E-ISSN 22498974
  International Journal of Advanced Engineering Research and Studies
                                                                             -An Open Access Peer Reviewed e-Journal

 
 

HIGH STATIC GAIN FOR SOLAR APPLICATION USING MODIFIED SEPIC CONVERTER

IJAERS/Vol. VI/Issue II/April-June, 2018/01-03

Authors:Mamata Haniminal, Dr. Shenbaga Lakshmi

ABSTRACT
High static gain DC-DC converters are nowadays an important research focus due to the crescent demand of this technology for some applications as renewable energy sources, fuel-cells, low power wind turbine, photovoltaic(PV) modules, embedded systems, portable electronic equipment, uninterrupted power supply, battery powered systems and others applications supplied by low DC voltage energy sources. High step-up ratio is necessary when some loads operate with and DC or AC peak voltage higher than ten times the input source voltage. The modified SEPIC converter with magnetic coupling, gives a very high static gain solution with minimizing the commutation losses, voltage stress and reverse recovery problem. And also gives a high efficiency as compared to modified SEPIC converter without magnetic coupling.

A NEW APPROACH FOR OPTIMAL DG PLACEMENT AND SIZING BASED ON VOLTAGE STABILITY MAXIMIZATION AND MINIMIZATION OF POWER LOSS

IJAERS/Vol. VI/Issue III/Jan.-March, 2018/04-06

Authors: Rasika Kulkarni, Prof. S. L. Mhetre

ABSTRACT
Power utilities are facing major challenges as the demand of power system is growing exponentially. The existing transmission line infra-structure e is not capable to support such a huge power demand. The present need is either to invest in transmission system to increase the capacity or provide the consumer demand locally by Distributed Generation (DG). A new multi-objective approach for optimum DG placement, considering minimization of power losses and maximization of voltage stability due to finding weakest voltage bus as well as due to weakest link in the system. Considered Particle Swarm Optimization (PSO) technique to solve the multi-objective function.