统一潮流控制器优化位置,提高系统安全性

J. S. Amirtham, V. Uma
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引用次数: 8

摘要

本文基于电网实际功率性能指标(严重性指标)对统一潮流控制器进行了优化定位。采用双电压源(功率注入)模型来修正UPFC在有功功率、无功功率和电压分布调节中的行为。将该模型集成到Newton Raphson算法中,用于潮流研究。分析了使用FACTS装置和不使用FACTS装置时的偶然性和非偶然性情况。最优潮流(OPF)是电力系统中需要考虑的最重要问题。最优潮流的目标是找到发电机组的最优运行状态,使其运行成本最小,同时满足约束条件。本文将粒子群优化(PSO)方法应用于有统一功率控制器和无统一功率控制器两种情况下的燃料成本最小化。同时也有效地降低了系统的功率损耗。为了验证和比较所提出的技术,并在IEEE 30总线系统上进行了仿真。结果表明,统一潮流控制器的优化配置能够有效地改善电力系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal location of unified power flow controller enhancing system security
This paper Optimally locate the Unified Power flow Controller based on real power performance index (Severity index) in the power system network. Two voltage source (Power injection) model is utilized to revise the behaviour of the UPFC in the regulation of active power, reactive power and voltage profile. This model is integrated in Newton Raphson algorithm for load flow studies. Both contingency as well as the non-contingency cases with and without FACTS device are analyzed. The Optimal Power Flow (OPF) is the most important issue which is to be taken into consideration in power systems. The objective of an Optimal Power Flow is to find the optimal operating condition for the generation units for minimizing their operational costs and simultaneously satisfying the constraints. Here in this work Particle Swarm optimization (PSO) procedure has been used to minimize the fuel cost with and without Unified Power Controller. And also the system's power losses are also minimized efficiently. For the validation and comparison purposes of the proposed techniques, and simulations are carried out on IEEE 30 bus system. Results validate that the performances of the power system can be successfully improved by the optimal allocation of the Unified power flow controller.
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