TY - JOUR
T1 - A three-level distributed architecture for the real-time monitoring of modern power systems
AU - Papadopoulos, Theofilos A.
AU - Kontis, Eleftherios O.
AU - Barzegkar-Ntovom, Georgios A.
AU - Papadopoulos, Panagiotis N.
PY - 2022/3/14
Y1 - 2022/3/14
N2 - To monitor network operation in real-time, power system operators have developed wide-area monitoring systems (WAMS). However, the centralized communication and information processing architecture of WAMS cannot be extended easily to distribution networks. In this aspect, a three-level distributed network monitoring architecture is proposed in this paper, concerning the dynamic analysis of transmission, primary and secondary distribution networks by exploiting measurements of ambient data and transient responses. In the proposed architecture, operators are responsible for the operation and analysis of their own grid but also can share an overview of the system performance to facilitate their operational coordination. Different online and offline applications are supported within the architecture, including small-signal, transient and frequency stability analysis as well as dynamic equivalencing and real-time inertia estimation. Measurement-based algorithms and models are proposed for each case. Finally, the performance of the developed algorithms has been tested by using a combined transmission and distribution power system model.
AB - To monitor network operation in real-time, power system operators have developed wide-area monitoring systems (WAMS). However, the centralized communication and information processing architecture of WAMS cannot be extended easily to distribution networks. In this aspect, a three-level distributed network monitoring architecture is proposed in this paper, concerning the dynamic analysis of transmission, primary and secondary distribution networks by exploiting measurements of ambient data and transient responses. In the proposed architecture, operators are responsible for the operation and analysis of their own grid but also can share an overview of the system performance to facilitate their operational coordination. Different online and offline applications are supported within the architecture, including small-signal, transient and frequency stability analysis as well as dynamic equivalencing and real-time inertia estimation. Measurement-based algorithms and models are proposed for each case. Finally, the performance of the developed algorithms has been tested by using a combined transmission and distribution power system model.
KW - ambient data
KW - ARMAX modeling
KW - frequency stability
KW - inertia estimation
KW - measurement-based models
KW - power system dynamics
KW - small-signal analysis
KW - transient responses
KW - transient stability
KW - wide area monitoring
UR - http://www.scopus.com/inward/record.url?scp=85126537161&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3159340
DO - 10.1109/ACCESS.2022.3159340
M3 - Article
AN - SCOPUS:85126537161
VL - 10
SP - 29287
EP - 29306
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -