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Non-convex Dynamic Economic Dispatch Using an Innovative Hybrid Algorithm
Verma Pooja,Parouha Raghav Prasad 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
An innovative hybrid algorithm (i h PSODE) is proposed in this paper to solve non-convex dynamic economic dispatch (DED) problem. It integrated with a novel particle swarm optimization (nPSO) and diff erential evolution (nDE). A new inertia weight, gradually varying acceleration coeffi cient and position update equation introduced in nPSO, to avoid stagnation. And in nDE a new mutation strategy and crossover rate are presented, to avoid premature convergence. Additionally, in i h PSODE after calculation identify best half member and discard rest of members from the population. In current population applied nPSO, to maintain exploration and exploitation. Then to enhance local search ability and improve convergence accuracy applied nDE. Hence, proposed i h PSODE has higher probability of avoiding local optima and it is likely to fi nd global optima more quickly. Firstly, proposed i h PSODE as well as its anticipated integrating component nPSO and nDE are testifi ed on IEEE CEC2006 constrained benchmark functions. Then performance of these proposed algorithms are evaluated with non-convex DED problem with valve-point eff ects using fi ve diff erent test systems (5-unit with losses, 10-unit without losses, 10-unit with losses, 15-unit with losses and 30-unit without losses). Several numerical and graphical experiments have been done to verify performances of proposed algorithms. Additionally, statistical and comparative analysis confi rms superiority of proposed algorithms over many state-of-the-art algorithms