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Coordination of bidding strategies in energy and spinning reserve markets for competitive suppliers using a genetic algorithm

机译:使用遗传算法协调竞争性供应商在能源和储备市场上的投标策略

摘要

The problem of building optimally coordinated bidding strategies for competitive suppliers in energy and spinning reserve markets is addressed. It is assumed that each supplier bids a linear energy supply function and a linear spinning reserve supply function into the energy and spinning reserve markets, respectively, and the two markets are dispatched separately to minimize customer payments. Each supplier chooses the coefficients in the linear energy and spinning reserve supply functions to maximize total benefits, subject to expectations about how rival suppliers will bid. A stochastic optimization model is first developed to describe this problem and a genetic algorithm based method is then presented to solve it. A numerical example is utilized to illustrate the essential features of the method
机译:解决了为能源和旋转备用市场中的竞争性供应商建立最佳协调的投标策略的问题。假设每个供应商分别向能源和纺纱储备市场投标一个线性能源供应函数和一个线性纺纱储备供应函数,并且分别调度两个市场以最大程度地减少客户付款。每个供应商都选择线性能量和自旋储备供应函数中的系数,以最大程度地提高总收益,但要考虑到竞争对手会如何竞标。首先建立一个随机优化模型来描述这个问题,然后提出一种基于遗传算法的方法来解决这个问题。数值例子说明了该方法的基本特征。

著录项

  • 作者

    Wen F; David AK;

  • 作者单位
  • 年度 2000
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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