文章摘要
史连军,庞博,刘敦楠,等.新电改下北京电力交易中心电力市场综合指数的交易分析[J].电力系统自动化,2019,43(6):163-170. DOI: 10.7500/AEPS20180720012.
SHI Lianjun,PANG Bo,LIU Dunnan, et al.Power Market Transaction Analysis of Index of Beijing Electric Power Exchange Center Under New Electricity Reform[J].Automation of Electric Power Systems,2019,43(6):163-170. DOI: 10.7500/AEPS20180720012.
新电改下北京电力交易中心电力市场综合指数的交易分析
Power Market Transaction Analysis of Index of Beijing Electric Power Exchange Center Under New Electricity Reform
DOI:10.7500/AEPS20180720012
关键词: 电力市场  竞争电价  综合指数  京电指数  市场交易
KeyWords: electricity market  competitive pricing  electric composite index  electric power index  market transactions
上网日期:2019-02-20
基金项目:
作者单位E-mail
史连军 北京电力交易中心有限公司, 北京市 100031  
庞博 北京电力交易中心有限公司, 北京市 100031  
刘敦楠 华北电力大学经济与管理学院, 北京市 102206  
秦光宇 华北电力大学经济与管理学院, 北京市 102206 13263462372@163.com 
李国栋 北京电力交易中心有限公司, 北京市 100031  
张潜 华北电力大学经济与管理学院, 北京市 102206  
摘要:
      随着全国各地电力交易市场日益活跃、电力交易种类和数量日益丰富,如何有效地处理和分析电力数据将是交易中心面临的重要问题之一。首先分析国内外各类市场综合指数的编制方法和应用情况,提出描述电力市场结构和数量变化的北京电力交易中心电力市场综合指数(简称京电指数),为电力市场交易参与者提供参考并引导市场。然后借鉴道琼斯理论等市场综合指数理论在证券市场的应用经验,提出电力市场综合指数的计算和分析方法,并采用京电指数分析了电力交易市场的电力交易总量特点、季节波动性、区域差异性和交易类型差异。研究了影响电力市场综合指数指标的五大因素,即全社会总用电量、市场化放开比例、市场化交易价格、交易品种和放开地区。最后,利用京电指数的计算公式对2016—2017年电力市场数据进行算例分析,验证了京电指数能正确反映电力交易市场的交易情况。
Abstract:
      It is an important problem to effectively process and analyze power data with the increasingly active power trading markets across the country and the increasingly abundant types and quantities of power trading. Firstly, this paper analyzes all kinds of index preparation methods and their application in domestic and foreign markets, and presents the index of Beijing Electric Power Exchange Center(referred to as electric power index)which reflects the change of the electric power market transaction structure and quantity of electricity market participants to provide the reference and guidance to the market. Then, by referring to the guidance and instruction effect of Dow Jones theory and other market composite index theories in the securities market, the calculation and analysis method of the power market composite index is presented. It also explains how to analyze the characteristics of total electricity trading volume, seasonal fluctuation, regional difference and transaction type difference with the electric power index. The five factors influencing the electric power market composite index are investigated, including the total electricity consumption, market liberalization ratio, market trading price, trading varieties and market access area. Finally, the calculation formula of the electric power index is used to analyze the power market data from 2016 to 2017, and the results prove that the electric power index can accurately reflect the trade in the power exchange market.
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