无管制电力系统中基于LMP计算和OPF的拥塞管理

Ramesh Guguloth, T. S. Sunil Kumar
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引用次数: 8

摘要

在重构的电力市场中,需要一种有效的输电定价方法来解决输电问题并产生正确的经济信号。输电线路的限制会导致整个电网能源价格的变化。这些价格取决于发电机的出价、负荷水平和输电网络的限制。当系统受到物理限制时,就会产生拥塞费。区位边际定价(LMP)已成为重构电力市场中解决拥堵电价问题的常用方法。本文给出了系统在正常和拥塞状态下各母线的LMP计算,并通过TCSC和DG机组的优化配置缓解了系统的拥塞。根据实际潮流和输电线路救济(TLR)灵敏度指标,提出了TCSC和DG机组的最佳配置方案。采用基于最优潮流的拥塞管理(OPF based CM)问题来最小化成本,计算LMP,缓解系统中的网络拥塞。利用原始线性规划(PLP)和遗传算法(GA)求解了基于OPF的CM问题,并将所建立的模型应用于26个母线电网。比较了PLP和遗传算法求解OPF CM问题的结果,发现遗传算法的求解具有更好的经济效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LMP calculation and OPF based congestion management in deregulated power systems
In restructured electricity markets, an effective transmission pricing method is required to address transmission issues and to generate correct economic signals. Transmission line constraints can result in variations in energy prices throughout the network. These prices depend on generator bids, load levels, and transmission network limitations. A congestion charge is incurred when the system is constrained by physical limits. Locational marginal pricing (LMP) has become a popular method in restructured power markets to address the congestion price. This paper presents, LMP calculations at each bus when system working under normal and congested condition, and the congested system has been relieved by optimal placement of TCSC and DG unit. The optimal placement of TCSC and DG unit are suggested by real power flow and transmission line relief (TLR) sensitivity indexes. Optimal power flow based congestion management (OPF based CM) problem is employed to minimize the cost, calculate LMP's and relieve network congestion in the systems. Were the OPF based CM problem solutions have been obtained by Primal Linear Programming (PLP) and Genetic Algorithm (GA), the developed models have been applied for 26 bus power system network. The comparison is made between PLP and GA OPF CM problem solutions, where the solution by the GA method gave better economic results.
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