The energy management of islanded micro grid system using farmland fertility algorithm

ABSTRACT

An energy management in micro grid portrays a significant role in coordinating the generation with the load demand and it is characterized as an optimization problem evaluated for economic dispatch (ED). In microgrid, energy management issues have thus far primarily been addressed with the purpose of lowering the operational costs. However, for a microgrid system to manage energy effectively, the environmental problems, or issues regarding emission must be addressed. In this research work, a novel metaheuristic approach, known as farmland fertility algorithm (FFA) is proposed for obtaining ED and integrated economic emission dispatch (IEED). The different test cases for ED and IEED are considered to minimize the fuel and the emission cost respectively. For the different cases contemplated for ED and IEED, the generation cost reduces after the inclusion of RES, and also in the case when wind energy source is included alone. These results depict that the ED and IEED perform using FFA achieves a cost optimization of 9.2% and 19.51% respectively. The ED and IEED with FFA offer more cost saving and provides reduced emission in comparison to reduced gradient method (RGM), ant colony optimization (ACO), cuckoo search algorithm (CSA), interior search algorithm (ISA), Bat algorithm (BA) and directional bat algorithm (dBA).

KEYWORDS:

• - Energy Management System
• Economic dispatch
• Farmland fertility algorithm
• Micro grid
• Distributed energy resources
• Distributed generator

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Toshi Mandloi

Toshi Mandloi is an Assistant Professor in the Department of Electrical Engineering, she received her Master's degree in Electrical Engineering with a specialization in Digital techniques and instrumentation from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009 and her bachelor degree in Electrical Engineering in 2005 from Shri Govindram Seksaria Institute of Technology & Science, Indore, India. Her research interests include economic dispatch in microgrids and power system optimization.

Shailendra Kumar Sharma

Dr. Shailendra Kumar Sharma is an Associate Professor in the Department of Electrical Engineering, at Shri Govindram Seksaria Institute of Technology & Science, Indore, India. He earned his doctorate from the Indian Institute of Technology in Delhi, India, in 2012. He was a post-doctoral research fellow in the Department of Electrical Engineering at École de Technologie Supérieure (ETS), Universié du Québec, Montréal, Canada from Jan.-Dec. 2015. He has two Indian patents in his credit in the field of renewable energy. He has published thirty papers in Journals of international repute including IEEE and IET. His main research interests are in control of stand-alone non-conventional energy sources, Grid control under penetrations of distributed energy resources, power quality improvements, smart loads, solid-state transformers, and control of special machine drives. Dr. Shailendra Kumar Sharma is a senior member, of IEEE and an Associate Member of the Institution of Engineers (India).

S.C. Choube

Dr. S. C. Choube is Dean of the Faculty of Electrical & Electronics Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He received his Ph.D. degree in Electrical Engineering, from Devi Ahilya Vishwavidyalaya Indore, India in 1998. He received his Master's degree in Electrical Engineering from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 1987, and his bachelor’s degree in Electrical Engineering in 1982 from Shri Govindram Seksaria Institute of Technology & Science, Indore, India. His main research interests are in power systems and optimization techniques. He has published eighty-three research papers in Journals of international repute including IEEE and IET.