Research On Planning Method Of Photovoltaic-Storage Charging Station With Robust Optimization

The widespread access of Electric Vehicle(EV)will promote the rapid rise and development of charging station industry.The PV-Energy storage charging station,which integrates photovoltaic power generation,energy storage facilities,intelligent charging piles and other advanced technologies,realizes the organic combination of source,storage and loading.It conforms to the goal of building a clean,low-carbon,safe and efficient modern energy system,and has received widespread attention in society.However,there has been many challenges in the planning and operation.How to solve the problems in the planning and operation of PV-Energy storage charging station and realize their reasonable planning and efficient operation has certain theoretical research value and practical significance.Firstly,this paper analyzes the development status and engineering practice of EV charging station planning and operation at home and abroad,introduces the modeling method of uncertain factors from the theoretical level,and mainly conducts theoretical analysis from the bi-level optimization and robust optimization,laying a theoretical foundation for the modeling method in the following paragraphs.Secondly,the system architecture of the PV-Energy storage charging station is analyzed.Taking the PV-Energy storage charging station and EV users as the subjects of the upper and lower levels respectively,considering the system planning constraints,operation constraints and user demand constraints,and taking into account the user choice,a bi-level optimization model was established for the capacity allocation and electricity price of the PV-Energy storage charging station.Using piecewise linear utility function,KKT condition and linearization method,the problem is transformed into a single-layer mixed integer linear programming,and CPLEX is used to solve the model.The advantage of the model proposed in this paper is verified by the simulation of the model with relevant data.Then,the uncertainties faced by the PV-Energy storage charging station in the planning and operation are analyzed,and the uncertainty modeling is carried out.Based on the robust optimization theory and the bi-level programming model,a two-stage robust optimization programming model for the PV-Energy storage charging station is established.The dual theory and linearization method are used to transform the model.Then the column and constraint generation(C&CG)algorithm based on the decomposition method is introduced to decompose the original model into the master-sub problem,and the solution flow for the problem is designed.Finally,in order to verify the validity of the proposed model and the algorithm,the solution is solved by the commercial solver,and the simulation is carried out from the comparison of the optimization model and the uncertainty analysis.Through the calculation results,the quantitative effects of uncertain variables are compared and analyzed,and the reasons for different planning results are summarized.