| 引用本文: | 付学谦,孙宏斌,郭庆来,张秀容.能源互联网供能质量综合评估[J].电力自动化设备,2017,37(3): |
| FU Xueqian,SUN Hongbin,GUO Qinglai,ZHANG Xiurong.Comprehensive evaluation of energy quality for energy internet[J].Electric Power Automation Equipment,2017,37(3): |
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| 摘要: |
| 由于现有算法的限制和约束，面向电力系统的电能质量评估方法不适用于含多种分布式能源的能源互联网。为了得到能源互联网综合质量情况，需要提出面向多种分布式能源的综合评估方法。基于国家电能质量、室内空气质量和污染物排放标准，提出了将动态权重函数、二维惩罚函数、突变决策理论和自组织特征映射网络用于能源互联网供能质量综合评估的应用思路。最后，采用2个算例验证了所提方法的有效性，并得到了能源互联网供能质量的综合指标数值和等级评估结果。 |
| 关键词: 能源互联网 供能质量 二维惩罚函数 动态权重函数 突变隶属函数 自组织特征映射网络 综合评估 |
| DOI：10.16081 ／ j.issn.1006－6047.2016.10.001 |
| 分类号: |
| 基金项目:国家科技支撑计划课题（2015BAA01B04）；国家自然科学基金创新研究群体科学基金资助项目（51321005）；中国博士后科学基金资助项目（2016M590096） |
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| Comprehensive evaluation of energy quality for energy internet |
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FU Xueqian1, SUN Hongbin1, GUO Qinglai1, ZHANG Xiurong2
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1.State Key Lab of Control and Simulation of Power Systems and Generation Equipments， Department of Electrical Engineering，Tsinghua University，Beijing 100084，China;2.School of Electronics and Information Engineering，Beihang University，Beijing 100191，China
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| Abstract: |
| Due to the constraints and limitations of existing algorithms，the power quality evaluation methods of power system are not suitable for the energy internet with multiple distributed energy resources. A comprehensive evaluation method orienting to multiple distributed energy resources is proposed to assess the comprehensive quality of energy internet. An application concept based on the state standards of power quality，indoor air quality and pollutant discharge is proposed to apply the dynamic weight function，two-dimensional penalty function，catastrophe theory and self-organizing feature map network to the comprehensive evaluation of energy quality for the energy internet. The validity of the proposed method is analytically verified by two cases，and the energy quality indexes and levels of energy internet are comprehensively evaluated. |
| Key words: energy internet energy quality two-dimensional penalty function dynamic weight function catastrophe membership function self-organizing feature map network comprehensive evaluation |
