Abstract

The cybersecurity of wind farms is an increasing concern in recent years, and its impacts on the power system reliability have not been fully studied. In this paper, the pressing issues of wind farms, including cybersecurity and wind power ramping events (WPRs) are incorporated into a new reliability evaluation approach. Cyber–physical failures like the instantaneous failure and longtime fatigue of wind turbines are considered in the reliability evaluation. The tripping attack is modeled in a bilevel optimal power flow model which aims to maximize the load shedding on the system’s vulnerable moment. The time-varying failure rate of wind turbine is approximated by Weibull distribution which incorporates the service time and remaining life of wind turbine. Various system defense capacities and penetration rates of wind power are simulated on the typical reliability test system. The comparative and sensitive analyses show that power system reliability is challenged by the cybersecurity of wind farms, especially when the installed capacity of wind power continues to rise. The timely patching of network vulnerabilities and the life management of wind turbines are important measures to ensure the cyber–physical security of wind farms.

Highlights

  • As the predominant source of renewable energy until 2017, global wind power capacity has expanded 11% to 539 GW [1]

  • The main contributions of this paper are as follows: (i) A stochastic attack–defense model is proposed to estimate the frequency of cyber-attacks. (ii) Two typical attack scenarios, including an imperfect attack, are modeled to assess the impact of cybersecurity in the wind farm. (iii) A wind power model that considers the ramping rate is proposed and incorporated into a composite power reliability evaluation

  • Based on the existing a period of time, the attackers are ready for documented vulnerabilities and available codes in the mean time-to-compromise (MTTC), a flexible cumulative distribution function (CDF) of attack time is developed for the reliability standard phase

Read more

Summary

Introduction

As the predominant source of renewable energy until 2017, global wind power capacity has expanded 11% to 539 GW [1]. Most of them have not considered the impact of cyber-attacks on power grid reliability. The modeling of WPRs, especially the feature of ramping rate [19], should be fully considered to evaluate the operational adequacy of power systems. To address those problems, the main contributions of this paper are as follows: (i) A stochastic attack–defense model is proposed to estimate the frequency of cyber-attacks. (ii) Two typical attack scenarios, including an imperfect attack, are modeled to assess the impact of cybersecurity in the wind farm. (iii) A wind power model that considers the ramping rate is proposed and incorporated into a composite power reliability evaluation.

Wind Farm Cyber Architecture and Security Risks
Stochastic Model Based on MTTC
Typical
System Defense Model
Attack Scenarios
Worst-Case Attack of Wind Turbines
Long-Term Imperfect Attack of Wind Turbine
Power System Reliability Assessment
Modeling of Wind Power and WPRs
Bi-Level Modeling of the Worst-Case Attack
The Procedures of Reliability Assessment
Case Studies and Results
Reliability Assessment Considering Worst-Case Attack
Impact of Worst-Case
During
The system evaluated by Monte
The Composite Reliability Assessment
Reliability
SNthat
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call