Research On Source-Load-Storage Collaborative Scheduling Strategies For Enhancing New Energy Accommodation Capability Based On Game Theory

In order to alleviate the energy crisis and the greenhouse effect caused by the burning of fossil energy and accelerate the realization of the "double carbon goal",the power system is transforming towards clean,low-carbon,and intelligent,with new energy sources represented by wind power,photovoltaic,etc.,and new loads with production and consumption properties developing rapidly.However,due to the strong randomness,volatility,and intermittency of these new "sources and loads",the stability and safety of the power system are severely challenged.Energy storage stations can enhance the flexibility of the power grid,promote the consumption of new energy,alleviate the contradiction between supply and demand in the time and space dimensions of the source and load,and play a key role in addressing the problem of grid-connected consumption of new energy.Therefore,in order to improve the regulation capacity of the power system and analyze the decision-making behavior and interest demands of multiple subjects participating in new energy consumption,the thesis adopts game theory to study source-load-storage collaborative scheduling strategies for enhancing new energy accommodation capability,so as to increase the depth of new energy consumption in the power system and improve the economy and reliability of system operation,mainly as follows:(1)The thesis firstly describes the operating characteristics and models of new energy power systems,analyzes the structure and operating characteristics of wind power,photovoltaic,and combined heat and power(CHP)generation units,and establishes mathematical models;secondly,it studies the classification,dispatching conditions,and action mechanisms of flexible loads on the demand side and gives relevant constraints;finally,it summarizes the electrochemical energy storage forms suitable for application in energy storage stations and establishes the operation model and revenue and cost models of energy storage stations.(2)The thesis proposes a master-slave game-based scheduling strategy for the coordinated consumption of new energy by source,load,and storage,based on the introduction of load aggregators to address the problem of the insufficient capacity of independently operating virtual power plants(VPPs)to consume new energy in the region.The thesis takes an independent VPP that aggregates multiple types of distributed energy sources as the leader at the top and a bi-directional load aggregator with demand response capability as the follower at the bottom.The results show that: the triad of source,load,and storage can achieve a win-win situation and effectively improve the level of new energy consumption under the game mechanism of real-time electricity and heat prices;the introduction of energy storage plants smooths out the fluctuations of load and new energy output;it not only improves the source-side VPP supply revenue but also reduces the cost of electricity for customers while ensuring the satisfaction of load-side energy use;and it improves the demand response capability of customers.Increase the system’s wind power and PV access space.(3)In response to the problem of insufficient local consumption of new energy caused by the difference in energy generation and consumption between regions,a cooperative gamebased optimal regulation strategy for the consumption of new energy by multiple virtual power plants with shared energy storage is proposed.A cooperative alliance of multiple VPPs is formed to share energy and storage in order to achieve local consumption and reduce operating costs;the alliance shares generation costs based on the improved Shapley method.The results show that,compared with independent VPPs,the alliance of multiple types of VPPs can reasonably utilize the wind and solar resources between different regions and reduce the cost of power generation;the introduction of internal trading tariffs can significantly improve the enthusiasm of VPPs to participate in the alliance’s power mutual aid and the power complementarity between different power sources.The leasing of energy storage as a whole saves energy and power capacity compared to the use of energy storage by each VPP individually,which not only makes efficient use of energy storage resources but also provides room for profitability for energy storage operators;by improving the Shapley value to share the costs of the alliance,the operating costs of each VPP are closer to reality and the revised results are fairer and more reasonable,which is of great significance to motivate more VPPs to actively join the alliance;in addition,the use of the chance constraint method to cope with uncertainty in wind and PV output can increase the robustness of multiVPP cooperative operations.The manager can choose an appropriate confidence level to ensure system reliability while taking the economy into account.