Hierarchical Clustering based optimal PMU placement for power system fault observability
(چکیده مقاله) :
Abstract :
Optimal number and location of phasor measurement units (PMUs) in the power
system networks faces challenges for achieving the full network observability during
fault conditions. Achieving fault observability approach requires more constraints
than normal system observability and consequently suffers from complex analysis
and heavy computational burden for the large-scale networks. A new algorithm for
determining the optimal PMU placement considering the network fault observability
is introduced. The proposed algorithm is achieved through four stages. The first
stage is achieved through the network fault simulation to obtain the post fault change
in voltage (DV) at each bus. Then, the post fault change in voltage (DV) is used to
build the network connectivity matrix (CM) and forming a new developed Faulted
Connectivity Matrix (FCM) that describes the power system topology during the
fault conditions. The correlation between the buses is obtained, in the second stage,
by applying Pearson correlation coefficient. Hierarchical Clustering technique is
given, in the third stage, to cluster the network into coherent zones to find the most
correlated buses. Finally, the optimal location of the PMUs is identified within each
zone based on simple proposed placement rules. The proposed algorithm is tested
under a variety of fault events applied on different standard test systems. The results
show the simplicity and the effectiveness of the proposed algorithm.
system networks faces challenges for achieving the full network observability during
fault conditions. Achieving fault observability approach requires more constraints
than normal system observability and consequently suffers from complex analysis
and heavy computational burden for the large-scale networks. A new algorithm for
determining the optimal PMU placement considering the network fault observability
is introduced. The proposed algorithm is achieved through four stages. The first
stage is achieved through the network fault simulation to obtain the post fault change
in voltage (DV) at each bus. Then, the post fault change in voltage (DV) is used to
build the network connectivity matrix (CM) and forming a new developed Faulted
Connectivity Matrix (FCM) that describes the power system topology during the
fault conditions. The correlation between the buses is obtained, in the second stage,
by applying Pearson correlation coefficient. Hierarchical Clustering technique is
given, in the third stage, to cluster the network into coherent zones to find the most
correlated buses. Finally, the optimal location of the PMUs is identified within each
zone based on simple proposed placement rules. The proposed algorithm is tested
under a variety of fault events applied on different standard test systems. The results
show the simplicity and the effectiveness of the proposed algorithm.
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار:2018
این مقاله OPEN ACCESS می باشد و به طور رایگان از سایت ساینس دایرکت قابل دانلود است
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 23 صفحه
سال انتشار:2018
این مقاله OPEN ACCESS می باشد و به طور رایگان از سایت ساینس دایرکت قابل دانلود است
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 23 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2018 \ Moustafa Eissa, Amr Kassem
Sent date(تاریخ ارسال) :
1397/10/28 | 1/18/2019
Number of visits(تعداد بازدید):
1022
Key words (کلمات کلیدی):
Electrical engineering
Number of pages(تعداد صفحات) :
23
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