| With the large-scale grid connection of renewable energy generation,the contradiction between the overall planning of renewable energy development and the planning of power grid construction has become increasingly prominent.As a specific way to open up to social electricity sales,renewable energy microgrid is connected with largescale renewable energy such as wind power and photovoltaic,which can effectively adapt to the development trend of renewable energy system in China.Under the background of large-scale development of renewable energy and rapid promotion of smart grid construction,in view of the characteristics of diversified using renewable energy microgrid,friendly grid connection and customizing load demand,renewable energy microgrid plays an increasingly prominent role in China’s energy structure transformation and power market reform,and has great development potential.At the same time,the renewable energy microgrid covers many stakeholders,including generation,utilization and distribution,and their interests are complex and changeable,which greatly restricts the development of renewable energy microgrid.In order to balance the interests among the multi-agents of renewable energy microgrid,this paper constructs the interest game model of renewable energy microgrid based on the multi-agent perspective of generationutilization-distribution,and designs the complex game model algorithm and its solution flow by using multiple swarm intelligence optimization algorithms.Based on this,the behavior strategies of different stakeholders of renewable energy microgrid are discussed.The main research work of this paper is as follows:Firstly,this paper defines the category and operation mode of renewable energy microgrid,and sorts out the interest subjects of renewable energy microgrid,including multi-energy power generation subjects,all kinds of power users,and distribution operators.Then,the paper clarifies the cost composition and interest demands of different subjects.Based on this,it analyzes and depicts the behavior characteristics of generation-utilization-distribution of renewable energy microgrid.Secondly,based on the perspective of multi-energy power generation subject,taking cooperative and non-cooperative game theory as the research paradigm,the paper considers the behavior characteristics and interest demands of multi-energy power generation agents.Then,the paper combines with ARMA and scenario reduction technology to describe the uncertainty of renewable energy generation.Finally,the interest game model of renewable energy microgrid multi-energy power generation is constructed.The firefly algorithm is used to design the solution algorithm and process of the model,and the benefit distribution mechanism of cooperative alliance of power generation agents is given by using improved Shapley value method.Based on this,taking a typical renewable energy microgrid system in North China as an example,the effectiveness of the model and its algorithm is verified,and the behavior strategy of the renewable energy microgrid generator is emphatically discussed.This paper can provide model and algorithm support for the investment decision of renewable energy microgrid power generation entities and the optimal allocation of multi-energy power sources.Thirdly,from the perspective of power users,taking the static and dynamic game theory as the research paradigm,and fully considering the power demand of different types of power users,the interest game model between users and distribution entities of renewable energy microgrid is constructed.The solution algorithm and process of the model are designed by using particle swarm optimization algorithm.The behavior strategies of power users are discussed emphatically.This paper can provide decision-making model and algorithm support for the stable operation of renewable energy microgrid and the formulation of optimal electricity price strategy.Fourthly,from the perspective of distribution operators,Stackelberg game theory is taken as the research paradigm,and the uncertainty of multienergy generators and the demand response characteristics of all kinds of power users are fully considered.A profit game model of renewable energy microgrid is constructed,and the solution algorithm and process of the model are designed by using genetic algorithm.The behavior strategy of distribution operators is emphatically discussed.This paper can provide model and algorithm support for the outsourcing power strategy formulation and internal power output optimization of renewable energy microgrid distribution operators.Lastly,from the multi-agent perspective of generation-use-distribution,taking cooperative and non-cooperative games as research paradigms,and fully considering the interest relationship among various agents,the multi-agent interest game models of renewable energy microgrid are constructed respectively.The equilibrium analysis and algorithm of the multi-agent interest game models of renewable energy microgrid under noncooperative and cooperative modes are given respectively.A typical renewable energy microgrid system is selected,and the behavior strategy of multi-agent game of renewable energy microgrid is further discussed.This paper depicts and sorts out the interest relationship among the generation,utilizaton and distribution of renewable energy microgrid,which can provide a scientific basis for the stable and efficient operation of renewable energy microgrid.According to the above research,the following conclusions are obtained.Firstly,while renewable energy power generation entities need to pay extra reserve service fees gas turbine power generation entities still have competitive advantages and can obtain higher profits.Through cooperation to form the power generation main body alliance,the benefits of power generation main bodies can be significantly improved,but a scientific benefit distribution mechanism is needed to maximize the benefits of each power generation.Secondly,the optimal pricing strategy of renewable energy microgrid distribution operators is not fixed,so it is necessary to comprehensively consider the electricity demand characteristics of various power users and adjust the optimal pricing strategy according to local conditions.The electricity consumption behavior with high sensitivity depends on electricity price strategy.Moderate sensitivity is influenced by both electricity price strategy and power quality.Low sensitivity is basically irrelevant to electricity price.Thirdly,the optimal purchased electricity price of distribution operators is obviously higher than the on-grid electricity price of large power grid,and it is necessary to subsidize the demand response behavior of power users.Finally,renewable microgrid can reduce the price fluctuation through the internal coupling of multi-energy generation,and the cooperation between power generation entities and distribution operators can help reduce the price of renewable microgrid and further improve the level of new energy consumption,but it will reduce the interests of power users to some extent. |
