[實習主題] -- 智慧低碳微電網：動態需求響應與綠電交易最佳化

指導老師: 謝依芸 教授

專案經理: 丁俊瑋

實習名額: 1-2位

是否同意遠距: 否

專案類型: 應用型 (預期讓實習生把技能運用在正在進行的研究計劃中)

隨著全球淨零碳排目標的推進，智慧低碳微電網成為促進綠電交易、最佳化能源分配、並實現減碳目標的重要方案。本專案聚焦於綠電交易市場的機制設計與最佳化策略，透過動態需求響應技術提升能源配置效率，並最大化再生能源的經濟與環境效益。為提高綠電交易的靈活性與公平性，本研究將開發最佳化演算法與市場機制，讓用戶能夠根據即時供需狀況進行自主交易，提升再生能源的市場價值。此外，動態需求響應可透過價格引導與智慧控制技術，調節用戶側負載，減少化石能源依賴，進一步降低碳排放。本專案將綜合應用最適控制與經濟分析方法，優化微電網的能源交易與調度策略，確保系統穩定運行的同時，提升經濟回報與碳減排成效。最終，研究成果將為智慧低碳微電網的發展提供創新解決方案，加速綠能轉型與永續能源市場的建構。

As the global push toward net-zero carbon emissions accelerates, smart low-carbon microgrids have emerged as a key solution for optimizing energy allocation, facilitating green energy trading, and achieving carbon reduction goals. This project focuses on designing market mechanisms and optimization strategies for green energy trading, leveraging dynamic demand response to enhance energy efficiency and maximize both economic and environmental benefits. To improve the flexibility and fairness of green energy trading, this research will develop optimization algorithms and market mechanisms that enable users to conduct real-time transactions based on supply and demand conditions, thereby increasing the market value of renewable energy. Additionally, dynamic demand response, guided by pricing strategies and intelligent control technologies, will adjust consumer-side loads, reduce reliance on fossil fuels, and further lower carbon emissions. This project integrates optimal control and economic analysis methods to enhance energy trading and dispatch strategies within microgrids, ensuring system stability while maximizing economic returns and carbon reduction effectiveness. Ultimately, the research outcomes will provide innovative solutions for the development of smart low-carbon microgrids, accelerating the transition to green energy and the establishment of a sustainable energy market.