Research on Multi-Objective Optimization Model for Hybrid Energy System Considering Combination of Wind Power and Energy Storage

Jing Wu, Zhongfu Tan, Keke Wang, Yi Liang and Jinghan Zhou
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Jing Wu: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Zhongfu Tan: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Keke Wang: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Yi Liang: School of Management, Hebei GEO University, Shijiazhuang 050031, China
Jinghan Zhou: School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China

Sustainability, 2021, vol. 13, issue 6, 1-15

Abstract: With the development of renewable energy, the grid connection is faced with great pressure, for its generation uncertainty and fluctuation requires larger reserve capacity, and higher operation costs. Energy storage system, as a flexible unit in the energy system, can effectively share the reserve pressure of the system by charging and discharging behaviors. In order to further improve the renewable energy utilization, the combination of wind power and energy storage for hybrid energy system is proposed. On considering the power generation characteristics, the objective functions are maximizing the system revenue and minimizing the system energy loss. Combined with the robust optimization theory, the model is transformed and solved. The results show that the application of the energy storage will effectively promote the renewable energy consumption, and the combination of the wind power and energy storage will achieve more effective utilization of the night-time wind power and cut down the total system cost.

Keywords: hybrid energy system; combined wind power and energy storage; robust optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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