Sandeep Bhongade

Artificial neural network based automatic generation control scheme for deregulated electricity market

This paper presents an artificial neural network (ANN) based frequency controller design for multi-area Automatic Generation Control (AGC) scheme in a deregulated electricity market. The effect of Superconducting Magnetic Energy Storage (SMES) unit has also been considered to develop the model. SMES units have been used to the power systems to inject or absorb active power. The effect of generator rate constraint (GRC) has also been considered in developing the multi area AGC model. A three layer feed forward neural network (NN) is proposed for controller design and trained with Back propagation algorithm (BPA). The poolco based transaction can be implemented by optimizing the bids (price & capacity) submitted by the generating companies (Gencos) and distribution companies (Discos). The functioning of the proposed ANN based controller has been demonstrated on a four-area System, and the results have been compared with those obtained by using a Genetic Algorithm based control scheme.

Automatic generation control scheme based wind power generating system

In this paper, a multi-area AGC scheme including wind turbine generating system (WTG) suitable in a restructured power system has been proposed. Developed scheme utilizes a proportional, integral and derivative (PID) controller to control the output of the generators. The parameters of PID controller has been tuned according to Genetic Algorithm (GA) based performance indices. The functioning of proposed scheme has been tested on a 75-bus Indian power system network. The results of proposed scheme have been compared with those obtained without WTG system.

Participation of DFIG based wind turbine generator in Load Frequency Control with linear quadratic regulator

For large scale power systems, it is important to keep the frequency and inter area tie line power near to the scheduled values. The Automatic Generation Control (AGC) helps in Load Frequency Control (LFC). In current scenario the use of renewable energy sources are given higher priority for the energy generation due to environmental concerns. As the penetration of wind energy using doubly fed induction generator (DFIG) in power system is increasing, it results more disturbance in frequency if load-generation is not balanced. This paper presents a novel approach along with the DFIG to control the frequency and tie-line power deviation. The linear quadratic regulator (LQR) is designed and the kinetic energy of DFIG is extracted to control the interconnected two area power system. The improvement in response after participation of DFIG will be observed by the time domain simulation response in MATLAB.

Participation of Renewable Energy Sources in Restructured Power System

Received Oct 18, 2012 Revised Jan 6, 2013 Accepted Jan 25, 2013 In the present paper, a frequency control method based on Genetic Algorithm (GA) has been presented. The proposed scheme has been successfully tested on well known IEEE 39bus test system. A deregulated electricity market scenario has been assumed in the test system. It has been assumed that both the generators and the consumers are participating in the frequency regulation market. Simulation results show that the proposed GAPID Controller along with HVDC link improves the system frequency. The performance studies have been carried out by using the MATLAB SIMULINK for transactions within and across the control area boundaries. Keyword:

Load Disturbance Rejection based PID controller for frequency regulation of a microgrid

This paper deals with an autonomous isolated microgrid comprising both controllable & uncontrollable sources. Like solar, wind, diesel generator (DG), aqua electrolyzer (AE), fuel cell (FC), battery energy storage system (BESS), and fly wheel (FW) are considered. Solar, wind, DG and FC are power generating source & BESS, FW, AE as energy storage element. The generated hydrogen by an AE is used as fuel for a FC. The power system frequency deviates for the sudden change in load demand and the real power generation. The output power of DG, FC, BESS, FW and power absorbed by AE is regulated by using controller such that frequency of the system is controlled. Controller used is proportional plus integral plus derivative (PID). Load Disturbance Rejection (LDR) is used for tuning of proposed hybrid systems controller gains. This uses the chien-hornes-resnick (CHR) setting with 20% overshoot. The system response of LDR method is compared with classical method and the result of LDR based controller gives better response then the classical method.

An optimal solution for Combined Economic and Emission Dispatch problem using Artificial Bee Colony Algorithm

In India Electrical Energy is generated mainly Coal based Thermal Power stations and hydro Electric Power Stations. The main aim of power generating company is to provide good quality and reliable power to consumers at minimum cost. The problem of Combined Economic and Emission Dispatch deals with the minimization of both fuel cost and emission of pollutants such as oxides of Nitrogen and Oxides of Sulphur. In our power system the emission is major problem created thats why in now a days we move from green energy source or renewable energy such as Sunlight, Wind, Tides, Wave, and Geothermal Heat Energy. The Emission constrained Economic Dispatch problem treats the emission limit as an additional constraint and optimizes the fuel cost. In this paper we optimizes the Combined Economic and Emission Dispatch problem by using two different optimization method such as Artificial Bee Colony (ABC) and Genetic Algorithm (GA). The proposed ABC Algorithm has been successfully implemented is to IEEE 30 bus and Indian Utility sixty two Bus System The simulation result are compare and found the effective algorithm for Combined Economic and Emission Dispatch problem.

Design and implementation of digital PID controller using FPGA for precision temperature control

In this paper, design scheme for implementation of digital PID controller using FPGA based microcontroller core is presented for temperature control system. The differential equation includes different controller gains, required to be tuned for desired output response. Usually PID control is much used for second or higher order systems. On the other hand, PI and PD controllers are preferred for first order systems. Here controller is implemented to fulfill the demand of achieving and maintaining the temperature of an Al plate to the desired set point temperature with control precision better than 0.1degC, acceptable rise time and settling time. In implementation load used is a first order system as it has single heat transfer element. For FPGA implementation of PID, VHDL is used for code development. Microcontroller core is used for configuring and interfacing to peripherals using C. Libero IDE is used to develop, simulate, synthesis and place & route the design.

Modeling and simulation of 2 MHz external antenna for RF driven H − ion source

The modeling and simulation of external antenna is important for the study of RF driven hydrogen plasma sources. The external antenna will be externally wrapped around plasma chamber. RF pulsed power feeding at 2 MHz frequency to antenna for plasma generation (ionisation) and heat up through inductive coupling. This antenna has been modeled and simulated with Opera-3D simulation platform using TOSCA module. This simulation will help to study the magnetic field behaviour and determination of electrical parameters of antenna. The analysis has been carried out by considering current of 400 Amp in antenna, the results are reported in the paper.

Review on Image Denoising Based on Contourlet Domain Using Adaptive Window Algorithm

This paper based on the characteristic of contour let transform for image denoising, paper presents adaptive window algorithm which uses directional information from the contour let transform and structure information of image for image denoising. In this method each sub band of the contour let is first fixed by autocorrelation function of contour let and then adaptive filtering is used to denoise the noisy image. Experiments will show that the proposed algorithm achieves better SNR value than current Contour let based image denoising algorithms.

Application of superconducting magnet energy storage to a multi-area automatic generation control scheme suitable in a restructured power system

The application of superconducting magnetic energy storage (SMES) unit to the stabilization of genetic algorithm (GA) based multi-area automatic generation control scheme is presented. In this paper, SMES units have been used to the power systems to inject or absorb active power. Developed scheme utilizes a proportional, integral and derivative (PID) controller to control the output of the generators. The parameters of PID controller have been tuned according to GA based performance indices. The developed G A based PID (GAPID) controller has been tested on a practical Indian power system network representing 75- bus system. A deregulated electricity market scenario has been assumed in the 75- bus system, which has been divided into four control areas. Mixed transaction (Poolco and bilateral) has been considered in the frequency regulation. The effect of generator rate constraint (GRC) has also been included in developing the multi area AGC model.