Renewable energy sector is undergoing rapid expansion as the global focus is shifting towards cleaner, reliable and sustainable resources. As the new installation of these resources are well underway, there is tremendous potential for exploring these to more advanced control algorithms. Model predictive control is gaining immense popularity because of its flexible controllability, its ability to be used in any of application irrespective of its field as well as the availability of fast processors. This paper presents a systematic review on Photo-voltaic (PV) and wind energy systems controlled by Model predictive control approach. The work presented here will help the researchers to further explore the flexibility of this controller for design, analysis and implementation in renewable energy systems. © 2017 Elsevier Ltd

Razia Sultana W

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Yamuna M

Department of Mathematics

School of Advanced Sciences

Sahoo S.K

Sukchai S

Venkatesh D.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Renewable and Sustainable Energy Reviews

Application of soft computing methods for grid connected PV system: A technological and status review

In recent past, numerous multilevel architectures came into existence. In this background, cascaded multilevel inverter (CMLI) is the promising structure. This type of multilevel inverters synthesizes a medium voltage output based on a series connection of power cells which use standard low-voltage component configurations. This characteristic allows one to achieve high-quality output voltage and current waveforms. However, when the number of levels increases switching components and the count of dc sources are also increased. This issue became a key motivation for the present paper. The present paper is devoted to investigate different types of CMLI which use less number of switching components and dc sources and finally proposed a new version of Multi-cell based CMLI. In order to verify the proposed topology, MATLAB – simulations and hardware verifications are carried out and results are presented. © 2016 Ain Shams University

Fulltext

Ain Shams Engineering Journal

Investigation on cascade multilevel inverter with symmetric, asymmetric, hybrid and multi-cell configurations

The technological advancement of renewable energy has created a significant need for research under the PV/wind based hybrid system. This article presents a detailed review of the integrated PV/wind hybrid power generation system with the primary focus on the energy crisis and its sustainability in the future. This paper highlights mainly imperative problems, disputes in the availability of resources and the importance of hybrid renewable systems. The structure of power electronic converters and their operation with integrated hybrid systems are discussed in detail. Energy management of PV/wind input sources along with the battery and their corresponding control technologies are dealt with. The recent statistics of the global status of successful PV/wind integrated projects, the future vision of an integrated power generation and important challenges facing the general deployment of PV/wind integrated power generation techniques are also presented. © 2016 Elsevier Ltd

Resources, configurations, and soft computing techniques for power management and control of PV/wind hybrid system

This paper investigates a new scheme for Finite State Model Predictive Control fed five level Cascaded Multilevel Inverter. This proposed method uses 19 voltage vectors out of totally 125 voltage vectors of the Cascaded Multilevel inverter. Since this inverter has many switches, reducing the average switching frequency is the matter of great importance for high voltage applications, as they contribute to significant switching losses. Two schemes of Finite State Model Predictive Control (FSMPC) are proposed i.e. FSMPC1 employing the current control of the Cascaded Multilevel inverter with less (19) voltage vectors and FSMPC2 aiming the control of inverter load current as well as reducing the average switching frequency using 19 vectors. The performance of the proposed schemes is compared with conventional 61 voltage vector scheme of the Cascaded multilevel Inverter. The results show that both the proposed schemes perform well for steady state and dynamic operating conditions. © 2016 Faculty of Engineering, Ain Shams University

A computationally efficient finite state model predictive control for cascaded multilevel inverter

Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm

A review on state of art development of model predictive control for renewable energy applications

Journal	Data powered by TypesetRenewable and Sustainable Energy Reviews
Publisher	Data powered by TypesetElsevier BV
ISSN	1364-0321
Open Access	0