Article
Engineering, Electrical & Electronic
Behnam Amini, Reza Roshanfekr, Ahmad Hajipoor, Seyyed Yousef Mousazadeh Mousavi
Summary: The introduction of a fractional proportional-resonant controller (FPR) in this article aims to enhance the power quality and stability of microgrid (MG) by reducing voltage and current harmonics of distributed generator (DG) interfacing inverters. The proposed controller is optimized using particle swarm optimization (PSO) algorithm for better performance under non-linear load conditions in a simulated microgrid scenario. The results show a reduction in total harmonic distortion (THD) of the inverter output voltage.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Automation & Control Systems
Jing Zhao, Zhixiong Zhong, Chih-Min Lin, Hak-Keung Lam
Summary: This study introduces a control strategy that combines an adaptive wavelet-type TSK fuzzy brain emotional learning controller and an H∞ robust tracking compensator, ensuring robust tracking performance of the control scheme.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Civil
Kaushik Halder, Lee Gillam, Shilp Dixit, Alexandros Mouzakitis, Saber Fallah
Summary: This paper proposes a discrete time distributed state feedback controller design strategy for a homogenous vehicle platoon system with undirected network topology. The system is resilient to external disturbances and random consecutive network packet drop. The control strategy ensures internal stability and performance by incorporating a distributed state feedback controller design and satisfying bounded H-infinity norm using Lyapunov-Krasovskii based LMI approach. The effects of packet drops on internal stability and variation of stability margin for different network topologies are studied.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
Yunfei Wu, Jianfeng Liu, Jian Zhou
Summary: This paper proposes a joint frequency regulation strategy that combines doubly-fed pumped-storage units (DFPSU) and thermal power units (TPU), aiming to reduce the frequency regulation pressure on the grid caused by the large-scale entry of new energy sources. The optimal scheduling model is established, and a chaotic particle swarm optimization (CPSO) algorithm is proposed to solve the model. MATLAB simulation results demonstrate that the proposed strategy effectively improves the frequency regulation performance of the unit and ensures good operation economy.
Article
Automation & Control Systems
Renan L. Pereira, Matheus S. de Oliveira
Summary: This paper presents a novel control method based on linear fractional representation (LFR) to obtain a mixed-sensitivity controller for discrete-time linear parameter-varying (LPV) systems. The proposed method combines parameter-dependent Lyapunov functions with static full-block multipliers and slack variables to achieve less conservative results compared to other control strategies. The distinctive controller is established using the observer-based control structure, considering both H-2 and L-2 performance indexes and exploring factorization contractiveness. The output feedback controller is synthesized through two steps and its design conditions are expressed in terms of a finite number of linear matrix inequalities. The effectiveness of the proposed control method is demonstrated through two numerical examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Mathematics, Applied
Valiollah Ghaffari, Saleh Mobayen
Summary: This paper presents a robust H-infinity integral control scheme for a class of nonlinear uncertain systems, achieving disturbance rejection and set-point regulation through state-feedback design and utilizing LMI-based controller synthesis. The controller gains are numerically calculated by solving LMIs, and the method's efficiency is demonstrated in a numerical example by comparing disturbance attenuations and transient performance in none-zero regulation scenarios.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Energy & Fuels
Mohammed Said Jouda, Nihan Kahraman
Summary: This article focuses on optimizing the power response in a microgrid, including improving power sharing response and enhancing voltage and frequency stability. It proposes a self-tuning control method using the H-infinity method improved with the artificial bee colony algorithm for optimized droop control. The results are compared with other algorithms to validate the effectiveness of the optimization algorithm.
Article
Energy & Fuels
Maher G. M. Abdolrasol, M. A. Hannan, S. M. Suhail Hussain, Taha Selim Ustun
Summary: This paper presents an inverter controller utilizing Sinusoidal Pulse Width Modulation (SPWM) to control the modulation index of a three-phase off-grid system. The controller's performance is improved using Particle Swarm Optimization (PSO) algorithm to automatically adjust its parameters and reduce the error in the Proportional Integral (PI) controller. The simulation results demonstrate that the modulation index controller reduces the Total Harmonic Distortion (THD) after optimizing the PI controller parameters, indicating its effectiveness and robustness.
Article
Robotics
Seoung Kyou Lee
Summary: This study presents a cohesive configuration controller for distributed space coverage by a swarm of robots. The controller integrates two different algorithms to build a dense and convex network that is robust against disconnection, even with incomplete knowledge about the network.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Energy & Fuels
Kifayat Ullah, Jaroslaw Guzinski, Adeel Feroz Mirza
Summary: This article provides an overview of different robust control techniques for PMSMs and reviews the implementation of a speed controller. Based on comparative analysis, the development trend of different control technologies used for a PMSM speed regulation system is summarized.
Article
Engineering, Electrical & Electronic
Hao Zuo, Yun Teng, Songqing Cheng, Peng Sun, Zhe Chen
Summary: This study proposes a voltage optimization control method based on the coordination of battery storage, heat storage, and gas storage to solve the problem of grid voltage fluctuation in multi-energy systems. By establishing a coupling model and studying the influence mechanism, a collaborative optimization model of distributed energy storage is established, and a coordinated operation strategy is proposed. The proposed method is verified through an example, showing its effectiveness in improving grid voltage stability.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Donghyeon Lee, Seungwan Son, Insu Kim
Summary: There is a growing interest in environmental issues, leading to studies on the impact of distributed generation from renewable energy sources on the electric power grid. This study presents an algorithm that determines the location and capacity of distributed generation, considering voltage control, line losses, and economic aspects. Case studies validate the effectiveness of the proposed method in finding optimal locations and capacity for distributed generation, with considerations for voltage control and economic factors.
Article
Green & Sustainable Science & Technology
Mohammed A. Alghassab, Ahmed M. M. Nour, Ahmed Y. Hatata, Bishoy E. Sedhom
Summary: Voltage violation is a major concern in distribution networks with single-phase distributed photovoltaic sources. This paper proposes a two-level control scheme to suppress overvoltage, undervoltage, and voltage unbalance in the network. The first controller adjusts battery systems in distributed PV sources to alleviate voltage unbalance, while the second controller selects the appropriate taps of the distribution transformer's on-load tap changer. The proposed control scheme effectively mitigates voltage violations and avoids excessive battery currents and extreme tap changes.
IET RENEWABLE POWER GENERATION
(2023)
Article
Energy & Fuels
Subrat Kumar Pradhan, Dushmanta Kumar Das
Summary: This work presents a control approach based on sliding-mode-control (SMC) to design robust H-infinity state feedback controllers for load frequency regulation of delayed interconnected power system (IPS) with parametric uncertainties. Two SMC laws are proposed considering both state feedback control strategy and delayed feedback control strategy. The proposed control laws aim to improve the stability and disturbance rejection performance of delayed IPS, while stabilization criteria in the form of linear matrix inequality are derived by choosing a Lyapunov-Krasovskii functional. An artificial time-delay is incorporated in the control law design of the delayed feedback control structure to enhance the controller performance.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Haris Calgan, Metin Demirtas
Summary: This study presents several optimal controllers for regulating the terminal voltage of a stand-alone self-excited induction generator (SEIG) and introduces a hybrid controller combining LQR and Fractional Order Proportional Integral Derivative (LQR-(FOPID mu)-D-lambda) to achieve the best tracking dynamics and robustness. Experimental results demonstrate that the robust LQR-(FOPID mu)-D-lambda controller outperforms others in terms of tracking dynamics, overshoot, settling time, and robustness against external disturbances and sensor noises.
ELECTRIC POWER SYSTEMS RESEARCH
(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)