Multi-objective Day-ahead Optimization Scheduling of Integrated Energy System with CCHP Considering Wind Power Consumption

doi:10.11985/2022.03.020

Abstract

Abstract:

Combined cooling, heating and power system is widely used in integrated energy system because of its high energy utilization rate. However, due to the constraint of the mode of “power determined by heat”, heating and power supply cannot be decoupled, which makes it difficult to absorb a large number of wind power. In view of the problem that a large number of wind power is not used in winter night in China, especially in the “Three North Area”, the heat pump and power to gas device are incorporated into the integrated energy system to study their role in the absorption of wind power. Taking the minimum fluctuation of the total economic cost, greenhouse gas emissions and net load of the integrated energy system as the objective function, taking into account the tie line, energy storage and power balance constraints, the Pareto multi-objective particle swarm optimization algorithm is used to solve the model, and four scenarios are set to explore the influence of heat pump and electric gas on all aspects of the system in different scenarios. The wind power consumption and load fluctuation of the system before and after adding heat pump and power to gas device are simulated and analyzed, and the effectiveness of the proposed method is verified.

Key words: Wind power consumption, peak shaving and valley filling, integrated energy system, Pareto optimization, economic dispatch

CLC Number:

TM73

CHEN Kewen, WANG Shuai, HAN Xingchen, ZHANG Zhisheng. Multi-objective Day-ahead Optimization Scheduling of Integrated Energy System with CCHP Considering Wind Power Consumption[J]. Journal of Electrical Engineering, 2022, 17(3): 170-176.

Figures/Tables 7

References 18

[1]	黎静华, 朱梦姝, 陆悦江, 等. 综合能源系统优化调度综述[J]. 电网技术, 2021, 45(6):2256-2272.
	LI Jinghua, ZHU Mengshu, LU Yuejiang, et al. A review on the optimal scheduling of integrated energy systems[J]. Power System Technology, 2021, 45(6):2256-2272.
[2]	吕佳炜, 张沈习, 程浩忠, 等. 考虑互联互动的区域综合能源系统规划研究综述[J]. 中国电机工程学报, 2021, 41(12):4001-4021.
	LÜ Jiawei, ZHANG Shenxi, CHENG Haozhong, et al. Review on district-level integrated energy system planning considering interconnection and interaction[J]. Proceedings of the CSEE, 2021, 41(12):4001-4021.
[3]	钱峰, 皮杰, 刘俊磊, 等. 微电网建模与控制理论综述[J]. 武汉大学学报, 2020, 53(12):1044-1054.
	QIAN Feng, PI Jie, LIU Junlei, et al. Review of microgrid modeling and control theory[J]. Engineering Journal of Wuhan University, 2020, 53(12):1044-1054.
[4]	崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度[J]. 电网技术, 2020, 44(11):4254-4264.
	CUI Yang, YAN Shi, ZHONG Wuzhi, et al. Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas[J]. Power System Technology, 2020, 44(11):4254-4264.
[5]	沈海平, 陈铭, 钱磊, 等. 计及电转气耦合的电-气互联系统机组组合线性模型研究[J]. 电力系统保护与控制, 2019, 47(8):34-41.
	SHEN Haiping, CHEN Ming, QIAN Lei, et al. Linear model research of unit commitment for integrated electricity and natural-gas systems considering power-to-gas coupling[J]. Power System Protection and Control, 2019, 47(8):34-41.
[6]	崔杨, 姜涛, 仲悟之, 等. 电动汽车与热泵促进风电消纳的区域综合能源系统经济调度方法[J]. 电力自动化设备, 2021, 41(2):1-7.
	CUI Yang, JIANG Tao, ZHONG Wuzhi, et al. Economic dispatch approach of RIES for electric vehicle and heat pump to promote wind power accommodation[J]. Electric Power Automation Equipment, 2021, 41(2):1-7.
[7]	崔雪, 邹晨露, 王恒, 等. 考虑风电消纳的电热联合系统源荷协调优化调度[J]. 电力自动化设备, 2018, 38(7):74-81.
	CUI Xue, ZOU Chenlu, WANG Heng, et al. Source and load coordinative optimal dispatching of combined heat and power system considering wind power accommodation[J]. Electric Power Automation Equipment, 2018, 38(7):74-81.
[8]	李杨, 刘伟佳, 赵俊华, 等. 含电转气的电-气-热系统协同调度与消纳风电效益分析[J]. 电网技术, 2016, 40(12):3680-3689.
	LI Yang, LIU Weijia, ZHAO Junhua, et al. Optimal dispatch of combined electricity-gas-heat energy systems with power-to-gas devices and benefit analysis of wind power accommodation[J]. Power System Technology, 2016, 40(12):3680-3689.
[9]	陶静, 徐武, 李逸琳, 等. 基于多目标算法的冷热电联供型综合能源系统运行优化[J]. 科学技术与工程, 2019, 19(33):200-205.
	TAO Jing, XU Wu, LI Yilin, et al. Optimal operation of integrated energy system combined cooling heating and power based on multi-objective algorithm[J]. Science Technology and Engineering, 2019, 19(33):200-205.
[10]	张运洲, 代红才, 吴潇雨, 等. 中国综合能源服务发展趋势与关键问题[J]. 中国电力, 2021, 54(2):1-10.
	ZHANG Yunzhou, DAI Hongcai, WU Xiaoyu, et al. Development trends and key issues of China’s integrated energy services[J]. Electric Power, 2021, 54(2):1-10.
[11]	屈博, 刘畅, 李德智, 等. “碳中和”目标下的电能替代发展战略研究[J]. 电力需求侧管理, 2021, 23(2):1-3,9.
	QU Bo, LIU Chang, LI Dezhi, et al. Research on the development strategy of electricity substitution under the target of “carbon neutral”[J]. Power Demand Side Management, 2021, 23(2):1-3,9.
[12]	邹才能, 熊波, 薛华庆, 等. 新能源在碳中和中的地位与作用[J]. 石油勘探与开发, 2021(2):1-10.
	ZOU Caineng, XIONG Bo, XUE Huaqing, et al. The role of new energy in carbon neutral[J]. Petroleum Exploration and Development, 2021(2):1-10.
[13]	张涛, 郭玥彤, 李逸鸿, 等. 计及电气热综合需求响应的区域综合能源系统优化调度[J]. 电力系统保护与控制, 2021, 49(1):52-61.
	ZHANG Tao, GUO Yuetong, LI Yihong, et al. Optimization scheduling of regional integrated energy systems based on electric-thermal-gas integrated demand response[J]. Power System Protection and Control, 2021, 49(1):52-61.
[14]	卫志农, 张思德, 孙国强, 等. 计及电转气的电-气互联综合能源系统削峰填谷研究[J]. 中国电机工程学报, 2017, 37(16):4601-4609,4885.
	WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2017, 37(16):4601-4609,4885.
[15]	杨玉青, 牛利勇, 田立亭, 等. 考虑负荷优化控制的区域配电网储能配置[J]. 电网技术, 2015, 39(4):1019-1025.
	YANG Yuqing, NIU Liyong, TIAN Liting, et al. Configuration of energy storage devices in regional distribution network considering optimal load control[J]. Power System Technology, 2015, 39(4):1019-1025.
[16]	尚瑨, 邰能灵, 刘琦, 等. 采用区间控制的蓄电池储能电站调峰运行控制策略[J]. 电工技术学报, 2015, 30(16):221-229.
	SHANG Jin, TAI Nengling, LIU Qi, et al. Load shifting scheme of battery energy storage system based on interval controlling[J]. Transactions of China Electrotechnical Society, 2015, 30(16):221-229.
[17]	COELLO C A C, PULIDO G T, LECHUGA M S. Handling multiple objectives with particle swarm optimization[J]. IEEE Transactions on Evolutionary Computation, 2004, 8(3):256-279. doi: 10.1109/TEVC.2004.826067
[18]	崔杨, 姜涛, 仲悟之, 等. 考虑风电消纳的区域综合能源系统源荷协调经济调度[J]. 电网技术, 2020, 44(7):2474-2483.
	CUI Yang, JIANG Tao, ZHONG Wuzhi, et al. Source-load coordination economic dispatch method for regional integrated energy system considering wind power accommodation[J]. Power System Technology, 2020, 44(7):2474-2483.

调度方式	综合成本/万元	排放气体/m³	弃风率(%)
场景1	19.50	34 732	75.94
场景2	16.12	30 325	63.06
场景3	14.55	32 109	62.30
场景4	10.72	29 737	35.62

调度方式	净负荷方差/(kW)²
场景1	63 575
场景2	43 132
场景3	43 936
场景4	30 571