Suchergebnisse - "Load Frequency Control in Power Systems"

Optimization of battery/ultra‐capacitor hybrid energy storage system for frequency response support in low‐inertia microgrid

Autoren: Philemon Yegon Mukhtiar Singh

Quelle: IET Power Electronics, Vol 17, Iss 14, Pp 1713-1727 (2024)

Schlagwörter: Energy storage, TK7800-8360, Microgrid, Inertia, Electrode, Lithium-ion Battery Management in Electric Vehicles, FOS: Mechanical engineering, Battery Management Systems, 02 engineering and technology, Automotive engineering, Energy Storage Systems, Quantum mechanics, 7. Clean energy, frequency control, Engineering, Microgrid Control, AC–DC power convertors, FOS: Electrical engineering, electronic engineering, information engineering, Electrochemistry, 0202 electrical engineering, electronic engineering, information engineering, Classical mechanics, Electrical and Electronic Engineering, Battery (electricity), Load Frequency Control, Supercapacitor, particle swarm optimization, energy storage, Physics, Load Frequency Control in Power Systems, Voltage, Capacitor, Energy Storage, Power (physics), Computer science, Materials science, 3. Good health, Chemistry, Physical chemistry, Control and Systems Engineering, 13. Climate action, Electrical engineering, DC–DC power convertors, Physical Sciences, Automotive Engineering, 8. Economic growth, Control and Synchronization in Microgrid Systems, Electronics

Zugangs-URL: https://doaj.org/article/474d1939de1a4ebbad26b1837742fa5e

Optimal Placement of Superconducting Magnetic Energy Storages in a Distribution Network with Embedded Wind Power Generation

Autoren: S. Sesay Cyrus Wabuge Wekesa Livingstone Ngoo

Quelle: Engineering, Technology & Applied Science Research. 14:13416-13424

Schlagwörter: Wind Power Integration in Power Systems, Superconductivity, Physics, Load Frequency Control in Power Systems, 0211 other engineering and technologies, 02 engineering and technology, Power (physics), Superconducting magnet, Condensed matter physics, Computer science, Quantum mechanics, 7. Clean energy, Environmental science, Engineering, Control and Systems Engineering, Superconducting magnetic energy storage, Electrical engineering, Physical Sciences, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Control and Synchronization in Microgrid Systems, Wind power, Electrical and Electronic Engineering, Energy (signal processing)

Comparative Studies on Load Frequency Control with Different Governors connected to Mini Hydro Power Plant via PSCAD Software

Autoren: Majed Masmali Mamdouh I. Elimy Mohamed Fterich et al.

Quelle: Engineering, Technology & Applied Science Research. 14:12975-12983

Schlagwörter: Hydro power, Artificial intelligence, 0211 other engineering and technologies, Environmental engineering, Control (management), 02 engineering and technology, Quantum mechanics, 7. Clean energy, Electric power system, Engineering, Microgrid Control, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Electrical and Electronic Engineering, Load Frequency Control, Control engineering, Physics, Load Frequency Control in Power Systems, FOS: Environmental engineering, Power System Stability and Control Analysis, Power (physics), Computer science, 6. Clean water, Operating system, Frequency regulation, Control and Systems Engineering, 13. Climate action, Electrical engineering, Physical Sciences, Control and Synchronization in Microgrid Systems, Power System Stability, Automatic frequency control, Software

Hierarchical model predictive control for islanded and grid-connected microgrids with wind generation and hydrogen energy storage systems

Autoren: Muhammad Bakr Abdelghany Valerio Mariani Davide Liuzza et al.

Quelle: International Journal of Hydrogen Energy

Schlagwörter: Renewable energy, Artificial intelligence, Energy storage, Microgrid, Economics, Organic chemistry, Energy Storage Systems, 7. Clean energy, Engineering, Electricity, Microgrid Control, Multi-level model predictive control, Energy management system, Energy, Physics, Statistics, Energy management, Power (physics), 16. Peace & justice, Energy conversion, Chemistry, Physical Sciences, Control and Synchronization in Microgrid Systems, Environmental economics, Energy Engineering and Power Technology, Geometry, Control (management), Automotive engineering, Quantum mechanics, Environmental science, Energy markets, Hydrogen energy storage system, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Model predictive control, Electrical and Electronic Engineering, Grid, Load Frequency Control in Power Systems, Energy Storage, Hydrogen Energy Systems and Technologies, Computer science, Control and Systems Engineering, 13. Climate action, Electrical engineering, Hydrogen production, Wind power, Energy (signal processing), Mathematics, Hydrogen

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11588/989484

Adaptive second order sliding mode control of an oscillating water column

Autoren: Facundo D. Mosquera Carolina Alejandra Evangelista Paul F. Puleston et al.

Quelle: IET Renewable Power Generation, Vol 18, Iss 2, Pp 226-237 (2024)

Schlagwörter: Renewable energy, Artificial intelligence, Sliding mode control, 0211 other engineering and technologies, wave and tidal energy, 02 engineering and technology, Wave Energy Conversion Technologies and Resource Assessment, 7. Clean energy, Renewable energy sources, Engineering, 0202 electrical engineering, electronic engineering, information engineering, Floating Structures, Efficient energy use, Control engineering, Physics, Statistics, variable structure systems, Energy transformation, Hydrodynamic Modeling, Physical Sciences, Thermodynamics, Control and Synchronization in Microgrid Systems, Oscillating Water Column, CONTROL, TJ807-830, Ocean Engineering, Control (management), ENERGIA, Mode (computer interface), Quantum mechanics, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, Electrical and Electronic Engineering, Wave energy converter, Biology, velocity control, renewable energy power conversion, Load Frequency Control in Power Systems, Controller (irrigation), UNDIMOTRIZ, Computer science, Agronomy, Operating system, Control and Systems Engineering, 13. Climate action, Electrical engineering, Nonlinear system, Energy (signal processing), Mathematics

Dateibeschreibung: application/pdf; text

Zugangs-URL: https://doaj.org/article/578e467344f244cb85fb7a17ddba2d1a
http://hdl.handle.net/11336/262503
https://mural.maynoothuniversity.ie/id/eprint/19409/

Adaptive nonlinear controllers based approach to improve the frequency control of multi islanded interconnected microgrids

Autoren: H.K. Shaker H.E. Keshta Magdi A. Mosa et al.

Quelle: Energy Reports, Vol 9, Iss, Pp 5230-5245 (2023)

Schlagwörter: Optimization, Artificial intelligence, Energy Engineering and Power Technology, Control (management), Quantum mechanics, Engineering, Microgrid Control, 11. Sustainability, Transient response of microgrids, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Electrical and Electronic Engineering, Biology, Load Frequency Control, Fuzzy logic controller, Energy, Temperature control, Electronic engineering, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), 1. No poverty, Adaptive control, Coronavirus herd immunity optimization technique, Hydrogen Energy Systems and Technologies, Computer science, Agronomy, TK1-9971, Intelligent Control, 3. Good health, Operating point, Microgrids operation, Control and Systems Engineering, Physical Sciences, Nonlinear system, PID controller, Control and Synchronization in Microgrid Systems, Electrical engineering. Electronics. Nuclear engineering, Adaptive controller

Zugangs-URL: https://doaj.org/article/fece7663cbf443449d8e5adfa29cdc20

Frequency Stability Enhancement of Microgrid Using Optimization Techniques-Based Adaptive Virtual Inertia Control

Autoren: Philemon Yegon Mukhtiar Singh

Quelle: International Transactions on Electrical Energy Systems, Vol 2023 (2023)

Schlagwörter: Optimization, MATLAB, Renewable energy, Artificial intelligence, Inertia, Microgrid, 0211 other engineering and technologies, Control (management), 02 engineering and technology, 7. Clean energy, Quantum mechanics, Electric power system, Engineering, Microgrid Control, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Demand Response in Smart Grids, Classical mechanics, Electrical and Electronic Engineering, Biology, Load Frequency Control, Temperature control, Particle swarm optimization, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Power (physics), Computer science, Agronomy, TK1-9971, Intelligent Control, Algorithm, Operating system, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, PID controller, Control and Synchronization in Microgrid Systems, Grid Synchronization, Electrical engineering. Electronics. Nuclear engineering, Frequency deviation, Automatic frequency control

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/be785f3a16454f47b5c5ce0eed8621be

A graphical technique of controller design and selection of lower and upper bounds in controller design using optimization techniques

Autoren: Nafees Ahamad Abhay Chhetri Mayank Saklani et al.

Quelle: IET Control Theory & Applications, Vol 17, Iss 12, Pp 1648-1662 (2023)

Schlagwörter: Optimization, Artificial intelligence, Robustness (evolution), PWM Strategies, Geometry, Control (management), 02 engineering and technology, Biochemistry, Gene, 7. Clean energy, PID Controller, Engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Controller Tuning, Electrical and Electronic Engineering, Analysis and Design of Fractional Order Control Systems, Temperature control, Control engineering systems. Automatic machinery (General), Particle swarm optimization, Control engineering, Load Frequency Control in Power Systems, Mathematical optimization, controllers, Computer science, Intelligent Control, Algorithm, Chemistry, Cartesian coordinate system, Control and Systems Engineering, TJ212-225, Physical Sciences, PID controller, Multilevel Converters in Power Electronics, optimization, Mathematics

Zugangs-URL: https://doaj.org/article/bad4dbb48f1443af8e323106d095c295

Impact of interconnections and renewable energy integration on the Philippine–Sabah Power Grid systems

Autoren: Tristan G. Magallones Jai Govind Singh

Quelle: Global Energy Interconnection. 6:253-272

Schlagwörter: Renewable energy, MATLAB, Renewable Energy Integration, Geometry, Quantum mechanics, 7. Clean energy, Electric power system, Reliability engineering, Engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Grid, Physics, Load Frequency Control in Power Systems, Power System Stability and Control Analysis, Power (physics), Computer science, Programming language, Operating system, Control and Systems Engineering, 13. Climate action, Electrical engineering, Physical Sciences, Control and Synchronization in Microgrid Systems, Power System Stability, Toolbox, Mathematics

Load Frequency Regulation of Interconnected Muli-source Multi-area Power System with Penetration of Electric Vehicles Aggregator

Autoren: Ahlam Jameel Muhammad Majid Gulzar

Quelle: Electrical Engineering. 105:3951-3968

Schlagwörter: Optimization, Renewable energy, Artificial intelligence, Power flow, Distributed Power Generation, Robustness (evolution), Energy Engineering and Power Technology, Control (management), Firefly algorithm, Biochemistry, Quantum mechanics, Gene, 7. Clean energy, Electric power system, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Unified power flow controller, Electrical and Electronic Engineering, Load Frequency Control, Energy, Temperature control, Control engineering, Particle swarm optimization, Physics, Load Frequency Control in Power Systems, Power (physics), Hydrogen Energy Systems and Technologies, Computer science, Intelligent Control, Algorithm, Chemistry, Control and Systems Engineering, 13. Climate action, Electrical engineering, Physical Sciences, Telecommunications, PID controller, Control and Synchronization in Microgrid Systems, Tie line, Automatic frequency control

An Efficient Design and Control Techniques of Photo-Voltaic Pumping System (PVPS)

Autoren: Hossam Hassan Ammar Mohamed I. Mahmoud Ahmad Taher Azar et al.

Quelle: Arabian Journal for Science and Engineering. 48:14865-14882

Schlagwörter: Artificial intelligence, Photovoltaic Arrays, MPPT Techniques, PV System, 0211 other engineering and technologies, Control (management), 02 engineering and technology, Quantum mechanics, 7. Clean energy, Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Generator (circuit theory), Inverter, Electrical and Electronic Engineering, Biology, Photovoltaic system, Load Frequency Control, Energy, Renewable Energy, Sustainability and the Environment, Particle swarm optimization, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Voltage, Photovoltaic Maximum Power Point Tracking Techniques, Power (physics), 16. Peace & justice, Computer science, Maximum power point tracking, Agronomy, Programming language, Control and Systems Engineering, Electrical engineering, Physical Sciences, Nonlinear system, Control and Synchronization in Microgrid Systems, Voltage and Frequency Control, Constant (computer programming)

A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids

Autoren: Aoqi Xu Yassine Bouteraa Nasreen Kausar et al.

Quelle: Journal of Mathematics, Vol 2023 (2023)

Schlagwörter: Settling time, Intelligent control, Smart Grid Applications, Artificial intelligence, 0211 other engineering and technologies, Control (management), 02 engineering and technology, 7. Clean energy, Quantum mechanics, Electric power system, Engineering, Microgrid Control, Step response, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Demand Response in Smart Grids, Electrical and Electronic Engineering, Biology, Load Frequency Control, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Power (physics), Computer science, Agronomy, Intelligent Control, Fuzzy logic, Load Control, Fuzzy control system, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, Control and Synchronization in Microgrid Systems, Overshoot (microwave communication), Wind power, Mathematics

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/790b731e76014710969aa8b166fdb839
https://avesis.yildiz.edu.tr/publication/details/27c51daa-280d-4635-9932-bc1a12e72a3c/oai

Cascaded Fractional Model Predictive Controller for Load Frequency Control in Multiarea Hybrid Renewable Energy System with Uncertainties

Autoren: Muhammad Majid Gulzar Daud Sibtain Muhammad Khalid

Quelle: International Journal of Energy Research. 2023:1-25

Schlagwörter: Renewable energy, Artificial intelligence, Control (management), 02 engineering and technology, Quantum mechanics, 7. Clean energy, Electric power system, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, Model predictive control, Electrical and Electronic Engineering, Biology, Load Frequency Control, Temperature control, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Power System Stability and Control Analysis, Power (physics), Computer science, Agronomy, Intelligent Control, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, PID controller, Control and Synchronization in Microgrid Systems, Power System Stability, Automatic frequency control, Voltage and Frequency Control

Dateibeschreibung: text/xhtml

Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm

Autoren: Ahmed E.E. Khalil Tarek A. Boghdady M.H. Alham et al.

Quelle: IEEE Access, Vol 11, Pp 3472-3493 (2023)

Schlagwörter: Optimization, Artificial intelligence, Microgrid, Inertia, load frequency control (LFC), Control (management), 02 engineering and technology, Automotive engineering, multi-objective tuning approach, Quantum mechanics, 7. Clean energy, isolated microgrid (IMG), Electric power system, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, renewable energy resources (RES), Demand Response in Smart Grids, Classical mechanics, Electrical and Electronic Engineering, Biology, Load Frequency Control, Temperature control, Electronic engineering, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Power (physics), Artificial rabbits optimization (ARO) algorithm, Computer science, Sensitivity (control systems), Agronomy, TK1-9971, Intelligent Control, Load Control, Control and Systems Engineering, Physical Sciences, Telecommunications, PID controller, Control and Synchronization in Microgrid Systems, Electrical engineering. Electronics. Nuclear engineering, Diesel generator, Diesel fuel, Automatic frequency control

Zugangs-URL: https://doaj.org/article/9f1ea0aa44714c78b964b829d414ea98

UFLS and Smart Load for Frequency Regulation in Electrical Power System: A Review

Autoren: Samuel Bustamante Jorge W. González Gabriel Jaime López Jimenéz et al.

Quelle: IEEE Access, Vol 11, Pp 110967-110984 (2023)

Schlagwörter: Frequency Regulation, Smart Grid Applications, FOS: Political science, FOS: Law, Smart grid, Disconnection, Quantum mechanics, 7. Clean energy, Electric power system, Reliability engineering, Fault (geology), frequency control, Engineering, Blackout, Electricity, Under frequency load shedding (UFLS), FOS: Electrical engineering, electronic engineering, information engineering, inverter based load (IBL), Demand Response in Smart Grids, Electrical and Electronic Engineering, Political science, Seismology, Load Frequency Control, Demand response, Load management, Physics, Load Frequency Control in Power Systems, Load Shedding, converter based load, Geology, FOS: Earth and related environmental sciences, Power (physics), Computer science, TK1-9971, Load Control, smart loads, Frequency regulation, Control and Systems Engineering, Electrical engineering, Physical Sciences, Telecommunications, frequency response, Control and Synchronization in Microgrid Systems, Electrical engineering. Electronics. Nuclear engineering, Automatic frequency control, Law, Voltage and Frequency Control

Zugangs-URL: https://doaj.org/article/894afc83ef8b415b93b9dc9b247c2019

Renewable Energy Maximization for Pelagic Islands Network of Microgrids Through Battery Swapping Using Deep Reinforcement Learning

Autoren: Muhammad Amin Ahmad Suleman Muhammad Waseem et al.

Weitere Verfasser: Muhammad Amin Ahmad Suleman Muhammad Waseem et al.

Quelle: IEEE Access, Vol 11, Pp 86196-86213 (2023)

Schlagwörter: Optimization, Renewable energy, Artificial intelligence, microgrids, Renewable Energy Integration, Distributed Power Generation, 7. Clean energy, Reliability engineering, Unavailability, Engineering, pelagic island, Reinforcement learning, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Demand Response in Smart Grids, 14. Life underwater, Microgrids, Electrical and Electronic Engineering, Deep reinforcement learning, Load Frequency Control, EMS, Load Frequency Control in Power Systems, Mathematical optimization, renewable energy, Computer science, Distributed computing, TK1-9971, Load Control, Control and Systems Engineering, 13. Climate action, Electrical engineering, Physical Sciences, Control and Synchronization in Microgrid Systems, Electrical engineering. Electronics. Nuclear engineering, Scheduling (production processes), Pelagic island, Mathematics

Zugangs-URL: https://doaj.org/article/4dbe5232ce2b448e86f6ceb30486e61b

Power Level Control of Nuclear Power Plants During Load Following Operation Using Fractional Order Controller Based on a Modified Algorithm

Autoren: Tarek A. Boghdady M. Mahmoud Essam M. Aboul-Zahab et al.

Quelle: IEEE Access, Vol 11, Pp 134382-134403 (2023)

Schlagwörter: Fractional order controller, Artificial intelligence, nuclear power plant, Robustness (evolution), Nuclear physics, Fractional Order Control, Control (management), Gene, Biochemistry, 7. Clean energy, Engineering, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Controller Tuning, manta ray foraging optimization, Electrical and Electronic Engineering, Biology, Analysis and Design of Fractional Order Control Systems, Load Frequency Control, renewable energy resources, Temperature control, power level control, Control engineering, Physics, Load Frequency Control in Power Systems, Controller (irrigation), Distributed Control, Computer science, Nuclear power plant, Agronomy, TK1-9971, Chemistry, Model Predictive Control in Industrial Processes, Control and Systems Engineering, Physical Sciences, Telecommunications, PID controller, Electrical engineering. Electronics. Nuclear engineering, Overshoot (microwave communication), Robust Control

Zugangs-URL: https://doaj.org/article/863881cdf8464dc1ae96a35c736bf9f6

Adaptive fuzzy-based stability control and series impedance correction for the grid-tied inverter

Autoren: Sue Wang Chaohong Zhou Saleem Riaz et al.

Quelle: Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 1599-1616 (2023)

Schlagwörter: Artificial intelligence, Control (management), 02 engineering and technology, Engineering, grid-tied inverter (gti), QA1-939, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), 0202 electrical engineering, electronic engineering, information engineering, Amplifier, Inverter, adaptive fuzzy pi controller (afpic), Electrical and Electronic Engineering, Inductance, Operational amplifier, Biology, Impedance matching, Load Frequency Control, Output impedance, Electronic engineering, Load Frequency Control in Power Systems, Controller (irrigation), CMOS, Phase margin, Power System Stability and Control Analysis, Voltage, Computer science, Agronomy, Intelligent Control, Electrical impedance, Control and Systems Engineering, Electrical engineering, Physical Sciences, stability margin, impedance network, Control and Synchronization in Microgrid Systems, Power System Stability, series impedance correction, TP248.13-248.65, Mathematics, Biotechnology

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36899500
https://doaj.org/article/62759321fd1d4cf68c24183ceccd8dea

Artificial Neural Network-Based Direct Power Control to Enhance the Performance of a Pmsg-Wind Energy Conversion System Under Real Wind Speed and Parameter Uncertainties: An Experimental Validation

Autoren: Btissam Majout Badre Bossoufi Mohamed Rehan Karim et al.

Quelle: Energy Reports. 11:4356-4378

Schlagwörter: Artificial neural network, Artificial intelligence, Electricity Price and Load Forecasting Methods, Control (management), Automotive engineering, Wind Power Generation, Quantum mechanics, 7. Clean energy, Wind speed, Engineering, Meteorology, Maximum Power Tracking, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), Electrical and Electronic Engineering, Wind Power, Wind Power Integration in Power Systems, Physics, Load Frequency Control in Power Systems, Power (physics), Computer science, Intelligent Control, Electrical engineering, Physical Sciences, Wind power, Automatic Generation Control, Energy (signal processing)

Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm

Autoren: Ahmadi Kamarposhti, M Shokouhandeh, H Gholami Omali, Y et al.

Quelle: International Transactions on Electrical Energy Systems, Vol 2022 (2022)

Schlagwörter: Optimization, Artificial intelligence, Electricity Price and Load Forecasting Methods, Control (management), 02 engineering and technology, Quantum mechanics, 7. Clean energy, Electric power system, Engineering, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Stability (learning theory), Energy, Sorting, Physics, Load Frequency Control in Power Systems, Mathematical optimization, Power System Stability and Control Analysis, Power (physics), Computer science, TK1-9971, Algorithm, 0906 Electrical and Electronic Engineering, Genetic algorithm, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Power System Stability, Voltage Stability, Mathematics

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/89c9f0d6e85a42cebf3c0efbc0a6bbea
https://e-space.mmu.ac.uk/636391/