Open AccessApproach to trace and locate long‐term voltage instability risk in power system planning
Author(s) -
Yu Juan,
Li Wenyuan,
Ajjarapu Venkataramana,
Yan Wei,
Zhao Xia
Publication year - 2013
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.2012.0335
Subject(s) - electric power system , contingency , tracing , term (time) , control theory (sociology) , computer science , instability , reliability engineering , quadratic equation , index (typography) , function (biology) , voltage , mathematical optimization , trace (psycholinguistics) , power (physics) , engineering , mathematics , electrical engineering , control (management) , linguistics , philosophy , physics , geometry , quantum mechanics , artificial intelligence , evolutionary biology , world wide web , mechanics , biology , operating system
With the integration of a quadratic optimisation method into one single Monte Carlo simulation, the system‐wide and local risk index functions are developed to quantify the relations between the system‐wide and local voltage stability risk and load levels. Each defined risk index function is a function of load level under various possible pre‐contingency and contingency states and load uncertainty. Based on the proposed risk index functions, a method of tracing and locating long‐term voltage instability risk in power system planning is presented. The methodology can trace the overall system‐wide voltage instability risk in a planning timeframe and locate weak branches and buses. The effectiveness of the proposed method is demonstrated using the IEEE 14‐bus system and an actual utility system with 171 buses.