Optimal Demand Response for Distribution Feeders With Existing Smart Loads

Optimal Demand Response for Distribution Feeders With Existing Smart Loads
复制标题

具有现有智能负载的配电馈线的最佳需求响应

DOI:
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发表时间:
2018
影响因子:
9.6
通讯作者:
Kankar Bhattacharya
Kankar Bhattacharya
中科院分区:
工程技术1区
文献类型:
--
作者:
Abolfazl Mosaddegh;C. Cañizares;Kankar Bhattacharya

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负荷特性在配电系统中起着重要的作用,传统上配电系统设计为提供峰值负荷;因此,降低峰值可以大大降低电网的总成本。智能电网的基本组件,如智能电表,允许公用事业和客户之间的双向通信;在这种情况下,正在引入可控智能负载,这允许为客户和配电馈线开发和实施能源管理系统。因此,本文研究了现有的智能负荷,特别是在加拿大安大略省的Peaksaver PLUS(PS+)负荷,以减少夏季高峰负荷的配电馈线的影响。一个神经网络模型的可控负载的开发和集成到一个不平衡的配电最优潮流(DOPF)模型,以最佳地控制抽头变换器和开关电容器,以及发送信号到可编程恒温器的空调在住宅建筑物中,特别是那些与PS+程序。开发的集成DOPF进行了测试和验证,使用一个实际的系统,展示了使用现有的可控负载优化操作配电馈线的好处。
Load characteristics play an important role in distribution systems, which are traditionally designed to supply peak load; hence, decreasing this peak can considerably reduce overall grid costs. Basic components of smart grids such as smart meters allow two-way communication between the utilities and customers; in this context, controllable smart loads are being introduced, which allow developing and implementing energy management systems for customers and distribution feeders. Therefore, this paper studies the impact of existing smart loads, in particular Peaksaver PLUS (PS+) loads in ON, Canada, to reduce summer peak loads for distribution feeders. A neural network model of controllable loads is developed and integrated into an unbalanced distribution optimal power flow (DOPF) model to optimally control tap changers and switched capacitors, as well as sent signals to programmable thermostats of air conditioners in residential buildings, in particular those associated with the PS+ program. The developed integrated DOPF is tested and validated using a practical system, demonstrating the benefits of using existing controllable loads to optimally operate distribution feeders.