粗糙模糊环境下电力用户负荷响应潜力评估

Power User Load Response Potential Assessment under Fuzzy-Rough Environment

深度探索用户负荷可调节潜力是国家电力市场精细化发展的迫切需求。为有效感知电力用户负荷综合响应潜力,提出一种模糊粗糙环境下的混合评估模型。首先,从经济性、用户特性、负荷特性、信息特性等4个维度构建负荷响应潜力指标体系;其次,充分考虑评估中个体判断的模糊性和群体偏好的多样性,采用模糊粗糙数对个体语义评估信息进行处理和集结;然后,将模糊粗糙熵权法和逐步加权评估比率分析法(step-wise weight assessment ratio analysis,SWARA)相结合确定指标综合权重,并采用基于模糊粗糙数的改进多属性边界逼近区域比较法(multi-attributive border approximation area comparison,MABAC)计算电力用户针对属性函数的负荷响应潜力综合评估值,从而获取潜力排序结果;最后,以多个行业的电力用户负荷综合响应潜力评估为例,验证所提模型的有效性。

In-depth exploration of user load adjustment potential is an urgent need for the refined development of the national power market.To effectively perceive the comprehensive load response potential of power users,a hybrid assessment model in fuzzy-rough environment is proposed.Firstly,a load response potential evaluation indicator system is constructed from the dimensions of economy,user load characteristics,and information characteristics.Secondly,the fuzzy-rough number is used to process and aggregate the individual linguistic evaluation information,which fully considers the ambiguity of individual judgment and the diversity of group preferences in the evaluation.On this basis,the fuzz-rough entropy weight method and step-wise weight assessment ratio analysis(SWARA)method are combined to determine the comprehensive weight of the indicators;and the improved multi-attributive border approximation area comparison(MABAC)based on rough-fuzzy numbers is adopted to calculate the comprehensive assessment value of the power user’s load response potential for the attribute function,thereby obtaining the potential ranking result.A case study of load response potential evaluation of power users in multiple industries in Nanjing is presented to illustrate the effectiveness of the proposed model.