iosr-JEEE   Volume-13 ~ Issue-2 ~ March-April 2018

Abstract: A new control scheme to improve and maintain the power quality of an electrical power system is distributed power flow controller (DPFC).The DPFC is derived from the unified power-flow controller (UPFC). The DPFC can be considered as a UPFC with an eliminated common dc link. The active power exchange between the shunt and series converters which is through the common dc link in the UPFC is now through the transmission lines at the third-harmonic frequency. In DPFC the common link between shunt converter and series converter is eliminated and instead of three phase series converter several single phase distributed series converters are modeled. The large number of series converters provides redundancy, thereby increasing the system reliability. Nowadays there is growth in Electricity demand and increase in non-linear load causes the major power quality problems like harmonics voltage sag and swell in power grid. Experimental results are carried out in MATLAB/Simulink.
Key Words: Distributed power flow controller (DPFC), Power Quality, voltage sag and swell mitigation.

[1]. Akula N,V.V Rajasekhar, Mamidi, Naveen Babu ―Harmonic Reduction and Power Quality improvement using DPFC‖ International Conference onElectrical, Electronics, and Optimization Techniques (ICEEOT) – 2016.
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[3]. Zhihui Yuan, Sjoerd W.H de Haan and Braham Frreira ―DPFC control during shunt converter failure‖ IEEE Transaction on Power Electronics 2009,Honolulu.
[4]. Sarimalla Pedakotaiah, Santosh ―A Simulation of Distributed Power-Flow Controller‖ International Journal of Engineering and Science, ISBN: 2319-6483,ISSN: 2278-4721, Vol. 2, Issue 1.
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Abstract: Increasing attention is being paid to optimization of energy consumption in electric traction system to reduce operational cost. Electric traction system requires electric power for propulsion of vehicles. One of the main objective of electric traction system is to provide better quality services which implies increasing speed and decreasing travel time. It results in increase in energy consumption. This paper deals with the optimization of energy consumption and various methods that can be used for it. Mathematical equation for energy consumption is formulated by using speed time curve. Interior point algorithm is used for optimization of energy consumption in electric traction system.
Key Words: Energy consumption, Interior point algorithm Electric traction system, Electric locomotive, Optimization

[1]. Saurabh Gupta, Priya Mahajan and Rachana Garg; "Tractive energy optimization in railway electric traction system"; 1st IEEE International Conference on Power Electronics; Intelligent Control and Energy Systems (ICPEICES-2016).
[2]. Y. Song and W. Song; "A novel dual speed-curve optimization based approach for energy-saving operation of high-speed trains"; IEEE Transactions on Intelligent Transportation Systems; pp. 1-12; Jan 2016.
[3]. S. Gupta; P. Mahajan and R. Garg; " Sensitivity model of energy consumption by railway electric locomotive"; Annual IEEE India Conference; New Delhi; pp. 1-5; 17-20 Dec. 2015.
[4]. Shuai Su; Tao Tang and Clive Roberts; "A cooperative train control model for energy saving"; IEEE transactions on intelligent transportation systems; vol. 16; pp. 622-631; April 2015
[5]. Z. Tian; S. Hillmansen; C. Roberts and P. Weston; "Modelling and simulation of DC rail traction systems for energy saving"; International Conference on intelligent transportation systems (ITSC); Qingado; pp. 2354-2359; Oct. 2014..

Abstract: The paper elucidates a fault detection and protection scheme for a 200MVA transformer using Fuzzy logic. Fuzzy logic (FL) tool box in MATLAB/ SIMULINK software was utilized in the simulation system that diagnosed transformer faults and also monitors its operating conditions. Current and rate of change of current with time have been identified as the input variables, duly represented in the programme as "Error" and "Error-Dot". These variables have their universe of discourse from -1.5 to 1.5 and from -10 to 10 respectively. Fuzzy logic sensor is designed to monitor the current (i) conditions of the transformer at both ambient and full load. The results from the research show that whenever the output response is zero the current in transformer is normal. This is obtained when input values of [0] and [0] are injected into the system to produce a response of "6e-017" which is approximately zero........
Key Words: Fault, detection, current, voltage, controller

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