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基于激励相容与深度博弈的云南电力市场机制设计及应用

杨强 蔡华祥 严明辉 张茂林 刘双全 邢玉辉

电力系统自动化2017,Vol.41Issue(24):27-34,8.
电力系统自动化2017,Vol.41Issue(24):27-34,8.DOI:10.7500/AEPS20170605022

基于激励相容与深度博弈的云南电力市场机制设计及应用

Design and Application of Electricity Market Mechanism for Yunnan Based on Theory of Incentive Compatibility and Game in Depth

杨强 1蔡华祥 1严明辉 1张茂林 1刘双全 1邢玉辉1

作者信息

  • 1. 昆明电力交易中心有限责任公司,云南省昆明市 650011
  • 折叠

摘要

Abstract

According to the structure of energy , economy , power grid and market of Yunnan province in China , the new electricity market structure , trading mechanism and information disclosure mechanism are designed based on the theories of incentive compatibility , game in depth and information asymmetry . The three-step trading system of point-to-point" , back-to-back" , face-to-face" is put forward to achieve a trading mode centered on long-term transactions and supplemented by short-term transactions . Monthly bilateral transactions are carried out on the basis of the annual bilateral transactions and the price adjustment mechanism is designed to make the point-to-point" bilateral trade more flexible . Declaring multi-block and multiple prices is allowed to improve the close rate of back-to-back" centralized trading . Transaction opportunities of face-to-face" self-listed trading are increased by giving buyers and sellers the rights to take turns . Day-ahead transactions are introduced to help the market subject control bias and improve the contract compliance rate . Yunnan electricity market mechanism has achieved good practical results . In 2016 Yunnan market transaction power reached 59 TW · h . The overall contract compliance rate was more than 96% . The proportion of clean energy power generation reached 92 .7% . Thus the Yunnan electricity market model is becoming more and more mature .

关键词

电力市场/交易机制/激励相容/深度博弈/信息不对称

Key words

electricity market/trading mechanism/incentive compatibility/game in depth/information asymmetry

引用本文复制引用

杨强,蔡华祥,严明辉,张茂林,刘双全,邢玉辉..基于激励相容与深度博弈的云南电力市场机制设计及应用[J].电力系统自动化,2017,41(24):27-34,8.

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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