An Extension of Common Information Model for Power System Multiarea State Estimation

An Extension of Common Information Model for Power System Multiarea State Estimation

Abstract:

This paper proposes an extension of International Electrotechnical Commission (IEC) Common Information Model (CIM) to accomplish the interoperability requirements for the power system state estimation (SE). The proposed method utilizes a multiarea SE (MASE) approach, suitable for the power system networks, which can be divided into several independently controlled subareas. The standard IEC CIM model is extended for exchanging the SE results of the MASE from subareas to a central coordinator (CC) in the standard format, which might individually use diverse proprietary software applications and databases. The suggested schema defines the data exchange format among the subareas and the CC without modifying proprietary databases and software applications. The new MASE approach, used to demonstrate the proposed CIM extension process, requires lesser data exchange as there is no topology information exchange among the subareas and the CC, thus resulting in reduced communication bandwidth requirement. The effectiveness of the proposed approach has been demonstrated on IEEE 30 bus system and 246-bus reduced Northern Regional Power Grid Indian system.
An Extension of Common Information Model for Power System Multiarea State Estimation
Published in: IEEE Systems Journal Volume: 11Issue: 3, Sept. 2017 )
Page(s): 1692 – 1701
Date of Publication: 22 December 2014
 ISSN Information:

DOI: 10.1109/JSYST.2014.2372813

Publisher: IEEE
Sponsored by: IEEE Systems Council

What we provide:

  • Complete Research Assistance

Technology Involved:-

  • MATLAB, Simulink, MATPOWER, GRIDLAB-D,OpenDSS, ETAP, GAMS

Deliverables:-  

  • Complete Code of this paper
  • Complete Code of the approach to be propose
  • A document containing complete explanation of code and research approach
  • All materials used for this research
  • Solution to all your queries related to your work