考虑电动汽车用户满意度的微电网双层多目标优化调度

刘明杭, 田书, 梁英达

分布式能源 ›› 2022, Vol. 7 ›› Issue (2) : 18-25.

PDF(1403 KB)
PDF(1403 KB)
分布式能源 ›› 2022, Vol. 7 ›› Issue (2) : 18-25. DOI: 10.16513/j.2096-2185.DE.2207203
学术研究

考虑电动汽车用户满意度的微电网双层多目标优化调度

作者信息 +

Double-Level Multi-Objective Optimal Scheduling of Microgrid Considering Customer Satisfaction of Electric Vehicles

Author information +
文章历史 +

本文亮点

In order to solve the problems of daily load fluctuation and operation cost increase caused by disordered charging of electric vehicle (EV) after large-scale connection to microgrid, a double-layer multi-objective optimal scheduling scheme of microgrid considering user satisfaction was proposed. In the scheme, the day-ahead optimization scheduling process of microgrid is divided into distribution network layer and load layer. In the distribution network layer, the scheduling strategy of electric vehicle aggregator (EVA) is formulated to minimize daily load variance and system operating cost. The load layer formulates the charging strategy of each EV, and maximizes the comprehensive satisfaction of users according to the requirements of the distribution network system layer under the scheduling plan of EVA. Through the comparison and analysis of multiple scenarios, the results show that the proposed optimization model not only reduces the variance of daily load and improves the economy of the system, but also improves the comprehensive satisfaction of users and the enthusiasm of users to participate in scheduling.

关键词

电动汽车(EV) / 双层优化 / 用户综合满意度 / NSGA-Ⅱ算法 / 优化调度

Key words

electric vehicle (EV) / double-layer optimization / comprehensive user satisfaction / NSGA-Ⅱ algorithm / optimal scheduling

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用
刘明杭, 田书, 梁英达. 考虑电动汽车用户满意度的微电网双层多目标优化调度[J]. 分布式能源. 2022, 7(2): 18-25 https://doi.org/10.16513/j.2096-2185.DE.2207203
Minghang LIU, Shu TIAN, Yingda LIANG. Double-Level Multi-Objective Optimal Scheduling of Microgrid Considering Customer Satisfaction of Electric Vehicles[J]. Distributed Energy Resources. 2022, 7(2): 18-25 https://doi.org/10.16513/j.2096-2185.DE.2207203
中图分类号： TK01   

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析
[1]
凌俊斌，宗炫君. 大规模电动汽车接入电网的影响研究[J]. 自动化应用，2016(11): 40-41.
LING Junbin, ZONG Xuanjun. Study on the impact of large-scale electric vehicle access to power grid[J]. Automation Application, 2016(11): 40-41.
本文引用 [1]
[2]
蔡黎，张权文，代妮娜，等. 规模化电动汽车接入主动配电网研究进展综述[J]. 智慧电力，2021, 49(6): 75-82.
CAI Li, ZHANG Quanwen, DAI Nina, et al. Review on research progress of large-scale electric vehicle access to active distribution network[J]. Smart Power, 2021, 49(6): 75-82.
本文引用 [1]
[3]
王守相，陈建凯，王洪坤，等. 综合考虑电动汽车充电与储能及可中断负荷调度的配电网两阶段灵活性提升优化方法[J]. 电力自动化设备，2020, 40(11): 1-10.
WANG Shouxiang, CHEN Jiankai, WANG Hongkun, et al. Two stage flexibility improvement optimization method of distribution network considering electric vehicle charging and energy storage and interruptible load scheduling[J]. Electric Power Automation Equipment, 2020, 40(11): 1-10.
本文引用 [1]
[4]
冷祥彪，孙成龙，袁太平，等. 电动汽车有序充放电的控制与关键问题综述[J]. 广东电力，2020, 33(11): 34-43.
LENG Xiangbiao, SUN Chenglong, YUAN Taiping, et al. Review on control strategies and key problems of coordinated charging and discharging of electric vehicles[J]. Guangdong Electric Power, 2020, 33(11): 34-43.
本文引用 [1]
[5]
郝钰. 考虑高比例电动汽车接入的离网型微电网时序负荷建模及在可靠性评估中的应用[D]. 重庆：重庆大学，2018.
HAO Yu. Time series load modeling of off grid microgrid considering high proportion of electric vehicles and its application in reliability evaluation[D]. Chongqing: Chongqing University, 2018
本文引用 [1]
[6]
贺瑜环，杨秀媛，陈麒宇，等. 电动汽车智能充放电控制与应用综述[J]. 发电技术，2021, 42(2): 180-192.
HE Yuhuan, YANG Xiuyuan, CHEN Qiyu, et al. Review of intelligent charging and discharging control and application of electric vehicles[J]. Power Generation Technology, 2021, 42(2): 180-192.
本文引用 [1]
[7]
梁珺，冯洪涛，唐巍，等. 消纳分布式电源和电动汽车的交直流混合中压配电网供电模式[J]. 分布式能源，2018, 3(1): 39-49.
LIANG Jun, FENG Hongtao, TANG Wei, et al. AC/DC hybrid medium voltage distribution network power supply mode to absorb distributed generation and electric vehicles[J]. Distributed Energy, 2018, 3(1): 39-49.
本文引用 [1]
[8]
许刚，张丙旭，张广超. 电动汽车集群并网的分布式鲁棒优化调度模型[J]. 电工技术学报，2021, 36(3): 565-578.
XU Gang, ZHANG Bingxu, ZHANG Guangchao. Distributed robust optimal scheduling model for electric vehicle cluster grid connection[J]. Transaction of China Electrotechnical Society, 2021, 36(3): 565-578.
本文引用 [1]
[9]
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 of orderly charge and discharge of electric vehicle based on PSO algorithm[J]. Proceedings of the CSEE, 2022, 42(5): 1837-1852.
本文引用 [1]
[10]
朱磊，黄河，高松，等. 计及风电消纳的电动汽车负荷优化配置研究[J]. 中国电机工程学报，2021, 41(): 194-203.
摘要
S1
ZHU Lei, HUANG He, GAO Song, et al. Research on optimal load allocation of electric vehicle considering wind power consumption[J]. Proceedings of the CSEE, 2021, 41(): 194-203.
本文引用 [1] 摘要
S1
[11]
段俊东，李高尚，李一石，等. 考虑风电消纳的电动汽车充电站有序充电控制[J]. 储能科学与技术，2021, 10(2): 630-637.
DUAN Jundong, LI Gaoshang, LI Yishi, et al. Orderly charging control of electric vehicle charging station considering wind power consumption[J]. Energy Storage Science and Technology, 2021, 10(2): 630-637.
本文引用 [1]
[12]
王毅，陈进，麻秀，等. 采用分群优化的电动汽车与电网互动调度策略[J]. 电力自动化设备，2020, 40(5): 77-85.
WANG Yi, CHEN Jin, MA Xiu, et al. Interactive dispatching strategy between electric vehicle and power grid based on cluster optimization[J]. Electric Power Automation Equipment, 2020, 40(5): 77-85.
本文引用 [1]
[13]
窦迅，王俊，杨志宏，等. 含交直流混合配网综合能源系统的电动汽车分群调控策略[J]. 中国电机工程学报，2021, 41(14): 4829-4844.
DOU Xun, WANG Jun, YANG Zhihong, et al. Cluster regulation strategy of electric vehicle with AC/DC hybrid distribution network integrated energy system[J]. Proceedings of the CSEE, 2021, 41(14): 4829-4844.
本文引用 [1]
[14]
佟晶晶，温俊强，王丹，等. 基于分时电价的电动汽车多目标优化充电策略[J]. 电力系统保护与控制，2016, 44(1): 17-23.
TONG Jingjing, WEN Junqiang, WANG Dan, et al. Multi objective optimal charging strategy for electric vehicles based on time of use tariff[J]. Power System Protection and Control, 2016, 44(1): 17-23.
本文引用 [1]
[15]
王行行，赵晋泉，王珂，等. 考虑用户满意度和配网安全的电动汽车多目标双层充电优化[J]. 电网技术，2017, 41(7): 2165-2172.
WANG Xingxing, ZHAO Jinquan, WANG Ke, et al. Multi objective double-layer charging optimization of electric vehicles considering user satisfaction and distribution network safety[J]. Power System Technology, 2017, 41(7): 2165-2172.
本文引用 [1]
[16]
谢琳宇，唐忠，黄星宇，等. 考虑分布式电源和电动汽车不确定性的双层动态配网重构[J]. 电力系统保护与控制，2020, 48(10): 1-11.
XIE Linyu, TANG Zhong, HUANG Xingyu, et al. Double layer dynamic distribution network reconfiguration considering distributed generation and electric vehicle uncertainty[J]. Power System Protection and Control, 2020, 48(10): 1-11.
本文引用 [1]
[17]
曹一家，刘易珠，阙凌燕，等. 换电站与电网协调的多目标双层实时充放电调度方法[J]. 电力自动化设备，2015, 35(4): 1-7.
CAO Yijia, LIU Yizhu, QUE Lingyan, et al. Multi-objective double-layer real-time charge discharge scheduling method for coordination between power exchange station and power grid[J]. Electric Power Automation Equipment, 2015, 35(4): 1-7.
本文引用 [1]
[18]
REN H, ZHANG A, WANG F, et al. Optimal scheduling of an EV aggregator for demand response considering triple level benefits of three-parties[J]. International Journal of Electrical Power & Energy Systems, 2021, 125(6): 106447.
本文引用 [1]
[19]
宋莉，刘敦楠，庞博，等. 需求侧资源参与电力市场机制及典型案例实践综述[J]. 全球能源互联网，2021, 4(4): 401-410.
SONG Li, LIU Dunnan, PANG Bo, et al. Summary of demand side resource participation in power market mechanism and typical case practice[J]. Global Energy Internet, 2021, 4(4): 401-410.
本文引用 [1]
[20]
刘鑫一，庞继龙，赵祥模，等. 一种兼顾用户满意度与传输效率的车联网网络选择策略[J]. 西安交通大学学报，2020, 54(10): 9-16.
LIU Xinyi, PANG Jilong, ZHAO Xiangmo, et al. An internet of vehicles network selection strategy considering user satisfaction and transmission efficiency[J]. Journal of Xi'an Jiaotong University, 2020, 54(10): 9-16.
本文引用 [1]
[21]
黄一诺，郭创新，王力成，等. 考虑用户满意度的电动汽车分群调度策略[J]. 电力系统自动化，2015, 39(17): 183-191.
HUANG Yinuo, GUO Chuangxin, WANG Licheng, et al. Electric vehicle cluster scheduling strategy considering user satisfaction[J]. Power System Automation, 2015, 39(17): 183-191.
本文引用 [1]
[22]
安杨，李华强，阚力丰，等. 考虑用户综合满意度的居民区电动汽车充放电优化策略[J]. 电测与仪表，2019, 56(6): 7-13.
AN Yang, LI Huaqiang, KAN Lifeng, et al. Optimization strategy of electric vehicle charging and discharging in residential areas considering comprehensive user satisfaction[J]. Electrical Measurement and Instrumentation, 2019, 56(6): 7-13.
本文引用 [1]
[23]
汪磊，杨贺钧，马英浩，等. 考虑多重评价指标的多时段分时电价优化模型[J]. 中国电力，2019, 52(6): 54-59.
WANG Lei, YANG Hejun, MA Yinghao, et al. Multi period TOU price optimization model considering multiple evaluation indicators[J]. Eelctric Power, 2019, 52(6): 54-59.
本文引用 [1]
[24]
黄贵鸿，雷霞，杨毅，等. 考虑风电与用户满意度的电动汽车两层智能充放电策略[J]. 电工技术学报，2015, 30(5): 85-97.
HUANG Guihong, LEI Xia, YANG Yi, et al. Two layer intelligent charging and discharging strategy of electric vehicle considering wind power and user satisfaction[J]. Transaction of China Electrotechnical Society, 2015, 30(5): 85-97.
本文引用 [1]
[25]
王行行，赵晋泉，王珂，等. 考虑用户满意度和配网安全的电动汽车多目标双层充电优化[J]. 电网技术，2017, 41(7): 2165-2172.
WANG Xingxing, ZHAO Jinquan, WANG Ke, et al. Multi objective double-layer charging optimization of electric vehicles considering user satisfaction and distribution network safety[J]. Power System Technology, 2017, 41(7): 2165-2172.
本文引用 [1]
[26]
于会群，尹申，张浩，等. 考虑电动汽车用户满意度的微网分层优化调度策略[J]. 中国电力，2020, 53(12): 87-95.
YU Huiqun, YIN Shen, ZHANG Hao, et al. Microgrid hierarchical optimal scheduling strategy considering electric vehicle user satisfaction[J]. Electric Power, 2020, 53(12): 87-95.
本文引用 [1]
[27]
李付存. 电动汽车V2G技术及其充电机的研究[D]. 哈尔滨：哈尔滨工业大学，2013.
LI Fucun. Research on V2G technology and charger of electric vehicle[D]. Harbin: Harbin University of technology, 2013.
本文引用 [1]
[28]
史晨豪，唐忠，戴尉阳，等. 基于多要素改进NSGA Ⅱ算法的有源配电网多目标优化策略[J]. 供用电，2021, 38(6): 50-55.
SHI Chenhao, TANG Zhong, DAI Weiyang, et al. Multi objective optimization strategy of active distribution network based on multi-element improved NSGA Ⅱ algorithm[J]. Power Supply and Consumption, 2021, 38(6): 50-55.
本文引用 [1]
[29]
DEB K, PRATAP A, AGARWAL S, et al. A fast and elitist multi objective genetic algorithm: NSGA-Ⅱ[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
本文引用 [1]
[30]
顾清华，莫明慧，卢才武，等. 求解约束高维多目标问题的分解约束支配NSGA-Ⅱ优化算法[J]. 控制与决策，2020, 35(10): 2466-2474.
GU Qinghua, MO Minghui, LU Caiwu, et al. Decomposition constraint dominated NSGA-Ⅱ optimization algorithm for constrained high-dimensional multi-objective problems[J]. Control and Decision Making, 2020, 35(10): 2466-2474.
本文引用 [1]
[31]
郑夏，马良. 一种多目标非线性优化的NSGA-Ⅱ改进算法[J]. 微电子学与计算机，2020, 37(7): 47-53.
ZHENG Xia, MA Liang. An improved NSGA-Ⅱ algorithm for multi-objective nonlinear optimization[J]. Microelectronics and Computer, 2020, 37(7): 47-53.
本文引用 [1]
[32]
AGRAWAL S, PANIGRAHI B K, TIWARI M K. Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch[J]. IEEE Transactions on Evolutionary Computation, 2008, 12(5): 529-541.
本文引用 [1]
[33]
崔杨，李崇钢，赵钰婷，等. 考虑风-光-光热联合直流外送的源-网-荷多时段优化调度方法[J]. 中国电机工程学报，2022, 42(2): 559-573.
CUI Yang, LI Chonggang, ZHAO Yuting, et al. Source network load multi period optimal scheduling method considering wind light photothermal combined DC transmission[J]. Proceedings of the CSEE, 2022, 42(2): 559-573.
本文引用 [1]

基金

国家自然科学基金项目(61703144)

PDF(1403 KB)

Accesses

Citation

Detail
段落导航
相关文章
版权所有 © 《分布式能源》编辑部
地址：北京市石景山区银河财智中心1号楼B座　
邮编：100040　
电话：010-80732111　
E-mail：fbshny@cdt-kxjs.com
技术支持：北京玛格泰克科技发展有限公司
订阅号
服务号

/

〈 〉