EconPapers    
Economics at your fingertips  
 

Dynamic operation and control of microgrid hybrid power systems

Ting-Chia Ou and Chih-Ming Hong

Energy, 2014, vol. 66, issue C, 314-323

Abstract: This paper examines dynamic operation and control strategies for a microgrid hybrid wind–PV (photovoltaic)–FC (fuel cell) based power supply system. The system consists of the PV power, wind power, FC power, SVC (static var compensator) and an intelligent power controller. A simulation model for this hybrid energy system was developed using MATLAB/Simulink. An SVC was used to supply reactive power and regulate the voltage of the hybrid system. A GRNN (General Regression Neural Network) with an Improved PSO (Particle Swarm Optimization) algorithm, which has a non-linear characteristic, was applied to analyze the performance of the PV generation system. A high-performance on-line training RBFNSM (radial basis function network-sliding mode) algorithm was designed to derive the optimal turbine speed to extract maximum power from the wind. To achieve a fast and stable response for real power control, the intelligent controller consists of an RBFNSM and a GRNN for MPPT (maximum power point tracking) control. As a result, the validity of this paper was demonstrated through simulation of proposed algorithm.

Keywords: Microgrid; Fuel cell (FC); Photovoltaic (PV); Wind power system; Radial basis function network-sliding mode (RBFNSM); General regression neural network (GRNN) (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (23) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544214000504
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:66:y:2014:i:c:p:314-323

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Series data maintained by Dana Niculescu ().

 
Page updated 2017-09-29
Handle: RePEc:eee:energy:v:66:y:2014:i:c:p:314-323