Optimal Scheduling of Microgrids Based on the Trading Mechanism of the Reputation Point System Method

Microgrid is the main form of distributed renewable energy access to distribution network, and it is an important direction for the development of new distribution network, while the improper competition and cooperation behavior among microgrids will hinder its further development. In order to prevent the improper behavior of inter-microgrid transactions, we propose an alliance transaction mechanism based on the microgrid reputation point system, and introduce green transaction points in the microgrid reputation point system. An optimal scheduling model based on the master-slave game of "Alliance-Microgrid Operator-Shared Energy Storage Operator" is constructed. In the scheduling process, the demand and supply of energy are not always equal, and the alliance will give priority to meet the energy demand of the higher ranked microgrid according to the ranking of credit points, and the microgrid whose demand is not met will purchase energy from the distribution network. Using Yalmip + CPLEX programming in MATLAB 2019b, the algorithm is solved by genetic algorithm, and the simulation results show that the proposed method effectively protects the interests of all parties, optimizes the shared energy storage charging and discharging power, reduces the charging and discharging times from 34 to 19, reduces the carbon emission cost of each microgrid, and increases the daily revenue of each microgrid by about 0.71%, 0.67%, and 2.5% respectively.