基于改进灰狼算法的微网多主体主从博弈策略
Multi-agent Master-slave Game Strategy of Microgrid Based on Improved Grey Wolf Algorithm
陈晓梅 1周博 1蔡烨1
作者信息
- 1. 华北电力大学电气与电子工程学院,北京 102206
- 折叠
摘要
为平衡包含电、热两种能源形式的微网系统内各参与者间的利益关系,通过改进灰狼算法提出了一种微网能量管理模型.首先,在充分分析微网结构及其各主体功能的基础上,为综合考虑源-网-荷的决策能力,将主从博弈方法应用于产能商、微网运营商、负荷聚合商之间的互动,建立一主多从的微网能量管理数学模型;其次,针对博弈上层模型高维、非线性的特点,在传统灰狼算法基础上,利用Tent映射对种群进行初始化、采用非线性收敛因子平衡种群搜索能力、利用莱维飞行策略降低陷入局部最优的风险.在模型求解时,博弈上层采用改进灰狼算法,下层采用二次规划方法,二者结合以探讨使各主体利益最大的策略;最后,通过算例进行验证,结果表明:本文算法更加高效,所提模型在提高参与者收益,平滑用户负荷分布方面更加优越.
Abstract
In order to balance the interests of various participants in a microgrid system containing two forms of energy,electricity and heat,a microgrid energy management model based on the improved grey wolf algorithm was proposed.Firstly,the microgrid struc-ture and the functions of various entities within the microgrid were analyzed.In order to comprehensively consider the decision-making ability of source-grid-load,the master-slave game method was applied to the interaction among energy producer,microgrid operators,and load aggregators.Secondly,to address the characteristics of high dimensionality and nonlinearity in the upper-layer model,tent mapping was used to initialize the population,a nonlinear convergence factor is employed to balance the population search capability and the Levy flight strategy was utilized to reduce the risk of falling into local optimum.In the process of model solving,the improved gray wolf algorithm was used for the upper-level,and quadratic programming methods were used for the lower-level.The combination was explored to discover the best strategy that maximize the interests of each entity.Finally,the efficiency of the algorithm and the su-periority of the proposed model in improving the participants'revenue and smoothing the load distribution are verified by an arithmetic example.
关键词
主从博弈/微网/改进灰狼算法/优化运行Key words
master-slave game/microgrid/improved grey wolf algorithm/optimize operation引用本文复制引用
基金项目
国家电网有限公司总部管理科技项目(5400-202199541A-0-5-ZN)
出版年
2024
NETL
NSTL
万方数据