Game Theory Based Decision Making Method For Load-Source Coordinated Peak Regulation In Power Grid With Wind Power Cluster Integration

Since the integration of wind power which is an important clean energy substitution increases the load peak valley difference,the development of wind power presents a great challenge to the system in peak regulation,which is specified in the following two aspects:1.In the valley load period when electricity demand is smaller,limited ability of conventional power to decrease its output results in great amount of congested wind power.2.In the peak load period when electricity demand is larger and the system suffers insufficiency of spinning reserve,compulsory load loss may happen if the actual output of wind power clusters is far smaller than prediction.New peak regulation resources and methods are in great need since the conventional peak regulation pattern cannot properly deal with these challenges.Meanwhile,a grid which is integrated with wind power clusters,usually constructs large capacities of intensive energy loads with discrete or continuous regulation capabilities.Combined with the conventional power,the intensive energy load can serve as an effective peak regulation resource,thus contribute to peak regulation for wind power generation.It is worth noting that the peak regulation is not only a technical behavior,but also an economic behavior.Load-source coordinated peak regulation involving wind power companies,conventional power generation enterprises and the intensive energy enterprises,all of which belong to different management systems,is no longer a decision of an economic community in the vertical management system of grid and source,but features with a non-centralized control pattern.Traditional centralized control and optimization method can only obtain the global optimal solution of the technical level,leaving it an ideal solution.Since the ideal solution can not reflect the economic interests among multi-subjects,the optimal control strategy got is difficult to implement in practice.Therefore,this paper proposes a game theory based decision making method for load-source coordinated peak regulation in power grid with wind power clusters integration.The proposed method can reflect the non-centralized feature among the regulation subjects and analyze the economic benefits within the technical constraints.The decision achieved through the proposed method is a balanced solution that the main subjects have consensus on,which makes it more practical.The main research contents are as follows:The economic and technical feasibility of the load-source coordinated peak regulation in power grid with wind power clusters integration is analyzed.First,based on researches on the impact of wind power on peak regulation and the intensive energy load response characteristics,mechanism of load-source coordinated peak regulation is analyzed to illustrate its effectiveness and technical feasibility.Secondly studies on the non-centralized characteristics of load-source coordinated peak regulation and discussions of economic interests among multi subjects are carried out to clarify that the method is economically practical and that reasonable peak incentives can contribute to a win-win situation between the main subjects.Finally it is pointed out that the decision making method of load-source coordinated peak regulation is feasible in practice only when both aspects of technology and economy are taken into accounts.To consume the congested wind power in "valley fitting" period in the grid with access to wind power clusters resulted from insufficient regulation capacity of conventional source,a game decision making method involving intensive load for"valley fitting" is proposed.First,from the technical view,an optimization decision making model for "valley fitting" involving intensive energy load is built.And the existence of the technical decision is confirmed.Then,from the economic point of view,Stackelberg game theory based decision making model involving intensive energy load is constructed,in which both of intensive energy enterprises(leading side)and wind power enterprises strive for maximum benefits.Thirdly" game theory based"valley fitting" decision making method constrained with technical requirements is put forward.The method attempts to find economic equilibrium consumption of congested wind power within the technical constraints.And finally the feasibility of the Game theory based decision making method for "valley fitting" involving intensive energy load is verified by simulation analysis.Considering the risk of load loss which may results from great fluctuation and prediction error of the active power output of wind power clusters,a game theory based decision making method for load-source coordinated "peak shaving" is put forward.Firstly,analysis of load-source coordinated peak regulation optimization decision making model from technical aspects is done,and the disadvantage in practicability of technical decision minimizing load loss risk is illustrated.Secondly,from economic perspective,principle and the applicability of this bilateral game based on Nash equilibrium are analyzed.And a game theory based "peak shaving"decision making model balancing economic benefits among multi subjects is presented,in which both of the conventional generation enterprises and intensive energy enterprises strive for maximum benefits and provide spinning reserve on basis of economic equilibrium.Thirdly,game theory based "peak shaving" decision making constrained with technical requirements is proposed.The method attempts to find economic equilibrium risk penalty of load loss within the technical constraints.Finally,the practicability of the method is verified by simulation analysis.On the basis of the research above,the paper puts forward game theory based decision making method for subsection load-source coordinated peak regulation in power grid with wind power cluster integration.Firstly,the definition and division method of "valley fitting" period,"peak shaving" period and "rest" are given,and based on that a framework of subsection control is built.Then game theory based decision making method for subsection load-source coordinated peak regulation is illustrated,that is the Stackelberg game theory based decision making method constrained with technical requirements is employed in the "valley fitting" period,while another method which adopts bilateral game theory based Nash equilibrium is used in "peak shaving" period.Finally,effectiveness of the proposed method in promoting wind power consumption and reducing the risk load loss is certified through simulations.