虚拟电厂基础特征内涵与发展现状概述

doi:10.3969/j.issn.2097-0706.2022.06.003

摘要/Abstract

摘要：

在国家“30·60”战略推动下,虚拟电厂成为开展新型电力系统建设、解决能源变革的重要手段,是实现“双碳”目标的一个重要发展方向,为新能源电力的安全高效利用开辟了一条新的路径。首先,对虚拟电厂的内涵概念进行阐述,并在此基础上分析了我国虚拟电厂产生的客观大背景,结合目前我国虚拟电厂的外部政策环境剖析了当前虚拟电厂的主流业务板块;然后,简要介绍了国内外已经开展的虚拟电厂应用案例,进而归纳出虚拟电厂当前和未来快速发展所必须的可控资源、关键技术、市场机制等支撑要素;其次,对虚拟电厂的3个发展阶段进一步阐述,并对我国虚拟电厂发展中的现实问题进行了概况分析;最后,在完成对虚拟电厂基础特征内涵与发展现状概述的基础上对虚拟电厂在未来的发展进行了展望。

关键词: 虚拟电厂, 碳中和, 需求响应, 能源互联网, 可控资源, 新型电力系统, 综合能源, 储能

Abstract:

To achieve the "30·60" goal,virtual power plants have been taken as an important measure to construct a new power system and complete energy transformation. It is also the development direction for the safe and efficient utilization of new energy. The connotation and overall characteristics of virtual power plants are introduced. And against the backdrop of the status quo in China, the main business segments of a virtual power plant and its political environment are expounded. Given the existing cases home and abroad, the supporting elements including controllable resources,key technologies and market mechanism for the rapid development of virtual power plants are summarized. Then, the problems in the promotion of virtual power plants in China are summarized based on the three development phases. Based on the understanding on the connotation and basic characteristics,it is believed that virtual power plants are promising in integrated application with digitalization,intelligentization,cloud sharing,artificial intelligence,big data,Internet of Things and other technologies.

Key words: virtual power plant, carbon neutrality, demand response, Energy Internet, controllable resources, new power system, integrated energy, energy storage

中图分类号:

TK01：TM73

钟永洁, 纪陵, 李靖霞, 蒋衍君, 吴世伟, 王紫东. 虚拟电厂基础特征内涵与发展现状概述[J]. 综合智慧能源, 2022, 44(6): 25-36.

ZHONG Yongjie, JI Ling, LI Jingxia, JIANG Yanjun, WU Shiwei, WANG Zidong. Overview on the characteristics,connotation and development status of virtual power plants in China[J]. Integrated Intelligent Energy, 2022, 44(6): 25-36.

图/表 5

参考文献 43

[1]	HUI H X, DING Y, SHI Q X, et al. 5G network-based Internet of Things for demand response in smart grid:A survey on application potential[J]. Applied Energy, 2020, 257:113972-113986. doi: 10.1016/j.apenergy.2019.113972
[2]	张凯杰, 丁国锋, 闻铭, 等. 虚拟电厂的优化调度技术与市场机制设计综述[J]. 综合智慧能源, 2022, 44(2):60-72. doi: 10.3969/j.issn.2097-0706.2022.02.009
	ZHANG Kaijie, DING Guofeng, WEN Ming, et al. Review of optimal dispatching technology and market mechanism design for virtual power plants[J]. Integrated Intelligent Energy, 2022, 44(2):60-72. doi: 10.3969/j.issn.2097-0706.2022.02.009
[3]	林毓军, 苗世洪, 杨炜晨, 等. 面向多重不确定性环境的虚拟电厂日前优化调度策略[J]. 电力自动化设备, 2021, 41(12):143-150.
	LIN Yujun, MIAO Shihong, YANG Weichen, et al. Day-ahead optimal scheduling strategy of virtual power plant for environment with multiple uncertainties[J]. Electric Power Automation Equipment, 2021, 41(12):143-150.
[4]	邹云阳, 杨莉. 基于经典场景集的风光水虚拟电厂协同调度模型[J]. 电网技术, 2015, 39(7):1855-1859.
	ZOU Yunyang, YANG Li. Synergetic dispatch models of a wind/PV/hydro virtual power plant based on representative scenario set[J]. Power System Technology, 2015, 39(7):1855-1859.
[5]	刘东, 樊强, 尤宏亮, 等. 泛在电力物联网下虚拟电厂的研究现状与展望[J]. 工程科学与技术, 2020, 52(4):3-12.
	LIU Dong, FAN Qiang, YOU Hongliang, et al. Research status and trends of virtual power plants under electrical Internet of Things[J]. Advanced Engineering Sciences, 2020, 52(4):3-12.
[6]	刘方, 徐耀杰, 杨秀, 等. 考虑电能交互共享的虚拟电厂集群多时间尺度协调运行策略[J]. 电网技术, 2022, 46(2):642-656.
	LIU Fang, XU Yaojie, YANG Xiu, et al. Multi-time scale coordinated operation strategy of virtual power plant clusters considering power interactive sharing[J]. Power System Technology, 2022, 46(2):642-656.
[7]	艾芊. 虚拟电厂——能源互联网的终极组态[M]. 北京: 科学出版社, 2018.
[8]	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):2458-2470.
	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):2458-2470.
[9]	BHUIYAN E A, HOSSAIN M Z, MUYEEN S M, et al. Towards next generation virtual power plant:Technology review and frameworks[J]. Renewable and Sustainable Energy Reviews, 2021, 150:111358. doi: 10.1016/j.rser.2021.111358
[10]	刘思源, 艾芊, 郑建平, 等. 多时间尺度的多虚拟电厂双层协调机制与运行策略[J]. 中国电机工程学报, 2018, 38(3):753-761.
	LIU Siyuan, AI Qian, ZHENG Jianping, et al. Bi-level coordination mechanism and operation strategy of multi-time scale multiple virtual power plants[J]. Proceedings of the CSEE, 2018, 38(3):753-761.
[11]	徐峰, 何宇俊, 李建标, 等. 考虑需求响应的虚拟电厂商业机制研究综述[J]. 电力需求侧管理, 2019, 21(3):2-6.
	XU Feng, HE Yujun, LI Jianbiao, et al. Review of research on commercial mechanism for virtual power plant considering demand response[J]. Power Demand Side Management, 2019, 21(3):2-6.
[12]	张涛, 王成, 王凌云, 等. 考虑虚拟电厂参与的售电公司双层优化调度模型[J]. 电网技术, 2019, 43(3):952-960.
	ZHANG Tao, WANG Cheng, WANG Lingyun, et al. A bi-level optimal dispatching model of electricity retailers integrated with VPPs[J]. Power System Technology, 2019, 43(3):952-960.
[13]	CHEN T, ZHANG B, POURBABAK H, et al. Optimal routing and charging of an electric vehicle fleet for high-efficiency dynamic transit systems[J]. IEEE Transactions on Smart Grid, 2018, 9(4):3563-3572. doi: 10.1109/TSG.2016.2635025
[14]	钟永洁, 李玉平, 胡兵, 等. 基于合作博弈的能源互联网经济能效分层协同优化调度[J]. 电力自动化设备, 2022, 42(1):55-64.
	ZHONG Yongjie, LI Yuping, HU Bing, et al. Hierarchical collaborative optimal scheduling of economy energy efficiency in Energy Internet based on cooperative game[J]. Electric Power Automation Equipment, 2022, 42(1):55-64.
[15]	LI W, LIN Z, ZHOU H, et al. Multi-objective optimization for cyber-physical-social systems:A case study of electric vehicles charging and discharging[J]. IEEE Access, 2019(7):76754-76767.
[16]	袁桂丽, 贾新潮, 房方, 等. 虚拟电厂源荷双侧热电联合随机优化调度[J]. 电网技术, 2020, 44(8):2932-2940.
	YUAN Guili, JIA Xinchao, FANG Fang, et al. Joint stochastic optimal scheduling of heat and power considering source-side and load-side of virtual power plant[J]. Power System Technology, 2020, 44(8):2932-2940.
[17]	张亚朋, 穆云飞, 贾宏杰, 等. 电动汽车虚拟电厂的多时间尺度响应能力评估模型[J]. 电力系统自动化, 2019, 43(12):94-103.
	ZHANG Yapeng, MU Yunfei, JIA Hongjie, et al. Response capability evaluation model with multiple time scales for electric vehicle virtual power plant[J]. Automation of Electric Power Systems, 2019, 43(12):94-103.
[18]	XIE K, HUI H X, DING Y. Review of modeling and control strategy of thermostatically controlled loads for virtual energy storage system[J]. Protection and Control of Modern Power Systems, 2019, 4(1):1-13. doi: 10.1186/s41601-019-0115-7
[19]	彭院院, 周任军, 李斌, 等. 计及光热发电特性的光-风-火虚拟电厂双阶段优化调度[J]. 电力系统及其自动化学报, 2020, 32(4):21-28.
	PENG Yuanyuan, ZHOU Renjun, LI Bin, et al. Two-stage optimal dispatch model for solar-wind-thermal virtual power plant considering the characteristic of concentrating solar power[J]. Proceedings of the CSU-EPSA, 2020, 32(4):21-28.
[20]	周任军, 徐健, 王仰之, 等. 利用市场交易奖惩措施的风电-垃圾焚烧虚拟电厂优化运行[J]. 电力系统及其自动化学报, 2020, 32(10):90-96.
	ZHOU Renjun, XU Jian, WANG Yangzhi, et al. Optimized operation of virtual power plant with wind power and waste incineration based on market trading incentives[J]. Proceedings of the CSU-EPSA, 2020, 32(10):90-96.
[21]	李旭东, 艾欣, 胡俊杰, 等. 计及碳交易机制的核-火-虚拟电厂三阶段联合调峰策略研究[J]. 电网技术, 2019, 43(7):2460-2470.
	LI Xudong, AI Xin, HU Junjie, et al. Three-stage combined peak regulation strategy for nuclear-thermal-virtual power plant considering carbon trading mechanism[J]. Power System Technology, 2019, 43(7):2460-2470.
[22]	王宣元, 刘敦楠, 刘蓁, 等. 泛在电力物联网下虚拟电厂运营机制及关键技术[J]. 电网技术, 2019, 43(9):3175-3183.
	WANG Xuanyuan, LIU Dunnan, LIU Zhen, et al. Operation mechanism and key technologies of virtual power plant under ubiquitous internet of things[J]. Power System Technology, 2019, 43(9):3175-3183.
[23]	何奇琳, 艾芊. 售电侧放开环境下含需求响应虚拟电厂的电力市场竞价策略[J]. 电力建设, 2019, 40(2):1-10.
	HE Qilin, AI Qian. Bidding strategy of electricity market including virtual power plant considering demand response under retail power market deregulation[J]. Electric Power Construction, 2019, 40(2):1-10.
[24]	LUO Z, HONG S H, DING Y M. A data mining-driven incentive-based demand response scheme for a virtual power plant[J]. Applied Energy, 2019, 239:549-559. doi: 10.1016/j.apenergy.2019.01.142
[25]	叶季蕾, 李斌, 张宇, 等. 基于全球能源互联网典型特征的储能需求及配置分析[J]. 发电技术, 2021, 42(1):20-30.
	YE Jilei, LI Bin, ZHANG Yu, et al. Energy storage requirements and configuration analysis based on typical characteristics of global energy internet[J]. Power Generation Technology, 2021, 42(1):20-30.
[26]	齐军, 杨帅帅, 张红光, 等. 基于机会约束规划的含储能虚拟电厂调度模型[J]. 工业技术创新, 2019, 6(1):70-76.
	QI Jun, YANG Shuaishuai, ZHANG Hongguang, et al. Dispatch model for energy storage virtual power plant based on chance constrained programming[J]. Industrial Technology Innovation, 2019, 6(1):70-76.
[27]	卫志农, 陈妤, 黄文进, 等. 考虑条件风险价值的虚拟电厂多电源容量优化配置模型[J]. 电力系统自动化, 2018, 42(4):39-46.
	WEI Zhinong, CHEN Yu, HUANG Wenjin, et al. Optimal allocation model for multi-energy capacity of virtual power plant considering conditional value-at-risk[J]. Automation of Electric Power Systems, 2018, 42(4):39-46.
[28]	吕梦璇, 娄素华, 刘建琴, 等. 含高比例风电的虚拟电厂多类型备用协调优化[J]. 中国电机工程学报, 2018, 38(10):2874-2882.
	LV Mengxuan, LOU Suhua, LIU Jianqin, et al. Coordinated optimization of multi-type reserve in virtual power plant accommodated high shares of wind power[J]. Proceedings of the CSEE, 2018, 38(10):2874-2882.
[29]	应志玮, 余涛, 黄宇鹏, 等. 上海虚拟电厂运营市场出清的研究与实现[J]. 电力学报, 2020, 35(2):129-134.
	YING Zhiwei, YU Tao, HUANG Yupeng, et al. Research on clearing the operation market of Shanghai virtual power plant[J]. Journal of Electric Power, 2020, 35(2):129-134.
[30]	彭维珂, 聂椿明, 陈衡, 等. 基于智能算法的空冷火电机组负荷预测研究[J]. 华电技术, 2021, 43(3):57-64.
	PENG Weike, NIE Chunming, CHEN Heng, et al. Study on load forecasting for air cooling thermal power units based on intelligent algorithm[J]. Huadian Technology, 2021, 43(3):57-64.
[31]	CHAUDHARI K, KANDASAMY N K, KRISHNAN A, et al. Agent-based aggregated behavior modeling for electric vehicle charging load[J]. IEEE Transactions on Industrial Informatics, 2018, 15(2):856-868. doi: 10.1109/TII.2018.2823321
[32]	李嘉媚, 艾芊. 考虑调峰辅助服务的虚拟电厂运营模式[J]. 电力自动化设备, 2021, 41(6):1-7.
	LI Jiamei, AI Qian. Operation mode of virtual power plant considering peak regulation auxiliary service[J]. Electric Power Automation Equipment, 2021, 41(6):1-7.
[33]	朱誉, 仪忠凯, 陆秋瑜, 等. 基于典型场景集的虚拟电厂与配电网协同定价策略[J]. 电力建设, 2019, 40(6):74-85.
	ZHU Yu, YI Zhongkai, LU Qiuyu, et al. Collaborative pricing strategy of virtual power plant and distribution network considering typical scenes[J]. Electric Power Construction, 2019, 40(6):74-85.
[34]	YI Z K, XU Y L, GU W, et al. A multi-time-scale economic scheduling strategy for virtual power plant based on deferrable loads aggregation and disaggregation[J]. IEEE Transactions on Sustainable Energy, 2020, 11(3):1332-1346. doi: 10.1109/TSTE.2019.2924936
[35]	BABAEI S, ZHAO C Y, FAN L. A data-driven model of virtual power plants in day-ahead unit commitment[J]. IEEE Transactions on Power Systems, 2019, 34(6):5125-5135. doi: 10.1109/TPWRS.2018.2890714
[36]	钟永洁, 孙永辉, 谢东亮, 等. 含电-热-气-冷子系统的区域综合能源系统多场景优化调度[J]. 电力系统自动化, 2019, 43(12):76-84.
	ZHONG Yongjie, SUN Yonghui, XIE Dongliang, et al. Multi-scenario optimal dispatch of integrated community energy system with power-heating-gas-cooling subsystems[J]. Automation of Electric Power Systems, 2019, 43(12):76-84.
[37]	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 cycle life[J]. Journal of Global Energy Interconnection, 2020, 3(4):374-384.
[38]	吕梦璇, 娄素华, 刘建琴, 等. 含高比例风电的虚拟电厂多类型备用协调优化[J]. 中国电机工程学报, 2018, 38(10):2874-2882.
	LV Mengxuan, LOU Suhua, LIU Jianqin, et al. Coordinated optimization of multi-type reserve in virtual power plant accommodated high shares of wind power[J]. Proceedings of the CSEE, 2018, 38(10):2874-2882.
[39]	秦羽飞, 葛磊蛟, 王波. 能源互联网群体智能协同控制与优化技术[J]. 华电技术, 2021, 43(9):1-13.
	QIN Yufei, GE Leijiao, WANG Bo. Swarm intelligence collaborative control and optimization technology of Energy Internet[J]. Huadian Technology, 2021, 43(9):1-13.
[40]	电享科技. 新型储能\|虚拟电厂浅析(上)[EB/OL].(2022-04-21) [2022-05-01]. https://www.powershare.com.cn/cn/dianxianggongsi/xinwenzixun/498.html.
[41]	电享科技. 新型储能\|虚拟电厂浅析(下)[EB/OL].(2022-04-21) [2022-05-01]. https://www.powershare.com.cn/cn/dianxianggongsi/xinwenzixun/499.html.
[42]	王晓海, 徐静静, 胡永锋, 等. 新形势下发电企业在综合能源服务领域的业务分析[J]. 综合智慧能源, 2022, 44(3):9-16. doi: 10.3969/j.issn.2097-0706.2022.03.002
	WANG Xiaohai, XU Jingjing, HU Yongfeng, et al. Business analysis on integrated energy services of power generation enterprises under the new circumstances[J]. Integrated Intelligent Energy, 2022, 44(3):9-16. doi: 10.3969/j.issn.2097-0706.2022.03.002
[43]	钱国明, 丁泉, 黄超, 等. 基于价值链视角的发电企业参与综合能源服务策略[J]. 华电技术, 2021, 43(4):28-33.
	QIAN Guoming, DING Quan, HUANG Chao, et al. Integrated energy service strategy with participation of power generation enterprises from the perspective of value chain[J]. Huadian Technology, 2021, 43(4):28-33.