Research on Battery Energy Storage as Backup Power in the Operation Optimization of a Regional Integrated Energy System

Jianfeng Li, Dongxiao Niu, Ming Wu, Yongli Wang, Fang Li and Huanran Dong
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Jianfeng Li: School of Economics and Management North China Electric Power University, Changping District, Beijing 102206, China
Dongxiao Niu: School of Economics and Management North China Electric Power University, Changping District, Beijing 102206, China
Ming Wu: China Electric Power Research Institute, Haidian District, Beijing 100192, China
Yongli Wang: School of Economics and Management North China Electric Power University, Changping District, Beijing 102206, China
Fang Li: School of Economics and Management North China Electric Power University, Changping District, Beijing 102206, China
Huanran Dong: School of Economics and Management North China Electric Power University, Changping District, Beijing 102206, China

Energies, 2018, vol. 11, issue 11, 1-20

Abstract: Recently, integrated energy systems have become a new type of energy supply model. It is clear that integrated energy systems can improve energy efficiency and reduce costs. However, the use of a battery energy storage system (BESS) as a backup power source will affect the operating costs of a regional integrated energy system (RIES) in different situations. In this paper, a regional integrated energy system including wind turbines, photovoltaics, gas turbines and battery energy storage was introduced. In order to obtain the minimum operation cost, an operation optimization model was built. The schedule plans of each unit were optimized by a moth flame optimization (MFO) algorithm. Finally, three different scenarios were proposed for the simulation optimization. The simulation optimization results show that when the BESS is used as a backup power source, the operating cost of the system and the resulting pollutant emissions are less than the diesel generator (DG) set. Therefore, it is worthwhile to use BESS instead of DG as the backup power source in RIES.

Keywords: integrated energy system; operating optimization; battery energy storage; renewable energy; backup power; moth flame optimization algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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