Description: 人员报警系统，采用51单片机为控制器，用在船舶运输工具上，为人员的危险地段作业，特意设置的，分别采用5分钟，10分钟，15分钟，25分钟，等等时间作业，当作业人员遇到到危险时，就报警，让外部人员知道，做及时的救援，并且采用两组电源检查，希望能给需要帮组的人提供参考-Staff alarm system, using 51 single-chip for the controller, means of transport used in ships for the personnel operating the danger area, specially set up, respectively, 5 minutes, 10 minutes, 15 minutes, 25 minutes, and so on time operation, When the workers to a dangerous encounter, they report to the police, so that outsiders know, to do a timely rescue, and the use of two sets of power to check, I hope to give people who need help the group to provide reference Platform: |
Size: 2048 |
Author:liutao |
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Description: Two files
1. Data for Single machine Infinite Bus bar of power system. the generator data is based on MMF method which is described in Kundur, Power System Stability.
2. performance of Power System Stabilizer (PSS) for inter-area oscillations. The two area system is based on the example given in Kundur, Power System Stability.-Two files
1. Data for Single machine Infinite Bus bar of power system. the generator data is based on MMF method which is described in Kundur, Power System Stability.
2. performance of Power System Stabilizer (PSS) for inter-area oscillations. The two area system is based on the example given in Kundur, Power System Stability. Platform: |
Size: 23552 |
Author:Chaitanya |
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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: In order to effectively manage the problem of
load frequency control (LFC), preserve stability of frequency,
tie-line power and area control error (ACE) for
inter-connection hydro power system, the optimal problem
between system parameters and controller parameters was
constructed in this paper according to the relation between the
maximum peak resonance and the maximum peak overshoot.
The mathematic expression between the two kinds of
parameter was obtained by deduced the optimal problem.
Aimed at the non-minimum phase character of hydro generator Platform: |
Size: 435200 |
Author:yangs |
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Description: A hybrid Firefly Algorithm (FA) and Pattern Search (PS) optimized fuzzy PID controller is proposed for
Load Frequency Control (LFC) of multi area power systems. Initially a two area thermal system with Governor
Dead Band (GDB) nonlinearity is considered and the gains of the fuzzy PID controller are optimized
employing a hybrid FA and PS (hFA–PS) optimization technique. The supremacy of proposed hFA–PS over
FA is also demonstrated. The advantage of the proposed fuzzy PID controller has been shown by
comparing the results with some recently published techniques, such as Differential Evolution (DE)
and Craziness based Particle Swarm Optimization (CPSO). Further, sensitivity analysis is performed by
varying the system parameters and operat Platform: |
Size: 675840 |
Author:yangs |
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Description: 含再热和非再热机组，含模糊自适应PID控制器-This study presents an application of a fuzzy controller for load-frequency control of a two-area electrical interconnected power system. Model simulations of the power system show that the proposed controller is effective and suitable for damping out oscillations resulted load perturbations.-This study presents an application of a fuzzy controller for load-frequency control of a two-area electrical interconnected power system. Model simulations of the power system show that the proposed controller is effective and suitable for damping out oscillations resulted load perturbations. Platform: |
Size: 35840 |
Author:小小 |
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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: 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: 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 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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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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Description: It is well established that fast acting exciter with
high gain AVR can contribute to oscillatory instability in
power system. This type of instability is characterized by low
frequency (0.2 Hz to 2.0 Hz) oscillations. This type of
instability can endanger system security and limit power
transfer. In this paper Power System Stabilizers (PSS) are used
to damp inter area mode of oscillation in two area power
system. Simulations are carried out in MATLAB/Simulink
environment for the two area system model with and without
PSS to anal Platform: |
Size: 301056 |
Author:phdscolar11
|
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Search - two area power system