TY - GEN
T1 - Flower pollination based solar PV parameter extraction for double diode model
AU - Prasanth Ram, J.
AU - Pillai, Dhanup S.
AU - Rajasekar, N.
AU - Kumar Chinnaiyan, V.
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd 2020.
PY - 2020
Y1 - 2020
N2 - Due to the environmental threat toward pollution and continuous depletion in fossil fuels, the world has found its alternate source of energy generation through pollution-free solar energy. Due to the scope in solar PV systems, the research interest has considerably increased. In solar PV 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 appreciate the accuracy in the computation, two diode models are preferred. The authors have used RTC France data to experiment with the effectiveness of FPA. Further, the computed root mean square error and relative error for the designed model is compared with the existing Simulated Annealing (SA), Pattern Search (PS), Harmony Search (HS), and Artificial Bee Swarm Optimization (ABSO) techniques.
AB - Due to the environmental threat toward pollution and continuous depletion in fossil fuels, the world has found its alternate source of energy generation through pollution-free solar energy. Due to the scope in solar PV systems, the research interest has considerably increased. In solar PV 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 appreciate the accuracy in the computation, two diode models are preferred. The authors have used RTC France data to experiment with the effectiveness of FPA. Further, the computed root mean square error and relative error for the designed model is compared with the existing Simulated Annealing (SA), Pattern Search (PS), Harmony Search (HS), and Artificial Bee Swarm Optimization (ABSO) techniques.
KW - Artificial bee swarm optimization
KW - Flower pollination algorithm
KW - Harmony search
KW - Pattern search
KW - Photovoltaic
UR - http://www.scopus.com/inward/record.url?scp=85077504491&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-0214-9_34
DO - 10.1007/978-981-15-0214-9_34
M3 - Conference contribution
AN - SCOPUS:85077504491
SN - 9789811502132
T3 - Lecture Notes in Electrical Engineering
SP - 303
EP - 312
BT - Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018
A2 - Kalam, Akhtar
A2 - Niazi, Khaleequr Rehman
A2 - Soni, Amit
A2 - Siddiqui, Shahbaz Ahmed
A2 - Mundra, Ankit
PB - Springer
T2 - 1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018
Y2 - 22 December 2018 through 23 December 2018
ER -