A reliable electrical grid the power plant scheduling system needs to optimize the plant's performance by considering the economic value and the value of emissions generated by the plant, in addition to the reliability and economic sectors. This system should also take into account the environmental impact, as well as the CO2 and CH4 emissions produced by the plant. This research will use the Dragonfly Algorithm with weighting parameters to schedule hydro and thermal facilities' emissions and economic activities. That the weighting value impacts production costs and emissions is demonstrated by the data acquired from the Dragonfly Algorithm simulation. If economic considerations take precedence in assigning weights, then low-cost generating will result in high-value emissions, and vice versa. The plant's Emission Intensity rating also meets the standards established by the government.

This study examines the implementation of the Permissive Overreach Transfer Trip (POTT) Echo scheme with the activation of the Weak-End Infeed (WEI) function on distance protection systems in a 150 kV transmission network to enhance protection reliability and selectivity, especially at substations with weak infeed currents. Before WEI activation, the protection system experienced delays or failures in detecting faults, particularly for faults in zone 2, where the relay tripped with a delay instead of achieving a desired reclose, thereby extending the Transmission Line Outage Duration (TLOD). After WEI activation, test results showed that the relay provided an instantaneous trip response, and the autoreclose function operated after 1000 ms, significantly reducing TLOD. The success of the echo signal ensured smooth communication between relays, supporting efficient protection coordination. Moreover, the selectivity function remained intact. The implementation of this scheme has proven to enhance the reliability of the protection system, offering a more stable and responsive solution for addressing the challenges posed by weak infeed currents.
 
Keywords: POTT, Echo, Weak-End Infeed, Distance Protection, Autoreclose
 
ABSTRAK
Penelitian ini membahas implementasi skema Permissive Overreach Transfer Trip (POTT) Echo dengan aktivasi fungsi Weak-End Infeed (WEI) pada sistem proteksi jarak di jaringan transmisi 150 kV untuk meningkatkan keandalan dan selektivitas proteksi, khususnya di gardu induk dengan arus infeed lemah. Sebelum aktivasi WEI, sistem proteksi mengalami keterlambatan atau kegagalan dalam mendeteksi gangguan, terutama pada gangguan di zona 2, di mana relay memicu trip dengan waktu tunda, meskipun reclose diharapkan, sehingga memperpanjang durasi gangguan (Transmission Line Outage Duration - TLOD). Setelah aktivasi WEI, hasil pengujian menunjukkan bahwa relay memberikan respon trip instan, dan fungsi autoreclose dapat bekerja setelah 1000 ms, mengurangi TLOD secara signifikan. Keberhasilan sinyal echo memastikan komunikasi antar relay berjalan lancar, mendukung koordinasi proteksi yang efisien. Selain itu, fungsi selektivitas tetap terjaga. Penerapan skema ini terbukti meningkatkan keandalan sistem proteksi, memberikan solusi yang lebih stabil dan responsif dalam menghadapi tantangan arus infeed lemah.

As a resource supporting public health services, management of electromedical equipment must be carried out quickly, accurately and integratedly so that function, safety, security and benefits can be optimized. The management of electromedical equipment is regulated in the Republic of Indonesia Minister of Health Regulation Number 65 of 2016 concerning Electromedical Service Standards. The expected result of this research is an expert system that can accurately detect damage to sterile electromedical equipment, especially autoclaves. This expert system can then assist electromedical technicians in finding damage and as an assessment in making decisions for appropriate and validated actions to be taken. From the results of testing and analysis of the expert system for detecting damage to Autoclaves using the fuzzy logic method, the following conclusions were obtained. The damage detection expert system application in the Autoclave has been proven to be able to provide 100% diagnosis results. This system can assess the degree of damage of 11.6235981%. based on the input symptoms provided, thus providing decisions that are close to the actual conditions. The expert system built is able to speed up the damage detection process compared to manual methods. This helps in taking quicker action to prevent further damage to the autoclave.