【摘要】 为了充分挖掘电动汽车调节能力，提高用户调控精度，提出了一种面向多元调控需求的电动汽车用户可调性评估方法。首先，考虑电网多元调控需求和用户行为特性，从引导难度、引导效果两个角度构建了电动汽车用户可调性评估指标体系；其次，建立可调性两阶段评估模型，采用改进层间相关赋权法确定指标客观权重，并利用改进模糊C-均值算法对用户引导难度聚类，实现潜力用户的初步选择；进而针对市场需求差异问题，采用模糊层次分析法计算指标主观权重，基于纳什均衡得到最优组合权重，利用改进优劣解距离法对用户引导效果进行量化排序，实现用户可调性的综合评估；最后，以国网智慧车联网平台电动汽车用户相关数据进行算例分析，结果表明，所提方法具有一定的适用性与可靠性，有助于实现电动汽车负荷精准引导，为多类型市场调控提供参考。更多还原

【Abstract】 In order to fully tap the adjustment ability of electric vehicles and improve the accuracy of user control, a user adjustability evaluation method for electric vehicles with multiple control needs was proposed. Firstly, considering the multiple regulation and control needs of the power grid and the characteristics of user behavior, the user adjustability evaluation index system of electric vehicles was constructed from the perspectives of guidance difficulty and guidance effect. Secondly, a two-stage evaluation model of adjustability was established, the improved inter-layer correlation weighting method was used to determine the objective weight of the index, and the improved fuzzy C-means algorithm was used to guide the difficulty clustering of users, so as to realize the initial selection of potential users. Then, in view of the problem of market demand difference, the fuzzy analytic hierarchy process was used to calculate the subjective weight of the index, the optimal combination weight was obtained based on the Nash equilibrium, and the improved advantage and disadvantage solution distance method is used to quantitatively rank the user guidance effect, so as to realize the comprehensive evaluation of user adjustability. Finally, a case study was conducted using data related to electric vehicle users on the state grid smart connected vehicle platform. The results showe that the proposed method is applicable and reliable, which can help achieve precise guidance of electric vehicle loads and provide reference for multi type market regulation.更多还原