TY - GEN
T1 - An Intelligent Approach to Observability of Distribution Networks
AU - Pokhrel, Basanta Raj
AU - Nainar, Karthikeyan
AU - Bak-Jensen, Birgitte
AU - Pillai, Jayakrishnan Radhakrishna
AU - Mazhari, Seyed Mahdi
AU - Chung, C.Y.
PY - 2018/8
Y1 - 2018/8
N2 - This paper presents a novel intelligent observability approach for active distribution systems. Observability assessment of the measured power system network, which is a preliminary task in state estimation, is handled via an algebraic method that uses the triangular factors of singular, symmetric gain matrix accompanied by a minimum meter placement technique. In available literature, large numbers of pseudo measurements are used to cover the scarcity of sufficient real measurements in distribution systems; the values of these virtual meters are calculated value based on the available real measurements, network topology, and network parameters. However, since there are large margin of errors exist in the calculation phase, estimated states may be significantly differed from the actual values though network is classified as observable. Hence, an approach based on numerical observability analysis is introduced in this work to overcome such a critical issue. The proposed method takes the number of meters, location and choice of pseudo measurements into account and assesses the network observability. The developed method is successfully applied to a real-life Danish network, followed by discussion on results.
AB - This paper presents a novel intelligent observability approach for active distribution systems. Observability assessment of the measured power system network, which is a preliminary task in state estimation, is handled via an algebraic method that uses the triangular factors of singular, symmetric gain matrix accompanied by a minimum meter placement technique. In available literature, large numbers of pseudo measurements are used to cover the scarcity of sufficient real measurements in distribution systems; the values of these virtual meters are calculated value based on the available real measurements, network topology, and network parameters. However, since there are large margin of errors exist in the calculation phase, estimated states may be significantly differed from the actual values though network is classified as observable. Hence, an approach based on numerical observability analysis is introduced in this work to overcome such a critical issue. The proposed method takes the number of meters, location and choice of pseudo measurements into account and assesses the network observability. The developed method is successfully applied to a real-life Danish network, followed by discussion on results.
KW - Active distribution grid
KW - meter placement
KW - observability
KW - state estimation
U2 - 10.1109/PESGM.2018.8585752
DO - 10.1109/PESGM.2018.8585752
M3 - Article in proceeding
SN - 978-1-5386-7704-9
T3 - IEEE Power and Energy Society General Meeting
SP - 1
EP - 5
BT - Proceedings of the 2018 IEEE Power & Energy Society General Meeting (PESGM)
PB - IEEE
CY - USA
T2 - IEEE Power and Energy Society General Meeting, PESGM 2018
Y2 - 5 August 2018 through 9 August 2018
ER -