Optimizing Bus Coupler Configuration of a Subsystem in Network Configuration considering Operational Constraints

DOI

10.2991/978-94-6463-944-5_6How to use a DOI?

Keywords

bus coupler; genetic algorithm (GA); Particle Swarm Optimization (PSO); loading performance index (LPI); short-circuit current index (SCI); voltage stability index (VSI)

Abstract

The Java, Madura, and Bali (JAMALI) power system is critical to Indonesia’s electrical infrastructure. In 2023, reliability issues were identified in the Krian-Gresik subsystem of East Java, particularly at the 500/150 kV Inter-Bus Transformer (IBT), which operated above 60% of its rated capacity, violating the N-1 contingency criterion. While IBT expansion was proposed to alleviate this loading, it introduced the risk of short-circuit currents exceeding circuit-breaker ratings. This study conducts the optimal bus coupler configuration to mitigate excessive short-circuit currents using a comparative analysis of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The optimization incorporates operational constraints based on short-circuit current, bus voltage, and transformer loading indices to ensure system operational stability. Simulations conducted on a 44-bus model under different IBT expansion within the Krian-Gresik subsystem demonstrate that GA outperformed PSO, achieving the same optimal solution with a significantly higher success rate of 82.5% compared to 13.8% for PSO, and a 15.2% reduction in total computational time. The optimal configuration successfully reduces the IBT loading index from 42.36 to 34.36 and decreases the short-circuit current index from 187.81 to 120.54. The short-circuit currents at the TNDES, SWHAN, and RNKUT substations were reduced by up to 50%. Meanwhile, the voltage stability index increased from 77.93 to 104.70, indicating only minor voltage deviations within permissible limits. The overall system performance improved by 15.74%, establishing the Genetic Algorithm as a highly effective and efficient approach for enhancing security in the JAMALI power system.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Robbyo Ardiles Pakpahan
AU  - Lesnanto Multa Putranto
AU  - Fransisco Danang Wijaya
PY  - 2025
DA  - 2025/12/26
TI  - Optimizing Bus Coupler Configuration of a Subsystem in Network Configuration considering Operational Constraints
BT  - Proceedings of the International Conference on Sustainable Energy: Toward Energy Transition and Net-Zero Emission (ICOSE 2025)
PB  - Atlantis Press
SP  - 69
EP  - 85
SN  - 3005-155X
UR  - https://doi.org/10.2991/978-94-6463-944-5_6
DO  - 10.2991/978-94-6463-944-5_6
ID  - Pakpahan2025
ER  -