Research on energy management strategy optimization of CCHP system with composite energy storage in grid-connected and power export modes

doi:10.19799/j.cnki.2095-4239.2024.0517

Abstract

Abstract:

Combined Cooling, Heating, and Power (CCHP) systems are critical for industrial parks and building users to achieve dual carbon reduction goals in their energy utilization. This study addresses the challenges of energy imbalance, equipment coupling, grid connection, and online access modes within CCHP systems by integrating a battery energy storage system and a water tank thermal storage system. A multi-objective optimization function for the CCHP system's energy management strategy is developed, targeting operating costs and fuel consumption. The study considers the impact of constraints and congestion operators on the search performance of the non-dominated sorting genetic algorithm (NSGA-II) and applies an improved NSGA-II algorithm to optimize the CCHP system's energy management strategy. The results demonstrate that, in grid-connected and online modes, the CCHP system with composite energy storage achieves reductions in daily operating costs and fuel consumption by 0.89% and 2.11%, respectively, on typical summer days compared to a system without energy storage. On typical winter days, the savings increase to 27.70% and 7.30%, respectively, with annual reductions of 11.11% in operating costs and 6.06% in total energy consumption. These findings indicate that the energy management strategy derived from the improved NSGA-II algorithm provides effective energy regulation for the CCHP system with composite energy storage.

Key words: combined cooling, heating and power, grid connection and power export, composite energy storage, improved NSGA-II algorithm

CLC Number:

TK 01

Cheng CHEN, Shili LIN, Anxin HU, Xianyong ZHANG. Research on energy management strategy optimization of CCHP system with composite energy storage in grid-connected and power export modes[J]. Energy Storage Science and Technology, 2024, 13(11): 3981-3992.

Figures/Tables 14

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Table 1

Table 2

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Table 3

References 17

1	夏琦, 何阳, 徐玉杰, 等. 绝热压缩空气储能系统冷热电联供与负荷匹配特性[J]. 储能科学与技术, 2021, 10(5): 1494-1502. DOI: 10.19799/j.cnki.2095-4239.2021.0233.
	XIA Q, HE Y, XU Y J, et al. Matching performance between the trigeneration of an adiabatic compressed air energy storage system and load[J]. Energy Storage Science and Technology, 2021, 10(5): 1494-1502. DOI: 10.19799/j.cnki.2095-4239. 2021. 0233.
2	李昊, 刘畅, 苗博, 等. 考虑冷热电互补及储能系统的多园区综合能源系统协调优化调度[J]. 储能科学与技术, 2022, 11(5): 1482-1491. DOI: 10.19799/j.cnki.2095-4239.2021.0631.
	LI H, LIU C, MIAO B, et al. Coordinative optimal dispatch of multi-park integrated energy system considering complementary cooling, heating and power and energy storage systems[J]. Energy Storage Science and Technology, 2022, 11(5): 1482-1491. DOI: 10.19799/j.cnki.2095-4239.2021.0631.
3	王异林, 苏博生, 黄枝, 等. 太阳能辅助沼气化学回热的新型冷热电联产系统模拟分析[J]. 动力工程学报, 2024, 44(2): 213-220, 231. DOI: 10.19805/j.cnki.jcspe.2024.230449.
	WANG Y L, SU B S, HUANG Z, et al. Simulation analysis of a new CCHP system based on solar-assisted biogas chemical recuperation[J]. Journal of Chinese Society of Power Engineering, 2024, 44(2): 213-220, 231. DOI: 10.19805/j.cnki.jcspe.2024.230449.
4	马文静, 苏国萍, 于涛, 等. 基于可靠性评估的冷热电三联产系统运行优化研究[J]. 热能动力工程, 2023, 38(9): 47-55. DOI: 10.16146/j.cnki.rndlgc.2023.09.006.
	MA W J, SU G P, YU T, et al. Research on operation optimization of CCHP system based on reliability evaluation[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38(9): 47-55. DOI: 10.16146/j.cnki.rndlgc.2023.09.006.
5	王永利, 向皓, 李淑清. 考虑冷热电三联供系统耦合特性的区域综合能源系统运行优化[J]. 科学技术与工程, 2023, 23(18): 7787-7797. DOI: 10.3969/j.issn.1671-1815.2023.18.023.
	WANG Y L, XIANG H, LI S Q. Regional integrated energy system considering combined cooling heating and power system coupling characteristics on operation optimization[J]. Science Technology and Engineering, 2023, 23(18): 7787-7797. DOI: 10.3969/j.issn.1671-1815.2023.18.023.
6	廖柏睿, 吴晓南, 苏要港, 等. 综合能源系统运行优化设计与运行策略研究[J]. 热能动力工程, 2023, 38(3): 82-90. DOI: 10.16146/j.cnki.rndlgc.2023.03.011.
	LIAO B R, WU X N, SU Y G, et al. Research on operation optimization design and operation strategy of integrated energy system[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38(3): 82-90. DOI: 10.16146/j.cnki.rndlgc.2023.03.011.
7	FENG L J, DAI X Y, MO J R, et al. Analysis of energy-matching performance and suitable users of conventional CCHP systems coupled with different energy storage systems[J]. Energy Conversion and Management, 2019, 200: 112093. DOI: 10.1016/j.enconman.2019.112093.
8	陈彪, 段立强, 杨丽波. 耦合太阳能的SOFC-MGT-CCHP系统不同运行策略性能对比研究[J]. 中国电机工程学报, 2022, 42(11): 4079-4090. DOI: 10.13334/j.0258-8013.pcsee.210990.
	CHEN B, DUAN L Q, YANG L B. Performance comparative study of SOFC-MGT-CCHP system coupled with solar energy under different operating strategies[J]. Proceedings of the CSEE, 2022, 42(11): 4079-4090. DOI: 10.13334/j.0258-8013.pcsee.210990.
9	OUYANG T C, TAN X L, TUO X Y, et al. Performance analysis and multi-objective optimization of a novel CCHP system integrated energy storage in large seagoing vessel[J]. Renewable Energy, 2024, 224: 120185. DOI: 10.1016/j.renene. 2024.120185.
10	MO J R, DAI X Y, XU S H, et al. Analysis of performance and suitable users of CCHP systems with active thermal energy storage[J]. Applied Thermal Engineering, 2023, 229: 120574. DOI: 10.1016/j.applthermaleng.2023.120574.
11	DU J, GUO J. Analysis of multi-cascade CCHP system with gas turbine bypass extraction air energy storage[J]. Applied Thermal Engineering, 2023, 232: 121021. DOI: 10.1016/j.applthermaleng. 2023.121021.
12	周文操, 张学军, 闫来清. 一种缩小CCHP系统优化调度解空间的方法[J]. 太阳能学报, 2023, 44(11): 556-564. DOI: 10.19912/j.0254-0096.tynxb.2022-1197.
	ZHOU W C, ZHANG X J, YAN L Q. An optimal scheduling scheme of cchp systems by reducing solution space[J]. Acta Energiae Solaris Sinica, 2023, 44(11): 556-564. DOI: 10.19912/j.0254-0096.tynxb.2022-1197.
13	熊文, 刘育权, 苏万煌, 等. 考虑多能互补的区域综合能源系统多种储能优化配置[J]. 电力自动化设备, 2019, 39(1): 118-126. DOI: 10.16081/j.issn.1006-6047.2019.01.018.
	XIONG W, LIU Y Q, SU W H, et al. Optimal configuration of multi-energy storage in regional integrated energy system considering multi-energy complementation[J]. Electric Power Automation Equipment, 2019, 39(1): 118-126. DOI: 10.16081/j.issn.1006-6047.2019.01.018.
14	DAI Y R, ZENG Y P. Optimization of CCHP integrated with multiple load, replenished energy, and hybrid storage in different operation modes[J]. Energy, 2022, 260: 125129. DOI: 10.1016/j.energy.2022.125129.
15	周俊玲. 锂离子电池储能产品的电气安全设计分析[J]. 储能科学与技术, 2023, 12(7): 2357-2358.
	ZHOU J L. Analysis of electrical safety design of lithium ion battery energy storage products[J]. Energy Storage Science and Technology, 2023, 12(7): 2357-2358.
16	方彤, 蒋东方, 杨洋, 等. 基于NSGA-Ⅱ和熵权法的氢综合能源系统商业运营模式[J]. 中国电力, 2022, 55(1): 110-118. DOI: 10.11930/j.issn.1004-9649.202107102.
	FANG T, JIANG D F, YANG Y, et al. Research on business operation mode of hydrogen integrated energy system based on NSGA-Ⅱ and entropy weight method[J]. Electric Power, 2022, 55(1): 110-118. DOI: 10.11930/j.issn.1004-9649.202107102.
17	YANG G, ZHAI X Q. Optimization and performance analysis of solar hybrid CCHP systems under different operation strategies[J]. Applied Thermal Engineering, 2018, 133: 327-340. DOI: 10.1016/j.applthermaleng.2018.01.046.

项目	谷段	平段	峰段
购电单价/(元/kWh)	0.3	0.9	1.25
售电单价/(元/kWh)	0.2	0.75	1

设备	燃料费用 /(元/kWh)	维护费用 /(元/kWh)	最大功率 /kW
燃气机组	3.26	0.06	120
燃气锅炉	3.26	0.000015	200
光伏发电系统	—	0.174	—
电池储能系统	—	0.00018	200
水箱蓄热系统	—	0.000012	200

分类	年运行费用/万元	年总能耗/万m³
无储能系统	99	33
复合储能系统	88	31

[1]	Yunjie LU. Use and maintenance of composite energy storage system for new energy vehicle testing station [J]. Energy Storage Science and Technology, 2024, 13(11): 4198-4200.
[2]	LI Chuan1, LI Qi2, JIANG Zhu1, CAO Hui1, QIAO Geng3, LI Yongliang1, LEI Xianzhang3, DING Yulong1. Charging and discharging behavior of carbonate-based salt composite phase change material modules [J]. Energy Storage Science and Technology, 2017, 6(4): 655-661.