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Voltage Stability Constrained Optimal Power Flow Using NSGA-II

DOI: 10.4236/cweee.2013.21001    3,809 Downloads   8,841 Views   Citations


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.

Conflicts of Interest

The authors declare no conflicts of interest.

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Panuganti, S. , John, P. , Devraj, D. and Dash, S. (2013) Voltage Stability Constrained Optimal Power Flow Using NSGA-II. Computational Water, Energy, and Environmental Engineering, 2, 1-8. doi: 10.4236/cweee.2013.21001.


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