21 research outputs found
Load Balancing on TJSB Transformer Distribution using Two-Points Time Method
Get PDFThe load unbalances is caused by single phase loads on low voltage network consumers. In the design of three-phase transformer loads are generally designed in a balanced way, but in reality that occurs, the distribution of transformer load in the network is not balanced. This unbalance can lead the current to flow in a neutral conductor if not observed accordingly. The flowing current in the transformer's neutral conductor can cause losses. This paper discusses load balancing using the two-point time method as a recommendation for moving the consumer's load from one phase to another phase. This study used real data by performing direct measurements on the loading of TJSB transformer Pabuaran feeder of PT (PLN) Persero Sukabumi Region both before and after the load balancing. The results obtained after the load balancing include the percentage of unbalance during the day that is 5% which was previously 16% and at night become 5.6% from 25.6%. The initial neutral current was 44 A and decreased to be 16 A during the day, while at night decreased from 68 A to 24 A. Power losses due to neutral currents flowing in the neutral conductor obtained at noon i.e. 0.19 kW from previously 1.32 kW and at night 0.39 kW from the previous 2.3 kW
Reactive power optimization of distributed generation for voltage regulation of distribution systems
No full textReactive Power Optimization of Distributed Generation for Voltage Regulation of Distribution Systems
No full textAdditional intermittent PV generation and
variability load profiles can cause problems in voltage regulation
of power systems. Nowadays, PV does not participate in the
system voltage control; it can cause a voltage increase or decrease
and cause voltage fluctuation disturbance along the feeder.
However, the situation can be different if PV participated in
voltage control. This paper proposes an approach of flower
pollination algorithm as a solution to determine optimal reactive
power value that can be produced by PV. Result showed PV
generation as variable power factor can positively affect voltage
profile and can also reduce voltage fluctuation disturbance both
in distribution and transmission system
Reliability Analysis of Randu Garut 3 Distribution System Using Section Technique Method
No full textANALISIS PENGGUNAAN SINGLE TUNED FILT FILTER DAN HIGH PASS FILTER UNTUK MENGATASI HARMONIK ARUS BEBAN NON LINIER PADA PERALATAN RUMAH TANGGA
No full textImpact of high penetration of Photovoltaic Generation on voltage fluctuation of transmission and distribution systems
No full textOptimizing the placement and construction capacity of the Mantingan Substation using the imperialist competitive algorithm method
Get PDFJudul: Optimasi penempatan dan kapasitas pembangunan Gardu Induk Mantingan dengan metode imperialist competitive algorithmTitle: Optimizing the placement and construction capacity of the Mantingan Substation using the imperialist competitive algorithm method Optimasi penempatan dan kapasitas pembangunan gardu induk (GI) merupakan permasalahan yang penting dalam perencanaan sistem transmisi-distribusi. Pembangunan gardu induk baru direncanakan dalam menentukan kesiapan GI untuk melayani pertumbuhan beban di masa datang sehingga lokasi dan kapasitas yang optimal menjadi hal penting untuk dipertimbangkan. Metode metaheuristic-imperialist competitive algorithm (ICA) dalam penelitian ini digunakan dalam menentukan kapasitas dan lokasi perluasan GI secara optimal. Kekangan yang digunakan yaitu kondisi geografis dan tegangan penyulang sebesar 0,90 p.u. sampai dengan 1,05 p.u. Jenis perencanaan yang dilakukan adalah perencanaan satu tahap, dengan periode waktu 8 tahun (jangka panjang). Hasil penelitian mengusulkan tiga penyulang; Walikukun, Trinil dan Sine dipindahkan ke GI baru yakni di Mantingan. Dengan skenario tersebut, didapatkan bahwa kapasitas transformator pada GI Mantingan sebesar 60 MVA, lokasi pembangunan GI pada koordinat -7.4027, 111.1282 dan total biaya pembangunan GI sebesar 85,541 milyar rupiah. Optimizing the substation (SS) placement and development capacity is an essential issue in planning the transmission distribution system. Furthermore, the construction of new substations is intended to determine the SS's readiness to serve the load growth in the future so that optimal location and capacity are essential things to consider. The metaheuristic-imperialist competitive algorithm (ICA) method is used in this study to determine the optimal capacity and location for SS expansion. The constraints used are geographical conditions and feeder stress of 0.90-1.05 p.u. The planning carried out is one-stage planning, with a period of 8 years (long term). The study results propose that three feeders, i.e., Walikukun, Trinil, and Sine, were transferred to a new SS in Mantingan. With this scenario, we get the transformer capacity of the Mantingan substation is 60 MVA. The substation construction location is at coordinates -7.4027, 111.1282, and the total construction cost of the substation is 85.541 billion rupiahs.</p
Optimal Scheduling of Electric Vehicle Charging: A Study Case of Bantul Feeder 05 Distribution System
Get PDFThe growing popularity of electric vehicles (EVs) has the potential to complicate distribution network operations. When a large number of electric vehicles are charging at the same time, the system load can significantly increase. This problem is exacerbated when charging is done concurrently in the evening, which coincides with peak load times. To prevent the increase in peak load and distribution operation stress, EV charging must be coordinated to achieve financial and technical objectives. This study seeks to evaluate the impact of financially driven EV charging scheduling algorithms. The contribution of this study is that the scheduling algorithm considers EV usage behavior based on real data as well as considers the state-of-charge (SoC) target set by EV owners. The proposed algorithm seeks to minimize the total charging cost incurred by EV owners using mixed-integer linear programming (MILP). The impact of the coordinated charging scheduling on the system demand profile and real distribution system operation metrics are also evaluated. The simulation result tested on the Bantul Feeder 05 system demonstrates that coordinated charging can reduce the charging costs by 57.3%. Furthermore, the peak load is reduced by 5.2% while also improving the load factor by 3.5% as compared to uncoordinated scheduling. Based on the power flow simulation, the proposed algorithm can reduce distribution transformer loading by 0.5% and improve voltage quality by 0.1% during peak load. This demonstrates that coordinated EV charging benefits not only the EV users but also the distribution system operator by preventing system operation issues
Optimization of Distributed Generation Placement and Capacity Using Flower Pollination Algorithm Method
Get PDFThe need for energy, especially electricity is increasing along with the development of technology. An increase in electrical load and the location of the powerplant far causes voltage drops and causes power line losses. One solution can be chosen by adding a distributed generation (DG) to the distribution network. This study aims to enhance the voltage profile and reduce power losses based on the optimal placement and capacity of DG-based photovoltaic (PV) in the Bantul Feeder 05 distribution network. The flower pollination algorithm (FPA) method is used to determine the optimal DG placement and capacity. The study was conducted using three additional DG scenarios, namely scenario 1 with single DG and scenario 2 with multi-DG (2 DG and 3 DG). The results showed that the optimal placement and capacity of DG were on buses 9, 19, and 33 with DG sizes of 1.880 kW, 2.550 kW, and 2.300 kW, respectively. This placement can increase the voltage profile and reduce the active power loss from 439.8 kW to 77.5 kW. The research also considers the increase in the reliability of the distribution system observe by the energy not supplied and cost of energy not supplied index
RANCANGAN ALAT PEMBERI PAKAN KUCING OTOMATIS DENGAN MIKROKONTROLER BERBASIS SENSOR ULTRASONIK
Get PDFKucing merupakan hewan yang banyak dipelihara oleh masyarakat. Namun, dalam memelihara kucing, pola makan perlu diperhatikan untuk mencegah kucing sakit. Oleh karena itu, dibuatlah rancangan alat pemberi pakan kucing otomatis yang akan membantu menyelesaikan permasalahan dalam pemberian pakan pada kucing di tengah kesibukan masyarakat. Alat ini dirancang dengan menggunakan penggerak motor servo untuk membuka katup pada tempat pakan dan menggunakan mikrokontroler Arduino UNO. Alat ini dirancang untuk mengeluarkan pakan secara otomatis dengan mendeteksi tanda kelaparan pada kucing. Salah satu tanda kelaparan pada kucing yaitu dengan mendekati tempat pakannya. Alat pemberi pakan kucing otomatis ini juga dirancang dengan menggunakan sensor ultrasonik sebagai pendeteksi jarak keberadaan kucing di sekitar tempat pakan. Alat ini akan membuka katup tempat pakan secara otomatis ketika kucing berada kurang dari 10 cm dari tempat pakan. Setelah itu katup akan kembali tertutup secara otomatis. Selain pembuatan rangkaian alat, dilakukan juga pembuatan rancangan mekanik wadah dari alat pemberi pakan kucing otomatis dengan prinsip pemenuhan fungsi penyimpanan dan penyediaan pakan dengan baik
