With the development of Smart Grids and Virtual Power Plants (VPPs), energy systems are developing towards decentralized, intelligent, and sustainable structures. With the goal optimize energy generation, consumption and distribution and improve efficiency, dependability, and resilience, smart grids make use of use of advanced connectivity, automation, and data analytics. For the purpose of to facilitate grid balancing and smooth coordination, VPPs serve up as digital a platform that integrate Distributed Energy Resources (DERs), includes solar panels, wind turbines, and energy storage devices. By enabling peer-to-peer continuous tracking, demand response, trade of energy, and these developments collaborate to enhance decentralized energy systems. By employing predictive analytics and machine learning they make possible the integration of renewable energy, enhance grid stability and reduce dependency on fossil fuels. They can also open up transformative potential by achieving energy sustainability and decarbonization. Therefore, this chapter discusses key technologies, benefits, and challenges associated with the adoption of these systems in the near future and the important role that these will play in enabling flexible and intelligent energy infrastructures.

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Smart Grids and Virtual Power Plants: Enabling the Future of Decentralized Energy Systems

  • M. Yuvarani,
  • R. Saranya,
  • V. Karthi,
  • T. Govindraj,
  • T. Vinitha

摘要

With the development of Smart Grids and Virtual Power Plants (VPPs), energy systems are developing towards decentralized, intelligent, and sustainable structures. With the goal optimize energy generation, consumption and distribution and improve efficiency, dependability, and resilience, smart grids make use of use of advanced connectivity, automation, and data analytics. For the purpose of to facilitate grid balancing and smooth coordination, VPPs serve up as digital a platform that integrate Distributed Energy Resources (DERs), includes solar panels, wind turbines, and energy storage devices. By enabling peer-to-peer continuous tracking, demand response, trade of energy, and these developments collaborate to enhance decentralized energy systems. By employing predictive analytics and machine learning they make possible the integration of renewable energy, enhance grid stability and reduce dependency on fossil fuels. They can also open up transformative potential by achieving energy sustainability and decarbonization. Therefore, this chapter discusses key technologies, benefits, and challenges associated with the adoption of these systems in the near future and the important role that these will play in enabling flexible and intelligent energy infrastructures.