A Robust Power Grid Defense Model Considering Load Demand and Wind Generation Uncertainties
Yingmeng Xiang, Xiaohu Zhang, Di Shi, Yanming Jin, Zhiwei Wang,, Lingfeng Wang

TL;DR
This paper presents a comprehensive model for power grid defense that accounts for load demand and wind generation uncertainties, attack-defense interactions, and operator responses, validated through simulations on a standard system.
Contribution
It introduces a novel defender-attacker-nature-operator model incorporating uncertainties and interactions, solved with C&CG algorithm, advancing power grid security strategies.
Findings
Model effectively captures load and wind uncertainties.
Simulation results confirm the model's validity.
Proposed approach enhances power grid defense strategies.
Abstract
It is a major task to develop effective strategies for defending the power system against deliberate attacks. It is critical to comprehensively consider the human-related and environmental risks and uncertainties, which is missing in existing literature. This paper considers the load demand uncertainties and wind generation uncertainties in addition to the interactive attacker/defender behaviors. Specifically, a defender-attacker-nature-operator model is proposed, which incorporates the attack/defense interaction, the corrective re-dispatch of the operator, the coordination between the attack strategy and the stochastic nature of load demands and wind generations. The Column-and-Constraint Generation (C&CG) algorithm is adopted for solving the proposed model by decomposing the proposed model into a master problem and a sub-problem. Simulations are performed using MATLAB and CPLEX on a…
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Taxonomy
TopicsSmart Grid Security and Resilience · Infrastructure Resilience and Vulnerability Analysis · Power System Reliability and Maintenance
