Indonesia has set a target of achieving Net Zero Emission (NZE) by
2060 as part of global efforts to reduce greenhouse gas emissions. To
reach this target, increasing the use of renewable energy sources is
crucial. However, many renewable energy sources, such as wind and
Photovoltaic (PV) power plants, exhibit high levels of intermittency.
This intermittency can negatively impact the frequency stability of the
power grid, especially in systems with low inertia.
One solution to address this intermittency is the utilization of battery
energy storage systems. Additionally, imposing limitations on power
generated by high intermittency sources is another potential solution.
Through the process of curtailment, the influence of intermittency on
frequency stability can be significantly reduced.
This study focuses on the case of the North Sulawesi and Gorontalo
systems, examining the method of PV curtailment and its utilization as
a fast frequency response (FFR) using the Event Triggering Virtual
Inertia (ETVI) method. The curtailment process and the utilization of
curtailment energy as FFR are supported by data mining and machine
learning processes to facilitate calculation and forecasting. In addition
to contributing to the operational stability of the system frequency,
utilizing PV curtailment as FFR also offers financial benefits. The study
also conducts financial calculations to illustrate the potential avoided
costs achievable through the implementation of PV curtailment as FFR.