TY - GEN
T1 - Performance Evaluation of Coherency Identification Methods in Frequency Stability Analysis Based on A Novel Assessment Index
AU - Wen, Jiaxin
AU - Bus, Siqi
PY - 2018/11
Y1 - 2018/11
N2 - The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.
AB - The injection of renewable energy brings a big uncertainty to the modern power system, which would have a detrimental influence on the frequency stability. The fluctuating frequency from a specific wind farm is difficult to be represented by system average frequency due to uneven inertia distribution in the system. In order to deal with this issue, the coherency identification is applied to separate the system into a few areas and then further research is conducted. In terms of frequency stability analysis, two factors are often concerned: the rate of change of frequency (RoCoF) and frequency nadir/vertex (FN/FV). Therefore, this paper proposes a novel assessment index, i.e. Max Spatial Distribution Ratio of System Frequency Response (MaDSR), suitable for these two factors to evaluate the effects of the coherent results based on a new concept, Area Frequency Response Center (AFRC). To test the effectiveness of the index, slow coherency identification method is selected to divide a modified IEEE 16machine 68 bus with additional installation of wind farms.
KW - Area Frequency Response Center (AFRC)
KW - frequency nadir/vertex (FN/FV)
KW - Max System Frequency Deviation Rate (MSFDR)
KW - rate of change of frequency (RoCoF)
UR - http://www.scopus.com/inward/record.url?scp=85070286286&partnerID=8YFLogxK
U2 - 10.1109/CIEEC.2018.8745778
DO - 10.1109/CIEEC.2018.8745778
M3 - Conference article published in proceeding or book
AN - SCOPUS:85070286286
T3 - Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018
SP - 132
EP - 137
BT - Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Electrical and Energy Conference, CIEEC 2018
Y2 - 4 November 2018 through 6 November 2018
ER -
