Abstract flexibility description for virtual power plant scheduling

In the ongoing paradigm shift of the energy market from big power plants to more and more small and decentralized power plants, virtual power plants (VPPs) play an important role. VPPs bundle the capacities of the small and decentralized resources (DER). Planing of VPP operation, that is also called scheduling, relies on the flexibilities of controllable DER in the VPP, e.g., combined heat and power plants (CHPs), heat pumps and batteries. The aim of this thesis is the development of an abstract, consistent and precise flexibility description for VPP scheduling. Therefore I have developed the cascade classification model, an adaptable classifier. Later on the cascade classification model is evaluated experimentally and the fulfillment of the flexibility description requirements is analyzed. Finally the applicability of the cascade classification model as a flexibility description in VPP scheduling tasks is analyzed.

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