系统仿真学报 ›› 2018, Vol. 30 ›› Issue (10): 3826-3834.doi: 10.16182/j.issn1004731x.joss.201810028

• 仿真应用工程 • 上一篇    下一篇

含多种分布式电源的配电网多目标优化

潘欢1,2,3, 徐陈1, 杨丽1   

  1. 1. 宁夏大学物理与电子电气工程学院,宁夏 银川 750021;
    2. 宁夏沙漠信息智能感知重点实验室,宁夏 银川 750021;
    3. 宁夏电力能源安全重点实验室,宁夏 银川 750004
  • 收稿日期:2016-09-08 修回日期:2016-11-26 出版日期:2018-10-10 发布日期:2019-01-04
  • 作者简介:潘欢(1983-),男,甘肃,博士,副教授,研究方向为电力系统分析;徐陈(1993-),女,湖北,硕士,研究方向为电力系统优化;杨丽(1993-),女,天津,硕士生,研究方向为电力系统规划。
  • 基金资助:
    国家自然科学基金(61403219, 61463043)

Multiple Objective Planning of Distribution Network with Multiple Distributed Generations

Pan Huan1,2,3, Xu Chen1, Yang Li1   

  1. 1. School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China;
    2. Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Yinchuan 750021, China;
    3. Ningxia Key Laboratory of Electrical Energy Security, Yinchuan 750004, China
  • Received:2016-09-08 Revised:2016-11-26 Online:2018-10-10 Published:2019-01-04

摘要: 配电网中接入分布式发电装置(Distributed Generation,DG)的种类、位置和容量会严重影响电网的运行,如不合理规划,对电网的正常运行会产生负面影响。当配电网接入新DG时,研究如何进行合理的选址与定容,以配电网购电费用、DG运维费用和DG补贴费用之和最小为经济性目标,以节点电压稳定性指标为稳定性目标,采用归一化权重方法处理多目标优化问题;以某地实际配电系统为例,对节点进行评估,确定DG的候选安装节点,建立相应的数学优化模型;采用不同的智能算法求解DG的规划问题,通过Matlab仿真计算,分析不同算法得到的DG规划方案

关键词: 分布式发电, 配电网规划, 多目标优化, 粒子人工鱼群算法

Abstract: The types of distribution network with Distributed generations (DG), the location and capacity will impact on power grid operation and strict, such as unreasonable planning, the normal operation of the power grid have negative effects. Based on this, the main purpose of this paper is to study when the new DG of distribution network access how to reasonable siting and sizing, specific arrangements are. To a real distribution system with a region as an example, the node were evaluated to determine candidate DG installation node, corresponding mathematical optimization model is established, in distribution power purchasing cost, DG operation and maintenance costs and DG allowance for the cost and the minimum as economic goals, with the node voltage stability index for stability goals by normalized weighting method to solve multi-objective optimization problem; Different intelligent algorithms are used to solve the DG programming problem. By Matlab simulation, the DG planning scheme is analyzed.

Key words: distributed generation, distribution network planning, multi-objective optimization, particle artificial fish swarm algorithm

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