Intelligent Power Flow Management of Renewable-Powered EV Charging Stations Using Optimization Methods
Keywords:
power flow management, multi- source renewable energy, Energy Management, supercapacitors, blockchain.Abstract
The increasing adoption of renewable energy sources at electric vehicle charging stations makes strong, advanced power flow management techniques necessary to optimize power flow, increase efficiency, and ensure reliability of the system. A number of approaches- heuristic, deterministic, and a mix of both-have been used in multi-source renewable charging stations for optimising energy supply and demand dynamically as presented in this paper. Key issues covered include the use of power flow control, type of renewable energy source used, energy distribution problems, and metrics of performance measurement. The article discusses the relevance of real-time energy management, predictive analytics, and smart grid integration in order to improve sustainability, reduce the operational cost, and minimize reliance on fossil fuel. Applications of power flow management are found in various areas such as EV infrastructure, microgrids, industrial energy systems, and rural electrification. These findings tend to show that effective optimization techniques are employed, such as AI-driven models and demand-side energy management that will make renewable-powered charging stations economically viable and sustainable for a long time.
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