Title :
Approach to trace and locate long-term voltage instability risk in power system planning
Author :
Juan Yu ; Wenyuan Li ; Ajjarapu, Venkataramana ; Wei Yan ; Xia Zhao
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Abstract :
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.
Keywords :
Monte Carlo methods; optimisation; power system planning; IEEE 14-bus system; load levels; load uncertainty; local risk index functions; local voltage stability risk; long-term voltage instability risk; planning timeframe; power system planning; pre-contingency states; quadratic optimisation; single Monte Carlo simulation; system-wide voltage instability risk;
Journal_Title :
Generation, Transmission & Distribution, IET
DOI :
10.1049/iet-gtd.2012.0335