A Cost-Effective System of Renewable Micro Grid using Glowworm Swarm Optimization Algorithm

Authors

  • M. Gnanaprakash Department of Electrical and Electronics Engineering, University College of Engineering, Panruti, Tamil Nadu, India
  • S.P. Mangaiyarkarasi Department of Electrical and Electronics Engineering, University College of Engineering, Panruti, Tamil Nadu, India
  • A. Cherish Tony Department of Electrical and Electronics Engineering, University College of Engineering, Panruti, Tamil Nadu, India

DOI:

https://doi.org/10.3126/lecj.v4i1.49367

Keywords:

Micro-grid, RESs, Glowworm Swarm Optimization Algorithm, DG

Abstract

Due to today's rapid socioeconomic expansion and environmental concerns, many modern civilizations are interested in researching alternate energy options, notably renewable ones. In this sense, a Micro-grid (MG) of multiple renewable energy sources can help achieve the intended goals while delivering electricity more efficiently, affordably, and safely. This paper presents an expert multi-objective Glowworm Swarm Optimization Algorithm (GSO) for optimal operation of a typical MG with Renewable Energy Sources (RESs). The objective is to minimize both the overall operating cost and the net emission. The proposed algorithm is tested on a typical MG, and its superior performance is compared to those from other evolutionary algorithms.

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Published

2022-12-07

How to Cite

Gnanaprakash, M., Mangaiyarkarasi, S. and Tony, A. C. (2022) “A Cost-Effective System of Renewable Micro Grid using Glowworm Swarm Optimization Algorithm”, Journal of Lumbini Engineering College, 4(1), pp. 54–58. doi: 10.3126/lecj.v4i1.49367.

Issue

Section

Research Articles