Research On Optimal Operation Strategy Of Microgrid Participating In Power Market Clearing

The integrated energy microgrid operation optimization strategy adopts advanced technology and management methods,which can realize the organic synergy between different energy sources,improve the efficiency of energy application,and promote the sustainable utilization of energy.After the microgrid participates in the clearing of the electricity market,all entities can fully compete and cooperate to achieve the optimal operation with the goal of maximizing the profits of all parties.It is foreseeable that in the future,the integrated energy microgrid,as an emerging market entity,will become the norm to participate in the competition in the electricity market.This paper firstly analyzes the operation principle of core equipment such as gas turbines,gas boilers,fans,and photovoltaic generators,as well as the charging and discharging mechanism of energy storage equipment,and builds corresponding mathematical models.The basic theoretical issues such as the structure type,transaction system,and demand-side response of the power market operation are studied,and the structure of the microgrid participating in the power market is constructed based on the theoretical research.It includes organizational structure and spot trading market,and proposes a microgrid electricity market trading model based on multi-agent system structure.Based on this,this paper designs the optimal operation strategies for the day-ahead clearing of the electricity market under two scenarios of single and multiple microgrids,as follows:Aiming at the optimal operation strategy of a single microgrid,this paper proposes a multi-layer iterative optimization mechanism to participate in the market clearing day ahead.The main contents include:(1)Constructing the social residual profit model on the middle market side,and constructing the respective benefit models of the energy supply and demand sides in the upper and lower layers.(2)Based on Stackelberg’s master-slave game theory,build a master-slave game pattern with the power market as the leader and the integrated energy suppliers and users as the followers.(3)In the process of solving,the middle layer receives and distributes the upper and lower iterative data,and serves as the judgment node for the end of the iteration;the upper and lower layers are iterated through the middle layer until the game equilibrium is reached;the upper layer uses Matlab/CPLEX solver to solve,and the lower layer uses Improved sparrow algorithm OS-SSA solution.According to the above model and solution algorithm,combined with different simulation scenarios,the calculation example can be obtained:(1)Comprehensive energy suppliers actively participate in electricity market transactions through bidding,which effectively improves their own profits.(2)Users obtain compensatory benefits by responding to price-based demand,which reduces their own energy costs.(3)As a pricing bridge between comprehensive energy suppliers and users,the electricity market can find the optimal social residual profit point and realize the greatest economic and social value.(4)The improved sparrow algorithm OS-SSA has good application performance.The optimal operation strategy of multiple microgrids,based on the research of a single microgrid,proposes a two-stage optimization mechanism to participate in the market clearing day ahead.The main contents include:(1)Each microgrid integrated energy supplier can conduct transactions with other microgrid users to determine the transmission of electric power between the microgrids.(2)A non-cooperative game pattern is formed among different integrated energy suppliers of microgrid,and a game model is established in which all participants take economic operation as the main strategy set,and a Nash equilibrium is reached among multiple integrated energy suppliers.Combined with different simulation scenarios,the calculation example can be obtained: the participation of multiple microgrids in the two-stage clearing of the power market significantly increases the economy of the optimization of the operation of each microgrid.