• 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 ›› 2019, Vol. 40 ›› Issue (2): 11-19.doi: 10.3969/j.issn.1000-7229.2019.02.002

• 电力市场 • 上一篇    下一篇

计及实时电量交易的售电公司日偏差电量考核优化模型

马佳乐1, 谭忠富1,2,喻小宝3,谭清坤1,德格吉日夫1,赵蕊1   

  1. 1.华北电力大学经济与管理学院,北京市 102206;2.延安大学经济与管理学院,陕西省延安市 716000;3.上海电力学院经济与管理学院,上海市 200090
  • 出版日期:2019-02-01
  • 作者简介:马佳乐(1994),男,硕士研究生,主要研究方向为电力市场; 谭忠富(1964),男,博士,教授,主要研究方向为能源经济、电力市场等; 喻小宝(1989),男,博士,主要研究方向为能源经济、电力市场等; 谭清坤(1988),男,博士研究生,主要研究方向为电力经济; 德格吉日夫(1988),男,博士研究生,主要研究方向为能源经济; 赵蕊(1994),女,硕士研究生,主要研究方向为电力经济。
  • 基金资助:
    国家自然科学基金项目(71573084);北京市社会科学基金项目(16JDYJB044)

Optimal Model for Daily Deviation Penalty of Electricity Retailer Considering Real-time Electricity Trading

MA Jiale1, TAN Zhongfu1,2, YU Xiaobao3, TAN Qingkun1, DE Gejirifu1, ZHAO Rui1   

  1. 1. Department of Economic Management, North China Electric Power University, Beijing 102206, China;2. School of Economics and Management,  Yan′an University, Yan′an 716000, Shaanxi Province, China;3. College of Ecnomics and Management, Shanghai University of Electric Power, Shanghai 200090, China
  • Online:2019-02-01
  • Supported by:
    This work is supported by the National Science Foundation of China (No.71573084) and Beijing Municipal Social Science Foundation (No.16JDYJB044).

摘要: 启动现货市场的目的是建立电力中长期交易和现货交易相结合的市场化电力电量平衡机制,而在市场运营机制不完善的建设初期,以日为结算期的短期考核机制有利于市场公平交易,稳定现货市场中的电力电量波动。为了更直观地体现短期偏差电量考核对售电公司收益及经营策略的影响,构建了计及日偏差电量考核机制的售电公司日前市场收益模型。基于实时市场购电和与储能电站电量交易,建立了以售电公司收益最大化为目标的日偏差电量考核优化模型。基于广东省2017年交易数据模拟典型日现货交易和实际用电情况,对比分析模型优化效果,并对统一出清价和单位考核成本及与储能电站的交易电价、正、负偏差量进行了敏感性分析。结果表明:该优化策略可明显提高售电公司收益;统一出清价、单位考核成本和向储能电站购电电价对额外成本影响最大,向储能电站售电电价对额外收益影响最大,正、负偏差量对售电公司整体收益影响最大。

关键词: 现货市场, 偏差考核, 储能电站, 电量交易, 敏感性分析

Abstract: The purpose of starting the spot market is to establish a market-based power balance mechanism that combines medium and long-term power transactions with spot transactions. In the early construction stage in which the market operation mechanism is not perfect, the short-term assessment mechanism with a daily settlement period is conducive to fair market transactions and stabilize power fluctuations in the spot market. With the objective of intuitively reflecting the impact of short-term deviation power assessment on the revenue and business strategy of the electricity retailer, a revenue model in day-ahead market of the retailer that takes into account the daily deviation power assessment mechanism is constructed. On the basis of real-time market purchase and electricity trading with energy storage stations a daily deviation power assessment optimization model with the objective of maximizing revenue of retailer is established. According to the 2017 transaction data of Guangdong Power Market, the typical daily spot transaction and actual power consumption are simulated. Moreover, sensitivity analysis of uniform clearing price, unit assessment cost, transaction price with the energy storage station and positive and negative deviation is conducted. The results show that the optimization strategy can significantly improve the revenue of the retailer;uniform clearing price, unit assessment cost and the prices of electricity purchased from the energy storage station have the greatest impact on the additional cost;the prices of electricity sold to energy storage power stations have the greatest impact on additional revenue;positive and negative deviations have the greatest impact on the overall revenue of the retailer.

Key words: spot market, deviation penalty, energy storage power station, electricity trading, sensitivity analysis

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