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Title: A Sparse Tableau Formulation for Node-Breaker Representations in Security-Constrained Optimal Power Flow

Journal Article · · IEEE Transactions on Power Systems
 [1];  [2];  [1]
  1. Univ. of Wisconsin-Madison, Madison, WI (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Realistic representations of contingencies in AC optimal power flow (OPF) often challenge traditional bus-branch network models. Derived from nodal analysis, such approaches represent network constraints in terms of the familiar bus admittance matrix, Ybus. A fixed Ybus is unable to represent common circuit breaker actions such as bus splitting. Work-arounds for Ybus-based analysis typically rely on topology processing, switching between different Ybus matrices depending on breaker settings. In this work, we propose a very general node-breaker approach, employing multi-port element models and using a Sparse Tableau Formulation (STF) for network constraints. Instead of treating breaker action as altering network topology, and hence changing the structure of KVL and KCL equations, this approach represents a breaker's position as impacting only constraints associated with a single component, thereby maintaining fixed structure in the KVL and KCL constraints. While larger numbers of variables are required, STF proves sparser than Ybus formulations. In conclusion, numerical case studies herein demonstrate that STF provides computational efficiency comparable to a Ybus-based ACOPF at the scale of several hundred buses, and lower computational cost in an example of over one thousand buses.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1471076
Journal Information:
IEEE Transactions on Power Systems, Vol. 34, Issue 1; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 9 works
Citation information provided by
Web of Science