首页> 外文期刊>Energy >An improved incentive-based demand response program in day-ahead and intra-day electricity markets
【24h】

An improved incentive-based demand response program in day-ahead and intra-day electricity markets

机译:在日前和日间电力市场中改进的基于激励的需求响应计划

获取原文
获取原文并翻译 | 示例
       

摘要

By advancement and vogue of smart grid technologies, there is a strong attitude toward utilizing different strategies for participating in demand response (DR) programs in electricity markets. DR programs can be classified into two main categories namely incentive-based programs (IBPs) and time based rate programs (TBRPs). In this paper, an improved incentive-based DR (IBDR) model is proposed. In our proposed IBP, the concept of elasticity is improved where it depends not only on the electricity price, but also is a function of consumption hour and customer type. In this program, the incentive value which is paid to the participating consumers is not a fix value and relates to the peak intensity of each hour. The proposed IBP can participate in both of day-ahead and intra-day electricity markets. The property of considering intra-day market enables Consumers to provide maximum DR if possible. The proposed model is implemented on peak load curve of Spanish electricity market and a 200-unit residential complex. Different scenarios are considered to show effectiveness of the proposed DR model from various aspects including peak shaving as well as economic indices. (C) 2018 Elsevier Ltd. All rights reserved.
机译:随着智能电网技术的发展和时尚,人们强烈希望利用不同的策略来参与电力市场的需求响应(DR)计划。 DR计划可分为两大类,即基于激励的计划(IBP)和基于时间的费率计划(TBRP)。本文提出了一种改进的基于激励的DR(IBDR)模型。在我们提出的IBP中,对弹性的概念进行了改进,它不仅取决于电价,而且还取决于耗电时间和客户类型。在该程序中,支付给参与的消费者的激励值不是固定值,而是与每小时的峰值强度有关。提议的IBP可以参与日前和日内电力市场。考虑日内市场的属性使消费者能够在可能的情况下提供最大的DR。该模型在西班牙电力市场和200个单位的住宅小区的峰值负荷曲线上实现。考虑了不同的场景,从包括削峰和经济指标在内的各个方面展示了所提出的DR模型的有效性。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号