陈业夫,王钦,蔡新雷,喻振帆,宋东阔
CHEN Yefu,WANG Qin,CAI Xinlei,YU Zhenfan,SONG Dongkuo

• 1:广东电网有限责任公司电力调度控制中心
• 2:国电南瑞科技股份有限公司

摘要(Abstract)：

针对目前现行较为固定的分时电价策略难以引导电动汽车参与系统风电消纳的问题，提出一种计及规模化电动汽车调控潜力的含风电系统优化调度策略。首先，从可调度时间和可调度空间两个角度出发构建电动汽车调控潜力评估指标，建立规模化电动汽车参与电网调控的潜力评估模型；其次，参考调控潜力评估结果进行电动汽车分群，建立兼顾风电消纳与电动汽车集群间差异的分群分时电价模型；然后，以电网侧总负荷峰谷差最低、用户侧电动汽车用户充电费用最低为目标，以电动汽车集群的充放电状态为决策变量，建立一种综合考虑电网与电动汽车用户利益的优化模型；最后通过实例仿真验证了所提方法的可行性与有效性。
In response to the current challenge of fixed time-of-use pricing strategies that struggle to incentivize electric vehicles(EVs) to participate in wind power consumption, an optimal scheduling strategy for wind-integrated systems considering the regulatory potential of large-scale electric vehicles. Firstly, based on schedulable time and space, assessment indicators of regulatory potential of EVs are developed to establish a potential assessment model for the large-scale involvement of electric vehicles in grid regulation. Subsequently, EVs are categorized based on the regulatory potential assessment results, and a clustering-based time-of-use pricing model is devised that considers the differences between wind power consumption and EV clusters. Moreover, with the objectives of minimizing the peak-valley difference in total load on grid side and minimizing charging costs for EV users, and charging and discharging states of EV clusters serving as decision variables, a model is established, taking into consideration interests of both grid and EV user. Ultimately, the feasibility and effectiveness of the proposed method are verified through example simulations.

关键词(KeyWords)： 电动汽车;风电消纳;潜力评估;分群分时电价;优化调度
EV;wind power consumption;potential assessment;clustering-based time-of-use pricing;optimal scheduling

Abstract:

Keywords:

基金项目(Foundation): 中国南方电网有限责任公司科技项目（036000KK52220004）

作者(Author): 陈业夫,王钦,蔡新雷,喻振帆,宋东阔
CHEN Yefu,WANG Qin,CAI Xinlei,YU Zhenfan,SONG Dongkuo

DOI: 10.19585/j.zjdl.202404010

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