Genetic algorithms to determine the critical values of a power energy system for different operating conditions
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sila Science
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Critical values of a power system are the values of load bus active power, load bus voltage amplitude, and load bus angle when the load bus has the highest active power value. These values depend on various factors such as the length, voltage, the number, and the serial and shunt compensation rates of the line. In this study, we take the IEEE's 6-bus power system as our base system. We first used the Newton Raphson (NR) method to determine the critical values under various operating conditions. Then, we used genetic algorithms, which is an artificial intelligence method commonly used in optimization, to determine the critical values under the same operating conditions. At the end, we compared the results. The results show that overall the critical values determined using GA is as good as with or better than those obtained using the traditional NR method.
Açıklama
WOS: 000297087600047
Anahtar Kelimeler
Genetic algorithms, Power system stability, Power Distribution, Newton Raphson, Artificial Intelligence
Kaynak
Energy Education Science And Technology Part A-Energy Science And Research
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
28
Sayı
2
