Enhancing the Strategic Management of Distributed Generation Assets and Energy Storage in a Large-Scale Virtual Power Plant, with a Focus on Load Shedding Mitigation

In the realm of modern energy systems, the effectve integraton and optmizaton of distributed generaton resources and energy storage units within large-scale Virtual Power Plants (VPPs) play a pivotal role in ensuring grid reliability and efciency. This study focuses on the intricate task of optmizing the planning and management of these resources in the context of a large-scale VPP while addressing the critcal issue of load shedding. The research employs robust mathematcal modeling and advanced optmizaton techniques to devise a framework for dayahead producton scheduling within the VPP. Key consideratons encompass not only the strategic allocaton of generaton and storage capacites but also the mitgaton of load shedding scenarios, a vital aspect in maintaining grid stability. Through comprehensive scenario-based analyses and probabilistc programming, the study explores various load shedding contngencies, elucidatng the potental impact on the VPP's operaton. The proposed model not only offers solutons to minimize load shedding but also maximizes the daily integrated proft, balancing the economic aspect of energy generaton.