首页|基于随机演化博弈论的电力系统多能源主体协同运行策略

基于随机演化博弈论的电力系统多能源主体协同运行策略

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风光出力的随机性和波动性以及各能源主体之间存在有限理性,导致风光消纳率低.为实现各能源主体利益最大化,提高风光消纳率,提出基于随机演化博弈论的电力系统多能源主体协同运行策略.首先,采用Wasserstein指标,搭建风光不确定性模型,得到风光出力最优场景;然后,基于随机演化博弈理论,分析能源供电站和负荷聚合商之间的博弈关系,建立以最小化调度成本和污染成本为目标的系统优化运行模型;最后,以甘肃省河西地区含高比例新能源的电力系统为算例进行仿真验证.结果表明,所提策略能够平抑风光出力波动性,提高可再生能源的消纳率,实现系统的经济运行.
Multi-energy entities cooperative operation strategy of power system based on stochastic evolution game theory
The randomness and fluctuation of wind and photovoltaic output,as well as the bounded rationality among various energy enti-ties,result in low wind and solar consumption rates.In order to maximize the interests of each energy entity and improve the wind and solar consumption rate,a multi-energy entities cooperative operation strategy of power system based on stochastic evolution game theory was proposed.Firstly,the Wasserstein index was used to build a wind and photovoltaic uncertainty model to obtain the optimal scenario of wind and photovoltaic output.Then,based on the stochastic evolution game theory,the game relationship between the energy power supply station and the load aggregator was analyzed,and the system optimal operation model was established with the goal of minimizing the dispatch cost and pollution cost.Finally,the power system with high proportion new energy in Hexi area of Gansu Province was taken as an example for simulation verification.The results show that the proposed strategy can flexibly suppress the fluctuation of wind and photovoltaic output,improve the consumption rate of renewable energy,and achieve the economic operation of the system.

multi-energy entitiescooperative operationstochastic evolution gamescenery uncertaintyoptimal scenario

杨春祥、冯文韬、邵冲、张晓斌、朱宗耀

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国网甘肃省电力公司,甘肃兰州 730000

国网甘肃省电力公司电力科学研究院,甘肃兰州 730000

多能源主体 协同运行 随机演化博弈 风光不确定性 最优场景

2024

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子:0.221
ISSN:1003-0506
年,卷(期):2024.46(11)