@article{Gnanaprakash_Mangaiyarkarasi_Tony_2022, title={A Cost-Effective System of Renewable Micro Grid using Glowworm Swarm Optimization Algorithm}, volume={4}, url={https://www.nepjol.info/index.php/lecj/article/view/49367}, DOI={10.3126/lecj.v4i1.49367}, abstractNote={<p>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.</p>}, number={1}, journal={Journal of Lumbini Engineering College}, author={Gnanaprakash, M. and Mangaiyarkarasi, S.P. and Tony, A. Cherish}, year={2022}, month={Dec.}, pages={54–58} }