中国电力 ›› 2014, Vol. 47 ›› Issue (3): 146-151.DOI: 10.11930/j.issn.1004-9649.2014.3.146.5

• 技术经济 • 上一篇    下一篇

华东跨省集中竞价交易市场的实证分析

李晓刚1, 杨立兵1, 邹斌2, 王小君3   

  1. 1. 华东电网有限公司,上海 200002;
    2. 上海大学 机电工程与自动化学院,上海 200072;
    3. 五凌电力有限公司,长沙 410004
  • 收稿日期:2013-12-11 出版日期:2014-03-31 发布日期:2015-12-18
  • 作者简介:李晓刚(1975-),男,高级工程师,从事电力系统自动化,电力市场管理、电力营销研究。E-mail: li_xg@ec.sgcc.com.cn

The Empirical Analysis on the Electricity Auction Market of East China Power Grid

LI Xiao-gang1, YANG Li-bing1, ZOU bin2, WANG Xiao-jun2   

  1. 1. East China Power Grid Co., Ltd. Shanghai, China;
    2. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
  • Received:2013-12-11 Online:2014-03-31 Published:2015-12-18

摘要: 基于华东跨省集中竞价平台的运行数据,用灰色关联度分析方法,考察了该市场成交电价与发电成本、标杆电价、市场供需关系以及市场力等四大指标之间的关联度。结果表明,影响市场成交电价的首要因素是成本,其次是供需关系,第三是标杆电价,而市场力的影响最小。进一步,还分析了典型发电厂商报价、不同时段的电价与四大类指标的关联度,其排序结果也与上述结果一致,即华东跨省集中竞价交易平台具有发现成本、调节供需的功能,且较少受到市场力的影响。

关键词: 电力市场, 价格发现, 灰色关联度分析, 供需关系

Abstract: based the data of the electricity auction market of Easr China Power Grid, the factors impact on the selling electricity price, such as the power generation cost, the Benchmark Electricity Price, the relationship between supply and demand, and the potential market power, are sequenced according to their grey correlation coefficient. The results showed that the most influential factor is the power generation cost, then the Benchmark Electricity Price, the third is the relationship between supply and demand and the minimal impact is the potential market power. Further, the correlation coefficient between the electricity prices in different periods, as well as power generation bidding price and the above factors to be tested, they show the same relationship. All these results indicate that the market has the role of discovering cost and regulating supply and demand, and there is almost not the room for generation to exercise their potential market power.

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