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Small Signal Stability Constrained Optimal Power Flow Using Swarm Based Algorithm

机译:使用基于群的算法,小信号稳定性受到最佳功率流量

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This paper presents a simple and efficient Particle Swam Optimization (PSO) based algorithm for solving Small Signal Stability Constrained Optimal Power Flow (SSSCOPF) problem. The proposed methodology is based on an Optimal Power Flow (OPF) problem that explicitly considers small signal stability security limits, hence appropriately termed as SSSCOPF. The SSSCOPF problem is solved using PSO based algorithm. The Eigen value analysis is performed to assess the system stability for the normal operating condition and subsequently for stressed operating condition by considering single line outage. The proposed PSO based algorithm for solving OPF and SSSCOPF problems is tested on an adapted IEEE 30-bus system. The optimal solutions obtained for the OPF problem with and without small signal stability security constraints are compared and analyzed. The comparative analysis reveals that the proposed PSO based algorithm converges to the optimal solution without any constraint violations.
机译:本文介绍了一种简单富有高效的粒子SAM SOP优化(PSO)基于求解小信号稳定性的算法,受限最佳功率流(SSSCOPF)问题。所提出的方法基于最佳的功率流(OPF)问题,该问题明确地考虑了小的信号稳定性安全限制,因此被适当地称为SSSCOPF。使用PSO的算法解决了SSSCOPF问题。执行特征值分析以通过考虑单线中断来评估正常操作条件的系统稳定性,并随后进行压力的操作条件。在适应的IEEE 30-Bus系统上测试了用于解决OPF和SSSCOPF问题的所提出的PSO算法。比较和分析对OPF问题获得的OPF问题获得的最佳解决方案。比较分析表明,所提出的基于PSO的算法会聚到最佳解决方案而没有任何约束违规。

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