基于改进灰狼算法的社区微网能量-备用联合调度模型

Energy-Reserve Joint Scheduling Model of Community Microgrid Based on Improved Gray Wolf Algorithm

随着分布式能源接入电网比例的不断提高,未来社区微网中将涌现大量源-荷双重属性的产消者。为充分挖掘社区微网内部各产消者之间的电能互补潜力,首先引入合作博弈机制,构建考虑多产消者参与下的社区微网能量-备用联合调度模型;其次,采用以纳什谈判为主,结合风险偏好理论以及夏普利值的分配方法,对联盟的合作剩余进行公平分配;最后,采用基于Tent映射的混合灰狼算法实现所构模型的高效求解。算例结果表明:社区微网同时参与能量-备用联合调度能够显著提高其收益水平,所提分配方法能够实现各产消者合作剩余的公平分配,保证联盟的长久稳定。

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.