刘贵宇,周霞,戴剑丰,解相朋
LIU Guiyu,ZHOU Xia,DAI Jianfeng,XIE Xiangpeng

• 1:南京邮电大学碳中和先进技术研究院
• 2:南京邮电大学自动化学院人工智能学院

摘要(Abstract)：

规模化电动汽车无序充电行为将会带来用电量激增、负荷峰谷差变大等问题。分时电价策略一定程度上可以降低峰谷差，但是会产生新的负荷高峰。针对上述问题，提出了基于IDBO（改进蜣螂优化）算法的电动汽车有序充放电控制策略。首先基于马尔科夫链计算电动汽车充放电能力；然后构建电动汽车有序充放电双层优化调度模型，上层模型以电网运行安全风险最小为目标函数，下层模型以电动汽车综合充电成本最小为目标函数，最后通过IDBO算法对模型进行求解。以IEEE 33节点配电网为例，将该方法与无序充放电以及传统分时电价进行对比，验证了V2G调度策略可以大幅缓解分时电价产生新的负荷高峰问题，有效降低电网峰谷差、车主充电成本以及电池损耗。
The disorderly charging behavior of large-scale electric vehicles can lead to challenges such as a surge in electricity consumption and an increased peak-valley difference. Time-of-use pricing strategies can reduce the peakvalley difference to some extent, but they may create new load peaks. To address these problems, a control strategy for orderly charging and discharging of electric vehicles(EVs) based on the improved dung beetle optimization(IDBO) is proposed. Firstly, the charging and discharging capacity of EVs is calculated using a Markov chain. Then, a two-level optimal scheduling model for orderly charging and discharging of EVs is developed. The upperlevel model aims to minimize the safety risks in grid operation, while the lower-level model minimizes the comprehensive charging costs of EVs. The model is solved using IDBO. Using the IEEE 33-node distribution network as an example, the proposed method is compared with disorderly charging method and traditional time-of-use pricing method. The results demonstrate that the vehicle-to-grid(V2G) scheduling strategy can significantly mitigate new peak load issues caused by time-of-use pricing, effectively decreasing the grid's peak-valley difference, the charging costs for vehicle owners, and battery loss.

关键词(KeyWords)： 蜣螂优化算法;电动汽车;V2G技术;有序充放电
DBO;EV;V2G technology;orderly charging and discharging

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52377085)

作者(Author): 刘贵宇,周霞,戴剑丰,解相朋
LIU Guiyu,ZHOU Xia,DAI Jianfeng,XIE Xiangpeng

DOI: 10.19585/j.zjdl.202508004

参考文献(References)：

• [1]叶宇剑，袁泉，汤奕.面向双碳目标的交通网-电网耦合网络中电动汽车负荷低碳优化方法[J].中国电力，2023,56(5):72-79.YE Yujian,YUAN Quan,TANG Yi. Electric vehicle charging demand low carbon optimization in traffic-grid coupling networks towards“dual carbon” goal[J].Electric Power,2023,56(5):72-79.
• [2]陈杰军，奚巍民，朱婵霞，等.电动汽车发展态势评价体系及方法研究[J].电力需求侧管理，2023,25(1):74-79.CHEN Jiejun,XI Weimin,ZHU Chanxia,et al.Evaluation system and method of electric vehicle development trend[J].Power Demand Side Management,2023,25(1):74-79.
• [3] HAN J W,GUO P,YANG Y,et al. Charging and discharging load aggregation operation mode of electric vehicles based on smart contract[C]//2022 2nd International Conference on Electrical Engineering and Control Science(IC2ECS). December 16-18,2022,Nanjing,China. IEEE,2022:1122-1125.
• [4]安佳坤，杨书强，王涛，等.电动汽车聚合下的微能源互联网优化调度策略[J].中国电力，2023,56(5):80-88.AN Jiakun,YANG Shuqiang,WANG Tao,et al.Optimal scheduling strategy for micro energy Internet under electric vehicles aggregation[J].Electric Power,2023,56(5):80-88.
• [5]刘子腾，孙烨，张沛超，等.基于高斯过程回归的电动汽车集群灵活性的概率预测[J].电力需求侧管理，2024,26(3):9-14.LIU Ziteng,SUN Ye,ZHANG Peichao,et al.Flexibility probabilistic prediction of electric vehicle fleet based on Gaussian process regression[J].Power Demand Side Management,2024,26(3):9-14.
• [6] DASCALU A,FRASER E J,AL-WREIKAT Y,et al.A techno-economic analysis of a hybrid energy storage system for EV off-grid charging[C]//2023 International Conference on Clean Electrical Power(ICCEP).June 27-29,2023,Terrasini,Italy.IEEE,2023:83-90.
• [7]李擎，王岁宁，崔家瑞，等.考虑电动汽车充放电的智慧社区强化学习能源优化调度策略[J].科学技术与工程，2023,23(30):12966-12975.LI Qing,WANG Suining,CUI Jiarui,et al.Energy optimal scheduling strategy based on reinforcement learning for smart community with electric vehicle[J]. Science Technology and Engineering,2023,23(30):12966-12975.
• [8]蒋林洳，龙羿，李兴源，等.基于实测数据的多类型电动汽车充电负荷分析[J].电测与仪表，2023,60(1):36-41.JIANG Linru,LONG Yi,LI Xingyuan,et al. Charging load analysis of multi-type electric vehicle based on measured data[J].Electrical Measurement&Instrumentation,2023,60(1):36-41.
• [9]朱心月，岳云涛，李炳华，等.电动汽车有序充放电分群调度策略[J].科学技术与工程，2021,21(19):8023-8030.ZHU Xinyue,YUE Yuntao,LI Binghua,et al. Orderly charging and discharging group scheduling strategy for electric vehicles[J].Science Technology and Engineering,2021,21(19):8023-8030.
• [10]张良，孙成龙，蔡国伟，等.基于PSO算法的电动汽车有序充放电两阶段优化策略[J].中国电机工程学报，2022,42(5):1837-1852.ZHANG Liang,SUN Chenglong,CAI Guowei,et al.Two-stage optimization strategy for coordinated charging and discharging of EVs based on PSO algorithm[J].Proceedings of the CSEE,2022,42(5):1837-1852.
• [11]陈文颖，刘蓓迪.基于粒子群算法的电动汽车有序充放电优化[J].山东电力技术，2023,50(1):52-58.CHEN Wenying,LIU Beidi.Sequential charging and discharging optimization of electric vehicles based on particle swarm optimization[J].Shandong Electric Power,2023,50(1):52-58.
• [12]陈晓华，吴杰康，张勋祥，等.基于鹈鹕优化算法优化广义回归神经网络的电动汽车充电负荷短期预测[J].山东电力技术，2024,51(7):1-9.CHEN Xiaohua,WU Jiekang,ZHANG Xunxiang,et al.Electric vehicle charging load short-term prediction based on generalized regression neural network optimized by pelican optimization algorithm[J].Shandong Electric Power,2024,51(7):1-9.
• [13]邓慧琼，张晓飞，曾凡淦，等.基于动态分时电价的电动汽车有序充放电调度策略[J].河北科技大学学报，2022,43(3):240-248.DENG Huiqiong,ZHANG Xiaofei,ZENG Fangan,et al.Orderly charging and discharging scheduling strategy of electric vehicle based on dynamic TOU price[J].Journal of Hebei University of Science and Technology,2022,43(3):240-248.
• [14] SACHAN S,ADNAN N. Stochastic charging of electric vehicles in smart power distribution grids[J].Sustainable Cities and Society,2018,40:91-100.
• [15]曹杭涛，章勇，蒋宁，等.一种电动汽车“预约充/放电”模式的优化配置方案[J].浙江电力，2024,43(5):35-42.CAO Hangtao,ZHANG Yong,JIANG Ning,et al.An optimal configuration scheme for“scheduled charging and discharging” mode of electric vehicles[J]. Zhejiang Electric Power,2024,43(5):35-42.
• [16]李玲，曹锦业，Nikita Tomin，等.计及电动汽车接入的区域综合能源系统双层日前协调优化调度[J].电力建设，2023,44(5):23-33.LI Ling,CAO Jinye,NIKITA Tomin,et al.Bi-level coordinated day-ahead optimal dispatch of regional integrated energy system considering the integrations of electric vehicles[J]. Electric Power Construction,2023,44(5):23-33.
• [17]张祥成，刘飞，田旭，等.考虑竞争偏好的数据中心-电动汽车用能联合优化策略[J].电力建设，2023,44(3):85-92.ZHANG Xiangcheng,LIU Fei,TIAN Xu,et al.Joint optimization strategy for energy consumption of data center and electric vehicles considering competitive preference[J].Electric Power Construction,2023,44(3):85-92.
• [18]李旭东，杨烨，李帆琪，等.计及电价不确定性和容量衰减的电动汽车充放电商业模式[J].中国电力，2023,56(1):38-48.LI Xudong,YANG Ye,LI Fanqi,et al.Business models of electric vehicle aggregators considering electricity price uncertainty and capacity decay[J].Electric Power,2023,56(1):38-48.
• [19]王鑫，周步祥，唐浩.考虑用户因素的电动汽车有序充放电控制策略[J].电力系统保护与控制，2018,46(4):129-137.WANG Xin,ZHOU Buxiang,TANG Hao.A coordinated charging/discharging strategy for electric vehicles considering customers'factors[J].Power System Protection and Control,2018,46(4):129-137.
• [20]庞松岭，赵海龙，张晨佳.计及充电需求差异的电动汽车充电设施协同优化配置[J].电测与仪表，2024,61(12):171-177.PANG Songling,ZHAO Hailong,ZHANG Chenjia.Collaborative optimization configuration of electric vehicle charging facilities considering differences in charging demand[J]. Electrical Measurement&Instrumentation,2024,61(12):171-177.
• [21] XIA M C,LAI Q Y,ZHONG Y J,et al.Aggregator-based interactive charging management system for electric vehicle charging[J].Energies,2016,9(3):159.
• [22]王海伟，徐晓，陈中.数据驱动的大型居民区电动汽车动态充电可行性分析[J].电网与清洁能源，2020,36(3):89-96.WANG Haiwei,XU Xiao,CHEN Zhong. Feasibility analysis of data-driven dynamic charging of electric vehicles in large residential areas[J]. Power System and Clean Energy,2020,36(3):89-96.
• [23]程杉，杨堃，魏昭彬，等.计及电价优化和放电节制的电动汽车充电站有序充放电调度[J].电力系统保护与控制，2021,49(11):1-8.CHENG Shan,YANG Kun,WEI Zhaobin,et al.Orderly charging and discharging scheduling of an electric vehicle charging station considering price optimization and discharge behavior control[J].Power System Protection and Control,2021,49(11):1-8.
• [24] LI Z N,SU S,JIN X L,et al. A hierarchical scheduling method of active distribution network considering flexible loads in office buildings[J].International Journal of Electrical Power&Energy Systems,2021,131:106768.
• [25]牛牧童，廖凯，杨健维，等.考虑季节特性的多时间尺度电动汽车负荷预测模型[J].电力系统保护与控制，2022,50(5):74-85.NIU Mutong,LIAO Kai,YANG Jianwei,et al. Multitime-scale electric vehicle load forecasting model considering seasonal characteristics[J]. Power System Protection and Control,2022,50(5):74-85.
• [26]万玲玲，陈中，王毅，等.考虑能量时空转移的城市规模化共享电动汽车充放电优化调度[J].电力建设，2023,44(6):135-143.WAN Lingling,CHEN Zhong,WANG Yi,et al.Optimal charging and discharging scheduling of urban large-scale shared electric vehicles considering energy temporal and spatial transfer[J].Electric Power Construction,2023,44(6):135-143.
• [27] VIJAYASHANTHI R S, PRITHIVIRAJ S,PRATHISH S,et al.Smart EV-hub:a smart development of an Internet of Things based electric vehicle charging station using artificial intelligence[C]//2024 International Conference on Advances in Computing,Communication and Applied Informatics(ACCAI).May 9-10,2024,Chennai,India.IEEE,2024:1-6.
• [28]王晞，汪伟，王海燕，等.计及用户电池损耗的电动汽车分布式两阶段调度策略[J].电测与仪表，2022,59(1):120-126.WANG Xi,WANG Wei,WANG Haiyan,et al. Distributed two-stage scheduling strategy of EV considering user battery consumption[J].Electrical Measurement&Instrumentation,2022,59(1):120-126.
• [29]丁乐言，柯松，张帆，等.考虑出行需求和引导策略的电动汽车充电负荷预测[J].电力建设，2024,45(6):10-26.DING Leyan,KE Song,ZHANG Fan,et al.Forecasting of electric-vehicle charging load considering travel demand and guidance strategy[J]. Electric Power Construction,2024,45(6):10-26.
• [30] YANG R Z,YANG F.Design and simulation of a 10 kW bidirectional EV fast charger based on V2G technology[C]//2024 IEEE Transportation Electrification Conference and Expo,Asia-Pacific(ITEC Asia-Pacific).October10-13,2024,Xi’an,China.IEEE,2024:998-1003.
• [31]朱心月，岳云涛，李炳华，等.电动汽车有序充放电分群调度策略[J].科学技术与工程，2021,21(19):8023-8030.ZHU Xinyue,YUE Yuntao,LI Binghua,et al. Orderly charging and discharging group scheduling strategy for electric vehicles[J].Science Technology and Engineering,2021,21(19):8023-8030.
• [32]刘航，申皓，杨勇，等.基于高阶马尔可夫链的纯电重卡集群负荷预测[J].中国电力，2024,57(5):61-69.LIU Hang,SHEN Hao,YANG Yong,et al.Load forecast of electric trucks aggregation based on higher-order Markov chains[J].Electric Power,2024,57(5):61-69.
• [33]石少青，周尚礼，吴昊文，等.插电式电动车有序充电调度控制算法研究[J].测控技术，2021,40(3):130-134.SHI Shaoqing,ZHOU Shangli,WU Haowen,et al. Orderly charging scheduling control algorithm of plug-in electric vehicles[J]. Measurement&Control Technology,2021,40(3):130-134.
• [34] XUE J K,SHEN B.Dung beetle optimizer:a new metaheuristic algorithm for global optimization[J].The Journal of Supercomputing,2023,79(7):7305-7336.
• [35]张严，秦亮曦.基于Levy飞行策略的改进樽海鞘群算法[J].计算机科学，2020,47(7):154-160.ZHANG Yan,QIN Liangxi. Improved salp swarm algorithm based on levy flight strategy[J].Computer Science,2020,47(7):154-160.
• [36]宁杰琼，何庆.t-分布扰动策略和变异策略的花授粉算法[J].小型微型计算机系统，2021,42(1):64-70.NING Jieqiong,HE Qing. Flower pollination algorithm based on t-distribution perturbation strategy and mutation strategy[J].Journal of Chinese Computer Systems,2021,42(1):64-70.