Energy Simulation and Optimal Scheduling of Integrated Energy System Considering Hybrid Energy Storage

doi:10.11930/j.issn.1004-9649.202001087

Abstract

Abstract: The complementary multi-energy based integrated energy system (IES) is an important way to improve regional energy efficiency and optimize energy resources allocation. An energy flow matrix model is established for the IES equipment with the minimal operating cost of the IES as the objective function, and a hybrid algorithm combining dynamic programming and the improved PSO is proposed. Under the same load and energy price settings, the horizontal analysis method is used to analyze the IES optimization under three working conditions, including without energy storage (condition 1), with sole thermal storage (condition 2), and with hybrid thermal-cold energy storage (condition 3). The results show that the operating costs of condition 3 and condition 2 are 14.65% and 5.92% lower than that of condition 1, respectively; The energy storage devices have significant effects on the optimal scheduling of IES, which can not only reduce the unnecessary use of energy-supply equipment, but also reduce the operating cost while ensuring a more stable system operation.

Key words: integrated energy system (IES), optimal scheduling, hybrid energy storage, dynamic programming

LUO Yongwei, LI Chengren, ZHANG Ling, ZHANG Jianmin, WU Xinhong, LIAN Jinbu, FAN Jin. Energy Simulation and Optimal Scheduling of Integrated Energy System Considering Hybrid Energy Storage[J]. Electric Power, 2020, 53(10): 96-103.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202001087

https://www.electricpower.com.cn/EN/Y2020/V53/I10/96

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