Power System Optimization for Voltage Stability Improvement through Genetic Algorithm

Abstract

The demand of electrical energy is continuously increasing and therefore it becomes difficult to operate the system securely while simultaneously having optimal cost of operation. The security of the system can be measured by voltage stability index (VSI), the voltage stability is formulated as L-index and its minimization is attempts for voltage secure operation. The optimal economy has been attempted by cost minimization various other aspects of minimization are minimization of Losses and minimization of emission resulting due to operation of thermal plants.

The above optimization has been attempted using genetic algorithm. For multi-objective optimization, fuzzy decision making is integrated into Genetic Algorithm. The objective are mapped into fuzzy memberships and optimization of membership function is attempted. The multi-objective optimization is attempted for minimization of L-index and Cost, Cost and Emission, L-index and Emission, L-index and loss, loss and cost. The result are also examine for three variables sets and four variables sets.

The algorithm is tested on IEEE 6-generator 30-bus and IEEE 7-generator 57-bus systems and the respective result is obtained.