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CN-122000876-A - Power grid operation scene generation method, system, electronic equipment and storage medium

CN122000876ACN 122000876 ACN122000876 ACN 122000876ACN-122000876-A

Abstract

The invention discloses a power grid operation scene generation method, a system, electronic equipment and a storage medium, wherein the method comprises the steps of setting scene generation conditions; the method comprises the steps of analyzing scene generation conditions to generate network topology, constructing an expected fault set adapting to different scene generation requirements according to the scene generation conditions, updating the network topology, acquiring new energy stations and load operation states, combining the scene generation conditions and the network topology adapting to current scene generation requirements to generate wind-light load time sequence data conforming to wind-light power generation rules and load power utilization rules of corresponding areas and time periods, performing unit combination optimization based on the wind-light load time sequence data to acquire unit combination and active power under the scene generation conditions, generating tide data based on the unit combination and the active power under the scene generation conditions, and performing association combination on the tide data and environment data to generate power grid operation scene data. The invention can automatically generate the power grid operation scene which accords with the physical rule and the operation constraint according to the service requirement.

Inventors

  • LUO YADI
  • QI XIAOLIN
  • SUN LUE
  • LV YAN
  • LI LI
  • WANG MIAO
  • MA XIAOCHEN
  • YANG NAN
  • HUANG YUPENG
  • LIU XINGWEI
  • TIAN XICHEN
  • Shi Shangqiu
  • SUN BO
  • CHENG LIANGCHENG
  • WANG YAN
  • LUO GE
  • TAO LEI
  • SONG XURI
  • HUANG YUNHAO

Assignees

  • 中国电力科学研究院有限公司

Dates

Publication Date
20260508
Application Date
20260119

Claims (20)

  1. 1. The utility model provides a power grid operation scene generation method which is characterized by comprising the following steps: Setting scene generation conditions; analyzing scene generation conditions to generate network topology; constructing an expected fault set adapting to different scene generation requirements according to scene generation conditions, and updating network topology; Acquiring a new energy station and a load running state, and generating wind-light load time sequence data which accords with wind-light power generation rules and load power utilization rules of corresponding areas and time periods by combining scene generation conditions and network topology which is suitable for current scene generation requirements; performing unit combination optimization based on the wind-light-load time sequence data to obtain unit combination and active power under the scene generation condition; Generating tide data based on the set combination and the active power under the scene generation condition; and carrying out association combination on the tide data and the environment data to generate power grid operation scene data.
  2. 2. The method for generating a power grid operation scene according to claim 1, wherein in the step of setting scene generation conditions, the scene generation conditions include any one or a combination of a plurality of time and place, operation indexes, power grid planning, primary energy, disaster event, meteorological environment, scheduling plan and load adjustment capability; Wherein, the time and place are necessary options, and other conditions are selectable options; The time and place setting is to set a time period, a data sampling interval and a power grid range, extract a matched power grid model version and power grid operation data according to a set time, acquire corresponding power grid historical data at a historical moment, acquire corresponding power grid planning prediction data at a future moment, acquire similar daily power grid operation data by combining other setting conditions when the historical data or the planning prediction data is missing; Setting operation indexes as target values of generated power grid operation scene setting indexes, wherein the indexes comprise safety and stability types, balance adjustment types, new energy consumption types and power grid profile types, the safety and stability types are provided with static safety indexes, the balance adjustment types comprise balance capacity and adjustment capacity, the new energy consumption types are new energy blocking indexes, and the power grid profile indexes comprise AC/DC channel disaster values and grades and equipment failure scales under disasters; the power grid planning setting comprises a newly-built power plant, a transformer substation, a new energy station, a distributed photovoltaic, an alternating current/direct current circuit, a transformer, various reactive compensation and change of each side for power grid transmission and transformation, and according to the setting, inquiring whether power grid planning equipment is modeled or not from an existing model version, directly using the modeled equipment, and newly building a related model in a future state diagram model without modeling; the primary energy setting comprises setting conditions of coal storage, gas storage and water supply, and converting related data into total electric quantity which can be generated by the power plant; According to the disaster event, converting the disaster event into power grid running situation variable quantity by utilizing expected faults which account for external disasters, and superposing the faults and power fluctuation on the extracted or scene-generated initial power grid running data to generate power grid running mode data under the disaster scene; the weather environment setting comprises setting of weather types, matching of the set weather environment time sequence data and time and place setting, and accordance with weather rules of the appointed time and the external environment of the regional power grid; The method comprises the steps of setting price factors, standby constraint, medium-and-long-term transaction, spot transaction, maintenance plan and tie-line plan condition data by a dispatching plan, judging whether a specified time period is a historical time or a future time, if the specified time period is the historical time, generating power data exchanged between power grid active power generation data and tie-line according to the setting by combining a dispatching plan function on the basis of the historical plan prediction and actual operation data, adjusting the data and deducing a future situation according to the setting condition by combining the dispatching plan function on the basis of the planning prediction data if the specified time period is the future time and combining the dispatching plan function if the specified time period is the future time, and generating the planning prediction data and deducing the future situation if the planning prediction data is absent; The load regulation capacity is set according to the equivalent load power supply area, and the industrial user load scale and the adjustable or interruptible capacity, the commercial and public building temperature control, the lighting load scale and the adjustable capacity, the resident user load scale and the adjustable capacity, the electric automobile load scale and the adjustable capacity, the aggregate scale and the adjustable capacity are set, and the adjustable capacity is quantized into the load response speed, the regulation power and capacity, the response direction and the control mode according to the condition setting.
  3. 3. The power grid operation scene generation method according to claim 2, further comprising the step of performing conflict verification on the set scene generation conditions, wherein the conflict verification comprises matching degree between time points and weather environments, disaster events, scheduling plans, power grid planning, primary energy sources, operation indexes and load adjustment capacity, and qualitative or quantitative association relations among various scene generation conditions are calculated according to analysis and statistics to form a verification rule.
  4. 4. The method according to claim 1, wherein in the step of generating the network topology by analyzing the scene generation conditions, the network topology and the corresponding calculation model under the scene generation conditions are generated by acquiring the power network model and the switching state or the switching state of the device and performing topology analysis.
  5. 5. The power grid operation scenario generation method according to claim 1, wherein in the step of constructing an expected fault set adapted to different scenario generation requirements according to scenario generation conditions and updating a network topology, weather data and power grid operation data during preset external weather conditions, equipment parameters and historical similar faults are obtained, a probability model is built for single equipment faults, a combined fault set is generated, and all fault equipment IDs of the fault set under the corresponding weather conditions are output.
  6. 6. The power grid operation scene generation method according to claim 5, wherein in the step of generating a cluster combined fault set, safety and stability assessment requirements are applied to different services, the probability of power grid equipment faults caused by the external environment within a period of time is dynamically assessed in combination with external environment, geographic position and equipment design parameters, an expected fault set adapting to the generation requirements of different scenes is generated, the propagation and evolution process of single fault-induced cluster faults is analyzed, the type of the cluster faults and the occurrence scene are screened out, the expected fault set of the power grid cluster transmitted faults within a period of time is generated, the expected fault set generation taking natural environment factors into consideration is started from the mechanism of natural disaster influence equipment, a model of the natural disaster-induced equipment fault probability is established, and then the cluster transmitted expected fault probability is calculated on the basis of single equipment fault probability assessment caused by disasters, so that the expected fault set is generated.
  7. 7. The power grid operation scene generation method according to claim 1 is characterized in that when wind-light load time sequence data conforming to wind-light power generation rules and load power utilization rules of corresponding areas and time periods are generated by combining scene generation conditions and network topology adapting to current scene generation requirements, random scene source load time sequence data in a deterministic expected scene or a plurality of groups of feasible domain ranges are generated according to the scene generation conditions, one group of time sequence data comprises concentrated wind power and photovoltaic in the corresponding area range and distributed photovoltaic power output data and load prediction data, a wind power field, a photovoltaic station, distributed photovoltaic and bus load data are respectively generated according to the number of new energy stations, equivalent loads and equivalent units, and a plurality of groups of wind-light load time sequence data, distributed photovoltaic data and load data are same, and a plurality of groups of new energy stations, wind-light loads and equivalent units are set data, the groups of time sequence data comprise groups of feasible domain time sequence data conforming to wind power, photovoltaic and load fluctuation in the specified conditions, the generated time sequence data conforms to wind power, wind-light power and photovoltaic and load fluctuation in the specified areas, wind-light load power output data and wind-light load fluctuation in the specified conditions, wind-light load power generation rules in the wind-light load time sequence data and wind-fluctuation in the specified areas and wind-light load fluctuation in the specified time sequence data is set according to the wind power output power consumption rules and wind power consumption rules in the specified time period.
  8. 8. The power grid operation scene generation method according to claim 7, wherein the minimum time length unit of the wind-solar-load time sequence data is 1 hour, the minimum time interval is 1 minute, the time sequence data of 1-24 hours is generated once, the time interval is 1, 5, 15 or 60 minutes, the generation requirements of time sequence data with different time lengths and time intervals are supported, the data with a week time length is not more than 15 minutes, the data with a month or year time length is not more than 60 minutes, when the time sequence data of the next day is required to be generated, the generation result of the current day is used as the input of the generation data of the next day to be generated in a rolling mode, and when wind-solar power generation electricity quantity or load electricity consumption quantity in a certain period is specified, the generated time sequence data meets the electricity quantity constraint requirement.
  9. 9. The power grid operation scene generation method according to claim 1, wherein the unit combination optimization is performed based on wind-light-load time sequence data, when unit combination and active power under scene generation conditions are obtained, network topology of a day to be generated, wind-light-load time sequence data, a mouth plan, similar day tie line power and a conventional unit power generation plan are obtained, unit combination optimization problem solving is performed, and unit start-stop mode and active power data under specified scene generation conditions are output; in the step of solving the unit combination optimization problem, carrying out oral plan decomposition on a provincial power grid, and adopting a historical proportion method or a manual appointed proportion method based on similar days to disassemble the total power to each line; the method for decomposing the total power to each line based on the history proportion method of similar days comprises the following steps: For each similar day, counting the proportion of the total active power value transmitted by each tie member in the same time period to the tie group, if a plurality of similar days exist, weighting according to time proximity, and distributing the total tie planned power of the day to be generated in proportion: the weighted recommendation duty cycle is calculated according to the following expression: Total mouth planning power for day of day to be generated Proportionally, the expression is calculated as follows: the manual assignment proportion method adopts manual setting of fixed distribution coefficients for each tie line group and tie line members; the implementation modes comprise the following steps: For each group of source load random scenes, independently calling a complete power generation plan optimization model to generate unit combination and output data, and averaging the unit combination and the output data to obtain unit power generation time sequence data; The method comprises the steps of firstly, generating a plurality of groups of unconditional source load random scenes by only designating time and region, obtaining corresponding equivalent load time sequence active data for each group of source load random scenes, clustering the plurality of groups of data by a cluster analysis algorithm, taking the median equivalent load time sequence data of all data in the group, calling a power generation plan model to generate a unit combination, superposing all original new energy power generation time sequence data and load active data in the corresponding group, and adjusting unit output by combining alternating current power flow to obtain unit time sequence output data for each source load scene, wherein the processing modes of each group are consistent; Generating a group of source load operation scenes with the highest possibility according to the appointed time and place, operation indexes, power grid planning, primary energy, disaster events or meteorological environment conditions, calling a power generation plan model to obtain power generation plan data, setting an optimization target, calling a safety constraint unit combination SCUC to generate a unit combination, and superposing a plurality of groups of unconditional random combination data to adjust the unit output; And fourthly, adopting an artificial intelligence method, only designating time and region, generating a plurality of groups of unconditional source load random scenes, calling a power generation plan model, aiming at each group of source load data, obtaining a group of corresponding power generation plans, and solving the unit combination and the active output through a large model.
  10. 10. The method for generating the power grid operation scene according to claim 1, wherein in the step of generating the power flow data based on the set combination and the active power under the scene generation condition, the power flow data set is generated by acquiring network topology, wind-light-load time sequence data, set combination and active power, a similar daily power grid model and operation data under the condition of day show to be generated, wherein the power flow data comprises voltage amplitude values, phase angles, branch power and reactive power output of each node.
  11. 11. The power grid operation scene generation method according to claim 1, further comprising checking the rationality of the section and the time sequence data at each moment after generating the power grid operation scene data, selecting corresponding indexes according to service requirements to classify the scene data, and eliminating redundant scenes.
  12. 12. A power grid operation scenario generation system, comprising: the condition setting module is used for setting scene generation conditions; the network topology generation module is used for analyzing scene generation conditions and generating network topology; The expected failure set construction module is used for constructing an expected failure set adapting to different scene generation requirements according to scene generation conditions and updating network topology; The wind-solar-load time sequence data generation module is used for acquiring a new energy station and a load running state, and generating wind-solar-load time sequence data which accords with wind-solar power generation rules and load power utilization rules of corresponding areas and time periods by combining scene generation conditions and network topology which is suitable for current scene generation requirements; The generating and transmitting time sequence data generating module is used for performing unit combination optimization based on the wind-solar-load time sequence data to acquire unit combination and active power under the scene generating condition; the tide data generation module is used for generating tide data based on the unit combination and the active power under the scene generation condition; And the operation scene data generation module is used for carrying out association combination on the tide data and the environment data to generate power grid operation scene data.
  13. 13. The grid operation scenario generation system of claim 12, wherein the scenario generation conditions set by the condition setting module include any one or more of a combination of time and place, an operation index, a grid plan, a primary energy source, a disaster event, a meteorological environment, a dispatch plan, and a load regulation capability; Wherein, the time and place are necessary options, and other conditions are selectable options; The time and place setting is to set a time period, a data sampling interval and a power grid range, extract a matched power grid model version and power grid operation data according to a set time, acquire corresponding power grid historical data at a historical moment, acquire corresponding power grid planning prediction data at a future moment, acquire similar daily power grid operation data by combining other setting conditions when the historical data or the planning prediction data is missing; Setting operation indexes as target values of generated power grid operation scene setting indexes, wherein the indexes comprise safety and stability types, balance adjustment types, new energy consumption types and power grid profile types, the safety and stability types are provided with static safety indexes, the balance adjustment types comprise balance capacity and adjustment capacity, the new energy consumption types are new energy blocking indexes, and the power grid profile indexes comprise AC/DC channel disaster values and grades and equipment failure scales under disasters; the power grid planning setting comprises a newly-built power plant, a transformer substation, a new energy station, a distributed photovoltaic, an alternating current/direct current circuit, a transformer, various reactive compensation and change of each side for power grid transmission and transformation, and according to the setting, inquiring whether power grid planning equipment is modeled or not from an existing model version, directly using the modeled equipment, and newly building a related model in a future state diagram model without modeling; the primary energy setting comprises setting conditions of coal storage, gas storage and water supply, and converting related data into total electric quantity which can be generated by the power plant; According to the disaster event, converting the disaster event into power grid running situation variable quantity by utilizing expected faults which account for external disasters, and superposing the faults and power fluctuation on the extracted or scene-generated initial power grid running data to generate power grid running mode data under the disaster scene; the weather environment setting comprises setting of weather types, matching of the set weather environment time sequence data and time and place setting, and accordance with weather rules of the appointed time and the external environment of the regional power grid; The method comprises the steps of setting price factors, standby constraint, medium-and-long-term transaction, spot transaction, maintenance plan and tie-line plan condition data by a dispatching plan, judging whether a specified time period is a historical time or a future time, if the specified time period is the historical time, generating power data exchanged between power grid active power generation data and tie-line according to the setting by combining a dispatching plan function on the basis of the historical plan prediction and actual operation data, adjusting the data and deducing a future situation according to the setting condition by combining the dispatching plan function on the basis of the planning prediction data if the specified time period is the future time and combining the dispatching plan function if the specified time period is the future time, and generating the planning prediction data and deducing the future situation if the planning prediction data is absent; The load regulation capacity is set according to the equivalent load power supply area, and the industrial user load scale and the adjustable or interruptible capacity, the commercial and public building temperature control, the lighting load scale and the adjustable capacity, the resident user load scale and the adjustable capacity, the electric automobile load scale and the adjustable capacity, the aggregate scale and the adjustable capacity are set, and the adjustable capacity is quantized into the load response speed, the regulation power and capacity, the response direction and the control mode according to the condition setting.
  14. 14. The grid operation scenario generation system according to claim 13, further comprising a condition verification module, configured to perform conflict verification on the set scenario generation conditions, where the conflict verification includes matching degrees between a time location and a meteorological environment, a disaster event, a scheduling plan, a grid plan, a primary energy source, an operation index and a load adjustment capability, and form a verification rule according to qualitative or quantitative association relationships between analysis and statistics of various scenario generation conditions.
  15. 15. The grid operation scenario generation system according to claim 12, wherein the network topology generation module generates the grid network topology and the corresponding calculation model under the scenario generation condition by acquiring the grid model and the on-off state or the on-off state of the device and performing topology analysis.
  16. 16. The grid operation scenario generation system according to claim 12, wherein the expected fault set construction module acquires weather data and grid operation data during preset external weather conditions, equipment parameters and historical similar faults, establishes a probability model for single equipment faults, generates a cluster combined fault set, and outputs all fault equipment IDs of the fault set under the corresponding weather conditions.
  17. 17. The grid operation scenario generation system according to claim 16, wherein the expected failure set construction module dynamically evaluates the probability of grid equipment failure caused by external environment within a period of time by combining external environment, geographic position and equipment design parameters to generate an expected failure set adapting to different scenario generation requirements when generating a group-sending combined failure set, analyzes the propagation and evolution process of single failure-induced cascading failure, screens out cascading failure types and occurrence scenarios to generate a grid group-sending failure expected failure set within a period of time, and establishes a model of natural disaster-induced equipment failure probability based on a mechanism of natural disaster-affected equipment considering expected failure set generation of natural environmental factors, and calculates the group-sending expected failure probability based on the evaluation of the single equipment failure probability caused by disaster to generate the expected failure set.
  18. 18. The power grid operation scene generation system according to claim 12, wherein the wind-solar-load time sequence data generation module generates a group of deterministic expected scene or random scene source load time sequence data in a plurality of groups of feasible domain ranges according to scene generation conditions, the group of time sequence data comprises centralized wind power, photovoltaic and distributed photovoltaic output data and load prediction data in corresponding region ranges, a plurality of wind power plant, photovoltaic station, distributed photovoltaic and bus load data are respectively generated according to the number of new energy stations, equivalent loads and equivalent units, the same centralized output data, distributed photovoltaic data and load data, and a plurality of groups of new energy stations, equivalent loads and equivalent unit data can be disassembled, the group of time sequence data comprises a plurality of groups of feasible domain time sequence data which accords with wind power, photovoltaic, distributed photovoltaic and load fluctuation rules in specified conditions, the generated wind-solar-load time sequence data accords with internal association rules of wind power, wind power output and load power consumption in specified regions and time periods, and output wind power and load fluctuation rules in specified regions and time periods.
  19. 19. The power grid operation scene generation system according to claim 18, wherein the minimum time length unit of the wind-light load time sequence data generated by the wind-light load time sequence data generation module is 1 hour, the minimum time interval is 1 minute, the time sequence data of 1-24 hours are generated once, the time interval is 1, 5, 15 or 60 minutes, the generation requirements of time sequence data with different durations and time intervals are supported, the time interval of one week is not more than 15 minutes, the time interval of one month or one year is 60 minutes, when the time sequence data of the next day is required to be generated, the current day generation result is taken as the input of the next day generation data to be generated in a rolling mode, and when wind-light power generation electricity quantity or load electricity consumption quantity in a certain period is specified, the generated time sequence data meets the electricity quantity constraint requirement.
  20. 20. The power grid operation scene generation system according to claim 12, wherein the power generation and transmission time sequence data generation module acquires network topology of a day to be generated, wind-solar-load time sequence data, a mouth plan, tie line power of a similar day and a conventional unit power generation plan, performs unit combination optimization problem solving, and outputs unit start-stop mode and active power data under the specified scene generation condition; when solving the unit combination optimization problem, carrying out oral plan decomposition on a provincial power grid, and adopting a historical proportion method or a manual specified proportion method based on similar days to disassemble the total power to each line; the method for decomposing the total power to each line based on the history proportion method of similar days comprises the following steps: For each similar day, counting the proportion of the total active power value transmitted by each tie member in the same time period to the tie group, if a plurality of similar days exist, weighting according to time proximity, and distributing the total tie planned power of the day to be generated in proportion: the weighted recommendation duty cycle is calculated according to the following expression: Total mouth planning power for day of day to be generated Proportionally, the expression is calculated as follows: the manual assignment proportion method adopts manual setting of fixed distribution coefficients for each tie line group and tie line members; the implementation modes comprise the following steps: For each group of source load random scenes, independently calling a complete power generation plan optimization model to generate unit combination and output data, and averaging the unit combination and the output data to obtain unit power generation time sequence data; The method comprises the steps of firstly, generating a plurality of groups of unconditional source load random scenes by only designating time and region, obtaining corresponding equivalent load time sequence active data for each group of source load random scenes, clustering the plurality of groups of data by a cluster analysis algorithm, taking the median equivalent load time sequence data of all data in the group, calling a power generation plan model to generate a unit combination, superposing all original new energy power generation time sequence data and load active data in the corresponding group, and adjusting unit output by combining alternating current power flow to obtain unit time sequence output data for each source load scene, wherein the processing modes of each group are consistent; Generating a group of source load operation scenes with the highest possibility according to the appointed time and place, operation indexes, power grid planning, primary energy, disaster events or meteorological environment conditions, calling a power generation plan model to obtain power generation plan data, setting an optimization target, calling a safety constraint unit combination SCUC to generate a unit combination, and superposing a plurality of groups of unconditional random combination data to adjust the unit output; And fourthly, adopting an artificial intelligence method, only designating time and region, generating a plurality of groups of unconditional source load random scenes, calling a power generation plan model, aiming at each group of source load data, obtaining a group of corresponding power generation plans, and solving the unit combination and the active output through a large model.

Description

Power grid operation scene generation method, system, electronic equipment and storage medium Technical Field The invention belongs to the technical field of power systems, and particularly relates to a power grid operation scene generation method, a system, electronic equipment and a storage medium. Background In the traditional scheduling mode, scheduling operators develop the power grid operation mode arrangement according to the conditions of load electricity demand, power generation capacity, network electricity transmission capacity, equipment maintenance demand, standby demand and the like, and generate data such as operation mode and section limit, unit combination, output curve, tie line plan, maintenance plan and the like. With the rapid development of a novel power system, new energy output and load power are greatly affected by meteorological conditions, particularly the influence is obvious under extreme meteorological conditions, different operation modes of the power system suddenly increase, and the dispatching automation technology verification, the artificial intelligence application training, the power grid situation deduction and the power grid safety boundary identification all need to pass through multi-scene verification of power grid operation so as to cope with random changes of the novel power system. The essence of the generation of the power grid operation scene is to set part of known conditions and to find a set of data describing the power grid operation state. And generating a group of internal and external operation data of the power grid according to scene definition and description, and quantitatively describing internal and external environment, equipment state, trend of dynamic change of tide and the like of the power grid. The power grid is a huge system balanced in real time, the power generation and the power utilization must be balanced all the time, and the state of the power grid is instantaneously changeable. The power system transmission and transformation are affected by external environment, electricity consumption behavior, power grid planning, equipment state and other factors, the power system transmission and transformation are affected by different factors, and the power system transmission and transformation are mutually coupled, so that the power grid operation scene data is difficult to globally generate by adopting a method. In the currently applied and issued patent, the scene generation technology in the field of power systems is usually performed in a decoupling way, including generation of new energy power generation scenes at the source side (such as publication number CN120849990A, CN120851298a, etc.), generation of power load scenes at the load side (such as publication number CN120896146A, CN120317761a, etc.), and the scenes corresponding to uncertainty fluctuation of wind, light and load are considered in the prior art, but the description of local fields is often focused, the overall reflection of the running state of the whole power grid is lacking, and the running state of the power grid under the global view cannot be provided. Some technologies try to consider source-load interactions and the operational coupling characteristics between them to obtain an uncertainty scenario (such as CN120911792A, CN120807223 a), but are still insufficient to fully and accurately simulate the overall operational state change of the power grid due to the failure to fully consider interactions between all key factors. More importantly, the prior art cannot actively construct a complete operation scene which is strictly matched with the complex service condition (such as equipment fault caused by extreme weather) according to the complex service condition specified by a user and is physically consistent with the complex service condition. Therefore, in the context of high-proportion renewable energy access and extreme event frequency of a novel power system, a technical scheme capable of automatically, cooperatively and completely generating a power grid operation scene containing all elements such as topology, time sequence, faults, tide and the like according to specified service conditions is needed, and no disclosure technology is available at present to achieve the aim. Disclosure of Invention Aiming at the problems in the prior art, the invention provides a power grid operation scene generation method, a system, electronic equipment and a storage medium, which can automatically generate a power grid operation scene conforming to physical laws and operation constraints according to service requirements, integrate key elements such as meteorological conditions, disaster events, primary energy supply, equipment availability states (including operation, standby, overhaul and fault probabilities), load requirements and adjustment capacity, new energy (centralized or distributed) output characteristics, conventional unit power generation capacity and the lik