引用本文: | 李辰雷,卫志农,韩连山.序优化理论在配电网重构中的应用[J].电力系统保护与控制,2015,43(8):41-48.[点击复制] |
LI Chenlei,WEI Zhinong,HAN Lianshan.Application of ordinal optimization in distribution network reconstruction[J].Power System Protection and Control,2015,43(8):41-48[点击复制] |
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摘要: |
配电网重构是非线性组合优化问题,针对大规模配电网解空间过于庞大的特点,提出基于序优化理论的配电网重构算法。该算法从配电网运行和开关调整方式入手,借助开关支路交换法简化网络结构,得到解环生成原始可行解空间的方法。运用序优化理论制定一种按照评估值优先准则,进行解集的选择和排序,改进的粗糙函数不仅能够进行序曲线的确定,而且能去除大量的无效解,提高重构速度。通过实际24节点和美国PG&E69节点系统的算例测试,验证了方法的有效性。 |
关键词: 序优化 配电网重构 粗糙函数 支路交换法 网损 |
DOI:10.7667/j.issn.1674-3415.2015.08.007 |
投稿时间:2014-06-29修订日期:2014-08-24 |
基金项目:国家自然科学基金项目(51277052) |
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Application of ordinal optimization in distribution network reconstruction |
LI Chenlei,WEI Zhinong,HAN Lianshan |
(Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University,
Nanjing 210098, China; State Grid Lianyungang Power Supply Company, Lianyungang 222000, China) |
Abstract: |
Reconstruction of distribution network is a nonlinear combinatorial optimization problem. Aiming at the feature that the solution space of the large-scale distribution network is too large, this paper proposes an algorithm for distribution network reconstruction based on ordinal optimization theory. In accordance with the operations of distribution network and switching mode, the proposed algorithm can simplify the network structure by exchanging switch-branches to obtain the ring opening, which generates the original feasible solution domain. Next, a selection criterion in line with priorities of the assessing values is defined by using the ordinal optimization theory to select and sort the solution set. In this way, the improved rough function not only can determine the ordinal curve, but also is able to remove a large amount of invalid solutions and improve the speed of reconstruction. Finally, the effectiveness of the proposed algorithm is verified by testing the 24 bus system as well as the U.S. PG & E 69 node system. |
Key words: ordinal optimization distribution network reconfiguration rough function branch exchange algorithm network loss |