Economic optimization operation of the microgrid using the hybrid particle swarm optimization algorithm
WU Ding-hui
GAO Cong
JI Zhi-cheng
Abstract：The economic operation of the microgrid is a continuous optimization problem with multi-constraints, it not only optimizes each power resource to achieve the optimal condition,but also coordinates various power resources to satisfy the power constraint between the supplement and demand in different periods.A hybrid particle swarm optimization algorithm is proposed in this paper which is based on the stochastic weight trade-off particle swarm optimization algorithm, the immune mechanism is introduced to uniformly distribute particles in the coordinate plane. Furthermore,the nonlinear weight is integrated to improve the searching ability and the sub-gradient method is presented to accelerate the convergence rate. Each controllable power resource is deployed dynamically. The electricity market mechanism is added into the microgrid system to dispatch power resources with more effective and to achieve the economic benefits. The simulation results of the island and grid-connected operation modes show the effectiveness and validity of the proposed algorithm.
Keywords：microgrid modelmicrogrid operation modehybrid particle swarm optimization algorithmeconomic operationoptimization
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 457-467 )