Optimal Configuration Model of Photovoltaic and Energy Storage Capacity of Charging Station Considering Battery Dynamic Characteristics

doi:10.12204/j.issn.1000-7229.2021.05.010

Abstract

Abstract:

Under the policy of "New Infrastructure", the development of photovoltaic (PV) and battery energy storage (BES) technologies supplies reliable support for large scale charging piles integration into grid. This paper proposes an optimal configuration method for BES and PV in charging station. Firstly, capacity degradation, lifetime loss, and dynamic efficiency are integrated to the discharging and charging characteristics of BES to establish a refined BES model. According to this model, a mixed integer non-linear programming (MINLP) model is developed to minimize the cost of charging station. By separating variables, the MINLP is transferred to a double-layer model. The optimal solution of external layer is determined through genetic algorithm (GA), and the inner layer optimization can be solved by commercial solvers. Lastly, the double-layer model is simulated in a case study, and the simulation results validate the feasibility of the proposed model and solution methods, which could be a reference for PV and BES configuration in electric vehicle charging station.

Key words: refined battery energy storage model, double-layer programming, charging station with PV and battery energy storage, PV and battery energy storage capacity configuration

CLC Number:

TM73

GUI Qiang, SHI Yiwei, ZHOU Yun, FENG Donghan. Optimal Configuration Model of Photovoltaic and Energy Storage Capacity of Charging Station Considering Battery Dynamic Characteristics[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(5): 90-99.

Figures/Tables 17

Fig.1 BES SOH versus lifetime loss

Fig.2 Discharging time versus charging current

Fig.3 Flowchart of GA-based double-layer model

Table 1 BES parameters

Table 2 Piecewise parameters of BES SOH

Fig.4 Multistage SOH of BES whole lifetime cycle

Fig.5 Output of PV station with 4 MW installed capacity

Fig.6 EV charging load

Table 3 Other simulation parameters

Fig.7 Iteration process of GA

Table 4 Simulation results

Fig.8 Simulation results

Fig.9 Lifetime loss cost of BESS

Fig.10 BESS capacity fading

Fig.11 Operation results of BESS ignoring refined model

Table 5 Simulation results without considering refined BESS model

Table 6 Simulation results of cases for comparison

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