A New Novel Cuckoo Search Optimization Algorithm For Solving Optimal Reactive Power Dispatch Problem
This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. Evolutionary algorithm and Swarm Intelligence algorithm (EA, SI), a part of Bio inspired optimization algorithm, have been widely used to solve numerous optimization problem in various science and engineering domains. This paper presents, a new novel cuckoo search optimization algorithm (NCSA) based on Gauss distribution is presented to solve the reactive power dispatch problem. The simulation results demonstrate good performance of the NCSA in solving an optimal reactive power dispatch problem. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other algorithms reported those before in literature. Results show that NCSA is more efficient than others for solution of single-objective ORPD problem.
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