Reliability and Availability Optimization of Smart Microgrid Using Specific Configuration of Renewable Resources and Considering Subcomponent Faults

Geeta Yadav, Dheeraj Joshi, Leena Gopinath and Mahendra Kumar Soni
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Geeta Yadav: Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad 121004, India
Dheeraj Joshi: Department of Electrical Engineering, Delhi Technological University, Delhi 110042, India
Leena Gopinath: Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad 121004, India
Mahendra Kumar Soni: Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad 121004, India

Energies, 2022, vol. 15, issue 16, 1-16

Abstract: In this paper, renewable resources, namely photovoltaic panels (PV), are placed in a specific configuration to obtain the maximum reliability and availability of a microgrid and study the subcomponent-level reliability and availability. The reliability of components can be increased by trying different configurations of the components. We identify the preferred configuration used for the PV panels as bridged linked. The overall reliability of the microgrid is increased when component-wise reliability is considered. Even components are further divided into subcomponents, and the multiple faults of each component are considered. The method used for the reliability evaluation and availability study is Markov state transition modeling. The microgrid’s reliability and availability are plotted concerning time using Matlab. The optimization of reliability and availability is conducted through optimization techniques such as the genetic algorithm (GA) and artificial neural networks (ANN). The results are compared and validated for the optimal values of mean time to failure (MTTF) and mean time to repair (MTTR). Using a genetic algorithm, there is a 96% of improvement in the reliability, and after applying the neural networks, a significant improvement of 97% along with quick results is achieved.

Keywords: microgrid; reliability; bridge-linked configuration; failure rate; Markov model; state transition diagram (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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