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Research on customer energy efficiency optimization model based on fuzzy comprehensive evaluation and principal component analysis |
Hong Huawei1, Wang Feng1, Zheng Peng1, Wen Buying2 |
1. State Grid Fujian Electric Power Company, Fuzhou 350001; 2. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108 |
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Abstract The customer's energy efficiency reflects the customer's power quality at a certain level. Evaluating and optimizing the energy efficiency is the key to help customers improve the power quality. Electricity customers often accumulate a large amount of energy consumption information in the actual production process. In order to better use these data in evaluating the energy efficiency of customers and guiding users to improve energy efficiency. This paper proposes a customer electrical energy efficiency evaluation method based on fuzzy comprehensive evaluation and principal component analysis. Experiments show that this method can evaluate the energy efficiency of power users more accurately. In order to help power users improve the efficiency of power consumption and the quality of power consumption, they can lay the foundation for customers to reduce the cost of electricity.
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Received: 31 March 2020
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Cite this article: |
Hong Huawei,Wang Feng,Zheng Peng等. Research on customer energy efficiency optimization model based on fuzzy comprehensive evaluation and principal component analysis[J]. Electrical Engineering, 2020, 21(10): 29-34.
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URL: |
http://dqjs.cesmedia.cn/EN/Y2020/V21/I10/29
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[1] 施美芬. 高校电力能源管理系统的建设与研究[J]. 微型电脑应用, 2019, 35(2): 77-79. [2] 马超, 宋聪月, 王雪. 大客户能效管理增值服务云平台应用[J]. 中国电力企业管理, 2019(2): 56-57. [3] 方彦军, 唐猛, 黄巍. 高耗能企业电力能效等级评估方法[J]. 电测与仪表, 2015, 52(6): 6-10, 54. [4] 赖晓路, 张腾飞, 肖碧涛, 等. 智能楼宇能效管理和控制系统设计与实现[J]. 自动化应用, 2016(11): 14-16, 27. [5] 邓剑琪. 电能质量和能效管理相结合在节电节能中的工程应用[J]. 电子世界, 2018(14): 110-112. [6] 廖满英. 基于回归分析的办公建筑用能管理方法[J]. 智能建筑, 2014(6): 59-61. [7] 陈缨, 杨勇波, 羊静, 等. 新型能效采集协议在能效管理中的应用与研究[J]. 电气应用, 2014, 33(20): 68-72. [8] 余中建, 龚代圣, 戴聿雯. 基于协同节能理念的电网能效管理系统研究[J]. 现代电子技术, 2012, 35(23): 199-202. [9] 陈卫, 杨波, 张兆云, 等. 计及电动汽车充电站接入的配电网承载能力评估与优化[J]. 电工技术学报, 2014, 29(8): 27-35, 45. [10] 韦国燕. 关于数据预处理的一种方法——隶属函数的修改[J]. 统计与决策, 2008(5): 150-151. [11] 魏鹏飞, 郭力萍. 基于需求侧响应的配电网供电能力模糊综合评估[J]. 水电能源科学, 2019, 37(10): 181-185, 208. [12] 韩小孩, 张耀辉, 孙福军, 等. 基于主成分分析的指标权重确定方法[J]. 四川兵工学报, 2012, 33(10): 124-126. [13] 律方成, 金虎, 王子建, 等. 基于主成分分析和多分类相关向量机的GIS局部放电模式识别[J]. 电工技术学报, 2015, 30(6): 225-231. [14] 杨丽, 李先允, 万芳茹. 大电网紧急控制系统实验验证评估体系[J]. 电气技术, 2016, 17(6): 56-61. |
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