节点文献

基于偏差考核的水电站双层优化模型

A Bi-level Optimiztion Model for Hydropower Plants Based on Deviation Assessment

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 彭静萍张超刘逸萱杨旭何星遥莫莉

【Author】 PENG Jing-ping;ZHANG Chao;LIU Yi-xuan;YANG Xu;HE Xing-yao;MO Li;China Yangtze Power Co., Ltd.;School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology;Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology;Institute of Water Resources and Hydropower, Huazhong University of Science and Technology;Hubei Key Laboratory of Intelligent Yangtze River and Hydropower Science;

【通讯作者】 莫莉;

【机构】 中国长江电力股份有限公司华中科技大学土木与水利工程学院华中科技大学数字流域科学与技术湖北省重点实验室华中科技大学水利水电科学研究院智慧长江与水电科学湖北省重点实验室

【摘要】 当前正值电力市场新一轮改革,各地为推动市场公平竞争纷纷推出偏差考核机制。面对新的市场规则,传统以发电量最大为目标的调度模型无法适用,水电企业在交易中需考虑市场因素,控制电量偏差。为使水电企业免于支付偏差控制费用,针对市场偏差控制规则进行研究,建立了以发电量最大为目标和以电量偏差最小为目标的双层优化模型,以三峡水电站及湖北省电力市场为例,采用和声搜索算法进行计算分析。结果表明,各时段偏差率均在湖北省偏差控制范围内,水电站可免受偏差控制,该双层优化模型具有一定可行性。

【Abstract】 Currently, the electricity market is undergoing a new round of reform, and deviation assessment mechanisms have been introduced in various places to promote fair competition. In the face of the new market rules, the traditional dispatching model with maximum generation cannot be applied, and hydropower companies need to take market factors into account to control deviations. In order to save hydropower companies from paying costs, a study was conducted on the deviation control rules, and a bi-level optimization model with the objective of maximizing generation capacity and minimizing deviation was established to facilitate trading decisions. Taking the Three Gorges hydropower plant and Hubei province electricity market as examples, the Harmonic Search algorithm was used for analysis. The results show that the deviation rate in each interval is within the deviation control range, and the hydropower plant is exempt from deviation control. Thus, the bi-level optimization model mentioned above is feasible.

【基金】 国家自然科学基金项目(51979114);2002年高等学校博士学科点专项科研资助项目(20020183061)
  • 【文献出处】 水电能源科学 ,Water Resources and Power , 编辑部邮箱 ,2023年04期
  • 【分类号】TV736
  • 【下载频次】29
节点文献中: 

本文链接的文献网络图示:

本文的引文网络