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

Razia Sultana W

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Sahoo S.K

Sesha Saikiran K

Rajasekhar Reddy G.R.T

Harshavardhan Reddy P.

Fulltext

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

Ain Shams Engineering Journal

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

Renewable and Sustainable Energy Reviews

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

Power efficient transmission has received significant attention among cellular network operators to reduce the environmental effects and to maintain profitability. Since the evolved node base station (eNB) is the primary power consumer in the cellular network, endeavours have been made to study eNB power consumption and to find approaches to enhance power efficiency. The concept of multi-hop relay (MHR) network is introduced in 4G and beyond standards to reduce the deployment cost and transmission power while improving the coverage and capacity. Here relay stations (RS) are also deployed by the network operators along with eNBs to maximize the average spectral efficiency per user. But the deployment of RSs is not standardized. Improper RS deployment leads to severe quality loss. In this work, RS deployment based on cost (RDBC) approach is utilized which identifies the RS deployment combinations and deploys different types of RSs to maximize the system quality. Through simulations, it is validated that the proposed approach maximizes the transmission quality, coverage and effectiveness in power consumption and minimizes the deployment cost and interference when compared to many of the conventional RS deployment approaches. The scheme utilized ensures power efficient transmission and acts as a potential candidate for green radio communication. © 2016 River Publishers.

Journal of Green Engineering

A Quality-Aware Relay Station Deployment Scheme for Green Radio Communication

In recent years, issues on greenhouse pollution and power consumption related to the operation of information communication technology (ICT) devices have triggered a huge amount of research work towards green radio communication. Many of the power efficient solutions will introduce cost performance trade-offs. The energy efficient solution which also takes care of the quality requests of the mobile customer is really required for the 5G based green radio communication. It is identified that enhanced nodeBs (eNB) are power inefficient and not suited for many deployment scenarios. Multihop relay (MHR) network is the suitable alternate for eNB especially in the coverage holes and cell edges. But MHR network suffers by various quality issues like site planning and path selection. Many of the site planning and path selection schemes will fail under network imbalance conditions. In this work, we have proposed a hybrid throughput oriented (TO) - load aware spectral efficient routing (LASER) scheme which offers high performance even under network load imbalance conditions. The simulation results proved that the proposed scheme is more suited for future green radio communication. © 2015 River Publishers.

Quality of Service Aware Multi-Hop Relay Networks for Green Radio Communication

A new low cost cascaded transformer multilevel inverter topology using minimum number of components with modified selective harmonic elimination modulation

IEEE Transactions on Power Electronics

Model-Predictive Control of Grid-Tied Four-Level Diode-Clamped Inverters for High-Power Wind Energy Conversion Systems

Control Engineering Practice

Model predictive control of a permanent magnet synchronous motor with experimental validation

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

Journal	Data powered by TypesetAin Shams Engineering Journal
Publisher	Data powered by TypesetElsevier BV
ISSN	2090-4479
Open Access	Yes