Interruption Costs and Consumer Valuation of Reliability of Service in a Liberalised Power Market

Samdal, Knut; Kjølle, Gerd Hovin; Singh, Balbir Singh Mahinder; Kvitastein, Olav Andreas

doi:10.1109/pmaps.2006.360322

Cited by 15 publications

(13 citation statements)

References 6 publications

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“…The inputs to the simulation algorithm are given in Table I and include target (baseline) value of SAIDI required by the distribution system regulator, cost parameter c ij , average number of faults per year and time horizon (number of simulated years). Cost-benefit analysis is based on the approach explained in Section II, where the annual benefit is defined according to (4). The key economic benefit is modeled by cost parameter c ij which makes the worth of reliability proportional to the difference between target and real SAIDI.…”

Section: A Base Case Resultsmentioning

confidence: 99%

Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Mršić¹,

Lekić²,

Erceg³

et al. 2019

ELS

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Fault passage indicators (FPIs) and fault locators (FLs) are employed in modern distribution networks in order to enhance the process of fault localization, thus resulting in reduction of interruption time and improving the reliability of power supply. In this paper, a novel probabilistic techno-economic optimization method is proposed for determining the number and positions of FPIs that lead to maximum reduction of interruptiontime and investment costs in medium voltage (MV) distribution networks with and without FLs. The proposed method is basedon a probabilistic non-sequential Monte Carlo simulation model of the real network, which is a proper compromise between complicated sequential simulation models and too simplified analytical models. The main goal of the method is to obtain maximum improvement of the network reliability indices while using the minimum number of FPIs. The method is tested on a combinedurban/rural MV distribution network in Bosnia and Herzegovina and results are thoroughly discussed.

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Section: A Base Case Resultsmentioning

confidence: 99%

Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Mršić¹,

Lekić²,

Erceg³

et al. 2019

ELS

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“…Using macro-economic models, Bliem [2] divides the economy in six sectors, de Nooij et al [3] in seven, de Nooij et al [4] in six, O' Leary et al [5] in 19, and Growitsch et al [6] in 15 sectors. Using stated preferences, Lehtonen and Lemstrom [7] limit their analysis on four sectors, while Samdal et al [8] and Kjolle et al [9] respectively concentrate on five sectors.…”

Section: Overview Of Methods and Literature Regarding Power Interruptmentioning

confidence: 99%

The Value of Lost Load for Sectoral Load Shedding Measures: The German Case with 51 Sectors

Praktiknjo

2016

Energies

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Abstract:The transition of the German electricity system towards a renewable, nuclear free and increasingly fluctuating power generation raises concerns about supply security. A possible contribution to solve this issue might lie in demand response or load shedding measures. The goal of our work is to monetarily quantify the consequences of power interruptions. The focus lies on power interruption costs in 51 economic sectors. Two input-output models are proposed to estimate the Value of Lost Load for each sector. The first does not take inter-linkages of the sectors and possible cascading effects on interruption costs into account. The second model is a new and innovative approach which is based on the Ghosh Input-Output model and which accounts for these effects. We assume that the first model is adequate to assess shorter power interruptions, whereas the second model might be more appropriate when estimating costs of longer interruptions.

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“…Normalized costs of a definite respondent for the given scenario have been calculated using the equation [6,8]: (depends on r). For SCDF calculation, the normalized costs for definite respondents from one sector and the given scenario were used.…”

Section: Customer Damage Functionsmentioning

confidence: 99%

“…For SCDF calculation, the normalized costs for definite respondents from one sector and the given scenario were used. For calculation the following equation was taken [6,8]: is the number of respondents in sector s.…”

Section: Customer Damage Functionsmentioning

confidence: 99%

Estimation of Power Supply Interruption Costs for Latvian Customers / LATVIJAS LIETOTĀJU AR ELEKTROAPGĀDES PĀRTRAUKUMIEM SAISTĪTO ZAUDĒJUMU NOVĒRTĒŠANA

Ļvovs¹,

Mutule²

2013

Latvian Journal of Physics and Technical Sciences

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The estimation of power supply interruption costs was performed in Latvia in 2012, in the framework of a survey study (the first officially recognized study of interruption costs in Latvia since restoration of Independence in the early 90's). The survey involved ~ 3000 end users, which are classified as the major electrical energy consumers in the country. As a result, the customer damage functions (CDFs) and the functions of cost deviations depending on the interruption occurrence time have been created. The study is unique not only for Latvia, but also for the whole Baltic region. The information obtained is usable for improving the quality of supply regulation (also known as Performance Based Regulation (PBR)) and for planning and running the power networks.

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Interruption Costs and Consumer Valuation of Reliability of Service in a Liberalised Power Market

Cited by 15 publications

References 6 publications

Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

The Value of Lost Load for Sectoral Load Shedding Measures: The German Case with 51 Sectors

Estimation of Power Supply Interruption Costs for Latvian Customers / LATVIJAS LIETOTĀJU AR ELEKTROAPGĀDES PĀRTRAUKUMIEM SAISTĪTO ZAUDĒJUMU NOVĒRTĒŠANA

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