Increased penetration of wind and solar PV system in Distributed Generation (DG) and isolated micro grid environment necessitates the use of maximum power point tracking method for wind and solar PV resources. Considering the change in environmental conditions and non-linearity, a variety of publications reporting various MPPT algorithms for solar and wind energy systems are put forward in recent times. But the review reports on common MPPT techniques used for solar and wind applications for hybrid power generation have not yet been reported. Hence, in this paper, conventional techniques and artificial intelligent techniques found extensively used in the power generation platform are peerly reviewed and compared. Historical MPPT methods like Perturb &amp; Observe (P&amp;O) / Hill Climbing, Incremental Conductance (INC), Fuzzy and Neural Network methods benchmarked in MPPT province are comprehensively compared in a common platform. In addition to the common existing techniques, recent swarm intelligence and bio-inspired techniques in solar PV and sensor less adaptive techniques in wind MPPT are also been reviewed provided for quality assessment. Finally an economic analysis is arrived for MPPT methods based on (i) Capacity utilization factor (ii) Cost (iii) Energy Savings (iv) payback period (v) Income generated and (vi) stability. © 2017 Elsevier Ltd

Rajasekar N

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Ram J.P

Miyatake M.

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

Control and energy management strategies applied for solar photovoltaic and wind energy fed water pumping system: A review

Factors influencing the efficiency of photovoltaic system

Array reconfiguration methods for PV arrays generally follow puzzle based mathematical methods for relocating PV modules. Being size constrained, no array reconfiguration techniques in literature is a reliable solution for effective shade dispersion in large sized PV arrays. Moreover, most of the physical relocation methods do not possess a well-defined and proven methodology to disperse the shade effect of a PV array irrespective of the system architecture. Hence, in this paper, a new two phase method compatible for PV arrays of any size is outlined and tested for effective shade dispersion. Having two different phases in shade dispersion process, the two-phase technology is found highly commendable in relocating PV panels such that illustrious shade dispersion is attained. To confirm its contribution in physical relocation scheme, four shade cases are considered and tested with other methods in literature. Furthermore, based on row current calculation and bypass effect, a quantitative comparison is also performed with popular physical relocation (SuDoKu), electrical reconfiguration (PSO) and conventional (TCT) interconnection schemes. As the results suggest, the fill factor attainment for the proposed two phase method for short wide case, long wide, short narrow and long narrow cases are 72%, 62%, 81% and 75% respectively. Furthermore, except for a single pattern, the power attainment with proposed method has benchmarked minimal of 700 W power improvement compared to TCT in all shade cases. © 2018 Elsevier Ltd

Energy Conversion and Management

Design and testing of two phase array reconfiguration procedure for maximizing power in solar PV systems under partial shade conditions (PSC)

The widespread use of Proton Exchange Membrane fuel cell for its unique advantages compelled researchers for precise modelling of its characteristics. Since, modelling becomes extremely important for better understanding, simulation, design, analysis and development of high efficiency fuel cell system. However, due to its non-linearity, multivariate and strongly coupled characteristics; mathematical modelling based on empirical equations was widely adopted. But, the shortage of data, complexity in modelling, and number of unknown parameters favored the use of optimization methods. Many optimization methods have been endeavored to model Proton Exchange Membrane fuel cell characteristics. However, no prior attempt has been made to consolidate the contributions. Hence, this paper comprehensively describes and discusses the various Artificial Intelligence/bio inspired methods applied for fuel cell parameter estimation problem. The methods background theory and its application to the problem is elaborated. It is envisioned that, this review will be a one stop solution to the researchers and engineers working in the area of fuel cell systems. © 2018 Elsevier Ltd

A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling

Large solar power plants in recent years has gained a momentary attraction since, the demand estimated for next few years has benchmarked has a monumental requirement for electrical energy. However, the solar power parks are often concerned with the shade occurrence resulting in power reduction. Hence, array reconfiguration schemes have became extremely popular to minimize the power loss under shade occurrences. In this paper, a new column index method based on one time physical relocation scheme is proposed. The proposed method possesses the advantage of having simple rewiring requirements since; the panels are rearranged in the respective column itself. Various parameters like mismatch loss and power loss are effectively measured and fill factor for four various shade occurrences are calculated. Simulation verification along with theoretical validation is performed for four existing schemes in literature. To strengthen the analysis, very recent Dominance Square (DS) method is also critically analyzed and compared. Finally, a qualitative comparison with various methods in literature is performed to contribute for quality check. © 2018 Elsevier Ltd

A simple, sensorless and fixed reconfiguration scheme for maximum power enhancement in PV systems

In recent years solar energy has received worldwide attention in the field of renewable energy systems. Among the various research thrusts in solar PV, the most proverbial area is extracting maximum power from solar PV system. Application dof Maximum Power Point Tracking (MPPT) for extracting maximum power is very much appreciated and holds the key in developing efficient solar PV system. In this paper, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented. To date critical analysis on each of the method in terms of (1) tracking speed, (2) algorithm complexity, (3) Dynamic tracking under partial shading and (4) hardware implementation is not been carried out. In this regard the authors have attempted to compile a comprehensive review on various solar PV MPPT techniques based on the above criteria. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for practicing engineers as well as for new researchers. © 2016 Elsevier Ltd

A comprehensive review on solar PV maximum power point tracking techniques

Over a period of years, Maximum Power Point Tracking has become a mandatory requirement for Solar Photo Voltaic (PV) systems. Being dependent to environmental changes, the PV power constantly fluctuates due to change in irradiation. Under such conditions, large PV array connected in interconnection will experience non-uniform irradiation thus results multiple peaks in P-V characteristics. Although many conventional and soft computing techniques have been proposed in literature, the ability to identify global peak under strong shading conditions is not guaranteed. Particularly, local peak in close agreement to global peak makes most of the algorithms to get trapped in local peaks. This condition often occurs due to insufficient randomness in algorithm hence, a new Flower Pollination Algorithm (FPA) is investigated in this research. Proposed method has dual mode search ability which creates required randomness in every iteration is the key reason to suit FPA for MPPT. Simulation and experimental results verified with different patterns portray FPA excellence under all irradiated conditions. Further performance of FPA is verified with Particle swarm Optimization method and conventional P&amp;O method. © 2016 Elsevier Ltd

Energy

A new global maximum power point tracking technique for solar photovoltaic (PV) system under partial shading conditions (PSC)

The double diode model for photovoltaic (PV) modules is currently less adopted than one-diode model because of the difficulty in the extraction of its seven unknown parameters IPV,I01,I02, Rs, Rp, a1 and a2, which is a serious inverse problem. This paper proposes application of the Fireworks Algorithm (FWA) for the accurate identification of these unknown parameters in such a way to solve effectively this modeling problem. In particular, firstly, the FWA has been comprehensively tested with two different technologies of Mono-Crystalline (SM55 &amp; SP70) and Multi-Crystalline (Kyocera200GT) PV modules. In addition, further statistical and error analysis for three different panels are exclusively carried out to validate the suitability of proposed methodology. The results of proposed algorithm are benchmarked with popular Genetic Algorithm and Particle Swarm Optimization (PSO) methods. Fitness convergence curves or FWA method for SM55, SP70 and Kyocera200GT produce very less objective function as 2.2498E−07, 2.85765E−08 and 4.0075E−08 respectively. This illustrates the wise and accurate validation of FWA method. Calculated curve-fit via FWA in agreement to datasheet curve strongly suggest the FWA can constitute the core of suitable optimization code for two diode PV parameter extraction. © 2016 Elsevier Ltd

Solar Energy

Parameter extraction of two diode solar PV model using Fireworks algorithm

A new method based on the concept of voltage band for efficient Distributed Maximum Power Point Tracking (DMPPT) of PV module is proposed. This novel formulation exhibits many advantages including faster convergence, improved tracking efficiency, zero steady state oscillations and simplicity in implementation. The paper unveils the possibility of utilizing a narrow voltage band for effective MPP tracking which has not been discussed so far in the literature. Extensive analysis is done and simulations are carried out in MATLAB/SIMULINK environment. To showcase the superiority of the proposed method, comparison is done with conventional methods for step change as well as gradual change in irradiation. © 2016 Elsevier Ltd.

Sustainable Energy Technologies and Assessments

Modeling, analysis and design of efficient maximum power extraction method for solar PV system

over a decade, the research interest in solar energy is considerably increased, since it is one of the most promising alternate for decaying fossil fuel. Among the research thrusts, the accurate modeling of solar I-V characteristics is given prior importance. In this article, the authors have proposed a new FPA based solar PV parameter extraction. To avoid computational burden and complexity, single diode modeling is preferred. Solar PV parameters are computed using FPA method. The computed root mean square error and relative error is compared with existing simulated annealing, Pattern search, Genetic algorithm and particle swam optimization techniques. © 2016 IEEE.

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