具有价格响应和可控负荷的智能配电系统运行

I. Sharma, Kankar Bhattacharya, C. Cañizares
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引用次数: 2

摘要

本文提出了一种新的模型框架,用于分析三相不平衡配电系统中价格响应性和可控负荷的影响和调度。假设价格响应负荷与价格呈线性或指数关系,即需求随着价格的增加而减少,反之亦然。当用户寻求降低他们的能源成本时,研究了这种不受控制的价格响应负荷对配电馈线的影响。其次,提出了一种由本地配电公司(LDC)控制的恒能负荷模型。可控负荷是指可由lddc通过远程信号、需求响应程序或客户端家庭能源管理系统来调度的负荷。从最不发达国家和客户的角度来看,最不发达国家和客户的目标是最大限度地减少最不发达国家消耗的能源成本、馈线损耗和与负载可控部分相关的客户成本。进一步研究了峰值需求约束对负荷可控性的影响。提出的模型在两个馈线上进行了测试:1)IEEE 13节点测试馈线;2)实用的LDC馈线系统。详细的研究考察了整个系统的价格响应和可控负荷的操作方面。可以观察到,LDC控制负载模型导致更均匀的系统负载轮廓,并且随着峰值需求上限的减少,消耗的能量减少,从而减少馈线损失以及LDC和客户的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart distribution system operations with price-responsive and controllable loads
This paper presents a new modeling framework for analysis of impact and scheduling of price-responsive as well as controllable loads in a three-phase unbalanced distribution system. The price-responsive loads are assumed to be linearly or exponentially dependent on price, i.e., demand reduces as price increases and vice versa. The effect of such uncontrolled price-responsive loads on the distribution feeder is studied as customers seek to reduce their energy cost. Secondly, a novel constant energy load model, which is controllable by the local distribution company (LDC), is proposed in this paper. A controllable load is one that can be scheduled by the LDC through remote signals, demand response programs, or customer-end home energy management systems. Minimization of cost of energy drawn by LDC, feeder losses, and customers cost pertaining to the controllable component of the load are considered as objectives from the LDCs and customers' perspective. The effect of a peak demand constraint on the controllability of the load is further examined. The proposed models are tested on two feeders: 1) the IEEE 13-node test feeder; and 2) a practical LDC feeder system. Detailed studies examine the operational aspects of price-responsive and controllable loads on the overall system. It is observed that the LDC controlled load model results in a more uniform system load profile, and that with a reduction in the peak demand cap, the energy drawn decreases, consequently reducing feeder losses and LDC's and customers' costs.
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