User satisfaction-based genetic algorithm for load shifting in smart grid

Q2 Computer Science

International Journal of Computers and Applications Pub Date : 2023-06-03 DOI:10.1080/1206212X.2023.2232167

A. Touzene, Manar Al Moqbali

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引用次数: 0

Abstract

This paper presents a new load shifting strategy for smart grid systems based on both power consumers’ day-ahead power forecast and their Service Level Agreement (SLA) in order to reduce their electricity bills, guaranties user satisfaction, and for smart grid system to reduce as well the overall power consumption at the peak hours. We provide an analytical model that formulated the load shifting process as a cost minimization problem. A Genetic Algorithm (GA) approach based on a two dimensional chromosome representation is used to solve the optimization problem by collecting a day-ahead forecast and SLAs as an input from the power consumers. The output of the GA consists of giving the best power task plan for the day-ahead which satisfy all consumers in terms of minimizing their consumption bill and reduces the peak demand. Experimental results using simulation show that the proposed load shifting strategy not only guaranty SLA requirements but it reduces the total cost by more than 16%, and in general it achieves a substantial cost savings of 38% compared to the recent algorithms from the literature.

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基于用户满意度的智能电网负荷转移遗传算法

本文提出了一种基于用户日前电量预测和用户服务水平协议(SLA)的智能电网系统负荷转移策略，以降低用户电费，保证用户满意度，同时降低用电高峰时段的总体用电量。我们提供了一个分析模型，将负荷转移过程表述为成本最小化问题。采用基于二维染色体表示的遗传算法(GA)方法，通过从电力用户处收集一天前的预测和sla作为输入来解决优化问题。遗传算法的输出包括给出最优的电力任务计划，以满足所有用户在最小化其消费账单和减少峰值需求方面的需求。仿真实验结果表明，所提出的负载转移策略不仅保证了SLA要求，而且使总成本降低了16%以上，总体上与文献中最近的算法相比，节省了38%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。

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来源期刊

International Journal of Computers and Applications Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

4.70

自引率

0.00%

发文量

期刊介绍： The International Journal of Computers and Applications (IJCA) is a unique platform for publishing novel ideas, research outcomes and fundamental advances in all aspects of Computer Science, Computer Engineering, and Computer Applications. This is a peer-reviewed international journal with a vision to provide the academic and industrial community a platform for presenting original research ideas and applications. IJCA welcomes four special types of papers in addition to the regular research papers within its scope: (a) Papers for which all results could be easily reproducible. For such papers, the authors will be asked to upload "instructions for reproduction'''', possibly with the source codes or stable URLs (from where the codes could be downloaded). (b) Papers with negative results. For such papers, the experimental setting and negative results must be presented in detail. Also, why the negative results are important for the research community must be explained clearly. The rationale behind this kind of paper is that this would help researchers choose the correct approaches to solve problems and avoid the (already worked out) failed approaches. (c) Detailed report, case study and literature review articles about innovative software / hardware, new technology, high impact computer applications and future development with sufficient background and subject coverage. (d) Special issue papers focussing on a particular theme with significant importance or papers selected from a relevant conference with sufficient improvement and new material to differentiate from the papers published in a conference proceedings.