Solution for Optimal Power Flow Problem in Wind Energy System using Hybrid Multi Objective Artificial Physical Optimization Algorithm
C. Shilaja K. Ravi
Normally, the nature of the wind energy as a renewable energy sources has uncertainty in generation. To solve the Optimal Power Flow (OPF) problem, this paper proposed a new Hybrid Multi Objective Artificial Physical Optimization (HMOAPO) algorithm, which does not need the control parameters unlike other meta-heuristic algorithms in the literature. Artificial Physical Optimization (APO), a moderately new population-based intelligence algorithm, shows fine performance on optimization problems. Moreover, this paper presents hybrid form of Animal Migration Optimization (AMO) Algorithm to precise the convergence characteristic of APO.The OPF problem is considered with six different test cases, the effectiveness of the proposed HMOAPO method is tested on IEEE 30-bus, IEEE 118-bus and IEEE 300-bus test system. The obtained results from the HMOAPO algorithm are compared with the other optimization techniques in the literature. The obtained comparison results indicate that proposed solution is effective to reach optimal solution for the OPF problem.
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