TY - GEN
T1 - Dynamic VAR planning for rotor-angle and short-term voltage stability enhancement
AU - Tahboub, Ahmad M.
AU - Alaraifi, Surour
AU - Elmoursi, Mohamed Shawky
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/4/26
Y1 - 2017/4/26
N2 - In the short-term timescale, separation between load-driven and generator-driven stability problems is rarely well-defined. Allocation of VSC-based VAR compensation, such as STATCOM, has the ability to boost system voltages in the fault-on condition, thus reducing generator power swing, in addition to circumventing delayed voltage recovery upon fault clearing, thereby reducing the risk of induction motor stalling. This paper proposes a multi-objective, hybrid static/dynamic VAR planning strategy incorporating distinct rotor angle and voltage stability indices found through time-domain simulations of full-order system models. The proposed method utilizes parallel high performance computing (HPC) capabilities combined with a genetic algorithm (GA) and is applied on the New England 39-bus system with assumed high penetration of induction machines. The study demonstrates that compared to voltage stability enhancement, improvement of rotor-angle stability through shunt dynamic VAR requires substantial additional capacity, the cost of which can be reduced using hybrid static/dynamic installations.
AB - In the short-term timescale, separation between load-driven and generator-driven stability problems is rarely well-defined. Allocation of VSC-based VAR compensation, such as STATCOM, has the ability to boost system voltages in the fault-on condition, thus reducing generator power swing, in addition to circumventing delayed voltage recovery upon fault clearing, thereby reducing the risk of induction motor stalling. This paper proposes a multi-objective, hybrid static/dynamic VAR planning strategy incorporating distinct rotor angle and voltage stability indices found through time-domain simulations of full-order system models. The proposed method utilizes parallel high performance computing (HPC) capabilities combined with a genetic algorithm (GA) and is applied on the New England 39-bus system with assumed high penetration of induction machines. The study demonstrates that compared to voltage stability enhancement, improvement of rotor-angle stability through shunt dynamic VAR requires substantial additional capacity, the cost of which can be reduced using hybrid static/dynamic installations.
KW - Dynamic VAR planning
KW - Genetic algorithm
KW - High performance computing
KW - Multi-objective optimization
KW - Rotor angle stability
KW - Voltage stability
UR - https://www.scopus.com/pages/publications/85019583989
U2 - 10.1109/ICIT.2017.7915425
DO - 10.1109/ICIT.2017.7915425
M3 - Conference contribution
AN - SCOPUS:85019583989
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 592
EP - 596
BT - 2017 IEEE International Conference on Industrial Technology, ICIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Industrial Technology, ICIT 2017
Y2 - 23 March 2017 through 25 March 2017
ER -