| 基于交互能源机制的电动汽车充电站日前能量优化管理 |
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| 引用本文： | 黄啟茹,胡俊杰,单俊嘉.基于交互能源机制的电动汽车充电站日前能量优化管理[J].现代电力,2022,39(5):570-578. |
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| 作者姓名： | 黄啟茹 胡俊杰 单俊嘉 |
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| 作者单位： | 新能源电力系统国家重点实验室(华北电力大学)，北京市 昌平区 102206 |
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| 摘 要： | 针对光伏充电站能量优化管理问题，现有研究大多以电网为主体，而较少考虑其具备的产消者特性。为此，结合交互能源机制，提出了一种含光伏发电的电动汽车充电站日前能量优化管理方法。在初步保证配电网安全稳定运行的前提下，建立考虑光伏电源不确定性问题的充电站电能分布式交易模型。其次，利用拉格朗日分解原理和次梯度法进行求解得到日前电能计划，实现了电动汽车充电站间能量的优化共享和可再生能源的就地消纳，同时也保护了充电站信息隐私。最后，通过算例分析证明了所提模型的合理性和有效性。
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| 关 键 词： | 电动汽车 充电站 分布式调度 交互能源机制 电力市场 |
| 收稿时间： | 2021-07-14 |
A Day-ahead Energy Optimization Management Method for Electric Vehicle Charging Station Based on Interactive Energy Mechanism |
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| Affiliation: | State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Changping District, Beijing 102206, China |
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| Abstract: | In allusion to the energy optimization management of photovoltaic (abbr. PV) charging station, most of the existing studies take the power grid as the principal part and the characteristics of the producer and consumer processed by photovoltaic charging stations are less considered. For this reason, combining with the transactive energy mechanism a day-ahead energy optimization management method for electric vehicle (abbr. EV) charging station containing PV generation was proposed. Firstly, under the premise of preliminarily ensuring the secure and stable operation of distribution network, an electric energy distributed trading model, in which the uncertainty of PV power was taken into account, for charging station was established. Secondly, by use of Lagrange decomposition principle and the subgradient method the established model was solved and the day-ahead electric energy plan was obtained, so that the energy optimization sharing among EV charging stations and the onsite accommodation of renewable energy could be realized, meanwhile, the information privacy of charging stations was protected. Finally, by means of analysis on examples both rationality and validity of the established model were verified. |
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