Optimal Sizing and Siting of Distributed PV Based on Multi-strategy Improved SSA Algorithm
The Simultaneous deployment of electric vehicle charging stations and distributed photovoltaic stations in the distribution network is an effective way to reduce greenhouse gas emissions,promote the consumption of renewable energy and achieve sustainable development of energy utilization.On the basis of the distributed photovoltaic grid connection planning model,the calculation method of the annual low carbon yield of the system is introduced to quantitatively analyze the emission reduction capability of the system after photovoltaic access.Firstly,random characteristics of charging load and timing characteristics of photovoltaic output of electric bus centralized charging station are considered.Monte Carlo simulation technology and K-means clustering algorithm are used to extract charging load probability scenarios,and on this basis,a distributed photovoltaic site-setting capacity model is established.Aiming at the maximum annual low carbon yield,the multi-strategy is used to improve the sparrow search algorithm,and the proposed model is solved.Finally,combined with IEEE-33 node distribution network,the effectiveness of the proposed model and method is verified.
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