کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

A Bi-Level Attack-Defense Model for the Forecasting False Data Injection Attacks on the Integrated Energy Systems

نویسندگان :

Maryam Azimi¹ Hamed Delkhosh² Mahdi Ghaedi³

1- دانشگاه تربیت مدرس تهران 2- دانشگاه تربیت مدرس تهران 3- دانشگاه تربیت مدرس تهران

کلمات کلیدی :

Integrated Energy System،Bi-Level Attack-Defense Model،Forecasting Cyber Attack،False Data Injection Attack

چکیده :

Integrated Energy Systems (IESs) are attractive flexible energy infrastructures that improve the reliability and efficiency. Utilizing the information and communication technologies in the IESs brings better observability and controllability while also increasing the risk of malicious cyber-attacks. This paper specifically focuses on the forecasting False Data Injection Attacks (FDIAs) on the electricity, heat, and natural gas IESs. In this study, a bi-level model is developed from the attacker’s point of view in order to determine the optimal attack vector taking the optimal defender response into account. At the upper level, the attacker intends to deceive the IES Energy Management System (EMS) to purchase the energy carriers from the markets in a non-optimal manner. It is assumed that the attacker is capable of manipulating the forecasting data including electricity loads, heating loads, and renewable power generation. At the lower level, the optimal economic operation of the IES is included considering the forecasting FDIA. Finally, the simulation results demonstrate the correctness and effectiveness of the proposed optimization scheme which is solved using the Genetic Algorithm (GA).