Article
Automation & Control Systems
Shuaibing Zhu, Jin Zhou, Jun-An Lu
Summary: In this article, the authors estimate the region of attraction on controlled complex networks with time-varying delay. A delay-independent estimation method is derived that can handle general delay but may result in conservatism. To reduce conservatism, a delay-dependent estimation method is established for networks with small delay using a new technique. Numerical simulations are provided to verify the results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Chao Zhai, Hung D. Nguyen
Summary: A novel framework for constructing the region of attraction (ROA) of a power system centered around a stable equilibrium is introduced in this study. By leveraging the converse Lyapunov theorem in control theory and learning unknown Lyapunov functions with the Gaussian process (GP) approach, the limitations of relying on analytic Lyapunov functions are overcome. Additionally, a GP upper confidence bound (GP-UCB)-based sampling algorithm is designed to balance the tradeoff between exploration and exploitation when enlarging the ROA. This approach guarantees that the system state will converge to the stable equilibrium within the constructed ROA with a certain probability and confidence level.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Automation & Control Systems
Bhanu Babaiahgari, Yeonho Jeong, Jae-Do Park
Summary: For DC microgrids with constant power loads, using a dynamic stabilizer to control the stability region can ensure stable operation during transient states, with features such as simplicity, low power consumption, and robustness to parameter variations.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Jianzhe Liu, Yichen Zhang, Antonio J. Conejo, Feng Qiu
Summary: DC microgrids have potential applications in renewable integration, but the negative impedance effect of constant power loads (CPLs) can lead to instability. This paper proposes an innovative control synthesis algorithm to guarantee a theoretically guaranteed region of attraction (ROA) for a general DC microgrid, covering its entire operating range.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Zhenxi Wu, Hua Han, Zhangjie Liu, Mei Su, Yao Sun, Xin Zhang, Peng Wang
Summary: To ensure stability in power systems when faced with sudden load changes or contingencies, it is crucial to estimate the region of attraction (ROA). This letter proposes a novel method for ROA estimation in DC microgrids with constant power loads (CPLs). The proposed method offers a significant advantage of reducing computations, making it applicable for large-scale DC power grids. The feasibility of the method is finally demonstrated through case studies.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Energy & Fuels
Amir Habibzadeh, Mahmoud Samiei Moghaddam, Seyyed Javad Mohammadi Baygi, Soheil Ranjbar
Summary: This paper presents an online index for adaptive protection of microgrids concerning the low inertia concept, utilizing a three-step approach to consider offline and online environments, and validating the effectiveness of the proposed protection scheme.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Guozheng Wang, Yiran Jing, Jianbo Guo, Qinglai Guo, Shicong Ma, Tiezhu Wang
Summary: This paper explores the security analysis of power systems based on dynamic security region (DSR) and investigates the relationship between security margin and stability margin, as well as the geometric characteristics of security margin. The obtained conclusions are verified through simulations on multiple test systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Automation & Control Systems
Ambuj Pandey, Soumya R. Mohanty, Rabindra Mohanty
Summary: This article presents a unit protection scheme for bipolar dc microgrids that is resilient to cyber attacks. The proposed method uses current measurement of both ends of the protected line segment to distinguish between internal faults and cyber attacks. The concept of symmetrical component decomposition is used to obtain the bias, unbalance, and balance components during an unbalance condition. The performance of the proposed method is tested for various conditions, including the detection of internal and external high resistance faults, fault type classification, change in load, distinguishing between different faults, and cyber attacks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Green & Sustainable Science & Technology
Qinjin Zhang, Heyang Yu, Yancheng Liu, Youtao Zhao, Yuanting Hu, Yuji Zeng, Haoze Huang, Hao Chen
Summary: This paper presents a novel consensus-based State of Charge (SoC) dynamic equilibrium strategy to solve the issues of unbalanced SoC, imprecise load power distribution, and unreasonable bus voltage regulation for the Battery Energy Storage System (BESS) in DC microgrids with Distributed Sustainable Energy Generation (DSEG).
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
Yan Yang, Lilian Huang, Jianhong Xiang, Han Bao, Houzhen Li
Summary: This study aims at designing multi-wing 3D chaotic systems with hidden attractors, utilizing rotation symmetry and multiple covers to generate multiple symmetric stable equilibrium points and chaotic attractors. Through bifurcation diagrams and attraction basins, the research shows that multi-wing chaotic attractors always coexist with stable point attractors.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Lili Jia, Changyou Wang, Xiaojuan Zhao, Wei Wei
Summary: This paper studies a fuzzy system with a sequence of positive fuzzy numbers and fuzzy parameters. It proves the existence and uniqueness of positive fuzzy solutions for the system, and investigates the dynamic behavior of the equilibrium points using fuzzy set theory and linearization method. The results are simulated using MATLAB software, which not only demonstrate the dynamic behavior of the solutions, but also verify the effectiveness of the proposed results.
Article
Engineering, Electrical & Electronic
Shengxin Sun, Chenyu Tang, Da Xie, Chenghong Gu, Yanchi Zhang
Summary: This paper derives a global discrete iterative model and its explicit Jacobian matrix in polynomial form using second-order Taylor series expansion based on the Pioncare map, to detect the nonlinear instability behavior for DC microgrids.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Mechanical
Xianbin Wang, Reza Langari, Yulong Pei, Zhipeng Li, Weifeng Li
Summary: The paper proposes an algorithm that combines Genetic Algorithm, Sequential Quadratic Programming, and Continuation Method to solve the equilibrium points of a multi-degree-of-freedom vehicle nonlinear system. The algorithm's effectiveness is demonstrated by applying it to search for equilibrium points of a 5-degree-of-freedom (5DOF) nonlinear vehicle model, which considers both longitudinal and lateral motion. The impact of the driving effect on the equilibrium points bifurcation is also investigated.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Chenke Yue, Yong Wang, Xintong Tang, Qiuyi Chen
Summary: This paper proposes a new method for processing point cloud data called Dynamic Region Graph Convolution. By constructing dynamic graphs and selecting receptive fields, point cloud data can be effectively processed, improving recognition accuracy and robustness.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Energy & Fuels
Satyavarta Kumar Prince, Kaibalya Prasad Panda, R. T. Naayagi, P. Sanjeevikumar, Baseem Khan, Shaik Affijulla, Gayadhar Panda
Summary: This paper discusses the protection challenges in DC microgrids caused by the integration of distributed energy supplies, converters, and storage units. It presents a systematic approach to address these challenges and highlights the importance of the protection system in DC microgrids.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Green & Sustainable Science & Technology
Farhad Elyasichamazkoti, Farrokh Aminifar, Mahdi Davarpanah
Summary: This paper introduces a novel digital filter as a grid synchronization method, which shows more prominent dynamic performance in non-ideal sinusoidal situations and overcomes the drawbacks of conventional PLLs under harmonic distorted and unbalanced cases, as well as large delay of window-based digital filters.
IET RENEWABLE POWER GENERATION
(2021)
Article
Green & Sustainable Science & Technology
Zahra Bagheri, Meysam Doostizadeh, Farrokh Aminifar
Summary: This paper proposes a receding horizon data-driven chance-constrained energy flexibility trading framework for active distribution networks with multiple MGs. The energy flexibility is modelled using flexibility envelope notion to demonstrate its dynamics in different scenarios in an imminent horizon. An iterative decentralized algorithm is developed to achieve the NE strategy of MGs in the proposed framework.
IET RENEWABLE POWER GENERATION
(2021)
Article
Engineering, Electrical & Electronic
Fargol Nematkhah, Shahab Bahrami, Farrokh Aminifar, Joao P. S. Catalao
Summary: Transactive energy (TE) is proposed as a framework to address the load-generation mismatch in high penetration renewable energy systems. The framework includes online appliance scheduling and a TE market to optimize operation schedules and reduce power consumption to tackle real-time power shortage. Extensive simulations demonstrate the efficiency of the proposed TE framework.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Adel Heidari-Akhijahani, Amir Safdarian, Farrokh Aminifar
Summary: With the proliferation of single-phase rooftop photovoltaic panels, the issue of phase balancing in low voltage distribution feeders has become a concern. This paper proposes an optimization model for phase identification problem, which aims to minimize the error between estimated and measured variables. The model utilizes Benders decomposition to handle the large-scale problem and is formulated using mixed integer linear programming.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Seyed Amin Sedgh, Meysam Doostizadeh, Farrokh Aminifar, Mohammad Shahidehpour
Summary: This paper presents an optimized recovery strategy for enhancing the resilience of distribution systems by dispatching mobile power sources and forming micro-grids to maximize the restoration of critical loads. The use of a receding horizon framework and two-stage optimization helps address problem uncertainties, and charging capability for rechargeable power sources is included in the recovery framework. Case studies have demonstrated the effectiveness of this framework in situations with significant levels of incomplete information.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Masood Mottaghizadeh, Farrokh Aminifar, Turaj Amraee, Majid Sanaye-Pasand
Summary: The paper presents an effective robust fuzzy model predictive control (RFMPC) method for secondary voltage control in islanded microgrids (mu Gs). Unlike existing methods, RFMPC can handle non-linear models with various time delays, uncertainties, and bounded disturbances. By computing a sequence of control laws offline, online stage computational burden is significantly reduced.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Engineering, Electrical & Electronic
Narges Ehsani, Farrokh Aminifar, Hamed Mohsenian-Rad
Summary: This study utilizes convolutional autoencoders for anomaly detection in distribution systems, extracting information directly from measured data without preprocessing or feature extraction. A convolutional neural network classifier is also developed to identify the type of anomaly. Evaluation on various operating conditions, presence of noise, and different scenarios of DPMU outage confirms the effectiveness of this approach in practical conditions.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Engineering, Electrical & Electronic
Feifan Shen, Qiuwei Wu, Xiaolong Jin, Menglin Zhang, Saeed Teimourzadeh, Osman Bulent Tor
Summary: The proposed coordination scheme combines price signals and incentive-based flexibility service products to efficiently manage congestion in distribution networks, ensuring the distribution system operator remains profit neutral while resolving congestion effectively.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Hossein Ebrahimi, Amin Yazdaninejadi, Sajjad Golshannavaz, Saeed Teimourzadeh
Summary: This paper presents a new protection scheme for inverter-based distributed generations (IBDGs) by developing a voltage index and introducing a new characteristic. Numerical studies show that the proposed method improves the energy-not-supplied index while meeting voltage protection and selectivity requirements.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Farhad Elyasichamazkoti, Saeed Teimourzadeh, Farrokh Aminifar
Summary: This letter presents a mathematical model for distributing under-frequency load shedding across power system load points, aiming to maintain the system operating point as close as possible to the pre-contingency state. It is shown that an even distribution across load points is optimal when the number of credible contingencies exceeds the load shedding candidates.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Hassan Yazdani, Meysam Doostizadeh, Farrokh Aminifar
Summary: This paper presents a systematic framework for real-time trading in prosumer communities, which includes a robust optimization model, machine learning forecasts, and decentralized peer matching. By using high quality forecasts and flexibility requirement envelope, this framework can provide accurate trading results and reduce system costs.
IET RENEWABLE POWER GENERATION
(2023)
Article
Engineering, Electrical & Electronic
Mahmoud Taheri, Moein Abedini, Farrokh Aminifar
Summary: With the ever-increasing complexity of power systems, maintaining dynamic stability has become a crucial challenge. This article introduces a data-driven UVLS scheme that utilizes time series forecasting and neural networks to enhance short-term voltage stability. A novel dynamic index called STVI is also introduced to quantify the severity of fault-induced delayed voltage recovery events.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Engineering, Electrical & Electronic
Ali Arjomandi-Nezhad, Moein Moeini-Aghtaie, Mahmud Fotuhi-Firuzabad, Farrokh Aminifar
Summary: Natural disasters pose a threat to the sustainability of electric power supply, with drones playing a crucial role in post-disaster damage assessment. An optimization model is presented to determine the optimal number and type of drones to minimize assessment time within budget constraints, confirming the balance between speed and cost as the best allocation strategy.
Review
Energy & Fuels
Farrokh Aminifar, Moein Abedini, Turaj Amraee, Peyman Jafarian, Mohammad Hamed Samimi, Mohammad Shahidehpour
Summary: Power system protection and asset management have long been areas of interest for researchers, but they face unresolved technical challenges. The integration of renewable energy, climate change, cyberattacks, and limited investments have further complicated the situation, while advanced technologies such as machine learning offer unprecedented opportunities. However, there are still barriers and challenges to the widespread application of these techniques in real-world practices.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
(2022)
