Open AccessEvent‐based remedial action scheme against super‐component contingencies to avert frequency and voltage instabilities
Author(s) -
Derafshian Maram Mehdi,
Amjady Nima
Publication year - 2014
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.2013.0780
Subject(s) - blackout , control theory (sociology) , frequency deviation , electric power system , transient (computer programming) , component (thermodynamics) , computer science , stability (learning theory) , voltage , grid , margin (machine learning) , automatic frequency control , mathematical optimization , power (physics) , mathematics , engineering , telecommunications , artificial intelligence , machine learning , geometry , operating system , physics , thermodynamics , control (management) , quantum mechanics , electrical engineering
Frequency instability, voltage instability or a combination of both have been the cause of several power system breakdowns throughout the world in the recent decades. Occurrence of a super‐component contingency (SCC) that refers to multiple and simultaneous outages of grid facilities like a power plant or substation may lead to blackout if no remedial action schemes (RAS) are implemented. This study proposes a new event‐based RAS to overcome the frequency and voltage instabilities caused by SCCs through optimal load shedding. To do this, a new multi‐objective framework is presented simultaneously optimising the competing objective functions of long‐term voltage stability margin, steady‐state frequency deviation, maximum transient frequency deviation and load shed amount. A modified system frequency response model is also proposed for frequency stability assessment. Multi‐objective decision making (MODM) is performed using a combination of analytical hierarchy process, modified augmented ε ‐constraint method and technique for order preference by similarity to ideal solution. The effectiveness of both the proposed model and MODM solution approach is extensively illustrated on a simulated model of Iran's power system in 2012.