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Neelika Tripathi
International Journal of Advanced Technology & Engineering Research , 2012,
Abstract: Now days, there is a lot of requirement to control the ap-pliances in an industry or in a home connected to the power grid when we are working with our PC. In these situations we need to go to the place where the power grid has been situated which is a time consuming process. The main aim of the present project is to provide a facility by which we can control all the appliances connected to the power grid like bulbs, fans, TV, fridge, and air cooler etc. from your PC or from your laptop at a distance of 10meters around the con-trol board. The only thing is we need to connect a RF remote transmitter to your PC and a control board to the power con-trol section of home.
Electrical Energy Conservation in Automatic Power Factor Correction by Embedded System
Energy and Power , 2012, DOI: 10.5923/j.ep.20120204.02
Abstract: This paper presents a new method for power factor correction with low cost drives. Power factor control is a major role in the improvement of power system stability. Many of the existing systems are expensive and difficult to manufacturer. Nowadays many of the converters have no input power factor correction circuits. The effect of power factor correction circuit is used to eliminate the harmonics present in the system. This type of power factor correction circuit is mostly used in the Switched Reluctance Motor controller drive. Fixed capacitor systems are always leading power factor under at any load conditions. This is unhealthy for installations of power system. The proposed embedded system drive is used to reduce the cost of the equipment and increase the efficiency of the system. Experimental results of the proposed systems are included. It is better choice for effective cost process and energy savings.
Bipasha Bhatia,Mrs. Sanju Saini,Dr. Narender Kumar
International Journal of Engineering Science and Technology , 2012,
Abstract: This paper presents the use of one of the methods of artificial intelligence to study the automatic generation control of interconnected power systems. In the given paper, a control line of track is established for interconnected three area thermal-thermal-thermal power system using generation rate constraints (GRC) &Artificial Neural Network (ANN). The working of the controllers is simulated using MATLAB/SIMULINK package. The outputs using both controllers are compared and it is established that ANN based approach is better than GRC for 1% step load conditions.
Hybrid Neuro Fuzzy Controller for Automatic Generation Control of Multi Area Deregulated Power System  [PDF]
Baghya Shree Solaiappan, Nagappan Kamaraj
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.74026
Abstract: This paper is intended in investigating the Automatic Generation Control (AGC) problem of a deregulated power system using Adaptive Neuro Fuzzy controller. Here, three area control structure of Hydro-Thermal generation has been considered for?different contracted scenarios under diverse operating conditions?with non-linearities such as?Generation Rate Constraint (GRC) and Backlash.?In each control area, the effects of the feasible contracts are treated as a set of new input signals in a modified traditional dynamical model. The key benefit of this strategy is its high insensitivity to large load changes and disturbances in the presence of plant parameter discrepancy and system nonlinearities. This newly developed scheme leads to a flexible controller with a simple structure that is easy to realize and consequently it can be constructive for the real world power system. The results of the proposed controller are?evaluated?with the Hybrid Particle Swarm Optimisation (HCPSO), Real Coded Genetic Algorithm (RCGA) and Artificial Neural Network (ANN) controllers to illustrate its robustness.
A Fuzzy-Logic-Based Controller for Three-Phase PWM Rectifier With Unity Power Factor Operation
A. Bouafia,F. Krim
Journal of Electrical Systems , 2008,
Abstract: In this paper, direct power control (DPC) of three-phase PWM rectifiers based on fuzzy logic controller is presented, without line voltage sensors. The control technique is built upon the ideas of the well known direct torque control (DTC) for induction motors. The instantaneous active and reactive powers, directly controlled by selecting the optimum state of the converter, are used as the PWM control variables instead of the phase line currents being used. The proposed fuzzy logic controller presents the advantage to be based on linguistic description and does not require a mathematical model of the system. The controller ensures a good regulation of the output voltage, and guarantees the power factor close to one. The simulation results show that the designed fuzzy controller has a good dynamic behavior, a good rejection of impact load disturbance, and is very robust.
A New Systematic Procedure to Design an Automatic Generation Controller  [PDF]
A. Khodabakhshian
Journal of Applied Sciences , 2007,
Abstract: A new method to tune the controller parameters is presented in study for Automatic Generation Control (AGC) of hydro turbine power systems. The controller parameters are adjusted such that the maximum phase is located on the right-most point of the ellipse, corresponding the maximum peak resonance on the Nichols chart. For this system making the open-loop frequency response curve tangent to a specified ellipse is an efficient method for controlling the overshoot, the stability and the dynamics of the system. The robustness of the feedback PID controller has been investigated on a multimachine power system model and the results are shown to be consistent with the expected performance. The results are also compared with a conventional PI controller and shown to be superior; especially since the transient droop compensator of the speed governor is removed a much faster response is obtained. The region of acceptable performance for the LFC covers a wide range of operating and system conditions.
Fuzzy based Power Flow control of Two Area Power System
K Manickavasagan
International Journal of Electrical and Computer Engineering , 2012, DOI: 10.11591/ijece.v2i1.219
Abstract: This paper deals with the novel approach of fuzzy based power flow control of two area power system. Interconnected operation enables utilities to share the generation from one area to other areas. In each area, all the generators are synchronized at same frequency. The change in system load within the area causes frequency deviation in the generating buses and tie line error in the tie lines connecting neighboring areas. The control of interconnected power system is achieved by Automatic Generation Control (AGC), which maintains the balance between generation and load. In this paper, the components of AGC, frequency deviation (DF), tie line error (DPtie) and the output change in generations (DPgi) are calculated by steady state power flow analysis using decoupled Newton Raphson method. The control action is performed by conventional method using participation factor and Fuzzy Logic Controller (FLC). The DF and DPtie are the inputs to the conventional controller and Fuzzy Logic Controller (FLC). The proposed method is tested with modified IEEE 30 bus system and the results are compared. Analysis reveals that FLC is quite capable of suppressing the frequency deviation and tie line error effectively as compared to that obtained with conventional controller.
Permissive Controller Synthesis for Probabilistic Systems  [PDF]
Klaus Drager,Vojtech Forejt,Marta Kwiatkowska,David Parker,Mateusz Ujma
Mathematics , 2015, DOI: 10.2168/LMCS-11(2:16)2015
Abstract: We propose novel controller synthesis techniques for probabilistic systems modelled using stochastic two-player games: one player acts as a controller, the second represents its environment, and probability is used to capture uncertainty arising due to, for example, unreliable sensors or faulty system components. Our aim is to generate robust controllers that are resilient to unexpected system changes at runtime, and flexible enough to be adapted if additional constraints need to be imposed. We develop a permissive controller synthesis framework, which generates multi-strategies for the controller, offering a choice of control actions to take at each time step. We formalise the notion of permissivity using penalties, which are incurred each time a possible control action is disallowed by a multi-strategy. Permissive controller synthesis aims to generate a multi-strategy that minimises these penalties, whilst guaranteeing the satisfaction of a specified system property. We establish several key results about the optimality of multi-strategies and the complexity of synthesising them. Then, we develop methods to perform permissive controller synthesis using mixed integer linear programming and illustrate their effectiveness on a selection of case studies.
Automatic controller to water plants
Medici, Leonardo Oliveira;Rocha, Hermes Soares da;Carvalho, Daniel Fonseca de;Pimentel, Carlos;Azevedo, Ricardo Antunes;
Scientia Agricola , 2010, DOI: 10.1590/S0103-90162010000600016
Abstract: despite the massive demand of water for plant irrigation, there are few devices being used in the automation of this process in agriculture. this work evaluates a simple controller to water plants automatically that can be set up with low cost commercial materials, which are large-scale produced. this controller is composed by a ceramic capsule used in common domestic water filters; a plastic tube around 1.5 m long, and a pressostate used in domestic washing machines. the capsule and the pressostate are connected through the tube so that all parts are filled with water. the ceramic capsule is the sensor of the controller and has to be placed into the plant substrate. the pressostate has to be placed below the sensor and the lower it is, the higher is the water tension to start the irrigation, since the lower is the pressostate the higher is the water column above it and, therefore, the higher is the tension inside the ceramic cup to pull up the water column. the controller was evaluated in the control of drip irrigation for small containers filled with commercial organic substrate or soil. linear regressions explained the relationship between the position of pressostate and the maximum water tension in the commercial substrate (p < 0.0054) and soil (p < 0.0001). among the positions of the pressostate from 0.30 to 0.90 m below the sensor, the water tension changed from 1 to 8 kpa for commercial substrate and 4 to 13 kpa for the soil. this simple controller can be useful to grow plants, applying water automatically in function of the water tension of the plant substrate.
LQR Based Load Frequency Controller for Two Area Power System
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering , 2013,
Abstract: Recently, LQR controllers have received extensive attention and research. Accordingly, there is an increasing interest in LQR controller. The widely used classical integer order proportional integral controller and proportional integral derivative controller are usually adopted in the load frequency control (LFC) and automatic generation control (AGC) to improve the dynamic response and to eliminate or reduce steady state errors. In this paper LQR controllers are used to improve dynamic stability and response of LFC and AGC system. This paper investigates LFC and AGC for interconnected power systems and shows that LQR controllers perform better than classical integer order controllers in these systems.
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