TY - JOUR
T1 - An optimal strategy to maximise voltage stability using memetic algorithms based on swarm trajectory movements
AU - Goh, S. H.
AU - Dong, Z. Y.
AU - Saha, T. K.
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2009
Y1 - 2009
N2 - Many power systems in the world today are operating closer to their stability boundaries, and thus it is critical for independent system operators (ISOs) to ensure that systems have adequate stability margins during operation in case of unexpected losses of system components. Failure to do so may result in a catastrophic widespread blackout, ie. system voltage collapses. This paper presents a novel memetic algorithm (MA)-based strategy to effectively maximise system voltage stability margins, through the optimum control of automatic voltage regulator (AVR) of generators, on-load tap changer (OLTC) of transformers and the sizes of shunt capacitors (SCs) etc, given any system operating conditions. The proposed strategy can assist ISOs to perform corrective actions to increase stability margins when the system operates too close to the stability boundaries. A mix-integer non-linear programming (M1NLP) problem is formulated here using a MA based on the trajectory movement rule of particle swarm optimisation (PSO). By using the MA-based approach, system voltage collapse margins can be improved and these enhancements can then be verified using a continuation power flow (CPF) technique. The feasibility and practicality of this approach has been tested on a 3-machine 9-bus and the IEEE 118-bus power systems. © Institution of Engineers Australia, 2009.
AB - Many power systems in the world today are operating closer to their stability boundaries, and thus it is critical for independent system operators (ISOs) to ensure that systems have adequate stability margins during operation in case of unexpected losses of system components. Failure to do so may result in a catastrophic widespread blackout, ie. system voltage collapses. This paper presents a novel memetic algorithm (MA)-based strategy to effectively maximise system voltage stability margins, through the optimum control of automatic voltage regulator (AVR) of generators, on-load tap changer (OLTC) of transformers and the sizes of shunt capacitors (SCs) etc, given any system operating conditions. The proposed strategy can assist ISOs to perform corrective actions to increase stability margins when the system operates too close to the stability boundaries. A mix-integer non-linear programming (M1NLP) problem is formulated here using a MA based on the trajectory movement rule of particle swarm optimisation (PSO). By using the MA-based approach, system voltage collapse margins can be improved and these enhancements can then be verified using a continuation power flow (CPF) technique. The feasibility and practicality of this approach has been tested on a 3-machine 9-bus and the IEEE 118-bus power systems. © Institution of Engineers Australia, 2009.
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U2 - 10.1080/1448837X.2009.11464223
DO - 10.1080/1448837X.2009.11464223
M3 - RGC 21 - Publication in refereed journal
SN - 1448-837X
VL - 6
SP - 21
EP - 32
JO - Australian Journal of Electrical and Electronics Engineering
JF - Australian Journal of Electrical and Electronics Engineering
IS - 1
ER -