• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2021, Vol. 42 ›› Issue (4): 121-131.doi: 10.12204/j.issn.1000-7229.2021.04.014

• 电力经济研究 • 上一篇    下一篇

考虑不确定性的综合能源系统日前市场申报策略

韩照洋1, 周琳2, 刘硕2, 李国栋2, 付学谦1   

  1. 1.中国农业大学信息与电气工程学院, 北京市100083
    2.北京电力交易中心, 北京市 100031
  • 收稿日期:2020-07-07 出版日期:2021-04-01 发布日期:2021-03-30
  • 作者简介:韩照洋(1998),男,本科生,研究方向为电力市场|周琳(1977),女,教授级高工,主要研究方向为电力市场、交易组织|刘硕(1983),男,高级工程师,主要研方向为电力市场、交易组织|李国栋 (1985),男,高级工程师,从事电力市场、新能源消纳研究工作
  • 基金资助:
    国家电网有限公司科技项目资助“与省内市场耦合的省间中长期市场优化出清模型与算法研究”(5108-202155046A-0-0-00)

Day-ahead Market Offering Strategy in Integrated Energy System Considering Uncertainty

HAN Zhaoyang1, ZHOU Lin2, LIU Shuo2, LI Guodong2, FU Xueqian1   

  1. 1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    2. Beijing Electric Power Trading Center, Beijing 100031, China
  • Received:2020-07-07 Online:2021-04-01 Published:2021-03-30
  • Supported by:
    Science and Technology Project of State Grid Corporation of China(5108-202155046A-0-0-00)

摘要:

风力发电具有低碳的特性,可以促进能源行业的减排,然而中国弃风问题依然很严重。为了促进风电的消纳,使风力发电商获取尽可能高的利润,文章建立了综合能源系统日前市场中风电申报与市场出清双层规划模型,风电申报以利润的期望值最大为目标函数,出清模型以社会福利最大化为目标函数,模型对市场机制进行了优化改进,引入碳交易以促进减排。针对风力发电的不确定性,采用场景法进行处理,使计算更加迅速。对提出的模型进行了仿真,探究了市场机制与申报策略对风电商利润及风电消纳量的影响。

关键词: 电力市场, 碳交易, 不确定性, 综合能源系统

Abstract:

Wind power has low-carbon characteristics and can promote emission reduction in the energy industry. However, the problem of wind curtailment in China is still very serious. In order to promote the accommodation of wind power and obtain profit as high as possible for wind power producers, a two-level planning model for wind power declaration and market clearing in the day-ahead market of the integrated energy system has been established. Wind power declaration takes the maximum expected profit as the objective function, and the clearance model takes the maximum social welfare as the objective function. The model optimizes and improves the market mechanism and introduces carbon trading to promote emission reduction. In view of the uncertainty of wind power generation, the scenario method is proposed to make the calculation faster. The proposed model was simulated, and the influence of market mechanism and reporting strategy on the profit of wind power companies and wind power accommodation is explored.

Key words: electricity market, carbon trading, uncertainty, integrated energy system

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