포항공과대학교 · 에너지
J. Prasanth Ram 교수의 연구실은 태양광 발전 시스템의 최적 출력을 확보하기 위한 최신 최적화 알고리즘 기반의 최대출력점추적(MPPT) 기술에 중점을 두고 있습니다. 특히 부분 쐐기 조건에서 발생하는 다중 최대출력점 문제를 해결하기 위해 자연 기반 휘발성 알고리즘인 꽃 수분 알고리즘(FPA)과 개선된 입자군집최적화(ELPSO)를 응용한 혁신적인 기법을 개발하고 있습니다. 또한 유기 태양전지의 정확한 모델링과 전력 시스템의 효율성 향상에도 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
To maximize solar photovoltaic (PV) output under dynamic weather conditions, maximum power point tracking (MPPT) controllers are incorporated in solar PV systems. However, the occurrence of multiple peaks due to partial shading adds complexity to the tracking process. Even though conventional and soft computing techniques are widely used to solve MPPT problem, conventional methods exhibit limited performance due to fixed step size, whereas soft computing techniques are restricted by insufficient
Nonhomogeneous irradiation conditions due to environmental changes introduce multiple peaks in nonlinear P -V characteristics. Hence, to operate photovoltaic at the global power point, numerous algorithms have been proposed in the literature. However, due to the insufficient exploitation of control variables, all the maximum power point tracking (MPPT) methods presented in the literature fail to guarantee global maximum power point (GMPP) operation. In this paper, a new detection technology to i
Photovoltaic Electrical Power Generation System (PV-EPGS) is gaining more importance due to its benefits like no fuel cost, eco-friendliness and less maintenance. However, harnessing the maximum power from large PV-EPGS has become difficult due to the occurrence of a number of peaks in P-V characteristics under partial shaded conditions. This paper presents simulation study of MPPT under partially shaded conditions using the modified version of Particle Swarm Optimization method known as Enhance
Due to the regular availability, pollution free and eco-friendly nature, power generation from solar energy has gained considerable attention. Although, power generation from solar is attractive; the environmental factors such as irradiation and temperature makes it challenging. In particular, it is a demanding task to researchers to extract maximum power different shading conditions. However, to extract maximum power various MPPT techniques have been proposed in conventional method and Evolutio
