OPTIMIZATION DECISION OF PURCHASING AND SELLING POWER BETWEEN INDUSTRIAL PARK OPERATORS AND DISTRIBUTED OPTICAL STORAGE USERS BASED ON STACKELBERG GAME
With a large number of distributed photovoltaics connected to the user side of the park,its randomness and volatility make energy management in the industrial park microgrid more and more difficult.Energy storage provides an effective means to alleviate the above problems.In order to realize the efficient consumption of new energy on the user side of the park and the rational utilization of energy storage resources,and take into account the interests of users in multiple parks,an optimization model of power purchase and sale between industrial park operators and distributed optical storage users based on stackelberg game was proposed.In the model,the energy-consuming operators of the industrial park are used to manage the energy of multiple users in a unified manner,the price information is used to guide the users in the park to adjust the power consumption strategy,and the energy interaction between the operators and users is coordinated by the"low storage and high power generation"characteristics of distributed energy storage;and the feasibility and effectiveness of the proposed method are verified by a simulation example.The results show that the power purchase and sale optimization decision of industrial park operators and distributed optical storage users based on stackelberg game can give consideration to the economy of park operators and users,and promote the coordinated development of new energy and energy storage.
distributed power generationdecision makingenergy storageenergy transferstackelberg game
NETL
NSTL
万方数据
维普
