Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems

doi:10.11930/j.issn.1004-9649.202311024

Abstract

Abstract:

To address the operational optimization issues of multiple heterogeneous energy in regional integrated energy systems, a coordinated operational optimization method for multi-energy storage systems aimed at multi-energy synergistic supply is proposed. Firstly, a coordinated operational optimization model based on multi-objective optimization was established for multi-energy storage systems by combining the architectural features of integrated energy systems with their operational requirements. And then, by taking into account three objectives of economy, environment, and energy efficiency, the model was used to optimize the operational parameters of systems by utilizing the improved multi-objective particle swarm optimization (MOPSO) algorithm in conjunction with the TOPSIS method. Finally, a case study was conducted using an actual regional integrated energy system in China, to explore the impact of different energy storage strategies on the system's operational performance and coordinated optimization effects. The research found that implementation of the coordinated optimization strategy for multi-energy storage systems can significantly enhance the system's performance in terms of economy, environmental protection, and energy efficiency. This study offers a viable solution for coordinated optimization of the multi-energy storage systems and synergistic supply of the multiple energies within regional integrated energy systems.

Key words: integrated energy system, multi-energy complementarity, multi-type energy storage, multi-objective, coordinated optimization

Mingfei GAO, Zhonghe HAN, Bin ZHAO, Peng LI, Di WU. Coordinated Optimization and Operational Strategy for Multi-type Energy Storage in Regional Integrated Energy Systems[J]. Electric Power, 2024, 57(9): 205-216.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202311024

https://www.electricpower.com.cn/EN/Y2024/V57/I9/205

Figures/Tables 10

References 28

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设备名称	参数类型	取值	初始成本/元
CCHP机组	功率/kW	＜500	6800
光伏板	安装数量/个	＜2000	1960
集热器	安装数量/个	＜1000	3000
储电	容量/(kW·h)	＜3000	1100
储热	容量/(kW·h)	＜8000	300
储冷	容量/(kW·h)	＜8000	300

设备名称	参数类型	取值	初始成本/元
CCHP机组	功率/kW	＜500	6800
光伏板	安装数量/个	＜2000	1960
集热器	安装数量/个	＜1000	3000
储电	容量/(kW·h)	＜3000	1100
储热	容量/(kW·h)	＜8000	300
储冷	容量/(kW·h)	＜8000	300

优化案例	功率/kW						储能容量/(kW·h)			年值成本/ (万元·年)	碳排量/kg	㶲效率
优化案例	光伏	太阳能集热器	燃气轮机	燃气锅炉	吸收式制冷机	电制冷空调	电	热	冷	年值成本/ (万元·年)	碳排量/kg	㶲效率
方案1	596.53	1069.03	403.69	1683.33	748.32	341.66	0	0	0	4.71	2411.72	0.62
方案2	537.93	847.75	222.81	1749.90	593.43	300.25	1503.61	0	0	4.97	2293.44	0.81
方案3	628.02	1300.16	255.61	1434.74	910.11	290.56	0	3106.75	61.98	4.54	2391.17	0.61
方案4	515.78	725.64	246.72	1438.85	507.95	312.78	1323.15	2795.25	156.68	4.73	2379.44	0.76

优化案例	功率/kW						储能容量/(kW·h)			年值成本/ (万元·年)	碳排量/kg	㶲效率
优化案例	光伏	太阳能集热器	燃气轮机	燃气锅炉	吸收式制冷机	电制冷空调	电	热	冷	年值成本/ (万元·年)	碳排量/kg	㶲效率
方案1	596.53	1069.03	403.69	1683.33	748.32	341.66	0	0	0	4.71	2411.72	0.62
方案2	537.93	847.75	222.81	1749.90	593.43	300.25	1503.61	0	0	4.97	2293.44	0.81
方案3	628.02	1300.16	255.61	1434.74	910.11	290.56	0	3106.75	61.98	4.54	2391.17	0.61
方案4	515.78	725.64	246.72	1438.85	507.95	312.78	1323.15	2795.25	156.68	4.73	2379.44	0.76

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