Optimal battery schedule for grid-connected photovoltaic-battery systems of office buildings based on a dynamic programming algorithm

The optimal schedule of energy storage systems is an effective way to improve the economy and stability of grid connected photovoltaic-battery energy storage systems (PV-BESS). This study presents an operation strategy considering economic feasibility and photovoltaic self-consumption rate (SCR) for...

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Veröffentlicht in:Journal of energy storage Jg. 50; S. 104557
Hauptverfasser: Li, Yi, Peng, Jinqing, Jia, He, Zou, Bin, Hao, Bin, Ma, Tao, Wang, Xiaoyang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.06.2022
Schlagworte:
Battery energy storage system
Dynamic programming algorithm
Low-energy buildings
Sensitivity analysis
Time-of-Use (ToU)
Time-of-Use (ToU)
Dynamic programming algorithm
Battery energy storage system
Sensitivity analysis
Low-energy buildings
ISSN:2352-152X, 2352-1538
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Zusammenfassung:The optimal schedule of energy storage systems is an effective way to improve the economy and stability of grid connected photovoltaic-battery energy storage systems (PV-BESS). This study presents an operation strategy considering economic feasibility and photovoltaic self-consumption rate (SCR) for the energy management of office buildings under time-of-use (ToU) electricity price. The strategy aims to optimize FiT revenue streams for the PV-BESS by scheduling the overall energy flow in real time based on a dynamic programming algorithm. The battery control strategy based on a dynamic programming algorithm can control the energy flow in a flexible way to minimize net present value (NPV) in a typical year, while taking such factors as dynamic electricity price, the battery cycling aging, and demand response characteristics into account. An existing PV-BESS used for a middle-size office building in Beijing was taken as a case study to evaluate the optimization model. It is shown that the dispatch strategy could achieve superior performance in the cold region in China. Additionally, the indices affecting economic performance were figured out to validate the feasibility of the proposed algorithm. The results show that while the unit cost of energy storage is dropped to about 100$/kWh, the system could gain revenue under different electricity prices. Lastly, it is concluded that electricity price is the most sensitive parameter to the system's economy through sensitivity analysis. •A dynamic programming-based strategy for PV-BESS is presented.•The indices affecting economic benefits are proposed to assess the operation strategy.•The techno-economic performance of PV-BESS under three strategies is compared.
ISSN:2352-152X
2352-1538
DOI:10.1016/j.est.2022.104557