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Constrained Reactive Power Control (CRPC) Based Multi-Objective Optimization under Multi-Contingencies (N-m)

机译:多约束(N-m)下基于约束无功功率控制(CRPC)的多目标优化

摘要

Optimal Reactive Power Dispatch (ORPD) is needed for reduces the power system losses and improves voltage profile, power system security and overall power system operation. In this paper, the ORPD problem solved using Constrained Reactive Power Control (CRPC) based Multi-Objective Evolutionary Programming (MOEP) optimization technique considering multi-contingencies (N-m). The proposed technique determines the optimum reactive power to be dispatched by the generators in order to improve voltage stability condition of a system. A computer program was written in MATLAB and the proposed technique was tested on the IEEE 30-bus RTS. Hence, the result was compared with Multi-Objective Artificial Immune System (MOAIS) to highlight it merits.
机译:需要最佳无功功率分配(ORPD),以减少电力系统的损耗并改善电压曲线,电力系统的安全性和整个电力系统的运行。在本文中,使用基于约束无功控制(CRPC)的多目标进化规划(MOEP)优化技术解决了ORPD问题,同时考虑了多突发性(N-m)。所提出的技术确定了由发电机分配的最佳无功功率,以改善系统的电压稳定性条件。用MATLAB编写了一个计算机程序,并在IEEE 30总线RTS上测试了所提出的技术。因此,将结果与多目标人工免疫系统(MOAIS)进行比较以突出其优点。

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