TY - JOUR
T1 - Multiobjective optimal TCSC placement using multiobjective grey wolf optimizer for power losses reduction
AU - Rao, Nartu Tejeswara
AU - Kumar, Kalyana Kiran
AU - Kumar, Polamarasetty P.
AU - Nuvvula, Ramakrishna S.S.
AU - Mutharasan, A.
AU - Dhanamjayulu, C.
AU - Shaik, Mohammed Rafi
AU - Khan, Baseem
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - This study investigates the application of the multiobjective grey wolf optimizer (MOGWO) for optimal placement of thyristor-controlled series compensator (TCSC) to minimize power loss in power systems. Two conflicting objectives are considered: (1) minimizing real and reactive power loss, and (2) minimizing real power loss and TCSC capital cost. The Pareto-optimal method is employed to generate the Pareto front for these objectives. The fuzzy set technique is used to identify the optimal trade-off solution, while the technique for order preference by similarity to the ideal solution suggests multiple optimal solutions catering to diverse utility preferences. Simulations on an IEEE 30 bus test system demonstrate the effectiveness of TCSC placement for power loss minimization using MOGWO. The superiority of MOGWO is confirmed by comparing its results with those obtained from a multiobjective particle swarm optimization algorithm. These findings can assist power system utilities in identifying optimal TCSC locations to maximize their performance.
AB - This study investigates the application of the multiobjective grey wolf optimizer (MOGWO) for optimal placement of thyristor-controlled series compensator (TCSC) to minimize power loss in power systems. Two conflicting objectives are considered: (1) minimizing real and reactive power loss, and (2) minimizing real power loss and TCSC capital cost. The Pareto-optimal method is employed to generate the Pareto front for these objectives. The fuzzy set technique is used to identify the optimal trade-off solution, while the technique for order preference by similarity to the ideal solution suggests multiple optimal solutions catering to diverse utility preferences. Simulations on an IEEE 30 bus test system demonstrate the effectiveness of TCSC placement for power loss minimization using MOGWO. The superiority of MOGWO is confirmed by comparing its results with those obtained from a multiobjective particle swarm optimization algorithm. These findings can assist power system utilities in identifying optimal TCSC locations to maximize their performance.
KW - FACTS
KW - Multiobjective grey wolf optimizer
KW - Pareto-optimal technique
KW - TOPSIS
KW - Thyristor controlled series compensator
UR - https://www.scopus.com/pages/publications/85204512916
U2 - 10.1038/s41598-024-72124-5
DO - 10.1038/s41598-024-72124-5
M3 - Article
C2 - 39300234
AN - SCOPUS:85204512916
SN - 2045-2322
VL - 14
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 21857
ER -