文献标志码：A

面向用户需求的DG与配网网架多目标联合规划

芦新波，张建华，曾博

(华北电力大学输配电系统研究所，北京102206)

Multi-objective Joint Planning of User Demand-oriented DG and Distribution Network FrameworkLU Xinbo, ZHANG Jianhua, ZENG Bo

(Electric Power Transmission and Distribution System Institute, North China Electric Power University,

Beijing 102206, China)

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。

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

文章编号：1007-2322(2015)05-0035-07

中图分类号：TM715

基金项目：国家自然科学基金(51277067)

收稿日期：2014-09-12

作者简介：

Abstract：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 demand is classified. According to the probability model of renewable 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 objective function, the multi-objective joint planning model for DG and network frame is built. Based on pareto optimization 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 verified by numerical calculation example.

Keywords：DG sitting and sizing; expansion planning of distribution network framework;user demand;joint planning; multi-objective optimization

0引言

在能源危机、环境污染和电能需求持续增长的背景下，可再生能源分布式发电(distributed generation，DG)以其节能环保等优点备受青睐[1-3]。但是风电(wind generation，WG)、光伏(photovoltaic，PV)等可再生能源DG出力具有随机性，其高渗透率并网，增加了配网不确定性，网损、电能质量等[4-5]。此外，一方面，经济与科技的发展使得用户对供电质量的需求增加；另一方面，现代智能配网希望能够对电力用户(包括负荷、DG等)实现精细化地主动管理[6-7]。因此，有必要研究新的科学方法对DG与配网网架进行联合协调规划，充分发挥DG积极作用，提升配网供电质量。……