摘要
针对屋顶光伏并网方式无序的问题,构建包含稳定性、经济性和低碳性三个维度的评价指标体系,并设计一种基于模糊层次分析法(fuzzy analytic hierarchy process,FAHP)和改进CRITIC法组合赋权评估模型。由于传统单一赋权法具有一定的偏向性,为此利用FAHP对一级指标进行主观赋权来突显评价目的。同时考虑相关系数的正负以及数据的离散程度,采用熵权法优化的CRITIC算法对二级指标进行客观赋权以增强权重的科学性,进而通过组合赋权得到最终权重。最后以某地屋顶光伏为例设置两组仿真算例,通过5种赋权法分别对指标进行赋权,并采用逼近理想序列算法(technique for order preference by similarity to ideal solution,TOPSIS)进行综合评分。经过对比分析说明了将碳交易和辅助服务收益纳入经济性指标的合理性,以及所提指标体系与评价方法的有效性。
There is a problem of disordered grid-connection mode of roof photovoltaics.Thus an evaluation index system containing three dimensions of stability,economy and low carbon is constructed,and a weight evaluation model based on fuzzy analytic hierarchy process(FAHP)and improvement CRITIC method is designed.Because of the bias of the traditional single weighting method,FAHP is used to give subjective weighting to the first level index to highlight the purpose of evaluation.At the same time,considering the positive and negative correlation coefficients and the discrete degree of data,the CRITIC algorithm optimized by the entropy weight method is adopted to objectively weigh the second-level indicators to enhance the scientific weight,and then the final weight is obtained through combination weight.Finally,two sets of simulation examples are set for a rooftop photovoltaic system.Five weighting methods are used to assign weights to the indicators,and the topsis algorithm is used to perform comprehensive scoring.After comparative analysis,the rationality of including the income from carbon trading and auxiliary services into the economic indicators is demonstrated.The effectiveness of the proposed index system and evaluation method is shown.
作者
陈晨
闫向阳
齐桓若
康祎龙
何进
米阳
CHEN Chen;YAN Xiangyang;QI Huanruo;KANG Yilong;HE Jin;MI Yang(Economic and Technological Research Institute of State Grid Henan Electric Power Company,Zhengzhou 450000,China;College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2023年第15期97-108,共12页
Power System Protection and Control
基金
国家自然科学基金项目资助(61873159)
上海市自然科学基金项目资助(22ZR1425500)。
