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صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Two-Stage Stochastic Modeling for Energymnagement and Control of Virtual Power Plants: Addressing Renewable Energy Challenges
نویسندگان :
Mohammadreza Mousavi Khademi
1
Mehdi Zareian Jahromi
2
1- شرکت توزیع نیروی برق هرمزگان
2- دانشگاه صنعتی امیرکبیر
کلمات کلیدی :
Index Terms-Virtual Power Plants (VPPs)،Renewable Energy Integration،Stochastic Optimization،Voltage Regulation،Decentralized Energy Management
چکیده :
Abstract-Because renewable energy sources are uncertain and fluctuating, integrating them into the main power grid presents considerable hurdles. The idea of a Virtual Power Plant (VPP) is one of the creative approaches needed to effectively handle this complexity. A VPP combines the capabilities of dispersed renewable energy sources, allowing for their efficient and decentralized integration, coordination, and management.In order to optimize VPP control and operation, this research presents a novel approach. The main goals of the suggested architecture are to reduce operating costs, maintain steady system voltage levels, and mitigate the inherent limits of renewable energy sources. A two-stage stochastic simulation model that methodically examines the uncertainty related to electricity market pricing and renewable energy generation is also included in the paper. The outcomes of the simulation demonstrate how well the framework works to improve operational safety and efficiency, maintain energy balance, and increase grid resilience. The system exhibits a notable decrease in operating expenses while guaranteeing a stable and sustainable energy supply by utilizing the potential of the suggested VPP structure. In addition to addressing present issues, this strategy offers a scalable solution for energy systems of the future, opening the door for more robust and profitable integration of renewable energy.
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