This study examines the application of the Lagrange method and Particle Swarm Optimization (PSO) in solving the Economic Dispatch problem at the Tanjung Jati B Steam Power Plant (PLTU). The main objective is to compare the effectiveness of both methods in optimizing load distribution among generation units and to evaluate potential operational cost savings compared to actual operating conditions. The optimization model minimizes a quadratic generation cost function, subject to system load demand and the power output limits of each unit. Simulation data includes daily load distribution and fuel-related parameters such as calorific value and fuel price. The results show that the Lagrange method yields an average power output of 2,367 MW, equal to the real condition, while PSO produces 1,966 MW, which is 16.94% lower. In terms of cost savings, PSO achieves an average saving of IDR 938,501, while the Lagrange method and real operation yield average savings of IDR 1,078,064 and IDR 1,073,076 respectively. In percentage terms, Lagrange shows 12.95% higher savings than PSO and 0.46% higher than the actual condition. This study highlights the importance of integrating optimization methods in power plant operations to improve efficiency and reliability of electricity supply.

Pembangkitan energi harus dapat direncanakan dan disesuaikan. Rencana produksi ditentukan berdasarkan prediksi kebutuhan energi masa depan dan ketersediaan energi baru dan terbarukan. Sistem Pembangkit Listrik Tenaga Surya dan Pembangkit Listrik Tenaga Angin adalah Pembangkit Energi Baru Terbarukan dengan sistem tenaga mandiri, yang memiliki kondisi sumber daya terbaik, dan memiliki prospek aplikasi yang baik. Sehingga perlu adanya penelitian yang mendalam tentang peramalan potensi energi tersebut. Pendekatan penelitian adalah melakukan peramalan potensi energi pembangkit listrik tenaga surya (PLTS) dan pembangkit listrik tenaga angin (PLTB) dengan menggunakan model Jaringan Syaraf Tiruan (JST) Multi Layer Perceptrons (MLP). Hasil penelitian menunjukkan bahwa peramalan potensi energi PLTS dan PLTB Jawa Tengah tahun 2025, PLTS 0,0093% konsumsi energi di Jawa Tengah dan PLTB 0,407% konsumsi energi di Jawa Tengah.

<p>This study discusses the Planning of a Rooftop Solar Power Plant with a Hybrid System at PT East Colony Kudus. The<br />model is set as a PLTS whose solar panels are adjusted to the roof area of the building. This PLTS is functioned as a new<br />renewable energy resource (EBT) in the form of a hybrid between PLTS and PLN's electrical energy source, this is done to<br />help supply electricity. Parameters determined include: roof area, solar panel capacity, inverter capacity, battery capacity<br />and payback period. The results show that PLTS with a total of 80 solar panels installed with a capacity of each panel 405<br />Watt peak, then obtained a power capacity of 32.4 kilo Watt peak which is divided into 5 arrays, with a solar charger controller<br />and inverter using a 10kW capacity of 5 units, 80 batteries with a capacity of 400Ah. So that PLTS is able to contribute 39.3%<br />of the total power needed by PT East Colony (electric power from PLN is 60.7%). This hybrid payback period will return after<br />8 years and 7 months.</p>