摘要
围绕规模化屋顶光伏的选优建设问题,提出一种规模化屋顶光伏建设方案的综合评价方法。基于屋顶光伏建设的相关方分析,从供电影响侧、环保侧、经济侧、市场侧角度构建一套适用于屋顶光伏建设决策的综合评价指标体系,供电影响侧考虑并网运行质量与匹配度,环保侧体现绿色低碳效益,经济侧关注投资建设效益,市场侧反映应用参与度与接受度;采用层次分析-G1结合赋权法、改进的基于指标相关性的指标权重确定法分别求解指标主、客观权重,并通过改进的最小偏差组合赋权模型确定指标综合权重,采用优劣解距离法完成方案的评价与决策。算例仿真结果验证了所提方法的有效性。
Focusing on the optimization problem of large-scale roof top photovoltaic construction,a comprehensive evaluation method for the construction scheme of large-scale roof top photovoltaic is proposed.Based on the analysis of relevant parties in roof top photovoltaic construction,a comprehensive evaluation index system suitable for decision-making of roof top photovoltaic construction is built from the perspectives of power supply influence side,environmental protection side,economy side,and market side,the quality and matching of grid-connected operation are considered at the power supply influence side,the green and low-carbon benefits are reflected at the environmental protection side,the investment and construction benefits are focused at the economy side,and the application participation and acceptance are reflected at the market side.The analytic hierarchy process-G1 combination weighting method and an improved criteria importance through intercriteria correlation method are respectively adopted to solve the subjective and objective weights of the indicators,and the comprehensive weights of the indicators are determined through an improved minimum deviation combination weighting model,the technique for order preference by similarity to an ideal solution is adopted to complete the evaluation and decision-making.The simulative results of examples verify the effectiveness of the proposed method.
作者
张晋铭
欧阳森
张杰宁
郭一帆
彭琦
ZHANG Jinming;OUYANG Sen;ZHANG Jiening;GUO Yifan;PENG Qi(School of Electric Power,South China University of Technology,Guangzhou 510640,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第7期287-294,共8页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(52177085)。
关键词
屋顶光伏
综合决策
层次分析-G1
改进的基于指标相关性的指标权重确定法
改进的最小偏差组合赋权
roof top photovoltaic
comprehensive decision-making
analytical hierarchy process-G1
improved criteria importance through intercriteria correlation method
improved minimum deviation combination weighting