| 引用本文: | 王明深,穆云飞,贾宏杰,戚艳,于建成,齐文瑾.考虑电动汽车集群储能能力和风电接入的平抑控制策略[J].电力自动化设备,2018,(5): |
| WANG Mingshen,MU Yunfei,JIA Hongjie,QI Yan,YU Jiancheng,QI Wenjin.Smoothing control strategy considering energy storage capability of electric vehicle aggregators and wind power integration[J].Electric Power Automation Equipment,2018,(5): |
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| 摘要: |
| 为促进风电在电网中的消纳吸收，提出了考虑电动汽车集群储能能力和风电接入的平抑控制策略。首先对单体电动汽车入网后的储能特性进行精细化建模，充分考虑储能容量对不同荷电状态(SOC)的电动汽车有功响应能力的约束，在此基础上构建了电动汽车集群储能能力评估模型；进而针对多个电动汽车集群的协同控制，提出了考虑集群储能能力差异性的联络线功率波动平抑控制策略。该策略根据SOC自适应算法，在考虑各电动汽车响应能力约束的基础上，根据自身SOC水平确定各电动汽车的目标功率值，从而充分利用电动汽车与电网交换功率的连续调节能力；同时，该策略提出2种不同的交换功率控制方法，并探究不同方法在减少放电过程方面的差异性。最后，算例中利用电动汽车集群储能能力平抑联络线的功率波动，仿真结果验证了所提出的电动汽车集群储能能力评估模型和平抑控制策略的有效性。 |
| 关键词: 电动汽车；集群；风电；储能能力；平抑控制；SOC SOC自适应算法 |
| DOI：10.16081/j.issn.1006-6047.2018.05.030 |
| 分类号:TM614;U469.72 |
| 基金项目:国家高技术研究发展计划(863计划)资助项目(2015AA050403)；国家自然科学基金资助项目(51677124,51625702)；国网天津市电力公司科技项目(KJ17-1-08)；国际应用能源联合实验室(分布式能源与微网) |
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| Smoothing control strategy considering energy storage capability of electric vehicle aggregators and wind power integration |
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WANG Mingshen1, MU Yunfei1, JIA Hongjie1, QI Yan2, YU Jiancheng2, QI Wenjin3
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1.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;2.Electric Power Research Institute of Tianjin Electric Power Corporation, Tianjin 300384, China;3.Jiangsu Electric Power Design Institute, Nanjing 211102, China
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| Abstract: |
| To promote the penetration of wind power, a smoothing control strategy is developed considering the energy storage capability of EV(Electric Vehicle) aggregators and the wind power integration. Firstly, based on the energy storage model of an individual EV considering the impact of energy storage capacity on active power limitations of the EVs under different SOC(State Of Charge) levels, the energy storage capability evaluation model for EV aggregator is established. Then a smoothing control strategy for the tie-line power fluctuations is proposed to realize the coordinated control of different EV aggregators with different energy storage capability. Based on the proposed SOC-adaptive algorithm and the power output limitations of EVs, the power outputs of EVs with different SOC levels are determined respectively, which helps to fully utilize the continuous power adjustment of the plug-in EVs. Meanwhile, two different control methods for EVs' power outputs are developed in the smoothing control strategy, and the differences between them in decreasing discharging process are studied. At last, the energy storage capacity of all EV aggregators is used to smooth the tie-line power fluctuations in the case studies, and the simulative results validate the effectiveness of the energy storage capability evaluation model for EV aggregator and the proposed smoothing control strategy. |
| Key words: electric vehicles aggregator wind power energy storage capability smoothing control SOC SOC-adaptive algorithm |
