Reactive Power Planning for Distribution Feeders Using a Novel Improved Self Adaptive Particle Swarm Optimization Technique
Abstract
Reactive power planning is one of the important tasksin the satisfactory operation of power systems. Many evolutionarytechniques such as particle swarm optimization (PSO), differentialevolution have been applied to solve these problems and found toperform in a better way in comparison with conventional optimizationmethods. But often these methods converge to a sub-optimal solutionprematurely. This paper presents a novel improved self adaptiveparticle swarm optimization (NISAPSO) technique for optimalreactive power compensation to avoid premature convergence. First,the inertia weight is made self adaptive in terms of fitness and particlenumbers. Further, time varying acceleration coefficients (TVSC) areused for better performance. The performance of the proposed methodis demonstrated on two test systems. The results obtained by theproposed method are compared with other methods. The results showthat the proposed technique is capable of producing comparableresults
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