Derick Mathew

Dr. Derick Mathew

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2017 in Solar Energy
Verified
Journal Article
Closed access
DMDerick Mathew
Derick Mathew
CRC. Rani
C. Rani
Rajesh Kumar MRajesh Kumar M
Rajesh Kumar M
Mohamed Emad FarragMohamed Emad Farrag
Mohamed Emad Farrag
YWY. Wang
Y. Wang
KBK. Busawon
K. Busawon

7 December 2017 in IEEE Journal of Photovoltaics
Verified
Journal Article
Closed access
DMDerick Mathew
Derick Mathew
RNRani Chinnappa Naidu
Rani Chinnappa Naidu
Rajesh Kumar MRajesh Kumar M
Rajesh Kumar M
YWYue Wang
Yue Wang
RBRichard Binns
Richard Binns
KBKrishna Busawon
Krishna Busawon
In order to increase the efficiency of the solar photovoltaic (PV) system, accurate electrical modeling of the system under different environmental conditions is necessary. The double-diode electrical model of solar PV is known to be more accurate than its single diode model counterpart since it takes into account the effect of recombination. However, because of its nonlinear characteristics, the parameters of the double-diode model (DDM) have to be identified using optimization algorithms. In this paper, the wind-driven optimization (WDO) algorithm is proposed as a potential new method for identifying the parameters of a 12-parameter DDM of the solar PV. The accuracy and flexibility of the proposed method are verified using three different sets of data: first, experimental data at the controlled environmental condition; second, data sheet values of different solar PV modules; and third, real-time experimental data at the uncontrolled environmental condition. Additionally, the performance of the WDO is compared with other well-known existing optimization techniques. The obtained results show that the WDO algorithm can provide optimized values with reduced mean absolute error in power and reduced root mean square error for different types of solar PV modules at different environmental conditions. We show that the WDO can be confidently recommended as a reliable optimization algorithm for parameter estimation of solar PV model.


28 November 2019 in Advances in Intelligent Systems and Computing
Verified
Book Chapter
Closed access
PDF file
VCVankayalapati Govinda Chowdary
Vankayalapati Govinda Chowdary
VSV. Udhay Sankar
V. Udhay Sankar
DMDerick Mathew
Derick Mathew
CBCh Hussaian Basha
Ch Hussaian Basha
CRC. Rani
C. Rani

1 June 2020 in IET Power Electronics
Verified
Journal Article
Open access
PDF file
DMDerick Mathew
Derick Mathew
RNRani Chinnappa Naidu
Rani Chinnappa Naidu
The conventional microinverters with transformers and multiple‐stage system increases the cost, weight and size, lowering the effectiveness and power density of PV system. It is therefore desirable to prevent using these methods for a microinverter. However, extra care must be taken to prevent component stress, excess switching and conduction losses, ground leakage currents and harmonics. Several transformerless buck–boost inverters have lately been suggested to address various issues. Due to the availability of a number of buck–boost inverter‐topology for the solar PV system, it is often difficult to identify when to choose the appropriate topology. Therefore, in order to present a clear view of the advancement of transformerless buck–boost inverters for next‐generation grid‐integrated PV systems, this article seeks to explore multiple buck–boost topologies with an extensive analytical comparison. Computer simulations for the 70 W system have been conducted in PLECS software to strengthen the results and comparisons, as well as to provide more insight into the features of the distinct topologies for the building‐integrated photovoltaic implementation. At the later part, voltage and current stress in each component, efficiency and total harmonic distortion of the system are provided with a general summary, as well as, a technology roadmap.

28 November 2019
Verified
Book Chapter
Closed access
PDF file
VSV. Udhay Sankar
V. Udhay Sankar
BHBhanutej
Bhanutej
CBC. H. Hussaian Basha
C. H. Hussaian Basha
DMDerick Mathew
Derick Mathew
CRC. Rani
C. Rani
KBK. Busawon
K. Busawon