TY - GEN
T1 - Contingency Ranking Selection using Static Security Performance Indices in Future Grids
AU - Liyanarachchi, Lakna
AU - Hosseinzadeh, Nasser
AU - Mahmud, Apel
AU - Gargoom, Ameen
AU - Farahani, Ehsan M.
PY - 2020/11
Y1 - 2020/11
N2 - Power system security assessment and enhancement in grids with high penetration of renewables is critical for pragmatic power system planning. Static Security Assessment (SSA) is a fast response tool to assess system stability margins following considerable contingencies assuming post fault system reaches a steady state. This paper presents a contingency ranking methodology using static security indices to rank credible contingencies considering severity. A Modified IEEE 9 bus system integrating renewables was used to test the approach. The static security indices used independently provides accurate results in identifying severe contingencies but further assessment is needed to provide an accurate picture of static security assessment in an increased time frame of the steady state. The indices driven for static security assessment could accurately capture and rank contingencies with renewable sources but due to intermittency of the renewable source various contingency ranking lists are generated. This implies that using indices in future grids without consideration on intermittent nature of renewables will make it difficult for the grid operator to identify severe contingencies and assist the power system operator to make operational decisions. This makes it necessary to integrate the behaviour of renewables in security indices for practical application in real time security assessment.
AB - Power system security assessment and enhancement in grids with high penetration of renewables is critical for pragmatic power system planning. Static Security Assessment (SSA) is a fast response tool to assess system stability margins following considerable contingencies assuming post fault system reaches a steady state. This paper presents a contingency ranking methodology using static security indices to rank credible contingencies considering severity. A Modified IEEE 9 bus system integrating renewables was used to test the approach. The static security indices used independently provides accurate results in identifying severe contingencies but further assessment is needed to provide an accurate picture of static security assessment in an increased time frame of the steady state. The indices driven for static security assessment could accurately capture and rank contingencies with renewable sources but due to intermittency of the renewable source various contingency ranking lists are generated. This implies that using indices in future grids without consideration on intermittent nature of renewables will make it difficult for the grid operator to identify severe contingencies and assist the power system operator to make operational decisions. This makes it necessary to integrate the behaviour of renewables in security indices for practical application in real time security assessment.
KW - Power system security
KW - Contingency ranking
KW - Static Security Assessment
KW - Contingency selection
KW - Real power performance index
KW - Voltage performance index
KW - Renewable technologies
KW - Power System Security
KW - Contingency Ranking
KW - Real Power Performance Index
KW - Contingency Selection
KW - Voltage Performance Index
UR - http://www.scopus.com/inward/record.url?scp=85101697660&partnerID=8YFLogxK
M3 - Conference contribution
SN - 978-1-6654-2540-7
T3 - 2020 Australasian Universities Power Engineering Conference, AUPEC 2020 - Proceedings
SP - 1
EP - 6
BT - 2020 Australasian Universities Power Engineering Conference, AUPEC 2020 - Proceedings
A2 - Negnevitsky, Michael
PB - University of Tasmania
CY - Tasmania
T2 - Australasian Universities Power Engineering Conference, 2020
Y2 - 29 November 2020 through 2 December 2020
ER -