OPTIMAL OPERATION AND PLANNING OF MICROGRIDS CONSIDERING FREQUENCY STABILITY
Notice bibliographique
Résumé
In modern power systems, the traditional power plants consuming fossil fuels are gradually being replaced by renewable plants which bring about several challenges and issues for the safe operation of these systems. Higher penetration of renewable plants weakens the grid’s frequency control capability. The frequency of a power system is an important indicator of any load-generation imbalance. If proper measures are not taken, the frequency-related events as a result of the contingencies might have devastating consequences such as unintentional load shedding, generator tripping, equipment damage, and blackout. The consequences have significantly higher impacts in a small-scale power system such as a microgrid where the penetration level of renewable generation is high, the inertia of the system is low, and the resources capable of providing reserve are limited. Battery energy storage systems (BESSs) have suitable characteristics to provide a wide range of high-power and high-energy services and they can have a significant contribution to frequency control if they are optimally scheduled. In a microgrid setting, the main goal of the frequency stability constraints is to prevent such consequences after the occurrence of credible contingencies and ensure the microgrid can ride through these events. \nThis thesis presents optimization models to take frequency stability constraints into account for microgrid operation and planning studies. In the operation stage, frequency stability constraints are integrated into the day-ahead scheduling model of a grid-connected microgrid considering the unit commitment constraints and the sudden islanding as the contingency. The goal of the proposed algorithm is to ensure that when a grid-connected microgrid suddenly and unintentionally disconnects from the main grid, the microgrid’s frequency stability metrics remain within their safe ranges and the resources can provide sufficient primary frequency response to this end. \nAlso, for the planning stage, optimal sizing of a BESS as a source of power and energy services is studied considering the frequency stability constraints for grid-connected and islanded microgrids. For realistic modeling, a detailed frequency response model of the microgrid elements under different contingency types is developed based on a discretized model of the swing equation. The developed optimization models are linear and relatively fast in obtaining the globally optimum solution with the proposed reformulated mathematical models. A k-means clustering algorithm is also used for scenario reduction purposes and identification of representative days. \nFor all the studies, a microgrid test case comprised of conventional generators, a PV plant, BESS, and loads is used. The discretized swing equation and time-domain model of the primary frequency response of microgrid units are used without sacrificing accuracy. Also, the accelerated decomposition techniques ensure the computational burdens are reasonable and they improve the performance of the algorithms. All the simulations and codings were done in the GAMS and MATLAB environments.
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.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».