| 引用本文: | 周来,叶琳浩,杨雄平,张勇军,张尧.有源配电网设备利用率影响因子体系及其价值计算方法[J].电力自动化设备,2019,39(3): |
| ZHOU Lai,YE Linhao,YANG Xiongping,ZHANG Yongjun,ZHANG Yao.Influence indicator system for equipment utilization efficiency of active distribution network and its value calculation method[J].Electric Power Automation Equipment,2019,39(3): |
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| 摘要: |
| 针对我国配电网设备利用率低的问题，计及分布式电源的影响构建了一套有源配电网设备利用率影响因子体系，设计了一种基于Pignistic概率距离的影响因子价值计算方法。首先，从直接反映配电网设备利用率的指标容量因子和负载率展开影响因子分析，对比了有/无源配电网中影响因子的差异，进一步基于设备负载特性、设备运行时间及设备参数3个方面，构建了一套有源配电网设备利用率影响因子体系；然后，基于Pignistic概率距离最优证据合成法，提出了一种具有“偏离折扣”特征的层次分析法-熵权法组合赋权法，用于计算影响因子价值；最后，通过实例分析验证了所提影响因子体系和价值计算方法的有效性。 |
| 关键词: 有源配电网 分布式电源 设备利用率 影响因子体系 组合赋权 价值计算 Pignistic概率距离 层次分析法-熵权法 |
| DOI：10.16081/j.issn.1006-6047.2019.03.025 |
| 分类号:TM711 |
| 基金项目:国家自然科学基金资助项目(51777077) |
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| Influence indicator system for equipment utilization efficiency of active distribution network and its value calculation method |
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ZHOU Lai1, YE Linhao2, YANG Xiongping2, ZHANG Yongjun1, ZHANG Yao1
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1.Guangdong Key Laboratory of Green Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China;2.Planning and Development Department, China Southern Power Grid Company Limited, Guangzhou 510000, China
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| Abstract: |
| Aiming at the problem of low EUEDN(Equipment Utilization Efficiency of Distribution Network) in China, taking the influence of distributed generation into account, a set of influence indicator system for equipment utilization efficiency of active distribution network is established and a value calculation method based on Pignistic pro-bability distance is designed. Firstly, the influence indicators of capacity factor and load rate, which are the indexes reflecting the EUEDN directly, are analyzed, the differences between the influence indicator of active distribution network and passive distribution network are compared, and a set of influence indicator system for equipment utilization efficiency of active distribution network is established from three aspects of load characteristics of equipment, operation time of equipment and equipment parameters. Then, based on the Pignistic probability distance optimal evidence synthesis method, a combined weighting method based on AHP(Analytic Hierarchy Process) and entropy weight method with “deviation discount” feature is proposed, which is used to calculate the values of influence indicators. Finally, the effectiveness of the proposed influence indicator system and value calculation method is verified by case analysis. |
| Key words: active distribution network distributed generation equipment utilization efficiency influence indicator system combination weighting value calculation Pignistic probability distance AHP and entropy weight method |
