Optimized Dispatch of Park Integrated Energy System with Thermoelectric Flexible Response under Green Certificate-Carbon Trading Mechanism

doi:10.11930/j.issn.1004-9649.202308061

Abstract

Abstract:

In order to further improve the consumption rate of renewable energy and the low carbon and economy of the park integrated energy system (PIES), this paper proposes a low-carbon economic scheduling strategy for PIES, which considers the green certificate-carbon trading mechanism and the thermoelectric flexible response of combined heat and power (CHP) units. Firstly, a green certificate-carbon trading mechanism is established using the green certificate trading model and the stepped carbon trading model to improve the consumption of renewable energy within the system and decrease carbon emissions. Secondly, a thermoelectric flexible response model for CHP units is established by introducing the organic Rankine cycle into the system in combination with the conventional CHP units and electric boilers, thereby optimizing the system operations and providing greater application scope for the green certificate-carbon trading mechanism. Finally, with the goal of minimizing the total cost of the system, an optimization model of the PIES is constructed with consideration of the green certificate-carbon trading mechanism and the thermoelectric flexible response of the CHP units. The results show that the proposed strategy can improve the consumption rate of renewable energy, and reduce the carbon emissions and the total cost of the system.

Key words: carbon emission trading, green certificate trading, thermoelectric flexible response, park integrated energy system, low-carbon economic dispatch

Xinglong CHEN, Ximin CAO, Jie CHEN, Jun LIU, Yuchao ZHANG, Hongyin BAO. Optimized Dispatch of Park Integrated Energy System with Thermoelectric Flexible Response under Green Certificate-Carbon Trading Mechanism[J]. Electric Power, 2024, 57(6): 110-120.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202308061

https://www.electricpower.com.cn/EN/Y2024/V57/I6/110

Figures/Tables 15

Fig.1 Park integrated energy system framework

Fig.2 Predicted output of renewable energy and load curves in PIES

Fig.3 Time-of-use electricity price

Table 1 Equipment parameters

设备	容量/kW	能量转换效率/%
设备	容量/kW	气转电	气转热
燃气轮机	1000	30	60
电锅炉	500	90
余热锅炉	600	90
有机朗肯循环	600	80
热泵	250	410
电制冷机	400	240
吸收式制冷机	500	80
风力发电	2000
光伏	800

Table 2 Energy storage parameters

设备	容量/kW	容量下限约束/%	容量上限约束/%
蓄电池	450	20	90
蓄热罐	500	20	90

Table 3 Running results of all scenarios

场景	碳排放量/kg	经济成本/元
场景	碳排放量/kg	CET	GCT	系统运行	总计
1	15384.29	6524.44		11792.98	18317.42
2	14860.52	6380.25		10966.37	17346.62
3	14351.82	5983.46	–1439.03	10315.64	14860.07
4	13480.17	5601.97	–1528.41	9596.32	13669.88

Fig.4 Electric power balance in scenario 4

Fig.5 Thermal power balance in scenario 4

Fig.6 Cold power balance in scenario 4

Fig.7 CHP output power in scenario 4

Fig.8 GT electric power output in scenario 4

Fig.9 GT thermal power output in scenario 4

Fig.10 Renewable energy consumption rate of each scenario system

Fig.11 Consumption of renewable energy under different green certificate prices

Fig.12 Impact curves of different quota coefficients

References 33

1	李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41 (18): 6245- 6259.
	LI Hui, LIU Dong, YAO Danyang. Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41 (18): 6245- 6259.
2	谭显东, 刘俊, 徐志成, 等. “双碳” 目标下“十四五” 电力供需形势[J]. 中国电力, 2021, 54 (5): 1- 6.
	TAN Xiandong, LIU Jun, XU Zhicheng, et al. Power supply and demand balance during the 14th five-year plan period under the goal of carbon emission peak and carbon neutrality[J]. Electric Power, 2021, 54 (5): 1- 6.
3	张明光, 王文婷, 陈大为. 基于合作博弈的多区域综合能源系统优化调度[J]. 智慧电力, 2022, 50 (10): 102- 108.
	ZHANG Mingguang, WANG Wenting, CHEN Dawei. Optimal dispatching of multi-regional integrated energy system based on cooperative game[J]. Smart Power, 2022, 50 (10): 102- 108.
4	MA H, CHEN Q, HU B, et al. A compact model to coordinate flexibility and efficiency for decomposed scheduling of integrated energy system[J]. Applied Energy, 2021, 285, 116474. DOI
5	LIU W X, HUANG Y C, LI Z Z, et al. Optimal allocation for coupling device in an integrated energy system considering complex uncertainties of demand response[J]. Energy, 2020, 198, 117279. DOI
6	亢朋朋, 王啸天, 陈铨艺, 等. 考虑碳交易的综合能源系统在不同配置情景下的运行分析[J]. 智慧电力, 2023, 51 (04): 16- 22, 45.
	KANG Pengpeng, WANG Xiaotian, CHEN Quanyi, et al. Operation analysis of integrated energy system considering carbon trading under different configuration scenarios[J]. Smart Power, 2023, 51 (04): 16- 22, 45.
7	谷金蔚, 卢阳洋. 中国绿证市场的现状分析与交易机制优化[J]. 电力建设, 2019, 40 (10): 45- 55.
	GU Jinwei, LU Yangyang. Status analysis on Chinese tradable green certificate market and the optimization of trading mechanism[J]. Electric Power Construction, 2019, 40 (10): 45- 55.
8	刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度[J]. 电网技术, 2023, 47 (6): 2207- 2222.
	LIU Xiaojun, NIE Fanjie, YANG Dongfeng, et al. Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model[J]. Power System Technology, 2023, 47 (6): 2207- 2222.
9	万文轩, 冀亚男, 尹力, 等. 碳交易在综合能源系统规划与运行中的应用及展望[J]. 电测与仪表, 2021, 58 (11): 39- 48.
	WAN Wenxuan, JI Yanan, YIN Li, et al. Application and prospect of carbon trading in the planning and operation of integrated energy system[J]. Electrical Measurement & Instrumentation, 2021, 58 (11): 39- 48.
10	卫志农, 张思德, 孙国强, 等. 基于碳交易机制的电—气互联综合能源系统低碳经济运行[J]. 电力系统自动化, 2016, 40 (15): 9- 16.
	WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Carbon trading based low-carbon economic operation for integrated electricity and natural gas energy system[J]. Automation of Electric Power Systems, 2016, 40 (15): 9- 16.
11	黄冬梅, 王干帅, 孙锦中, 等. 碳交易机制下园区综合能源系统优化调度[J/OL]. 电力系统及其自动化学报: 1–11[2023-07-27].https://doi.org/10.19635/j.cnki.csu-epsa.001304.
	HUANG Dongmei, WANG Ganshuai, SUN Jinzhong, et al. Optimization of integrated energy system scheduling under carbon trading mechanism[J/OL]. Journal of Electric Power Systems and Automation: 1–11[2023-07-27].https://doi.org/10.19635/j.cnki.csu-epsa.001304.
12	邱彬, 宋绍鑫, 王凯, 等. 计及需求响应和阶梯型碳交易机制的区域综合能源系统优化运行[J]. 电力系统及其自动化学报, 2022, 34 (5): 87- 95, 101.
	QIU Bin, SONG Shaoxin, WANG Kai, et al. Optimal operation of regional integrated energy system considering demand response and ladder-type carbon trading mechanism[J]. Proceedings of the CSU-EPSA, 2022, 34 (5): 87- 95, 101.
13	魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43 (1): 1- 9.
	WEI Zhenbo, MA Xinru, GUO Yi, et al. Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric Power Construction, 2022, 43 (1): 1- 9.
14	曹雨微, 郭晓鹏, 董厚琦, 等. 计及消纳责任权重的区域综合能源系统运行优化研究[J]. 华北电力大学学报(自然科学版), 2022, 49 (3): 84- 95.
	CAO Yuwei, GUO Xiaopeng, DONG Houqi, et al. Operation optimization of regional integrated energy system under responsibility of renewable energy consumption[J]. Journal of North China Electric Power University (Natural Science Edition), 2022, 49 (3): 84- 95.
15	王坤, 徐程炜, 文福拴, 等. 绿色证书交易下可再生能源参与现货市场的过渡机制[J]. 电力系统自动化, 2023, 47 (14): 1- 11.
	WANG Kun, XU Chengwei, WEN Fushuan, et al. Transition mechanism for renewable energy participation in electricity spot market considering green certificate trading[J]. Automation of Electric Power Systems, 2023, 47 (14): 1- 11.
16	葛淑娜, 张彩玲, 王爽, 等. 计及氢能多元利用和绿证-碳联合交易的综合能源系统优化运行[J]. 电力自动化设备, 2023, 43 (12): 231- 237.
	GE Shuna, ZHANG Cailing, WANG Shuang, et al. Optimal operation of integrated energy system considering multi-utilization of hydrogen energy and green certification-carbon joint trading[J]. Electric Power Automation Equipment, 2023, 43 (12): 231- 237.
17	孟宇翔, 马刚, 李豪, 等. 基于绿证-阶梯式碳交易交互的源荷互补调度优化[J]. 中国电力, 2023, 56 (9): 149- 156.
	MENG Yuxiang, MA Gang, LI Hao, et al. Optimal scheduling of source-load complementation based on green certificate-step carbon trading interaction[J]. Electric Power, 2023, 56 (9): 149- 156.
18	ABDOLMOHAMMADI H R, KAZEMI A. A benders decomposition approach for a combined heat and power economic dispatch[J]. Energy Conversion and Management, 2013, 71, 21- 31. DOI
19	魏震波, 黄宇涵, 高红均, 等. 含电转气和热电解耦热电联产机组的区域能源互联网联合经济调度[J]. 电网技术, 2018, 42 (11): 3512- 3520.
	WEI Zhenbo, HUANG Yuhan, GAO Hongjun, et al. Joint economic scheduling of power-to-gas and thermoelectric decoupling CHP in regional energy internet[J]. Power System Technology, 2018, 42 (11): 3512- 3520.
20	杨冬锋, 徐扬, 姜超. 考虑多类型需求响应的电-热联合系统多时间尺度协调调度[J]. 太阳能学报, 2021, 42 (10): 282- 289.
	YANG Dongfeng, XU Yang, JIANG Chao. Multiple time-scale coordinated scheduling of combined electro-thermal system considering multi-type demand response[J]. Acta Energiae Solaris Sinica, 2021, 42 (10): 282- 289.
21	陈艳波, 马彦虎, 郑国栋, 等. 计及需求响应的多CHP机组热电解耦协调规划[J]. 电网技术, 2022, 46 (10): 3821- 3832.
	CHEN Yanbo, MA Yanhu, ZHENG Guodong, et al. Coordinated planning of thermo-electrolytic coupling for multiple CHP units considering demand response[J]. Power System Technology, 2022, 46 (10): 3821- 3832.
22	林卓然, 朱晓东, 王守相, 等. 考虑热网动态特性与碳交易的电-热综合能源系统优化调度[J]. 电力系统及其自动化学报, 2022, 34 (4): 64- 70.
	LIN Zhuoran, ZHU Xiaodong, WANG Shouxiang, et al. Optimal scheduling of electric-thermal integrated energy system considering dynamic characteristics of heating network and carbon trading[J]. Proceedings of the CSU-EPSA, 2022, 34 (4): 64- 70.
23	武进. 冷热电联供系统热电解耦方案及性能分析[D]. 北京: 华北电力大学, 2021.
	WU Jin. Thermoelectric decoupling scheme and performance analysis of combined cooling heating and power system[D]. Beijing: North China Electric Power University, 2021.
24	李蔚, 杨存辉, 吴国林, 等. 热电联产机组耦合吸收式热泵运行特性的研究[J]. 动力工程学报, 2023, 43 (7): 951- 958.
	LI Wei, YANG Cunhui, WU Guolin, et al. Research on operating characteristics of coupled absorption heat pump for cogeneration units[J]. Journal of Chinese Society of Power Engineering, 2023, 43 (7): 951- 958.
25	陈锦鹏, 胡志坚, 陈嘉滨, 等. 考虑阶梯式碳交易与供需灵活双响应的综合能源系统优化调度[J]. 高电压技术, 2021, 47 (9): 3094- 3106.
	CHEN Jinpeng, HU Zhijian, CHEN Jiabin, et al. Optimal dispatch of integrated energy system considering ladder-type carbon trading and flexible double response of supply and demand[J]. High Voltage Engineering, 2021, 47 (9): 3094- 3106.
26	董旭, 袁海山, 叶昀, 等. 园区综合能源系统现状与技术趋势[J]. 能源与环境, 2021, (4): 16- 19.
27	骆钊, 秦景辉, 梁俊宇, 等. 含绿色证书跨链交易的综合能源系统运行优化[J]. 电网技术, 2021, 45 (4): 1311- 1320.
	LUO Zhao, QIN Jinghui, LIANG Junyu, et al. Operation optimization of integrated energy system with green certificate cross-chain transaction[J]. Power System Technology, 2021, 45 (4): 1311- 1320.
28	张晓辉, 刘小琰, 钟嘉庆. 考虑奖惩阶梯型碳交易和电–热转移负荷不确定性的综合能源系统规划[J]. 中国电机工程学报, 2020, 40 (19): 6132- 6142.
	ZHANG Xiaohui, LIU Xiaoyan, ZHONG Jiaqing. Integrated energy system planning considering a reward and punishment ladder-type carbon trading and electric-thermal transfer load uncertainty[J]. Proceedings of the CSEE, 2020, 40 (19): 6132- 6142.
29	瞿凯平, 黄琳妮, 余涛, 等. 碳交易机制下多区域综合能源系统的分散调度[J]. 中国电机工程学报, 2018, 38 (3): 697- 707.
	QU Kaiping, HUANG Linni, YU Tao, et al. Decentralized dispatch of multi-area integrated energy systems with carbon trading[J]. Proceedings of the CSEE, 2018, 38 (3): 697- 707.
30	蒋超凡, 艾欣. 计及多能耦合机组不确定性的综合能源系统运行优化模型研究[J]. 电网技术, 2019, 43 (8): 2843- 2854.
	JIANG Chaofan, AI Xin. Integrated energy system operation optimization model considering uncertainty of multi-energy coupling units[J]. Power System Technology, 2019, 43 (8): 2843- 2854.
31	秦婷, 刘怀东, 王锦桥, 等. 基于碳交易的电—热—气综合能源系统低碳经济调度[J]. 电力系统自动化, 2018, 42 (14): 8- 13, 22.
	QIN Ting, LIU Huaidong, WANG Jinqiao, et al. Carbon trading based low-carbon economic dispatch for integrated electricity-heat-gas energy system[J]. Automation of Electric Power Systems, 2018, 42 (14): 8- 13, 22.
32	陈锦鹏, 胡志坚, 陈颖光, 等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J]. 电力自动化设备, 2021, 41 (9): 48- 55.
	CHEN Jinpeng, HU Zhijian, CHEN Yingguang, et al. Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production[J]. Electric Power Automation Equipment, 2021, 41 (9): 48- 55.
33	贠保记, 白森珂, 张国. 基于混沌自适应粒子群算法的冷热电联供系统优化[J]. 电力系统保护与控制, 2020, 48 (10): 123- 130.
	YUN Baoji, BAI Senke, ZHANG Guo. Optimization of CCHP system based on a chaos adaptive particle swarm optimization algorithm[J]. Power System Protection and Control, 2020, 48 (10): 123- 130.

[1]	ZHOU Feihang, WANG Hao, WANG Haili, WANG Meng, JIN Yaojie, LI Zhongchun, ZHANG Zhongde, WANG Peng. Multi-entity Behaviors in Electricity-Carbon-Green Certificate Coupled Markets Based on Multi-agent Reinforcement Learning [J]. Electric Power, 2025, 58(4): 44-55.
[2]	Jingcheng HU, Yunhao FAN, Tong ZHU, Zhenping CHEN. Distributed Low-Carbon Economic Dispatch for Integrated Energy System Based on Homomorphic Encryption [J]. Electric Power, 2025, 58(2): 164-175.
[3]	Cailing ZHANG, Shuang WANG, Shuna GE, Deng PAN, Yan ZHANG, Wei HAN, Wenyan DUAN. Optimal Scheduling of Integrated Energy Systems Considering Flexible Demand Response and Carbon Emission-Green Certificate Joint Trading [J]. Electric Power, 2024, 57(5): 14-25.
[4]	LV Hao, HE Yiming, TIAN Hao, WANG Tieqiang, QIU Xiaohong, MA Rui. Modeling and Simulation of Fast Communication Network for Park Integrated Energy System Based on IoT [J]. Electric Power, 2022, 55(5): 166-173.
[5]	LI Peng, YANG Shenbo, WEI Chengzhou, ZHANG Yihan, TIAN Chunzheng, WANG Shiqian, XUE Fan, TAN Zhongfu. Robust Stochastic Optimization Model of Park Integrated Energy System Considering Impact of Energy Policy [J]. Electric Power, 2022, 55(11): 109-120.
[6]	XU Jiguang. Low-Carbon Economic Dispatching for Power Grid Integrated with Wind Power System Based on the Green Certificate Trading Mechanism [J]. Electric Power, 2016, 49(7): 145-150.
[7]	CHEN Li,, ZHANG Xiangyu, JU Liwei, YU Shunkun, TAN Zhongfu. Clean Energy Generation Oriented Initial Quota Allocation Method for Carbon Emissions Trading of West-East Power Transmission [J]. Electric Power, 2016, 49(4): 170-173.
[8]	ZHANG Bing-liang, ZHANG Bo-yi, WU Yao-wu, LI Jian-xiang, SUN Yong. An Approach to Evaluate the Capacity Benefits and Energy Benefits of Wind Farms Based on Probabilistic Product Simulation [J]. Electric Power, 2013, 46(8): 74-79.