Article
Computer Science, Artificial Intelligence
Ozgur Akgun, Alan M. Frisch, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale
Summary: Automating the modelling process is crucial for solving combinatorial problems efficiently. This paper presents a method to automatically generate constraint models from a problem specification in the ESSENCE language. The approach incrementally refines the specification into a concrete model by applying a chosen refinement rule at each step. Breaking modelling symmetries during refinement eliminates the need for an expensive symmetry detection step. The empirical results confirm the effectiveness of the proposed method.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Multidisciplinary
Salah K. ElSayed, Ehab E. Elattar
Summary: This paper introduces a new hybrid algorithm that combines Harris hawks' optimization with sequential quadratic programming for optimal coordination of directional overcurrent relays. The algorithm outperforms recent meta-heuristic techniques in this field.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Jimmy H. M. Lee, Allen Z. Zhong
Summary: This paper proposes a theoretical and practical framework for automatically generating dominance breaking constraints for a class of Constraint Optimization Problems (COPs) with efficiently checkable objectives and constraints. The proposed method can generate nogoods of varying strengths for dominance breaking by controlling the number of involved variables. The experimentation on various benchmarks demonstrates the effectiveness of the proposal in both efficiency and ease of use.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Lin Li, Rongxiang Guo, Pengfei You, Jingjing Bai, Pei-Yuan Qin, Yanhui Liu
Summary: A new method called alternating sequential quadratic programming is proposed for synthesizing pattern-reconfigurable sparse linear arrays. The method can find common element positions and multiple sets of excitations, generating reconfigurable patterns that meet given upper and lower pattern bounds. By incorporating the minimum element spacing constraint, the method saves more elements while maintaining satisfactory performance.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Chan Beom Park
Summary: The calculation of M-2 variables involves solving a constrained minimization problem in mathematical optimization using numerical algorithms. The sequential quadratic programming method is found to perform very well for this task, even outperforming the existing software package implementation.
COMPUTER PHYSICS COMMUNICATIONS
(2021)
Article
Computer Science, Software Engineering
Sen Na, Mihai Anitescu, Mladen Kolar
Summary: In this paper, we propose a stochastic algorithm based on sequential quadratic programming (SQP) for solving nonlinear optimization problems with a stochastic objective and deterministic equality constraints. We introduce a differentiable exact augmented Lagrangian as the merit function and incorporate a stochastic line search procedure to adaptively select the random stepsizes. The global almost sure convergence for both non-adaptive and adaptive SQP methods is established. Numerical experiments demonstrate the superiority of the adaptive algorithm.
MATHEMATICAL PROGRAMMING
(2023)
Article
Engineering, Electrical & Electronic
Suna Pan, Kehu Yang, Mingzhe Wu, Xiongfeng Li, Jiawen Wang, Yun Wei Li, Wensheng Yu
Summary: In this article, a novel switching frequency-minimized harmonic mitigation (SFMHM) model is proposed to regulate N-1 harmonics with far less than N switching angles. By adjusting threshold values, the model achieves both harmonic elimination and mitigation objectives. The switching frequency is expressed as a quadratic objective function and the objectives are realized through numerical approximations of Fourier coefficients and an optimization model with binary variables, easily solved using optimization toolboxes such as YALMIP. Comparisons with conventional methods show significant reduction in the required number of switching angles and a notable decrease in switching frequency by up to 40% for certain modulation indexes. Simulations and experiments validate the proposed SFMHM model.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Optics
Ying Zhao, Hong Qi, Ya-Tao Ren, Ming-Jian He, Bao-Hai Gao, Wen Cheng
Summary: The reconstruction of optical parameters is of great research significance and practical value in biological tissue functional imaging, and has received increasing attention in the field of medical diagnosis and treatment. This paper proposes an improved sequential quadratic programming method to overcome the difficulties in the reconstruction process and achieve high accuracy and efficiency in estimating target parameters, with good robustness. Additionally, a time-frequency coupling model is constructed and demonstrated in a biological tissue-like medium model, showing its practical significance.
OPTICS AND LASER TECHNOLOGY
(2024)
Article
Computer Science, Interdisciplinary Applications
Yongxue Chen, Yaoan Lu, Ye Ding
Summary: This paper presents an optimization method for directly generating a six-degree-of-freedom toolpath for robotic flank milling. By optimizing the smoothness of the toolpath and the stiffness of the robot, the efficiency, accuracy, and finish of the machining are improved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Software Engineering
Sen Na, Mihai Anitescu, Mladen Kolar
Summary: We propose an active-set stochastic sequential quadratic programming (StoSQP) algorithm for solving nonlinear optimization problems with a stochastic objective and deterministic constraints. The algorithm uses a differentiable exact augmented Lagrangian as the merit function and adaptively selects penalty parameters. It has been shown to have global convergence and outperforms previous work in terms of nonlinear inequality constraints and sample complexity.
MATHEMATICAL PROGRAMMING
(2023)
Article
Computer Science, Interdisciplinary Applications
Liang Fang, Stefan Vandewalle, Johan Meyers
Summary: Multiple shooting methods have been rapidly developed as a promising approach to optimize the solution to optimal control problems. In this study, we propose a new multiple shooting algorithm based on a sequential quadratic programming method, which is suitable for large-scale time-dependent PDEs. We analyze the KKT matrix structure and solve the large-scale KKT system using a preconditioned conjugate gradient algorithm. The algorithm is validated on two control problems and achieves considerable accelerations compared to single shooting approaches.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Engineering, Electrical & Electronic
John W. Simpson-Porco
Summary: This study reexamines and criticizes the classical area control error concept in automatic generation control, proposing a new error signal called the area injection error that improves AGC performance by directly measuring generator power levels. The analysis concludes that effective frequency biasing in a common textbook implementation of AGC is larger than intended, leading to unintended interaction between control areas. Simulations on a detailed two-area test system validated the proposed theory.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Libin Hong, Xinmeng Yu, Guofang Tao, Ender Ozcan, John Woodward
Summary: In this study, two novel mechanisms were proposed and integrated into particle swarm optimization to enhance the local search capability. By adjusting the subpopulation ratio and utilizing sequential quadratic programming, significant improvement was achieved. Experimental results showed impressive performance compared to state-of-the-art algorithms.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Automation & Control Systems
Jose C. Rojas-Rodriguez, Ana Y. Aguilar-Bustos, Eusebio Bugarin
Summary: In this paper, a Sequential Convex Programming (SCP) algorithm is proposed for motion generation of legged robots. The algorithm overcomes the nonconvexity of the problem by using a sequential bounds tightening strategy based on McCormick envelopes. The SCP algorithm solves a quadratic program at each iteration and is combined with an inverse kinematics algorithm for whole body motion generation. Numerical experiments demonstrate the effectiveness of the proposed algorithm in generating highly agile motions for humanoid and quadruped robots.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2023)
Article
Mathematics, Applied
Albert S. Berahas, Frank E. Curtis, Daniel Robinson, Baoyu Zhou
Summary: Sequential quadratic optimization algorithms are proposed to solve smooth nonlinear optimization problems with equality constraints, especially focusing on cases where constraint functions are deterministic. The algorithm uses a stepsize selection scheme based on Lipschitz constants for deterministic settings.
SIAM JOURNAL ON OPTIMIZATION
(2021)
Article
Engineering, Electrical & Electronic
Emad Nematbakhsh, Rahmat-Allah Hooshmand, Reza Hemmati
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Mohammad Reza Kaveh, Rahmat-Allah Hooshmand, Seyed M. Madani
APPLIED SOFT COMPUTING
(2018)
Article
Engineering, Electrical & Electronic
Yaser Raeisi Gahrooei, Amin Khodabakhshian, Rahmat-Allah Hooshmand
IEEE TRANSACTIONS ON POWER SYSTEMS
(2018)
Article
Engineering, Electrical & Electronic
Mohsen Zare, Rasoul Azizipanah-Abarghooee, Rahmat-Allah Hooshmand, Mostafa Malekpour
IET GENERATION TRANSMISSION & DISTRIBUTION
(2018)
Article
Engineering, Electrical & Electronic
Mohammad Hadi Andishgar, Eskandar Gholipour, Rahmat-Allah Hooshmand
IET GENERATION TRANSMISSION & DISTRIBUTION
(2018)
Article
Engineering, Electrical & Electronic
Ali Khorasani Ferdavani, Rahmat-Allah Hooshmand, Hoay Beng Gooi
IET GENERATION TRANSMISSION & DISTRIBUTION
(2018)
Article
Green & Sustainable Science & Technology
Mohammad Hossein Oboudi, Rahmat-Allah Hooshmand, Farshad Faramarzi, Mohammad Javad Amroony Boushehri
IET RENEWABLE POWER GENERATION
(2018)
Article
Engineering, Electrical & Electronic
Mohammad Reza Esmaili, Amin Khodabakhshian, Rahmat-allah Hooshmand, Pierluigi Siano
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2018)
Article
Engineering, Electrical & Electronic
Yaser Raeisi-Gahrooei, Amin Khodabakhshian, Rahmat-Allah Hooshmand
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2018)
Article
Thermodynamics
Ebrahim Akbari, Rahmat-Allah Hooshmand, Mehdi Gholipour, Moein Parastegari
Article
Engineering, Electrical & Electronic
Amin Saadat, Rahmat-Allah Hooshmand, Arash Kiyoumarsi, Mahdi Tadayon
IET GENERATION TRANSMISSION & DISTRIBUTION
(2019)
Article
Engineering, Electrical & Electronic
Sasan Ghasemi, Amin Khodabakhshian, Rahmat-allah Hooshmand
IET GENERATION TRANSMISSION & DISTRIBUTION
(2019)
Article
Automation & Control Systems
Masoud Ayoubi, Rahmat-Allah Hooshmand
Article
Green & Sustainable Science & Technology
Mosayeb Bornapour, Rahmat-Allah Hooshmand, Moein Parastegari
Article
Green & Sustainable Science & Technology
Pouya Firouzmakan, Rahmat-Allah Hooshmand, Mosayeb Bornapour, Amin Khodabakhshian
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
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)