Customer Costs Related to Interruptions and Voltage Problems: Methodology and Results

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

doi:10.1109/tpwrs.2008.922227

Cited by 71 publications

(38 citation statements)

References 6 publications

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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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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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“…Type of power quality problem can be divided into two basic categories i.e. the disturbances and steady state [5,6]. Disturbances are measured by triggering on an abnormally in the voltage or the current.…”

Section: Power Quality Problem and Harmonic Measurementmentioning

confidence: 99%

“…the effect of voltage harmonics and current harmonics [5,6,12]. Harmonic voltages and currents in an electric power system are a result of non-linear electric loads.…”

Section: Power Quality Problem and Harmonic Measurementmentioning

confidence: 99%

A compact design of multi-feeder data logging system for power quality measurement with a multiplexer and a single PQ transducer

Syamsir

Said

Wijaya

2017

J. Mechatron. Electr. Power Veh. Technol.

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This paper presents a simple and costs effective equipment design multi-feeder data logger for recording and monitoring power quality. The system design uses remote supervising and multi-feeder data logging system (RESMOS). The data collected through resmos portable unit (RMPU) will automatically be saved with the format as binary and comma separated value (CSV). The time setting on the RMPU can be configured with minimum one minute per logging. This data logger uses a single transducer with a multiplexer for recording and monitoring ten channels of power quality at busbar. The system design has been validated with national metrology laboratory scientific and industrial research institute of Malaysia (SIRIM). This tool has the advantage that it can be used to measure harmonic data more than 21 st at the same time for ten channels and equipped with software making it easier for analysis data with low operational costs versus another power quality equipment. The experimental results indicate that the proposed technique can accelerate data reading with conversion rate one sample per second for each channel. The device can be used to measure harmonic level and power quality with a confidence level above 95% and percentage error under 2.43% for total harmonics distortion (THD) and 1.72% for voltage harmonics.

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“…The marginal cost of load shedding per delivery point c L depends on, e.g., customer type, interruption duration, and time of interruption, see [11][12][13].…”

Section: Consequence Analysismentioning

confidence: 99%

Scenario selection in composite reliability assessment of deregulated power systems

Kile

Uhlen

Kjølle

2014

International Journal of Electrical Power & Energy Systems

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Power market analysis should be incorporated in reliability assessments of deregulated power systems. For the Nordic power system, this is done by using The Multi-area Power-market Simulator (EMPS) for long-term power market analysis, where EMPS finds the optimal socio-economic dispatch on a weekly basis, with respect to, e.g., hydro reservoir levels. The EMPS analysis results in a set of load and generation scenarios, and these scenarios are interpreted as a sample of future power market behaviour, and is used as basis for a reliability assessment. These load and generation scenarios are referred to as power market scenarios.The power market analysis produces a large number of power market scenarios, and to include all these scenarios in a reliability assessment results in excessive computation time. The scenario selection method is presented and discussed. Scenario selection is used to pick out a subset of the generated power market scenarios, to only use this subset of scenarios as a basis for the reliability assessment. It is shown that the scenario selection method can reduce the scenario set by about 90%, with little loss of accuracy in the reliability assessment.

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Customer Costs Related to Interruptions and Voltage Problems: Methodology and Results

Cited by 71 publications

References 6 publications

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

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

A compact design of multi-feeder data logging system for power quality measurement with a multiplexer and a single PQ transducer

Scenario selection in composite reliability assessment of deregulated power systems

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