Review
Chemistry, Multidisciplinary
Zulbirri Faizol, Farid Zubir, Norhafezaidi Mat Saman, Mohd Hafizi Ahmad, Mohamad Kamal A. Rahim, Osman Ayop, Muzammil Jusoh, Huda A. Majid, Zubaida Yusoff
Summary: This article reviews the current methods for detecting and locating partial discharge signals in high-voltage equipment, compares their efficacy, and summarizes the future direction of research in PD detection.
APPLIED SCIENCES-BASEL
(2023)
Article
Automation & Control Systems
Jun Jia, Chengbo Hu, Qiang Yang, Yuncai Lu, Bo Wang, Hengyang Zhao
Summary: The article presents an algorithmic solution based on the time difference of arrival algorithm and semidefinite relaxation convex optimization to improve the accuracy of PD source localization. It fully considers the refraction and diffraction errors, measurement errors, and their relationship in the process of PD signal propagation. The proposed solution outperforms existing algorithms with a localization error of about 0.1 m, as confirmed through simulation, testbed, and field experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Mohammad Amin Jangjoo, Mehdi Allahbakhshi, Hassan Reza Mirzaei
Summary: Partial discharge (PD) localization in power transformers using the ultra-high frequency (UHF) technique based on time difference of arrival equations is advanced. By receiving and processing PD electromagnetic waves (EMWs) through installed sensors on the tank, the PD location can be estimated. The UHF method for localization accuracy is affected by non-line of sight propagation, EMW reflection and refraction, and arrival time detection error. This study proposes a new method using the distance between hyperbolic surfaces to determine optimal sensor installation positions on the tank.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Beki Sekongo, Stephan Brettschneider, U. Mohan Rao, Issouf Fofana, Marouane Jabbari, Patrick Picher, Zie Yeo
Summary: This article investigates the breakdown behavior of ester fluids under prolonged usage conditions and evaluates important characteristics. It is found that ester liquids generally perform better than mineral oil in many cases. Additionally, the radius of curvature and thermal aging have an impact on the performance of ester fluids.
Article
Engineering, Multidisciplinary
Walid S. S. Salah, Ahmed H. H. Gad, Mahmoud A. A. Attia, Soliman M. M. Eldebeikey, Abdelhady R. R. Salama
Summary: This research presents a design for a compact double layer printed UHF antenna to detect and discriminate various types of PD activity in a power transformer. The designed antenna has a small/simple size and ultra-wide frequency passband, making it suitable for detecting different types of PD activity in power transformers.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Lijun Zhou, Junyi Cai, Junjie Hu, Guangya Lang, Lei Guo, Liao Wei
Summary: The velocity of the acoustic signal generated by partial discharge in transformers is significantly affected by temperature, as the thermosiphon effect leads to a gradual decrease in internal temperature from top to bottom. The proposed correction-iteration method considers the influence of insulation oil temperature rise and transformer internal structure to improve the accuracy of PD localization results. The effectiveness of the method is validated through simulations and experiments, showing that the localization error is positively correlated with temperature rise, and the results obtained are more accurate compared to other localization methods.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Automation & Control Systems
Junyi Cai, Lijun Zhou, Yulin Zhang, Dongyang Wang, Wei Liao, Chenqingyu Zhang
Summary: This article proposes an approach for online localization of multiple PD sources using single-channel mixed acoustic emission (AE) signal. The approach utilizes a combined method and a difference selection algorithm to separate the mixed AE signals and solve the problem of multiple PD source localization. The effectiveness of the proposed approach is verified through simulation and measurement signals, and it is successfully applied to a transformer for multisource PD localization.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Chemistry, Analytical
Sayed A. Ward, Adel El-Faraskoury, Mohamed Badawi, Shimaa A. Ibrahim, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
Summary: Integration of various techniques in dissolved gas analysis (DGA) improves fault monitoring and demonstrates the importance of using different diagnostic methods for power transformers. Experimental setup and results from the Egyptian Electricity Transmission Company (EETC) support the effectiveness of combining techniques for precise interpretation of transformer conditions.
Review
Computer Science, Information Systems
Md Rashid Hussain, Shady S. Refaat, Haitham Abu-Rub
Summary: This paper reviews and evaluates the current state-of-the-art methods for partial discharge detection and localization in power transformers, highlighting detailed comparisons and discussions on the drawbacks and challenges of different detection techniques. Additionally, it briefly addresses PD denoising signals, feature extraction of PD signals, and classification of partial discharge sources.
Article
Chemistry, Analytical
Wojciech Sikorski, Artur Wielewski
Summary: The article explains the construction of a low-cost, portable online PD monitoring system based on the acoustic emission (AE) technique. The system utilizes a highly sensitive piezoelectric transducer as the PD detector and a Teensy 3.2 development board for counting AE pulses. The system's advantages include its small size, easy installation, storage of data, battery power supply, and immediate readiness for operation.
Article
Chemistry, Physical
Vladimir Poluzanski, Nenad Kartalovic, Bosko Nikolic
Summary: This research analyzes the influence of transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location, quantifying the contribution through analytical, statistical, and Monte Carlo methods. The study reveals that the contribution varies significantly with different positions of partial discharge and acoustic sensors, proposing a procedure to control the contribution in practice.
Article
Engineering, Electrical & Electronic
Lakshmi Tharamal, P. Preetha, T. K. Sindhu
Summary: This article proposes a method to classify in-service transformer oil by assessing its level of degradation through partial discharge testing. Statistical analysis and postprocessing techniques are applied, resulting in a high level of classification accuracy. This research is of great importance for ensuring the integrity and reliability of transformer equipment.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Automation & Control Systems
Haihua Wang, Guochun Xiao, Laili Wang, Yunqing Pei, Feifei Yan, Qingshou Yang
Summary: Partial discharge (PD) detection is crucial for ensuring the reliability of insulation in high-voltage power electronics devices. Existing research mainly focuses on traditional electrical methods that do not meet the voltage conditions in power modules, and fail to address electromagnetic interference (EMI) issues. This article proposes a novel approach based on optic theory, utilizing an optic fiber sensing system for PD detection in power modules. Additionally, a PD inception voltage (PDIV) signal processing method based on PD acoustic signals is introduced. The proposed approach successfully captures PD signals and PDIV without EMI interference or new insulation problems.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Sahand Seifi, Peter Werle, Amir Abbas Shayegani Akmal, Hossein Mohseni, Hossein Borsi
Summary: Electrical PD measurement is a powerful tool for assessing the insulating system of power transformers, but establishing a proper threshold value for PD acceptance test is challenging due to the significant dependency of apparent charges on the location of PDs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Shuangzan Ren, Dongxin Hao, Xiaohong Zhao, Yanliang He, Changjian Yang, Lei Xin, Jing Liu, Sichen Qin, Beibei Zhao
Summary: In the operation of the transformer, the temperature rise inside the transformer presents a gradient distribution, which affects the sound velocity and positioning of the partial discharge source. Therefore, a transmission model of ultrasonic signals considering nonlinear attenuation in temperature gradient field is established to obtain accurate partial discharge signals.
ELECTRICAL ENGINEERING
(2023)
Article
Thermodynamics
Mohammadali Norouzi, Jamshid Aghaei, Sasan Pirouzi, Taher Niknam, Mahmud Fotuhi-Firuzabad
Summary: This paper introduces a method for flexible power management in a networked microgrid, including flexibility sources and demand response programs, to improve the economic, operational, and flexibility conditions through flexibility pricing and stochastic programming.
Article
Green & Sustainable Science & Technology
Ali Amiri Zaniani, Mehdi Nafar, Mohsen Simab
Summary: The study proposes a new method using CDKF as input index for DML to diagnose BRBs in IMs, achieving a high accuracy of over 98% after training. CDKF improves filter precision and stability, making it more stable and accurate compared to UKF.
IET RENEWABLE POWER GENERATION
(2022)
Article
Green & Sustainable Science & Technology
Ayoub Nargeszar, Amir Ghaedi, Mehdi Nafar, Mohsen Simab
Summary: This paper investigates the impact of temperature and renewable resource variation on the failure rate of microgrid components, and evaluates the failure rate of the entire microgrid system in response to different energy sources through simulation.
IET RENEWABLE POWER GENERATION
(2023)
Article
Energy & Fuels
Mohammadali Norouzi, Jamshid Aghaei, Taher Niknam, Sasan Pirouzi, Matti Lehtonen
Summary: The paper introduces a new bi-level multi-objective model to enhance the flexibility of microgrids, taking into account the presence of renewable and flexibility resources. The proposed model maximizes the profit of flexibility resources in the upper level, while minimizing the energy cost and voltage deviation in the lower level.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Abbas Aff, Mohsen Simab, Mehdi Nafar, Alireza Mirzaee
Summary: The applicability of robust linear parameter varying (LPV) control for frequency fluctuation damping in an islanded hybrid microgrid (IHMG) system is investigated in this paper. The study focuses on the effect of renewable energy sources (RESs), load variation, solar irradiation, wind power disturbance, and system parametric uncertainties on the system frequency operation. A novel LPV approach is proposed to hide the nonlinearity of the wind turbine and obtain a dynamic output feedback controller. The results show the superiority of the proposed robust method in terms of frequency stability compared to other methods under simultaneous disturbances and parametric uncertainties.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Computer Science, Information Systems
Amir Reza Aqamohammadi, Taher Niknam, Sattar Shojaeiyan, Pierluigi Siano, Moslem Dehghani
Summary: This study proposes a smart fault detection method (FDM) for microgrids (MGs) based on the Hilbert-Huang transform (HHT) and deep neural networks (DNNs). The method aims to rapidly detect fault type, phase, and location data to protect MGs and restore services. The approach preprocesses branch current measurements using HHT and extracts features using singular value decomposition (SVD) for input to DNNs. Compared to previous studies, this method achieves higher fault-type identification accuracy and can determine new fault locations. Evaluation on IEEE 34-bus and MG systems demonstrates its effectiveness in terms of detection precision, computing time, and robustness to measurement uncertainties.
Article
Computer Science, Information Systems
Mohammad Ghiasi, Taher Niknam, Moslem Dehghani, Hamid Reza Baghaee, Zhanle Wang, Mohammad Mehdi Ghanbarian, Frede Blaabjerg, Tomislav Dragicevic
Summary: This article introduces an enhanced control strategy for renewable energy resources connected to microgrids through voltage-sourced converters. The strategy includes various controllers designed using the finite control set-model predictive control (FCS-MPC) strategy. The controllers can be applied in both grid-connected and island operation modes. The proposed method improves the computation power by eightfold and is proven to be superior theoretically. Simulation and hardware experiments validate the efficiency, authenticity, and compatibility of the proposed control strategy.
IEEE SYSTEMS JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Mohammad Reza Negahdari, Amir Ghaedi, Mehdi Nafar, Mohsen Simab
Summary: Due to its advantages, numerous clean micro-grids with renewable resources such as wind, tidal, and solar have been developed worldwide. However, the high investment cost of renewable energy-based generation units requires optimization to achieve cost-effective electricity generation. This paper focuses on the optimal planning of a micro-grid with an energy storage device and a new mixture of renewable resources.
IET RENEWABLE POWER GENERATION
(2023)
Article
Energy & Fuels
Mohammad Jafar Nafehfeshan, Bahman Bahmani-Firouzi, Mehdi Nafar
Summary: This paper discusses the optimal management of energy sources, storage, and responsive loads in the energy network to improve its economic and technical situation. The participation of grid-connected energy hubs in day-ahead and real-time energy markets is presented, using a two-stage optimization framework. The proposed scheme enhances the operation status and economic indicators of the network, outperforming power flow studies of energy networks.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Reza Negahdari, Amir Ghaedi, Mehdi Nafar, Simab Mohsen
Summary: Barrage type tidal power plants with high installed capacity can be integrated into bulk power systems, but their development is hindered by high investment costs. In order to reduce electricity generation costs, this paper proposes an optimal design for maximizing energy generation of barrage type tidal power plants using three optimization techniques.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Moslem Dehghani, Taher Niknam, Mina GhasemiGarpachi, Hassan Haes Alhelou, Motahareh Pourbehzadi, Giti Javidi, Ehsan Sheybani
Summary: The purpose of this paper is to analyze cyber security issues in smart grids, including prior cyber-attacks, vulnerability issues, and enhanced security procedures. It is important to consider motivations, obstacles, and socio-economic conditions when designing public policies for smart grids. The paper evaluates a group of policies suggested by stakeholders and assesses their potential for developing cyber security. The study finds that the policies with the most attention are regulatory changes to foster innovation, regulation of new business models, and establishment of a cyber-security governance strategy.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Automation & Control Systems
Mohsen Farbood, Mokhtar Shasadeghi, Taher Niknam, Behrouz Safarinejadian, Afshin Izadian
Summary: The main aim of this article is to propose a MB-based robust model predictive control (MPC) for nonlinear systems, considering the model uncertainties and disturbances based on Takagi-Sugeno fuzzy models. The suggested RMPC consists of an offline part and an online MB-based MPC.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Arman Zare, Mohsen Simab, Mehdi Nafar
Summary: Due to the increasing demand in the electricity sector and the shift towards renewable energy sources, the use of solar arrays has gained significant attention. To increase the production capacity, multiple solar cells are arranged in parallel or series to form a panel. Faults such as short-circuits and open-circuits in the PV systems can significantly reduce the amount of solar power generation. An effective fault detection strategy is essential to maintain the proper performance of the PV systems and minimize network interruptions. This study proposes an AI and NN-based detection method utilizing trained neurons to detect various types of faults in PV networks.
RENEWABLE ENERGY RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Sobhan Farjam Keleshteri, Taher Niknam, Mohammad Ghiasi, Hossein Chabok
Summary: This paper proposes a new approach for optimal siting and sizing of PEV charging stations in a coupled electrical and transportation network. The Pareto method is used to solve the problem and the Floyd-Warshall method is utilized to determine the shortest travel routes for PEVs. The obtained results confirm the effectiveness of the optimal planning of PEV charging stations.
JOURNAL OF ENGINEERING-JOE
(2023)
Article
Engineering, Multidisciplinary
Mohammad Reza Negahdari, Amir Ghaedi, Mehdi Nafar, Mohsen Simab
Summary: This study proposes new techniques to optimize the operation of tidal units, resulting in increased power and energy production. The implementation of the proposed operation plan using particle swarm optimization method leads to a 17% increase in generated energy.
JOURNAL OF ENGINEERING-JOE
(2023)
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
