作者: Haytham M. A. Ahmed , Ayman B. Eltantawy , Magdy M. A. Salama
关键词: Control theory 、 Hybrid power 、 Genetic algorithm 、 Distributed generation 、 Power engineering 、 Engineering 、 Minification 、 Optimization problem 、 AC power 、 Electric power system
摘要: This paper proposes a novel stochastic planning model for AC-DC hybrid distribution systems (DSs). Taking into account the possibility of each line/bus being AC or DC, finds optimal configuration buses and lines in DS. It incorporates consideration behavior load demands renewable-based distributed generators (DGs). The variations are addressed using Monte-Carlo simulation technique. objective is minimization DS installation operation costs. solution obtained by dividing problem two nested optimization problems: 1) main formulated genetic algorithm (GA) to search 2) subproblem used determining power flow generated GA. proposed has been employed finding suggested case study that included photovoltaic panels, wind-based DG, electric vehicle charging stations. same was also solved traditional technique order evaluate effectiveness associated cost-savings. results demonstrate advantages offered model. framework represents an effective can be operators identify network future DSs.