The Review on the Topology of Battery-Supercapacitor Hybrid System Applied into the Real-Time Wind Power Suppression

The energy storage technique is one of the most effective means for the real-time wind power regulation. Firstly, this paper discussed the operation mode of energy storage system for real-time wind power regulation. At the same time, we proposed that the energy storage system applied into the real-time wind power regulation should be of the properties of high power density, high energy density and long cycle life. By analyzing the properties of battery and supercapacitor, we arrive at the conclusion that the battery-supercapacitor hybrid system obtains the enhanced characteristics to meet the performance requirement for energy storage system. In order to achieve the real-time wind power suppression, we carried out a comparative research on the topology of battery-supercapacitor hybrid system. The operation mode of each topology was discussed. From the standpoint of practical engineering, the merits and deficiencies of each topology were explored.

Download Full-text

Energy Management of a Multi-Source Vehicle by λ-Control

Applied Sciences ◽

10.3390/app10186541 ◽

2020 ◽

Vol 10 (18) ◽

pp. 6541

Author(s):

Ali Castaings ◽

Walter Lhomme ◽

Rochdi Trigui ◽

Alain Bouscayrol

Keyword(s):

Energy Storage ◽

Fuel Cell ◽

Real Time ◽

Energy Management ◽

Management Strategy ◽

Storage System ◽

Energy Storage System ◽

Energy Management Strategy ◽

The Real ◽

Hydrogen Consumption

This paper deals with the real-time energy management of a fuel cell/battery/supercapacitors energy storage system for electric vehicles. The association of the battery and the supercapacitors with the fuel cell aims to reduce the hydrogen consumption while limiting the constraints on the fuel cell and the battery. In this paper, a real-time optimization-based energy management strategy by λ-control is proposed. Simulation results on a standard driving cycle show that the hydrogen consumption is reduced by 7% in comparison with a fuel-cell-based electric vehicle without any secondary energy storage source. Moreover, the energy management strategy ensures the system safety while preserving the fuel cell and the battery. Experimental results show that the developed energy management strategy is well-suited for the real-time requirements, applicability, and safety.

Download Full-text

Modeling and real time digital simulation of microgrids for campuses Malta and Jordan based on multiple distributed energy resources

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v21.i2.pp657-672 ◽

2021 ◽

Vol 21 (2) ◽

pp. 657

Author(s):

Sidahmed Khiat ◽

Abdelkader Chaker ◽

Lazaros Zacharia ◽

Ahmed Onen

Keyword(s):

Energy Storage ◽

Real Time ◽

Power Flow ◽

Renewable Energy Sources ◽

Digital Simulation ◽

Storage System ◽

Energy Storage System ◽

Valuable Insight ◽

Test Bed ◽

The Real

<p>This paper presents the modeling and real-time digital simulation of two microgrids: the malta college of arts, science and technology (MCAST) and the german jordan university (GJU). The aim is to provide an overview of future microgrid situation and capabilities with the benefits of integrating renewable energy sources (RES), such as photovoltaic panels, diesel generators and energy storage systems for projects on both campuses. The significance of this work starts with the fact that real measurements were used from the two pilots, obtained by measuring the real physical systems. These measures were used to plan different solutions regarding RES and energy storage system (ESS) topologies and sizes. Also, the demand curves for the real microgrids of MCAST and GJU have been parameterized, which may serve as a test bed for other studies in this area. Based on actual data collected from the two pilots, a real-time digital simulation is performed using an RT-LAB platform. The results obtained by this tool allow the microgrid manager to have a very accurate vision of the facility operation, in terms of power flow and default responses. Several scenarios are studied, extracting valuable insight for implementing both projects in the future. Eventually, the proposed models would be a blueprint for training and research purposes in the microgrid field.</p>

Download Full-text