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首页> 外文期刊>American journal of applied sciences >A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems | Science Publications
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A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems | Science Publications

机译:多目标HPSO算法在非稳压电力系统中UPFC的最优定位科学出版物

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> This paper presents the application of hybrid particle swarm optimization technique to find optimal location of unified power flow controller to achieve optimal power flow. Objective function in the OPF, that is to be minimized, are the overall cost functions, which include the total active and reactive production cost function of the generators and installation cost of UPFCs. The OPF constraints are generators, transmission lines and UPFCs limits. We propose HPSO algorithm to consider the objective function and all equality and inequality constraints. Simulations are performed on 4 bus test system and modified IEEE 14 bus system for optimal location of UPFC and the results obtained are encouraging and will be useful in electrical restructuring.
机译: >本文介绍了混合粒子群优化技术在寻找统一潮流控制器的最优位置以实现最优潮流方面的应用。 OPF中的目标功能是要被最小化的是总成本函数,其中包括发电机的总有功和无功生产成本函数以及UPFC的安装成本。 OPF约束是发电机,传输线和UPFC限制。我们提出HPSO算法来考虑目标函数以及所有等式和不等式约束。仿真在4总线测试系统和改进的IEEE 14总线系统上进行,以实现UPFC的最佳位置,所获得的结果令人鼓舞,并将在电气重组中有用。

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