| 引用本文: | 田园园,廖清芬,徐雨田,陈懿.基于有序充电策略的换电站及分布式电源多场景协调规划方法[J].电力自动化设备,2017,37(9): |
| TIAN Yuanyuan,LIAO Qingfen,XU Yutian,CHEN Yi.Multi-scenario coordinated planning method of EV battery-swapping station and distributed generation based on coordinated charging strategy[J].Electric Power Automation Equipment,2017,37(9): |
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| 摘要: |
| 通过引入电动汽车换电站的有序充电策略，以系统建设运行成本、综合净负荷波动指标以及网络能量损耗最小为目标，提出统筹考虑电动汽车换电站和分布式电源的多场景协调规划方法，并给出满足电动汽车换电需求约束和备用电池存在性约束的备用电池调度方案和最少备用电池计算方法。结合风光电源出力的季节特性，针对IEEE 33节点系统，利用生物地理优化算法进行多场景规划仿真分析，验证了所提规划方法可利用换电站有序充电策略平抑配电网综合净负荷波动，起到了削峰填谷的作用，大幅降低了网络能量损耗，显著提高了风光电源的可规划容量；同时所采用的最少备用电池计算方法，可充分考虑换电站内备用电池在一天中的循环利用，在维持有序充电策略周转的前提下能有效缓解电池储备压力，大幅降低了换电站投资成本。 |
| 关键词: 电动汽车 换电站 分布式电源 多场景规划 备用电池 有序充电 |
| DOI：10.16081/j.issn.1006-6047.2017.09.009 |
| 分类号:TM761;U469.72 |
| 基金项目:国家电网公司总部科技研究项目(5211011400BT) |
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| Multi-scenario coordinated planning method of EV battery-swapping station and distributed generation based on coordinated charging strategy |
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TIAN Yuanyuan, LIAO Qingfen, XU Yutian, CHEN Yi
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School of Electrical Engineering, Wuhan University, Wuhan 430072, China
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| Abstract: |
| A multi-scenario coordinated planning method of EV(Electric Vehicle) BSS(Battery-Swapping Station) and distributed generation is proposed by introducing the coordinated charging strategy of EV BSS, which takes the minimum construction and operation cost, fluctuation index of comprehensive load and network energy loss as its objective. A spare battery scheduling scheme and a calculation method of minimum amount of battery are also introduced, which satisfies the constraints of battery-swapping demand and reserve battery existence. According to the seasonality characteristics of wind power output and photovoltaic output, the biogeography-based optimization method is adopted for the multi-scenario planning simulation on IEEE 33-bus system, which verifies that the proposed method can smooth the fluctuation of comprehensive net load of distribution network by the coordinated charging strategy of EV BSS, achieving peak load shifting, significantly reducing the energy loss of network, and greatly improving the planning capacity of wind and photovoltaic power. Meanwhile, the proposed calculation method for minimum reserve battery can make full use of the daily battery recycling in the BSS and effectively relieve the stress of battery reserve on the premise of maintaining the coordinated charging, significantly reducing the investment cost of BSS. |
| Key words: electric vehicles battery-swapping station distributed power generation multi-scenario planning spare battery coordinated charging |
