Multi-contingency TSCOPF based on full-system simulation Articles uri icon

publication date

  • January 2017

start page

  • 64

end page

  • 72

issue

  • 1

volume

  • 11

International Standard Serial Number (ISSN)

  • 1751-8687

Electronic International Standard Serial Number (EISSN)

  • 1751-8695

abstract

  • Transient stability constrained optimal power flow (TSCOPF) is a non-linear optimisation problem used to perform economic dispatches while ensuring TS. This study proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator fourth-order dq-axis model. A program is developed that automatically reads the system data from standard files, builds the multiple-contingency TSCOPF model on a high-level modelling system and solves it using a non-heuristic interior point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. A TSC based on the speed deviation instead of the rotor angle is proposed. Results obtained on several standard systems are shown. The proposed method is applied to the northwest Spanish transmission system to obtain an optimised dispatch that ensures TS after any of a number of faults, and to assess the economic impact of fault-clearing times at different substations.

subjects

  • Mechanical Engineering

keywords

  • load flow; power system transient stability; nonlinear programming; substations; power transmission economics; synchronous generators; full-system simulation; transient stability constrained optimal power flow; nonlinear optimisation problem; economic dispatches; multicontingency tscopf model; generator dynamics; transient synchronous generator fourth-order dq-axis model; standard files; high-level modelling system; nonheuristic interior point algorithm; rotor angle; northwest spanish transmission system; optimised dispatch; fault number; economic impact; fault-clearing times; substations; optimal power-flow; transient stability constraints; optimization