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Impact Assessment of False Data Injection Attack on Lmps in Real-time Power Market

Ganjkhani, Mehdi | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47781 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Abbaspour Tehrani Fard, Ali; Fotuhi Firouzabad, Mahmoud
  7. Abstract:
  8. The restructured power system and smart grid requires an advanced communication infrastructure. Application of such communication infrastructure brings numerous privileges to power generation industry, on the other hand introduces challenges to this industry, namely cyber attacks. Recently, cyber attack in electric markets aiming economic interests have been attractive to many electric industry researchers and planners. In electric market cyber attack, by means of influence in data transmission equipment like SCADA, the attacker manipulates the transferring data. This manipulation is conducted in a targeted behavior so as to make the network operator get wrong estimation of actual LMPs in real-time market. The most significant issue of such cyber attack is the attack staying unrecognized for false data detection processer. Therefore in this thesis, first a cyber-attack is modeled mathematically through an optimization problem aiming not to identify the manner of the attackers on false data injection attack in SCADA. This model is able to identify the least alteration required for specific attacks, this brings possibility of discussion on the power system robustness again the likelihood of occurrence of such attacks. Output of the problem determines the level of success of the attack in the value of LMP getting changed with respect to the actual value and interests made by the attackers. Proposed model is applied to IEEE 14-bus standard network using MATLAB and GAMS softwares. Then it is concluded that in a test system, a marketer in an electric market as an attacker can increase his profits four times greater by optimal planning on the day-ahead market with respect to ability of false data injection attack and considering the power system conditions. One other objective of the simulations is identifying the proper hours for false data injection attack in aforementioned network. Furthermore by analysis of the results, likelihood of occurrence of such attacks on studied power system is assessed. In addition this thesis studies leading causes of cyberattacks including possibility of attack getting recognized and successful on amount of profits obtained by false data injection attack. Outcome of this thesis can be guidance to electric industry operators and planners in implementing power system cyber security
  9. Keywords:
  10. Cyber Attacks ; State Estimation ; Power Market ;

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