首页> 外文期刊>Energy and Buildings >Demand response of customers in Kitakyushu smart community project to critical peak pricing of electricity
【24h】

Demand response of customers in Kitakyushu smart community project to critical peak pricing of electricity

机译:北九州智能社区项目中客户对关键峰值电价的需求响应

获取原文
获取原文并翻译 | 示例
           

摘要

Dynamic pricing is an effective way to induce the customers to change their electricity usage patterns, critical peak pricing (CPP) event shows a great potential to reduce the peak demand and enhance the grid reliability. This paper investigates performances of the CPP experiment across aggregated group-level of electricity customers covering 16 commercial, 15 office and 50 residential objectives in the Kitakyushu Smart Community demonstration project. A data-based approach to the comparisons of electricity demand curves and distributions among time of use (TOU) and CPP events. Result confirms the differences in price-based responsiveness across types of customer, there is demand shaping effect during the CPP event period by adjusting the electricity price at 30-min interval. The power saving effects were obviously confirmed in residential and commercial sectors under CPP event program. A multiple linear regression model is used to examine the response effectiveness and weigh the influencing factors of the fixed time for the dynamic pricing scheme. For the no-residential part, the electricity consumption strongly depends on the variations in temperature, commercial consumer tends to respond more to the changes of electricity price than office sector. The residential customer shows a promising potential for load reduction corresponding the increasing electricity price. However, the effects depend on the preferences of residential customers to change their power usage pattern at real time of the CPP event period. (C) 2018 Elsevier B.V. All rights reserved.
机译:动态定价是诱使客户改变用电模式的有效方法,关键峰值定价(CPP)事件显示出降低峰值需求和增强电网可靠性的巨大潜力。本文研究了在北九州市智慧社区示范项目中,涵盖16个商业目标,15个办公室目标和50个住宅目标的总电力客户水平的CPP实验的性能。一种基于数据的方法,用于比较用电时间(TOU)和CPP事件之间的电力需求曲线和分布。结果证实了不同类型客户之间基于价格的响应能力的差异,在CPP事件期间,通过以30分钟为间隔调整电价,具有需求调整效应。通过CPP活动计划,在住宅和商业领域的节电效果得到了明显证实。多元线性回归模型用于检查响应定价并权衡动态定价方案固定时间的影响因素。对于非住宅部分,电力消耗在很大程度上取决于温度的变化,商业用户比办公室部门对电价变化的反应更大。居民用户显示出与电价上涨相对应的降低负荷的潜力。但是,效果取决于居民用户在CPP事件期间实时更改其用电模式的偏好。 (C)2018 Elsevier B.V.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