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机构地区:[1]华北电力大学输配电系统研究所,北京102206
出 处:《现代电力》2015年第5期35-41,共7页Modern Electric Power
基 金:国家自然科学基金(51277067)
摘 要:考虑电力用户的多样化供电需求和可再生能源DG出力随机性,提出了面向用户需求的DG与配网网架多目标联合规划方法。根据用户对供电电压质量和可靠性等多样化的需求,对负荷需求整理分类;根据可再生能源DG出力的概率模型和机会约束规划方法,处理不确定性问题;以年社会成本、电压偏移率和用户停电缺失量综合最优为目标函数,建立了DG与配网网架多目标联合规划模型。基于pareto优化理论,采用多目标混合粒子群算法和熵权修正的AHP-TOPSIS多属性决策策略相结合的方法,求解模型。最后,利用算例验证所建模型的合理性和有效性。By considering the diverse power supply demand of electricity user and the stochastic characteristics of the DG power output, a multi-objective joint planning method for user demand-oriented DG and distribution network framework is presented. To meet the diverse demand for voltage quality and reliability of power supply, the load de- mand is classified. According to the probability model of re- newable energy DG power output and chance-constrained programming method, the uncertainty problem is solved. With the comprehensive optimization of annual society cost, voltage deviation degree and power user outage loss as objec- tive function, the multi-objective joint planning model for DG and network frame is built. Based on pareto optimiza- tion theory, the model is solved by using TOPSIS multiple- attribute decision-making strategy that combines the multi- objective hybrid particle swarm optimization algorithm with the AHP and entropy weight modified method. In the end, the rationality and validity of the proposed model is verifiedby numerical calculation example.
关 键 词:DG选址定容 配网网架扩展规划 用户需求 联合规划 多目标优化
分 类 号:TM715[电气工程—电力系统及自动化]
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