Description: Robust Model Following Load Frequency Sliding
Mode Controller Based on UDE and Error
Improvement with Higher Order Filter Platform: |
Size: 848896 |
Author:hacen |
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Description: 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. Platform: |
Size: 385024 |
Author:ada |
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Description: AN ADAPTIVE CONTROLLER FOR POWER SYSTEM
LOAD-FREQUENCY CONTROL -AN ADAPTIVE CONTROLLER FOR POWER SYSTEM
LOAD-FREQUENCY CONTROL Platform: |
Size: 486400 |
Author:masi |
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Description: 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. Platform: |
Size: 11264 |
Author:Ahmed Elzawawy |
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Description: Controller parameters tuning of differential evolution algorithm
and its application to load frequency control of multi-source power
system Platform: |
Size: 481280 |
Author:Kaveri.soa |
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Description: 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 Platform: |
Size: 1084416 |
Author:Gomaa Haroun |
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Description: 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 Platform: |
Size: 1084416 |
Author:Gomaa Haroun |
Hits:
Description: 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 Platform: |
Size: 1084416 |
Author:Gomaa Haroun |
Hits:
Description: 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) Platform: |
Size: 433152 |
Author:Gomaa Haroun |
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Description: 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 Platform: |
Size: 314368 |
Author:Gomaa Haroun |
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Description: 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 Platform: |
Size: 4168704 |
Author:Gomaa Haroun |
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Description: 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 Platform: |
Size: 1978368 |
Author:Gomaa Haroun |
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Description: 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- Platform: |
Size: 1236992 |
Author:Gomaa Haroun |
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Description: 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- Platform: |
Size: 2799616 |
Author:Gomaa Haroun |
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Description: 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, Platform: |
Size: 1337344 |
Author:Gomaa Haroun |
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Description: 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 Platform: |
Size: 870400 |
Author:Gomaa Haroun |
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Description: 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. Platform: |
Size: 304128 |
Author:phdscolar11
|
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