Allocation of Distributed Generators Using Parallel Grey Wolf Optimization
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Date
2021
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Publisher
IEEE
Abstract
This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.
Description
9th International Conference on Modern Power Systems (MPS) -- JUN 16-17, 2021 -- ELECTR NETWORK
Keywords
Distribution-Systems, Parallel Computation, Reconfiguration, Smart grids, Distributed generators, Distribution-Systems, Optimization, Reconfiguration, Grey Wolf Optimization Algorithm
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1
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Proceedings of 9th International Conference on Modern Power Systems (Mps 2021)