Economic Dispatching Planning and Capacity Allocation Analysis of Photovoltaic-Storage Charging Station

Yang WANG , Xizhe LIU

›› 2022, Vol. 16 ›› Issue (11) : 1 -8.

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›› 2022, Vol. 16 ›› Issue (11) : 1 -8. DOI: 10.13648/j.cnki.issn1674-0629.2022.11.001
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Economic Dispatching Planning and Capacity Allocation Analysis of Photovoltaic-Storage Charging Station

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Abstract

Based on the problem that traditional energy storage scheduling strategy is difficult to achieve economic optimization, a scheduling model of energy storage system of photovoltaic-storage charging station considering battery life loss is propoesd. Firstly, the physical models of energy storage, photovoltaic and EV((electric vehicle) charging are established through OpenDSS(open distribution system simulation) to simulate the daily operation of the charging station. Secondly, combined with the rain-flow counting method, the operation life of the energy storage system under different operating conditions is calculated and converted into the battery loss cost, which is included in the optimization goal. In this way, the daily charging cost of photovoltaic-storage charging station can be minimized. Finally, the improved particle swarm optimization (PSO) algorithm is used to solve the optimization problem to obtain the economic optimal energy storage capacity allocation and the daily energy storage operation scheme under this configuration. The feasibility of the model is verified by example simulation and the influence of different energy storage operation schemes on revenue and component cost is analyzed.

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energy storage / OpenDSS / particle swarm optimization (PSO) / charging station / electric vehicle / scheduling strategy

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Yang WANG,Xizhe LIU. Economic Dispatching Planning and Capacity Allocation Analysis of Photovoltaic-Storage Charging Station. 2022, 16(11): 1-8 DOI:10.13648/j.cnki.issn1674-0629.2022.11.001

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Joint Fund the National Natural Science Foundation of China-Smart Grid of State Grid Corporation of China(U2066212)

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