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Demand response in electrical energy supply: an optimal real time pricing approach

机译:电能供应中的需求响应:最佳实时定价方法

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摘要

In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities.This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit.The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.
机译:在对效率水平存在深切关注的竞争性电力市场中,需求响应计划具有重要意义。随着电力行业竞争的引入,需求响应水平下降,需要充分利用需求响应机会的新方法。本文介绍了需求响应模拟器DemSi,它可以研究配电网中的需求响应动作和方案。它使用基于PSCAD的逼真的网络仿真对解决方案进行技术验证。介绍了在能源短缺的情况下零售商使用DemSi的情况。使用实时定价支持的基于消费者的价格弹性方法可以减少负载。非线性编程用于最大化零售商的利润,从而为每种设想的减轻负载量确定最佳解决方案。该解决方案通过两种不同的方法来确定价格变化,即针对每个消费者或每种消费者类型确定价格变化,从而证明所使用的方法不会显着影响零售商的利润。本文介绍了一个以33辆公共汽车分配的案例研究具有5种不同的消费者类型的广告网络。获得的结果和结论表明,所使用的方法论是足够的,并且对于支持零售商的决策具有重要意义。

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  • 作者

    Faria Pedro; Vale Zita;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 eng
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