CN-122026456-A - Wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system

CN122026456ACN 122026456 ACN122026456 ACN 122026456ACN-122026456-A

Abstract

The invention discloses a wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system, and relates to the technical field of new energy power generation and intelligent power grid operation control. The system comprises a data acquisition and fusion module, a wind-solar storage collaborative optimization module, an intelligent research and judgment and situation assessment module, a collaborative control and emergency treatment module and a visual centralized control platform module, wherein the data acquisition and fusion module is used for acquiring and fusing wind-solar storage and grid side multisource operation data in real time, the wind-solar storage collaborative optimization module is used for carrying out rolling optimization scheduling on combined output based on a prediction model and a multistarget optimization algorithm, the intelligent research and judgment and situation assessment module is used for constructing an assessment index system and carrying out classification assessment on the operation state of a system, the collaborative control and emergency treatment module is used for issuing a control strategy and starting a fault treatment process, and the visual centralized control platform module is used for realizing comprehensive display and man-machine interaction of whole system data. The intelligent evaluation and judgment and centralized visual management and control method has the beneficial effects that the intelligent evaluation and judgment and centralized visual management and control of the operation state of the wind-solar energy storage resource are realized, and the new energy consumption rate, the system operation economy and the safety reliability are effectively improved.

Inventors

ZHAO JINE
ZHAO YANG
XU ZHENGPENG
ZHONG RUIYAN
HOU HUAPENG
LI CHAO
JIAO SHUMING
Tian Zhigui
HU ANDONG
GAO YONGJIAN
CHEN MUYUAN

Assignees

云鼎科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251223

Claims (10)

1. Wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system is characterized by comprising: The data acquisition and fusion module is used for acquiring operation data of wind power, photovoltaic, energy storage equipment and a power grid side in real time, cleaning, aligning and fusing multi-source heterogeneous data and generating a data sequence with uniform time stamps; The wind-solar-energy-storage collaborative optimization module is used for establishing a wind power prediction model, a photovoltaic power prediction model and an energy storage charge-discharge optimization model based on the fused data, and performing rolling optimization scheduling on wind-solar-energy-storage combined output by adopting a multi-objective optimization algorithm; the intelligent research judgment and situation assessment module is used for constructing a wind-solar storage system running state assessment index system and classifying and assessing the system running state based on real-time data and historical data; The cooperative control and emergency treatment module is used for issuing a control strategy in real time according to the optimized dispatching instruction and the state evaluation result and starting an emergency treatment flow when the system is abnormal or fails; And the visual centralized control platform module is used for visually displaying system operation data, an optimization result, state evaluation and control instructions and providing a man-machine interaction interface.
2. The wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system according to claim 1, wherein the data acquisition and fusion module comprises: The data acquisition unit is used for acquiring the wind speed, the wind direction and the unit power of the wind power plant, the irradiance, the temperature and the inverter output power of the photovoltaic power station, the state of charge (SOC) and the charge and discharge power of the energy storage system, and the load demand and electricity price signals of the power grid side in real time through the communication protocol interface; The data preprocessing unit is used for detecting and eliminating abnormal values of the collected original data, smoothing high-frequency noise by adopting sliding window mean value filtering, and carrying out linear interpolation alignment on the data with different sampling frequencies to form a data sequence with uniform time intervals; And the data fusion unit maps the multi-source data to a unified time stamp reference by adopting a weighted fusion algorithm, and the fusion weight is dynamically adjusted according to the reliability and instantaneity of the data source to generate a system-level fusion data matrix.
3. The wind-solar-energy-storage integrated cooperative centralized control and intelligent research and judgment treatment system according to claim 1, wherein the wind-solar-energy-storage cooperative optimization module comprises: the wind power prediction unit adopts a wind power prediction model based on a long-short-term memory network LSTM, inputs historical wind speed, wind direction, temperature and power data, and outputs a wind power prediction sequence of 4 hours in the future; The photovoltaic power prediction unit adopts a photovoltaic power prediction model based on combination of a convolutional neural network CNN and an LSTM, inputs historical irradiance, temperature, cloud cover and power data, and outputs a photovoltaic power prediction sequence of 4 hours in the future; The energy storage optimizing and scheduling unit establishes an optimizing model with the lowest system operation cost and the highest new energy consumption rate as targets, and the target function is expressed as: ; Wherein, the For the total number of time periods of the scheduling period, Is that The electricity price of the power grid in the time period, Is that The time period interacts with the power grid for power, For the energy storage device to wear out the cost function, Is that Time period energy storage charging and discharging power; constraint conditions comprise power balance constraint, energy storage SOC constraint, upper limit constraint and lower limit constraint of charge and discharge power and climbing rate constraint; and the optimization solving unit adopts an improved particle swarm algorithm to carry out rolling solving on the multi-objective optimization model, and updates the scheduling instruction every 15 minutes.
4. A wind-solar energy-storage integrated cooperative centralized control and intelligent research and judgment treatment system according to claim 3, wherein the energy storage abrasion cost function is expressed as: ; Wherein, the The energy storage cycle life attenuation coefficient is in the range of ; Is the rated capacity of energy storage; the investment cost is the energy storage per unit capacity; Is that And the absolute value of the energy storage charging and discharging power in the period.
5. The wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system according to claim 1, wherein the intelligent research and judgment and situation assessment module comprises: An index system construction unit for constructing a wind-solar energy storage system running state evaluation index system from four dimensions of safety, economy, reliability and resource utilization rate, the method comprises five core indexes including voltage deviation rate, frequency out-of-limit times, wind and light rejection rate, energy storage health degree and comprehensive cost deviation rate; the real-time evaluation unit is used for setting a threshold interval for each index, calculating index values based on real-time data, carrying out fuzzification processing according to membership functions, determining each index weight by adopting a hierarchical analysis method, and calculating the comprehensive evaluation score of the system; The state classification unit classifies the running state of the system into four types of normal, early warning, abnormal and fault according to the comprehensive evaluation score, and outputs classification results and key influence factors.
6. The wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system according to claim 5, wherein the membership function adopts a trapezoidal membership function, and is expressed as: Setting an index value The threshold interval is Wherein Its membership degree The calculation is as follows: ; Wherein, the As the lower limit of the index, Is the lower limit of the normal interval, Is the upper limit of the normal interval, Is the upper limit of the index.
7. The wind-solar-energy-storage integrated cooperative centralized control and intelligent research and judgment treatment system according to claim 1, wherein the cooperative control and emergency treatment module comprises: The control strategy generating unit generates power set values and grid-connected instructions of wind power, photovoltaic power and energy storage according to the optimized dispatching instructions and the real-time state evaluation results, and transmits the power set values and the grid-connected instructions to each station controller through a communication network; the abnormal detection unit monitors key parameters of the system in real time, and if voltage dip, frequency mutation, equipment communication interruption or power out-of-limit are detected, an abnormal alarm is triggered, wherein the power out-of-line comprises that the power exceeds a safety upper limit and the power is lower than a stability lower limit; The emergency treatment unit is used for presetting treatment plans of various typical fault scenes, including energy storage emergency support, new energy power limiting operation and load shedding strategies, and automatically matching the plans and starting execution when faults occur.
8. The wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system according to claim 7, wherein the anomaly detection unit adopts a mutation detection algorithm based on a sliding window, and comprises the following specific steps: let the current time be The time window length is The data sequence within the window is expressed as: ; Calculating the mean value of the data in the window And standard deviation ; If the current data point Satisfy the following requirements And judging the point to be a mutation point, and triggering an abnormal alarm.
9. The wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system according to claim 1, wherein the visual centralized control platform module comprises: The panoramic display unit displays the distribution positions of wind power stations, photovoltaic power stations, energy storage stations and power grid nodes based on a Geographic Information System (GIS), and refreshes the power, voltage and frequency data of each node in real time; The optimal scheduling display unit displays wind power, photovoltaic predicted power, an energy storage charge-discharge plan and power grid interaction power for 24 hours in the future in the form of curves and bar graphs; The situation evaluation display unit adopts an instrument panel and a thermodynamic diagram to display real-time numerical values and comprehensive scores of various evaluation indexes of the system, and highlights abnormal states; and the control instruction issuing unit provides a manual intervention interface and supports an operator to modify the scheduling plan, issue emergency control instructions and confirm or correct the fault treatment plan.
10. The wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system according to claim 1, further comprising: The system self-learning and optimizing module is used for carrying out on-line learning and dynamic optimization on wind power prediction models, photovoltaic power prediction models, optimization algorithm parameters and state evaluation index weights based on historical operation data and scheduling results, and improving the self-adaptive capacity of the system.

Description

Wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system Technical Field The invention relates to the technical field of new energy power generation and intelligent power grid operation control, in particular to a wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system. Background With the large-scale grid connection of new energy power generation represented by wind power and photovoltaic, the intermittence, volatility and randomness of the output of the grid power generation device bring great challenges to the safe and stable operation of the power grid. The energy storage system becomes a key support for stabilizing new energy fluctuation and improving the power grid digestion capacity due to flexible charge and discharge characteristics. Under the background, a wind-solar-energy-storage integrated operation mode becomes an important development trend. At present, an independent monitoring and decentralized control mode is adopted for the operation management of a wind-solar energy storage system, namely a wind power plant, a photovoltaic power station and an energy storage system are generally provided with independent monitoring systems, and a unified cooperative control strategy is lacked. The prior art scheme mainly has the following defects: 1. The synergy is insufficient, the information among all subsystems of the wind-solar energy storage is isolated, the control instructions are not optimized uniformly, the control instructions are all administrative, the globally optimal power distribution and energy management are difficult to realize, the overall operation economy is poor, and the phenomena of wind and light discarding still exist; 2. The prediction and scheduling precision is limited, wherein the existing power prediction model aims at single energy source, the space-time complementary characteristic of wind-light output and the adjustment potential of energy storage are not fully considered, the prediction precision is to be improved, the scheduling strategy aims at single economy, and the system safety, equipment life and other multi-objective collaborative optimization capability is weak; 3. the intelligent level is not high, the evaluation of the running state of the system depends on single threshold value alarm, and the comprehensive, dynamic intelligent research and judgment and situation awareness from the multi-dimension of safety, economy, reliability and the like are lacked, so that the potential risk cannot be accurately pre-warned; 4. emergency disposal relies on manual work, when the system is abnormal or fails, the existing system generally only provides alarm information, the generation and execution of the disposal plan highly depend on the experience of a dispatcher, the response speed is low, and the optimality of the disposal plan is difficult to ensure. Therefore, a system for integrating wind-solar energy and storage and cooperating centralized control and intelligent research and judgment is needed to solve the above problems. Disclosure of Invention The invention aims to provide a wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system, which realizes collaborative optimization scheduling of wind-solar-energy-storage resources, intelligent evaluation and judgment of running states and centralized visual management and control, and effectively improves new energy consumption rate, system running economy and safety reliability. The invention aims to achieve the aim, and the aim is achieved by the following technical scheme: the invention provides a wind-solar-energy-storage integrated collaborative centralized control and intelligent research and judgment treatment system, which comprises the following components: The data acquisition and fusion module is used for acquiring operation data of wind power, photovoltaic, energy storage equipment and a power grid side in real time, cleaning, aligning and fusing multi-source heterogeneous data and generating a data sequence with uniform time stamps; The wind-solar-energy-storage collaborative optimization module is used for establishing a wind power prediction model, a photovoltaic power prediction model and an energy storage charge-discharge optimization model based on the fused data, and performing rolling optimization scheduling on wind-solar-energy-storage combined output by adopting a multi-objective optimization algorithm; the intelligent research judgment and situation assessment module is used for constructing a wind-solar storage system running state assessment index system and classifying and assessing the system running state based on real-time data and historical data; The cooperative control and emergency treatment module is used for issuing a control strategy in real time according to the optimized dispatc