Hierarchical Demand Response using Dantzig-Wolfe decomposition

Paul McNamara, S. McLoone
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引用次数: 10

Abstract

Demand Side Management (DSM) programmes are designed to shift electrical loads from peak times. Demand Response (DR) algorithms automate this process for controllable loads. DR can be implemented explicitly in terms of Peak to Average Ratio Reduction (PARR), in which case the maximum peak load is minimised over a prediction horizon by manipulating the amount of energy given to controllable loads at different times. A hierarchical predictive PARR algorithm is presented here based on Dantzig-Wolfe decomposition.
使用dantzigg - wolfe分解的分层需求响应
需求侧管理(DSM)计划旨在将电力负荷从高峰时段转移。需求响应(DR)算法自动控制这一过程的可控负载。DR可以根据峰值平均比降低(PARR)明确地实现,在这种情况下,通过在不同时间操纵给予可控负载的能量量,在预测范围内最小化最大峰值负载。本文提出了一种基于dantzigg - wolfe分解的分层预测PARR算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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