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基于集成赋权-Shapley法分布式光伏发电车棚及储能充电桩项目效益分配模型

Qingkun Tan Peng Wu Wei Tang Chang Cao Chengjie Wang Yu Zhang

全球能源互联网(英文)2020,Vol.3Issue(4):375-384,10.
全球能源互联网(英文)2020,Vol.3Issue(4):375-384,10.DOI:10.14171/j.2096-5117.gei.2020.04.008

基于集成赋权-Shapley法分布式光伏发电车棚及储能充电桩项目效益分配模型

Benefit allocation model of distributed photovoltaic power generation vehicle shed and energy storage charging pile based on integrated weighting-Shapley method

Qingkun Tan 1Peng Wu 1Wei Tang 1Chang Cao 2Chengjie Wang 1Yu Zhang1

作者信息

  • 1. State Grid Energy Research Institute Co., LTD., Beijing Changping 102209, China
  • 2. China Power Finance Corporation, Beijing Dongcheng 100005, China
  • 折叠

摘要

Abstract

In this study, to develop a benefit-allocation model, in-depth analysis of a distributed photovoltaic-power-generation carport and energy-storage charging-pile project was performed; the model was developed using Shapley integrated-empowerment benefit-distribution method. First, through literature survey and expert interview to identify the risk factors at various stages of the project, a dynamic risk-factor indicator system is developed. Second, to obtain a more meaningful risk-calculation result, the subjective and objective weights are combined, the weights of the risk factors at each stage are determined by the expert scoring method and entropy weight method, and the interest distribution model based on multi-dimensional risk factors is established. Finally, an example is used to verify the rationality of the method for the benefit distribution of the charging-pile project. The results of the example indicate that the limitations of the Shapley method can be reasonably avoided, and the applicability of the model for the benefit distribution of the charging-pile project is verified.

关键词

充电桩/利益分配/风险因素/集成赋权法/Shapley模型

Key words

Charging pile/Benefit distribution/Risk factor/Integrated weighting method/Shapley model

引用本文复制引用

Qingkun Tan,Peng Wu,Wei Tang,Chang Cao,Chengjie Wang,Yu Zhang..基于集成赋权-Shapley法分布式光伏发电车棚及储能充电桩项目效益分配模型[J].全球能源互联网(英文),2020,3(4):375-384,10.

基金项目

This work is Supported by Science and Technology Foundation of SGCC Research and development of key models for decision support of energy internet companies (NO. SGSDJY00GPJS1900057). (NO. SGSDJY00GPJS1900057)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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