Optimisation Of Location And Size For Distributed Generation In Unbalanced Grids

2021 22ND IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT)(2021)

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摘要
This paper proposes a distributed generation installation procedure that can be applied to balanced and unbalanced distribution grids. This is achieved through metaheuristic optimisation and by modelling the grid using the three-phase grid model rather than the one-line diagram model. Both the power loss in the lines and the voltage deviation from the nominal voltage are minimised using the multi-objective genetic algorithm. This installation procedure facilitates grid planning for the distribution system operator. In particular, various possible Pareto optimal solutions can be chosen, which all lead to significant improvements in the performance of the grid. When applied to the unbalanced IEEE37 grid, this method achieves an installation capacity of 3 MW while significantly reducing power loss in the lines by 83.7%, and voltage deviation from the nominal by 90.6%.
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关键词
unbalanced IEEE37 grid,installation capacity,power loss,voltage deviation,distributed generation installation procedure,unbalanced distribution grids,metaheuristic optimisation,three-phase grid model,one-line diagram model,nominal voltage,multiobjective genetic algorithm,grid planning,distribution system operator,Pareto optimal solutions,power 3.0 MW
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