Ramamoorthi R

@gcesalem.edu.in

Assistant Professor/EEE
Government College of Engineering-Salem



                    

https://researchid.co/ramamoorthir

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering

4

Scopus Publications

7

Scholar Citations

1

Scholar h-index

Scopus Publications


  • An improved golden jackal optimization algorithm for combined economic emission dispatch problems
    Ramamoorthi Ragunathan and Balamurugan Ramadoss
    Institute of Advanced Engineering and Science
    In this research paper, a new improved golden jackal optimization (IGJO) algorithm is applied to address the combined economic emission dispatch (CEED) problem, along with various thermal generator constraints such as valve point loading (VPL) effect, generator limits (GL) in power system. The hunting behavior of the golden jackals is mimicked in the golden jackal optimization (GJO) algorithm. The main aim of the CEED problem is to find the best optimal generation scheduling while minimizing both fuel cost and emission besides meeting the different power system constraints. The original GJO algorithm faces challenges when dealing with high-dimensional optimization problems, as it tends to get trapped in local optima. To address this issue the opposition-based learning (OBL) method was adopted in this GJO algorithm to obtain the global optimal solution and ensure enhanced performance in finding the solution for the CEED problems. To assess the competitiveness of the IGJO algorithm, it is used for various CEED test problems available in the literature, and results are contrasted with other recent heuristic optimization algorithms. Simulation results show that the proposed IGJO performs more effectively than the other compared algorithms in terms of solution quality, and robustness.

  • Golden jackal optimization for economic load dispatch problems with complex constraints
    Ramamoorthi Ragunathan and Balamurugan Ramadoss
    Institute of Advanced Engineering and Science
    This research paper uses the golden jackal optimization (GJO), a novel meta-heuristic algorithm, to address power system economic load dispatch (ELD) problems. The GJO emulates the hunting behavior of golden jackals. GJO algorithm uses the cooperative attacking behavior of golden jackals to tackle complicated optimization problems efficaciously. The objective of ELD problem is to distribute power system load requirement to the different generators with a minimum total fuel cost of generation. ELD problems are highly complex, non-linear, and non-convex optimization problems while considering constraints namely valve point loading effect (VPL) and prohibited operating zones (POZs). The proposed GJO algorithm is applied to solve complex, non-linear, and non-convex ELD problems. Six different test systems having 6, 10, 13, 40, and 140 generators with various constraints are used to validate the usefulness of the suggested GJO method. Simulation outcomes of the test system are compared with various algorithms reported in the algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), and backtracking search algorithm (BSA). Results show that the proposed GJO algorithm produces minimal fuel cost and has good convergence in solving ELD problems of power system engineering.

  • A hybrid approach based energy management of hybrid energy systems with efficient economic model
    Ramamoorthi Ragunathan, P. Rajesh, Francis H Shajin, and R. Sakthivel
    Informa UK Limited

RECENT SCHOLAR PUBLICATIONS

  • A hybrid approach based energy management of hybrid energy systems with efficient economic model
    R Ragunathan, P Rajesh, F H Shajin, R Sakthivel
    Smart Science 12 (4), 535-554 2024

  • Golden jackal optimization for economic load dispatch problems with complex constraints
    R Ragunathan, B Ramadoss
    Bulletin of Electrical Engineering and Informatics 13 (2), 781-793 2024

  • Implementations of Golden Jackal Algorithm for Solving CCFELD Problems
    R Ramamoorthi, R Balamurugan
    Journal of Soft Computing Paradigm 5 (2), 164-180 2023

  • SOLVING ECONOMIC EMISSION DISPATCH PROBLEM OF THERMAL GENERATORS USING GREY WOLF ALGORITHM
    R Ramamoorthi, R Balamurugan
    International Research Journal of Modernization in Engineering Technology 2023

  • Solving Economic Load Dispatch Problem Using Grey Wolf Optimization Algorithm
    R Ramamoorthi, R Balamurugan
    International Journal for Research in Applied Science & Engineering 2023

  • Power Quality Study in an Educational Institution-A Case Study
    R Ramamoorthi, S Nirmalkumar
     2022

  • ARTIFICIAL NEURAL NETWORK-BASED TRANSIENT STABILITY ASSESSMENT OF WSCC 9 BUS AND NEW ENGLAND 39 BUS SYSTEMS
    S Nirmalkumar, R Ramamoorthi

MOST CITED SCHOLAR PUBLICATIONS

  • Golden jackal optimization for economic load dispatch problems with complex constraints
    R Ragunathan, B Ramadoss
    Bulletin of Electrical Engineering and Informatics 13 (2), 781-793 2024
    Citations: 7