CN-121998169-A - New energy station simulation deduction method, system, medium and processor

CN121998169ACN 121998169 ACN121998169 ACN 121998169ACN-121998169-A

Abstract

The invention discloses a new energy station simulation deduction method, a system, a medium and a processor, and relates to the technical field of new energy station operation optimization, wherein the method comprises the steps of obtaining operation state data and resource prediction data of a new energy station; the method comprises the steps of synchronously constructing a station digital twin model based on running state data, loading resource prediction data as boundary conditions in the station digital twin model, paralleling different candidate running strategies, driving the station digital twin model to conduct advanced simulation deduction, respectively simulating running processes under the control of different candidate running strategies within the future preset period, generating multiple groups of preview result data corresponding to the candidate strategies, carrying out on-line evaluation and comparison on the multiple groups of preview result data based on a predefined optimized objective function, and outputting the optimal candidate running strategies as strategy recommendation. According to the invention, the result caused by different strategies can be predicted in advance by previewing the future in the virtual space, and the automatic control system makes an optimal decision.

Inventors

YANG FAN
CHEN YANG
HE YONG
CHEN ZHU
JIANG TAO
PAN XIAN
LI QI
TU HONGWEN
TIAN SHULIANG
LIU XU
BU JIAN
LI XUAN

Assignees

贵州送变电有限责任公司

Dates

Publication Date: 20260508
Application Date: 20251228

Claims (10)

1. The new energy station simulation deduction method is characterized by comprising the following steps of: acquiring running state data of a new energy station and resource prediction data of a future preset period; Synchronously constructing a digital twin model of the station based on the running state data, wherein the digital twin model comprises a performance simulation layer parameterized according to the state of the real-time equipment and a strategy simulation layer instantiated according to the current running strategy; Loading the resource prediction data as boundary conditions in the station digital twin model, and parallelly injecting at least two different candidate operation strategies; Driving the station digital twin model to conduct advanced simulation deduction, respectively simulating the operation process under the control of different candidate operation strategies in the future preset period, and generating a plurality of groups of preview result data corresponding to each candidate strategy; And on-line evaluation and comparison are carried out on the multiple groups of previewing result data based on a predefined optimization objective function, and an optimal candidate operation strategy is output as strategy recommendation.
2. The new energy station simulation deduction method according to claim 1, wherein the operation state data at least comprises real-time output power, switching state, available capacity and temperature data of key components of each power generation unit.
3. The new energy station simulation deduction method according to claim 2, wherein the step of synchronously constructing a station digital twin model based on the operation state data comprises the steps of: and setting the available capacity as an upper limit of the analog power of a corresponding power generation unit in a performance simulation layer, and taking the temperature of the key component as an input parameter of a loss calculation module in the performance simulation layer.
4. The new energy station simulation deduction method according to claim 2, wherein the step of synchronously constructing a station digital twin model comprises the steps of: In a simulation server independent of a physical station control system, initializing the simulation switching/backing state of each power generation unit according to the switching state in the running state data; and initializing internal intermediate variables in the performance simulation layer according to the real-time output power and the resource prediction data so as to enable the simulation starting state of the digital twin model of the station to be matched with the current actual running state of the physical station.
5. The new energy station simulation deduction method according to claim 2, wherein the parallel injection of at least two different candidate operation strategies comprises: the first strategy is an optimized operation strategy taking the maximization of the generating capacity of the full-field station as a target based on the resource prediction data; A second strategy, namely receiving and tracking a tracking operation strategy of a preset power instruction from an external system; and the first strategy and the second strategy synchronously start to be executed in the same initial state in the advanced simulation deduction.
6. The new energy station simulation deduction method according to claim 1, further comprising: in the advanced simulation deduction process, whether simulation operation data under any candidate operation strategy trigger a preset alarm condition or not is monitored in real time, if so, deduction is immediately interrupted, and an early warning report comprising a trigger strategy, trigger time and trigger content is generated.
7. The new energy station simulation deduction method according to claim 1, wherein the calculation mode of the optimization objective function is as follows: And carrying out weighted calculation on a plurality of key performance indexes in the plurality of groups of previewing result data based on preset multidimensional weight coefficients to generate comprehensive scores corresponding to each candidate operation strategy.
8. A new energy station simulation deduction system, characterized in that a new energy station simulation deduction method according to any one of claims 1 to 7 is applied, comprising: the data acquisition unit is used for acquiring the running state data of the new energy station and the resource prediction data of a future preset period; The digital twin engine is used for synchronously constructing a station digital twin model based on the running state data, and the digital twin model comprises a performance simulation layer parameterized according to the state of the real-time equipment and a strategy simulation layer instantiated according to the current running strategy; The strategy management unit is used for loading the resource prediction data as boundary conditions in the station digital twin model and parallelly injecting at least two different candidate operation strategies; The simulation deduction unit is used for driving the station digital twin model to carry out advanced simulation deduction, and respectively simulating the operation process under the control of different candidate operation strategies within the future preset period to generate a plurality of groups of deduction result data corresponding to each candidate strategy; And the evaluation decision unit is used for carrying out on-line evaluation and comparison on the multiple groups of the previewing result data based on a predefined optimization objective function and outputting an optimal candidate operation strategy as strategy recommendation.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored program, wherein the program when run controls a device in which the computer readable storage medium is located to perform the steps of a new energy station simulation deduction method according to any one of claims 1 to 7.
10. A processor, wherein the processor is configured to run a program, and wherein the program, when run, performs a new energy station simulation deduction method according to any one of claims 1 to 7.

Description

New energy station simulation deduction method, system, medium and processor Technical Field The invention relates to the technical field of operation optimization of new energy power stations, in particular to a new energy power station simulation deduction method, a system, a medium and a processor. Background At present, the new energy industry is developed on a large scale, stations such as wind power, photovoltaic power and the like gradually become energy supply core forces, but the new energy output is influenced by natural conditions, has strong fluctuation and intermittent characteristics, and the large-scale grid connection brings challenges to the stable operation of a power grid. Meanwhile, in the energy transformation background, the new energy station needs to consider the power generation efficiency, the safe operation and the power grid dispatching suitability, the traditional operation strategy depending on experience cannot meet the requirement of fine management, and the operation decision is needed to be optimized through a simulation deduction technology. The existing new energy station simulation technology mostly adopts a single-dimension simulation model, the dynamic coupling relation between the real-time state and the operation strategy of equipment is difficult to synchronously map, the boundary condition is fixed in the simulation process, the deviation between the simulation result and the actual operation is large, the deduction efficiency is low, the optimal decision output of multiple strategies in the future period cannot be realized, and the advanced optimization adjustment of the operation strategy of the station is difficult to support. Disclosure of Invention Aiming at the problem that the simulation of the new energy station cannot realize the optimal decision output of multiple strategies in the future period in the prior art, the invention provides a new energy station simulation deduction method, a system, a medium and a processor. The specific technical scheme is as follows: In a first aspect, the present invention provides a new energy station simulation deduction method, including: acquiring running state data of a new energy station and resource prediction data of a future preset period; Synchronously constructing a digital twin model of the station based on the running state data, wherein the digital twin model comprises a performance simulation layer parameterized according to the state of the real-time equipment and a strategy simulation layer instantiated according to the current running strategy; Loading the resource prediction data as boundary conditions in the station digital twin model, and parallelly injecting at least two different candidate operation strategies; Driving the station digital twin model to conduct advanced simulation deduction, respectively simulating the operation process under the control of different candidate operation strategies in the future preset period, and generating a plurality of groups of preview result data corresponding to each candidate strategy; And on-line evaluation and comparison are carried out on the multiple groups of previewing result data based on a predefined optimization objective function, and an optimal candidate operation strategy is output as strategy recommendation. Preferably, the operating state data includes at least real-time output power, switching state, available capacity of each power generation unit, and temperature data of critical components. Preferably, said synchronously constructing a digital twin model of a station based on said operational state data comprises: and setting the available capacity as an upper limit of the analog power of a corresponding power generation unit in a performance simulation layer, and taking the temperature of the key component as an input parameter of a loss calculation module in the performance simulation layer. Preferably, the synchronously constructing the digital twin model of the station includes: In a simulation server independent of a physical station control system, initializing the simulation switching/backing state of each power generation unit according to the switching state in the running state data; and initializing internal intermediate variables in the performance simulation layer according to the real-time output power and the resource prediction data so as to enable the simulation starting state of the digital twin model of the station to be matched with the current actual running state of the physical station. Preferably, the parallel injection of at least two different candidate operation strategies includes: the first strategy is an optimized operation strategy taking the maximization of the generating capacity of the full-field station as a target based on the resource prediction data; A second strategy, namely receiving and tracking a tracking operation strategy of a preset power instruction from an external system; and the first strategy an