loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Adelmo Cechin ; José Vicente Canto dos Santos ; Arthur Tórgo Gómez and Carlos Mendel

Affiliation: Pipca - UnisinoS, Brazil

Keyword(s): Genetic Algorithms, Electric Power Systems, Power System Restoration Planning Problem.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Formal Methods ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Planning and Scheduling ; Simulation and Modeling ; Soft Computing ; Symbolic Systems

Abstract: This work reports the use of a Genetic Algorithm (GA) to solve the Power System Restoration Planning Problem (PSRP). The solution to the PSRP is described by a series of operations or a plan to be used by the Power System operator immediately on the occurrence of a blackout in the electrical power supply. Our GA uses new initialization and crossover operators based on the electrical power network, which are able to generate and maintain the plans feasible along GA runs. This releases the Power Flow program, which represents the most computer demanding component, from computing the fitness function of unfeasible individuals. Results for three different electrical power networks are shown: IEEE 14-Bus, IEEE 30-Bus and a large realistic system.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.17.186.135

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Cechin, A.; Vicente Canto dos Santos, J.; Tórgo Gómez, A. and Mendel, C. (2008). A GENETIC ALGORITHM APPLIED TO THE POWER SYSTEM RESTORATION PLANNING PROBLEM - A Metaheuristic Approach for a Large Combinatorial Problem. In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8111-30-2; ISSN 2184-2809, SciTePress, pages 100-107. DOI: 10.5220/0001480201000107

@conference{icinco08,
author={Adelmo Cechin. and José {Vicente Canto dos Santos}. and Arthur {Tórgo Gómez}. and Carlos Mendel.},
title={A GENETIC ALGORITHM APPLIED TO THE POWER SYSTEM RESTORATION PLANNING PROBLEM - A Metaheuristic Approach for a Large Combinatorial Problem},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2008},
pages={100-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001480201000107},
isbn={978-989-8111-30-2},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A GENETIC ALGORITHM APPLIED TO THE POWER SYSTEM RESTORATION PLANNING PROBLEM - A Metaheuristic Approach for a Large Combinatorial Problem
SN - 978-989-8111-30-2
IS - 2184-2809
AU - Cechin, A.
AU - Vicente Canto dos Santos, J.
AU - Tórgo Gómez, A.
AU - Mendel, C.
PY - 2008
SP - 100
EP - 107
DO - 10.5220/0001480201000107
PB - SciTePress