Article
Automation & Control Systems
Zhong-Qiang Wu, Lin-Cheng Hou, Bi-Lian Cao, Bo-Yan Ma, Xiao-Yu Hu
Summary: This study focuses on the complex nonlinear system of wind power generation. It examines how to achieve maximum wind energy capture under variable wind speed conditions with limited input. The research aims to improve the utilization rate of wind energy and explore coordinated control of multiple wind turbines.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Engineering, Marine
Lele Ma, Xiaobing Kong, Xiangjie Liu, Mohamed Abdelkarim Abdelbaky, Ahmad H. Besheer, Mingyu Wang, Kwang Y. Lee
Summary: In this paper, a robust economic model predictive control (EMPC) strategy is developed to minimize damage to the turbine while maximizing electric power output in the offshore wind power generation system. A linear model is used to approximate the nonlinear behavior of the system, and a linear feedback controller is designed to restrict the deviation between the nominal linear system and the actual nonlinear system. Plant simulations and NREL FAST code testing demonstrate the effectiveness of the proposed controller throughout the operating region.
Article
Energy & Fuels
Faizan Hassan Hajam, Mairaj Ud-Din Mufti
Summary: This article proposes a method for AGC control in a deregulated power system using Ultrabattery in coordination with TCPS. Simulation studies demonstrate the effectiveness of the scheme in mitigating low magnitude oscillations and improving system performance index.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Computer Science, Information Systems
Siddhartha Deb Roy, Sanjoy Debbarma, Adnan Iqbal
Summary: Several incidents of security breaches in the power system network have recently been reported, with limited emphasis on the impact of attacks on control signals. This article proposes a novel machine learning algorithm, CDEL, for detecting data anomalies and demonstrates its superiority through experimental results.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Energy & Fuels
Daniel S. Zalkind, Marco M. Nicotra, Lucy Y. Pao
Summary: By controlling the power reference of a wind turbine, energy capture can be increased while reducing generator speed and blade load transients. The controller increases power output under safe conditions and decreases it during problematic transient events, resulting in a 5% increase in annual energy production.
Article
Thermodynamics
Qing'an Li, Chang Cai, Yasunari Kamada, Takao Maeda, Yuto Hiromori, Shuni Zhou, Jianzhong Xu
Summary: This study investigated the impact of different operating conditions of the upstream wind turbine on the power of the downstream wind turbine using a Gaussian wake model. The results showed that the total power coefficient of the wind turbines was relatively higher under specific conditions, and the installation position of the downstream turbine also affected the power output under specific turbulence intensity.
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
Energy & Fuels
Aurelien Carre, Pierre Gasnier, Emile Roux, Laurent Tabourot
Summary: This paper presents the design and fabrication of a small-size propeller inspired by maple samaras and its experimental testing with an electromagnetic generator. The propeller optimizes aerodynamics at low Reynolds numbers and is one of the smallest wind turbines reported in the literature. The wind turbine's performance is tested under different wind speeds, and it demonstrates high efficiency and power density compared to other miniature wind turbines.
Article
Green & Sustainable Science & Technology
Yili Wang, Caichao Zhu, Yao Li, Jianjun Tan
Summary: This study proposes a method of reducing power and increasing the continuous operation time of faulty wind turbines by analyzing the status of operating state parameters after a failure, and analyzes its feasibility. The results show that this method can extend the continuous operation time of wind turbines and increase the total generation.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2021)
Article
Engineering, Electrical & Electronic
Torsten Lund, Heng Wu, Hamid Soltani, John Godsk Nielsen, Gert Karmisholt Andersen, Xiongfei Wang
Summary: This article analyzes the power transfer limit of wind power plants under weak grid conditions and proposes using voltage sensitivity as a metric for assessing the maximum power transfer capability. The article suggests implementing voltage control at the bus with the highest voltage sensitivity and adding dynamic voltage control at the turbine level to improve robustness and disturbance rejection capability.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Review
Energy & Fuels
Jian Yang, Lingqi Fang, Dongran Song, Mei Su, Xuebing Yang, Lingxiang Huang, Young Hoon Joo
Summary: This paper reviews the current situation of yaw control for large wind turbines, focusing on the mechanical/aerodynamic aspects. Existing yaw control methods are classified into three main categories: increasing wind energy capture, reducing fatigue load, and optimizing the total power production and fatigue load of wind farms.
Article
Engineering, Electrical & Electronic
Dongran Song, Qing Chang, Songyue Zheng, Sheng Yang, Jian Yang, Young Hoon Joo
Summary: An adaptive model predictive control (MPC) technique for the yaw system of wind turbines is proposed in this study, showing superior performance through simulations using real wind data. Compared to fixed baseline MPC, the adaptive technique provides better comprehensive performance at different preview times of wind directions.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Energy & Fuels
Xiao Wang, Yigang He, David Wenzhong Gao, Zengyong Wang, Eduard Muljadi
Summary: This paper proposes a distributed control framework for coordinating large-scale wind turbines to share the power reserve request fairly on a wind farm. A cooperative output regulation problem is formulated in a multi-agent framework to synchronize turbine system outputs considering the heterogeneity of turbine models. The proposed approach issues the generator torque and blade pitch commands in a unified manner and is resistant to wind disturbances, as demonstrated through simulations and experiments.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Computer Science, Information Systems
Mohamed Abdeen, Muhammad Sayyed, Jose Luis Dominguez-Garcia, Salah Kamel
Summary: This paper addresses the issue of frequency and stability of conventional generating units being affected due to the substitution of renewable energy sources. To improve frequency regulation, a supplementary control method called washout filter is introduced in the primary frequency control of a doubly-fed induction generator (DFIG)-based wind turbine. The Mayfly Algorithm is used to optimize the parameters of the washout filter for achieving the best performance. The results show significant improvement in system frequency response under different load perturbations compared to the traditional method.
Article
Energy & Fuels
Zilong Cui, Wencheng Guo, Tianyu Zhang
Summary: This paper investigates the superposition control of extreme water levels in surge tanks of PSPS with two turbines under combined operating conditions. The control moments are determined by identifying the most favorable and unfavorable superposition times and introducing the concepts of initial gradient and superposition gradient. The influences of tunnel parameters on the control moments are analyzed.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Automation & Control Systems
Kavita Singh, Yogendra Arya
Summary: The aim of this study is to propose an effective load frequency control scheme by integrating tidal turbines into a standalone microgrid (mu G) system. The use of variable tidal turbines in the de-loaded region is considered as a feasible solution for frequency regulation issues in standalone mu G systems with lower inertia and lacking primary frequency control. A cascade fractional order fuzzy PID-integral double derivative (CFOFPID-IDD) controller is designed and tuned using the Jaya algorithm to efficiently utilize tidal turbines. The performance of the proposed strategy is analyzed under various load conditions and physical constraints, and the simulation results validate its effectiveness and adequacy.
Letter
Pharmacology & Pharmacy
Akhil Sood, Yong-Fang Kuo, Jordan Westra, Gulshan Sharma, Mukaila A. Raji
ANNALS OF PHARMACOTHERAPY
(2023)
Article
Green & Sustainable Science & Technology
Ram A. Jat, Navin K. Jain, Ranjit S. Yadav, Kiran K. Reddy, Raja Ram Choudhary, Pratap V. Zala, Har N. Meena, Susheel Sarkar, Sanjay S. Rathore, Gulshan K. Sharma, Anita Kumawat, Dinesh Jinger, Prakash K. Jha
Summary: The study found that applying 100% recommended fertilizer doses, farmyard manure, and plant growth-promoting rhizobacteria (PGPR) to peanuts in the peanut-wheat cropping system improved growth, yield, and nutrient uptake. However, applying 75% recommended fertilizer doses, farmyard manure, and PGPR to peanuts and 100% recommended fertilizer doses to wheat was the most effective approach. This sustainable system approach increased system productivity, profitability, and net energy gain, making it beneficial for agronomists and farmers.
Article
Engineering, Electrical & Electronic
Ravi Gandhi, S. B. Masikana, Gulshan Sharma, Emre Celik
Summary: Automatic voltage regulator (AVR) is crucial for maintaining generator output voltage in power systems. This paper proposes a robust multiple extended state observer (MESO) to estimate disturbances from all components of AVR and a MESO-based controller (MESOBC) to regulate the terminal voltage accordingly. The performance of MESOBC is compared with other published AVR designs using integrated square error (ISE) as the objective function, and the robustness of MESOBC is verified through sensitivity analysis.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Kartik Iyer, Snehith Perumalla, Menakuru Sai Eswar Reddy, Krishnan Narayanan, Natarajan Prabaharan, Gulshan Sharma, Tomonobu Senjyu
Summary: The increasing demand for electrical power and challenges of traditional power generation lead to the integration of distributed generators (DGs) into radial distribution networks. In this study, the optimal placement of DGs using genetic algorithm (GA) is determined based on a fixed penetration level (PL). By estimating the state of charge (SoC) value for each hour, batteries are placed in optimal locations with fixed capacity to reduce power loss and improve the network's voltage profile. The impact of incorporating electric vehicles (EVs) on the network's power losses is also investigated.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2023)
Article
Mathematics
Jay Raval, Pronaya Bhattacharya, Nilesh Kumar Jadav, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Mitwalli Elmorsy, Amr Tolba, Maria Simona Raboaca
Summary: Credit card fraud has been addressed by using long short-term memory (LSTM) and explainable artificial intelligence (XAI). In this paper, a scheme named RaKShA is proposed to improve the performance of LSTM models by incorporating XAI. The proposed approach achieves high accuracy and stores data on the blockchain to ensure trustworthiness.
Article
Mathematics
Aditya Bakshi, Akhil Gupta, Sudeep Tanwar, Gulshan Sharma, Pitshou N. N. Bokoro, Fayez Alqahtani, Amr Tolba, Maria Simona Raboaca
Summary: To construct the best local codebook for image compression, techniques such as Gaussian Dissemination Function (GDF) are commonly used in the searching process. However, existing algorithms like Firefly (FA) and Particle Swarm Optimization (PSO) face challenges in terms of brightness discrimination and merging uncertainty respectively. In this study, a novel procedure called Cuckoo Search-Kekre Fast Codebook Generation (CS-KFCG) is proposed, which enhances the codebook generation process by implementing a Flight Dissemination Function (FDF). CS-KFGC outperforms other state-of-the-art algorithms in terms of speed, mutation expectations, and achieved a high Peak Signal Noise Ratio (PSNR) with high duration and better acceptability rate.
Article
Engineering, Electrical & Electronic
Atma Ram, Parsh Ram Sharma, Rajesh Kumar Ahuja, Yogendra Arya
Summary: Most of the controllers fail to work properly when encountered with power quality issues in three-phase distribution systems. To address this problem, a novel controller is proposed to improve the performance of DSTATCOM by utilizing a dual fundamental component extraction technique.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
Ravi Kothari, Riya Kakkar, Smita Agrawal, Parita Oza, Sudeep Tanwar, Bharat Jayaswal, Ravi Sharma, Gulshan Sharma, Pitshou N. N. Bokoro
Summary: Flight delay has been a critical concern in the aviation sector due to increased air traffic congestion. We proposed a model using random forest and path-finding algorithm to predict overall flight delay, with a focus on searching for the fastest flights between source and destination. The proposed model achieved an accuracy of 98.2% for delay prediction on historical data using the random forest algorithm.
Article
Computer Science, Information Systems
Sachi Chaudhary, Shail Shah, Riya Kakkar, Rajesh Gupta, Abdulatif Alabdulatif, Sudeep Tanwar, Gulshan Sharma, Pitshou N. N. Bokoro
Summary: With the advancement of technology, electronic voting has been widely adopted worldwide. However, it faces various security and privacy issues. To address these problems, we propose a blockchain-based voting mechanism that combines blockchain and IPFS technology. The mechanism ensures secure and efficient voting process and utilizes the 5G network for low latency and high reliability communication between voters and candidates.
Article
Computer Science, Information Systems
Rushir Bhavsar, Nilesh Kumar Jadav, Umesh Bodkhe, Rajesh Gupta, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma
Summary: Quantum computing and quantum machine learning are emerging technologies that have the potential to revolutionize the way we approach complex problems. We propose a Quantum Machine Learning-based approach for asteroid hazard prediction, using Variational Quantum Circuits and PegasosQSVC algorithms, to improve the accuracy and precision of asteroid classification by leveraging the quantum properties of the data.
Article
Computer Science, Information Systems
Poras Khetarpal, Neelu Nagpal, Mohammed S. Al-Numay, Pierluigi Siano, Yogendra Arya, Neelam Kassarwani
Summary: Power quality issues need to be properly addressed in the forthcoming era of smart meters, smart grids, and increased integration of renewable energy. This paper proposes the use of Deep Auto-encoder (DAE) networks for power quality disturbance (PQD) classification and location detection, without the need for complex signal processing techniques and classifiers. The proposed method shows excellent classification accuracy for PQD, compared to other methods, and requires smaller data sets and less computation time.
Article
Multidisciplinary Sciences
Gauri Sahoo, Rabindra Kumar Sahu, Sidhartha Panda, Nayan Ranjan Samal, Yogendra Arya
Summary: This paper presents a load frequency control method for a multi-micro-grid (MMG) with renewable energies. A hybrid system consisting of wind turbine generator (WTG), solar photovoltaic panel (PV), diesel engine generator (DEG), aqua electrolyzer (AE), fuel cell (FC), battery energy storage system (BESS), and electric vehicle (EV) is considered. The proposed method utilizes a fractional-order-fuzzy-PID (FOFPID) controller for frequency control and a modified Harris Hawks optimizer (mHHO) to tune the FOFPID parameters.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Ali Asgar Padaria, Aryan Alpesh Mehta, Nilesh Kumar Jadav, Sudeep Tanwar, Deepak Garg, Anupam Singh, Giovanni Pau, Gulshan Sharma
Summary: Autonomous vehicles are transforming transportation by enabling self-driving capabilities and integrating artificial intelligence. To address challenges such as distributed data and computational overhead, a novel architecture combining split and federated learning has been proposed for traffic sign classification in autonomous vehicles. The architecture leverages the benefits of a 5G network to achieve efficient and real-time model training and utilization. Experimental findings demonstrate the effectiveness of the architecture in improving AV technology and developing intelligent transportation systems.
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY
(2023)
Article
Energy & Fuels
Sachin Sharma, Tanuj Rawat, Khaleequr Rehman Niazi, Gulshan Sharma
Summary: This article proposes a multiyear investment planning model for distributed generation, considering uncertainty and coordination with demand response. The aim is to reduce various costs related to energy purchasing, investment, emission penalties, and energy losses. Two investment planning models, static and dynamic, are developed with the analysis of real-time demand response. An improved water evaporation optimization algorithm is proposed to solve the complex optimization problem. The models are applied to a standard distribution network.
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
(2023)
