Optimal Design of MPPT Controllers for Grid Connected Photovoltaic Array System

Author:

Ebrahim M. A.,AbdelHadi H. A.,Mahmoud H. M.,Saied E. M.,Salama M. M.

Abstract

Abstract Integrating photovoltaic (PV) plants into electric power system exhibits challenges to power system dynamic performance. These challenges stem primarily from the natural characteristics of PV plants, which differ in some respects from the conventional plants. The most significant challenge is how to extract and regulate the maximum power from the sun. This paper presents the optimal design for the most commonly used Maximum Power Point Tracking (MPPT) techniques based on Proportional Integral tuned by Particle Swarm Optimization (PI-PSO). These suggested techniques are, (1) the incremental conductance, (2) perturb and observe, (3) fractional short circuit current and (4) fractional open circuit voltage techniques. This research work provides a comprehensive comparative study with the energy availability ratio from photovoltaic panels. The simulation results proved that the proposed controllers have an impressive tracking response. The system dynamic performance improved greatly using the proposed controllers.

Publisher

Walter de Gruyter GmbH

Subject

Energy Engineering and Power Technology

Reference42 articles.

1. Mathematical Modeling of photovoltaic module with Simulink;Int Conf Electr Energy Syst,2011

2. Stabilizing and swinging-up the inverted pendulum using PI and PID controllers based on reduced linear quadratic regulator tuned by PSO;Int J Syst Dyn Appl,2015

3. Optimization of proportional integral- differential controller for wind power plant using particle swarm optimization technique;Int J Electr Power Eng,2012

4. Modeling and control for smart grid integration of solar / wind energy conversion system nd PES International Conference on Innovative Smart Grid Technologies;Natsheh;IEEE,2011

5. Optimization of proportional integral- differential controller for wind power plant using particle swarm optimization technique;Int J Emerg Technol Sci Eng,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3