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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Surender Reddy Salkuti
Woosong University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Power system state estimation using teaching learning-based optimization algorithm Surender Reddy Salkuti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14159

Abstract

The main goal of this paper is to formulate power system state estimation (SE) problem as a constrained nonlinear programming problem with various constraints and boundary limits on the state variables. SE forms the heart of entire real time control of any power system. In real time environment, the state estimator consists of various modules like observability analysis, network topology processing, SE and bad data processing. The SE problem formulated in this work is solved using teaching leaning-based optimization (TLBO) technique. Difference between the proposed TLBO and the conventional optimization algorithms is that TLBO gives global optimum solution for the present problem. To show the suitability of TLBO for solving SE problem, IEEE 14 bus test system has been selected in this work. The results obtained with TLBO are also compared with conventional weighted least square (WLS) technique and evolutionary based particle swarm optimization (PSO) technique.
Design and comparative analysis of three phase, four phase and six phase switched reluctance motor topologies for electrical vehicle propulsion Sandeep Vuddanti; Vinod Karknalli; Surender Reddy Salkuti
Bulletin of Electrical Engineering and Informatics Vol 10, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i3.3054

Abstract

Switched reluctance motor (SRM) is attracting the scientific community in recent days because of its special structural benefits. Good research work has been conducted on this machine since the ages. It has evolved as an alternative to the conventional electrical machines in variable speed drives due to rugged architecture, high-speed operation, four quadrants, lack of magnet, and adaptability to harsh surroundings. This paper reviews different topologies of SRM for electric vehicle (EV) application and a comparative study of suitable machines for electric vehicle propulsion. This paper elaborates on the design methodology and the analysis of various phases of operation of SRMs. During the design procedure, the finite element method (FEM) of optimization is used to enhance motor performance. In this study, the three different phase (3, 4 and 6) motors are analyzed in machine design software and finite element analysis outcomes and SRM simulation approach are discussed.
An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement Surender Reddy Salkuti; Neelakanteshwar Rao Battu
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i4.2867

Abstract

Distribution system represents a crucial portion of power system as it is the connection between the bulk power transmission network and the customers connected at load point. Distribution networks are increasing in size and are spread too far. Low reactance to resistance ratio and large size of network leads to higher power losses in lines and low node voltage at customer end. High power losses reduce the efficiency and affect the economy. Therefore, in this paper an algorithm for reconfiguration of distribution system for loss reduction and voltage profile enhancement is proposed. The proposed reconfiguration approach has been applied to 16 bus radial distribution system (RDS).
Microstrip antenna optimization using evolutionary algorithms Kalpa Ranjan Behera; Surender Reddy Salkuti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i3.pp836-842

Abstract

Different structures of microstrip antenna optimization using different algorithms are the important field of wireless communications. Rectangular microstrip antenna, inverted E-shaped antenna, tulip shaped antenna are some examples of microstrip antennas. The antenna dimensions are optimized by different algorithms. The operating frequencies for different antenna structures depend on antenna dimensions. The frequency of operation is 3-lS GHz for rectangular antenna, IMT-2000 for invelted E-shaped antenna, 8 to 12 GHz for tulip shaped antenna, 2.16 GHz for miniaturized antenna structure. The dimensions of microstrip antennas are modified to get minimum reflection coefficient maximum gain and bandwidth. The dimensions are modified using different algorithms such as evolutionary algorithm, particle swarm optimization (PSO), artificial neural network (ANN), and genetic algorithms (GA).
Artificial fish swarm optimization algorithm for power system state estimation Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1130-1137

Abstract

In this paper, the power system state estimation (SE) problem is formulated as a general non-linear programming problem with equality constraints and boundary limits on the state variables. The proposed SE problem is solved using an evolutionary based Artificial Fish Swarm Optimization Algorithm (AFSOA). The AFSOA is a global search algorithm based on the characteristics of fish swarm and its autonomous model. The detailed algorithm with its flow chart is presented in this paper. To show the effectiveness of the proposed SE approach, six bus test system is considered. The obtained results are compared with other algorithms reported in the literature.
Connection status report generator Pratyush Gupta; Somnath Banerjee; Debani Prasad Mishra; Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 2: May 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i2.pp1069-1077

Abstract

This paper presents “Connection Status Report Generator” which is an auto executable application and it generates a detailed textual and pictorial representation of the network connectivity status of a particular computer and sends the generated reports to the concerned party. The features developed in this paper aim to constantly monitor the network connectivity status as well as ease the troubleshooting process of finding the major cause of call-drops which is a popular problem in every industry. This paper is divided into three major sub-categories of real-time connection status tracker, report generator, and the image viewer interface. The proposed executable application is coded in Java and designed to run as a background application with minimal system prerequisites.
Deadlock detection in distributed system Kshirod Kumar Rout; Debani Prasad Mishra; Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 3: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i3.pp1596-1603

Abstract

In highly automated devices, deadlock is a case that occurs when no system can permit its event which may give irrelevant economic losses. A process can request or release resources that are either available or are on hold by others. If a process requesting a resource is not available at any time, then that process enters into the waiting state. But if a waiting state is not converted into its present state, it enters more than two processes are having an indefinite waiting state. The proposed algorithm gives an efficient way for deadlock detection. For the implementation of this work, C++ and python as the basic programming language are used. It gives an idea about how resources are allocated, and how few processes result in deadlock.
Optimal operation management of grid-connected microgrids under uncertainty Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1163-1170

Abstract

This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.
Comparison of DC-DC converters for solar power conversion system Debani Prasad Mishra; Rudranarayan Senapati; Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp648-655

Abstract

This paper covers the comparison between four different DC-DC converters for solar power conversion. The four converters are buck converter, buck-boost converter, boost converter, and noninverting buck-boost converter. An MPPT algorithm is designed to calculate battery voltage, current of PV array, the voltage of PV array, power of PV array, output power. It is observed that the non-inverting buck-boost converter is the finest converter for solar power conversion. The final circuit design has the results of 12.2V battery voltage, 0.31A current of PV array, 34V voltage of PV array, 23mW power of PV panel, and 21.8mW of output power. The efficiency of this system is nearly 95%. All four circuits are simulated in MATLAB/Simulink R2020b.
Electrical load forecasting through long short term memory Debani Prasad Mishra; Sanhita Mishra; Rakesh Kumar Yadav; Rishabh Vishnoi; Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 1: January 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i1.pp42-50

Abstract

For a power supplier, meeting demand-supply equilibrium is of utmost importance. Electrical energy must be generated according to demand, as a large amount of electrical energy cannot be stored. For the proper functioning of a power supply system, an adequate model for predicting load is a necessity. In the present world, in almost every industry, whether it be healthcare, agriculture, and consulting, growing digitization and automation is a prominent feature. As a result, large sets of data related to these industries are being generated, which when subjected to rigorous analysis, yield out-of-the-box methods to optimize the business and services offered. This paper aims to ascertain the viability of long short term memory (LSTM) neural networks, a recurrent neural network capable of handling both long-term and short-term dependencies of data sets, for predicting load that is to be met by a Dispatch Center located in a major city. The result shows appreciable accuracy in forecasting future demand.
Co-Authors Abhisek Sahoo Aditya Prasad Mahapatra Aishwarya Priyadarshini Amba Subhadarshini Nayak Ambika Prasad Hota Ambuj Shukla Ankit Gupta Anwesh Pattnaik Arghya Sardar Arun Kumar Sahoo Arun Kumar Sahoo Ashutosh Singh Chauhan Asutosh Samal Atman Panigrahi Bhabani Shankar Panda Bishweashwar Sukla Dashmat Hembram Debani Prasad Mishra Debani Prasad Mishra Debani Prasad Mishra Debani Prasad Mishra Debani Prasad Mishra Debani Prasad Mishra Debani Prasad Mishra Debani Prashad Mishra Drishana Jhunjhunwalla Gangavaram Teja Rishitha Harikrishnan K. M. Jayanta Kumar Sahu Jayanta Kumar Sahu Kalpa Ranjan Behera Kaushiki Agrawal Kshirod Kumar Rout Kshirod Kumar Rout Kshirod Kumar Rout Kshirod Kumar Rout Kunal Badapanda Mandakurit Nivas Mandakuriti Nivas Monalisa Panda Neelakanteshwar Rao Battu Nimay Chandra Giri Nitish Saswat Mallik P. Sravanthi Padarabinda Palai Pallavi V. Honagond Pankaj Sharma Papia Ray Pooja S. Pujari Prakash Kumar Ray Pranay Kumar Panda Pratyush Gupta Priyansh Kasyap Rakesh Kumar Yadav Ramakanta Mohanty Rambilli Krishna Prasad Rao Naidu Rambilli Krishna Prasad Rao Naidu Rishabh Vishnoi Rudra Narayan Senapati Rudranarayan Senapati S. Narasimha S. Narasimha S. S. Saswat Sandeep Vuddanti Sanhita Mishra Sanhita Mishra Saroj Kumar Panda Seong-Cheol Kim Sivkumar Mishra Sivkumar Mishra Sivkumar Mishra Sivkumar Mishra Smrutisikha Jena Somnath Banerjee Sopa Mousumi Patro Soumya Ranjan Das Sravanthi Pagidipala Subhrajit Jena Suchitra Shastri Suman Patra Suman Patra Swarnodeep Kar Truptasha Tripathy V. Sandeep Varun N. John Vinod Karknalli