برنامه ريزی مقاوم حمله تزريق داده غلط روی بازارهای انرژی الکتريکی در شبکه های هوشمند
محورهای موضوعی : مهندسی برق و کامپیوترحامد بدرسیمایی 1 , رحمت‌الله هوشمند 2 * , صغري نوبختيان 3
1 - دانشكده فنی مهندسی،دانشگاه اصفهان
2 - دانشگاه اصفهان،دانشگاه اصفهان
3 - دانشکده علوم ریاضی،دانشگاه اصفهان
کلید واژه: بازار انرژی الکتریکی, حمله سایبری, حمله تزریق داده غلط, شبکه هوشمند, عدم قطعیت,
چکیده مقاله :
حمله تزریق داده غلط (FDIA) یک تهدید سایبری مخرب برای عملکرد اقتصادی بازارهای انرژی الکتریکی در شبکه‌های هوشمند است. یک مهاجم سایبری می‌تواند با پیاده‌سازی یک FDIA و با نفوذ در معاملات مجازیبازارهای انرژی الکتریکی، از طریق دستکاری قیمت برق به سود مالی گزافی دست پیدا کند. در این مقاله، روش جدیدی در مسأله برنامه‌ریزی یک FDIA به صورت کاملاً مخفی و با هدف دستیابی به بیشترین سود مالی از دیدگاه یک مهاجم سایبری مشارکت‌کننده در معاملات مجازی در دو بازار روز پیش (DA) و زمان حقیقی (RT) ارائه شده است. یک فرضیه رایج که در مطالعات موجود روی FDIAs در مقابل بازارهای برق صورت گرفته، این است که مهاجم، اطلاعات کاملی از شبکه هوشمند در اختیار دارد. اما واقعیت این است که مهاجم، منابع محدودی دارد و به سختی می‌تواند به همه اطلاعات شبکه دسترسی پیدا کند. این مقاله روش مقاومی را در طراحی استراتژی حمله با شرایط اطلاعات شبکه ناقص پیشنهاد می‌کند. به طور خاص فرض گردیده که مهاجم نسبت به ماتریس‌های مدل‌کننده شبکه دارای عدم قطعیت است. اعتبار روش پیشنهادی بر اساس سیستم معیار 14- باس IEEE و با استفاده از ابزار Matpower سنجیده شده است. نتایج عددی، موفقیت نسبی حمله پیشنهادی را در حالت‌های از درجه مختلف اطلاعات ناقص تأیید می‌کنند.
False data injection attack (FDIA) is a destructive cyber threat to the economic performance of electricity markets in smart grids. A cyber attacker can make a huge financial profit by implementing an FDIA through penetrating the virtual transactions of the electricity markets and manipulating electricity prices. In this paper, a new approach to planning an absolutely stealthily FDIA is presented with the aim of achieving maximum financial profit from the perspective of a cyber attacker participating in virtual transactions from two markets of day-ahead (DA) and real-time (RT). A common hypothesis in studies of FDIAs against electricity markets is that the attacker has complete information about the smart grid. But the fact is that the attacker has limited resources and can hardly access all the network information. This paper proposes a robust approach in designing an attack strategy under incomplete network information conditions. In particular, it is assumed that the attacker has uncertainties about the network modeling matrices. The validity of the proposed method is evaluated based on the IEEE 14-bus standard system using the Matpower tool. Numerical results confirm the relative success of the proposed attack in cases of varying degrees of incomplete information.
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