EN泛在电力物联网中考虑风电消纳的电动汽车充放电控制策略研究
Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things
- 发电技术 2021年42卷第5期 页码：561-567
- 作者机构：
北京信息科技大学自动化学院, 北京市 海淀区 100192
- 作者简介：
[ "陈小波(1991), 男, 硕士研究生, 研究方向为控制理论与控制工程及新能源发电, bertchen@vip.qq.com" ]
杨秀媛(1962), 女, 教授, 主要从事含新能源的电力系统分析与规划方面的研究工作, 本文通信作者, yangxy0912@163.com
- 基金信息：国家自然科学基金项目(51377011)
DOI：10.12096/j.2096-4528.pgt.20008
中图分类号： TK81收稿：2020-11-24，
纸质出版：2021-10-31
- 稿件说明：
移动端阅览
陈小波, 杨秀媛. 泛在电力物联网中考虑风电消纳的电动汽车充放电控制策略研究[J]. 发电技术, 2021,42(5):561-567.
Xiaobo CHEN, Xiuyuan YANG. Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things[J]. Power Generation Technology, 2021, 42(5): 561-567.
陈小波, 杨秀媛. 泛在电力物联网中考虑风电消纳的电动汽车充放电控制策略研究[J]. 发电技术, 2021,42(5):561-567. DOI： 10.12096/j.2096-4528.pgt.20008.
Xiaobo CHEN, Xiuyuan YANG. Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things[J]. Power Generation Technology, 2021, 42(5): 561-567. DOI： 10.12096/j.2096-4528.pgt.20008.
摘要
电动汽车的充放电负荷在一定程度上可以参与电网功率调节，从而可以达到削峰填谷及降低系统功率波动的目的。特别是对于含有风电场的电力系统，电动汽车入网还可以充当储能装置来提高风电利用率并降低风电出力功率波动对电网造成的冲击。研究了基于泛在电力物联网的电动汽车充放电控制策略，建立了含有风电入网及电动汽车充放电的数学模型，使用粒子群算法对不同数量的电动汽车入网调节后的调节效果进行了对比，通过算例分析验证了电动汽车参与电网调节的适用性与有效性。
Abstract
The charge and discharge load of electric vehicles can participate in the power regulation of power grid to a certain extent
so as to achieve the purpose of cutting peaks and filling valleys and reducing system power fluctuations. Especially for the power systems containing wind farms
electric vehicles can also serve as energy storage devices to increase the utilization of wind power and reduce the impact of wind power fluctuations on the power grid. The control strategy based on the ubiquitous power internet of things of charging-discharging of electric vehicles was studied. A mathematical model containing wind power connected to the grid and electric vehicle charging and discharging was established
and the particle swarm optimization algorithm was used to compare the adjustment effects of different the grid. The simulation results verify the applicability and numbers of electric vehicles after they were connected to effectiveness of electric vehicles participating in the grid adjustment.
关键词
Keywords
references
周刚, 肖斐, 艾芊, 等. 考虑风电接入的电网静态电压安全域计算[J]. 电力工程技术, 2020, 39(3): 23-29.
ZHOUG G, XIAO F, AI Q, et al. Calculation of power grid static voltage security region considering wind power integration[J]. Electric Power Engineering Technology, 2020, 39(3): 23-29.
陈池瑶, 陈晓明. 基于清洁能源消纳的风电规模入网机组启停间歇控制研究[J]. 电网与清洁能源, 2020, 36(9): 100-104.
CHEN C Y, CHEN X M. A study on start-stop intermittent control of large-scale wind power units based on clean energy absorption[J]. Power System and Clean Energy, 2020, 36(9): 100-104.
任德江, 吴杰康, 毛骁, 等. 考虑风电消纳的综合能源系统源荷协调运行优化方法[J]. 智慧电力, 2019, 47(9): 37-44.
REN D J, WU J K, MAO X, et al. Optimal method for source-load coordinated operation of integrated energy system considering wind power absorption[J]. Smart Power, 2019, 47(9): 37-44.
童小娇, 尹昆, 刘亚娟, 等. 包含可控负荷的微电网经济调度[J]. 电力自动化设备, 2015: 35(10): 21-36.
TONG X J, YIN K, LIU Y J, et al. Economic dispatch for microgrid with controllable loads[J]. Electric Power Automation Equipment, 2015: 35(10): 21-36.
陈小梅. 风能与水能互补发电系统的研究[J]. 能源与节能, 2014, 105(6): 69-71.
CHEN X M. Research on the wind-hydro complementary power generating system[J]. Energy and Conservation, 2014, 105(6): 69-71.
樊新东, 杨秀媛, 金鑫城. 风电场有功功率控制综述[J]. 发电技术, 2018, 39(3): 268-276.
FAN X D, YANG X Y, JIN X C. An overview of active power control in wind farms[J]. Power Generation Technology, 2018, 39(3): 268-276.
杨秀媛, 裘微江, 金鑫城, 等. 改进K近邻算法在风功率预测及风水协同运行中的应用[J]. 电网技术, 2018, 42(3): 772-778.
YANG X Y, QIU W J, JIN X C, et al. Wind power prediction based on improved k-nearest neighbor algorithm and its application in co-operation of wind and hydro powers[J]. Power System Technology, 2018, 42(3): 772-778.
江岳春, 何钟南, 刘爱玲. 基于改进BBO算法的风电-水电互补优化运行策略[J]. 电力系统保护与控制, 2018, 46(10): 39-47.
JIANG Y C, HE Z N, LIU A L. A complementary optimal operation strategy of wind power-hydropower based on improved biogeography-based optimization algorithm[J]. Power System Protection and Control, 2018, 46(10): 39-47.
杨秀媛, 陈麒宇, 王蒙, 等. 考虑网络约束的风电水电协同果蝇优化控制[J]. 中国电机工程学报, 2017, 37(18): 5286-5293.
YANG X Y, CHEN Q Y, WANG M, et al. Cooperating control for wind farm and hydro power plant based on the fruit fly optimization[J]. Proceedings of the CSEE, 2017, 37(18): 5286-5293.
徐韵, 颜湘武. 含可再生分布式电源参与调控的配电网动态分区实时无功优化方法[J]. 现代电力, 2020, 37(1): 42-51.
XU Y, YAN X W. Dynamic partitioning real-time reactive power optimization method for distribution network with renewable distributed generators participating in regulation[J]. Modern Electric Power, 2020, 37(1): 42-51.
董浩, 王宁, 陈堂龙, 等. 计及多类型交易的新能源与火电实时协调控制策略[J]. 现代电力, 2020, 37(1): 60-66.
DONG H, WANG N, CHEN T L, et al. Real-time coordinated control strategy for new energy and thermal power that takes into account spot transactions[J]. Modern Electric Power, 2020, 37(1): 60-66.
王毅, 陈启鑫, 张宁, 等. 5G通信与泛在电力物联网的融合: 应用分析与研究展望[J]. 电网技术, 2019, 43(5): 1575-1585.
WANG Y, CHEN Q X, ZHANG N, et al. Fusion of the 5G communication and the ubiquitous electric internet of things: application analysis and research prospects[J]. Power System Technology, 2019, 43(5): 1575-1585.
王晓冰, 杨金双, 李伟, 等. 面向大型城市综合体的泛在电力物联网建设思路[J]. 电气技术, 2020, 21(2): 71-76.
WANG X B, YANG J S, LI W, et al. Thoughts on the construction of ubiquitous power internet of things for large-scale urban complexes[J]. Electrical Engineering, 2020, 21(2): 71-76.
赵善俊, 樊彦国, 李大鹏, 等. 泛在电力物联网在电网生产作业安全管控工作中的应用实践[J]. 电气时代, 2019(12): 41-44.
ZHAO S J, FAN Y G, LI D P, et al. Application and practice of ubiquitous power internet of things in safety management and control of power grid production operations[J]. Electric Age, 2019(12): 41-44.
杨秀媛, 刘凤鸣, 陈麒宇, 等. 利益驱动的泛在电力物联网[J]. 现代电力, 2020, 37(1): 1-9.
YANG X Y, LIU F M, CHEN Q Y, et al. Profit-driven ubiquitous power internet of things[J]. Modern Electric Power, 2020, 37(1): 1-9.
蒋燕萍, 陈佩军, 陈海燕. 电动汽车集约型换电设施的设计研究[J]. 发电技术, 2019, 40(6): 535-539.
JIANGY P, CHEN P J, CHEN H Y. Research and design on intensive power exchange facility of electric vehicles[J]. Power Generation Technology, 2019, 40(6): 535-539.
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 Y H, YANG X Y, CHEN Q Y, et al. Review of intelligent charging and discharging control and application of electric vehicles[J]. Power Generation Technology, 2021, 42(2): 180-192.
陈宇, 彭潇, 丁婧, 等. 电动汽车参与风电场输出功率波动平抑方法研究[J]. 发电技术, 2019, 40(1): 91-98.
CHEN Y, PENG X, DING J, et al. Research on the method of stabilizing the power output fluctuation of wind farm by electric vehicles[J]. Power Generation Technology, 2019, 40(1): 91-98.
刘伟佳, 吴秋伟, 文福拴, 等. 电动汽车和可控负荷参与配电系统阻塞管理的市场机制[J]. 电力系统自动化, 2014, 38(24): 26-33.
LIU W J, WU Q W, WEN F S, et al. A market mechanism for participation of electric vehicles and dispatchable loads in distribution system congestion management[J]. Automation of Electric Power Systems, 2014, 38(24): 26-33.
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 G H, LEI X, YANG Y, et al. Two-layer smart charge-discharge strategies for electric vehicles considering wind generation and users' satisfaction[J]. Transactions of China Electrotechnical Society, 2015, 30(5): 85-97.
0
浏览量
0
下载量
0
CSCD
- Meta-XML下载
- BibTeX下载
- Endnote下载
- RefMan 下载
- NoteExpress下载
- NoteFirst下载
关联资源
相关文章
相关作者
相关机构
AI问答- 技术支持由北京北大方正电子有限公司提供 京ICP备09064830号-19
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies