需量反應與能源管理系統之整合應用

近年再生能源比例逐漸提高造成電網供電不穩定，需量反應技術即可做為再生能源問題之技術解決方案，能源管理系統與電網之整合為未來方向。本系統將大數據與人工智慧演算法導入IoT（Intelligence and Internet of Things）能源管理系統，整合節電控制與電網互動功能，開發電網互動式AIoT（Artificial Intelligence and Internet of Things）能源管理系統，利用超市與超商之能源管理系統設備用電特性與歷史運轉參數數據，提供開發自動化需量反應演算法所需之依據，藉以達成系統級動態自動需量反應控制策略，有利於提升能源管理系統附加價值，並且跟上國際最新發展趨勢。

關鍵字

需量反應；能源管理系統；電力交易

並列摘要

In recent years, the proportion of renewable energy has gradually increased, resulting in unstable power supply in the power grid. Demand response technology can be used as a technical solution to the problem of renewable energy. The integration of energy management systems and power grids is the future direction. This system uses big data and artificial intelligence algorithms to import the IoT (Intelligence and Internet of Things) energy management system, integrates power-saving control and grid interaction functions, and develops a grid-interactive AIoT (Artificial Intelligence and Internet of Things) energy management system. The power consumption characteristics and historical operating parameter data of energy management system equipment in supermarkets and supermarkets provide the basis for developing automated demand response algorithms to achieve system-level dynamic automated demand response control strategies, which is conducive to increasing the added value of energy management systems, and keep up with the latest international development trends.