Zusammenfassung
Die Optimierung von Engpassmanagementmaßnahmen ist ein bedeutender Forschungsschwerpunkt in der elektrischen Energieversorgung. Hierfür haben sich unterschiedlichste Methoden etabliert. Diese Methoden verwenden sowohl klassische als auch heuristische Optimierungsalgorithmen, um das Engpassmanagementproblem zu lösen. Der Fokus dieser Veröffentlichung liegt auf der Darstellung aller Schritte, die zur Linearisierung des Engpassmanagementproblems notwendig sind. Darauf aufbauend wird ein gemischt ganzzahliges lineares Optimierungsproblem aufgebaut, das sowohl die Kraftwerkseinsatzplanung als auch das Engpassmanagement umfasst. Die entwickelten Optimierungsalgorithmen werden auf ein Testszenario basierend auf dem IEEE 24 Knoten Netz angewandt. Mit Hilfe des vorgestellten Algorithmus ist es möglich, das Netz engpassfrei zu betreiben. Zum Ausgleich des Linearisierungsfehlers muss der Algorithmus auf das Beispielnetz dreimal angewandt werden.
Abstract
Optimizing congestion management measures is an important field of research in electric energy supply. Therefore, different methods are established. These methods are using classical as well as heuristic optimization algorithms to solve the congestion management problem. This contribution focuses on describing all steps that are necessary to linearize the congestion management problem. Based on this, mixed integer linear optimization algorithms are developed to solve the unit commitment and the congestion management process. The developed algorithms are applied on a test scenario based on IEEE 24 bus system. The developed algorithm ensures a network operation without contingencies. To compensate the linearization error, the optimization algorithm is applied three times on the given test system.
Über die Autoren
M. Sc. Christian Klabunde ist wissenschaftlicher Mitarbeiter am Lehrstuhl für Elektrische Netze und Erneuerbare Energie der Otto-von-Guericke-Universität Magdeburg und Leiter der Arbeitsgruppe “Netzplanung und-führung”. Seine Forschungsschwerpunkte sind Methoden zur Optimierung von Netzbetriebskonzepten, insbesondere des Engpassmanagements und der Sektorenkopplung.
Prof. Dr.-Ing. habil. Martin Wolter ist Inhaber des Lehrstuhls für Elektrische Netze und Erneuerbare Energie (LENA) und geschäftsführender Institutsleiter des Instituts für Elektrische Energiesysteme der Otto-von-Guericke-Universität Magdeburg. Sein Forschungsprofil umfasst u. a. Modellierung elektrischer Energiesysteme, Netzplanung sowie Systemführung.
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