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Multiobjective Fuzzy Optimal Transaction Planning considering TCSC Control and Load Voltage Characteristic

机译:考虑TCSC控制和负荷电压特性的多目标模糊最优交易计划

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摘要

This paper presents a multi-objective optimal transaction planning for electric power market considering the Thyristor Controlled Series Capacitor (TCSC) and load static voltage characteristic. The proposed model is formulated as multi-objective optimal power flow (MOPF) problem with competing pool purchase cost, pollution emission and active power losses impact objectives. The minimize of the pool purchase cost, pollution emission and active power losses are solved individually in order to define the membership function of objective, then, the multi-objective problem is reformulated into a new standard nonlinear problem by the fuzzy sets theory and max-min operator, finally, it is solved by interior point method and the results that match with multiobjective problem is gained. The effect of TCSC on the optimal dispatch is also investigated in this paper. The test results show that the proposed model more match with the power system operation and can ensure the multi-factor impartiality of Generation Company. The test results also show that incorporation of TCSC can not only utilize the existing lines, but also change the results of optimal dispatch of power system.
机译:本文提出了一种基于晶闸管控制串联电容器(TCSC)和负载静态电压特性的电力市场多目标最优交易计划。所提出的模型被公式化为具有竞争性购电成本,污染排放和有功功率损失影响目标的多目标最优潮流(MOPF)问题。为了定义目标的隶属函数,分别解决池购买成本,污染排放和有功功率损失的最小值,以定义目标的隶属函数,然后,通过模糊集理论和极大值法将多目标问题重新表述为一个新的标准非线性问题。最小算子,最后用内点法求解,得到与多目标问题相匹配的结果。本文还研究了TCSC对最优调度的影响。测试结果表明,该模型与电力系统运行更加匹配,可以确保发电公司的多因素公正性。测试结果还表明,TCSC的引入不仅可以利用现有线路,而且可以改变电力系统的最佳调度结果。

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