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Specialized Genetic Algorithm for Transmission Network Expansion Planning Considering Reliability

机译:考虑可靠性的传输网络扩展规划专用遗传算法

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This paper presents a methodology to solve the transmission network expansion planning problem (TNEP) considering reliability and uncertainty in the demand. The proposed methodology provides an optimal expansion plan that allows the power system to operate adequately with an acceptable level of reliability and in an enviroment with uncertainness. The reliability criterion limits the expected value of the reliability index (LOLE - Loss Of Load Expectation) of the expanded system. The reliability is evaluated for the transmission system using an analytical technique based in enumeration. The mathematical model is solved, in a efficient way, using a specialized genetic algorithm of Chu-Beasley modified. Detailed results from an illustrative example are presented and discussed.
机译:本文介绍了解决需求中的可靠性和不确定性的传输网络扩展规划问题(TNEP)的方法。所提出的方法提供了最佳的膨胀计划,允许电力系统充分运行,具有可接受的可靠性水平和具有不确定的环境。可靠性标准限制了扩展系统的可靠性指数的预期值(LOLE - 损失负载期望)。使用基于枚举的分析技术评估传输系统的可靠性。数学模型以有效的方式使用Chu-Beasley的专用遗传算法来解决。提出和讨论了说明性示例的详细结果。

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