• A tabu search based hybrid opt...

Treffer: A tabu search based hybrid optimization approach for a fuzzy modelled unit commitment problem

Title:
A tabu search based hybrid optimization approach for a fuzzy modelled unit commitment problem
Authors:
VICTOIRE, T. Aruldoss Albert, JEYAKUMAR, A. Ebenezer
Source:
Electric power systems research. 76(6-7):413-425
Publisher Information:
Amsterdam: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 21 ref
Original Material:
INIST-CNRS
Subject Terms:
Electrical engineering, Electrotechnique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Electrotechnique. Electroenergetique, Electrical engineering. Electrical power engineering, Electroénergétique, Electrical power engineering, Réseaux et lignes électriques, Power networks and lines, Exploitation. Commande de charge. Fiabilité, Operation. Load control. Reliability, Centrale thermique, Thermal power plant, Central térmica, Décision floue, Fuzzy decision, Decisión borrosa, Economie réseau électrique, Power system economics, Fonction objectif, Objective function, Función objetivo, Logique floue, Fuzzy logic, Lógica difusa, Modèle hybride, Hybrid model, Modelo híbrido, Méthode optimisation, Optimization method, Método optimización, Optimisation PSO, Particle swarm optimization, Optimización PSO, Planification production énergie électrique, Power generation planning, Programmation non linéaire, Non linear programming, Programación no lineal, Programmation quadratique, Quadratic programming, Programación cuadrática, Protocole engagement, Commitment scheme, Protocolo compromiso, Recherche tabou, Tabu search, Búsqueda tabú, Réseau électrique, Electrical network, Red eléctrica, Résultat expérimental, Experimental result, Resultado experimental, Simulation numérique, Numerical simulation, Simulación numérica, Traitement sériel, Serial processing, Procesamiento serial, Sequential quadratic programming, Unit commitment
Subject Geographic:
Asie, Asia, Inde, India
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Depamnent of Electrical and Electronics Engineering, Karunya Institute of Technology, Karunya Nagar, Coimbatore, Tamil Nadu 641114, India
Department of Electrical and Electronics Engineering, Anna University, GCT campus, Coimbatore, Tamil Nadu 641013, India
ISSN:
0378-7796
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17558659
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electrical engineering. Electroenergetics
Accession Number:
edscal.17558659
Database:
PASCAL Archive

Weitere Informationen

This article presents a solution model for the unit commitment problem (UCP) using fuzzy logic to address uncertainties in the problem. Hybrid tabu search (TS), particle swarm optimization (PSO) and sequential quadratic programming (SQP) technique (hybrid TS-PSO-SQP) is used to schedule the generating units based on the fuzzy logic decisions. The fitness function for the hybrid TS-PSO-SQP is formulated by combining the objective function of UCP and a penalty calculated from the fuzzy logic decisions. Fuzzy decisions are made based on the statistics of the load demand error and spinning reserve maintained at each hour. TS are used to solve the combinatorial sub-problem of the UCP. An improved random perturbation scheme and a simple method for generating initial feasible commitment schedule are proposed for the TS method. The non-linear programming sub-problem of the UCP is solved using the hybrid PSO-SQP technique. Simulation results on a practical Neyveli Thermal Power Station system (NTPS) in India and several example systems validate, the presented UCP model is reasonable by ensuring quality solution with sufficient level of spinning reserve throughout the scheduling horizon for secure operation of the system.