Modified Flower Pollination Algorithm and Applications on Optimization Dispatch of Microgrid

doi:10.12068/j.issn.1005-3026.2018.03.007

Abstract

Abstract: The swarm intelligence algorithm for solving the problem of optimization dispatch of microgrid was investigated. A model for optimization dispatch of microgrid was established under the consideration of the process characteristics， such as multi-objective and multi-constraints. A modified flower pollination algorithm (MFPA) was proposed and applied to the optimization dispatch of microgrid. During initialization， opposition method was utilized to improve the diversity of the population as well as fully explore the space. During local updating， the new operation can accelerate the convergence. In addition， the condition for using genetic operations was defined in order to reduce the calculation and avoid the local optimal solution. Simulation results demonstrated that the performance of MFPA was better than those of FPA， GA and several other algorithms.

Key words: microgrid, optimization dispatch, swarm intelligence, flower pollination algorithm(FPA), multi-objective

CLC Number:

TP319

WANG Sheng-sheng， DU Peng， DONG Ru-yi， LI Yong-he. Modified Flower Pollination Algorithm and Applications on Optimization Dispatch of Microgrid[J]. Journal of Northeastern University Natural Science, 2018, 39(3): 334-338.

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