Reliability evaluation of microgrid information physical system based on stochastic matrix theory

Shi Qiu; Zhe Chen; YuYang Song; Guangyong Yang

doi:10.1117/12.3030523

5 June 2024 Reliability evaluation of microgrid information physical system based on stochastic matrix theory

Shi Qiu, Zhe Chen, YuYang Song, Guangyong Yang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131634S (2024) https://doi.org/10.1117/12.3030523
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

At present, the control and operation of microgrids rely on information feedback and decision-making. This presents new challenges for cyber-physical systems (CPS) of microgrids. Therefore, a reliability evaluation method of microgrid information physical system based on stochastic matrix theory is proposed in this paper. Firstly, the evaluation index is established, and then the reliability evaluation method of network system based on information entropy is studied. Secondly, based on the random matrix theory, a reliability assessment model of the system is constructed, and the statistical characteristics of the matrix are used to identify the abnormal conditions of the system, thus solving the problems of traditional distribution network modeling difficulties and low data utilization. Finally, the proposed theory and method are numerically simulated by a microgrid composed of two distributed cooling, heating and power supply systems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shi Qiu, Zhe Chen, YuYang Song, and Guangyong Yang "Reliability evaluation of microgrid information physical system based on stochastic matrix theory", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131634S (5 June 2024); https://doi.org/10.1117/12.3030523

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available