期刊文献+

基于多目标和MPEC的发电市场化电量确定方法 被引量:1

Market-based electricity quantity determination method of power generation based on multiple-objective & MPEC
下载PDF
导出
摘要 电力市场改革中需要考虑和原来计划市场的衔接,所以计划电量是逐步市场化参与市场交易的。为了保证电网公司的利益,保证高成本机组的生存能力,给出了一个基于多目标优化和MPEC程序,用来确定电力市场发电市场化电量。使用了双层优化模型并将其构建和转化为易于求解的标准模型,详细解释了原理和转化的方法。双层优化模型的上层优化目标是电网公司收益最大化和高成本机组的生存可能性最大,下层优化目标是市场出清总发电成本最高。用一个算例来说明该方法的计算原理,并代入了不同参数进行模拟。算例研究表明该方法可以帮助电网公司选择合适的发电市场化电量。 In the electricity market reform,it is necessary to consider the connection with the original planned market,so the planned electricity is gradually liberalized to participate in market transactions.In order to ensure the interests of power grid companies and ensure the viability of high-cost units,a program based on multi-objective optimization and MPEC is given to determine the amount of power generation liberalization in the power market. The two-layer optimization model is used and constructed and transformed into a standard model that is easy to solve. The principle and transformation method are explained in detail. The upper-level optimization goal of the two-level optimization model is to maximize the profit of the grid company and the survival of high-cost units,and the lower-level model goal is to clear the market with the highest total power generation cost. An example is given to illustrate the calculation principle of the method and different parameters are substituted for simulation. The case study shows that this method can help the grid company choose the appropriate power generation liberalization.
作者 陆昭杨 丁剑鹰 荆朝霞 朱继松 LU Zhaoyang;DING Jianying;JING Zhaoxia;ZHU Jisong(School of Electrical Power,South China University of Technology,Guangzhou 510640,China;Operation Management Department,Guangdong Energy Group Company Ltd.,Guangzhou 510630,China)
出处 《电子设计工程》 2022年第5期33-36,41,共5页 Electronic Design Engineering
基金 国家自然科学基金青年项目(52007066)。
关键词 计划用电 发电市场化 高成本机组 双层优化 多目标优化 planned electricity usage power generation marketization high-cost units two-tier optimization multiple-objective optimization
  • 相关文献

参考文献8

二级参考文献114

  • 1袁家海,丁伟,胡兆光.基于Agent的计算经济学及其在电力市场理论中的应用综述[J].电网技术,2005,29(7):47-51. 被引量:17
  • 2康重庆,江健健,夏清.基于智能个体信念学习的电力市场模拟的理论框架[J].电网技术,2005,29(12):10-15. 被引量:28
  • 3陈皓勇,付超.统一价格和PAB竞价的实验分析[J].电力系统自动化,2007,31(4):12-17. 被引量:16
  • 4Michelot C, Plastria F. An extended multifacility minimax location problem revisited. Ann Oper Res, 2002, 111: 167-179.
  • 5Wang S Y, Yamamoto Y, Yu M. A minimax rule for portfolio selection in frictional markets. Math Methods Oper Res, 2003, 57:141-155.
  • 6Chernousko F L. Minimax control for a class of linear systems subject to disturbances. J Optim Theory Appl, 2005, 127:535-548.
  • 7Baums A. Minimax method in optimizing energy consumption in real-time embedded systems. Aurora Control Comput Sci, 2009, 43:57-62.
  • 8Li Y P, Huang G H. Inexact minimax regret integer programming for long-term planning of municipal solid waste management -- Part A: Methodology development. Environ Eng Sci, 2009, 26:209-218.
  • 9Watson G A. The minimax solution of an overdetermined system of nonlinear equations. IMA J Appl Math, 1979, 23: 167-180.
  • 10Overton M L. Algorithms for nonlinear fl and g fitting. In: Nonlinear Optimization. London: Academic Press, 1982, 213-221.

共引文献134

同被引文献10

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部