Pattern and Implementation of 800VA Uninterrupted Power Supply

Volume 6 Issue 1 February - April 2018

Research Paper

Pattern and Implementation of 800VA Uninterrupted Power Supply

S. Narasimha*, P. Laxman**

* Professor, Department of Electrical and Electronics Engineering, TKR College of Engineering and Technology (Autonomous), Hyderabad, India.

** Assistant Professor, Department of Electrical and Electronics Engineering, Scient Institute of Technology, Hyderabad, India.

Narasimha, S., and Lxman, P. (2018). Pattern and Implementation of 800VA Uninterrupted Power Supply. i-manager’s Journal on Power Systems Engineering, 6(1), 14-25. https://doi.org/10.26634/jps.6.1.14205

Abstract

In this paper, the proposed design is made to use the home appliances even in the absence of Alternating Current (AC) main power supply. The main characteristics of the design is that it produces pure sine wave as output without any harmonic distortion in Uninterrupted Power Supply(UPS). The change over time is very small which will result in no reboot of the computer connected to the UPS equipment. In this work, the 800 VA, single phase UPS system has been designed and implemented successfully. It has been examined with various types of loads with low cost.

Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh

Volume 6 Issue 1 February - April 2018

Research Paper

Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh

Mahaboob Shareef Syed *, Ch.V.Suresh**, S. Siva Nagaraju ***

* Research Scholar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India.

** Associate Professor, Department of Electrical and Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur Andhra Pradesh, India.

*** Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India.

Syed, M. S., Suresh, V., and Sivanagaraju, S. (2018). Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh. i-manager’s Journal on Power Systems Engineering, 6(1), 1-13.https://doi.org/10.26634/jps.6.1.14043

Abstract

In the present work, the Load Frequency Control (LFC) problem of a real time bus test system of Andhra Pradesh state 124 (AP-124), India, has been studied. The system comprises of hydro, thermal, gas, and nuclear plants. The entire system is segregated into four control areas. Area 2 and Area 4 form a hybrid power system with wind and solar plants integration, as the availability of wind and solar resources are abundant in the respective areas. To overcome the chaotic behaviour of load and renewable energy generation, it is indeed necessary to develop a sophisticated controller. A hybrid Persistent – Extreme Learning Machine (P-ELM) controller was used to encounter the frequency and tie-line power deviations. The LFC has been studied by the Conventional Integral Control, Neural Network (NN) Control and P-ELM Control, with variations in load, wind, and solar generations as well.

Enhancement of Power Transfer Capability using TCSC

Volume 5 Issue 4 November - January 2018

Research Paper

Enhancement of Power Transfer Capability using TCSC

S. G. Ankaliki*, Priyanka R. Kinekar**

* PG Scholar, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.

** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.

Kinekar, R. P., and Ankaliki, G. S. (2018). Enhancement of Power Transfer Capability using TCSC. i-manager’s Journal on Power Systems Engineering, 5(4), 40.47. https://doi.org/10.26634/jps.5.4.14160

Abstract

In present days, increasing power demand leads to operate the transmission networks at their maximum operating limits. To overcome the problem of power flow control in a power system network, Thyristor Controlled Series Compensator (TCSC) is included. TCSC is one of the series compensating Flexible Alternating Current Transmission System (FACTS) devices; it consists of a series compensating capacitor shunted by a Thyristor Controlled Reactor (TCR). The main objective of TCSC is to provide partial continuously variable impedance by cancelling the effective compensating capacitance. The aim of this work is to improve the real power flow in the transmission line under different loading conditions and also simulation is carried out for different levels of compensation. In this work, performance analysis of electrical network using MATLAB Simulink and IEEE five bus system is carried out using Mi-Power tool.

Evaluation of Available Transfer Capability using Power World Simulator

Volume 5 Issue 4 November - January 2018

Research Paper

Evaluation of Available Transfer Capability using Power World Simulator

Manjula S. Sureban*, Shekhappa G. Ankaliki**

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

Sureban, M. S., and Ankaliki, G. S. (2018). Evaluation of Available Transfer Capability using Power World Simulator. i-manager’s Journal on Power Systems Engineering, 5(4), 34-39. https://doi.org/10.26634/jps.5.4.14159

Abstract

This paper presents the step by step procedure to evaluate Available Transfer Capability (ATC) of the interconnected transmission network using Power World Simulator. Fast and accurate determination of ATC is very important in real time. Various software packages have been developed to evaluate ATC of the given system. Also, there exist linear methods for ATC calculation, which are either based upon DC or AC Power Transfer Distribution Factors (PTDF). These are fast, but do not consider control changes such as generator reactive limits and voltage limits as the transfer limit increases. Another method to calculate ATC is Continuation Power Flow (CPF) method, which can produce accurate ATC values but requires repeated solution of power flow, and hence consumes more time. Also, there is a probabilistic approach to determine ATC, which is carried out by Monte Carlo Simulation. In this paper, PTDF method is explained to find ATC, which is implemented as Add Ons in Power World Simulator to compute ATC. The results are discussed for IEEE-14 bus system.

Distribution System Reconfiguration using Mesh Elimination Technique

Volume 5 Issue 4 November - January 2018

Research Paper

Distribution System Reconfiguration using Mesh Elimination Technique

E. Mounica *, P. Ravi Babu **

* M.Tech Graduate, Department of Electrical Engineering, Jawaharlal Nehru Technological University Hyderabad, India.

** Professor & Head of the Department, Department of Electrical Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India.

Mounica, E., and Babu, P. R. (2018). Distribution System Reconfiguration using Mesh Elimination Technique. i-manager’s Journal on Power Systems Engineering, 5(4), 24-33. https://doi.org/10.26634/jps.5.4.14158

Abstract

This work propounds a totally distinctive heuristic technique kenned as Mesh-Elimination (M-E) technique for reconfiguring an Electrical Distribution System. System reconfiguration can also be utilized as the multi objective implemented to tackle utterly different issues like loss diminution, load equalization, and amenity restoration in electrical power systems. This paper introduces some proficient algorithmic rules predicated upon M-E technique to unravel the issue of loss diminution for an electric power distribution system that is given. The M-E strategy is also an appealing heuristic technique in terms of computations, accustomed to ascertain optimum layout of a radial distribution system that is given. The projected algorithmic rules are encrypted in MATLAB. To establish the legitimacy of this algorithm, it has been experimented with traditional IEEE Sixteen, Thirty-three and Sixty-nine bus systems, and the obtained outcomes are habituated to corroborate the potential of the projected algorithmic rules to being applied to various other systems.

Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques

Volume 5 Issue 4 November - January 2018

Research Paper

Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques

Y. Anil Kumar *, N. Prema Kumar **

* Research Scholar, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

** Professor, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

Kumar, Y. A., and Kumar, N. P. (2018). Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques. i-manager’s Journal on Power Systems Engineering, 5(4), 15-23.https://doi.org/10.26634/jps.5.4.14157

Abstract

Growth in energy demand is more than the energy production due to various reasons like industrial growth, rapid urbanization, increasing affordability of electric gadgets, etc. The integration of existing grids with renewable energy sources provides economical, sustainable and efficient power distribution, and this allows to control the greenhouse effect. The reduction in power loss and voltage profile improves the distribution system, which can be done by using some techniques, such as feeder or network reconfiguration, VAR compensation with capacitor banks, and Distributed Generation (DG). DG is a localized small scale generation installed in the distribution network capable of injecting active power and providing limited reactive power support, reduced distribution losses, improved voltage profile in the system, hence, improving the quality of the power. The significant process is to improve the power quality of the system and this system is used to find the size of the DG unit and their suitable locations of the system. In this paper, IPSO and a new gradient free, meta-heuristic, population based algorithm called BAT Inspired Algorithm, are used to evaluate the optimal size and location of DG units. Distributed load flow is carried out for 33-bus and 69-bus systems to obtain power losses and voltage at each bus. Optimization techniques like IPSO and BAT algorithms are considered for the optimal placement and optimal sizing of Distributed Generators in radial distribution system by multi-objective optimization approach has been discussed. The practical application and efficiency of this method is determined by using two test systems (33 and 69-bus). The proposed methods are carried out using MATLAB.

Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's Ffor Power System with UPFC at Different Load Conditions

Volume 5 Issue 4 November - January 2018

Research Paper

Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's Ffor Power System with UPFC at Different Load Conditions

Kourosh Davoodi*, Yathisha L**, S. Patilkulkarni***

* Research Scholar, Department of Electronics and Communication, JSS Research Foundation, University of Mysore, Karnataka, India.

** Associate Professor, Department of Electronics and Communication,ATME College of Engineering, Mysore, India.

*** Professor, Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India.

Davoodi, K., Yathisha, L., and Patilkulkarni, S. (2018). Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's for Power System with UPFC at Different Load Conditions. i-manager’s Journal on Power Systems Engineering, 5(4), 1-14.https://doi.org/10.26634/jps.5.4.14156

Abstract

As a preliminary analysis, this paper presents the design of Bryson, Boudarel and Multistage-based Linear Quadratic Regulator (LQR) optimal controllers for the power system with Uniform Power Flow Controller (UPFC) at light, normal and heavy load conditions. For each load condition, the two best optimized feedback controllers are selected which is based on the preliminary analysis, and optimal switching strategy was implemented between two candidate controllers to optimize the output energy. The proposed solution is tested by using linearized Single Machine Infinite Bus (SMIB) Phillips-Heffron power system model installed with Uniform Power Flow Controller (UPFC). Simulation was done to verify the hypothesis using MATLAB/SIMULINK platform.