基于萤火虫优化算法的微网源—荷博弈模型及分析

发布时间：2018-03-25 13:33

本文选题：微网(微电网)　切入点：容量配置　出处：《电力系统自动化》2014年21期

【摘要】：以实现微网负荷间利益最大化和微源容量配置经济高效为策略,提出基于萤火虫优化算法的微网源—荷博弈方法。首先,在充分考虑微源成本、微源容量、负荷成本、负荷用电量之间相互关系的基础上,建立了具有博弈关系的微源和负荷博弈模型,以及非合作和合作博弈下的目标函数。然后,设计了萤火虫优化算法在博弈迭代中的应用流程,利用吸引度和亮度参数对各博弈者的策略进行更新,实现了目标函数的最优。最后,提出利用收益微调系数和稳定指标进行搜索的改进Shapley值法,对合作后的收益进行重新分配,保证了合作全联盟的稳定性。通过对微源博弈者和负荷博弈者的收益分析,验证了所提博弈模型在负荷优化中的可行性,及萤火虫优化算法在求解博弈均衡解时的有效性。
[Abstract]:In order to realize the maximization of micro-grid load and the economical and efficient configuration of micro-source capacity, a micro-grid source-charge game method based on firefly optimization algorithm is proposed. Firstly, the micro-source cost, micro-source capacity and load cost are fully considered. On the basis of the relationship between load consumption and electricity consumption, the game model of micro-source and load with game relation, and the objective function under non-cooperative and cooperative game are established. The application flow of firefly optimization algorithm in game iteration is designed. The strategy of game players is updated by using the parameters of attraction and brightness, and the objective function is optimized. In this paper, an improved Shapley value method based on fine tuning coefficient and stability index is proposed to redistribute the income after cooperation to ensure the stability of the whole cooperative alliance. The feasibility of the proposed game model in load optimization and the effectiveness of the firefly optimization algorithm in solving the equilibrium solution of the game are verified.
【作者单位】：浙江工业大学信息工程学院;山东国研电力技术有限公司;中国电信股份有限公司浙江分公司;
【基金】：国家自然科学基金资助项目(51147010,51107120)~~
【分类号】：TM711

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