Design and Implementation of Energy Management System With Fuzzy Control for DC Microgrid Systems

2013 ◽  
Vol 28 (4) ◽  
pp. 1563-1570 ◽  
Author(s):  
Yu-Kai Chen ◽  
Yung-Chun Wu ◽  
Chau-Chung Song ◽  
Yu-Syun Chen
Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4074
Author(s):  
Alfredo Padilla-Medina ◽  
Francisco Perez-Pinal ◽  
Alonso Jimenez-Garibay ◽  
Antonio Vazquez-Lopez ◽  
Juan Martinez-Nolasco

The design and implementation of an energy-management system (EMS) applied to a residential direct current microgrid (DC-µG) is presented in this work. The proposed residential DC-µG is designed to provide a maximum power of one kilowatt by using two photovoltaic arrays (PAs) of 500 W, a battery bank (BB) of 120 V–115 Ah, a supercapacitor module of 0.230 F and a bidirectional DC–AC converter linked to the AC main grid (MG). The EMS works as a centralized manager and it defines the working operation mode for each section of the DC-µG. The operation modes are based on: (1) the DC-link bus voltage, (2) the generated or demanded power to each section of the DC-µG and (3) the BB’s state of charge. The proposed EMS—during the several working operation modes and at the same time—can obtain the maximum energy from the PAs, reduce the energy consumption from the main grid and keep the DC-link bus voltage inside a range of 190 V ± 5%. The EMS and local controllers are implemented by using LabVIEW and NI myRIO-1900 platforms. Moreover, experimental results during connection and disconnection of each DC-µG sections and different on-the-fly transitions are reported, these results focus on the behavior of the DC bus, which shows the DC bus robustness and stability. The robustness of the DC-µG is demonstrated by maintaining a balance of energy between the sources and loads connected to the DC bus under different scenarios.


2014 ◽  
Vol 556-562 ◽  
pp. 1472-1475 ◽  
Author(s):  
Bing Dong ◽  
Yan Tao Tian ◽  
Chang Jiu Zhou

This thesis puts forward one optimal adaptive fuzzy control method based on the pure electric vehicle energy management system of the fuzzy control which has been founded already. By adding an optimizing researching model based on the conventional fuzzy control strategy, the thesis can pick up the valuable control rules based on the dynamic programming theory and also can adjust the parameter of the fuzzy controller automatically according to the system operating. These can make the sum of the energy loss reduce to the min. The experiment points out that this method makes the vehicle possess good economic performance in the same driving cycle.


2013 ◽  
Vol 12 (18) ◽  
pp. 4797-4804 ◽  
Author(s):  
Wei Pei ◽  
Wei Deng ◽  
Ziqi Shen ◽  
Zhenxing Zhao ◽  
Jiarui Wang

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