ACO-based Distributed Energy Routing Protocol In Smart Grid

被引：0

作者：

Hebal, Sara ^{[1
]}

Mechta, Djamila ^{[1
]}

Harous, Saad ^{[2
]}

机构：

[1] Ferhat Abbas Setif 1 Univ, LRSD Lab, Comp Sci Dept, Setif, Algeria

[2] United Arab Emirates Univ, Coll Informat Technol, Al Ain, U Arab Emirates

来源：

2019 IEEE 10TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON) | 2019年

关键词：

Smart grid; Energy routing; Energy efficient path; Transmission cost; Ant colony optimization(ACO); SIMULATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The bidirectional flow of power and communication, and the integration of distributed renewable energy sources in smart grid (SG) have lead to the emergence of the energy routing problem. A lot of interest has been given to energy routing problem in aim of minimizing the transmission cost and ensuring the reliability and efficiency of the smart grid. Historically, traditional techniques are used to solve this problem, such as graph theory, autonomous systems, game theory, ... ect. In this paper, we attempt to solve this problem with different method, we formalized the problem of determining the energy efficient path as an optimization problem. As a solution for this problem we propose a Bio-Inspired Energy Routing Algorithm based on Ant Colony Optimization (ACO-ERP).

引用

页码：568 / 571

页数：4

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