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Optimal operation of interconnected microgrids

Moungos Konstantinos

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Summary

In response to rising energy consumption and its adverse environmental impact, there is an urgent demand for innovative technologies in intelligent energy management systems. The integration of Renewable Energy Sources into power systems is crucial for achieving short-term reduction in greenhouse gas emissions and long-term elimination. However, this integration presents challenges, particularly with distributed generation, introducing complexities and technical obstacles. This work develops advanced fully parametric systems to optimize energy management within complex Microgrids. It also enables Microgrids to participate in Peer-to-Peer energy markets with their neighbors, enhancing resilience and offering financial benefits by leveraging diverse profiles of non-controllable energy sources based on individual Microgrid locations. The study examines various energy systems, ranging from residential buildings to extensive Plug-In Electric Vehicle parking facilities, and develops models for system components, including thermal and electrical building loads. Critical and non-critical loads are separately addressed in this work. Additionally, a dynamic equivalent aggregate battery model is created for Plug-In Electric Vehicle clusters in Microgrid parking lots. This research presents a comprehensive framework for Energy Management Systems within interconnected Microgrids, reconciling two strategies: Microgrid energy management and participation in the Peer-to-Peer Electricity Market. With this approach, each Microgrid consistently adapts its operations based on market dynamics, aligning actions with financial objectives and operational efficiency. A significant advantage of this thesis is that during participation in the Peer-to-Peer market, each Microgrid shares only information about power quantity and the offered price it is willing to trade, preserving internal information. Furthermore, market participation is achieved through non-cooperative game theory, supporting the idea that each Microgrid can have its distinct objectives. This flexibility is vital in liberalized markets where Microgrids may belong to different companies with unique objectives.

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