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An adaptive particle swarm optimization(APSO) algorithm is presented to solve the problem that the standard particle swarm optimization(PSO) algorithm is easy to fall into a locally optimized point, where inertia weight is nonlinearly adjusted by using population diversity information. Velocity mutation factor and position interchange factor are both introduced. The APSO algorithm thus improves its...
This paper presents the determination of the optimal location and sizing of the Distributed Generation (DG). The heuristic optimization technique named Particle Swarm Optimization (PSO) is utilized to search for an optimal solution of the DG placement problem. The objective is to minimize total line losses of the radial distribution network. Therefore, the power flow calculation method for radial...
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