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Impacts of demand response resources on scheduling and prices in day-ahead electricity markets

机译:需求响应资源对日前电力市场的调度和价格的影响

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摘要

This thesis addresses the explicit representation of demand-side resources as participants in the day-ahead electricity markets and assesses their impacts on schedul-ing and prices. These resources o???er to reduce their loads and compete side-by-side with the supply-side resources in the hourly auctions in the day-ahead markets for energy and capacity-based ancillary services. These demand-side market participants are commonly referred to as demand response resources (DRRs).The unit commitment problem is used as the vehicle for the study and to evaluate the changes in the operating schedules of the supply-side resources and the resulting prices. In the study, the load recovery e???ects that accompany the load curtailment that DRRs provide are assessed. A mixed-integer programming solver is used to explicitly represent the integral nature of the decision variables involved in determining the optimal schedules for next day system operations. Thesolutions of the unit commitment problem are studied to develop appropriate insights into the impacts of DRRs on the prices and quantities of energy andcapacity-based ancillary services in the hourly auctions for the next day. The testing is performed on a test system with 24 supply-side resources, to quantifythe role of the DRRs in the joint electricity markets for energy and capacity-based ancillary services.
机译:本文讨论了需求方资源作为日间电力市场参与者的明确表示,并评估了其对计划和价格的影响。这些资源可以减少负荷,并在日前市场的每小时拍卖中以能源和基于容量的辅助服务与供应方资源并存竞争。这些需求方市场参与者通常被称为需求响应资源(DRR)。单位承诺问题被用作研究的工具,并评估供应方资源的运行计划及其价格的变化。在研究中,评估了DRR提供的负载削减带来的负载恢复效应。混合整数编程求解器用于明确表示决策变量的整体性质,该决策变量涉及确定次日系统操作的最佳计划。研究单位承诺问题的解决方案,以在第二天的每小时拍卖中深入了解DRR对基于能源和容量的辅助服务的价格和数量的影响。该测试是在具有24个供应方资源的测试系统上进行的,以量化DRR在联合电力市场中基于能源和容量的辅助服务中的作用。

著录项

  • 作者

    Nelli Rajesh B.;

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  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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