电动汽车参与电网调频优化策略建模与仿真

doi:10.16182/j.issn1004731x.joss.22-0289

摘要/Abstract

摘要：

电动汽车（electric vehicles， EVs）具有分布式储能特性，充分利用 EV灵活性可以合理地向电网提供辅助服务，并获取收益。在考虑不确定性因素影响下，以电动汽车聚合商（electric vehicle aggregator， EVA）收益期望最大为目标，构建EVA参与日前能量及调频辅助服务市场投标模型。提出一种基于合约理论的实时能量分配激励策略，在社会福利最大化情况下，实现EVA调频需求量分配。通过算例仿真，对比量化了聚合不同类型EVs的EVAs参与日前能量及调频辅助服务市场的收益情况，以及分析了经过合约激励后的EVs的实时调整情况，验证了所提方法的有效性。

关键词: 电动汽车, 辅助服务, 申报策略, 调频备用, 合约激励

Abstract:

Electric vehicles (EVs) have similar characteristics of distributed energy storage, and making full use of the flexibility of EVs can provide ancillary services to the grid and gain benefits. Considering the influence of uncertain factors, a bidding model for electric vehicle aggregator (EVA) to participate in the day-ahead energy market and frequency regulation ancillary service market is constructed with the maximum revenue expectation of EVA as the target. A real-time energy distribution incentive strategy based on contract theory is proposed to realize the distribution of EVA's frequency regulation demand under the condition of maximizing social welfare. Through case studies, the benefits of EVAs that aggregate different types of EVs participating in the day-ahead energymarket and frequency regulation ancillary service market are compared and quantified, and the real-time energy adjustment of EVs inspired by contracts is analyzed. Simulation results show the validity of the proposed method.

Key words: electric vehicle, ancillary service, bidding strategy, frequency regulation reserve, contract incentive

中图分类号:

TP391.9

姚丽, 胡俊杰, 马文帅, 杨之乐. 电动汽车参与电网调频优化策略建模与仿真[J]. 系统仿真学报, 2022, 34(7): 1417-1429.

Li Yao, Junjie Hu, Wenshuai Ma, Zhile Yang. Modeling and Simulation of Optimal Strategy for Electric Vehicles Participating in Power Grid Frequency Regulation[J]. Journal of System Simulation, 2022, 34(7): 1417-1429.

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参考文献 37

1	新华社, 中国政府网. 习近平主持召开中央财经委员会第九次会议[EB/OL].[2021-03-15].
	Xinhua News Agency, Chinese Government Website. Xi Jinping Presided over the Ninth Session of the Financial and Economic Commission of the CPC Central Committee[EB/OL].[2021-03-15].
2	辛保安. 为实现"碳达峰、碳中和"目标贡献智慧和力量[J]. 国家电网, 2021(3): 2-3.
	Xin Baoan. Contribute Wisdom and Strength to Achieve the Goal of "Carbon Peak and Carbon Neutral"[J]. State Grid, 2021(3): 2-3.
3	康重庆, 姚良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化, 2017, 41(9): 2-11.
	Kang Chongqing, Yao Liangzhong. Key Scientific Issues and Theoretical Research Framework for Power Systems with High Proportion of Renewable Energy[J]. Automation of Electric Power Systems, 2017, 41(9): 2-11.
4	李明节, 陈国平, 董存, 等. 新能源电力系统电力电量平衡问题研究[J]. 电网技术, 2019, 43(11): 3979-3986.
	Li Mingjie, Chen Guoping, Dong Cun,et al. Research on Power Balance of High Proportion Renewable Energy System[J]. Power System Technology, 2019, 43(11):3979-3986.
5	胡泽春, 罗浩成. 大规模可再生能源接入背景下自动发电控制研究现状与展望[J]. 电力系统自动化, 2018, 42(8): 2-15.
	Hu Zechun, Luo Haocheng. Research Status and Prospect of Automatic Generation Control with Integration of Large-scale Renewable Energy[J]. Automation of Electric Power systems, 2018, 42(8): 2-15.
6	吴巨爱, 薛禹胜, 谢东亮, 等. 电动汽车参与运行备用的能力评估及其仿真分析[J].电力系统自动化,2018,42(13): 101-107.
	Wu Juai, Xue Yusheng, Xie Dongliang, et al. Capability Evaluation and Simulation Analysis of Electric Vehicle Participating in Operation Reserve[J]. Automation of Electric Power Systems, 2018, 42(13): 101-107.
7	Hu Junjie, Yang Guangya, Kok Koen, et al. Transactive Control:a Framework for Operating Power Systems Characterized by High Penetration of Distributed Energy Resources[J]. Journal of Modern Power Systems and Clean Energy (S2196-5625), 2017, 5(3): 451-464.
8	胡泽春, 宋永华, 刘辉. 电动汽车与电网互动的调控策略[M]. 科学出版社, 2019: 195-237.
	Hu Zechun, Song Yonghua, Liu Hui. Electric Vehicle and Power Grid Interaction:Dispatch and Control Strategies[M]. Science Press, 2019: 195-237.
9	Sarker M R, Dvorkin Y, Ortega-Vazquez M A. Optimal Participation of an Electric Vehicle Aggregator in Day-Ahead Energy and Reserve Markets[J]. IEEE Transactions on Power Systems (S0885-8950), 2016, 31(5): 3506-3515.
10	人民日报, 中国政府网. 截至2021年底全国新能源汽车保有量达784万辆[EB/OL].[2021-01-12].
	Daily People's, Chinese Government Website. By the end of 2021, the Number of New Energy Vehicles in China will Reach 7.84 Million[EB/OL].[20212.01.12].
11	国家能源局江苏监管办公室.江苏电力辅助服务(调频)市场交易规则(试行)的通知[EB/OL].[2020-06-30].
	Jiangsu Energy Regulatory Office of National Energy Administration of the People's Republic of China. Notice of Trading Rules of Jiangsu Electric Auxiliary Service (FM) Market (Trial) [EB/OL].[2020-06-30].
12	沈运帷, 李扬, 高赐威, 等. 需求响应在电力辅助服务市场中的应用[J]. 电力系统自动化, 2017, 41(22): 151-161.
	Shen Yunwei, Li Yang, Gao Ciwei, et al. Application of Demand Response in Ancillary Service Market[J].Automation of Electric Power Systems,2017,41(22):151-161.
13	雷敏, 华一飞, 赵洪山, 等. 计及电池寿命的电动汽车参与电网调峰策略[J]. 现代电力, 2020, 37(5): 510-517.
	Lei Min, Hua Yifei, Zhao Hongshan,et al.Participating Peak Load Regulation of Power Grid Considering Battery Life[J]. Modern Electric Power, 2020,37(5):510-517.
14	吴洲洋, 艾欣, 胡俊杰. 需求侧灵活性资源参与调频辅助服务的备用优化与实时调度[J]. 电力系统自动化,2021, 45(6): 148-157.
	Wu Zhouyang, Ai Xin, Hu Junjie. Reserve Optimization and Real-time Scheduling of Frequency Regulation Ancillary Service with Flexible Resource on Flexible Demand Side[J]. Automation of Electric Power Systems, 2021, 45(6): 148-157.
15	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.
16	吴巨爱, 薛禹胜, 谢东亮. 电动汽车聚合商对备用服务能力的优化[J]. 电力系统自动化, 2019, 43(9): 75-81.
	Wu Juai, Xue Yusheng, Xie Dongliang. Optimization of Reserve Service Capability Made by Electric Vehicle Aggregator[J]. Automation of electric power systems, 2019, 43(9): 75-81.
17	詹祥澎, 杨军, 韩思宁, 等. 考虑电动汽车可调度潜力的充电站两阶段市场投标策略[J]. 电力系统自动化, 2021, 45(10): 86-96.
	Zhan Xiangpeng, Yang Jun, Han Sining, et al. Two-Stage Market Bidding Strategy of Charging Station Considering Schedulable Potential Capacity of Electric Vehicle[J].Automation of Electric Power Systems, 2021, 45(10): 86-96.
18	许梦瑶, 艾小猛, 方家琨, 等. 考虑用户积极性的电动汽车与机组联合调频的两阶段随机优化调度模型[J]. 电网技术, 2022, 46(6): 2033-2041.
	Xu Mengyao, Ai Xiaomeng, Fang Jiakun,et al.Two-stage Stochastic Optimal Scheduling Model for Joint Regulation EV and Thermal Units Considering Users Enthusiasm[J]. Power System Technology, 2022, 46(6):2033-2041.
19	黄张浩, 张亚超, 郑峰, 等. 基于不同利益主体协调优化的主动配电网日前–实时能量管理方法[J]. 电网技术,2021, 45(6): 2299-2308.
	Huang Zhanghao, Zhang Yachao, Zheng Feng, et al.Day-ahead and Real-time Energy Management for Active Distribution Network Based on Coordinated Optimization of Different Stakeholders[J]. Power System Technology, 2021, 45(6): 2299-2308.
20	吴界辰, 艾欣, 胡俊杰, 等. 计及不确定因素的需求侧灵活性资源优化调度[J]. 电力系统自动化, 2019, 43(14):73-80, 89.
	Wu Jiechen, Ai Xin, Hu Junjie, et al. Optimization of Demand-side Flexible Resource Scheduling with Uncertain Factors[J].Power system automation,2019,43(14): 73-80, 89.
21	文艺林, 胡泽春, 宁剑, 等. 基于分布鲁棒机会约束的充电运营商参与调峰市场投标策略[J]. 电力系统自动化,2022, 46(7): 23-32.
	Wen Yilin, Hu Zechun, Ning Jian, et al.Bidding Strategy of Charging Operator Participating in Peak Regulation Market Based on Distributionally Robust Chance Constraint[J].Automation of Electric Power Systems,2022, 46(7): 23-32.
22	张巍, 李怀宝, 董晓伟, 等. 虚拟电厂的灵活性辅助服务投标策略研究[J]. 电力科学与工程, 2021, 37(3): 47-56.
	Zhang Wei, Li Huaibao, Dong Xiaowei,et al. Research on Flexible Auxiliary Service Bidding Strategy of Virtual Power Plant[J]. Electric Power Science and Engineering, 2021, 37(3): 47-56.
23	魏震波, 田轲, 罗筱均, 等. 电动汽车聚合商参与下的主辅联合市场均衡分析[J]. 电力建设, 2021, 42(2): 50-57.
	Wei Zhenbo, Tian Ke, Luo Xiaojun, et.al. Analysis on Equilibrium of the Main and Auxiliary Joint Markets Considering the Aggregators of Electric Vehicles[J]. Electric Power Construction, 2021, 42(2): 50-57.
24	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 (S0306-2619), 2019, 240(4): 46-55.
25	陈吕鹏, 潘振宁, 余涛, 等. 基于动态非合作博弈的大规模电动汽车实时优化调度[J]. 电力系统自动化, 2019,43(24): 32-40, 66.
	Chen Lüpeng, Pan Zhenning, Yu Tao, et al. Dynamic Coordination Mechanism of Grid Frequency Regulation with Multiple Photovoltaic Generation Units[J].Automation of electric power systems, 2019,43(24):32-40, 66.
26	Xie S, Zhong W, Kan X, et al. Fair Energy Scheduling for Vehicle-to-Grid Networks Using Adaptive Dynamic Programming[J]. IEEE Transactions on Neural Networks and Learning Systems (S1045-9227), 2016, 27(8): 1-11.
27	张潇, 栗然, 马涛, 等. 基于主从博弈和贪心策略的含电动汽车主动配电网优化调度[J]. 电力自动化设备, 2020, 40(4): 103-110.
	Zhang Xiao, Li Ran, Ma Tao, et al. Stackelberg Game and Greedy Strategy Based Optimal Dispatch of Active Distribution Network with Electric Vehicles[J]. Electric Power Automation Equipment, 2020, 40(4): 103-110.
28	张鸾, 罗正军, 周德群. 基于主体的可再生能源电力消纳交易仿真研究[J]. 系统仿真学报, 2022,34(1):170-178.
	Zhang Luan, Luo Zhengjun, Zhou Dequn. Agent- based Research on Power Absorption Simulation Analysis of Renewable Energy[J]. Journal of System Simulation, 2022, 34(1): 170-178.
29	刘维扬, 王冰, 王敏, 等. 智能合约技术下电动汽车入网竞价机制研究[J]. 电网技术, 2019,43(12):4344-4352.
	Liu Weiyang, Wang Bing, Wang Min, et al. Research on Electric Vehicles Participating in Bidding Mechanism of Power Grid Based on Smart Contract Technology[J]. Power System Technology, 2019, 43(12): 4344-4352.
30	李伟, 韩瑞迪, 孙晨家, 等. 基于用电偏好的可平移负荷参与需求响应最优激励合同与激励策略[J]. 中国电机工程学报, 2021, 41(增): 185-193.
	Li Wei, Han Ruidi, Sun Chenjia,et al.An Optimal Incentive Contract and Strategy of Shiftable Loads Participation in Demand Response Based on User Electricity Preference[J]. Proceedings of the CSEE, 2021,41(S1): 185-193.
31	Zhang K, Mao Y, Leng S, et al. Optimal Charging Schemes for Electric Vehicles in Smart Grid: A Contract Theoretic Approach[J]. IEEE Transactions on Intelligent Transportation Systems (S1524-9050), 2018, 19(9): 3046-3058.
32	Zhou Z, Wang B, Guo Y, et al. Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles[J]. IEEE Transactions on Emerging Topics in Computational Intelligence (S2471-285X), 2019, 3(3): 205-216.
33	马丽雅, 刘文霞, 孙浩男, 等. 基于合约理论的产消者参与调频市场交易策略[J]. 电网技术, 2021, 45(4): 1347-1356.
	Ma Liya, Liu Wenxia, Sun Haonan, et al. Contract Theory Based Transaction Strategy for Prosumers to Participate in the Frequency Modulation Ancillary Service Market[J].Power System Technology, 2021, 45(4): 1347-1356.
34	陈达鹏, 荆朝霞. 美国调频辅助服务市场的调频补偿机制分析[J]. 电力系统自动化, 2017, 41(18): 1-9.
	Chen Dapeng, Jing Zhaoxia. Analysis of Frequency Modulation Compensation Mechanism in Frequency Modulation Ancillary Service Market of the United States[J]. Automation of Electric Power Systems, 2017, 41(18):1-9.
35	李华珍, 柳有权, 朱家伟, 等. 基于改进粒子群算法的居民需求响应调度优化与仿真[J]. 系统仿真学报, 2021, 33(8): 1969-1979.
	Li Huazhen, Liu Youquan, Zhu Jiawei, et al. Residential Demand Response Scheduling Optimization and Simulation Based on an Improved PSO Algorithm[J].Journal of System Simulation, 2021, 33(8): 1969-1979.
36	Lipp T, Boyd S. Variations and Extension of the Convex–Concave Procedure[J]. Optimization & Engineering (S1389-4420), 2016, 17(2): 263-287.
37	王浩浩, 陈嘉俊, 朱涛, 等. 计及储能寿命与调频性能的风储联合投标模型及算法[J]. 电网技术, 2021, 45(1):208-217.
	Wang Haohao, Chen Jiajun, Zhu Tao, et al.Joint Bidding Model and Algorithm of the Wind-Storage System Considering the Energy Storage Life and the Frequency Regulation Performance[J]. Power System Technology, 2021, 45(1): 208-217.

EV类别	到达时间	离开时间	初始SOC分布
私人EV	N(19,1²)	N(8,1²)	N(0.5,0.03²)
公交车	N(23,0.5²)	N(7,1²)	N(0.4,0.03²)

类型	总需求量/MW	总调整量/MW	EVA总效用
合约激励	531.37	531.37	1 149.94
固定激励	531.37	271.89	1 021.64

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[4]	李燕, 何怡刚. 基于萤火虫算法纯电动汽车参数匹配优化[J]. 系统仿真学报, 2019, 31(4): 795-801.
[5]	孔源, 杜怡曼, 吴建平, 胡可臻. 基于浮动车大数据的电动汽车潜在用户分析[J]. 系统仿真学报, 2019, 31(3): 575-584.
[6]	孙伟卿, 陈顺风, 刘通, 吴小东. 电动汽车换电站运营效益建模与分析[J]. 系统仿真学报, 2018, 30(2): 731-739.
[7]	胡可臻, 吴建平, 刘明宇. 实测与问卷驾驶行为数据视角的电动汽车能耗建模[J]. 系统仿真学报, 2018, 30(11): 4106-4114.
[8]	李婷婷, 吴建平. 广州花都区电动汽车共享服务仿真研究[J]. 系统仿真学报, 2018, 30(11): 4421-4429.
[9]	武小兰, 白志峰, 史小辉, 曹秉刚. PHEV模糊能量管理策略优化设计[J]. 系统仿真学报, 2018, 30(1): 242-248.
[10]	叶尚斌, 张佳佳, 张逸成, 姚勇涛. 用于传导噪声预估的全电路仿真平台研究[J]. 系统仿真学报, 2017, 29(6): 1253-1259.
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[12]	宋绍剑, 林庆芳, 林小峰. 基于台架实验的单/双能量源纯电动汽车性能研究[J]. 系统仿真学报, 2015, 27(3): 521-528.