| 引用本文: | 梅哲,詹红霞,杨孝华,邓强,张豪,朱金龙.考虑电流保护的配电网电动汽车与分布式能源配合优化运行策略[J].电力自动化设备,2020,40(2): |
| MEI Zhe,ZHAN Hongxia,YANG Xiaohua,DENG Qiang,ZHANG Hao,ZHU Jinlong.Optimal operating strategy of distribution network based on coordination of electric vehicle and distributed energy resource considering current protection[J].Electric Power Automation Equipment,2020,40(2): |
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| 摘要: |
| 为保证配电网原有保护的正确动作和减小电动汽车无序入网与分布式能源的波动给配电网带来的影响，提出了一种考虑电流保护的电动汽车与分布式能源配合优化运行策略。为提高求解效率，电动汽车采用了集群控制策略。在不修改原有保护配置的前提下，依据配电网负荷均方差与车主费用搭建了基于融合节点的日前优化运行模型。基于电流保护显性、隐性指标与电压指标，对配电网电动汽车最优入网规模进行了评估。在最优入网规模下，基于电动汽车与分布式能源的配合得到了配电网的最优运行工况，并通过状态空间实时模型对其进行修正，以更符合实际情况。算例分析表明，所提策略在保障车主利益的前提下，能保证优化周期内所有时刻电流保护的正确动作，电压水平也维持在允许范围；同时，其能平抑负荷波动，降低负荷水平和减小网损。 |
| 关键词: 配电网 电动汽车 分布式能源 电流保护 集群控制 最优运行工况 |
| DOI：10.16081/j.epae.202001020 |
| 分类号:TM73;U469.72 |
| 基金项目:国家自然科学基金资助项目(51877181)；四川省教育厅资助项目(18ZB0566)；四川省电力电子节能技术与装备重点实验室资助项目(szjj2016-047) |
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| Optimal operating strategy of distribution network based on coordination of electric vehicle and distributed energy resource considering current protection |
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MEI Zhe1, ZHAN Hongxia1, YANG Xiaohua2, DENG Qiang1, ZHANG Hao1, ZHU Jinlong1
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1.School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China;2.State Grid Yunyang Power Supply Company of Chongqing Electric Power Company, Chongqing 404500, China
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| Abstract: |
| To ensure proper action of protection and reduce the influence of disordered charging of EV(Electric Vehicle) and fluctuation of DER(Distributed Energy Resource),an optimal operating strategy is proposed. This strategy is based on the coordination of EV and DER considering current protection. To improve the efficiency of solution, the cluster control strategy is adopted in EVs. This model is built without changing the original protection schemes based on information fusion nodes. Standard deviation of load and cost of EV owners are considered as objectives. Combined explicit and implicit indexes of current protection with voltage indicators, the optimal scale of EV access to the distribution network is assessed. The optimal operating states can be obtained by the coordination of EV and DER on the optimal scale. To conform to reality better, the states are amended by model predictive control. The proposed strategy is proved to ensure benefit of owners and proper action of protection anytime during optimal cycle by case analysis in three scenarios. And the strategy is also proved to maintain voltage at normal range, stabilize load fluctuation, decrease load level and reduce network losses. |
| Key words: distribution network electric vehicles distributed energy resources current protection cluster control optimal operating states |
