Optimal Transfer Constraint Adjustments in the Java-Madura-Bali System Using Quasi-Dynamic Simulation with Python Programming

The Java-Madura-Bali (Jamali) power system is the largest power system in Indonesia, supplying an electricity demand exceeding 32,000 MW in 2024. The operation of a power system involves multiple considerations, including economic efficiency, reliability, and power quality. There are many key performance indicators in power system operation, including transmission losses and production costs. In 2024, the Jamali system experiences a transmission loss of 1.96%, equivalent to 4,525 GWh, with a production cost of 1,147.98 Rp/kWh. To optimize these parameters, system planners propose a strategy involving the adjustment of 500 kV transfer constraints using Quasi-Dynamic simulation implemented in Python. Simulation results indicate that increasing the transfer constraints in the Jamali 500 kV transmission lines results in a transmission loss increase of 0.01% while reducing production costs by 0.04 Rp/kWh. Conversely, reducing transfer constraints leads to lower transmission losses by 0.04% but increases production costs by 0.46 Rp/kWh. From a financial perspective, the analysis concludes that a lower transfer constraint of Jamali system is more cost-effective than a higher transfer constraint, yielding savings of Rp 9.92 billion annually.