基于全局优化和多主体博弈的微网日前电热联合经济调度

Research on Day-ahead Power and Heat Combined Dispatch of Microgrid Based on Global Optimization and Multi-agent Game

针对含可再生能源的微网日前电热联合调度问题,开展了考虑全局利益统一与多主体利益均衡的优化结果对比分析。首先,基于多能源微网中各类能量产生/转化设备的效能模型,结合系统中储能装置寿命损耗、可再生能源丢弃、电动汽车调度成本等方面的分析,建立了各类设备的运行成本模型;其次,构建了以微网运行成本最佳为目标的微网单一主体日前经济调度数学模型,并提出了基于粒子维度熵的改进混沌粒子群算法;再次,构建了考虑可再生能源所有者、微网能源服务商、用户等多主体利益均衡的日前经济调度数学模型,提出了基于Nash均衡博弈的求解方法;最后,针对全局利益统一与多主体利益均衡2种模式在典型实例中的经济调度结果,开展了深入的对比分析,验证了所提模型与方法的有效性与实用性。

Aiming at day-ahead power and heat combined dispatch problem of microgrid containing renew able energy,a comparative analysis on optimization results of global optimization and multi-agent game is carried out. Initially,on the basis of efficiency model of energy generation and conversion equipment in multi-energy microgrid,considering life loss of energy storage,renew able energy curtailment,dispatch cost of electric vehicles,etc.,operating cost models of various equipment are established. Furthermore,mathematical model of day-ahead economic dispatch aiming at microgrid has the best operating cost is established,and an advanced chaotic particle sw arm optimization algorithm based on particle dimension entropy is established. Additionally,mathematical day-ahead economic dispatch model of multi-agent interest balance is established,which contains renew able energy ow ner,microgrid energy service provider and user. And a solve method based on Nash equilibrium game is proposed. Finally,in-depth comparative analysis is carried out according to the economic dispatch results of global optimization and multi-agent game,and the validity and practicability of the model are illustrated.