基于区域配电网有序充电系统的设计与实现
Design and Implementation of Orderly Charging System Based on Regional Distribution Network
摘要:
为减小规模化电动汽车无序充电行为对区域电网的影响,即减少区域电网负荷峰值的增加,电动汽车作为可响应需求的移动负荷,其对电网的影响力随着规模的扩大日益凸显。为了发挥其作为可控负荷的潜力,促进电网与用户间的互动,本文提出基于区域配电网的有序充电的系统,该系统可实现充电桩状态和配电网负荷数据的监测与传输,随后根据有序充电策略的设计原则和管理策略,并结合当前区域内配电网用电负荷、电动车辆运营情况和车辆电量等多种情况,使用多维度多目标算法自动生成有序充电策略。最后以某区域内的充电为应用场景,经过多次试验,结果表明按生成的控制策略,通过引导电动汽车进行有序充电,可以达到降低日负荷峰谷差的目的。
Abstract:
In order to reduce the impact of large-scale disorderly charging behavior of electric vehicles on the regional power grid, that is, to reduce the increase of peak load in the regional power grid, as a mobile load that can respond to demand, the influence of electric vehicles on the power grid becomes increasingly prominent with the expansion of the scale. In order to make full use of its potential as controllable load and promote the interaction between power grid and users, an orderly charging system based on regional distribution network is proposed. The system can monitor and transmit the battery status and load data of distribution network. Then, according to the design principle and management strategy of orderly charging strategy, according to the regional distribution of power grid load, electric vehicle operation and vehicle power, combining multi-dimension and multi-objective, the orderly charging strategy is automatically generated. Finally, the charging in a certain area is an application scenario. After many experiments, the results show that according to the generated control strategy, the daily load peak-valley difference can be reduced by guiding the electric vehicle to charge orderly.
参考文献
|
[1]
|
陈忠华, 王才倩, 陈嘉敏, 等. V2G模式下的电动汽车有序充放电控制模型研究[J]. 浙江电力, 2019, 38(8): 37-42.
|
|
[2]
|
中华人民共和国公安部交通管理局. 2018年机动车保有量达3.27亿辆[EB/OL]. http://www.mps.gov.cn, 2019-01-11.
|
|
[3]
|
许少伦, 严正, 冯冬涵, 等. 基于多智能体的EV充电协同控制策略[J]. 电力自动化设备, 2014, 34(11): 7-13.
|
|
[4]
|
王建, 吴奎华, 刘志珍. 电动汽车充电对配电网负荷的影响及有序控制研究[J]. 电力自动化设备, 2013, 33(8): 47-52.
|
|
[5]
|
Liu, H., Zeng, P.L., Guo, J.Y., et al. (2015) An Optimization Strategy of Controlled Electric Vehicle Charging Considering Demand Side Response and Regional Wind and Photovol-taic. Journal of Modern Power Systems and Clean Energy, 3, 232-239. [Google Scholar] [CrossRef]
|
|
[6]
|
胡泽春, 宋永华, 徐智威. 电动汽车接入电网的影响与利用[J]. 中国电机工程学报, 2012, 32(4): 1-10.
|
|
[7]
|
孙晓明, 王玮, 苏粟, 等. 基于分时电价的电动汽车有序充电控制策略设计[J]. 电力系统自动化, 2013, 37(1): 191-195.
|
|
[8]
|
葛少云, 黄镠, 刘洪. 电动汽车有序充电的峰谷电价时段优化[J]. 电力系统保护与控制, 2012, 40(10): 1-5.
|
|
[9]
|
黄润, 周鑫, 严正. 计及电动汽车不确定性的有序充电调度策略[J]. 现代电力, 2012, 29(3): 57-63.
|
|
[10]
|
Yang, G., Tong, B., Qiao, D., et al. (2008) Sensor-Aided Overlay Deployment and Relocation for Vast-Scale Sensor Networks. The 27th Conference on Computer Communications, Phoenix, 13-18 April 2008, 2216-2224. [Google Scholar] [CrossRef]
|
|
[11]
|
Yao, L. and Lu, H.R. (2009) A Two-Way Direct Control of Central Air-Conditioning Load via the Internet. IEEE Transactions on Power Delivery, 24, 240-248. [Google Scholar] [CrossRef]
|