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[matlab] Load-frequency-control DL : 0: Load frequency control
Date : 2025-07-12 Size : 7kb User : ali
[Books] load-frequency-control DL : 0: load frequency control using HINFLMI function
Date : 2025-07-12 Size : 420kb User : farhanbeg
[Other] Load-frequency-control-by-neural-network-based-in DL : 0: 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.
Date : 2025-07-12 Size : 1.61mb User : Gomaa Haroun
[Other] Load-frequency-control-in-deregulated-environment DL : 0: 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
Date : 2025-07-12 Size : 790kb 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 : 2025-07-12 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 : 2025-07-12 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 : 2025-07-12 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 : 2025-07-12 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 : 2025-07-12 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 : 2025-07-12 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 : 2025-07-12 Size : 1.89mb User : Gomaa Haroun
[Other] Load-frequency-control-of-large-scale-power-syste DL : 0: 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
Date : 2025-07-12 Size : 997kb 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 : 2025-07-12 Size : 1.18mb User : Gomaa Haroun
[Other] Model-predictive-load-frequency-control-taking-in DL : 0: 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-
Date : 2025-07-12 Size : 834kb User : Gomaa Haroun
[Other] Novel-Load-Frequency-Control-with-Optimum-Power-R DL : 0: 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
Date : 2025-07-12 Size : 233kb User : Gomaa Haroun
[Other] Pareto-design-of-Load-Frequency-Control-for-inter DL : 0: 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),
Date : 2025-07-12 Size : 1.73mb User : Gomaa Haroun
[Other] Load Frequency Control DL : 0: about project it is about load frequency control
Date : 2025-07-12 Size : 90kb User : raviks
[Energy industry] Sliding mode based load-frequency control in power systems DL : 0: Sliding mode based load-frequency control in power systems
Date : 2019-08-25 Size : 454.04kb User : mehdi_hb_2019
[matlab] Load-Frequency-Control--main DL : 0: Load-Frequency-Control--main
Date : 2024-09-02 Size : 8.1mb User : here.senthil
[matlab] muhaiminsk-Optimization-algorithms-for-load-frequency-control--main DL : 0: muhaiminsk-Optimization-algorithms-for-load-frequency-control--main
Date : 2024-10-25 Size : 2.48mb User : here.senthil

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