Determination of the total cost of active power losses and methods to reduce power losses in low-voltage distribution networks

Armas, Jelena; Ivanov, Aleksandr

doi:10.1109/rtucon48111.2019.8982319

Cited by 4 publications

(5 citation statements)

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“…Active electrical power flows from the generator to the load on the line in the power grid system. The process results in active power loss due to the resistance value in the system, resulting in energy loss costs [20]. The active power energy loss costs were calculated using (1).…”

Section: B Active Power Lossmentioning

confidence: 99%

Studi Penerapan Power Wheeling Pembangkit Fotovoltaik Dengan Metode MW-km

Muhammad Bhayu Bramantyo,

Sasongko Pramonohadi,

Sarjiya

2024

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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Upaya dalam mengurangi emisi karbon pada sektor ketenagalistrikan adalah dengan menerapkan pembangkit energi terbarukan yang lebih ramah lingkungan. Pembangkit fotovoltaik (photovoltaic, PV) sebagai pembangkit terdistribusi (distributed generator, DG) merupakan salah satu pembangkit dari energi terbarukan yang menjadi tren saat ini. DG merupakan pembangkit yang letaknya dekat dengan beban pada jaringan distribusi. Dalam penerapannya, PV DG akan memengaruhi besar rugi daya pada jaringan listrik yang sudah ada (existing), sehingga juga memengaruhi besar biaya rugi energi. Selain itu, ketersediaan lahan yang memadai juga diperlukan dalam pemasangan PV DG. Hal ini menyebabkan kerja sama antara pelaku usaha penyedia tenaga listrik PV DG dengan partner beban dilakukan secara berjauhan, sehingga menimbulkan masalah penyaluran. Pembangunan saluran distribusi oleh pelaku usaha untuk evakuasi produksi listriknya hampir tidak mungkin dilakukan. Sewa jaringan distribusi menjadi solusi yang menarik, yaitu melalui skema pemanfaatan bersama jaringan distribusi atau power wheeling. Penelitian ini bertujuan untuk melakukan studi penerapan power wheeling pembangkit PV pada sistem jaringan distribusi IEEE 33 bus, dengan mencari lokasi bus penempatan pembangkit wheeling PV yang menghasilkan total biaya rugi energi dan biaya sewa jaringan distribusi terkecil. Metode MW-km digunakan untuk perhitungan biaya sewa jaringan. Ketersediaan lahan tiap bus juga dipertimbangkan dalam penelitian ini. Hasil penelitian menunjukkan bahwa penempatan pembangkit wheeling PV di bus 8 menghasilkan biaya total rugi energi dan biaya sewa jaringan distribusi terkecil selama setahun. Hal tersebut menunjukkan bahwa penempatan pembangkit wheeling PV di sembarang tempat belum tentu menghasilkan total biaya rugi energi dan biaya sewa jaringan distribusi terkecil.

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Section: B Active Power Lossmentioning

confidence: 99%

Studi Penerapan Power Wheeling Pembangkit Fotovoltaik Dengan Metode MW-km

Muhammad Bhayu Bramantyo,

Sasongko Pramonohadi,

Sarjiya

2024

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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“…The 30-days EL (in MWh) can be estimated for each 𝑖 𝑡ℎ feeder section based on its PPL, LsF and the period for 1 month [35], as shown in (10). In (11) calculates the LsF based on the feeder section's LF and LsF coefficient, 𝛼. The LF of the feeder section is calculated as the ratio of the average demand to the PPD.…”

Section: Feeder Energy Losses Estimationmentioning

confidence: 99%

“…Thus, the economics of the distribution network is dependent on the assessment of technical [10]. This is due to the fact that lowering losses lowers CO2 emissions [11]. A study has shown that peak demand-driven network design is costlier in the long run compared to the loss-inclusive network design [12].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous theoretical calculation methods to determine EL are found in the literature, such as in reference [4], [18]- [20] are well established. Numerical simulations of load flow over time intervals are commonly utilized to analyze EL precisely in distribution feeders [11], [14], [21]- [23]. Fuzzy logic [24], clustering algorithm [25], and machine learning [26] are examples of artificial intelligence techniques.…”

Section: Introductionmentioning

confidence: 99%

“…However, these methods require a thorough understanding and detailed modeling of a load profile (LP) of the distribution system, making EL estimation complicated and impractical when dealing with extensive distribution networks. When the detail networks and energy metering data are unavailable, the loss factor approach is frequently used by utilities to estimate EL in the distribution network [11], [27]. Researchers in [4], [17], [28]- [30] use benchmark networks to calculate the EL of wide distribution networks based on their clusters.…”

Section: Introductionmentioning

confidence: 99%

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An efficient method for estimating energy losses in distribution's feeder

et al. 2023

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This paper explains a simple and efficient methodology for calculating monthly energy losses (EL) using the load loss factor technique and a representative composite load profile. One of the important benefits of the proposed work is a simpler, more efficient and less rigorous method to estimate the system-wide energy loss of an extensive distribution network with reasonable accuracy. The sum of all EL provided by each feeder section is used to calculate the total feeder EL. A base case feeder with a typical cable type and power factor is used to generate regression equations, a peak power loss function to estimate the EL. A case study is then used to show the models and techniques that have been established. The result indicates a high level of agreement with the time-series load flow simulations (smaller than 10% deviations). With this model, an approach to estimate the EL of all radial feeders of various configurations and characteristics could be extended and implemented. The spreadsheet approach is ideal for completing a quick energy audit of existing distribution feeder EL and determining the sensitivity of distribution network efficiency to changes in feeder sections and load characteristics.

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