| 配电网多目标经济性优化模型和算法 |
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| 引用本文： | 张 宁,马孝义,李 可,陈帝伊,陈春玲,吴仕宏.配电网多目标经济性优化模型和算法[J].中国农村水利水电,2012,0(2):116-120. |
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| 作者姓名： | 张 宁 马孝义 李 可 陈帝伊 陈春玲 吴仕宏 |
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| 作者单位： | 1.西北农林科技大学水利与建筑工程学院电气工程系，陕西 杨凌 712100；
2.沈阳农业大学信息与电气工程学院，沈阳 110161 |
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| 基金项目： | 国家自然科学基金项目(基于空间信息格网和BP神经网络的洪灾损失评估模型研究);西北农业科技大学拔尖人才专项基金资助项目;西安市科技计划项目创新支撑计划 |
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| 摘 要： | 针对城镇配电网中按电压等级选择同一截面导线的不合理性，基本算法的罚函数处理约束稳定性不强和寻优运算差等问题，利用经济电流密度概念、多目标规划理论和遗传算法，研究实数编码并行优化、动态罚函数约束、配电网路径与潮流自识别解码等方法，提出了配电网络多目标经济性优化模型及其算法。通过10kV配电网实例验证表明，该方法提高解的搜索精度，实现规划线路长度和导线截面策略因子并行优化，得到最小投资费用的优化方案。
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| 关 键 词： | 配电网 多目标规划 遗传算法 经济性 |
| 收稿时间： | 2011-09-01 |
| 修稿时间： | 2011-10-13 |
Optimal Multi-objective Model and Methodology of Net Power Distribution |
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| ZHANG Ning,MA Xiao-yi,LI Ke,CHEN Di-yi,CHEN Chun-ling,WU Shi-hong.Optimal Multi-objective Model and Methodology of Net Power Distribution[J].China Rural Water and Hydropower,2012,0(2):116-120. |
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| Authors: | ZHANG Ning MA Xiao-yi LI Ke CHEN Di-yi CHEN Chun-ling WU Shi-hong |
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| Institution: | 1.The Electrical Engineering Department,College of Water Resources and Architectural Engineering, Northwest Agricultural and Forestry University,Yangling 712100,Shaanxi Province,China; 2.Infomation and Electric Power Engineerring College,Shenyang Agricultural University,Shenyang 110161,China) |
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| Abstract: | In the traditional design of electricity distribution network of towns,it was unreasonable to choose the same cross-section wires according to the voltage level,which was not strong in the stability to dispose penalty function of restrictions.Hence,the mathematical model and algorithm of multiple objective economic optimization in power distribution network were put forward by taking the concept in economic current density and theories in multiple objective planning and genetic algorithm,and the real-number-coding for parallel optimization,dynamic penalty function of restrictions,self-recognition decoding method for the path and flow of power grid in terms of algorithm were studied.When the method is used for 10 kV electricity distribution network,the results show that the proposed model and algorithm can improve the searching precision of solution,and realize the parallel optimization in power lines and the strategy factor of wire section.In the meantime,the minimum investment cost of optimization scheme is gained. |
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| Keywords: | power distribution network multiple objective planning genetic algorithm |
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