Abstract
The penetration of renewable energy generations, e.g., wind power, not only introduces the randomness and fluctuations into power system operations but also increases the possibilities of cybersecurity issues. Among them, false data injection attack (FDIA) can access and falsify the readings of smart meters, which would impede the functionalities of power systems. In this paper, we first set up an evaluation model to identify the set of high-risk lines by investigating the relationship between FDIA and wind power uncertainty. Then, for a power system with a high wind penetration, a tri-level preventive dispatch strategy is proposed to ensure the system security even under the worst-case of FDIA. It is demonstrated that the impacts of FDIA can cause more serious security issues as the wind penetration level increases. The effectiveness of the proposed tri-level preventive dispatch strategy in mitigating the FDIA caused overloading risk is validated using the IEEE 118-bus system.
Highlights
With the growing penetration of renewable energy resources, advanced information and control infrastructures, current power systems integrate multi-source electrical networks and multiple information networks [1]-[3]
Different from the existing work, this paper aims to investigate the combined risk of false data injection attack (FDIA) against loads and forecasted wind power data in the power system with high wind penetration by answering the following questions: 1) Will the risk level of the system be significantly underestimated without considering the FDIA against forecasted wind power? And will the penetration of wind power cover the risk of FDIA? 2) How to adjust the dispatch strategy to mitigate the FDIA caused overloading risks in power systems with high wind power penetration? These questions motivate us to propose an evaluation model and develop a preventive dispatch strategy as effective countermeasures
We demonstrate that the relationship between the FDIA against loads and wind power (FDIA-DW) and the penetration level of wind power is not a simple linear one, and show that the high integration of wind power could cover the risk of FDIA
Summary
With the growing penetration of renewable energy resources, advanced information and control infrastructures, current power systems integrate multi-source electrical networks and multiple information networks [1]-[3]. The rapid increasing penetration of wind power helps significantly alleviate potential energy and environmental crises. The proportion of wind power output reached more than 30% of electricity demand in Iowa and South Dakota in 2016 [4]. In 2018, the total installed capacity of wind power in the world achieved approximately 591.55GW, and China accounted for more than 35% [5]. The Global Wind Energy Council (GWEC) expects that a quarter of the world electricity can be provided by renewable energy in 2035 [6]. This paper aims to address the cybersecurity issues in power systems with high wind penetration
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