期刊名称：Computational Water, Energy, and Environmental Engineering
印刷版ISSN：2168-1562
电子版ISSN：2168-1570
出版年度：2013
卷号：2
期号：1
页码：1-8
DOI：10.4236/cweee.2013.21001
出版社：Scientific Research Publishing
摘要：Voltage stability has become an important issue in planning and operation of many power systems. This work includes multi-objective evolutionary algorithm techniques such as Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) approach for solving Voltage Stability Constrained-Optimal Power Flow (VSC-OPF). Base case generator power output, voltage magnitude of generator buses are taken as the control variables and maximum L-index of load buses is used to specify the voltage stability level of the system. Multi-Objective OPF, formulated as a multi-objective mixed integer nonlinear optimization problem, minimizes fuel cost and minimizes emission of gases, as well as improvement of voltage profile in the system. NSGA-II based OPF-case 1-Two objective-Min Fuel cost and Voltage stability index; case 2-Three objective-Min Fuel cost, Min Emission cost and Voltage stability index. The above method is tested on standard IEEE 30-bus test system and simulation results are done for base case and the two severe contingency cases and also on loaded conditions.
关键词：Voltage Stability; Optimal Power Flow; Multi Objective Evolutionary Algorithms
