AN EXPERT SYSTEM FOR OPTIMAL ECONOMIC OPERATION OF MIXED HYDROTHERMAL POWER SYSTEMS
Notice bibliographique
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. \n \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. \n \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. \n \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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,001 |
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.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».