Article
Energy & Fuels
Rodolfo V. Rocha, Renato M. Monaro
Summary: This paper investigates the changes in harmonic content of currents caused by faults between stator winding turns in variable-speed synchronous generators connected to three-level converters. Instead of using additional sensors, the currents typically measured for control purposes are utilized. The neutral point current of the converter is also evaluated under generator faults. Encoder-tuned dynamic filters, based on Park transformation and Fourier coefficients, along with low-pass filters, are employed to detect the selected harmonics at variable speeds. The geometric loci of these components are proposed as a method to differentiate between healthy and faulty conditions. Simulation and experimental data are used to assess the sensitivity, selectivity, and detection time of this technique for different fault types, as well as its applicability to other generator models.
Article
Automation & Control Systems
Zahra Masoumi, Bijan Moaveni, Sayed Mohammad Mousavi Gazafrudi, Jawad Faiz
Summary: This article presents a signal-model based fault detection, isolation, and estimation approach for diagnosing RCSAW faults in synchronous generators (SGs) by estimating the eigenvalues. The subspace identification method is used to estimate the state matrix eigenvalues, and a form of the characteristic equation is introduced for fault diagnosis of SGs under linear and nonlinear loads. Stator and field currents and voltages, as well as rotor speed, are used for fault diagnosis. The effectiveness of the proposed method is demonstrated through simulation and experimental results on a salient-pole SG in Iran-Safir (ER24) diesel-electric locomotives.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Dinesh Rangana Gurusinghe, Sachintha Kariyawasam, Dean S. Ouellette
Summary: With the increasing integration of renewable energy resources and FACTs devices, subsynchronous oscillations (SSO) have become more common in electrical power systems. This paper presents a designed and implemented SSO relay model that can effectively detect SSO conditions by extracting sub-synchronous components in system measurements. The performance and security of the developed relay model are validated using electromagnetic transient simulations, and comparison with a commercial SSO relay shows its effectiveness in protecting electrical power systems against SSO conditions.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Salman Rezaei
Summary: The smart grid faces challenges related to sub-synchronous resonance (SSR) in transmission lines, affecting the operation of distance relays and doubly-fed induction generators. An adaptive algorithm based on sub harmonic and ferroresonance detection is proposed to improve smart grid protection strategy and enhance reliability of power electricity. The algorithm is capable of distinguishing between different types of ferroresonance using wavelet transform and neural network, and can take correct decisions to ensure proper operation under SSR conditions.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2021)
Article
Energy & Fuels
Shushu Zhu, Chuang Liu, Kai Wang, Zhou Zhou, Junyue Yu
Summary: In this paper, a double electrical excitation synchronous generator with an embedded brushless exciter is proposed to achieve brushless excitation. By placing additional stator excitation windings in the stator slots with the armature coils, a static magnetic field is generated. There are two sets of windings on the rotor, and the AC voltage induced by the static magnetic field provides DC excitation current for the main excitation winding, enabling excitation of the armature coils.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Computer Science, Information Systems
Yu-Ling He, Yong Li, Wen Zhang, Ming-Xing Xu, Yi-Fan Bai, Xiao-Long Wang, Shan-Zhe Shi, David Gerada
Summary: This paper investigates the impact of inclined static air gap eccentricity (ISAGE) on the electromagnetic characteristics and mechanical performances. Different ISAGE fault types are considered in the theoretical analysis and finite element analysis (FEA) model of synchronous generators. The study analyzes and compares the effects of intersection position, rotor inclined angle, and the combination of fault types on various parameters. Experimental measurements are also conducted to verify the theoretical and FEA results.
Proceedings Paper
Computer Science, Theory & Methods
Christian H. Fernandez Alvarez, Carlota M. Pinos Veintimilla, Flavio A. Quizhpi Palomeque
Summary: This article presents an analysis of the restricted earth fault differential protection using a low impedance scheme, which allows the protection of 3.5 kVA generator windings using an overcurrent relay in a differential structure. The focus is mainly on the configuration and testing of the 7SJ85 overcurrent protection relay with its built-in ANSI 87N, REF protection function. The protection system is configured, parameterized, and operated using OMICRON's CMC 356 and the 7SJ85 relay, along with their respective application software Test Universe and Digsi 5. The values used for testing are based on short-circuit analysis using the IEC 60909 standard and the Complete method.
2022 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC)
(2022)
Article
Engineering, Electrical & Electronic
Minghan Ma, Pengkang He, Yonggang Li, Hongshuo Li, Meng Jiang, Yucai Wu
Summary: This study proposed a method for identifying short circuit faults in the rotor windings of a synchronous condenser using the theory of multi-source information fusion, and verified its feasibility through simulations and experiments. The results showed an increase in confidence level and accuracy of fault recognition in the synchronous condenser upon system commutation failure, providing a reference for identifying weak interturn short circuit faults in synchronous condensers.
IET ELECTRIC POWER APPLICATIONS
(2021)
Article
Energy & Fuels
Yu-Ling He, Ming-Xing Xu, Wen Zhang, Xiao-Long Wang, Peng Lu, Chris Gerada, David Gerada
Summary: This article provides a comprehensive analysis on the end winding vibration characteristics in synchronous generators caused by different stator inter-turn short circuit (SISC) positions. The study reveals that SISC can significantly increase the electromagnetic force and amplify radial vibrations, especially at frequencies of 100 Hz, 200 Hz and 300 Hz. It also shows that the closer the short circuit position is to the minimum air-gap point, the more severe the end winding vibration becomes.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2021)
Article
Automation & Control Systems
Yu-Ling He, Kai Sun, Yu Wu, Hai-Sen Zhao, Xiao-Long Wang, Chris Gerada, David Gerada
Summary: This article presents a comprehensive analysis on the thermal response characteristics of stator winding insulation under static air-gap eccentricity (SAGE) conditions in synchronous generators. The study shows that SAGE significantly increases temperature rise, resulting in uneven temperature distribution and intensifying thermal responses of insulation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Energy & Fuels
Muhammad Faizan Shaikh, Han-ju Kim, Sang Bin Lee, Chaewoong Lim
Summary: Rotor faults in synchronous generators can greatly impact their performance and reliability. However, finding dependable online methods for sensitive fault detection is challenging. This paper proposes a new method based on airgap flux probes to detect and distinguish rotor field winding insulation and eccentricity faults during generator operation, aiming to prevent machine failure.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Automation & Control Systems
Hossein Ehya, Arne Nysveen
Summary: The reliable operation of synchronous generators in hydroelectric power plants is crucial for cost avoidance. The damper winding of salient pole synchronous generators (SPSGs) is an important component for maintaining dynamic stability and protecting the rotor. Current methods for detecting broken damper bar (BDB) faults rely on visual inspection or offline tests. This article proposes a novel method using a noninvasive sensor that can identify BDB faults during transient or steady-state operation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Bin Xiong, Long Zhou, Shuye Ding
Summary: This paper focuses on the neutral grounding problem of large hydro generators, and analyzes the dynamic characteristics of fault current, transient overvoltage, and neutral point voltage drift by establishing a fault model and using transient analysis method. The influence of frequency offset on neutral voltage drift and the fault characteristics under different grounding modes are obtained.
Article
Engineering, Electrical & Electronic
Wen Zhang, Yu-Ling He, Ming-Xing Xu, Wen-Jie Zheng, Kai Sun, Hai-Peng Wang, David Gerada
Summary: This paper presents a comprehensive study on the stator vibration properties in synchronous generators under varied static air-gap eccentricity (SAGE) conditions. The study focuses on the radial magnetic pull and axial unbalanced magnetic pull on the stator, considering both radial and axial SAGE. Results show that the most dangerous position of the stator core is close to the minimum air gap length point.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Chenghan Zhou, Guibin Zou, Shuo Zhang, Maoran Zheng, Junyang Tian, Tao Du
Summary: This paper analyzes the principles and defects of existing fault data self-synchronization methods and proposes an improved method based on mathematical morphology. The effectiveness and improvement of the proposed method are verified through simulation and hardware testing.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Energy & Fuels
Zedequias Machado Alves, Renata Mota Martins, Gustavo Marchesan, Ghendy Cardoso Jr
Summary: This paper proposes a metaheuristic approach based on particle swarm optimization for the allocation and sizing of photovoltaic inverters that perform the complementary functions of PV-STATCOM units. The methodology considers both the daily load curve and generation and is validated based on an exhaustive search algorithm. The proposed methodology demonstrates improved grid voltage profile throughout the day and efficient active power generation by the photovoltaic inverter.
Article
Engineering, Multidisciplinary
Klaus Tesser Martin, Adriano Cavalheiro Marchesan, Olinto Cesar Bassi de Araujo, Ghendy Cardoso, Marcelo Freitas da Silva
Summary: This work proposes a methodology for directional overcurrent protection coordination in interconnected transmission systems considering a possible network contingency state. The methodology utilizes short-circuit data of the current network topology and the maximum load current data in each relay's protection section to achieve adaptive protection and ensure optimal coordination in real-time applications.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Gustavo Marchesan Jr, Aecio de Lima Oliveira, Ghendy Cardoso Jr, Diego Berlezi Ramos, Leyla Kraulich, Larissa Mazzorani, Leonardo de Freitas Silveira
Summary: SWER systems are inadequate for power distribution in remote areas with low density load due to the growing demand and three-phase loads. The TPTW system, which uses the ground as a conductor, is proposed as a low-cost alternative for repowering the SWER system. A method to reduce voltage unbalance by selecting the correct spacing between TPTW system overhead conductors is presented. The method eliminates the need for reactive series compensation and reduces working time and installation costs.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Energy & Fuels
Gian Paramo, Arturo Bretas
Summary: This work introduces a proactive framework for power system frequency stability using Bayesian filters and synchrophasors to predict future states after disturbances are detected. This approach allows for optimal response to disturbances and reduces the amount of compensation needed. The framework is tested via Matlab simulations and outperforms other contemporary solutions by significantly reducing load dropped during compensation.
Article
Engineering, Electrical & Electronic
Augusto Zanin Bertoletti, Ghendy Cardoso Junior, Adriano Peres de Morais, Gustavo Marchesan, Josue Campos do Prado
Summary: In this work, a new fault classification and phase selection methodology for half-wavelength (HWL) transmission lines is developed. The method takes advantage of the decoupled currents in faulted phases, which are expected to vary less than the other phases. The proposed algorithm accurately identifies fault types and faulted phase, even in the presence of inter-harmonics and high-resistance faults, with errors smaller than 0.04%.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Kaynan Maresch, Luiz F. Freitas-Gutierres, Aecio L. Oliveira, Aquiles S. Borin, Ghendy Cardoso, Juliano S. Damiani, Andre M. Morais, Cristian H. Correa, Erick F. Martins
Summary: Acoustic inspection is a valuable technique for early detection of equipment defects, facilitating predictive maintenance. Ultrasonic sensors enable the detection of partial discharges through acoustic sensing. A technique based on zero-crossing rate and fundamental frequency estimation has been proposed to standardize insulator diagnosis.
Proceedings Paper
Computer Science, Artificial Intelligence
Arturo Bretas, Dexin Wang, Orestis Vasios, James Ogle
Summary: Load shedding is performed either manually or automatically. Manual load shedding involves transmission system operators estimating conditions and requesting emergency load shedding, while automatic load shedding is triggered by protection relays based on preset values. However, in the context of renewable energy and faster system dynamics, traditional under-frequency load shedding schemes may generate sub-optimal solutions. This study presents a distributed linear programming model that utilizes phasor measurement unit data to determine optimal load shedding alternatives, showing high potential for real-world applications.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Austin Cooper, Arturo Bretas, Sean Meyn, Newton G. Bretas
Summary: This paper proposes a model for detecting high-impedance faults (HIFs) by utilizing parameter error modeling and a two-step per-phase weighted least squares state estimation (SE) process. The model makes use of phasor measurement units and synthetic measurements to identify power flow and injection measurements that indicate a parameter error through chi(2) Hypothesis Testing applied to the composed measurement error (CME). The study also shows promise in using wide-area power flow and injection measurements for real-world HIF detection applications.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Gian Paramo, Arturo Bretas, Sean Meyn
Summary: This work presents a hybrid data-driven and physics-based framework for detecting high-impedance faults in power systems. It expands and validates an innovative method based on eigenvalue analysis. Phasor Measurement Unit data is used to estimate eigenvalues corresponding to the monitored powerlines, and faults are detected by tracking and evaluating the statistics of these eigenvalues. This technique offers advantages in terms of deployed technology, generality, and sensitivity without sacrificing accuracy, as demonstrated through simulations and encouraging test results.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Proceedings Paper
Energy & Fuels
Alexander Anderson, Arturo Bretas, Dexin Wang, Orestis Vasios, Jeff Carrara, Jason Pew
Summary: The paper presents a conceptual framework for coordinating distributed energy resources in a data-rich environment to ensure optimal adaptive setting of UFLS relays. A novel adaptive UFLS scheme is proposed, and initial simulation results are provided.
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM
(2023)
Proceedings Paper
Energy & Fuels
Arturo Bretas, Mark Rice, Chris Bonebrake, Carl Miller, David McKinnon, Arcadio Veilma
Summary: This paper proposes a bi-level formal model for enhancing situational awareness in smart grids, which improves the ability to detect malicious data through the concepts of synthetic measurements and innovation.
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM
(2023)
Proceedings Paper
Energy & Fuels
Arturo Bretas, Kiana Brown, Varoozhan Hartoonian, Tom McDermott, Jeff Dagle
Summary: Geomagnetic disturbances can disrupt power grid operation and it is important to quantify and analyze the modeling uncertainty associated with them.
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM
(2023)
Proceedings Paper
Energy & Fuels
Austin Cooper, Arturo Bretas, Sean Meyn, Newton G. Bretas
Summary: This paper proposes a non-linear state estimation framework for the future smart grid distribution systems. It aims to enhance the reliability of distribution system state estimation by utilizing micro phasor measurement units (mu PMUs) and supervisory control and data acquisition (SCADA) measurements. The framework also considers the uncertainty of load dynamics and unsynchronized measurements by updating the variances of the unsynchronized measurements, resulting in improved accuracy of state estimation.
2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM
(2023)
Article
Engineering, Electrical & Electronic
L. Kraulich, G. Marchesan, G. Cardoso Jr, A. L. Oliveira, M. S. Martins, L. F. Silveira
Summary: This paper presents a methodology to support the use of Three-Phase Two-Wire (TPTW) system as an economic alternative for rural areas without adequate electricity supply. Through cost evaluation and comparison, the paper demonstrates the effectiveness of the TPTW system.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
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)
