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Journal : JASEE Journal of Application and Science on Electrical Engineering

Metode Particle Swarm Optimization Untuk Menentukan Daya Optimal Turbin Gas PLTGU Grati Berdasarkan Heat Rate Mohammad Faris Wahyudi; Sabar Setiawidayat; Fachrudin Hunaini
JASEE Journal of Application and Science on Electrical Engineering Vol. 2 No. 01 (2021): JASEE-March
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v2i01.161

Abstract

Pembangkit tenaga listrik thermal merupakan suatu pembangkit yang menghasilkan energi listrik yang berasal dari energi thermal. Energi thermal bisa dihasilkan melalui pembakaran bahan bakar berupa gas ataupun batubara. Berdasarkan hal tersebut, pada pembangkit tenaga listrik thermal konsumsi bahan bakar sangatlah mempengaruhi biaya produksi energi listrik, sehingga diperlukan suatu teknik pengoperasian pembangkit yang optimum. Salah satunya pada PT Indonesia Power UPJP Perak Grati yang merupakan perusahaan pembangkitan tenaga listrik yang dalam pengopeasiannya memerlukan cara dalam penghematan bahan bakar gas berdasarkan nilai heat rate (Kcal/kWh) khususnya dalam penghematan biaya pokok produksi. Pada penelitian ini Particle Swarm Optimization (PSO) digunakan sebagai metode untuk penentuan daya optimal pada generator Pembangkit Listrik Tenaga Gas (PLTG) Perak Grati. Berdasarkan hasil penelitian, dihasilkan adanya penghematan konsumsi gas antara metode PSO dengan kondisi aktual, dimana saat permintaan daya 310 MW, terjadi penghematan konsumsi gas sebesar 0.5968 BBTU/h atau setara dengan Rp 57.168,00/h.
Perbaikan Faktor Daya Pada Beban Listrik Skala Rumah Tangga Dengan Metode Fuzzy Logic Fachrudin Hunaini; Andhika Ridho Adisyahrudin; Sabar Setiawidayat
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.434

Abstract

The use of electrical energy is very important for household needs. The greater the use of electrical loads, the greater the need for electrical energy. Every electrical load has a power factor. A low power factor value <0.8 causes power and current usage to be less than optimal. This can be caused by the large use of inductive loads such as electric pumps, electric heaters, TL lamps, and so on. To overcome this, it is necessary to improve the power factor by using capacitors. In this paper, power factor improvement is designed using the Fuzzy Logic method as a data processor embedded in the microcontroller to determine the capacitor variable supported by a sensor to read the values of current, voltage, power, cosphi, and frequency in the electric current as input to the microcontroller and a combination of relays as output to determine the best capacitor value so that the power factor is improved to > 0.8.The use of electrical energy is very important for household needs. The greater the use of electrical loads, the greater the need for electrical energy. Every electrical load has a power factor. A low power factor value <0.8 causes power and current usage to be less than optimal. This can be caused by the large use of inductive loads such as electric pumps, electric heaters, TL lamps, and so on. To overcome this, it is necessary to improve the power factor by using capacitors. In this paper, power factor improvement is designed using the Fuzzy Logic method as a data processor embedded in the microcontroller to determine the capacitor variable supported by a sensor to read the values of current, voltage, power, cosphi, and frequency in the electric current as input to the microcontroller and a combination of relays as output to determine the best capacitor value so that the power factor is improved to > 0.8.