Title :
Power system adequacy assessment with load redistribution attacks
Author :
Yingmeng Xiang ; Zhilu Ding ; Lingfeng Wang
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA
Abstract :
The wider deployment of advanced information and control technologies in the smart grid makes the power grid more vulnerable to cyber attacks such as false data injection attacks. However, the work on the long-term statistical impact of these attacks on the power grid adequacy is rather limited. In this study a novel adequacy evaluation procedure incorporating the load redistribution (LR) attack is proposed. The procedure takes into consideration the physical failures and the bilevel model representing the LR attack. The simulation is conducted based on Monte Carlo simulation (MCS) using Matlab and CPLEX. The influences of the time of attacks, the attack level, the defense level and the line transmission capacity are investigated. It is concluded that the cyber defense level is critical to the power system adequacy, and cyber issues need to be considered in the planning of the power grid.
Keywords :
Monte Carlo methods; failure analysis; load distribution; power engineering computing; power system planning; power system reliability; security of data; smart power grids; LR attack; MCS; Monte Carlo simulation; bilevel model; cyber attacks; cyber defense level; cyber issues; load redistribution attack; long-term statistical impact; physical failures; power grid planning; power system adequacy assessment; smart power grid adequacy evaluation; Load modeling; Power system reliability; Reliability; Smart grids; Transmission line measurements; Cybersecurity; adequacy assessment; bilevel optimization; cyber-physical systems; false data injection attack; smart grid;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2015.7131808