Critical model parameters: A security vulnerability in electricity market operation

Yuzhang Lin, Ali Abur, Hanchen Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In power grids, a critical parameter is a type of network model parameter whose error is not detectable due to the existing measurement configuration. In this paper, the effect of incorrect critical parameters on the calculation of locational marginal prices (LMP) will be investigated. Such errors will present a security vulnerability in the operation of electricity markets. It will be shown that model parameter errors can severely bias LMPs by affecting the injection shift factors (ISFs) and congestion patterns. If the error is undetectable, as is the case for a critical parameter, economic interests of the market participants will be compromised. This implies that it may be possible for potential adversaries to manipulate electricity market operations if they have access the network data base and can manipulate critical model parameters. Simulations on an IEEE test system will be used to illustrate the identified security vulnerabilities related to critical network parameters.

Original languageEnglish (US)
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
StatePublished - Jun 2019
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: Jun 23 2019Jun 27 2019

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019


Conference2019 IEEE Milan PowerTech, PowerTech 2019


  • Anomaly detection
  • Cyber security
  • Electricity market
  • Parameter estimation
  • Power system modeling
  • State estimation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality


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