Article
Energy & Fuels
Ronghui Zhang, Na Wu, Zihan Wang, Kening Li, Zhumei Song, Zhenting Chang, Xia Chen, Fan Yu
Summary: This paper presents a constrained hybrid optimal model predictive control method for the mobile energy storage system of Intelligent Electric Vehicle (IEV). The proposed method includes an adaptive cruise control system, hierarchical control structure for active safety control and energy flow management, and an electronic longitudinal control system. Simulation results show that the IEV with the designed hybrid controller can adaptively track following vehicles and reduce the possibility of collision with optimal energy flow management.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Xibeng Zhang, Benfei Wang, Don Gamage, Abhisek Ukil
Summary: This paper proposes a hybrid control method utilizing both MPC and ILC for a hybrid energy storage system in an islanded microgrid with PV generation. The method is effective in handling sudden changes in power demands and improving system performance through algorithm enhancements and controller designs.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Junqiang He, Changli Shi, Tongzhen Wei, Dongqiang Jia
Summary: This paper proposes a stochastic model predictive control approach for a battery/flywheel hybrid energy storage system to improve the automatic generation control performance of thermal generators. The approach combines adaptive Markov chain, scenario tree generation, and model predictive control strategy. Simulation results demonstrate that the proposed approach outperforms conventional methods in regulation performance and economic benefits.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Javier Tobajas, Felix Garcia-Torres, Pedro Roncero-Sanchez, Javier Vazquez, Ladjel Bellatreche, Emilio Nieto
Summary: This study focuses on the development of a resilience-oriented optimization for microgrids with hybrid Energy Storage System (ESS), validated through numerical simulations. The research aims to improve the autonomy of the microgrid and achieve a rapid transition response.
Article
Energy & Fuels
Yijie Zhang, Qimeng Xue, Diju Gao, Weifeng Shi, Wanneng Yu
Summary: Compared with ground power systems, the intermittent and random fluctuation of ship load power demand poses challenges to the energy management system of ship power systems. To address this issue, a hybrid energy storage system and a two-level model predictive control strategy are proposed to optimize fuel economy and power distribution.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Energy & Fuels
Xueqin Lu, Siwei Li, XiangHuan He, Chengzhi Xie, Songjie He, Yuzhe Xu, Jian Fang, Min Zhang, Xingwu Yang
Summary: This paper comprehensively summarizes the advantages and applicable scenarios of hybrid electric vehicle energy management strategy based on model predictive control. The specific application and actual performance of this strategy in different systems are analyzed. The research aims to provide guidance and design ideas for researchers and promote the development of energy management strategies.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Dong Zhao, Shuyan Sun, Ardashir Mohammadzadeh, Amir Mosavi
Summary: This paper presents a self-tuning model predictive control (MPC) based on a type-2 fuzzy system for microgrid frequency control. The type-2 fuzzy system calculates the parameters and coefficients of the control system online. Various energy sources in the microgrid and uncertainties are considered in the study. Experimental results show that the type-2 fuzzy MPC algorithm has the best performance among the compared control systems, followed by type-1 fuzzy MPC with a slight difference in performance.
Article
Automation & Control Systems
Jianwei Li, Fang Yao, Qingqing Yang, Zhongbao Wei, Hongwen He
Summary: This paper proposes a new variable voltage control within a semiactive battery SC hybrid scheme for FFR service, aiming to improve the SC use ratio while reducing the converter's cost.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Yuanhang Zhang, Peng Kou, Linbo Yu, Deliang Liang
Summary: This study proposes a model predictive control (MPC) scheme for coordinated operation of power sources, achieving optimal voltage control and frequency regulation under HVDC pole block fault. The scheme involves a top-layer controller calculating power references and a bottom-layer controller executing them, showing promising results in simulation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Jian Xun Jin, Tian Long Zhang, Ruo Huan Yang, Jian Wang, Shuai Mu, Hao Li
Summary: This paper proposes a distributed hybrid energy storage system (HESS) for an island DC microgrid with a central superconducting magnetic energy storage (SMES) system and multiple distributed battery energy storage systems (BESS). The control scheme adopts filtration control to decouple imbalance power into high frequency and low frequency components, compensated by SMES and distributed BESSs. The proposed mode switch control (MSC) enables SMES to have higher transient power regulation capability. The results demonstrate the feasibility and superiority of the proposed system and control scheme against various power fluctuations.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Automation & Control Systems
Xibeng Zhang, Benfei Wang, Don Gamage, Abhisek Ukil
Summary: A dual-layer model predictive control (MPC) method is proposed in this article to compensate voltage ripple caused by dynamic power loss, which results in significant improvements.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Energy & Fuels
Ahmed H. Yakout, Hany M. Hasanien, Rania A. Turky, Ahmed E. B. Abu-Elanien
Summary: An improved RL agent with a DDPG algorithm is proposed to control hybrid power system frequency. The RL system takes weighted signals of system frequency, frequency deviation, integration of frequency deviation, and differentiation of frequency deviation as inputs. The GTO algorithm is used to optimize the input weights of the RL controller. The proposed controller is compared with PI and PID controllers, showing favorable results.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Automation & Control Systems
Reza Sepehrzad, Ali Reza Moridi, Mohammad Esmaeil Hassanzadeh, Ali Reza Seifi
Summary: A control strategy based on PSO and energy management algorithms was proposed to optimize power distribution in the micro-grid and improve its reliability and control levels.
Article
Energy & Fuels
Andrew J. Hutchinson, Daniel T. Gladwin
Summary: This paper presents a detailed techno-economic analysis of hybrid systems' control strategies in providing frequency response services. It identifies three strategies with the most potential and provides the novel range of prices that flywheel manufacturers need to achieve for viability in this field.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Ahmed M. Taher, Hany M. Hasanien, Shady H. E. Abdel Aleem, Marcos Tostado-Veliz, Martin Calasan, Rania A. Turky, Francisco Jurado
Summary: This study presents a novel application of transient search optimization (TSO) in combination with model predictive control (MPC) to solve the load frequency control (LFC) problem in multiple zone power networks with renewable generators and storage devices. The TSO-MPC controller outperforms other optimization techniques by >10% in transient specifications and significantly enhances the transient response of the power system.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Automation & Control Systems
Reza Sepehrzad, Ali Reza Moridi, Mohammad Esmaeil Hassanzadeh, Ali Reza Seifi
Summary: A control strategy based on PSO and energy management algorithms was proposed to optimize power distribution in the micro-grid and improve its reliability and control levels.
Article
Engineering, Electrical & Electronic
Reza Sepehrzad, Mohammad Esmaeil Hassanzadeh, Ali Reza Seifi, Mahnaz Mazinani
Summary: This paper presents a multilevel control method in two layers of micro-grids, utilizing distributed maximum power point tracking for photovoltaic systems and hybrid energy storage system for distributed generation sources. The control strategies for power and voltage regulation in both downstream and upstream grids are discussed, with detailed explanations on how DC/DC battery-converter with DMPPT and HESS are used. Simulations were conducted using MATLAB/Simulink to validate the proposed control method.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Reza Sepehrzad, Mostafa Khojasteh Rahimi, Ahmed Al-Durra, Mehdi Allahbakhshi, Alireza Moridi
Summary: In this paper, an adaptive virtual impedance control method based on the multi-objective particle swarm optimization algorithm is proposed for voltage and frequency control of micro-grids, aiming to achieve proportional power distribution. The proposed method demonstrates optimal performance in different operating conditions.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Reza Sepehrzad, Javid Ghafourian, Atefeh Hedayatnia, Ahmed Al-Durrad, Mohammad Hassan Khooban
Summary: This study presents the energy management and control strategy in an isolated DC microgrid with renewable energy sources and battery storage units. The proposed model is based on sequential distributed energy management and multiple dynamic matrix model predictive control algorithm (MDMMPC). The algorithm is implemented for power control and management, considering generation prioritization and minimal communication. Simulation results show the effectiveness of the strategy in different scenarios. The experimental setup demonstrates the simplicity, rapidity, ease of operation, and distributed control scheme.
JOURNAL OF ENERGY STORAGE
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Reza Govahian Jahromi, Ali Reza Seifi
2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2016)
Article
Engineering, Electrical & Electronic
Ehsan Rahmkhoda, Jawad Faiz, Moein Abedini
Summary: This paper investigates the failures and errors of loss-of-excitation (LOE) protection and proposes an intelligent method combined with a learning vector quantization (LVQ) neural network. The simulation results demonstrate that the proposed algorithm can detect LOE conditions quickly and prevent stresses applied to the machine and power system.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Andre M. Garcia, Leonardo H. Macedo, Ruben Romero
Summary: This article presents a specialized scatter search algorithm to solve the optimal transmission switching problem considering voltage control, and its efficiency is validated through tests.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Adel F. Alrasheedi, Khalid A. Alnowibet, Ahmad M. Alshamrani
Summary: This paper studies the bidding strategy problem of microgrid in a day-ahead electricity market. The DA electricity prices, demand, and uncertainties are modeled using different scenarios and robust optimization. A smart predict-and-optimize methodology is proposed, where a cost-oriented prediction model is used to replace accuracy-oriented methods. The trilevel mathematical programming approach is utilized to construct a cost-oriented model and solve the problem.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Depin Lv, Qiusheng Yu, Xiaoyong Wang, Yulian Bo, Yongjing Wei, Lei Liu, Pu Zhang, Yan Zhang, Wensheng Zhang
Summary: This study proposes a method based on the MHA-CNN framework to monitor the operation status of the smart grid and power communication network coupling. The method utilizes HHT to extract features from operational data and employs MHA to extract key feature information from fault data, achieving faster fault detection speed and higher detection probability.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Tao Zhang, Zhiguo Hao, Hongyue Ma, Songhao Yang, Chongtao Li
Summary: This paper introduces a dominant mode identification (DMI) method to assess the stability of grey-box grid-tied converters. The method analyzes the critical eigenvalues and can be applied to different grid connection scenarios.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Aamir Nawaz, Hongtao Wang, Huiting Yang, Hammad Armghan, Jiechao Gao
Summary: This paper presents a risk constrained probabilistic problem framework for addressing the challenges of stochastic dispatching due to contingencies and the integration of renewable sources. By utilizing probabilistic analytical target cascading, polynomial chaos expansion, and benders decomposition algorithm, the proposed method reduces computational burden and improves efficiency.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Thongchart Kerdphol, Issarachai Ngamroo, Tossaporn Surinkaew
Summary: This paper introduces an enhanced robust H-infinity technique to improve the regulation performance and cyber resiliency of secondary frequency control in a microgrid. The study shows that cyber-attacks affect different elements of secondary frequency control in the microgrid depending on the type of attack used.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Sambeet Mishra, Praveen Prakash Singh, Ivar Kiitam, Muhammad Shafiq, Ivo Palu, Chiara Bordin
Summary: This study aims to analyze partial discharge events in high-voltage cables and extract patterns and trends. The results indicate a positive correlation between the number of PD events and the increase in voltage levels, with negative PD peaks being more frequent at lower stress levels.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Cleberton Reiz, Jonatas B. Leite, Clara S. Gouveia, Mohammad Sadegh Javadi
Summary: This research proposes a bilevel method to simultaneously solve the allocation and coordination problems in microgrid protection, considering local devices. The results show that solving these problems simultaneously can save costs and select the optimal solution.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Rasha Elazab, M. Ser-Alkhatm, Maged A. Abu Adma, K. M. Abdel-Latif
Summary: This paper proposes a two-layer methodology for the allocation and sizing of SVCs in radial distribution systems. The Power Loss Index (PLI) is used to choose the best candidate buses for allocating SVCs, and a two-stage stochastic programming algorithm is proposed to solve the sizing problem. The advantages of combining SVCs and the PV inverter's reactive power provision ability are also analyzed.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Samreen Javaid, Dongyu Li, Abhisek Ukil
Summary: This paper introduces a new algorithm based on high pass filter for traveling wave fault location, which can differentiate the peak value of the traveling wave more easily by removing oscillation in the signal. The algorithm is tested on a DC simulation model and executed in MATLAB environment, achieving high accuracy in fault location results. Compared with traditional methods, this algorithm shows higher accuracy and faster response.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Enzhe Wang, Xiangrong Chen, Hanshan Zhu, Kai Yin, Muhammad Awais, Ashish Paramane
Summary: This paper aims to reduce the power loss of tunnel cable systems by using different grounding and loss reduction methods. The case study of the submarine tunnel power cable project in Ningbo-Zhoushan, China is considered. The nodal admittance matrices of the cable are established using the telegraph equation, and the cascading algorithm is used to analyze the induced voltage and circulating current in the cable sheath, taking into account the presence of grounding node. The study finds that coordinating the amplitude and phase angle of series impedance can reduce the power loss of the cable system.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Ziwei Ma, Jasronita Jasni, Mohd Zainal Abidin Ab Kadir, Norhafiz Azis
Summary: A numerical model was developed to analyze lightning attachment on UHV-AC double-circuit transmission lines. Simulation results showed that upward leaders simultaneously occurred on the ground wire and the upper-phase conductor when the phase conductors were energized. A new expression for calculating the striking distance on the ground wire was proposed based on the simulation results. Additionally, high voltage, phase angle, and terrain slope were found to increase the surface electric field of the upper-phase conductor.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Kunal Kumar, Susmita Kar
Summary: This paper presents an efficient protection scheme utilizing the rate of change parameter to detect both shunt faults and high impedance faults. By comparing with the existing scheme and testing on the IEEE 13 Bus test system, the effectiveness of the proposed scheme is demonstrated.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Cheng Che, Bangbang He, Zhixuan Gao, Qiwei Lu, Yang Chen, Zhifeng Wang, Jinghan Guo, Yanwen Wang
Summary: A low-cost hybrid railway power conditioner (HRPC) technology scheme is proposed in this paper to effectively compensate negative sequence current (NSC) of the V/v traction system and reduce the capacity and cost of the railway power conditioner (RPC). The proposed HRPC combines an RPC with a modular multilevel converter structure (MMC-RPC) and a railway static var compensator (RSVC) and considers regenerative braking energy in the compensation process.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)