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Abstract
The cost-effectiveness of the hybrid design of microgrids for determining if a hybrid MG system is necessary is taken into consideration as the study focuses on improving power access in an optimal and economical manner. Both the cost of electricity (COE) and the loss of power supply probability (LPSP) of the hybrid MG design are optimized. The hybrid microgrid design including the photovoltaic (PV)-wind systems with battery storage and diesel generators are modeled and optimized for technical and economic feasibility using MATLAB. The energy management technique is applied between hybrid energy sources and loads. For this hybrid microgrid energy management system, an optimisation approach called spider monkey optimization (SMO) is employed. Using their distinct fission and fusion techniques, spider monkeys always engage in natural foraging behavior. Here, a variety of common constraints related to PV, wind, energy storage elements, inverters, and diesel generators with a variety of cost functions and dimensions are resolved by the proposed optimization method. The SMO optimization method is used to find a utilitarian optimal hybrid energy system configuration with a minimum COE, minimum LPSP, and leading renewable factor to meet the customer load throughout the entire time horizon.
Acknowledgment
There is no acknowledgement involved in this work.
Author Contributions
All authors contributed equally to this work.
Ethics Approval and Consent to Participate
No participation of humans takes place in this implementation process.
Human and Animal Rights
No violation of Human and Animal Rights is involved.
Disclosure Statement
No potential conflict of interest was reported by the authors.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
Additional information
Funding
Notes on contributors
T. Sathesh Kumar
T. Sathesh Kumar was born in Pollachi, India in 1989. He was received B.E degree in Electrical and Electronics Engineering from Muthayammal Engineering College, Rasipuram during 2011 and received M.E degree in Power Electronics and Drives from Muthayammal Engineering College, Rasipuram during 2013. He is currently pursuing Ph.D. degree in Electrical Engineering at Anna University, Chennai, India and working as an Assistant Professor in Department of Electrical and Electronics Engineering at Dr. Mahalingam College of Engineering and Technology, Pollachi, India. His research interests are Energy Management and Control & Cost Analysis in Microgrid, Renewable Energy Sources, Power Quality, Industrial Drives and Controls, Soft Computing and Intelligent Techniques.
T. Venkatesan
T. Venkatesan was born in Salem, India, in 1971. He received B.E degree in Electrical and Electronics Engineering from Regional Engineering College, Tiruchirappalli during 1997 and received M.E degree in Power System Engineering from Annamalai University, Chidambaram, India during 2002 and he receives Ph.D. from Anna University, Chennai during 2013. Currently he is working as a Professor in Department of Electrical and Electronics Engineering at K.S. Rangasamy College of Technology, Tiruchengode, India. His research interests are Economic Dispatch and Unit Commitment problem solution using Demand Response and Control Techniques, Soft Computing Techniques, Renewable Energy Sources, Energy Management & Control, Electrical Drives and Intelligent Techniques.