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Studi Penerapan Power Wheeling Pembangkit Fotovoltaik Dengan Metode MW-km Muhammad Bhayu Bramantyo; Sasongko Pramonohadi; Sarjiya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 1: Februari 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i1.6332

Abstract

Efforts to mitigate carbon emissions within the electricity sector involve the implementation of environmentally sustainable renewable energy sources. Photovoltaic (PV) generation, functioning as a distributed generation (DG), represents a current trend in renewable energy installations. A distributed generation (DG) is situated near the load within distribution networks. When applied, a PV-DG influences the magnitude of power losses within existing electrical networks, subsequently impacting associated energy loss expenses. Additionally, adequate land availability is required for the PV-DG installation. The cooperation between PV-DG power providers and load partners is conducted remotely, resulting in distribution challenges. The construction of distribution lines by business actors to evacuate their electricity production is almost impossible. Distribution network rental emerges as an interesting solution, i.e., through a distribution network collaborative utilization scheme or power wheeling. This study seeks to examine the implementation of power wheeling of PV generation within the IEEE 33-bus distribution network system, by finding the location of the bus placement of the PV wheeling generation that results in the smallest total energy loss cost and distribution network rental cost. The MW-km method served as the basis for calculating network rental expenses. Moreover, this study incorporated the land availability associated with each bus. Findings indicate that positioning the PV wheeling generation at bus 8 yielded minimal total annual energy loss and distribution network rental costs. It indicates that the placement of a wheeling PV generation in arbitrary places does not necessarily result in the smallest total energy loss costs and distribution network rental costs.
Integrated PV-Farm and Micro Hydro as Distributed Generation in The Distribution Network Prabowo, Muhaimin Muchti; Prasetyo, Pandhu Ardi; Putranto, Lesnanto Multa; Sarjiya, Sarjiya; Kurniawan, Jaya
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 6, No 1 (2025)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v6i1.104834

Abstract

Renewable energy should be implemented in a compact size appropriate for a distributed generation (DG) system in order to maximize its maximum potential. For the distribution system utility, integrating a lot of DGs may cause some problems like voltage regulation and line loading violation. The condition might be worse if the DG is not owned by the distribution system since there are not so many control options. For that purpose, the optimization method for determining the location and size of DG is proposed based on the power system losses minimization. The optimization model is developed using a genetic algorithm technique. The real case 20 kV Godean Distribution System feeder number 4, having a peak load of 5.11 MW, is used for the test case with the integration options of solar and hydropower. The power system model is built using DIgSILENT PowerFactory, while the optimization model is built under the Python environment. Three scenarios, namely solar only, hydro only, and solar-hydro optimized, are developed to show the proposed method's effectiveness. From the simulation result, it shows that installing DGs in some buses and different resources may increase the penetration levels, which are 3.14, 2.24, and 3.78 MW, simultaneously for the solar-only, hydro-only, and solar-hydro-optimized scenarios. Furthermore, the solar-hydro-optimized scenario also results in higher loss reduction (7.27%) compared to 6.85% (solar only) and 6.56% (hydro only).