venkatrami reddy
@recw.ac.in
ELECTRICAL AND ELECTRONICS ENGINEERING
RAVINDRA COLLEGE OF ENGINEERING FOR WOMEN
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Electrical and Electronic Engineering
Scopus Publications
Scholar Citations
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Scopus Publications
Y Hazarathaiah and B V Rami Reddy
IEEE
Grid connected solar power plants are widely established in many places worldwide. Photovoltaic (PV) based grid connected solar plants are attracting recently due to improved in controlling of power converters. Single stage grid connected systems can reduce number of converters connected in power plants which resultant in reduce cost of the system. However, DC to DC converters are generally used in PV systems to enhance the operation of maximum power point for best utilization. The inverters also can be using to extract maximum power from PV systems through new controlling techniques in power electronics devises. Therefore an extra DC to DC converter is not required to make PV at its maximum power point condition. However, this technology can be used for small scale solar power plants since all PV arrays in solar power plant cannot be received same irradiance. Takagi-Sugeno-Kang (TSK) fuzzy controller is having significant priority than proportional plus integral controllers when rapid changes are having in input. Hence, TSK based single stage controller is developed in this paper for grid connected 1MW solar plant. Generally distribution system is connected with unbalanced loads, hence these unbalanced loads will create forcefully unbalanced currents in electrical grid. Unbalanced grid currents further create many problems to other loads. Therefore, the proposed controller is designed to help making grid currents balanced during unbalanced local loads. Further, the inverter can compensate reactive power demanded by local loads to minimize reactive power supplied by grid. On the OPAL-RT platform, extensive data are provided and assessed in order to improve the performance of the proposed controller for a 1MW grid-connected solar plant.
B. V. Rami Reddy, P. Sujatha, and Y. V. Siva Reddy
Springer Singapore
B.V. Rami Reddy, Y.V. Siva Reddy, and P. Sujatha
IEEE
In this paper, the combination of fuzzy logic controller and genetic algorithm are proposed. A fuzzy control system is a control system based on fuzzy logic a mathematical system that analyzes analog input values in terms of logical variables. The purpose of fuzzy system is to determine the capacity of interline power flow controller (IPFC) in terms of voltage deviation. The optimal location of IPFC is done by genetic algorithm (GA), which generates solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. The proposed technique maintains the voltage stability and minimizes the transmission loss of the transmission system. For analyzing the nonlinear power flow of the transmission system, Newton Raphson method is utilized. The proposed technique is implemented in MATLAB working platform and its performance is tested with IEEE 30 bus system.
B. V. Rami Reddy, P. Sujatha, and Y. V. Siva Reddy
Praise Worthy Prize
The latest flexible AC transmission systems (FACTS) device, known as interline power flow controller (IPFC), is the most versatile device used for controlling power flows in multiple transmission lines. When the load on the transmission line is drastically increased the power losses and voltage deviation increase in the system leading to line outages and power system network may become unstable. An algorithm for the IPFC optimal location is proposed in this paper. The proposed algorithm improves voltage stability under the over loaded line outage contingency in a power system network. The transmission line outages are calculated and ranked on the basis of their performance index. The proposed method is tested for IEEE-30 bus system by using MATLab software and the results are compared with SVC device for the same configuration of the network.