Description: Load frequency control (LFC) plays an important role in maintaining constant frequency in order to
ensure the reliability of power systems.With the large-scale development of sustainable but intermittent
sources such as wind and solar, such intermittency challenges the LFC problem. Moreover, the generation
rate constraint (GRC) of power systems also complexes the LFC problem. Concerning the constraint, this
paper addresses an integral sliding mode control (I-SMC) method for power systems with wind turbines. Platform: |
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Author:Gomaa Haroun |
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Description: Linear active disturbance rejection control (LADRC) method is investigated for the load frequency control
(LFC) of power systems in deregulated environments. The connections between one area and the rest of
the system and the effects of possible contracts are treated as a set of new disturbances besides the sys-
tem load. LADRC uses an extended state observer (ESO) to estimate the disturbances and compensates Platform: |
Size: 808960 |
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 |
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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 |
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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: This article presents a newly developed, novel and effi cient optimization technique called quasi-
oppositional grey wolf optimization algorithm (QOGWO) for the fi rst time to solve load frequency control
problem (LFC) of a power system. Grey wolf optimization (GWO) is a recently developed meta-heuristic
optimization technique based on the effect of leadership hierarchy and hunting mechanism of wolves in
nature. Two widely employed test systems viz. two-area hydro-thermal and four-area hydro-thermal-This article presents a newly developed, novel and effi cient optimization technique called quasi-
oppositional grey wolf optimization algorithm (QOGWO) for the fi rst time to solve load frequency control
problem (LFC) of a power system. Grey wolf optimization (GWO) is a recently developed meta-heuristic
optimization technique based on the effect of leadership hierarchy and hunting mechanism of wolves in
nature. Two widely employed test systems viz. two-area hydro-thermal and four-area hydro-thermal Platform: |
Size: 1020928 |
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: Nonlinear model predictive control (NMPC) is investigated for load frequency control (LFC) of an inter-
connected power system which is exposed to increasing wind power penetration. The robustifi ed NMPC
(RNMPC) proposed here uses knowledge of the estimated worst-case deviation in wind-power pro- Platform: |
Size: 854016 |
Author:Gomaa Haroun |
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Description:
Abstract— Renewable sources of energy is now playing a
very important role in the electrical power supply. In near future
significant portion of total power generated will be obtained
renewable energy sources like solar, wind etc. In thermal power
plant conventional frequency control technique is done using
Automated Load Frequency Control model using governor and -
Abstract— Renewable sources of energy is now playing a
very important role in the electrical power supply. In near future
significant portion of total power generated will be obtained
renewable energy sources like solar, wind etc. In thermal power
plant conventional frequency control technique is done using
Automated Load Frequency Control model using governor and Platform: |
Size: 238592 |
Author:Gomaa Haroun |
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Description: In this study, it is tried to employ a state-of-the-art multi-objective uniform-diversity genetic algorithm
(MUGA) for Pareto optimization of PI/PID controllers in Load Frequency Control (LFC) of power systems.
At fi rst, multi objective optimization of a linear non-reheat two-area interconnected power system is
conducted with respect to three confl icting objective functions. Gains of PI and PID controllers are con-
sidered as design variables while the objective functions are Integral Time multiply Absolute Error (ITAE), Platform: |
Size: 1814528 |
Author:Gomaa Haroun |
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