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Optimal network reconfiguration for congestion management by deterministic and genetic algorithms

机译：确定性和遗传算法的网络优化配置，用于拥塞管理

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摘要

In this paper, the problem of finding the optimal topological configuration of a power transmission system is considered with the aim of providing system operators with a tool suited for congestion management. Network reconfiguration looks particularly appealing since it allows transmission system operators to alleviate overloads by means of switching operations that may avoid costly generation or load curtailments. The techniques of corrective switching proposed in the 1980s are profitably employed to formulate the problem of network reconfiguration for the purpose of congestion management. The solution of the resulting large-scale mixed-integer programming problem is carried out both by a deterministic branch-and-bound algorithm included in the CPLEX optimization package and by a genetic algorithm. Tests were performed on a 33-bus CIGRE test system and on an actual 432-bus network of Italian origin.
机译：在本文中，考虑了寻找电力传输系统的最佳拓扑配置的问题，目的是为系统运营商提供适合于拥塞管理的工具。网络重新配置看起来特别吸引人，因为它允许传输系统运营商通过切换操作来减轻过载，这可以避免昂贵的发电或减少负载。出于拥塞管理的目的，在1980年代提出的纠正性交换技术被有益地用于制定网络重新配置问题。通过CPLEX优化软件包中包括的确定性分支定界算法和遗传算法，可以解决由此产生的大规模混合整数编程问题。测试是在33总线CIGRE测试系统上以及在意大利起源的实际432总线网络上进行的。

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