| 配网负荷转供最优方案确定新方法 |
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| 引用本文： | 孙大雁,林济铿,袁龙,王刚,王文杰,秦岭,郭兴.配网负荷转供最优方案确定新方法[J].电力技术,2013(11):57-61. |
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| 作者姓名： | 孙大雁 林济铿 袁龙 王刚 王文杰 秦岭 郭兴 |
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| 作者单位： | [1]江苏省电力公司,江苏南京210002 [2]同济大学电子信息与工程学院电力系,上海201804 [3]天津大学智能电网教育部重点实验室,天津300072 [4]辽宁省电力有限公司电力科学研究院,辽宁沈阳110006 [5]天津市电力公司滨海供电公司,天津300450 |
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| 摘 要： | 针对基于随机类算法确定负荷转供方案往往计算速度慢的缺点,提出了基于具有不可行解修复能力的自适应免疫算法结合基本树拓扑快速判断的负荷转供最优方案确定新方法.该方法全面计及了负荷转供的各个因素,具有模型完整的特点.因该方法具有不可行解修复能力,比其他方法计算速度更快.在优化的过程中,为了增加计算速度,进一步采用了基于基本树的拓扑放射性快速辨识策略,使得当前解无需进行相应的遍历而能快速判断当前解是否满足放射性.多个算例验证了该方法的有效性.
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| 关 键 词： | 自适应免疫算法 不可行解修复能力 负荷转供 基本树 拓扑放射性快速辨识 |
A New Method for Determining Optimal Load Transfer Scheme in Distribution Network |
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| Authors: | SUN Da-yan LIN Ji-keng YUAN Long WANG Gang WANG Wen-jie QIN Ling GUO Xing |
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| Affiliation: | 5 ( 1. Jiangsu Electric Power Company, Nanjing 210002, China; 2. Department of Electrie Power of Electronic lnfirmation and Engineering School, Tongji U niversily, Shanghai 201804, China; 3. Key Laboratory of Smart Grid of Ministry of Educ, ation, Tianjin University, Tianjin 300072, China： 4. Eleetrical Power Research Institute of Electrical Company of Liaoning Province, Shenyang 110006, China; 5. Binhai Utility of Electrical Company of Tianjin, Tianjin 300384, China ) |
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| Abstract: | In view of the slow calculation process of stochastic algorithm in determining the optimal load transfer scheme,a new method is proposed to solve the problem based on the adaptive immune algorithm with infeasible solution recovery in combination with the basic-tree topology fast judging method.With consideration of all the factors of load transfer,this method is characterized by a complete mathematical model.Due to its infeasible solution recovery technology,it has an advantage over stochastic optimization methods in calculation time.Furthermore,to increase the calculation speed,the basic-tree based topology radial fast identification strategy is used to judge the topological radial constraint limits in distribution system for each new solution during the iteration process,as a result,the calculation time for the evolution optimization process is further reduced.Several case studies have proved the effectiveness and validity of this method. |
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| Keywords: | adaptive immune algorithm infeasible solution recovery load transfer basic-tree fast determination of the radial topology property |
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