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计及多关联因素的电力行业碳排放权分配方案
作者:
作者单位:

1.广东电网有限责任公司电网规划研究中心,广东省广州市 510080;2.新能源电力系统国家重点实验室(华北电力大学),北京市 102206

作者简介:

潘险险(1989—),女,通信作者,硕士,工程师,主要研究方向:电力系统分析与控制、碳排放权交易。E-mail:panxianxianpxx@163.com
余梦泽(1980—),男,博士,高级工程师,主要研究方向:电力系统分析与控制、碳排放权交易。E-mail:yumengze@gd.csg.cn
隋宇(1983—),男,硕士,高级工程师,主要研究方向:电力系统分析与控制、碳排放权交易。E-mail:suiyu@gd.csg.cn

通讯作者:

基金项目:

国家自然科学基金重大项目(51190103);已申请国家发明专利(申请号:201711168457.3)。


Allocation Scheme of Carbon Emission Rights for Power Industry Considering Multiple Correlated Factors
Author:
Affiliation:

1.Power Grid Planning Center of Guangdong Power Grid Company, Guangzhou 510080, China;2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China

Fund Project:

This work is supported by the Major Program of National Natural Science Foundation of China (No. 51190103).

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    摘要:

    电力行业碳排放权的初始分配是保证碳交易市场有效运作的基础和关键。通过对电力行业碳排放过程的特征挖掘,进行指标分解,提取影响碳排放分配结构体系的多关联影响因素;其次,结合专家的知识和经验,基于改进的层次分析法确定各指标的主观权重;接着,采用改进的熵权系数法进行指标映射,构建新的识别参数体系,自适应确定各指标的客观权重;然后,通过主客观权重的优化组合,确定各指标的综合权重,建立电力行业碳排放权的分配模型。最后,以某省区为算例进行对比仿真分析,仿真结果表明:与传统考虑单个因素的分配方案相比,文中方案计及了多关联因素的影响,得到的理论测算结果能更客观地反映地区碳减排权责的实际状况,避免了过于主观或过于客观的片面评估结果。

    Abstract:

    The initial allocation of carbon emission rights for the electric power industry is the basis and key to ensure the effective operation of the carbon trading market. Through the mining of the characteristics of the carbon emissions in the electric power industry, the index decomposition is carried out to extract the multiple correlated factors that affect the carbon emission allocation system. Secondly, based on the knowledge and experience of experts, the subjective weight of each indicator is determined based on the improved analytic hierarchy process. Then, the improved entropy weight method is used to map the indicators, and a new identification parameter system is constructed. The objective weights of each indicator are determined adaptively. Finally, through the optimized combination of subjective and objective weights, the comprehensive weights of each indicator are determined. A case study of a province using comparative simulation analysis is performed to examine the effectiveness of the proposed method. Compared with traditional schemes that consider single factor, the proposed model that considers multiple correlated factors can reflect the actual responsibilities of regional carbon emission reduction more objectively. It can avoid excessively subjective or excessively objective one-sided evaluation results.

    表 7 碳排放权分配结果Table 7 Allocation result of carbon emission rights
    表 3 某省5个地区各指标值Table 3 Index values of five regions in a province
    图1 影响电力行业地区碳排放权分配的关键因素Fig.1 Key factors affecting allocation of carbon emission rights in power industry
    图2 基于主客观赋权法的碳排放权分配流程Fig.2 Flow chart of carbon emission right allocation based on objective and subjective weighting method
    表 2 重要性对比值Table 2 Comparative values of importance
    表 6 各地区依据主客观权重所分得的碳排放权比例Table 6 Proportion of carbon emission rights of each region based on subjective and objective weights
    表 4 相邻指标重要性对比值Table 4 Comparative values of importance for adjacent indicators
    表 5 各指标权重Table 5 Weight of each indicator
    表 1 各指标类型Table 1 Type of each indicator
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引用本文

潘险险,余梦泽,隋宇,等.计及多关联因素的电力行业碳排放权分配方案[J].电力系统自动化,2020,44(1):35-42. DOI:10.7500/AEPS20190606001.
PAN Xianxian,YU Mengze,SUI Yu,et al.Allocation Scheme of Carbon Emission Rights for Power Industry Considering Multiple Correlated Factors[J].Automation of Electric Power Systems,2020,44(1):35-42. DOI:10.7500/AEPS20190606001.

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历史
  • 收稿日期:2019-06-06
  • 最后修改日期:2019-09-12
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  • 在线发布日期: 2020-01-04
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