Search - load frequency controller

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[Algorithm] Mesh2d DL : 1: 一个功能强大的非结构网格划分程序,可实现网格的自动剖分,及局部加密与质量控制-A powerful non-structural mesh procedures, can realize the automatic mesh generation, and partial encryption and quality control
Date : 2025-07-01 Size : 210kb User : ren
[Software Engineering] IJAM_37_1_05 DL : 0: Robust Model Following Load Frequency Sliding Mode Controller Based on UDE and Error Improvement with Higher Order Filter
Date : 2025-07-01 Size : 829kb User : hacen
[SCM] D10-0183 DL : 0: Fifty residential electric water heaters and 150 new residential clothes dryers were modified to respond to signals received from underfrequency, load-shedding appliance controllers. Each controller monitored the power-grid voltage signal and requested that electrical load be shed by its appliance whenever electric power-grid frequency fell below 59.95 Hz. The controllers and their appliances were installed and monitored for more than a year at residential sites at three locations in Washington and Oregon. The controllers and their appliances responded reliably to each shallow underfrequency event— an average of one event per day—and shed their loads for the durations of these events. Appliance owners reported that the appliance responses were unnoticed and caused little or no inconvenience for the homes’ occupants.
Date : 2025-07-01 Size : 376kb User : ada
[Software Engineering] 00032469 DL : 0: AN ADAPTIVE CONTROLLER FOR POWER SYSTEM LOAD-FREQUENCY CONTROL -AN ADAPTIVE CONTROLLER FOR POWER SYSTEM LOAD-FREQUENCY CONTROL
Date : 2025-07-01 Size : 475kb User : masi
[AI-NN-PR] Fuzzy-tuned-PI-Controller-for-Load-Frequency-Cont DL : 1: Decentralized Robust Load-frequency Control Synthesis in Restructured Power Systems
Date : 2025-07-01 Size : 12kb User : hadi
[matlab] commdelay_stab_simu_diff DL : 0: Power ystem simulation for Load frequency controller
Date : 2025-07-01 Size : 2kb User : Rajeeb
[Software Engineering] LFC DL : 1: This study presents an application of a fuzzy gain scheduled proportional and integral (FGPI) controller for load-frequency control of a two-area electrical interconnected power system. Model simulations of the power system show that the proposed FGPI controller is effective and suitable for damping out oscillations resulted load perturbations.-This study presents an application of a fuzzy gain scheduled proportional and integral (FGPI) controller for load-frequency control of a two-area electrical interconnected power system. Model simulations of the power system show that the proposed FGPI controller is effective and suitable for damping out oscillations resulted load perturbations.
Date : 2025-07-01 Size : 11kb User : Ahmed Elzawawy
[Industry research] 1-s2.0-S0142061513002895-main DL : 1: Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system
Date : 2025-07-01 Size : 470kb User : Kaveri.soa
[Other] Load-frequency-control-in-deregulated-power-syste DL : 0: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The
Date : 2025-07-01 Size : 1.03mb User : Gomaa Haroun
[Other] Load-frequency-control-in-deregulated-power-syste DL : 0: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The
Date : 2025-07-01 Size : 1.03mb User : Gomaa Haroun
[Other] Load-frequency-control-in-deregulated-power-syste DL : 0: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The
Date : 2025-07-01 Size : 1.03mb User : Gomaa Haroun
[Other] Load-Frequency-Control-in-Multi-Area-Power-System DL : 0: Abstract— In an interconnected multi-area power system, as a power load demand varies randomly, in the case of any small sudden load change in any of the areas, both area frequency and tie-line power flow interchange also vary. The main goals of Load Frequency Control (LFC) are, to hold the frequency and the desired power output in the interconnected power system at the scheduled values and to control the change in the tie-line power flow between control areas. The purpose of this paper is to present basically an application of Fuzzy Logic Controller (FLC)
Date : 2025-07-01 Size : 423kb User : Gomaa Haroun
[Other] Load-frequency-control-in-two-area-power-systems- DL : 0: This paper presents a fuzzy application to the area of load-frequency control (LFC) using fuzzy gain scheduling of PI controllers. The study has been designed for a two area interconnected power system. Using variable values for the proportional and integral gains in the controller unit, the dynamic perfor- mance of the system is improved. A comparison among a conventional PI controller, some other fuzzy gain
Date : 2025-07-01 Size : 307kb User : Gomaa Haroun
[Other] Load-frequency-control-of-an-autonomous-hybrid-po DL : 0: This paper deals with a novel quasi-oppositional harmony search algorithm (QOHSA) based design of load frequency controller for an autonomous hybrid power system model (HPSM) consisting of multiple power generating units and energy storage units. QOHSA is a novel improved version of music inspired harmony search algorithm for obtaining the best solution vectors and faster convergence rate. In this paper, the efﬁ cacy of the proposed QOHSA is adjudged for optimized load frequency control (LFC) of
Date : 2025-07-01 Size : 3.98mb User : Gomaa Haroun
[Other] Load-frequency-control-of-interconnected-power-sy DL : 0: In this article an attempt has been made to solve load frequency control (LFC) problem in an inter- connected power system network equipped with classical PI/PID controller using grey wolf optimization (GWO) technique. Initially, proposed algorithm is used for two-area interconnected non-reheat thermal- thermal power system and then the study is extended to three other realistic power systems, viz. (i) two- area multi-units hydro-thermal, (ii) two-area multi-sources power system having thermal, hydro and gas
Date : 2025-07-01 Size : 1.89mb User : Gomaa Haroun
[Other] Load-frequency-control-of-power-system-under-dere DL : 0: In this paper, a novel Fireﬂ y Algorithm (FA) optimized hybrid fuzzy PID controller with derivative Filter (PIDF) is proposed for Load Frequency Control (LFC) of multi area multi source system under deregulated environment by considering the physical constraints such as Generation Rate Constraint (GRC) and Governor Dead Band (GDB) nonlinearity. As the effectiveness of FA depends on algorithm control param- eters such as randomization, attractiveness, absorption coefﬁ cient and number of ﬁ reﬂ ies are systemat-
Date : 2025-07-01 Size : 1.18mb User : Gomaa Haroun
[Other] Load-frequency-control-problem-in-interconnected- DL : 0: Abstract In this paper, a robust Fractional Order PI D controller that contains an integral frac- tion action and a simple ﬁ ltered derivative action, is investigated on Automatic Generation Control (AGC) of a three areas reheat-thermal system. For more realistic study some nonlinear constraints have been introduced such as Governor Dead Band (GDB), Generation Rate Constraints (GRC) and boiler dynamics. The optimal controller parameters are tuned through new evolutionary algo-
Date : 2025-07-01 Size : 2.67mb User : Gomaa Haroun
[Other] Model-Predictive-Load-Frequency-Control DL : 0: Abstract—A model predictive controller (MPC) for load fre- uency control (LFC) of an interconnected power system is nvestigated. The MPC is based on a simpliﬁ ed system model of he Nordic power system, and it takes into account limitations n tie-line power ﬂ ow, generation capacity, and generation rate f change. The participation factors for each generator are opti- mization variables, and suggestions are made as to how one can nsure tie-line power transfer margins through slack-variables,
Date : 2025-07-01 Size : 1.28mb User : Gomaa Haroun
[Other] Multi-area-load-frequency-control-using-particle- DL : 0: Abstract This paper present heuristics based study of multi area power network. Heuristic procedures involving Particle Swarm Intelligence and Fuzzy based inferences have been employed to effectively obtain the optimized gains of PID controller. Any change in the load demand causes generator’s shaft speed lower than the pre-set value and the system frequency deviates the standard value results in malfunctioning of frequency relays. A five area load frequency model is constructed in -Abstract This paper present heuristics based study of multi area power network. Heuristic procedures involving Particle Swarm Intelligence and Fuzzy based inferences have been employed to effectively obtain the optimized gains of PID controller. Any change in the load demand causes generator’s shaft speed lower than the pre-set value and the system frequency deviates the standard value results in malfunctioning of frequency relays. A five area load frequency model is constructed in
Date : 2025-07-01 Size : 850kb User : Gomaa Haroun
[SCM] 4437a360 DL : 0: This paper presents the design of an intelligent fuzzy gain scheduled proportional-integral (FGSPI) controller as the supplementary controller for load frequency control (LFC) of two-area interconnected power system with reheat type thermal unit of equal capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1. The proposed FGSPI controller is compared against conventional proportional-integral (PI) controller and state feedback linear quadratic regulator (LQR) controller using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. Comparative analysis indicates that the proposed intelligent controller gives better performance than conventional controllers.
Date : 2025-07-01 Size : 297kb User : phdscolar11

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