Article
Automation & Control Systems
Mostefa Kermadi, Zainal Salam, Jubaer Ahmed, El Madjid Berkouk
Summary: The article introduces a fast and efficient MPPT for PV systems under rapidly changing shading conditions, reducing search path length and minimizing the search area using intelligent mechanisms. Evaluation against other algorithms shows superior performance in terms of speed and reliability.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Pankaj Verma, Tarlochan Kaur, Raminder Kaur
Summary: The paper proposes a novel deloading-based power control strategy for a dc/dc converter, monitoring MPP using an artificial neural network and adjusting reserve using a fuzzy reserve controller. The suitability of this approach is justified by comparing it with mainstream reserve approaches. The effectiveness of the developed controls is validated through simulations and experimental results.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Green & Sustainable Science & Technology
Houssam Deboucha, Mostefa Kermadi, Saad Mekhilef, Sofia Lalouni Belaid
Summary: The efficiency of photovoltaic (PV) systems is highly dependent on continuously varying atmospheric conditions. To optimize the PV system efficiency under fast-changing environmental conditions, including partial shading, an efficient maximum power point tracking (MPPT) method is required. This paper proposes a different MPPT control structure that integrates the MPPT algorithm into the proportional-integral (PI) voltage controller routine, achieving high-speed MPPT and extreme dynamic tracking improvements.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Ildefonso Munoz, Adrian Guinda, Gregorio Olivares, Sara Diaz, Ana M. Gracia-Amillo, Luis Casajus
Summary: This article compares the performance of three solar tracking algorithms and the Astronomical algorithm in optimizing the photovoltaic (PV) installation. The study shows that the new algorithms can improve the in-plane irradiance and power output of PV systems under different climatic conditions.
Article
Thermodynamics
Injila Sajid, Adil Sarwar, Mohd Tariq, Farhad Ilahi Bakhsh, Shafiq Ahmad, Adamali Shah Noor Mohamed
Summary: During partial shading conditions, the efficiency of power transfer in a Photovoltaic system decreases significantly, leading to the formation of hotspots. To address this issue, using metaheuristic algorithms for Maximum Power Point Tracking (MPPT) can yield favorable results. This study introduces a novel MPPT approach based on the Archimedes Optimization Algorithm (AOA) and evaluates its performance against other state-of-the-art algorithms.
Article
Engineering, Electrical & Electronic
Xingshuo Li, Huiqing Wen, Yihua Hu, Yang Du, Yong Yang
Summary: This article evaluates three typical MPPT algorithms under dynamic test procedures, with the beta algorithm showing the highest tracking efficiency. The results demonstrate that the beta algorithm can significantly improve the performance of PV systems.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Energy & Fuels
Kelvin Tan, William J. Parquette, Meng Tao
Summary: This paper presents an improved PV system that tracks the maximum power point by varying the system load and dynamically estimating the optimum switch points using measured powers from unsuccessful switches. It offers an efficient and cost-effective solution for solar PV systems.
Article
Energy & Fuels
Ibrahem Hussein, Ozgur Celik, Ahmet Teke
Summary: As the penetration level of on-grid photovoltaic systems increases, the power quality of the utility grid becomes a crucial issue, and the recent studies have identified the maximum power point tracking (MPPT) algorithms as one source of interharmonics emission from PV inverters. This paper investigates the mechanism of interharmonics generation and proposes a new mitigation technique based on modifying the MPPT algorithm to effectively minimize the generated interharmonics. The proposed method reduces the interharmonic peaks in the output injected current to the grid by 27% compared to other conventional and modified MPPT algorithms.
Article
Engineering, Chemical
Khalil Ur Rehman, Injila Sajid, Shiue-Der Lu, Shafiq Ahmad, Hwa-Dong Liu, Farhad Ilahi Bakhsh, Mohd Tariq, Adil Sarwar, Chang-Hua Lin
Summary: This paper proposes a new technique for tracking the global maximum power point (GMPP) in partially shaded photovoltaic systems, based on the Ali Baba and the Forty Thieves (AFT) algorithm. Experimental and simulation results show that this method performs better than particle swarm optimization (PSO) under complex partial irradiance conditions.
Article
Computer Science, Information Systems
Preeti Verma, Afroz Alam, Adil Sarwar, Mohd Tariq, Hani Vahedi, Deeksha Gupta, Shafiq Ahmad, Adamali Shah Noor Mohamed
Summary: This article reviews the advancements in global maximum power point tracking (GMPPT) algorithms for solar photovoltaic systems under partial shading conditions. It discusses various MPPT strategies, their working principles, and mathematical representations as a reference for designing PV systems.
Article
Energy & Fuels
Jiahua Ni, Ji Xiang
Summary: The idea of perturbation and observation is widely used in PV power regulation strategies. This paper presents a concise PV control method based on spatial-domain dp/dv calculation, which avoids the trade-off problem in the conventional Perturb and Observe (P&O) algorithm. The proposed method achieves oscillation-free steady-state and fast dynamic tracking speed, and incorporates both MPPT and power reserved modes.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Energy & Fuels
Tanmay Shukla, Srete Nikolovski
Summary: This article presents a brushless DC motor drive using a solar photovoltaic (PV) array and grid. The drive system includes a boost DC-DC converter for maximum power point tracking, and a bridgeless asymmetrical converter to improve power quality at the supply mains. The bridgeless asymmetrical converter offers advantages such as rectifier removal and input filter elimination.
Article
Engineering, Chemical
Md Tahmid Hussain, Mohd Tariq, Adil Sarwar, Shabana Urooj, Amal BaQais, Md. Alamgir Hossain
Summary: This study introduces a novel metaheuristic algorithm for maximizing the power output of solar PV arrays under partial shading conditions. Experimental results demonstrate that this algorithm outperforms traditional algorithms in terms of rapid convergence and efficient maximum power point tracking, particularly in complex shading patterns.
Article
Engineering, Electrical & Electronic
Dong-Eun Kim, Hyun-Jae Lee, Hak-Ryong Moon, Jin-Geun Shon
Summary: This paper proposes a hybrid control method based on a differential power processing (DPP) structure for a maximum-efficiency photovoltaic (PV) system. The method can achieve control of the system without changing the structure, improving stability and reliability in working at the maximum power point.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2021)
Article
Automation & Control Systems
Deguang Xu, Hao Chen, Xing Wang, Vitor Pires, Joao Martins, Alecksey Anuchin, Xiaodong Li, Ryszard Palka, Jason Gu
Summary: Differential power processing (DPP) is a highly competitive architecture for photovoltaic (PV) applications due to its high energy efficiency and mitigation of mismatch issues. However, the complexity of coupling between DPP converters poses challenges in terms of maximum power point tracking (MPPT) in DPP-based PV systems. This article presents a method that makes the application of synchronous MPPT in DPP topology feasible based on a simple and easy partial decoupling method, improving the efficiency of MPPT and scalability of the system.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Leonardo Poltronieri Sampaio, Maykon Vichoski da Rocha, Sergio Augusto Oliveira da Silva, Marcelo Hideo Takami de Freitas
IET RENEWABLE POWER GENERATION
(2019)
Article
Engineering, Multidisciplinary
Emilio Tanowe Maddalena, Caio Guilherme da Silva Moraes, Guilherme Braganca, Luigi Galotto Junior, Ruben Barros Godoy, Joao Onofre Pereira Pinto
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2019)
Article
Engineering, Electrical & Electronic
Guilherme Masquetti Pelz, Sergio Augusto Oliveira da Silva, Leonardo Poltronieri Sampaio
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Guilherme Masquetti Pelz, Sergio Augusto Oliveira da Silva, Leonardo Poltronieri Sampaio
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Correction
Engineering, Electrical & Electronic
Guilherme Masquetti Pelz, Sergio Augusto Oliveira da Silva, Leonardo Poltronieri Sampaio
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Jose Carlos Ugaz Pena, Leonardo Poltronieri Sampaio, Moacyr Aureliano Gomes de Brito, Carlos Alberto Canesin
ELECTRICAL ENGINEERING
(2020)
Article
Green & Sustainable Science & Technology
Danilo Henrique Wollz, Sergio Augusto Oliveira da Silva, Leonardo Poltronieri Sampaio
Article
Green & Sustainable Science & Technology
Maykon Vichoski da Rocha, Leonardo Poltronieri Sampaio, Sergio Augusto Oliveira da Silva
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2020)
Article
Green & Sustainable Science & Technology
Rafaela Dizaro Silveira, Sergio A. Oliveira da Silva, Leonardo P. Sampaio, Leonardo B. G. Campanhol
Summary: This paper presents a comparative analysis of four multifunctional grid-tied photovoltaic (MPV) systems, discussing their functionalities, inverter configurations, and performance under different operating modes. Experimental results can be used to evaluate the dynamic performance, power quality, and ability to cope with photovoltaic array failures of these systems.
IET RENEWABLE POWER GENERATION
(2021)
Article
Engineering, Electrical & Electronic
Marco Aurelio Duarte Alves, Joao O. P. Pinto, Luigi Galotto, Marcio L. M. Kimpara, Raymundo Cordero Garcia, Ruben Barros Godoy, Hebert C. Goncalves Teixeira, Mario C. M. Campos
Summary: This paper introduces the use of a radial basis function artificial neural network to estimate sensor readings through auto-association. By modifying the training algorithm to ensure performance metrics are met, the proposed approach shows equivalent or superior estimation results to the AAKR model with shorter runtime.
IEEE SENSORS JOURNAL
(2021)
Article
Energy & Fuels
Larissa R. Souza, Ruben B. Godoy, Matheus A. de Souza, Luigi G. Junior, Moacyr A. G. de Brito
Summary: This study investigates the impact of sampling rate on electrical power measurements based on the Conservative Power Theory (CPT), revealing an error associated with reactive power being inversely proportional to the sampling rate. The findings suggest that depending on the sample rate, errors in reactive power measurements may be unacceptable, rendering the implementation of CPT unfeasible. The research also provides valuable insights on the minimal sampling rate required to mitigate these errors.
Article
Automation & Control Systems
Sebastian de Jesus Manrique Machado, Sergio Augusto Oliveira da Silva, Jose Roberto Boffino de Almeida Monteiro, Leonardo Poltronieri Sampaio, Azauri Albano de Oliveira
Summary: This article investigates the small-signal analysis of islanded ac microgrids with voltage-controlled converters and current-controlled converters. The current-controlled converters can deliver power from nondispatchable energy sources and perform active filtering function to improve microgrid power quality. The transient characteristics after a local non-linear load step are highly dependent on the operation mode of the current-controlled converters. A generic small-signal model is derived to study these effects and its accuracy is validated through simulations and experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Jose Carlos Ugaz Pena, Leonardo Poltronieri Sampaio, Moacyr Aureliano Gomes de Brito, Carlos Alberto Canesin
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS
(2020)
Proceedings Paper
Energy & Fuels
Leonardo Poltronieri Sampaio, Sergio Augusto Oliveira da Silva, Paulo Junior Silva Costa
2019 IEEE 15TH BRAZILIAN POWER ELECTRONICS CONFERENCE AND 5TH IEEE SOUTHERN POWER ELECTRONICS CONFERENCE (COBEP/SPEC)
(2019)
Proceedings Paper
Energy & Fuels
Augusto Hayashi, Moacyr Brito, Joao Onofre, Lourenco Matakas Junior, Raymundo Cordero, Luigi Galotto Junior
2019 IEEE 15TH BRAZILIAN POWER ELECTRONICS CONFERENCE AND 5TH IEEE SOUTHERN POWER ELECTRONICS CONFERENCE (COBEP/SPEC)
(2019)
