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Power quality (PQ) has become an important topic in today’s power system scenario. PQ issues are raised not only in normal three-phase systems but also with the incorporation of different distributed generations (DGs), including renewable energy sources, storage systems, and other systems like diesel generators, fuel cells, etc. The prevalence of these issues comes from the non-linear features and rapid changing of power electronics devices, such as switch-mode converters for adjustable speed drives and diode or thyristor rectifiers. The wide use of these fast switching devices in the utility system leads to an increase in disturbances associated with harmonics and reactive power. The occurrence of PQ disturbances in turn creates several unwanted effects on the utility system. Therefore, many researchers are working on the enhancement of PQ using different custom power devices (CPDs). In this work, the authors highlight the significance of the PQ in the utility network, its effect, and its solution, using different CPDs, such as passive, active, and hybrid filters. Further, the authors point out several compensation strategies, including reference signal generation and gating signal strategies. In addition, this paper also presents the role of the active power filter (APF) in different DG systems. Some technical and economic considerations and future developments are also discussed in this literature. For easy reference, a volume of journals of more than 140 publications on this particular subject is reported. The effectiveness of this research work will boost researchers’ ability to select proper control methodology and compensation strategy for various applications of APFs for improving PQ.
Soumya Das; Prakash Ray; Arun Sahoo; Somula Ramasubbareddy; Thanikanti Babu; Nallapaneni Kumar; Rajvikram Elavarasan; Lucian Mihet-Popa. A Comprehensive Survey on Different Control Strategies and Applications of Active Power Filters for Power Quality Improvement. Energies 2021, 14, 4589 .
AMA StyleSoumya Das, Prakash Ray, Arun Sahoo, Somula Ramasubbareddy, Thanikanti Babu, Nallapaneni Kumar, Rajvikram Elavarasan, Lucian Mihet-Popa. A Comprehensive Survey on Different Control Strategies and Applications of Active Power Filters for Power Quality Improvement. Energies. 2021; 14 (15):4589.
Chicago/Turabian StyleSoumya Das; Prakash Ray; Arun Sahoo; Somula Ramasubbareddy; Thanikanti Babu; Nallapaneni Kumar; Rajvikram Elavarasan; Lucian Mihet-Popa. 2021. "A Comprehensive Survey on Different Control Strategies and Applications of Active Power Filters for Power Quality Improvement." Energies 14, no. 15: 4589.
The process of constructing a reliable mathematical model of solid oxide fuel cell (SOFC) is a challenge due to its complex nature. This paper proposes a new methodology incorporated a recent meta-heuristic algorithm named parasitism-predation algorithm (PPA) to estimate the optimal parameters of SOFC equivalent circuit. Two experiments are conducted in this work; the first one comprises four measured datasets for a commercial enhanced cylindrical SOFC manufactured by Siemen Energy. While the second series consists of five measured datasets for a theoretical dynamic SOFC stack with 96 connected cells. The collected datasets are measured at different operating conditions. An excessive comparative study is presented with other optimizers of comprehensive learning particle swarm optimization (CLPSO), improved PSO with difference mean with perturbation (DMP_PSO), heterogeneous CLPSO (HCLPSO), locally informed PSO (LIPS), modified CSO with tri-competitive mechanism (MCSO), opposition-based learning competitive PSO (OBLCPSO), ranking-based biased learning swarm optimizer (RBLSO), competitive swarm optimizer (CSO), hybrid Jaya with DE (JayaDE), and social learning PSO (SLPSO). Furthermore, statistical analyses of the ranking tests, multiple sign tests, Friedman tests, and ANOVA are performed. The obtained results confirmed the proposed PPA's competence in constructing a reliable model of SOFC as it provides the least mean square error (MSE) between the measured and estimated characteristics of 2.164e−6 in the first series of experiments at 1073 K, in contrast, the most peer (CLPSO) provides 5.57e−6. Similarly, in the second series of experiments, PPA achieves lease MSE of 7.17e−2 at 973 K; meanwhile, the most peer (CLPSO) attains 5.44e−1.
Dalia Yousri; Ahmed Fathy; Thanikanti Sudhakar Babu; Mohamed R. Berber. Estimating the optimal parameters of solid oxide fuel cell‐based circuit using parasitism‐predation algorithm. International Journal of Energy Research 2021, 1 .
AMA StyleDalia Yousri, Ahmed Fathy, Thanikanti Sudhakar Babu, Mohamed R. Berber. Estimating the optimal parameters of solid oxide fuel cell‐based circuit using parasitism‐predation algorithm. International Journal of Energy Research. 2021; ():1.
Chicago/Turabian StyleDalia Yousri; Ahmed Fathy; Thanikanti Sudhakar Babu; Mohamed R. Berber. 2021. "Estimating the optimal parameters of solid oxide fuel cell‐based circuit using parasitism‐predation algorithm." International Journal of Energy Research , no. : 1.
In this paper, a novel voltage equalization technique based on the hybridization of total cross-tied configuration and switching capacitor concept for enhancing the power generation of PV arrays during partial shading is proposed. The technique uses the charge balancing concept to maintain the voltage ratio between the total cross-tied array modules and ensures higher power output and convex power curves during partial shading. The validation of the proposed system is carried out in the MATLAB environment for three different size PV arrays under partial shading and compared with the conventional and two reconfiguration techniques in terms of power generation, losses, and conversion efficiency. Also, the insertion losses encountered by the proposed system are derived mathematically. The study concludes that the proposed system tends to generate higher power than any other techniques during shading with conversion efficiency of more than 97%.
Priya Ranjan Satpathy; Sudhakar Babu Thanikanti; Ali Housein Mahmoud; Renu Sharma; Benedetto Nastasi. A TCT-SC Hybridized Voltage Equalizer for Partial Shading Mitigation in PV Arrays. IEEE Transactions on Sustainable Energy 2021, PP, 1 -1.
AMA StylePriya Ranjan Satpathy, Sudhakar Babu Thanikanti, Ali Housein Mahmoud, Renu Sharma, Benedetto Nastasi. A TCT-SC Hybridized Voltage Equalizer for Partial Shading Mitigation in PV Arrays. IEEE Transactions on Sustainable Energy. 2021; PP (99):1-1.
Chicago/Turabian StylePriya Ranjan Satpathy; Sudhakar Babu Thanikanti; Ali Housein Mahmoud; Renu Sharma; Benedetto Nastasi. 2021. "A TCT-SC Hybridized Voltage Equalizer for Partial Shading Mitigation in PV Arrays." IEEE Transactions on Sustainable Energy PP, no. 99: 1-1.
Smart grid (SG) introduced proven power system, based on modernized power delivery system with introduction of advanced data-information and communication technologies (ICT). SGs include improved quality of power transmission/distribution from power generation to end-users with optimized power flow and efficiency. In addition to above modern automation, two-way communications, advanced monitoring, and control to optimize power quality issues are the classic features of SGs. This ensures the efficiency and reliability of all its interconnected power system elements against potential threats and life time cycle. By integrating ICT into the power system SGs improved the working capabilities of the utility companies. Resultant of ICT with SG leads to better management of assets and ensure energy management for end users. This review article presents the different areas of communication and information technology areas involved in SG automation.
Vikram Kulkarni; Sarat Kumar Sahoo; Sudhakar Babu Thanikanti; Srikanth Velpula; Dharmesh Ishwerlal Rathod. Power systems automation, communication, and information technologies for smart grid: A technical aspects review. TELKOMNIKA (Telecommunication Computing Electronics and Control) 2021, 19, 1017 -1029.
AMA StyleVikram Kulkarni, Sarat Kumar Sahoo, Sudhakar Babu Thanikanti, Srikanth Velpula, Dharmesh Ishwerlal Rathod. Power systems automation, communication, and information technologies for smart grid: A technical aspects review. TELKOMNIKA (Telecommunication Computing Electronics and Control). 2021; 19 (3):1017-1029.
Chicago/Turabian StyleVikram Kulkarni; Sarat Kumar Sahoo; Sudhakar Babu Thanikanti; Srikanth Velpula; Dharmesh Ishwerlal Rathod. 2021. "Power systems automation, communication, and information technologies for smart grid: A technical aspects review." TELKOMNIKA (Telecommunication Computing Electronics and Control) 19, no. 3: 1017-1029.
Low power distribution systems have severe power quality issues due to the non-linearity of several residential and industrial loads. The main power quality issue is the harmonics leading to the overheating of the transformers in the distribution systems. By employing passive filters, active filters, and custom power devices, the harmonics in the source current can be reduced. To overcome the drawbacks of conventional tuned filters and active power filters the modified shunt active power filter was introduced with the fuzzy logic controller. In this paper, an effective way of reducing the total harmonic distortion using three-phase three-wire shunt active filter is carried out and this has been investigated through three control methods namely synchronous reference frame theory, real and reactive power theory, and indirect reference current theory. The recognized control methods are implemented with the fuzzy controller to improve the performance of the induction motor drive. The hardware setup was implemented for the proposed fuzzy-based control technique to achieve better performance in terms of reduced total harmonic distortion and DC link voltage and improved speed performance of induction motor drive when compared to other control methods. Further power factor correction and better reactive power compensation are achieved by implementing hardware.
T. M. Thamizh Thentral; K. Vijayakumar; S. Usha; R. Palanisamy; Thanikanti Sudhakar Babu; Hassan Haes Alhelou; Amer Al-Hinai. Development of Control Techniques Using Modified Fuzzy Based SAPF for Power Quality Enhancement. IEEE Access 2021, 9, 68396 -68413.
AMA StyleT. M. Thamizh Thentral, K. Vijayakumar, S. Usha, R. Palanisamy, Thanikanti Sudhakar Babu, Hassan Haes Alhelou, Amer Al-Hinai. Development of Control Techniques Using Modified Fuzzy Based SAPF for Power Quality Enhancement. IEEE Access. 2021; 9 ():68396-68413.
Chicago/Turabian StyleT. M. Thamizh Thentral; K. Vijayakumar; S. Usha; R. Palanisamy; Thanikanti Sudhakar Babu; Hassan Haes Alhelou; Amer Al-Hinai. 2021. "Development of Control Techniques Using Modified Fuzzy Based SAPF for Power Quality Enhancement." IEEE Access 9, no. : 68396-68413.
Solar Photovoltaic array may often be subjected to partial shading, which may lead to uneven row current and creates local maximum power point on the power-voltage characteristics. One of the effective approaches to dilute the concentration of partial shading is the array reconfiguration technique. This study proposes a ken-ken puzzle-based reconfiguration technique for
Murugesan Palpandian; David Prince Winston; Balachandran Praveen Kumar; Cherukuri Santhan Kumar; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. A New Ken-Ken Puzzle Pattern Based Reconfiguration Technique for Maximum Power Extraction in Partial Shaded Solar PV Array. IEEE Access 2021, 9, 65824 -65837.
AMA StyleMurugesan Palpandian, David Prince Winston, Balachandran Praveen Kumar, Cherukuri Santhan Kumar, Thanikanti Sudhakar Babu, Hassan Haes Alhelou. A New Ken-Ken Puzzle Pattern Based Reconfiguration Technique for Maximum Power Extraction in Partial Shaded Solar PV Array. IEEE Access. 2021; 9 ():65824-65837.
Chicago/Turabian StyleMurugesan Palpandian; David Prince Winston; Balachandran Praveen Kumar; Cherukuri Santhan Kumar; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. 2021. "A New Ken-Ken Puzzle Pattern Based Reconfiguration Technique for Maximum Power Extraction in Partial Shaded Solar PV Array." IEEE Access 9, no. : 65824-65837.
This proposed work demonstrates the illustration of dynamic performance intensification of a Permanent Magnet Synchronous Motor (PMSM) employed by a PWM controlled inverter which synchronizes with the rotor movement intimation. PMSM are widely hired in electric vehicles since it possesses better dynamic response, improved torque-speed property, and reduced noise, energy-efficient and power factor in comparison with traditional motors. In the present work, it is observed that by few modifications of the position control strategy as good as sinusoidal stator currents response generates less torque ripples. The mathematical model for PMSM is derived from park’s transformation. Further, a maiden attempt is taken to introduce the performance indicator ’sensor angle’ to estimate the rotor position in this strategy. From the established model, the various dynamic behavior of the drive system is determined analytically without and under various load disturbances. Additionally, a particle swarm optimization (PSO) technique is adopted to optimize the performance of the proposed dynamic strategy. An efficient speed control strategy by the variation of DC bus voltage is achieved which is equivalent to the armature voltage control of the conventional dc machine. Further, efficient and simple control circuitry of the voltage source inverter (VSI) is obtained in this strategy. To verify the efficacy of the proposed algorithm, necessary tests are carried out in a real-time setup. Therefore, an improved control strategy obtained from the simulation and an experimental approach meets the dynamic behavior employed in light weight electric vehicles.
Chiranjit Sain; Pabitra Kumar Biswas; Priya Ranjan Satpathy; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. Self-Controlled PMSM Drive Employed in Light Electric Vehicle-Dynamic Strategy and Performance Optimization. IEEE Access 2021, 9, 1 -1.
AMA StyleChiranjit Sain, Pabitra Kumar Biswas, Priya Ranjan Satpathy, Thanikanti Sudhakar Babu, Hassan Haes Alhelou. Self-Controlled PMSM Drive Employed in Light Electric Vehicle-Dynamic Strategy and Performance Optimization. IEEE Access. 2021; 9 ():1-1.
Chicago/Turabian StyleChiranjit Sain; Pabitra Kumar Biswas; Priya Ranjan Satpathy; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. 2021. "Self-Controlled PMSM Drive Employed in Light Electric Vehicle-Dynamic Strategy and Performance Optimization." IEEE Access 9, no. : 1-1.
Selection of a suitable power electronic converter to meet the desired outcome for any sort of application is a major step. In the case of solar photovoltaic (PV) systems, the right selection of a converter has a significant impact on its efficiency. Over the past few decades, scholars have carried out a great deal of analysis to satisfy load specifications. The electronic power converters produced vary from several milliwatts to megawatts of power depending on requirements. A thorough analysis of these topologies is addressed considering the essential role of converter topologies in standalone and grid-based solar systems in improving efficiency of output power. In this paper, the authors examined control strategies of the converters, designs considered for the development of maximum power under various irradiation conditions, comparative study of various converter and inverter topologies. The comparative study presented should serve as a reference for choosing the precise power converter for a given set of PV system requirements.
Sudhakar Babu Thanikanti; Dalia Yousri; Dalia Allam; M. B. Etebia; Karthik Balasubramanian. Converter/Inverter Topologies for Standalone and Grid-Connected PV Systems. Energy Systems in Electrical Engineering 2021, 35 -80.
AMA StyleSudhakar Babu Thanikanti, Dalia Yousri, Dalia Allam, M. B. Etebia, Karthik Balasubramanian. Converter/Inverter Topologies for Standalone and Grid-Connected PV Systems. Energy Systems in Electrical Engineering. 2021; ():35-80.
Chicago/Turabian StyleSudhakar Babu Thanikanti; Dalia Yousri; Dalia Allam; M. B. Etebia; Karthik Balasubramanian. 2021. "Converter/Inverter Topologies for Standalone and Grid-Connected PV Systems." Energy Systems in Electrical Engineering , no. : 35-80.
Providing an accurate and precise photovoltaic model is a vital stage prior to the system design, therefore, this paper proposes a novel algorithm, enhanced marine predators algorithm (EMPA), to identify the unknown parameters for different photovoltaic (PV) models including the static PV models (single-diode and double-diode) and dynamic PV model. In the proposed EMPA, the differential evolution operator (DE) is incorporated into the original marine predators algorithm (MPA) to achieve stable, and reliable performance while handling that nonlinear optimization problem of PV modeling. Three different real datasets are used to show the effectiveness of the proposed algorithm. In the first case study, the proposed algorithm is used to identify the unknown parameters of a single-diode and double-diode PV models. The root-mean-square error (RMSE) and standard deviation (STD) values for a single-diode are 7.7301e-04 and 5.9135e-07. Similarly for double diode are 7.4396e-04 and 3.1849e-05, respectively. In addition, the second case study is used to test the proposed model in identifying the unknown parameters of a double-diode PV model. Here, the proposed algorithm is compared with classical MPA in five scenarios at different operating conditions. In this case study, the RMSE and STD of the proposed algorithm are less than that obtained by the MPA algorithm. Moreover, the third case study is utilized to test the ability of the proposed model in identifying the parameters of a dynamic PV model. In this case study, the performance of the proposed algorithm is compared with the one obtained by MAP and heterogeneous comprehensive learning particle swarm optimization (HCLPSO) algorithms in terms of RMSE ± STD. The obtained value of RMSE ± STD by the proposed algorithm is 0.0084505±1.0971e-17, which is too small compared with that obtained by MPA and HCLPSO algorithms (0.0084505±9.6235e-14 and 0.0084505±2.5235e-9). The results show the proposed model’s superiority over the MPA and other recent proposed algorithms in data fitting, convergence rate, stability, and consistency. Therefore, the proposed algorithm can be considered as a fast, feasible, and a reliable optimization algorithm to identify the unknown parameters in static and dynamic PV models. The code of the dynamic PV models is available via this link: https://github.com/DAyousri/Identifying-the-parameters-of-the-integer-and-fractional-order-dynamic-PV-models?_ga=2.104793926.732834951.1616028563-1268395487.1616028563.
Mohamed Abd Elaziz; Sudhakar Babu Thanikanti; Ibrahim Anwar Ibrahim; Songfeng Lu; Benedetto Nastasi; Majed A. Alotaibi; Alamgir Hossain; Dalia Yousri. Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters. Energy Conversion and Management 2021, 236, 113971 .
AMA StyleMohamed Abd Elaziz, Sudhakar Babu Thanikanti, Ibrahim Anwar Ibrahim, Songfeng Lu, Benedetto Nastasi, Majed A. Alotaibi, Alamgir Hossain, Dalia Yousri. Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters. Energy Conversion and Management. 2021; 236 ():113971.
Chicago/Turabian StyleMohamed Abd Elaziz; Sudhakar Babu Thanikanti; Ibrahim Anwar Ibrahim; Songfeng Lu; Benedetto Nastasi; Majed A. Alotaibi; Alamgir Hossain; Dalia Yousri. 2021. "Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters." Energy Conversion and Management 236, no. : 113971.
This studyaimed at improving the performance and efficiency of conventional static photovoltaic (PV) systems by introducing a metaheuristic algorithm-based approach that involves reconfiguring electrical wiring using switches under different shading profiles. Themetaheuristicalgorithmused wasthe firefly algorithm (FA), which controls the switching patterns under non-homogenous shading profiles and tracks the highest global peak of power produced by the numerous switching patterns. This study aimed to solve the current problems faced by static PV systems, such as unequal dispersion of shading affecting solar panels, multiple peaks, and hot spot phenomena, which can contribute to significant power loss and efficiency reduction. The experimental setup focusedon software development and the system or model developed in the MATLAB Simulink platform. Athorough and comprehensive analysis was done by comparing the proposed method’s overall performance and power generation with thenovel static PVseries–parallel (SP) topology and totalcross-tied (TCT) scheme. The SP configuration is widely used in the PV industry. However, the TCT configuration has superior performance and energy yield generation compared to other static PV configurations, such as the bridge-linked (BL) and honey comb (HC) configurations. The results presented in this paper provide valuable information about the proposed method’s features with regard toenhancing the overall performance and efficiency of PV arrays.
Mohammad Nazeri; Mohammad Tajuddin; Thanikanti Babu; Azralmukmin Azmi; Maria Malvoni; Nallapaneni Kumar. Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions. Sustainability 2021, 13, 3206 .
AMA StyleMohammad Nazeri, Mohammad Tajuddin, Thanikanti Babu, Azralmukmin Azmi, Maria Malvoni, Nallapaneni Kumar. Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions. Sustainability. 2021; 13 (6):3206.
Chicago/Turabian StyleMohammad Nazeri; Mohammad Tajuddin; Thanikanti Babu; Azralmukmin Azmi; Maria Malvoni; Nallapaneni Kumar. 2021. "Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions." Sustainability 13, no. 6: 3206.
An effective harmony between the exploration and exploitation phases in meta-heuristics is an essential design consideration to provide reliable performance on a wide range of optimization problems. This paper proposes a novel approach to enhance the exploratory behavior of the Harris hawks optimizer (HHO) based on the fractional calculus (FOC) memory concept. In the proposed variant of the HHO, a hawk moves with a fractional-order velocity, and the rabbit escaping energy is adaptively tuned based on FOC parameters to avoid premature convergence. As a result, the fractional-order modified Harris hawks optimizer (FMHHO) is proposed. The sensitivity of the algorithm performance vis-a-vis the FOC parameters is addressed, and the best variant is recommended based on twenty-three benchmarks. For validating the quality of the proposed variant, twenty-eight benchmarks of CEC2017 are tested. For evaluating the proposed variant against the other present-day techniques, several statistical measures and non-parametric tests are performed. Moreover, to demonstrate the applicability of the proposed technique, the proton exchange membrane fuel cell (PEMFC) model parameters estimation process is handled based on several measured datasets. In this series of experiments, the FMHHO variant is compared with the standard HHO and the other techniques based on intensive statistical metrics, mean convergence curves, and dataset fitting. The overall outcome shows that the FOC memory property improves the performance of the classical HHO and leads to accurate and robust solutions fitting the measured data.
Dalia Yousri; SeyedAli Mirjalili; J.A. Tenreiro Machado; Sudhakar Babu Thanikanti; Osama Elbaksawi; Ahmed Fathy. Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling. Engineering Applications of Artificial Intelligence 2021, 100, 104193 .
AMA StyleDalia Yousri, SeyedAli Mirjalili, J.A. Tenreiro Machado, Sudhakar Babu Thanikanti, Osama Elbaksawi, Ahmed Fathy. Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling. Engineering Applications of Artificial Intelligence. 2021; 100 ():104193.
Chicago/Turabian StyleDalia Yousri; SeyedAli Mirjalili; J.A. Tenreiro Machado; Sudhakar Babu Thanikanti; Osama Elbaksawi; Ahmed Fathy. 2021. "Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling." Engineering Applications of Artificial Intelligence 100, no. : 104193.
This study proposes a duty cycle-based direct search method that capitalizes on a bioinspired optimization algorithm known as the salp swarm algorithm (SSA). The goal is to improve the tracking capability of the maximum power point (MPP) controller for optimum power extraction from a photovoltaic system under dynamic environmental conditions. The performance of the proposed SSA is tested under a transition between uniform irradiances and a transition between partial shading (PS) conditions with a focus on convergence speed, fast and accurate tracking, reduce high initial exploration oscillation, and low steady-state oscillation at MPP. Simulation results demonstrate the superiority of the proposed SSA algorithm in terms of tracking performance. The performance of the SSA method is better than the conventional (hill-climbing) and among other popular metaheuristic methods. Further validation of the SSA performance is conducted via experimental studies involving a DC-DC buck-boost converter driven by TMS320F28335 DSP on the Texas Instruments Experimenter Kit platform. Hardware results show that the proposed SSA method aligns with the simulation in terms of fast-tracking, convergence speed, and satisfactory accuracy under PS and dynamic conditions. The proposed SSA method tracks maximum power with high efficiency through its superficial structures and concepts, as well as its easy implementation. Moreover, the SSA maintains a steady-state oscillation at a minimum level to improve the overall energy yield. It thus compensates for the shortcomings of other existing methods.
Mohd Nasrul Izzani Jamaludin; Mohammad Faridun Naim Tajuddin; Jubaer Ahmed; Azralmukmin Azmi; Syahrul Ashikin Azmi; Nur Hafizah Ghazali; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. An Effective Salp Swarm Based MPPT for Photovoltaic Systems Under Dynamic and Partial Shading Conditions. IEEE Access 2021, 9, 34570 -34589.
AMA StyleMohd Nasrul Izzani Jamaludin, Mohammad Faridun Naim Tajuddin, Jubaer Ahmed, Azralmukmin Azmi, Syahrul Ashikin Azmi, Nur Hafizah Ghazali, Thanikanti Sudhakar Babu, Hassan Haes Alhelou. An Effective Salp Swarm Based MPPT for Photovoltaic Systems Under Dynamic and Partial Shading Conditions. IEEE Access. 2021; 9 ():34570-34589.
Chicago/Turabian StyleMohd Nasrul Izzani Jamaludin; Mohammad Faridun Naim Tajuddin; Jubaer Ahmed; Azralmukmin Azmi; Syahrul Ashikin Azmi; Nur Hafizah Ghazali; Thanikanti Sudhakar Babu; Hassan Haes Alhelou. 2021. "An Effective Salp Swarm Based MPPT for Photovoltaic Systems Under Dynamic and Partial Shading Conditions." IEEE Access 9, no. : 34570-34589.
Mobile ad-hoc network is an assortment of distinct attribute-based mobile devices that are autonomous and are cooperative in establishing communication. These nodes exploit wireless links for communication that causes injection of the adversaries in the network. Therefore, detection and mitigation of adversaries and anomalies in the network are mandatory to retain its performance. To strengthen this concept, in this article, a novel secure neighbor selection technique using recurrent reward-based learning is introduced. This proposed technique inherits the benefits of conventional routing and intelligent machine learning paradigm for classifying the states of the nodes based on their communication behavior. Thorough learning of the behavior of the nodes unanimously at all the hop-levels of communication enables establishing secure and consistent routing and transmission paths to the destination. The performance of the proposed technique is estimated using the metrics throughput, packet delivery ratio, and delay and detection ratio. Experimental analysis proves the consistency of the proposed technique by improving throughput, packet delivery ratio, and detection ratio under less delay.
K. Sakthidasan Sankaran; N. Vasudevan; K. R. Devabalaji; Thanikanti Sudhakar Babu; Hassan Haes Alhelou; T. Yuvaraj. A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks. IEEE Access 2021, 9, 21735 -21745.
AMA StyleK. Sakthidasan Sankaran, N. Vasudevan, K. R. Devabalaji, Thanikanti Sudhakar Babu, Hassan Haes Alhelou, T. Yuvaraj. A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks. IEEE Access. 2021; 9 ():21735-21745.
Chicago/Turabian StyleK. Sakthidasan Sankaran; N. Vasudevan; K. R. Devabalaji; Thanikanti Sudhakar Babu; Hassan Haes Alhelou; T. Yuvaraj. 2021. "A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks." IEEE Access 9, no. : 21735-21745.
This paper analyzes the intelligent use of time-varying electrical load via developing efficient energy utilization patterns using demand-side management (DSM) strategies. This approach helps distribution utilities decrease maximum demand and electrical energy billing costs. A case study of DSM implementation of electric energy utility for an educational building Alagappa Chettiar Government College of Engineering and Technology (ACGCET) campus was simulated. The new optimum energy load model was established for peak and off-peak periods from the system’s existing load profile using peak clipping and load shifting DSM techniques. The result reflects a significant reduction in maximum demand from 189 kW to 170 kW and a reduction in annual electricity billing cost from $11,340 to $10,200 (approximately 10%) in the upgraded system. This work highlights the importance of time of day (TOD) tariff structure consumers that aid reduction in their distribution system’s maximum demand and demand charges.
Rajavelu Dharani; Madasamy Balasubramonian; Thanikanti Sudhakar Babu; Benedetto Nastasi. Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus. Energies 2021, 14, 558 .
AMA StyleRajavelu Dharani, Madasamy Balasubramonian, Thanikanti Sudhakar Babu, Benedetto Nastasi. Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus. Energies. 2021; 14 (3):558.
Chicago/Turabian StyleRajavelu Dharani; Madasamy Balasubramonian; Thanikanti Sudhakar Babu; Benedetto Nastasi. 2021. "Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus." Energies 14, no. 3: 558.
Modeling of solar photovoltaic (PV) cell/modules to estimate its parameters with the measured current–voltage (I–V ) values is a very important issue for the control, optimization, and effectiveness of the PV systems. Therefore, in this research work, a robust approach based on Stochastic Fractal Search (SFS) optimization algorithm is introduced to estimate accurate and reliable values of solar PV parameters for its precise modeling. To assess the excellence of the proposed SFS algorithm, different solar PV equivalent circuit models, i.e. single-diode model (SDM), double-diode model (DDM), and PV module model are taken into consideration. The introduced algorithm is examined under three different case studies; (i) first case study: an experimental standard dataset of a commercial R.T.C. France silicon solar cell working at 33°C, and solar radiance of 1000 W/m2; (ii) second case study: using a polycrystalline solar panel STP6 120/36 with 36 cells in series working at 22°C, and (iii) third case study: an experimental dataset of ESP-160 PPW PV module working at 45°C, this experimentation were carried out in the Laboratory of Renewable Energy at Assiut University, Egypt. The results obtained using the proposed method are compared with other recently published works, and hence, the achieved results show the superiority, perfectness, and effective modeling concerning various performance parameters. Thereby, the proposed SFS approach can be used for effective PV modeling to improve the efficiency of the PV system.
Hegazy Rezk; Thanikanti Sudhakar Babu; Mujahed Al-Dhaifallah; Hamdy A. Ziedan. A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters. Energy Reports 2021, 7, 620 -640.
AMA StyleHegazy Rezk, Thanikanti Sudhakar Babu, Mujahed Al-Dhaifallah, Hamdy A. Ziedan. A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters. Energy Reports. 2021; 7 ():620-640.
Chicago/Turabian StyleHegazy Rezk; Thanikanti Sudhakar Babu; Mujahed Al-Dhaifallah; Hamdy A. Ziedan. 2021. "A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters." Energy Reports 7, no. : 620-640.
In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system.
K. Premkumar; M. Vishnupriya; Thanikanti Sudhakar Babu; B. Manikandan; T. Thamizhselvan; A. Nazar Ali; Rabiul Islam; Abbas Kouzani; M. Parvez Mahmud. Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator. Sustainability 2020, 12, 10357 .
AMA StyleK. Premkumar, M. Vishnupriya, Thanikanti Sudhakar Babu, B. Manikandan, T. Thamizhselvan, A. Nazar Ali, Rabiul Islam, Abbas Kouzani, M. Parvez Mahmud. Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator. Sustainability. 2020; 12 (24):10357.
Chicago/Turabian StyleK. Premkumar; M. Vishnupriya; Thanikanti Sudhakar Babu; B. Manikandan; T. Thamizhselvan; A. Nazar Ali; Rabiul Islam; Abbas Kouzani; M. Parvez Mahmud. 2020. "Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator." Sustainability 12, no. 24: 10357.
Nowadays, the application of distributed energy sources (DES) has been extensively employed to serve the power system by supplying the power into the grid and improving the power quality (PQ). Therefore, DES is one solution that can efficiently overcome the energy crisis and climate change problems. The DES, such as solar photovoltaic (PV), wind turbine (WT), and battery energy storage systems (BESS), are incorporated to form the microgrid (MG), which are interfaced with the power system. However, interfacing MG to the power system is undoubtedly a big challenge. Therefore, more focus is required on the control strategy to control the MG with the power system. To address the PQ problems, a controlled MG integrated with a hybrid shunt active power filter (HSAPF) is provided in this work. For controlling the MG integrated HSAPF, different control strategies are applied. In this work, a learning-based incremental conductance (LINC) technique is used as a maximum power point tracking (MPPT) for tracking the maximum power in PV and WT. The voltage source inverter (VSI) of HSAPF is controlled using a wavelet-based technique with a synchronous reference frame (SRF). The main focus is to improve the PQ by compensating the harmonics and regulating the reactive power in both grid-interactive and islanded condition and also supply continuous and adequate power to the non-linear load. The power system model has been developed with MATLAB/Simulink tool, which shows the efficiency of the proposed method. The results obtained have been satisfactorily under various operating conditions and can be validated further using the real-time dSPACE.
Soumya Das; Prakash Ray; Arun Sahoo; Somula Ramasubbareddy; Thanikanti Babu; Nallapaneni Kumar; Hassan Haes Alhelou; Pierluigi Siano. Performance of Hybrid Filter in a Microgrid Integrated Power System Network Using Wavelet Techniques. Applied Sciences 2020, 10, 6792 .
AMA StyleSoumya Das, Prakash Ray, Arun Sahoo, Somula Ramasubbareddy, Thanikanti Babu, Nallapaneni Kumar, Hassan Haes Alhelou, Pierluigi Siano. Performance of Hybrid Filter in a Microgrid Integrated Power System Network Using Wavelet Techniques. Applied Sciences. 2020; 10 (19):6792.
Chicago/Turabian StyleSoumya Das; Prakash Ray; Arun Sahoo; Somula Ramasubbareddy; Thanikanti Babu; Nallapaneni Kumar; Hassan Haes Alhelou; Pierluigi Siano. 2020. "Performance of Hybrid Filter in a Microgrid Integrated Power System Network Using Wavelet Techniques." Applied Sciences 10, no. 19: 6792.
The important interest and efforts devoted by industries and academic research institutions to electricity production from renewable and clean energy with the maturity of existed technologies justify the biggest exploitation of wind energy over the recent years. With the reduction in oil prices, renewable energy is way forward for efficient and environment friendly energy generation. Out of all existing available renewable energy, Wind Energy is the front runner owing to its ability of efficient power generation and to produce energy at large scale. Due to the non linear nature of wind energy, Optimization techniques are extremely critical as they are solely responsible for building an effective wind farm. Layout optimization is performed by using soft computing techniques and are extensively studied in the available literature. Therefore, this review paper highlights the significant research works of wind farm modelling using optimization techniques. This work also addresses the new approaches used in wind farm modelling. Further, it also presents a critical evaluation of existing research methodologies used for wind farm layout optimization. Hence, the objective of this work is to benefit scientists and new entrants in the field of modelling and layout optimization of the wind farm.
Karthik Balasubramanian; Sudhakar Babu Thanikanti; Umashankar Subramaniam; Sudhakar N.; Sam Sichilalu. A novel review on optimization techniques used in wind farm modelling. Renewable Energy Focus 2020, 35, 84 -96.
AMA StyleKarthik Balasubramanian, Sudhakar Babu Thanikanti, Umashankar Subramaniam, Sudhakar N., Sam Sichilalu. A novel review on optimization techniques used in wind farm modelling. Renewable Energy Focus. 2020; 35 ():84-96.
Chicago/Turabian StyleKarthik Balasubramanian; Sudhakar Babu Thanikanti; Umashankar Subramaniam; Sudhakar N.; Sam Sichilalu. 2020. "A novel review on optimization techniques used in wind farm modelling." Renewable Energy Focus 35, no. : 84-96.
This study confers a novel approach towards fuzzy-PI (proportional–integral) controlled pulse width modulation (PWM) controlled permanent magnet synchronous motor (PMSM) drive operated through a conventional voltage source inverter (VSI) supplemented with buck-converter fed current source inverter (CSI). It is observed that in a PWM controlled VSI, output voltage and current obtained contains certain harmonic distortion. A buck-converter fed CSI is capable of minimising the voltage and current ripples prominently even with the application of PWM. Thereby, in this study, an economic, as well as robust design procedure for the buck converter, fed CSI is proposed. Moreover, a particle swarm optimisation (PSO) mechanism is introduced to optimise the performance of the proposed fuzzy logic controller. Additionally, an over-current protection scheme of the PMSM motor is proposed. The performance of a PMSM drive is analysed in MATLAB/SIMULINK platform. Furthermore, the proposed concept is tested and verified in a real-time test-bench developed in the laboratory. Finally, from the performed test conditions, it can be confirmed that the proposed current control strategy of the drive system shows excellent performance in various operating conditions and can be employed in light-weight electric vehicles.
Chiranjit Sain; Atanu Banerjee; Pabitra Kumar Biswas; Thanikanti Sudhakar Babu; Tomislav Dragicevic. Updated PSO optimised fuzzy‐PI controlled buck type multi‐phase inverter‐based PMSM drive with an over‐current protection scheme. IET Electric Power Applications 2020, 14, 2331 -2339.
AMA StyleChiranjit Sain, Atanu Banerjee, Pabitra Kumar Biswas, Thanikanti Sudhakar Babu, Tomislav Dragicevic. Updated PSO optimised fuzzy‐PI controlled buck type multi‐phase inverter‐based PMSM drive with an over‐current protection scheme. IET Electric Power Applications. 2020; 14 (12):2331-2339.
Chicago/Turabian StyleChiranjit Sain; Atanu Banerjee; Pabitra Kumar Biswas; Thanikanti Sudhakar Babu; Tomislav Dragicevic. 2020. "Updated PSO optimised fuzzy‐PI controlled buck type multi‐phase inverter‐based PMSM drive with an over‐current protection scheme." IET Electric Power Applications 14, no. 12: 2331-2339.
Synchronization is a crucial problem in the grid-connected inverter’s control and operation. A phase-locked loop (PLL) is a typical grid synchronization strategy, which ought to have a high resistance to power system uncertainties since its sensitivity influences the generated reference signal. The traditional PLL catches the phase and frequency of the input signal via the feedback loop filter (LF). In general, to enhance the steady-state capability during distorted grid conditions generally, a filter tuned for nominal frequency is used. This PLL corrects large frequency deviations around the nominal frequency, which increases the PLL’s locking time. Therefore, this paper presents an adaptive feed-forward PLL, where the input signal frequency and phase under large frequency deviations are tracked precisely, which overcomes the above-mentioned limitations. The proposed adaptive PLL consists of a feedback loop that reduces the phase error. The feed-forward loop predicts the frequency and phase error, and the frequency adaptive FIR filter reduces the ripples in output, which is due to input distortions. The adaptive mechanism adjusts the gain of the filter in accordance with the supply frequency. This reduces the phase and frequency error and also decreases the locking time under wide frequency deviations. To verify the effectiveness of the proposed adaptive feed-forward PLL, the system was tested under different grid abnormal conditions. Further, the stability analysis has been carried out via a developed prototype test platform in the laboratory. To bring the proposed simulations into real-time implementations and for control strategies, an Altera Cyclone II field-programmable gate array (FPGA) board has been used. The obtained results of the proposed PLL via simulations and hardware are compared with conventional techniques, and it indicates the superiority of the proposed method. The proposed PLL effectively able to tackle the different grid uncertainties, which can be observed from the results presented in the result section.
Aravind Kathiresan; Jeyaraj PandiaRajan; Asokan Sivaprakash; Thanikanti Sudhakar Babu; Rabiul Islam. An Adaptive Feed-Forward Phase Locked Loop for Grid Synchronization of Renewable Energy Systems under Wide Frequency Deviations. Sustainability 2020, 12, 7048 .
AMA StyleAravind Kathiresan, Jeyaraj PandiaRajan, Asokan Sivaprakash, Thanikanti Sudhakar Babu, Rabiul Islam. An Adaptive Feed-Forward Phase Locked Loop for Grid Synchronization of Renewable Energy Systems under Wide Frequency Deviations. Sustainability. 2020; 12 (17):7048.
Chicago/Turabian StyleAravind Kathiresan; Jeyaraj PandiaRajan; Asokan Sivaprakash; Thanikanti Sudhakar Babu; Rabiul Islam. 2020. "An Adaptive Feed-Forward Phase Locked Loop for Grid Synchronization of Renewable Energy Systems under Wide Frequency Deviations." Sustainability 12, no. 17: 7048.