Generation coordination for transient stability enhancement using particle swarm optimization

A. Hoballah, I. Erlich
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引用次数: 7

Abstract

This paper presents a security constrained power system dynamic performance enhancement using particle swarm optimization (PSO) based on time domain simulation (TDS). The key feature of the security monitoring is the critical fault clearing time. Time-domain simulation is used to determine the unstable point of the power system based on bisection technique to reduce computation time. The Independent System Operator (ISO) should plan hours-ahead or days-ahead rescheduling to determine the optimal allocation of generated power from each generator based on the expected system disturbances. The objective is to find proper adjustments of the generated power that maintain acceptable security levels throughout the system and minimize system losses. The generation rescheduling (GR) is considered as a necessary remedial action to improve the system transient stability during the disturbances. PSO is used to determine the most suitable generation coordination among system generators.
基于粒子群优化的暂态稳定增强发电协调
提出了一种基于时域仿真的安全约束电力系统动态性能增强算法——粒子群优化算法。关键故障的清除时间是安全监控的关键特征。为了减少计算时间,采用时域仿真的方法,基于二分法确定电力系统的不稳定点。独立系统操作员(ISO)应提前数小时或数天计划重新调度,以确定基于预期系统干扰的每台发电机发电的最佳分配。目标是找到发电功率的适当调整,使整个系统保持可接受的安全水平,并使系统损失最小化。发电重调度(GR)被认为是提高系统在扰动时暂态稳定性的必要补救措施。粒子群算法用于确定系统各发电机组之间最合适的发电协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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