JAKARTA - PT PLN (Persero) implemented a digitization system for a power plant owned by PLN Indonesia Power called the Reliability and Efficiency Optimization Center (REOC). This is an innovation of the electricity engineer PLN Indonesia Power now used for PLN Tanjung Jati B's Generation Main Unit (UIK).
The digital innovation carried out by PLN Indonesia Power is in line with the PLN Transformation Program, where digitalization has become one of the important foundations and continues to be developed by the company in the midst of technological disruptions carried out in an integral, comprehensive and holistic manner.
"We are proud of our best trust and work engineers who will later become part of the success of PLN Tanjung Jati B's performance," said PLN Indonesia Power President Director Edwin Nugraha Putra in his statement to the media, Wednesday, October 5.
Edwin emphasized that PLN Indonesia Power has a high commitment to future business sustainability. This high commitment is also proven in three things that are mandated by PLN for generating, namely digitization, innovation and efficiency where this REOC includes all three.
Digital Power Plant is a technological innovation in the management of technology-based power plants 4.0 aimed at increasing the reliability and efficiency of power plants. REOC was developed independently by PLN Indonesia Power as a form of digitization, innovation and generating efficiency.
PLN Indonesia Power has a long experience in the field of generation, this can be a role model for others. We thank PLN Indonesia Power for receiving this collaboration, we hope that we can be helped and guided by PLN Indonesia Power and can share about this digitalization," said General Manager of PT PLN UIK Tanjung Jati B, Hari Cahyono.
The advantages of the REOC system are proven reliable and efficient in attracting the interest of several Electricity stakeholders to cooperate with PLN Indonesia Power. Because essentially this REOC is an integrated digital application that has a main function of monitoring more than 13 GWh of various power generation technologies in 20 unit locations and more than 50,000 parameters.
Big data and artificial intelligence are used to design automatic failure detection features which play a role in maintaining the reliability and efficiency of power generation.
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