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考虑环境因素的分布式发电多目标优化配置
引用本文:郑漳华,艾芊,顾承红,蒋传文.考虑环境因素的分布式发电多目标优化配置[J].中国电机工程学报,2009,29(13):23-28.
作者姓名:郑漳华  艾芊  顾承红  蒋传文
作者单位:上海交通大学电子信息与电气工程学院
基金项目:国家863高技术基金项目(2007AA05Z458);上海市自然科学基金(08ZR1409700)。
摘    要:分布式发电优化布置与定容问题是智能电网发展中所面对的一个重要课题。该文在节点有功、无功网损微增率基础上,通过负荷功率法将两者结合,提出等效网损微增率的概念。通过计算该微增率并对其进行排序,可确定分布式发电(distributed generation,DG)的最优安装位置,并且最小化输电线路网损。对于DG定容问题,该文同时考虑了有功网损、电压改善程度和环境改善程度这3个重要指标,将DG优化容量确定问题转化为一个多目标非线性规划问题。采用目标逼近和二次序列规划方法对提出的算法进行求解。算例结果表明,采用该方法确定DG在系统中的布置位置和容量可有效提高系统运行电压,降低有功网损,减少电厂排放的污染气体。该方法对DG在规划阶段的选址和定容问题有着一定的实用价值。

关 键 词:分布式发电  多目标规划  环境因素  优化布置  智能电网
收稿时间:2008-07-29
修稿时间:2008-09-16

Multi-objective Allocation of Distributed Generation Considering Environmental Factor
ZHENG Zhang-hua,AI Qian,GU Cheng-hong,JIANG Chuan-wen.Multi-objective Allocation of Distributed Generation Considering Environmental Factor[J].Proceedings of the CSEE,2009,29(13):23-28.
Authors:ZHENG Zhang-hua  AI Qian  GU Cheng-hong  JIANG Chuan-wen
Affiliation:School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University
Abstract:Suitable location and optimal sizing are very important subjects in the power system,especially smart grids. A new technique for determining optimal location and sizing of distributed generator was presented. Equivalent loss factor was proposed based on active and reactive power loss incremental factors. Through calculating these factors and comparing them, we could choose the node of maximal factor as the optimal location. Additionally, three indexes were introduced to evaluate distributed generation (DG) profits, namely voltage bettered index, power loss bettered index and environment bettered index. The DG sizing problem was turned into a multi-objective program to maximize DG benefits under certain constraints. Objective-approach and Sequential Quadric Programming methods were used to solve this formulation. The proposed technique was tested on IEEE 30-bus distribution system. The results illustrate the correctness and availability of the proposed algorithm.
Keywords:distributed generation  multi-objective program  environmental factor  optimal sizing  smart grids
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