Verwandte Artikel zu Distributed Market-Grid Coupling Using Model Predictive...

Distributed Market-Grid Coupling Using Model Predictive Control: Dissertation - Softcover

 
9781535120517: Distributed Market-Grid Coupling Using Model Predictive Control: Dissertation

Inhaltsangabe

Real-time monitoring of electricity grids’ power flow, which reflects the physical reality of the power system, plays a crucial role in the power market, since the real-time market behavior often deviates from long-term market forecasts, due to unexpected supply-demand imbalances and the resulting price volatility. The real-time market results, in turn, have a major influence on the optimal dynamic economic dispatch of the power generation for stabilizing the power load in the grid. However, an appropriate market-grid coupling, in terms of a real-time interaction between the market and the grid, has not been designed to be available either from the grid network side or from the market structure side. In particular, in the context of Demand Response (DR), an incentive-driven load shedding or shifting for grid relief cannot be realized without an appropriate market-grid coupling. In this dissertation, a feedback control concept is proposed, designed and evaluated for modeling a market-grid coupling. The dissertation, also, addresses the research question of whether the market price as a feedback signal can effectively control the power dispatch in the grid, and vice versa. Recently, researchers have focused primarily on investigations of a complex interaction between the market and the grid, in terms of interoperability or controllability. This dissertation addresses rather a combination of both interoperability and controllability; namely an interoperable control between the market and the grid, by means of a closed-loop feedback control system. Essentially, this dissertation presents a novel approach with a closed-loop feedback control concept for the distributed market-grid coupling. One important part of the main contribution of this dissertation is the formal definition of the market-grid coupling. As the first requirement for the market-grid coupling, a real-time market model is designed and formulated as a power balancing option; Subsequently, a two-layer grid model is presented for an optimal dynamic dispatch (ODD) study. Based on both models, a definition of the market-grid coupling is formalized with a feedback control loop. Then, a further investigation and analysis of this formalized market-grid coupling is conducted in two different directions. A co-simulation framework that realizes a market-grid coupling is developed for studying the grid load’s influence on the market price. In order to extend this unidirectional control towards an interoperable control between the market and the grid within the market-grid coupling framework, the system modeling of a MPC-based closed-loop feedback control system is presented, in which a market price optimization and a power dispatch optimization are performed concurrently. The problem formulation of the control system firstly focuses on a coupling model with a single grid unit and its correspondent local market. Subsequently, a distributed control architecture by means of a hierarchical MAS (Multi-Agent System) is presented for extending the centralized MPC problem of a local market-grid coupling to a distributed MPC problem of a distributed market-grid coupling. A distributed MPC strategy is adopted to decompose the overall grid into interconnected grid units, so that individual grid units achieve control objectives collaboratively. Different valuation use cases with IEEE bus system test cases are introduced. Simulation-based numerical results show that not only the centralized MPC formulation, but also the distributed MPC formulation, provide a clear stability of both the market price and the power load dispatch. Finally, an adaptive load forecasting framework is proposed to improve the STLF (Short-Term Load Forecasting) performance. The obtained accurate load forecasting result shows its benefit for solving the above MPC problems.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Yong Ding received his Ph.D. degree of Computer Science in 2016 at Karlsruhe Institute of Technology (KIT) and his Diploma Degree of Electrical Engineering in 2008 at University of Karlsruhe. His employment experience included 15 months Trainee Program in the energy company RWE and more than one year project management of electrical engineering in the division of conveyor equipment and process data processing. His research focus is on context recognition and prediction in distributed systems as well as predictive control methods. Specially, he is interested in the combination of machine learning techniques and automatic control concepts. On the application side, the topics in the field of Smart Grid, Smart City and Big Data are his main focus.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Gebraucht kaufen

Zustand: Wie neu
Unread book in perfect condition...
Diesen Artikel anzeigen

EUR 2,25 für den Versand innerhalb von/der USA

Versandziele, Kosten & Dauer

EUR 2,25 für den Versand innerhalb von/der USA

Versandziele, Kosten & Dauer

Suchergebnisse für Distributed Market-Grid Coupling Using Model Predictive...

Foto des Verkäufers

Ding, Yong
ISBN 10: 1535120517 ISBN 13: 9781535120517
Gebraucht Softcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 27121197

Verkäufer kontaktieren

Gebraucht kaufen

EUR 10,70
Währung umrechnen
Versand: EUR 2,25
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Ding, Yong
ISBN 10: 1535120517 ISBN 13: 9781535120517
Neu Softcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 27121197-n

Verkäufer kontaktieren

Neu kaufen

EUR 10,83
Währung umrechnen
Versand: EUR 2,25
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Ding, Yong
ISBN 10: 1535120517 ISBN 13: 9781535120517
Neu Softcover
Print-on-Demand

Anbieter: California Books, Miami, FL, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9781535120517

Verkäufer kontaktieren

Neu kaufen

EUR 13,15
Währung umrechnen
Versand: Gratis
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Ding, Yong
ISBN 10: 1535120517 ISBN 13: 9781535120517
Neu Softcover

Anbieter: Best Price, Torrance, CA, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. SUPER FAST SHIPPING. Bestandsnummer des Verkäufers 9781535120517

Verkäufer kontaktieren

Neu kaufen

EUR 7,25
Währung umrechnen
Versand: EUR 7,65
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Ding, Yong
ISBN 10: 1535120517 ISBN 13: 9781535120517
Gebraucht Softcover

Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 27121197

Verkäufer kontaktieren

Gebraucht kaufen

EUR 17,85
Währung umrechnen
Versand: EUR 17,20
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Ding, Yong
ISBN 10: 1535120517 ISBN 13: 9781535120517
Neu Softcover

Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 27121197-n

Verkäufer kontaktieren

Neu kaufen

EUR 21,82
Währung umrechnen
Versand: EUR 17,20
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Yong Ding
ISBN 10: 1535120517 ISBN 13: 9781535120517
Neu Paperback / softback
Print-on-Demand

Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 729. Bestandsnummer des Verkäufers C9781535120517

Verkäufer kontaktieren

Neu kaufen

EUR 22,98
Währung umrechnen
Versand: EUR 16,09
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Yong Ding
ISBN 10: 1535120517 ISBN 13: 9781535120517
Neu Paperback

Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: new. Paperback. Real-time monitoring of electricity grids' power flow, which reflects the physical reality of the power system, plays a crucial role in the power market, since the real-time market behavior often deviates from long-term market forecasts, due to unexpected supply-demand imbalances and the resulting price volatility. The real-time market results, in turn, have a major influence on the optimal dynamic economic dispatch of the power generation for stabilizing the power load in the grid. However, an appropriate market-grid coupling, in terms of a real-time interaction between the market and the grid, has not been designed to be available either from the grid network side or from the market structure side. In particular, in the context of Demand Response (DR), an incentive-driven load shedding or shifting for grid relief cannot be realized without an appropriate market-grid coupling. In this dissertation, a feedback control concept is proposed, designed and evaluated for modeling a market-grid coupling. The dissertation, also, addresses the research question of whether the market price as a feedback signal can effectively control the power dispatch in the grid, and vice versa. Recently, researchers have focused primarily on investigations of a complex interaction between the market and the grid, in terms of interoperability or controllability. This dissertation addresses rather a combination of both interoperability and controllability; namely an interoperable control between the market and the grid, by means of a closed-loop feedback control system. Essentially, this dissertation presents a novel approach with a closed-loop feedback control concept for the distributed market-grid coupling. One important part of the main contribution of this dissertation is the formal definition of the market-grid coupling. As the first requirement for the market-grid coupling, a real-time market model is designed and formulated as a power balancing option; Subsequently, a two-layer grid model is presented for an optimal dynamic dispatch (ODD) study. Based on both models, a definition of the market-grid coupling is formalized with a feedback control loop. Then, a further investigation and analysis of this formalized market-grid coupling is conducted in two different directions. A co-simulation framework that realizes a market-grid coupling is developed for studying the grid load's influence on the market price. In order to extend this unidirectional control towards an interoperable control between the market and the grid within the market-grid coupling framework, the system modeling of a MPC-based closed-loop feedback control system is presented, in which a market price optimization and a power dispatch optimization are performed concurrently. The problem formulation of the control system firstly focuses on a coupling model with a single grid unit and its correspondent local market. Subsequently, a distributed control architecture by means of a hierarchical MAS (Multi-Agent System) is presented for extending the centralized MPC problem of a local market-grid coupling to a distributed MPC problem of a distributed market-grid coupling. A distributed MPC strategy is adopted to decompose the overall grid into interconnected grid units, so that individual grid units achieve control objectives collaboratively. Different valuation use cases with IEEE bus system test cases are introduced. Simulation-based numerical results show that not only the centralized MPC formulation, but also the distributed MPC formulation, provide a clear stability of both the market price and the power load dispatch. Finally, an adaptive load forecasting framework is proposed to improve the STLF (Short-Term Load Forecasting) performance. The obtained accurate load forecasting result shows its benefit for solving the above MPC problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781535120517

Verkäufer kontaktieren

Neu kaufen

EUR 21,83
Währung umrechnen
Versand: EUR 42,42
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb