Cost Modeling and Analysis of Integrated Energy Microgrid Group Participation in Frequency Regulation Auxiliary Service Market Based on CPSS

doi:10.16183/j.cnki.jsjtu.2022.460

Abstract

Abstract:

With the implementation of the carbon peaking and carbon neutrality strategy, the proportion of new energy in the power system continues to increase, while the frequency regulation ability of the system gradually decreases. To address this problem, this paper studies the participation of distributed integrated energy microgrid group in frequency regulation auxiliary service. First, based on the concept of microgrid individuals participation in frequency regulation market after aggregation, the mode of integrated energy microgrid participating in frequency regulation auxiliary service market is described. Then, a cyber-physical-social system (CPSS) of integrated energy microgrid group is established. Based on this model, the frequency regulation cost of microgrid group is calculated. The cost model considers multiple frequency regulation modes, and classifies the social attributes of microgrid by using the grey weighted clustering method to simulate and analyze the willingness and probability value of microgrid individuals to participate in the frequency regulation market. Afterwards, based on Monte Carlo simulation, the cost calculation method for microgrid aggregators to participate in the frequency regulation auxiliary service is proposed, which provides the basis for aggregators to participate in the frequency regulation market quotation. Finally, an aggregator with five integrated energy microgrids is simulated and analyzed, and the curve of its frequency regulation cost is obtained. The simulation results show that the impact of the social attributes of the individual microgrid on the frequency regulation cost of the aggregator can reach 6.921%, so the uncertainty risk caused by the social attributes of the microgrid should be fully considered in the bidding process.

Key words: integrated energy microgrid group, frequency regulation auxiliary service, frequency regulation cost, cyber-physical-social system (CPSS), social attribute modeling

CLC Number:

TM731

LI Zhenkun, YU Qiuyang, WEI Yanjun, TIAN Shuxin. Cost Modeling and Analysis of Integrated Energy Microgrid Group Participation in Frequency Regulation Auxiliary Service Market Based on CPSS[J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 893-903.

Figures/Tables 11

Fig.1

Fig.2

Fig.3

Fig.4

Tab.1

Fig.5

Tab.2

Fig.6

Tab.3

Weighted grey clustering coefficient and rationality degree of integrated energy microgrid

微网	$σ i 1$	$σ i 2$	$σ i 3$	max $σ i k$	理性程度
1	0	0.0929	0.9071	$σ 13$ =0.9071	完全理性
2	0	0.7518	0.2482	$σ 22$ =0.7518	有限理性
3	0.7615	0.2385	0	$σ 31$ =0.7618	完全非理性
4	0.0006	0.7145	0.2793	$σ 42$ =0.7145	有限理性
5	0.0154	0.614	0.3744	$σ 52$ =0.614	有限理性

Tab.3

Tab.4

Fig.7

References 24

[1]	别朝红, 王旭, 胡源. 能源互联网规划研究综述及展望[J]. 中国电机工程学报, 2017, 37(22): 6445-6462.
	BIE Zhaohong, WANG Xu, HU Yuan. Review and prospect of planning of energy Internet[J]. Proceedings of the CSEE, 2017, 37 (22): 6445-6462.
[2]	孙宏斌, 郭庆来, 潘昭光. 能源互联网: 理念、架构与前沿展望[J]. 电力系统自动化, 2015, 39(19): 1-8.
	SUN Hongbin, GUO Qinglai, PAN Zhaoguang. Energy Internet: Concept, architecture and frontier outlook[J]. Automation of Electric Power Systems, 2015, 39(19): 1-8.
[3]	梁才浩, 段献忠. 分布式发电及其对电力系统的影响[J]. 电力系统自动化, 2001, 25(12): 53-56.
	LIANG Caihao, DUAN Xianzhong. Distributed generation and its impact on power system[J]. Automation of Electric Power Systems, 2001, 25(12): 53-56.
[4]	耿健, 杨冬梅, 高正平, 等. 含储能的冷热电联供分布式综合能源微网优化运行[J]. 电力工程技术, 2021, 40(1): 25-32.
	GENG Jian, YANG Dongmei, GAO Zhengping, et al. Optimal operation of distributed integrated energy microgrid with CCHP considering energy storage[J]. Electric Power Engineering Technology, 2021, 40(1): 25-32.
[5]	葛少云, 曹雨晨, 刘洪, 等. 考虑可靠性约束的综合能源微网供能能力评估[J]. 电力系统自动化, 2020, 44(7): 31-37.
	GE Shaoyun, CAO Yuchen, LIU Hong, et al. Evaluation of energy supply capability for multi-energy microgrid considering reliability constraint[J]. Automation of Electric Power Systems, 2020, 44(7): 31-37.
[6]	李军徽, 侯涛, 严干贵, 等. 计及调频成本和荷电状态恢复的多储能系统调频功率双层优化[J]. 中国电机工程学报, 2021, 41(23): 8020-8033.
	LI Junhui, HOU Tao, YAN Gangui, et al. Two-layer optimization of frequency modulation power in multi-battery energy storage system considering frequency modulation cost and recovery of state of charge[J]. Proceedings of the CSEE, 2021, 41(23): 8020-8033.
[7]	马恒瑞, 王波, 高文忠, 等. 区域综合能源系统中储能设备参与辅助服务的运行优化[J]. 电力系统自动化, 2019, 43(8): 34-40.
	MA Hengrui, WANG Bo, GAO Wenzhong, et al. Operation optimization of energy storage equipment participating in auxiliary service in regional integrated energy system[J]. Automation of Electric Power Systems, 2019, 43(8): 34-40.
[8]	肖云鹏, 张兰, 张轩, 等. 包含独立储能的现货电能量与调频辅助服务市场出清协调机制[J]. 中国电机工程学报, 2020, 40(Sup.1): 167-180.
	XIAO Yunpeng, ZHANG Lan, ZHANG Xuan, et al. The coordinated market clearing mechanism for spot electric energy and regulating ancillary service incorporating independent energy storage resources[J]. Proceedings of the CSEE, 2020, 40(Sup.1): 167-180.
[9]	袁桂丽, 苏伟芳. 计及电动汽车不确定性的虚拟电厂参与AGC调频服务研究[J]. 电网技术, 2020, 44(7): 2538-2548.
	YUAN Guili, SU Weifang. Virtual power plants providing AGC FM service considering uncertainty of electric vehicles[J]. Power System Technology, 2020, 44(7): 2538-2548.
[10]	陈雯, 孙荣峰, 邱靖, 等. 考虑电池寿命的虚拟电厂调频竞标模型及合作利润分配策略[J]. 全球能源互联网, 2020, 3(4): 374-384.
	CHEN Wen, SUN Rongfeng, QIU Jing, et al. Profit allocation and frequency regulation bidding strategy of virtual power plant considering battery life[J]. Journal of Global Energy Interconnection, 2020, 3 (4): 374-384.
[11]	李嘉媚, 艾芊, 殷爽睿. 虚拟电厂参与调峰调频服务的市场机制与国外经验借鉴[J]. 中国电机工程学报, 2022, 42(1): 37-56.
	LI Jiamei, AI Qian, YIN Shuangrui. Market mechanism and foreign experience of virtual power plant participating in peak-regulation and frequency-regulation[J]. Proceedings of the CSEE, 2022, 42(1): 37-56.
[12]	陆凌蓉, 文福拴, 薛禹胜, 等. 电动汽车提供辅助服务的经济性分析[J]. 电力系统自动化, 2013, 37(14): 43-49.
	LU Lingrong, WEN Fushuan, XUE Yusheng, et al. Economic analysis of ancillary service provision by plug-in electric vehicles[J]. Automation of Electric Power Systems, 2013, 37(14): 43-49.
[13]	董锴, 蔡新雷, 崔艳林, 等. 基于马尔科夫链的电动汽车聚合建模及多模式调频控制策略[J]. 电网技术, 2022, 46(2): 622-634.
	DONG Kai, CAI Xinlei, CUI Yanlin, et al. Aggregation modeling based on Markov chain and multi-mode control strategies of aggregated electric vehicles for frequency regulation[J]. Power System Technology, 2022, 46(2): 622-634.
[14]	马恒瑞, 王波, 高文忠, 等. 考虑调频补偿效果的区域综合能源系统调频服务优化策略[J]. 电力系统自动化, 2018, 42(13): 127-135.
	MA Hengrui, WANG Bo, GAO Wenzhong, et al. Optimization strategy for frequency regulation service of regional integrated energy systems considering compensation effect of frequency regulation[J]. Automation of Electric Power Systems, 2018, 42(13): 127-135.
[15]	李永刚, 孙浩潮, 周一辰, 等. 考虑新增电动汽车充放电中断风险的聚合商调频辅助服务投标策略[J]. 电力自动化设备, 2022, 42(10): 3-12.
	LI Yonggang, SUN Haochao, ZHOU Yichen, et al. Bidding strategy of FM auxiliary service of aggregator considering the risk of charging and discharging interruption of new electric vehicles[J]. Electric Power Automation Equipment, 2022, 42(10): 3-12.
[16]	吴洲洋, 艾欣, 胡俊杰. 电动汽车聚合商参与调频备用的调度方法与收益分成机制[J]. 电网技术, 2021, 45(3): 1041-1050.
	WU Zhouyang, AI Xin, HU Junjie. Dispatching and income distributing of electric vehicle aggregators’ participation in frequency regulation[J]. Power System Technology, 2021, 45(3): 1041-1050.
[17]	SHEN Y W, LI Y, ZHANG Q W, et al. State-shift priority based progressive load control of residential HVAC units for frequency regulation[J]. Electric Power Systems Research, 2020, 182: 106194.
[18]	LIU H, HUANG K, WANG N, et al. Optimal dispatch for participation of electric vehicles in frequency regulation based on area control error and area regulation requirement[J]. Applied Energy, 2019, 240: 46-55.
[19]	国家能源局江苏监管办公室, 江苏省发展和改革委员会. 江苏省电力辅助服务(调频)市场交易规则(试行)[EB/OL]. (2020-06-30)[2022-08-24]. http://jsb.nea.gov.cn/news/2020-7/202073154200.htm.
	Jiangsu Regulatory Office of the National Energy Administration, Jiangsu Provincial Development and Reform Commission. Jiangsu electric power auxiliary service (FR) market trading rules (trial)[EB/OL]. (2020-06-30)[2022-08-24]. http://jsb.nea.gov.cn/news/2020-7/202073154200.htm.
[20]	陈渊睿, 徐铭康, 曾君, 等. 基于平行CPSS的电动汽车参与储能汇聚复用建模与分析[J]. 控制与决策, 2019, 34(11): 2428-2437.
	CHEN Yuanrui, XU Mingkang, ZENG Jun, et al. Modelling and analysis of electric vehicles participating in the convergence and multiplexing of energy storage system based on parallel CPSS[J]. Control & Decision, 2019, 34(11): 2428-2437.
[21]	王振刚, 陈渊睿, 曾君, 等. CPSS架构下基于“引导信息”和平行控制的社区微电网能量管理方法[J]. 中国电机工程学报, 2020, 40(21): 6864-6875.
	WANG Zhengang, CHEN Yuanrui, ZENG Jun, et al. A CPSS solution to energy management in community microgrid based on guiding cues and parallel control[J]. Proceedings of the CSEE, 2020, 40(21): 6864-6875.
[22]	ZHANG X S, YU T, XU Z, et al. A cyber-physical-social system with parallel learning for distributed energy management of a microgrid[J]. Energy, 2018, 165: 205-221.
[23]	陈中飞, 荆朝霞, 陈达鹏, 等. 美国调频辅助服务市场的定价机制分析[J]. 电力系统自动化, 2018, 42(12): 1-10.
	CHEN Zhongfei, JING Zhaoxia, CHEN Dapeng, et al. Analysis on pricing mechanism in frequency regulation ancillary service market of United States[J]. Automation of Electric Power Systems, 2018, 42(12): 1-10.
[24]	贾志超, 黄华州, 黄绍博, 等. 基于AHP-熵权法的采动区煤层气开发潜力评价[J]. 煤田地质与勘探, 2021, 49(2): 117-124.
	JIA Zhichao, HUANG Huazhou, HUANG Shaobo, et al. Evaluation of the development potential of the coalbed methane resources in mining area based on AHP-entropy method[J]. Coal Geology & Exploration, 2021, 49(2): 117-124.

微网	燃气轮机		燃气锅炉		电储能		热储能
微网	功率/kW	台数	功率/kW	台数	功率/kW	台数	功率/kW	台数
1	800	2	800	1	100	3	100	2
2	750	2	700	1	150	3	100	2
3	700	2	700	1	150	4	125	3
4	700	2		0	150	3		0
5	750	2	600	1	100	3	150	2

成本类型	调频前运行状态/MW	调频后功率变化量/MW	调频成本/元	机会成本/元
燃气轮机	0.67	0.65	39.81	3.38
燃气锅炉	0.6	-0.6	-11.59
电储能	0	0.3	11.06	0
热储能	0	-0.22	-3.41
可调负荷	0.4	-0.05	8.33
机组启停			0
总成本		47.58

微网	C_gt	C_gb	C_s	C_lo	C_co	C_total
1	39.81	-11.59	7.65	3.38	8.33	47.58
2	30.14	-8.69	12.32	2.77	7.91	44.45
3	21.43	-5.27	18.54	2.52	3.33	40.55
4	31.36	0	15.87	3.14	5.46	55.83
5	38.58	-11.53	6.67	3.42	8.33	45.47