Energy loss estimation in distribution networks for planning purposes

Dickert, Jörg; Hable, Matthias; Schegner, Peter

doi:10.1109/ptc.2009.5281997

Cited by 17 publications

(11 citation statements)

References 3 publications

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“…Pihak penyedia listrik tentunya memerlukan perhitungan kerugian energi ini sebagai pertimbangan pembuatan kebijkan harga listrik maupun aturan yang harus di ikuti oleh pihak pelanggan listrik [2]. Kerugian energi adalah bentuk dari kerugian biaya karena tarif biaya yang dikeluarkan oleh pelanggan selalu dikaitkan dengan energi yang telah mereka pakai bukan besarnya daya listrik (VA) yang mereka ajukan [3]. Para pelanggan dapat dikenakan biaya yang berbeda sesuai porsi kerugian yang di akibatkan dari pemasokan listrik terhadap masing-masing pelanggan.…”

Section: Pendahuluanunclassified

Estimasi Kerugian Energi Jaringan Distribusi Radial pada Penyulang NR 7 20 kV Kota Medan Menggunakan Loss Factor

Sabiq

Penangsang

Wibowo

2017

JTITS

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B222Abstrak-Salah satu indikator untuk mengetahui efisiensi pola operasi sistem kelistrikan pada jaringan distribusi adalah perhitungan kerugian energi yang terjadi pada jaringan distribusi tersebut. Pihak penyedia listrik tentunya memerlukan perhitungan kerugian energi ini sebagai pertimbangan pembuatan kebijkan harga listrik maupun aturan yang harus di ikuti oleh pihak pelanggan listrik. Para pelanggan dapat dikenakan biaya yang berbeda sesuai porsi kerugian yang di akibatkan dari pemasokan listrik terhadap masing-masing pelanggan. Perhitungan kerugian energi ini membutuhkan data pengukuran lapangan yang banyak dan teliti yang pada kenyataannya sulit diperoleh. Selain hal tersebut, metode perhitungan yang cepat dan akurat dengan hasil yang maksimal dan waktu perhitungan yang minimal juga merupakan kebutuhan. Maka dari itu dalam studi ini akan membahas metode estimasi kerugian energi dengan data pengukuran yang minimal serta proses perhitungan yang cepat. Studi ini juga akan menguji metode loss factor yang sesuai dengan karakteristik beban di Indonesai sehingga dapat digunakan untuk melakukan proses estimasi kerugian energi dengan tepat dan cepat bahkan digunakan untuk perencanaan system. Kata Kunci-Karakteristik beban, estimasi pembebanan trafo, load factor , loss factor ,rugi energi.

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Section: Pendahuluanunclassified

Estimasi Kerugian Energi Jaringan Distribusi Radial pada Penyulang NR 7 20 kV Kota Medan Menggunakan Loss Factor

Sabiq

Penangsang

Wibowo

2017

JTITS

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“…Customers want, naturally, only to be billed for what they consumed, and the utility company wants to know exactly how much is consumed in order to level production and to better operate the grid. Unfortunately, loss occurs in the distribution grid due to transformers and old equipment, and are taken into consideration [5]. The question is whether the reported high-frequency data can be altered in a minor way such that the modification will not affect the grid operation, but making it hard to identify each customer uniquely by, for example, making the data from different customers more uniform?…”

Section: Advanced Metering Infrastructure Data Characteristics and Prmentioning

confidence: 99%

Analysis of the impact of data granularity on privacy for the smart grid

Tudor

Almgren

Papatriantafilou

2013

Proceedings of the 12th ACM Workshop on Workshop on Privacy in the Electronic Society

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The upgrade of the electricity network to the "smart grid" has been intensified in the last years. The new automated devices being deployed gather large quantities of data that offer promises of a more resilient grid but also raise privacy concerns among customers and energy distributors.In this paper, we focus on the energy consumption traces that smart meters generate and especially on the risk of being able to identify individual customers given a large dataset of these traces. This is a question raised in the related literature and an important privacy research topic. We present an overview of the current research regarding privacy in the Advanced Metering Infrastructure. We make a formalization of the problem of de-anonymization by matching low-frequency and high-frequency smart metering datasets and we also build a threat model related to this problem. Finally, we investigate the characteristics of these datasets in order to make them more resilient to the de-anonymization process.Our methodology can be used by electricity companies to better understand the properties of their smart metering datasets and the conditions under which such datasets can be released to third parties.

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“…Reactive power is often proposed as a means of controlling the voltage, and its tendency to increase network losses is well documented [2]; however the impact of these losses across network types is not well understood (traditional loss analysis is focused on losses caused by load [3]). For example, reactive power control was found to be the most cost effective network intervention in Germany [4], whilst the authors of [5] suggest that curtailment is the only worthwhile method of voltage control in low voltage networks.…”

Section: Introductionmentioning

confidence: 99%

The Value of Reactive Power for Voltage Control in Lossy Networks

Deakin

Morstyn

Apostolopoulou

et al. 2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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Reactive power has been proposed as a method of voltage control for distribution networks, providing a means of increasing the amount of energy transferred from distributed generators to the bulk transmission network. The value of reactive power can therefore be measured according to an increase in transferred energy, where the transferred energy is defined as the total generated energy, less the total network losses. If network losses are ignored, an error in the valuation of a given amount of reactive power will be observed (leading to reactive power provision being under-or over-valued). The non-linear analytic solution of a two-bus network is studied, and non-trivial upper and lower bounds are determined for this 'valuation error'. The properties predicted by this two-bus network are demonstrated to hold on a three-phase unbalanced distribution test feeder with good accuracy. This allows for an analytic assessment of the importance of losses in the valuation of reactive power in arbitrary networks.

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Energy loss estimation in distribution networks for planning purposes

Cited by 17 publications

References 3 publications

Estimasi Kerugian Energi Jaringan Distribusi Radial pada Penyulang NR 7 20 kV Kota Medan Menggunakan Loss Factor

Estimasi Kerugian Energi Jaringan Distribusi Radial pada Penyulang NR 7 20 kV Kota Medan Menggunakan Loss Factor

Analysis of the impact of data granularity on privacy for the smart grid

The Value of Reactive Power for Voltage Control in Lossy Networks

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