中国电力 ›› 2022, Vol. 55 ›› Issue (2): 138-144.DOI: 10.11930/j.issn.1004-9649.202101059

• 新能源消纳 • 上一篇    下一篇

日前电能市场与深度调峰市场联合出清模型

张明理1, 张娜1, 武志锴2, 高靖1, 徐熙林1, 李健3, 吕泉3   

  1. 1. 国网辽宁省电力有限公司经济技术研究院,辽宁 沈阳 110015;
    2. 国网辽宁省电力有限公司,辽宁 沈阳 110015;
    3. 大连理工大学 电气工程学院,辽宁 大连 116024
  • 收稿日期:2021-01-14 修回日期:2021-12-13 出版日期:2022-02-28 发布日期:2022-02-23
  • 作者简介:张明理(1977—),男,博士,高级工程师(教授级),从事电力能源系统研究,E-mail:zml_jyy@ln.sgcc.com.cn;张娜(1986—),女,博士,高级工程师,从事电力经济、电力系统规划运行研究,E-mail:zn_jyy@126.com;武志锴 (1986—) ,男,硕士,高级工程师,从事电力经济研究,E-mail:wzk@ln.sgcc.com.cn
  • 基金资助:
    国网辽宁省电力有限公司科技项目(SGLNJY002 LJS2000049);国家自然科学基金资助项目(51607021)

Joint Clearing Model of Day-Ahead Energy Market and Down Regulation Service Market for Accommodation of Renewable Energy

ZHANG Mingli1, ZHANG Na1, WU Zhikai2, GAO Jing1, XU Xilin1, LI Jian3, LV Quan3   

  1. 1. Institute of Economics and Technology of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110015, China;
    2. State Grid Liaoning Electric Power Co., Ltd., Shenyang 110015, China;
    3. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
  • Received:2021-01-14 Revised:2021-12-13 Online:2022-02-28 Published:2022-02-23
  • Supported by:
    This work is supported by Science & Technology Project of State Grid Liaoning Electric Power Co., Ltd. (No.SGLNJY002 LJS2000049) and National Natural Science Foundation of China (No.51607021)

摘要: 以采用全电量集中竞价模式的日前电能交易和东北深度调峰交易融合运行、联合出清为背景,建立一种日前电能量市场和深度调峰服务市场联合出清模型。模型以系统电能量费用、启动费用、调峰费用与新能源限电惩罚费用之和最小为目标函数,以系统电力平衡与备用、火电机组和新能源2类发电单元运行边界为约束条件,实现新能源优先消纳基础上的2市场整体最优;模型通过日前电能量市场预出清与2市场联合再出清的分步计算方法,在可接受的时间内,实现2市场的联合出清。

关键词: 日前能量市场, 深度调峰市场, 联合出清, 现货市场

Abstract: In the background of the integrated market operation of the day-ahead energy trading and deep regulation service trading in Northeast China, a joint clearing model of the two market is established. The objective function of the model is to minimum the sum of the generation cost, start-up cost, and deep regulation compensation cost of thermal power units, as well as the compensation cost for renewable energy curtailment. It is subjective to the system power balance constraint, reserve constraint, and the operation boundaries of thermal power units and renewable energy generation. It realizes the global optimality for the two markets under the premise of priority consumption for renewable energy generation. It pre-clears the energy market and then re-clears the joint market. The numerical simulation shows that the joint market clearing problem can be solved within acceptable time.

Key words: day-ahead energy market, down regulation service market, joint market clearing, spot market