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Operational Planning, Modeling and Control of Virtual Power Plants with Electric Vehicles

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Operational Planning, Modeling and Control of Virtual Power Plants with Electric Vehicles Technische Universität Berlin OPERATIONAL PLANNING, MODELING AND CONTROL OF VIRTUAL POWER PLANTS WITH ELECTRIC VEHICLES vorgelegt von Dipl.-Ing. Andreas Franz Alois RAAB geb. in Freyung von der Fakultät IV - Elektrotechnik und Informatik der Technischen Universität Berlin zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften - Dr.-Ing. - genehmigte Dissertation Promotionsausschuss: Vorsitzender Prof. Dr.-Ing. Ronald Plath Gutachter: Prof. Dr.-Ing. Kai Strunz Prof. Antonello Monti, Ph.D. Prof. Dr. Olav B. Fosso Tag der wissenschaftlichen Ausschprache: 26. Oktober 2017 Berlin 2018 ABSTRACT The paradigm shift towards a more sustainable energy supply with a less detrimental environmental impact successively changes the energy sector from a polycentric to- wards a more distributed energy system. The presence of distributed and renewable energy sources combined with the anticipated electrification of the transport sector results in changes along the entire value chain. This so-called transformation pro- cess is accompanied by energy market deregulation and restructuring of the power system. However, in order to increase energy efficiency and improve environmental protection, investigations are needed to establish reliable and secure infrastructures. This will be accompanied by the development of suitable computer aided software solutions for energy market participants and system operators. With further ad- vances in information and communication technology and system automation, there are significant opportunities for realizing such a sustainable energy future. In this context, the thesis provides a comprehensive discussion of the potential appli- cation and deployment of Virtual Power Plants. Here, the aggregation concept serves as a vehicle for the implementation of coordinated and optimized control decisions by means of interconnected and interoperable solutions. The developed method- ologies and functionalities are implemented through the service-oriented design and control scheme of the Virtual Power Plant for the determination of economic and technical feasible solutions in energy market and power system operations. Follow- ing the framework conditions of liberalized energy markets, an energy management algorithm for joint market operations is established which aims to integrate various distributed, renewable and mobile energy sources. A mixed integer linear program- ming formulation is proposed for solving the unit commitment and dispatch problem of the Virtual Power Plant operator in multi-period optimization processes. The pre- sented methodology allows trading of various market products with variable time increments capable of solving real-time market transactions. By providing a uniform model architecture for scalable power plant portfolios, de- terministic planning methods and comprehensive investigations are performed. In particular, electric vehicles are considered as additional sources of energy in joint market operations for the provision of service-oriented operations. Furthermore, multilateral transactions are reflected in the hierarchically structured optimization i Abstract problem formulation for enhancing the allocation of power system services. The sim- ulation results of the market-related interactions serve to identify the temporal and spatial effects in power system operations. Within this framework, a coordinated voltage control is proposed which combines both local droop controls with remote control algorithms. This allows the additional flexibilities provided by a compre- hensive set of distributed, renewable and mobile energy sources to be exploited to mitigate time-varying voltage variations. In addition, the modeling of an active net- work management is carried out for the purpose of conducting control algorithms for electric vehicles charging in distribution systems. Appropriate evaluation functions and programming indicators are presented to determine the simulation results. ii KURZFASSUNG Der Paradigmenwechsel hin zu einer nachhaltigeren Stromversorgung mit möglichst geringen Umweltauswirkungen verändert den Energiesektor sukzessive von einem polyzentrischen zu einem dezentralistischen Energiesystem. Die Anwesenheit einer Vielzahl dezentraler und erneuerbarer Energieanlagen in Verbindung mit einer an- tizipierten Elektrifizierung des Verkehrssektors führt zu Veränderungen entlang der gesamten Wertschöpfungskette. Dieser sogenannte Transformationsprozess ist ge- kennzeichnet durch eine Deregulierung des Energiemarktes und einer Umstruktu- rierung des Energieversorgungssystems. Um jedoch die Energieeffizienz zu steigern und Verbesserungen im Umweltschutz zu erreichen, sind Untersuchungen zum Auf- bau zuverlässiger und sicherer Infrastrukturen erforderlich. Dies geht einher mit der Entwicklung geeigneter computergestützter Softwarelösungen für Energiemarktteil- nehmer und Systembetreiber. Darüber hinaus ergeben sich mit weiteren Fortschrit- ten in der Informations- und Kommunikationstechnologie und Systemautomatisie- rung erhebliche Chancen für eine nachhaltige Gestaltung einer solchen zukünftigen Energieversorgung. In diesem Zusammenhang erörtert die Arbeit in einer ausführlichen Diskussion Anwendungs- und Einsatzmöglichkeiten von virtuellen Kraftwerken. Hier dient das Aggregationskonzept als Instrument für die Umsetzung koordinierter und opti- mierter Kontrollentscheidungen durch die Bereitstellung interkonnektiver und inter- operabler Lösungsansätze. Die entwickelten Methoden und Funktionalitäten wer- den in einem service-orientierten Design und Regelschema des virtuellen Kraftwerks eingebunden, um damit umsetzbare ökonomische und technische Lösungen für den Energiemarkt und das Energieversorgungssystem zu determinieren. Die Analysen zur Entwicklung ergänzender Implementierungsmethoden basieren auf numerischen Simulationen zur Ermittlung ökonomisch und technisch umsetzbarer Lösungen für die Teilnahme an den Energiemärkten sowie im operativen Netzbetrieb. Unter Ein- haltung der Rahmenbedingungen liberalisierter Energiemärkte wird ein Energie- Management-Algorithmus für integrierte Marktoperationen vorgestellt, mit dem Ziel verschiedenartige verteilte, erneuerbare und mobile Energieanlagen berücksichtigen zu können. Hierfür wird eine gemischt-ganzzahlige lineare Programmierformulierung vorgestellt, um die Kraftwerkseinsatzplanung des Virtuellen Kraftwerksbetreibers in iii Kurzfassung einem Mehrperiodenoptimierungsprozess lösen zu können. Die entwickelte Methodik erlaubt den Handel von verschiedenen Marktprodukten mit variabler zeitlicher Au- flösung bis hin zur Ausführung von Echtzeit-Markttransaktionen. Durch die Bereitstellung einer einheitlichen Modellarchitektur für skalierbare Kraft- werks-Portfolios werden deterministische Planungsmethoden und umfassende Un- tersuchungen durchgeführt. Dabei werden besonders Elektrofahrzeuge als zusät- zliche Energiequellen in gemeinsamen Marktoperationen für die Bereitstellung von serviceorientierten Operationen berücksichtigt. Darüber hinaus werden multilat- erale Transaktionen für die Allokation von Systemdienstleistungen in eine hier- archisch strukturierte Formulierung des Optimierungsproblems einbezogen. Die Simulationsergebnisse der marktorientierten Interaktionen dienen zur Identifika- tion der zeitlichen als auch räumlichen Effekte im Netzbetrieb. In diesem Rah- men wird eine koordinierte Spannungsregelung vorgeschlagen, welche sowohl lokale als auch statische Proportionalregler mit Fernsteuerungsalgorithmen miteinander kombiniert. Dies ermöglicht die Nutzung zusätzlicher Flexibilitäten, die durch eine Vielzahl verteilter, erneuerbarer und mobiler Energieanlagen zur Verfügung gestellt werden, um zeitveränderliche Spannungsschwankungen abzuschwächen. Ergänzend wird ein aktives Netzmanagement modelliert, welches es unter anderem ermöglicht, Steuerungsalgorithmen für das Lademanagement von Elektrofahrzeugen in Verteil- netzen zu testen. Zur Bestimmung der Simulationsergebnisse werden entsprechende Auswertungsfunktionen und Programmierindikatoren vorgestellt. iv ACKNOWLEDGMENTS First and foremost, I would like to thank Prof. Dr. Kai Strunz who has advised me over the last years. I am very grateful to him for taking care of the work and for his advice as a researcher and scientist in the area of sustainable electric networks and sources of energy. My special thanks also go to Prof. Antonello Monti and Prof. Dr. Olav B. Fosso for supporting the thesis and for undergoing the evaluation and defense process. I would like to express my gratitude to Prof. Dr. Nikos Hatziargyriou, Prof. Dr. João Peças Lopes, Dr. Spyros Skarvelis-Kazakos, Evangelos Karfopoulos, Anthony Walsh, Marius Ellingsen, and Michael Rivier whose cooperation in the MERGE project accompanied me all the way through my work dealing with electric vehicles. I would like to thank Prof. Dietmar Göhlich, Prof., Dr. Jan Kaiser, Daniel Freund, Enrico Lauth, Dr. Sven Gräbener, Dr. Olga Levina, Simone Torzynski, Dr. Kristina Bognar, Johannes Sigulla, Mauricio Rojas, Robert Schmidt and Robert Demmig for a close collaboration during the projects Berlin Elektromobil, Berlin-Brandenburg International Showcase for Electromobility and Research Campus Mobility2Grid. I am thankful to my colleagues, especially Dr. Arnaldo Arancibia, Dr. Maren Kuschke, Despina Koraki, Flavio Gromann, Dr. Felix Klein, Dr. Ehsan Abbasi who helped with advice and fruitful discussion. I would like to especially thank Peter Teske and Markus Gronau for the cooperation in our laboratory developments, and for providing the necessary
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