AI Article Synopsis
- This study explores the use of the multiobjective grey wolf optimizer (MOGWO) to find the best positions for thyristor-controlled series compensators (TCSC) to reduce power loss in power systems.
- It focuses on two main goals: minimizing both real and reactive power loss, and reducing both real power loss and the initial cost of TCSC.
- Simulations conducted on an IEEE 30 bus test system show that MOGWO outperforms traditional methods, helping power utilities optimize TCSC placement for improved efficiency.
Article Abstract
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.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11413009 | PMC |
| http://dx.doi.org/10.1038/s41598-024-72124-5 | DOI Listing |
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