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
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)
Review
Thermodynamics
Sevda Rezazadeh, Arash Moradzadeh, Kazem Pourhossein, Mohammadreza Akrami, Behnam Mohammadi-Ivatloo, Amjad Anvari-Moghaddam
Summary: This paper introduces dynamic and static PV array reconfiguration methods and proposes a novel static-based technique called 8-Queen's for reconfiguring a specific type of PV array. The effectiveness of the 8-Queen's technique is demonstrated through experiments in different scenarios. Performance evaluation in real-world PV arrays also shows the feasibility of the proposed technique for maximum power point tracking under PSCs.
ENERGY CONVERSION AND MANAGEMENT
(2022)
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
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
Green & Sustainable Science & Technology
Muhammad Hamza Zafar, Noman Mujeeb Khan, Adeel Feroz Mirza, Majad Mansoor, Naureen Akhtar, Muhammad Usman Qadir, Nauman Ali Khan, Syed Kumayl Raza Moosavi
Summary: This paper proposes a novel search and rescue optimization algorithm-based MPPT control of PV systems to improve performance and address common drawbacks of traditional control techniques. Experimental results show that the proposed technique achieves higher power and energy output compared to other MPPT techniques, with higher power tracking efficiency in steady-state.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Multidisciplinary
Sadab Mahmud, William Collings, Ansel Barchowsky, Ahmad Y. Javaid, Raghav Khanna
Summary: This article proposes a two-level algorithm to track the global maximum power point in photovoltaic systems under partial shading conditions. The algorithm combines discretized global search and ripple correlation control technique, ensuring accurate and swift tracking of the global maximum power point.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Muhannad J. J. Alshareef
Summary: This paper introduces a new strategy based on the falcon optimization algorithm (FOA) to track the global maximum power point (GMPP) of a photovoltaic (PV) system under partial shading conditions (PSCs). The proposed FOA outperforms three other MPPT algorithms in terms of tracking performance and revenue generation. Simulation test results show that FOA achieves high MPPT efficiency and fast tracking time in various partial shading patterns.
Article
Green & Sustainable Science & Technology
Tarek A. Boghdady, Yasmin E. Kotb, Abdullah Aljumah, Mahmoud M. Sayed
Summary: This paper presents a comprehensive analysis of the impact of different shading patterns on PV arrays and proposes a solution to extract the maximum power point using optimization algorithms. The experiments show that the IGWO algorithm performs superiorly in maximum power tracking and disturbance rejection.
Article
Computer Science, Information Systems
Sanaz Jalali Zand, Saleh Mobayen, Hamza Zad Gul, Hossein Molashahi, Mojtaba Nasiri, Afef Fekih
Summary: The performance of a photovoltaic array is influenced by various factors. Conventional maximum power point tracking methods do not perform well in dynamic weather conditions, load changes, and partial shading. This research proposes an optimized Fuzzy Logic Controller based on the Cuckoo Optimization Algorithm for maximum power point tracking in all conditions.
Article
Engineering, Electrical & Electronic
Rambabu Motamarri, Nagu Bhookya
Summary: This article proposes a JAYA algorithm based on the Levy flight for improving power tracking efficiency in solar photovoltaic arrays under static and dynamic conditions. The performance of the algorithm is examined through MATLAB/SIMULINK and experiments with a designed prototype, showing superior results compared to conventional JAYA and particle swarm optimization algorithms.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Energy & Fuels
Ezhilmaran Ranganathan, Rajasekar Natarajan
Summary: A new bioinspired optimization algorithm, called Spotted-Hyena Optimizer (SHO), is proposed for maximum power-point tracking of partially shaded photovoltaic arrays. The algorithm is easy to implement and does not require additional parameter tuning. The results show that SHO achieves faster global convergence compared to traditional perturb-and-observe (P&O) and particle-swarm-optimization (PSO) methods.
Article
Engineering, Multidisciplinary
Cagri Batuhan Oguz, Emre Avci, Salih Baris Ozturk
Summary: This study evaluates the performance of a PV power plant, considering different connection types, partial shading conditions, and MPPT algorithms. The results show that the Total Cross Tied (TCT) connection type performs better than others under all shading conditions. Shading patterns have different effects on the system's losses and efficiency. It has been proven that simple algorithms can achieve the performance of complex algorithms when the connection type is properly adjusted. Overall, considering different combinations is crucial for enhancing PV system efficiency and reducing installation complexity.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2023)
Article
Engineering, Electrical & Electronic
Chian-Song Chiu, Sy Ngo
Summary: This paper introduces a multi-module solar energy system and a hybrid MPPT method to solve the problem of local maximum power points under partial shading conditions. Simulation and experiments have shown the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRONICS
(2023)
Article
Automation & Control Systems
Zhuoli Zhao, Mingyu Zhang, Zehan Zhang, Yuewu Wang, Runting Cheng, Juntao Guo, Ping Yang, Chun Sing Lai, Peng Li, Loi Lei Lai
Summary: This article proposes a maximum power point tracking (MPPT) method for photovoltaic systems under partial shading conditions (PSCs) based on the variant of the pigeon-inspired optimization (PIO) algorithm. The method integrates the hierarchical network behavior of pigeon flock and revises the algorithm's operators to improve optimization efficiency. It also uses a landmark operator for fast tracking. The proposed method shows superior performance in tracking GMPP and excellent performance in complex PSCs.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Nuclear Science & Technology
Sasa Kovacevic, Vivek Agarwal, John W. Buttles
Summary: This paper discusses the technology of wireless valve position indication sensor system and retrofitting existing manual valves with sensor mounting units using additive manufacturing techniques. The design and numerical modeling of SMUs for rising stem gate and rising handle globe valves are experimentally validated. Results show that SMUs printed with 5% continuous carbon fiber reinforced nylon performed significantly better in terms of stiffness-to-weight ratio and eigenfrequencies.
NUCLEAR TECHNOLOGY
(2022)
Article
Energy & Fuels
Bikash Poudel, Linyu Lin, Tyler Phillips, Shannon Eggers, Vivek Agarwal, Timothy McJunkin
Summary: This paper discusses an operational scheme based on distributed control of flexible power assets to enhance the operational resilience of SMR-DER integrated-energy microgrids, in response to the increasing prevalence of natural disasters and cyberattacks. A framework is proposed to assess the operational resilience of SMR-DER microgrids, and its effectiveness is validated through simulation experiments.
Article
Engineering, Multidisciplinary
Shashank Kurm, Vivek Agarwal
Summary: This article presents a novel multiport converter for PV-battery systems powering standalone loads. The proposed converter is based on a current fed dual active bridge topology, offering galvanic isolation and high voltage ratio. It reduces switching losses by using a modified modulation scheme.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Soumya Ranjan Mohapatra, Vivek Agarwal
Summary: Recent research has focused on keeping a three-phase inverter connected to the grid and supporting voltage at the point of common coupling (PCC) during grid faults. Increasing the amplitude of positive and negative sequence currents supplied to the grid can enhance the line-to-line PCC voltage. 4-leg inverters have the capability to supply zero-sequence current in addition to positive and negative sequence currents, but this extra control freedom is not fully utilized during low voltage ride through operation. This paper presents a novel method to optimize the amplitude and phase angle of the zero-sequence current, minimizing the peak current amplitude of the 4-leg inverter and allowing for more positive and negative sequence currents to be supplied to the grid.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Automation & Control Systems
Arpan Hota, Vivek Agarwal
Summary: This letter presents a new H10 inverter topology for two-level three-phase inverter applications, which can achieve constant or zero CMV and has superior harmonic performance and lower losses.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Multidisciplinary
Shashank Kurm, Vivek Agarwal
Summary: This article analyzes the zero voltage switching behavior and current stress of the current-fed dual active bridge converter under various operating conditions. An algorithm is proposed to determine the optimal control point for a given operating condition. Experimental results validate the theoretical analysis and the proposed algorithm.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Review
Nuclear Science & Technology
Meenu Sethu, Bhavya Kotla, Darrell Russell, Mahboubeh Madadi, Nesar Ahmed Titu, Jamie Baalis Coble, Ronald L. Boring, Klaus Blache, Vivek Agarwal, Vaibhav Yadav, Anahita Khojandi
Summary: Human factors and ergonomics have made a significant impact on the safety and performance of operators in the nuclear energy industry. This critical review explores how artificial intelligence (AI) can mitigate human errors and enhance operators' safety and performance in nuclear power plants (NPPs). The review discusses the introduction of AI in different operator support systems and identifies its limitations and challenges for future research directions.
NUCLEAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Shashank Kurm, Vivek Agarwal
Summary: This article proposes a new approach to connect hybrid energy storage systems with renewable energy sources and loads using a multi-port converter. The proposed method allows for the regulation of load voltage while tracking the maximum power point of the renewable energy sources and protecting the battery from transients caused by variations in load and renewable generation.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Engineering, Multidisciplinary
Arpan Hota, Vivek Agarwal
Summary: This article introduces an innovative SC precharging scheme that utilizes the winding inductance of the motor to obviate the need for additional circuitry. The precharging time can be controlled by manipulating the switching frequency, effectively achieving the precharging function.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Tarakanath Kobaku, Rajesh Poola, Vivek Agarwal
Summary: This article presents a novel method for synthesizing a robust PID controller for regulating a boost DC-DC converter with non-minimum phase dynamics and complex-conjugate poles. The proposed design method utilizes Quantitative Feedback Theory (QFT) and particle swarm optimization (PSO) to automatically shape the loop and account for worst-case scenarios due to parametric variations in the converter model.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Review
Energy & Fuels
Athanasios Ioannis Arvanitidis, Vivek Agarwal, Miltiadis Alamaniotis
Summary: Due to concerns over climate change and energy sustainability, there is a growing push for a transition to a modern energy sector that can reduce environmental impact while promoting social and economic growth. Sustainable energy solutions, including renewables and low-carbon sources like nuclear energy and natural gas, have the potential to minimize greenhouse gas emissions, improve air and water quality, and foster energy independence. However, there are numerous challenges to achieving a sustainable energy industry, such as governmental and regulatory obstacles, technological and economic limitations, and societal acceptability concerns.
Article
Automation & Control Systems
Shamim Hasan, Vivek Agarwal
Summary: In the event of grid faults, the disconnection of large capacity distributed generation (DG) may compromise grid stability. To address this, a voltage support scheme (VSS) is proposed to minimize the highest phase current while maintaining the same voltage support at the point of common coupling (PCC), providing reserve voltage support capability.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Rahul Mishra, Vivek Agarwal
Summary: This article introduces an improved series chain link (SCL) converter that can form a high-voltage direct current link in offshore wind farms. By integrating bipolar voltage generator submodule into the SCL converter, the negative arm voltage generation capability is realized, which improves the capacitor voltage ripple, current rating switches, and transformer requirements. With a modified switching function, the negative arm voltage is utilized to boost the AC voltage and improve the voltage ripple distribution. The developed harmonic state-space (HSS) models accurately predict the resonance peak and frequency, as well as the presence of third harmonic circulating current in the DC link, which enables the proposed solution to reduce the switch current rating by up to 30%. Simulation and experimental results are provided to validate the theoretical claims.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
James A. Smith, Vivek Agarwal
Summary: This article presents a methodology for processing acoustic signals using recursive short-time fast Fourier transform (STFFT) in a nuclear reactor environment. The methodology generates diverse and complementary signatures from pump vibration data, which can be used as inputs for predictive data analytics using machine learning algorithms. The intuitive nature of the information and signatures obtained from recursive STFFT processing can enhance the interpretation capabilities of machine learning and predictive data analytic techniques.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Koushik A. Manjunatha, Vivek Agarwal, Andrea L. Mack, David Koester, Douglas E. Adams
Summary: This paper presents a condition-based maintenance approach to detect corrosion in secondary piping structures of nuclear power plants using distributional features extracted from accelerometer signals. Machine learning algorithms are utilized for prediction, achieving high accuracy rates. The method provides an effective solution for managing aging issues in passive structures of nuclear power plants.
