基于消费者预算的智能建筑能源管理策略:实验实施视角

Khaled Khezzane, M. Doumbia, F. Khoucha
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摘要

本文提出了一种需求侧负荷管理技术,以最小的成本或在预定的预算内最大化用户的满意度来管理住宅建筑的消费。基于三个假设,提出了负荷满足算法,使负荷满足的量化成为可能。该算法采用遗传算法,与传统算法相比,具有较快的收敛速度、较大的灵活性和较高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Buildings Energy Management Strategy Based on Consumer Budget: Experimental Implementation Perspective
This paper presents a demand-side load management technique to manage the consumption in residential buildings by maximizing the user’s satisfaction at minimal cost or within a predefined budget. The load satisfaction algorithm has been developed based on three postulations making it possible to quantify the satisfaction. This algorithm used a genetic algorithm (GA) and it offers a good convergence speed, great flexibility and good efficiency compared to conventional techniques.
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