| 引用本文: | 程 杉,杨 堃,魏昭彬,赵孟雨.计及电价优化和放电节制的电动汽车充电站有序充放电调度[J].电力系统保护与控制,2021,49(11):1-8.[点击复制] |
| CHENG Shan,YANG Kun,WEI Zhaobin,ZHAO Mengyu.Orderly charging and discharging scheduling of an electric vehicle charging station considering price optimization and discharge behavior control[J].Power System Protection and Control,2021,49(11):1-8[点击复制] |
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| 摘要: |
| 针对充电站无区别对待电动汽车的充放电、未考虑电池损耗的问题，提出了基于节制放电策略和计及充、放电电价与充、放电功率优化的充电站调度模型。模型以配电网与充电站交互功率和充电站运营收益两方面为目标，考虑电动汽车放电时的电池损耗问题，根据配电网原始负荷的波动，提出限制充电站放电行为只针对负荷高峰时段的策略。同时控制电池的单次放电深度，以减小电池的损耗与放电成本。最后通过粒子群算法对模型进行求解，算例的对比与分析验证了所提方法的有效性与合理性。 |
| 关键词: 电动汽车 充电站 充放电价 节制放电 |
| DOI：DOI: 10.19783/j.cnki.pspc.201025 |
| 投稿时间：2020-08-22修订日期：2020-11-19 |
| 基金项目:国家自然科学基金项目资助(51607105) |
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| Orderly charging and discharging scheduling of an electric vehicle charging station considering price optimization and discharge behavior control |
| CHENG Shan1,YANG Kun1,WEI Zhaobin1,ZHAO Mengyu2 |
| (1. Engineering Center for Intelligent Energy Technology (China Three Gorges University), Yichang 443002, China;
2. Xuchang Power Supply Company, State Grid Henan Electric Power Co., Ltd., Xuchang 461000, China) |
| Abstract: |
| There is a problem that charging stations treat EV charging and discharging without distinction. To tackle this an optimal scheduling model including dynamic charging price, discharging price, charging and discharging power based on discharge behavior control is proposed. The model takes the interactive fluctuation of power between the charging station and the distribution network and the operating income of the charging station as the objective, and according to the fluctuation of the original load of the distribution network, discharging is only for the peak load period. The cycle life of the battery is also considered to limit its single discharge depth to reduce the cost of battery loss and discharge. The model using a particle swarm optimization algorithm and the validity and rationality of the proposed method are verified by comparison and analysis of different examples.
This work is supported by the National Natural Science Foundation of China (No. 51607105). |
| Key words: electric vehicle charging station charging and discharging price discharge behavior control |
