Peak reduction for commercial buildings using energy storage

作者：Kein Huat Chua, Yun Seng Lim, Stella Morris · 发表于：IOP Conference Series Earth and Environmental Science · 年份：2017 · DOI：10.1088/1755-1315/93/1/012008 · 被引用次数：11 · 研究领域：Smart Grid Energy Management、Microgrid Control and Optimization、Building Energy and Comfort Optimization

Battery-based energy storage has emerged as a cost-effective solution for peak reduction due to the decrement of battery's price. In this study, a battery-based energy storage system is developed and implemented to achieve an optimal peak reduction for commercial customers with the limited energy capacity of the energy storage. The energy storage system is formed by three bi-directional power converter rated at 5 kVA and a battery bank with capacity of 64 kWh. Three control algorithms, namely fixed-threshold, adaptive-threshold, and fuzzy-based control algorithms have been developed and implemented into the energy storage system in a campus building. The control algorithms are evaluated and compared under different load conditions. The overall experimental results show that the fuzzy-based controller is the most effective algorithm among the three controllers in peak reduction. The fuzzy-based control algorithm is capable of incorporating a priori qualitative knowledge and expertise about the load characteristic of the buildings as well as the useable energy without over-discharging the batteries.