Article
Automation & Control Systems
Gopal Soundra Devi, Jawahar Rahila, Athmanathan Radhika, Pandi Meenalochini
Summary: A hybrid method combining optimization and decision tree algorithms is proposed in this study for electric-vehicle fast charging stations, aiming to reduce the peak power demand on the grid and improve power demand through the use of energy storage systems. Simulation results show that the proposed method outperforms existing methods in terms of power delivery.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Computer Science, Information Systems
Waleed M. Hamanah, Aboubakr Salem, M. A. Abido, Abdulaziz M. Qwbaiban, Thomas G. Habetler
Summary: Concentrated solar power (CSP) is a growing technology that aims to collect solar energy from the sunbeams. This article provides a comprehensive review of different CSP drives and discusses the development and research gaps in this area. It also presents a case study to investigate the performance of a small-sized heliostat prototype using the azimuth-elevation dual-axis tracking.
Article
Engineering, Electrical & Electronic
M. D. B. Gomes, M. C. Cavalcanti, L. R. Limongi, G. M. S. Azevedo, M. E. C. Brito
Summary: This paper proposes a twelve-switch converter topology as a power conditioner for voltage and current compensation in three-phase four-wire grids. The developed topology combines the low voltage characteristic of a hybrid power filter with a reduced number of semiconductor switches and the capability of homopolar voltage and current compensation. Experimental results demonstrate the validity and effectiveness of the proposed topology.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Review
Chemistry, Physical
Jun Liu, Zhenyu Huang, Ming Fan, Jihui Yang, Jie Xiao, Yong Wang
Summary: Fossil energy currently dominates global energy consumption, but there is a growing momentum to reduce its usage and increase renewable energy utilization. The high penetrations of distributed renewable resources bring complexity and uncertainty that current infrastructure struggles to handle. Drawing from the transition the telecommunications industry has experienced, a platform-based approach called the energy platform is seen as a viable solution to address renewable energy challenges.
Review
Energy & Fuels
Ravindranath Tagore Yadlapalli, Anuradha Kotapati, Rajani Kandipati, Chandra Sekhar Koritala
Summary: This paper presents the technological advancements of electric vehicles (EVs) worldwide. The focus is on various types of EVs and energy management strategies, as well as the utilization of energy-efficient wide bandgap (WBG) semiconductor technology. The paper mainly discusses the features of SiC devices for EV applications, performance enhancement methods, survey of SiC-based power converter topologies, and the importance of energy optimization in EV charging systems. It also explores the challenges associated with SiC power modules.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Spyros Foteinis
Summary: Existing wave energy technology needs to be optimized and downscaled to fit the environment of low energy seas. Wave energy converters can protect ports and coasts in the nearshore, and have other secondary functions. However, little attention has been paid to their environmental impacts.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
H. Ben Sassi, C. Alaoui, F. Errahimi, N. Es-Sbai
Summary: This paper investigates the suitability of V2G technology for the Moroccan national grid, outlining the state of art of the technology and the current status of the country's power grid. The paper also takes into consideration the evolution of the EV market in the country and the deployed EV charging infrastructure. Additionally, a survey on the potential services that V2G could provide is presented.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Wen-Kai Zhu, Cheng-yuan Wang, Li-song Wang, Xiao-han Wu, Qiang Yue
Summary: The power industry is crucial for achieving carbon emission peak and carbon neutrality. China's power industry is expected to undergo deep decarbonization and enhanced energy efficiency in the next 40 years, with a transition towards renewable energy generation and higher parameter thermal power plants. The study predicts significant environmental benefits from these adjustments, such as reduced CO2 emissions and savings in coal consumption, while promoting the development of wind and photovoltaic power generation.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Chemistry, Multidisciplinary
Dante Ruiz, Jorge Ortiz, Edgar Moreno, Claudio Fuerte, Vicente Venegas, Alejandro Vargas, Hector Vergara
Summary: The research aims to explore the advantages and disadvantages of nanocrystalline and ferrite materials in MFT design, and their impact on power density, performance, and cost. The experimental results show that the nanocrystalline core has higher power density and efficiency, while the ferrite core is lower in construction cost.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Elias Kaufhold, Jan Meyer, Peter Schegner
Summary: This article presents a non-destructive measurement method for identifying the dc-link capacitance in single-phase power electronic devices, aiming at modeling purposes. The diverse approaches used by manufacturers in designing the components of these devices pose challenges to their modeling and analysis of their interaction with other devices and low voltage networks. The article proposes a new method to identify dc-link capacitance based on analyzing the ripple part of the dc-link voltage, and provides analytical background and simulative validation. Finally, a laboratory application to a commercially available single-phase inverter for photovoltaic systems is demonstrated through real measurement.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Zhongting Tang, Yongheng Yang, Frede Blaabjerg
Summary: This letter introduces an interlinking converter architecture that can efficiently integrate various types of DC and AC sources. Experimental tests confirm the advantages of this architecture in terms of flexible conversion, high power density, and controllable power flow.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Computer Science, Information Systems
Maryam Sarebanzadeh, Mohammad Ali Hosseinzadeh, Cristian Garcia, Ebrahim Babaei, Syed Islam, Jose Rodriguez
Summary: This article introduces two generalized multilevel inverter configurations that are suitable for renewable energy sources by reducing the number of elements and total standing voltage. The proposed topologies offer flexibility in design, achieve a large number of levels, and minimize the number of elements required.
Article
Engineering, Electrical & Electronic
Elias Oggier, German G. Oggier, Fernando Botteron, Guillermo O. Garcia
Summary: This article proposes a closed-form solution for designing digital proportional-resonant controllers applied to three-phase four-leg (TP4L) inverters to achieve harmonic compensation. It presents a sequential procedure that uses closed-form expressions to establish the harmonic frequencies at which resonant stages must be added, eliminating the need for a trial-and-error process. Experimental results validate the proposed design using a 5-kVA four-leg inverter, feeding balanced, unbalanced, linear, and nonlinear loads.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Review
Engineering, Electrical & Electronic
Iman Aghabali, Jennifer Bauman, Phillip J. Kollmeyer, Yawei Wang, Berker Bilgin, Ali Emadi
Summary: The adoption of 800-V battery electric vehicles (BEVs) can lead to higher charging rates, but also requires careful consideration for the design of all electrical systems. This article reviews the current state of 800-V vehicle powertrain electrical design and discusses the benefits, challenges, and future trends associated with multiple vehicle powertrain components.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Electrical & Electronic
Alaaeldien Hassan, Xu Yang, Wenjie Chen, Ahmed I. M. Ali
Summary: This article presents an improved switched-capacitor multilevel inverter (MLI) with fewer components. By using switched capacitors (SCs) with the dc sources, the proposed configuration reduces the number of dc-links and maintains a compact and combinable structure. The suggested structure allows for expansion to achieve higher output power levels with a slight increase in component count. The inverter is designed for a renewable energy system (RES) to extract and inject electrical power into the grid. A developed PWM controller is proposed to control the system's operation, ensuring balanced dc-links voltages and maximum power extraction from renewable resources. The simulation results are verified experimentally using dSPACE-1103 hardware.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Ersan Kabalci, Yasin Kabalci, Pierluigi Siano
Summary: This paper proposes a smart metering infrastructure with DC and AC analog front ends, wired and wireless communication interfaces, and remote monitoring software. The implemented metering device includes isolated measurement transducers, a signal conditioning tier with highly accurate operational amplifiers, and signal processing by a PIC microcontroller. The processed measurement data is transmitted wirelessly and a graphical user interface software is coded at the receiving end host computer.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Yasin Kabalci, Mustafa Ahmadi, Muhammad Ali
Summary: This paper investigates the performance degradation issues in millimeter-wave communication and multiple-antenna systems. To overcome these issues, a hybrid precoder is used, and a method based on iterative geometric mean decomposition is proposed, which achieves better performance in terms of bit error rate and signal-to-noise ratio compared to existing methods.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Aydin Boyar, Ersan Kabalci, Yasin Kabalci
Summary: While internal combustion engine vehicles increase carbon emissions, electric vehicles (EVs) are becoming more important in reducing air pollution. EV production costs are decreasing due to advancements in technology, particularly in the use of alternating current induction machines (ACIM). This study explores the use of an active neutral point clamped (ANPC) inverter to provide the appropriate voltage for the ACIM in EV configurations. The ANPC inverter is controlled using model predictive torque control and includes remote control and monitoring functions via an Internet of Things-based module.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Review
Energy & Fuels
Erdal Irmak, Ersan Kabalci, Yasin Kabalci
Summary: This paper provides a comprehensive review of the future digitalization of microgrids to meet the increasing energy demand. It discusses the key digital technologies that can improve the performance of microgrids and highlights the importance of cybersecurity. The paper also addresses the barriers and challenges of digitalizing microgrids. Overall, the paper emphasizes the significant potential for digital technologies to transform the future of microgrids and contribute to a sustainable energy future.
Article
Engineering, Electrical & Electronic
Alperen Sari, Sahin Sonmez, Saffet Ayasun, Yasin Kabalci
Summary: This study investigates the delay-dependent stability of a multi-area Load Frequency Control (LFC) system with Electric Vehicle (EV) aggregators using the Advanced Clustering with Frequency Sweeping (ACFS) method. Both Integer-Order (IO) and Fractional-Order Proportional Integral (FOPI) controllers are utilized. Time delays induced by the communication infrastructure in LFC systems can lead to deteriorations in system stability. The ACFS method is employed to study the impacts of time delays and improve controller performance objectives. The results show that the participation of EV aggregators in traditional LFC systems improves frequency regulation and tie-line power-sharing.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Ural Mutlu, Yasin Kabalci
Summary: Intelligent Reflecting Surfaces (IRS) is a technology that uses passive reflecting elements to achieve passive beamforming. This research proposes a Deep Learning (DL) based approach to improve channel estimation in an IRS-aided wireless network. A Convolutional Neural Network (CNN) is used to treat OFDM frames as images and is trained with channel coefficients obtained by LS and DFT methods. The results show that the CNN improves channel estimation efficiency by reducing noise effects and improving NMSE parameters.
2023 5TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Ersan Kabalci, Yasin Kabalci, Aydin Boyar
Summary: Induction motors are widely used in industrial applications due to their simple structure, low maintenance, and affordability. Inverter topologies, especially multilevel inverters, are gaining popularity in induction motor drives for their higher efficiency, lower harmonic ratio, and reduced filter size. This study compares the performance of neutral point clamped (NPC) and active neutral point clamped (ANPC) inverter topologies in a model predictive torque control (MPTC) based induction motor drive. The results demonstrate the effectiveness of the proposed MPTC-based drives in terms of flux and torque responses, as well as speed control, under various load and speed conditions, and they are compared based on efficiency and total harmonic distortion (THD).
2023 5TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Mahshad Mahmoudian, S. Mohammadali Zanjani, Hossein Shahinzadeh, Yasin Kabalci, Ersan Kabalci, Farshad Ebrahimi
Summary: Big data technology has gained significant attention across various scientific fields. The Vehicular Ad-Hoc Network (VANET) is crucial for road safety and intelligent transportation systems by facilitating information exchange between vehicles, devices, and public networks. VANETs generate large amounts of data that require quick and reliable transmission, which can be enhanced by analyzing diverse data types. By utilizing big data technologies, VANETs can extract valuable insights from operational data for improved traffic management. This paper discusses the incorporation of VANET features into big data and explores methods for utilizing big data to study VANET features, enabling efficient decision-making based on statistical analysis or graphical representations.
2023 5TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Mahshad Mahmoudian, S. Mohammadali Zanjani, Hossein Shahinzadeh, Yasin Kabalci, Ersan Kabalci, Farshad Ebrahimi
Summary: In recent years, the rapid growth of data generation, Internet applications, mobile applications, and network-connected sensors has led to the emergence of big data. Cloud computing and the Internet of Things have further contributed to the dramatic growth of data. This article provides an overview of big data, its features, applications, and implementation, and discusses challenges and technologies related to big data, such as data analysis, storage, and visualization, as well as cloud computing, IoT, and data centers.
2023 5TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Ilim Erden, Ersan Kabalci, Yasin Kabalci
Summary: As the distribution grids shift from the traditional model to the smart grid model, grid control plays an important role in deployment planning. The integration of Electric Vehicles (EVs) into the traditional distribution grid requires detailed planning and analysis studies. This study examines the effects of balanced and unbalanced EV charging station (EVCS) loads in a distribution region in Turkiye for low and high growth rate demand scenarios in 2030. Using current power consumption data, simulations were run on Digsilent Powerfactory and power demand for 2030 was forecasted. The results for both the traditional grid and expected smart grid scenarios are presented and discussed.
2023 5TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM
(2023)
Proceedings Paper
Energy & Fuels
Alperen Sari, Sahin Sonmez, Saffet Ayasun, Yasin Kabalci
Summary: This paper investigates the application of an Electric Vehicle (EV) aggregator in a Load Frequency Control (LFC) system and analyzes its impact on stability regions. By adjusting the controller parameters through droop coefficient and participation factor, the EV aggregator contributes positively to the stability regions under the LFC-EV concept, as proven through MATLAB-Simulink-based studies.
2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022)
(2022)
Proceedings Paper
Energy & Fuels
Aydin Boyar, Ersan Kabalci, Yasin Kabalci
Summary: The number of fossil fuel vehicles is increasing worldwide, leading to an increased focus on zero-emission electric vehicles (EVs). Depending on the type of motor, EVs use converter and inverter topologies in their structure. This study focuses on the three-phase three-level active neutral point clamping (ANPC) inverter topology, chosen for its high power quality. Induction motors, known for their simple structure and low maintenance costs, are widely used in EVs. The study models a speed sensorless induction motor drive for EVs, using a model predictive controller (MPC) developed for torque control and a model reference adaptive system (MRAS) method for obtaining the speed value. The proposed induction motor drive for EVs is analyzed under varying speed and torque values.
2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022)
(2022)
Proceedings Paper
Energy & Fuels
Ural Mutlu, Yasin Kabalci
Summary: Intelligent Reflecting Surfaces (IRS) composed of multiple independently controllable passive Reflecting Elements (RE) can achieve beamforming. This study applies DFT-based channel estimation method to an IRS-assisted communication system implementing 5G-OFDM waveform, and finds that delay spread significantly affects the performance, while the training sequence length can be reduced.
2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022)
(2022)
Proceedings Paper
Energy & Fuels
Ural Mutlu, Yasin Kabalci
Summary: This study presents a Deep Learning based approach to improve the accuracy of channel coefficients in MIMO systems. It uses 5G DMRS as training sequence and utilizes DNN to predict real-time channel coefficients. The model improves channel estimation performance by reducing the effects of noise.
2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022)
(2022)
Proceedings Paper
Energy & Fuels
Majid Moazzami, Niloufar Sheini-Shahvand, Ersan Kabalci, Hossein Shahinzadeh, Yasin Kabalci, Gevork B. Gharehpetian
Summary: The internet of things (IoT) is an emerging concept that has impressed various technologies worldwide. It has convinced many companies and organizations to invest in IoT technologies, especially in smart cities. The integration of IoT in smart cities requires a good understanding of its prerequisites, infrastructure, and architecture.
2021 IEEE 3RD GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2021)
(2021)
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)
