A Fuzzy Multi-Objective Multi-Case Genetic-Based Optimization for Allocation of FACTS Devices to Improve System Static Security, Power Loss and Transmission Line Voltage Profiles

作者：Deihimi A^*; Javaheri H

来源：International Review of Electrical Engineering, 2010, 5(4): 1616-1626.

• Fuzzy Decision Making
• Genetic Algorithm
• Optimal Allocation of FACTS Devices
• Static Power System Security
• Transmission Line Voltage Profile

This paper presents a multi-objective multi-case problem of optimal allocation of flexible AC transmission system (FACTS) devices to be solved by an approach based on fuzzy decision making and genetic algorithm. Three main features of this study over previous works are: a) in addition to real power transmission loss and static security indices, the reactive power absorbed by transmission lines is considered as another objective so as to correct voltage profiles on lines of high series reactance, b) bus voltage deviations and line overloads are individually avoided as much as possible by imposing stringent constraints through defining appropriate membership functions, and c) in addition to system base case, a number of critical contingency cases obtained from a contingency analysis/ranking method are included directly in the optimization process. The installation cost is taken into account before optimization process by selecting number of devices. The variables to be optimized consist of location and type of FACTS devices, their settings for base case and regarded contingency cases. Three generic types of FACTS devices namely TCSC, SVC and STATCOM are used and modeled for steady-state studies. Simulations are performed on the standard IEEE 30-bus and 57-bus systems and the results are discussed.

• 出版日期2010-8