Cyber-Resilience Enhancement and Protection for Uneconomic Power Dispatch under Cyber-Attacks

Pengfei Zhao, Yucheng Ding, Chenghong Gu, Hong Liu, Yuankai Bian, Shuanggi Li

Research output: Contribution to journalArticlepeer-review

11 Citations (SciVal)
97 Downloads (Pure)


False data injection (FDI), could cause severe uneconomic system operation and even large blackout, which is further compounded by the increasingly integrated fluctuating renewable generation. As a commonly conducted type of FDI, load redistribution (LR) attack is judiciously manipulated by attackers to alter the load measurement on power buses and affect the normal operation of power systems. In particular, LR attacks have been proved to easily bypass the detection of state estimation. This paper presents a novel distributionally robust optimization (DRO) for operating transmission systems against cyber-attacks while considering the uncertainty of renewable generation. The FDI imposed by an adversary aims to maximally alter system parameters and mislead system operations while the proposed optimization method is used to reduce the risks caused by FDI. Unlike the worst-case-oriented robust optimization, DRO neglects the extremely low-probability case and thus weakens the conservatism, resulting in more economical operation schemes. To obtain computational tractability, a semidefinite programming problem is reformulated and a constraint generation algorithm is utilized to efficiently solve the original problem in a hierarchical master and sub-problem framework. The proposed method can produce more secure and economic operation for the system of rich renewable under LR attacks, reducing load shedding and operation cost to benefit end customers, network operators, and renewable generation.
Original languageEnglish
Article number9259203
Pages (from-to)2253 - 2263
Number of pages11
JournalIEEE Transactions on Power Delivery
Issue number4
Early online date16 Nov 2020
Publication statusPublished - 31 Aug 2021


  • Cyber-attacks
  • distributionally robust optimization
  • false data injections
  • load redistribution attacks
  • real-time economic dispatch
  • transmission network

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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