Condition-Based Multi-State-System Maintenance Models for Smart Grid System with Stochastic Power Supply and Demand

Chun-Ho Wang, Chao-Hui Huang and Deng-Guei You
Additional contact information
Chun-Ho Wang: Department of Power Vehicle and Systems Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 334, Taiwan
Chao-Hui Huang: Department of Information Management, R.O.C. Naval Academy, Kaohsiung 813, Taiwan
Deng-Guei You: School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Taoyuan 334, Taiwan

Sustainability, 2022, vol. 14, issue 13, 1-29

Abstract: This study established power-related efficiency measures from the perspective of reliability, namely, power system availability, expected power deficiency, accumulated power deficiency, instantaneous power capacity, and accumulated power capacity for a hybrid power system (HPS) in a generic smart grid. Methodologically, a power supply–demand stochastic model that simultaneously considers the inherently stochastic nature of power supply and demand was developed to quantify their interrelationship and characterize the dynamic behavior of an HPS in a continuous-time Markov chain. Preventive maintenance (PM) models were also constructed to determine the optimal PM strategy in alignment with specific scenarios that reflect the power performance requirements and resource limitations. A sensitivity analysis was conducted using the design of experiments (DOE) scheme that simulated climate change and revealed that extreme climate worsens power-related efficiency measures. This analysis provides further insight into the extent to which extreme climate conditions diminish the engineers and designers of smart grid systems’ power-related efficiency measures. The proposed approach will potentially contribute to sustainability and maintainability in the clean energy industry.

Keywords: hybrid power system; Markov chains; power system availability; preventive maintenance; renewable energy sources (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/13/7848/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/13/7848/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:13:p:7848-:d:849372

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().