Open AccessOptimal Placement of FACTs Devices in Iraqi National Super Grid System (INSGS) Using HLSI
Author(s) -
Luay G. Ibrahim,
Rashid H. Al-Rubayi
Publication year - 2019
Publication title -
international journal of engineering technology and sciences
Language(s) - English
Resource type - Journals
eISSN - 2462-1269
pISSN - 2289-697X
DOI - 10.15282/ijets.v6i1.2230
Subject(s) - voltage , electric power system , line (geometry) , ac power , grid , stability (learning theory) , control theory (sociology) , index (typography) , power (physics) , slack bus , computer science , engineering , electrical engineering , mathematics , power flow study , control (management) , geometry , physics , quantum mechanics , machine learning , artificial intelligence , world wide web
Many of the power cuts in the electricity system in the last decade indicate that there is much work to be done to address the voltage instability and subsequent collapse. This study presents a method to find and select the optimum location of FACTs device using the hybrid line stability index (HLSI) that is appropriate for the prediction voltage collapse in power system networks. Such the HLSI was obtained by deriving expressions basics equivalent Line Stability Index (Lmn), and Fast Voltage Stability Index (FVSI) and mix theirs through a switch logic based on the voltage angle difference Where indicate the nearness voltage collapse. The HLSI has tested in Iraqi National Super Grid System (INSGS) it gives the same results as the other indicators (Lmn & FVSI). For the base state, INSGS was found to be stable with all the three indicators have approximately equal values least than 1 for all lines. The contingency state detects that ranks of bus 24 the weakest bus in the system with the lower maximum allowable reactive load of (490.371 Mvar) and the line critical concerning bus 24, the line connecting bus 20 to bus 24. The values the three indicators, Lmn, FVSI, and HSLI, approximately equal, increasing the accuracy of HLSI.