| 电动汽车可调度能力模型与日内优先调度策略 |
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| 引用本文： | 杨晓东,任帅杰,张有兵,赵波,黄飞腾,谢路耀. 电动汽车可调度能力模型与日内优先调度策略[J]. 电力系统自动化, 2017, 41(2): 84-93 |
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| 作者姓名： | 杨晓东 任帅杰 张有兵 赵波 黄飞腾 谢路耀 |
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| 作者单位： | 浙江工业大学信息工程学院, 浙江省杭州市 310023,浙江工业大学信息工程学院, 浙江省杭州市 310023,浙江工业大学信息工程学院, 浙江省杭州市 310023,国网浙江省电力公司电力科学研究院, 浙江省杭州市 310014,浙江工业大学信息工程学院, 浙江省杭州市 310023,浙江工业大学信息工程学院, 浙江省杭州市 310023 |
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| 基金项目： | 国家自然科学基金资助项目(51507153);浙江省自然科学基金资助项目(LY16E070005) |
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| 摘 要： | 提出了"可调度能力"概念,表征单辆电动汽车(EV)基于车电互联技术接入特定配电网参与系统运行调控时的动态能量平衡能力,并构建了EV日内优先调度模型。首先,为精细量化EV可调度能力,综合EV电池损耗程度、用户信用度和反向供电能力等建立EV可调度能力分析模型;其次,以配电网总负荷峰谷差最小化为指标,结合EV可调度能力分析模型与供需两侧协同优化的两阶段优化调度模型,兼顾用户用车习惯确定可调度能力最优阈值;最后,基于新入网EV的可调度能力评估结果与最优阈值的数值关系,判断车辆有无优先调度权,从而构建了单辆车的事件驱动型日内优先调度方法。以某居民区充放电设施集群为例进行了仿真分析,算例结果验证了所提模型的合理性、有效性。
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| 关 键 词： | 电动汽车 可调度能力 最优阈值 综合评价 日内优先调度 |
| 收稿时间： | 2016-03-23 |
| 修稿时间： | 2016-12-18 |
Schedulable Ability Model and Priority-based Intraday Scheduling Strategy for Electric Vehicle |
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| YANG Xiaodong,REN Shuaijie,ZHANG Youbing,ZHAO Bo,HUANG Feiteng and XIE Luyao. Schedulable Ability Model and Priority-based Intraday Scheduling Strategy for Electric Vehicle[J]. Automation of Electric Power Systems, 2017, 41(2): 84-93 |
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| Authors: | YANG Xiaodong REN Shuaijie ZHANG Youbing ZHAO Bo HUANG Feiteng XIE Luyao |
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| Affiliation: | College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310014, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China and College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China |
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| Abstract: | A new concept of schedulable ability(SA)is proposed to represent the ability of dynamic and two-way energy balance for electric vehicles(EVs)in a certain distribution network, with a priority-based intraday scheduling optimization model for EVs built. Firstly, the SA model is formulated to analyze SA of EVs quantitatively, which takes battery loss, customer''s credit and discharging capability of EVs into account. Secondly, based on an analytic model of SA and two-stage supply-demand coordinated optimization method for EVs, the optimal threshold value of SA for EVs is obtained to minimize the peak-valley difference of distribution system load considering customer''s driving habit. Finally, the scheduling priority of EVs is determined by numerical comparison between its SA assessment result and the optimal threshold value of SA, thus creating the priority-based intraday scheduling strategy for EVs on the event-driven basis. A certain residential district is taken as an example to show the rationality and effectiveness of the proposed optimization model. This work is supported by National Natural Science Foundation of China(No. 51507153)and Zhejiang Provincial Natural Science Foundation of China(No. LY16E070005). |
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| Keywords: | electric vehicle(EV) schedulable ability(SA) optimal threshold value comprehensive evaluation priority-based intraday scheduling |
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