A novel fuzzy control algorithm for reducing the peak demands using energy storage system

被引：51

作者：

Chua, Kein Huat ^{[1
]}

Lim, Yun Seng ^{[1
]}

Morris, Stella ^{[1
]}

机构：

[1] Univ Tunku Abdul Rahman, Fac Sci & Engn, Jalan Sungai Long, Sungai Long 43000, Selangor, Malaysia

来源：

ENERGY | 2017年 / 122卷

关键词：

Energy storage; Peak demand; Peak reduction; Fuzzy control; Commercial and industrial customers; BATTERY; MICROGRIDS; SUPPORT;

D O I：

10.1016/j.energy.2017.01.063

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Commercial and industrial customers are subject to the monthly maximum demand charges which can be as high as 30% of the total electricity bills. Battery-based energy storage system (BESS) can be used to reduce the monthly maximum demand charges. A number of control strategies have been developed for the BESS to reduce the daily peak demands. A fuzzy control algorithm is developed to reduce the daily peak demands with the limited capacity of the BESS. Its performance is evaluated at two different buildings, namely building A and B. The fuzzy controller forecasts the load profile one day in advance using the historical load data. Then during the day of peak reduction, the controller will adjust the power output of BESS using the latest state of charge and operation time. The performance of the fuzzy controller is compared with other two controllers developed in the past. The experimental results show that fuzzy controller is the most effective approach for the peak reduction under the limited capacity of the BESS. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：265 / 273

页数：9

共 31 条

[1] Feasibility study for a standalone solar-wind-based hybrid energy system for application in Ethiopia [J].