Smart Charging in Solar Microgrids: Intelligent Forecasting and Control for Sustainable Electric Mobility
暫譯: 太陽能微電網中的智慧充電：可持續電動交通的智能預測與控制
Zaporozhets, Artur
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商品描述
The integration of microgrids with solar generation enhances energy efficiency, stability, and sustainability. Yet, managing such systems requires advanced forecasting and optimisation models. Microgrids that unite distributed sources, storage, and intelligent control enable efficient energy use even under grid constraints. Powering electric vehicle charging stations with solar energy supports eco-friendly and independent mobility.
This book explores modern methods for modelling and controlling EV charging stations within solar-powered microgrids. It focuses on predictive models, load balancing, and optimisation algorithms that improve energy distribution and grid reliability. Special attention is given to intelligent control strategies, machine learning applications, and adaptive scheduling. The presented approaches advance sustainable energy development, enabling flexible, efficient, and environmentally friendly charging infrastructure for the electric transport of the future.商品描述(中文翻譯)
微電網與太陽能發電的整合提升了能源效率、穩定性和可持續性。然而，管理這些系統需要先進的預測和優化模型。結合分散式能源、儲能和智能控制的微電網，即使在電網限制下也能實現高效的能源使用。利用太陽能為電動車充電站供電支持環保和獨立的移動方式。
本書探討了在太陽能驅動的微電網中建模和控制電動車充電站的現代方法。重點在於預測模型、負載平衡和優化算法，這些方法能改善能源分配和電網可靠性。特別關注智能控制策略、機器學習應用和自適應排程。
所提出的方法推進了可持續能源發展，使未來的電動交通能夠擁有靈活、高效和環保的充電基礎設施。
