AN EXPERT SYSTEM FOR OPTIMAL ECONOMIC OPERATION OF MIXED HYDROTHERMAL POWER SYSTEMS

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Catégories candidates

Méta-épidémiologie (sens strict)

Catégories consensuelles

aucune

Domaine

Signal candidat: aucuneSignal consensuel: aucune

Devis d'étude

Signal candidat: Simulation ou modélisationSignal consensuel: aucune

Genre

Signal candidat: EmpiriqueSignal consensuel: Empirique

Score de désaccord entre enseignants

0,482

Score d'incertitude au seuil

1,000

Statut de validation

machine_predicted_unvalidated · codex-gemma-dda1882f352a

Scores Codex et Gemma par catégorie

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Écart entre enseignants

0,202 · la distance entre les deux têtes enseignantes sur ce seul travail

Statut de validation

score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Résumé

The problem of economic operation of an electrical power system is suffering from combinatorial explosiveness. Moreover the problem is distributed in nature, overwhelmed by human factors because of the fact that present day systems are spanned at very large areas. Most of the data that is transferred to the system control office is mainly useful for stability and control purposes alone, while there is a lot of data, generated by various parts of the system that can be utilized effectively for improving the economic operation but at present is lying dormant.
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\nThis thesis is addressed towards a comprehensive solution of the problem in the light of three crucial factors mentioned above. Instead of using the conventional SCADA system to transfer the data in the form of unrelated telemetry signals, techniques are developed to keep the data in distributed client server databases, where each unit of data bears a particular specified relationship with the rest of the system. Processes are developed to transform this data into information and send the database transaction over the WEB to share the distributed computing for economic operation. Several processes are identified and a higher level process map of the system operation is developed. Expert system methodology is used to couple the symbolic and numerical knowledge in the processes for better insight and management of human factor.
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\nA mathematical model is developed that represents the situation in a thermal power station running on multiple fuels. The Thermal Plants Status Development Process that has been implemented in a client-server database system for thermal power stations uses this model to infer the current status of the system. The process takes into account the human factors affecting the dynamicity of fuel cost characteristics of thermal units, and sends the transaction over the WEB, to the system control office, containing the parameters needed for economic operation. A 24 hour simulation is carried out for three thermal units having a total capacity of 1200 MW, using gas fuels from four different gas fields. The simulation recorded a net send out of 22,298.0 MWh of energy while the results show a saving in the fuel cost ranging from 0.6 Million Rupees (1$ = Rs. 60 approx) to 5.5 Million Rupees per day over the current practice. Real practical data, required for the development of various models of the thesis is obtained from Gas Thermal Power Station Guddu, which is one of the major thermal power stations in the Pakistan Electric Utility System.
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\nA portion of this work is the basis of the eight research publications. The author himself participated for presenting a paper in 38th International Universities Power Engineering Conference, Upec03, Sep-01 to Sep-03 2003, in Thessalonica, Greece, and for the second paper in IASTED, International Conference on Power and Energy Systems, EuroPES 2003, Sep-03 to September 06 2003 Marbella, Spain. Another paper has been accepted, for publication in IASTED, International Journal of Power and Energy System, Calgary, Canada.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

La notice

Revue

HEC National Digital Library

Thématique

Power Systems and Technologies

Domaine

Engineering

Établissements canadiens

non disponible

Organismes subventionnaires

non disponible

Mots-clés

Distributed control systemSCADAProcess (computing)Electric power systemComputer scienceExpert systemDatabase transactionDistributed computingDatabaseControl (management)Power (physics)EngineeringOperating systemArtificial intelligenceElectrical engineering

Résumé présent dans OpenAlex

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API

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