PDF(1558 KB)
Energy-Reserve Joint Scheduling Model of Community Microgrid Based on Improved Gray Wolf Algorithm
ZHANG Yan,WANG Shuang,SONG Chuang
Distributed Energy ›› 2023, Vol. 8 ›› Issue (1) : 19-29.
PDF(1558 KB)
PDF(1558 KB)
Energy-Reserve Joint Scheduling Model of Community Microgrid Based on Improved Gray Wolf Algorithm
With the increasing proportion of distributed energy connected to the power grid, a large number of prosumers with source load dual attributes will emerge in the community microgrid in the future. In order to fully tap the power complementary potential between prosumers in community microgrid, firstly, the cooperative game mechanism is introduced, and a energy-reserve joint scheduling model for community microgrid is constructed with the participation of multiple prosumers; secondly, the cooperation surplus of the alliance is fairly distributed by using Nash negotiation, combining with risk preference theory and a Sharpey value distribution; finally, the hybrid Gray Wolf algorithm based on Tent mapping is used to solve the constructed model efficiently. The example results show that the community microgrid participating in the joint bidding of energy-reserve joint scheduling at the same time can significantly improve its income level, and the proposed distribution method can realize the fair distribution of the cooperative surplus of all prosumers and ensure the long-term stability of the alliance.
cooperative game / community microgrid system / energy market / ancillary services market / Nash negotiation
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