TY - GEN
T1 - Optimal Placement and Sizing of STATCOM(s) for Power System Security Improvement using MOPSO
AU - Ismail, Bazilah
AU - Wahab, Noor Izzri Abdul
AU - Othman, Mohammad Lutfi
AU - Radzi, Mohd Amran Mohd
AU - Kahar, Nor Hidayah Abdul
AU - Awalin, Lilik Jamilatul
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The massive increase in both electrical power demand and the penetration level of renewable-based distributed generation at the distribution system has contributed to large amount of power flow in the grid's utility. As a consequence, part of the transmission networks is congested that led to unexpected outage and the entire grid is operated at the vulnerable condition. Static Synchronous Compensator (STATCOM) is one of the most effective ways to alleviate this problem. The benefits of introducing the STATCOM into the system can be further maximized with an appropriate location and size of the devices. In this work, the optimal number, location and sizing of STATCOM(s) are determined to reduce the real power loss and voltage deviation under several most severe N-1 and N-2 events. The most severe line outage events are determined using the proposed combine severity index (CI). The optimal location and sizing of STATCOM(s) in IEEE 30 bus test system are identified using multi-objective Particle Swarm Optimization algorithm (MOPSO).
AB - The massive increase in both electrical power demand and the penetration level of renewable-based distributed generation at the distribution system has contributed to large amount of power flow in the grid's utility. As a consequence, part of the transmission networks is congested that led to unexpected outage and the entire grid is operated at the vulnerable condition. Static Synchronous Compensator (STATCOM) is one of the most effective ways to alleviate this problem. The benefits of introducing the STATCOM into the system can be further maximized with an appropriate location and size of the devices. In this work, the optimal number, location and sizing of STATCOM(s) are determined to reduce the real power loss and voltage deviation under several most severe N-1 and N-2 events. The most severe line outage events are determined using the proposed combine severity index (CI). The optimal location and sizing of STATCOM(s) in IEEE 30 bus test system are identified using multi-objective Particle Swarm Optimization algorithm (MOPSO).
KW - contingencies analysis
KW - power system security improvement
KW - real power performance index
KW - voltage deviation index
KW - voltage stability index
UR - http://www.scopus.com/inward/record.url?scp=85146416447&partnerID=8YFLogxK
U2 - 10.1109/PECon54459.2022.9988946
DO - 10.1109/PECon54459.2022.9988946
M3 - Conference contribution
AN - SCOPUS:85146416447
T3 - 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022
SP - 304
EP - 309
BT - 2022 IEEE International Conference on Power and Energy
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Power and Energy, PECon 2022
Y2 - 5 December 2022 through 6 December 2022
ER -