
Multi‐contingency TSCOPF based on full‐system simulation
Author(s) -
Ledesma Pablo,
Calle Ignacio Antonio,
Castronuovo Edgardo Daniel,
Arredondo Francisco
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0355
Subject(s) - electric power system , transient (computer programming) , heuristic , fault (geology) , computer science , rotor (electric) , generator (circuit theory) , transmission system , economic dispatch , mathematical optimization , contingency , stability (learning theory) , point (geometry) , control theory (sociology) , transmission (telecommunications) , power (physics) , engineering , mathematics , philosophy , artificial intelligence , linguistics , operating system , telecommunications , geometry , control (management) , quantum mechanics , machine learning , mechanical engineering , physics , seismology , geology
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.