Asymmetric Information in Military Microgrid Confrontations—Evaluation Metric and Influence Analysis

Peng Jiang, Shengjun Huang and Tao Zhang
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Peng Jiang: College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
Shengjun Huang: College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
Tao Zhang: College of Systems Engineering, National University of Defense Technology, Changsha 410073, China

Energies, 2020, vol. 13, issue 8, 1-21

Abstract: Due to the wide integration of information technology in equipment and weapons, a stable and reliable power supply has become one of the pivotal factors in modern warfare to achieve victory. As a critical infrastructure to provide continuous energy supply during long-duration electrical outage, military microgrid always suffers fierce attacks from the enemy. In order to improve the defense effect, a lot of investigation has been made into resource allocation, Distributed Generator (DG) distribution, network reconfiguration, and so forth. Nevertheless, the information gap between defender and attacker has not been considered in the literature. Therefore, this paper is intended to highlight this information mismatch to appeal for community attention and evaluate its capability to improve defensive performance. Firstly, a novel assessment metric is proposed to identify the level of asymmetric information. Then, an Attacker-Defender (AD) model is developed to describe the zero-sum game between two opposite agents, which is subsequently tackled with dual theory and big- M method. Finally, three cases ranging from 6-bus to 57-bus are utilized for numerical experiments to analyze the influence of asymmetric information on military microgrid confrontation. Results on various levels of attack strength validated the effectiveness and significance of asymmetric information in eliminating the attack damage and improving the defensive performance.

Keywords: asymmetric information; microgrid confrontation; attacker-defender model; mixed integer linear programming (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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