Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Allocating PMUs to Facilitate Processing of Bad Data in SCADA-based State Estimation
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1Electrical Engineering Department, Fluminense Federal University, Rio de Janeiro, Brazil;2Institute of Computing, Fluminense Federal University, Rio de Janeiro, Brazil

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This work was supported by Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), National Council for Scientific and Technological Development (CNPq), State of Rio de Janeiro Research Support Foundation (FAPERJ), and National Institute of Science and Technology in Electric Energy (INERGE).

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    Abstract:

    Advanced network analysis and control tools in energy management systems depend on a reliable real-time database provided by power system state estimation (SE). The processing of gross errors— bad data (BD)is considered an essential SE step in such a context. It is widely recognized that the adverse conditions with weak network observability hinder the identification and correction of multiple BD, a process notorious for its time-consuming nature. This paper proposes a method for facilitating the processing of BD in supervisory control and data acquisition (SCADA) measurements using phasor measurement units (PMUs). The main objective is to strategically allocate a limited number of PMUs to allow the phasor-aided state estimation (PHASE), which offers the advantage of effectively handling single and multiple BD. Tests with the IEEE 14-, 30-, and 118-bus systems are conducted to demonstrate the practical application of handling BD, including adverse conditions such as network spots with low redundant measurements. Index Terms—Bad data, gross error, state estimation, energy management system (SCADA), phasor measurement unit , supervisory control and data acquisition (PMU).

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History
  • Received:April 02,2025
  • Revised:June 16,2025
  • Adopted:
  • Online: May 27,2026
  • Published:
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