Research On Investment Strategy And Capacity Planning Of Cloud Energy Storage Based On Evolutionary Game

As a new energy storage mode,cloud energy storage can enable users to use electric energy whenever and wherever they need it.Building centralized energy storage facilities and renting distributed energy storage resources can achieve economies of scale and improve the utilization rate of idle resources,thus releasing more dividends for society.However,the high construction cost of energy storage facilities restricts their large-scale application.In this context,joint investment in cloud energy storage by cloud energy storage operators and power grids helps to lower the investment threshold of cloud energy storage and guide the orderly development and sustainable development of the cloud energy storage business model.Given the difficulty in balancing the conflicts of interests among various investors in the multi-agent co-investment cloud energy storage mode,as well as the limitations of the traditional game method assuming that participants are completely rational,this paper proposes a new cloud energy storage planning method based on evolutionary game co-investment between cloud energy storage operators and power grids.The main research contents of this paper are as follows:Firstly,it analyzes cloud energy storage,evolutionary game,and critical operating equipment.It includes the basic concept and operation mechanism of cloud energy storage,the difference between the evolutionary game and classical game,the core concept of the evolutionary game,and the analysis of critical equipment such as photovoltaic,fan,and energy storage battery,which lays a theoretical foundation for the subsequent modeling.Secondly,based on the traditional two-strategy set evolutionary game,the decision-making behavior of each player in the multi-agent investment cloud energy storage scenario is analyzed.Based on the core concepts of the evolutionary game theory,such as replication dynamic equation and evolutionary stability strategy,and aiming at the minimum economic payment of each investment player,an evolutionary game model with the limited rationality of participants is established from the perspective of the participants,strategy set and payment function.Through simulation examples,the unilateral evolutionary stability strategy of the system is discussed,the strategy selection behavior of government,power grid,and cloud energy storage operators in the process of joint investment in cloud energy storage is studied,and the key factors affecting the strategy selection behavior of each main body are analyzed in depth,which provides the basis for further analysis of cloud energy storage capacity planning through the multi-strategy set evolutionary game method in the following chapters.Finally,energy storage capacity planning is carried out for multi-agent investment cloud energy storage scenario based on the multi-strategy set evolutionary game.The continuity of decision variables in the planning problem is solved through the multi-strategy set evolutionary game planning method containing 500 strategies.The evolution state of each strategy under the constantly changing game environment is analyzed by establishing the replicator dynamic equation.Finally,the evolution state of each strategy is analyzed,and the evolutionarily stable strategy is obtained.Using the existing power distribution system and the local real load data of a city in northwest China as simulation examples,the economy and effectiveness of the proposed method are verified by comparison under different planning scenarios,such as single-agent investment scenario,multi-agent investment scenario,and multi-agent investment traditional game scenario.