Optimal Scheduling Strategy for Virtual Power Plant Considering Electricity-Gas-Heat Coupling and Demand Response

doi:10.11930/j.issn.1004-9649.202309050

Abstract

Abstract:

The combined heat and power (CHP) units can not meet the maximum heating efficiency and power peak shaving demand in winter at the same time, and there exit problems of insufficient power generation output regulation ability. In view of the above problems, an optimal scheduling strategy for virtual power plant (VPP) is proposed considering electricity-gas-thermal energy coupling and demand response. Firstly, in order to improve the downward peak shaving capacity of CHP units, the P2G equipment and carbon capture technology are introduced to construct a new CHP coupling model. Secondly, in order to improve the operation flexibility of the system, considering the peak-valley time-of-use electricity price and heat price, a comprehensive demand response mechanism is established. And then, in order to reduce the generation cost of the system, the electric and thermal energy storage devices are introduced, and a VPP bi-level optimization model is established with the goal of minimizing the total cost of the system and the operation cost of the electric and thermal energy storage devices. According to the Karush-Kuhn-Tucher ( KKT ) condition of the lower-level optimization model, the bi-level model is transformed into a single level and linearized for solution. The results show that the carbon emissions, operation cost and new energy consumption rate of the proposed method are optimal, which improves the downward peak shaving capacity of the CHP units and meets the low-carbon and economic requirements of the system.

Key words: heat and power coupling, electric-thermal energy storage, demand response, bi-level optimization, virtual power plant

Shijie WANG, Tianbo FENG, Ning SUN, Ke HE, Jiawen LI, Cheng YANG, Haoyang CUI. Optimal Scheduling Strategy for Virtual Power Plant Considering Electricity-Gas-Heat Coupling and Demand Response[J]. Electric Power, 2024, 57(1): 101-114.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202309050

https://www.electricpower.com.cn/EN/Y2024/V57/I1/101

Figures/Tables 12

Fig.1 Virtual power plant system structure

Fig.2 Comparison of PCC and CHP operation characteristics

Fig.3 The operating characteristic curve of PCC model

Fig.4 The solving process of the bi-level optimization model

Fig.5 Forecast curves of wind power, photovoltaic output and multi-load demand

Fig.6 The time-of-use electric heating price curve

Fig.7 Comparison of power output of cogeneration units

Table 1 Scheduling results of different methods

项目	模式1	模式2	模式3	模式4
风电利用率/%	64.45	91.46	97.24	98.37
光伏利用率/%	65.43	74.75	100.00	100.00
碳排放量/t	1382.65	1376.09	1246.97	1230.24
VPP运行成本/元	537792.14	533556.79	435768.54	403244.09
热电机组成本/元	64309.70	98940.94	81200.49	75478.69
MT成本/元	90435.45	97438.67	105081.20	105175.28
电制冷机成本/元	16445.10	15772.40	12509.42	11715.27
碳交易成本/元	43378.30	43194.20	39135.53	38510.22
弃风弃光成本/元	309780.03	112570.50	11976.44	7055.58
购电购气成本/元	9346.84	3702.28	0	0
VPP系统收益/元	3846.18	5222.37	7752.12	9127.76

Fig.8 VPP internal unit scheduling result

Fig.9 P2G power consumption and carbon capture of CCS system

Fig.10 Optimization results of electric-thermal demand response

Fig.11 Optimal operation results of electric and thermal energy storage

References 31

1	康重庆, 杜尔顺, 李姚旺, 等. 新型电力系统的“碳视角”: 科学问题与研究框架[J]. 电网技术, 2022, 46 (3): 821- 833.
	KANG Chongqing, DU Ershun, LI Yaowang, et al. Key scientific problems and research framework for carbon perspective research of new power systems[J]. Power System Technology, 2022, 46 (3): 821- 833.
2	王小惠, 何兆禹, 徐超, 等. 斜温层单罐储热同时蓄放热过程动态特性模拟[J]. 中国电机工程学报, 2019, 39 (20): 5989- 5998, 6179.
	WANG Xiaohui, HE Zhaoyu, XU Chao, et al. Dynamic simulations on simultaneous charging/discharging process of water thermocline storage tank[J]. Proceedings of the CSEE, 2019, 39 (20): 5989- 5998, 6179.
3	陈国平, 董昱, 梁志峰. 能源转型中的中国特色新能源高质量发展分析与思考[J]. 中国电机工程学报, 2020, 40 (17): 5493- 5506.
	CHEN Guoping, DONG Yu, LIANG Zhifeng. Analysis and reflection on high-quality development of new energy with Chinese characteristics in energy transition[J]. Proceedings of the CSEE, 2020, 40 (17): 5493- 5506.
4	FANG T T, LAHDELMA R. Optimization of combined heat and power production with heat storage based on sliding time window method[J]. Applied Energy, 2016, 162, 723- 732. DOI
5	LORESTANI A, ARDEHALI M M. Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm[J]. Renewable Energy, 2018, 119, 490- 503. DOI
6	袁桂丽, 王琳博, 王宝源. 基于虚拟电厂“热电解耦” 的负荷优化调度及经济效益分析[J]. 中国电机工程学报, 2017, 37 (17): 4974- 4985, 5217.
	YUAN Guili, WANG Linbo, WANG Baoyuan. Optimal dispatch of heat-power load and economy benefit analysis based on decoupling of heat and power of virtual power plant[J]. Proceedings of the CSEE, 2017, 37 (17): 4974- 4985, 5217.
7	董洁, 乔建强. “双碳” 目标下先进煤炭清洁利用发电技术研究综述[J]. 中国电力, 2022, 55 (8): 202- 212.
	DONG Jie, QIAO Jianqiang. A review on advanced clean coal power generation technology under "carbon peaking and carbon neutrality" goal[J]. Electric Power, 2022, 55 (8): 202- 212.
8	NI L N, LIU W J, WEN F S, et al. Optimal operation of electricity, natural gas and heat systems considering integrated demand responses and diversified storage devices[J]. Journal of Modern Power Systems and Clean Energy, 2018: 423–437.
9	HE L C, LU Z G, ZHANG J F, et al. Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas[J]. Applied Energy, 2018, 224, 357- 370. DOI
10	CLEGG S, MANCARELLA P. Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems[J]. IEEE Transactions on Sustainable Energy, 2016, 7 (2): 718- 731. DOI
11	何晓洋, 刘淼, 李健, 等. 基于需求侧响应的区域综合能源系统的低碳经济调度[J]. 高电压技术, 2023, 49 (3): 1140- 1149.
	HE Xiaoyang, LIU Miao, LI Jian, et al. Low-carbon economic dispatch of regional integrated energy system based on demand side response[J]. High Voltage Engineering, 2023, 49 (3): 1140- 1149.
12	邓盛盛, 陈皓勇, 肖东亮, 等. 发电商参与碳市场与电力中长期市场联合决策模型[J]. 电力系统保护与控制, 2022, 50 (22): 1- 10.
	DENG Shengsheng, CHEN Haoyong, XIAO Dongliang, et al. A joint decision making model for power generators to participate in the carbon market and the medium-and long-term power markets[J]. Power System Protection and Control, 2022, 50 (22): 1- 10.
13	杨柳, 张超, 蒋勃, 等. 考虑用户满意度的虚拟电厂热电联合低碳经济调度模型[J]. 热力发电, 2019, 48 (9): 40- 45.
	YANG Liu, ZHANG Chao, JIANG Bo, et al. A combined low-carbon economic dispatching model for virtual power plant considering customer satisfaction index[J]. Thermal Power Generation, 2019, 48 (9): 40- 45.
14	卢志刚, 郭凯, 闫桂红, 等. 考虑需求响应虚拟机组和碳交易的含风电电力系统优化调度[J]. 电力系统自动化, 2017, 41 (15): 58- 65.
	LU Zhigang, GUO Kai, YAN Guihong, et al. Optimal dispatch of power system integrated with wind power considering virtual generator units of demand response and carbon trading[J]. Automation of Electric Power Systems, 2017, 41 (15): 58- 65.
15	崔杨, 邓贵波, 曾鹏, 等. 计及碳捕集电厂低碳特性的含风电电力系统源-荷多时间尺度调度方法[J]. 中国电机工程学报, 2022, 42 (16): 5869- 5886, 6163.
	CUI Yang, DENG Guibo, ZENG Peng, et al. Multi-time scale source-load dispatch method of power system with wind power considering low-carbon characteristics of carbon capture power plant[J]. Proceedings of the CSEE, 2022, 42 (16): 5869- 5886, 6163.
16	史喆, 金宇飞, 王勇, 等. 基于用户舒适度区间约束的电热区域综合能源系统优化运行研究[J]. 电力系统保护与控制, 2022, 50 (20): 168- 177.
	SHI Zhe, JIN Yufei, WANG Yong, et al. Optimal operation of an electric heating region integrated energy system based on a user comfort interval constraint[J]. Power System Protection and Control, 2022, 50 (20): 168- 177.
17	陈家兴, 王春玲, 刘春明. 基于改进碳排放流理论的电力系统动态低碳调度方法[J]. 中国电力, 2023, 56 (3): 162- 172.
	CHEN Jiaxing, WANG Chunling, LIU Chunming. Dynamic low-carbon dispatching method of power system based on improved carbon emission flow theory[J]. Electric Power, 2023, 56 (3): 162- 172.
18	XIONG J J, SUN Y H, WANG J X, et al. Multi-stage equipment optimal configuration of park-level integrated energy system considering flexible loads[J]. International Journal of Electrical Power & Energy Systems, 2022, 140, 108050.
19	钟永洁, 孙永辉, 王庭华, 等. 电热气互联能源系统动态环保经济协同灵活性调度[J]. 电网技术, 2020, 44 (7): 2457- 2469.
	ZHONG Yongjie, SUN Yonghui, WANG Tinghua, et al. Dynamic environmental economic and collaborative flexibility dispatch of integrated power, heat and natural gas energy system[J]. Power System Technology, 2020, 44 (7): 2457- 2469.
20	邓杰, 姜飞, 王文烨, 等. 考虑电热柔性负荷与氢能精细化建模的综合能源系统低碳运行[J]. 电网技术, 2022, 46 (5): 1692- 1704.
	DENG Jie, JIANG Fei, WANG Wenye, et al. Low-carbon optimized operation of integrated energy system considering electric-heat flexible load and hydrogen energy refined modeling[J]. Power System Technology, 2022, 46 (5): 1692- 1704.
21	CHEN Z X, ZHANG Y J, JI T Y, et al. Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded[J]. Journal of Modern Power Systems and Clean Energy, 2018: 495–508.
22	SABOORI H, HEMMATI R. Considering carbon capture and storage in electricity generation expansion planning[J]. IEEE Transactions on Sustainable Energy, 2016, 7 (4): 1371- 1378. DOI
23	孙惠娟, 刘昀, 彭春华, 等. 计及电转气协同的含碳捕集与垃圾焚烧虚拟电厂优化调度[J]. 电网技术, 2021, 45 (9): 3534- 3545.
	SUN Huijuan, LIU Yun, PENG Chunhua, et al. Optimization scheduling of virtual power plant with carbon capture and waste incineration considering power-to-gas coordination[J]. Power System Technology, 2021, 45 (9): 3534- 3545.
24	袁桂丽, 刘骅骐, 禹建芳, 等. 含碳捕集热电机组的虚拟电厂热电联合优化调度[J]. 中国电机工程学报, 2022, 42 (12): 4440- 4449.
	YUAN Guili, LIU Huaqi, YU Jianfang, et al. Combined heat and power optimal dispatching in virtual power plant with carbon capture cogeneration unit[J]. Proceedings of the CSEE, 2022, 42 (12): 4440- 4449.
25	YANG D S, TANG Q, ZHOU B W, et al. District energy system modeling and optimal operation considering CHP units dynamic response to wind power ramp events[J]. Sustainable Cities and Society, 2020, 63, 102449. DOI
26	MA Y M, WANG H X, HONG F, et al. Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system[J]. Energy, 2021, 236, 121392. DOI
27	THIMMAPURAM P R, KIM J. Consumers' price elasticity of demand modeling with economic effects on electricity markets using an agent-based model[J]. IEEE Transactions on Smart Grid, 2013, 4 (1): 390- 397. DOI
28	YU S M, FAN Y, ZHU L, et al. Modeling the emission trading scheme from an agent-based perspective: system dynamics emerging from firms’ coordination among abatement options[J]. European Journal of Operational Research, 2020, 286 (3): 1113- 1128. DOI
29	吴盛军, 李群, 刘建坤, 等. 基于储能电站服务的冷热电多微网系统双层优化配置[J]. 电网技术, 2021, 45 (10): 3822- 3832.
	WU Shengjun, LI Qun, LIU Jiankun, et al. Bi-level optimal configuration for combined cooling heating and power multi-microgrids based on energy storage station service[J]. Power System Technology, 2021, 45 (10): 3822- 3832.
30	FANG X, LI F X, WEI Y L, et al. Strategic scheduling of energy storage for load serving entities in locational marginal pricing market[J]. IET Generation, Transmission & Distribution, 2016, 10 (5): 1258- 1267.
31	李淋, 徐青山, 王晓晴, 等. 基于共享储能电站的工业用户日前优化经济调度[J]. 电力建设, 2020, 41 (5): 100- 107.
	LI Lin, XU Qingshan, WANG Xiaoqing, et al. Optimal economic scheduling of industrial customers on the basis of sharing energy-storage station[J]. Electric Power Construction, 2020, 41 (5): 100- 107.

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