Voltage Stability Constrained Optimal Power Flow Using NSGA-II

作     者：Sandeep Panuganti Preetha Roselyn John Durairaj Devraj Subhransu Sekhar Dash 

作者机构：DEAN (Research) Kalasalingam University Krishnankoil India Department of Electrical and Electronics Engineering Sri RamaswamyMemorialChennai India 

出 版 物：《Computational Water, Energy, and Environmental Engineering》 (水能与环境工程（英文）)

年 卷 期：2013年第2卷第1期

页      面：1-8页

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

主　　题：Voltage Stability Optimal Power Flow Multi Objective Evolutionary Algorithms 

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.