A Method for Estimating the Frequency and Cost of Voltage Sags

Heine,; Pohjanheimo,; Lehtonen,; Lakervi,

doi:10.1109/mper.2002.4312130

Cited by 8 publications

(10 citation statements)

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“…On the other hand, Heine et al [13] suggested that a voltage sag with a 0.5 p.u. RMS voltage will cause tripping in most of the load types.…”

Section: Equivalence Factorsmentioning

confidence: 99%

“…Generic assessments of industrial process voltage sag performances are provided by [10][11][12][13] whilst [14][15][16] focused on hot-mill process, textile processes, and the automotive industry, respectively. Moreover, there have been previous case studies for the evaluation of voltage sag costs based on customers from Finland [13], Italy [17], Portugal [18], and Thailand [19].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, there have been previous case studies for the evaluation of voltage sag costs based on customers from Finland [13], Italy [17], Portugal [18], and Thailand [19]. Detailed information about the characteristics of voltage sags and technical impacts of these events can be found in [20,21].…”

Section: Introductionmentioning

confidence: 99%

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Macroeconomic Assessment of Voltage Sags

Küfeoğlu

Lehtonen

2016

Sustainability

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Abstract:The electric power sector has changed dramatically since the 1980s. Electricity customers are now demanding uninterrupted and high quality service from both utilities and authorities. By becoming more and more dependent on the voltage sensitive electronic equipment, the industry sector is the one which is affected the most by voltage disturbances. Voltage sags are one of the most crucial problems for these customers. The utilities, on the other hand, conduct cost-benefit analyses before going through new investment projects. At this point, understanding the costs of voltage sags become imperative for planning purposes. The characteristics of electric power consumption and hence the susceptibility against voltage sags differ considerably among different industry subsectors. Therefore, a model that will address the estimation of worth of electric power reliability for a large number of customer groups is necessary. This paper introduces a macroeconomic model to calculate Customer Voltage Sag Costs (CVSCs) for the industry sector customers. The proposed model makes use of analytical data such as value added, annual energy consumption, working hours, and average outage durations and provides a straightforward, credible, and easy to follow methodology for the estimation of CVSCs.

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“…On the other hand, Heine et al [13] suggested that a voltage sag with a 0.5 p.u. RMS voltage will cause tripping in most of the load types.…”

Section: Equivalence Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Macroeconomic Assessment of Voltage Sags

Küfeoğlu

Lehtonen

2016

Sustainability

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“…There are many studies tried to estimate outage cost. [8] construct the method for estimating the magnitude and frequency of voltage sags and calculate the economic loss of them by multiplying the sag frequency and cost per sag by the number of customers affected. As a recent work, [9] evaluate the economic losses from power shortage in the industrial sector.…”

Section: The Economic Loss In Industrial Sectormentioning

confidence: 99%

Ex-ante Evaluation of Economic Costs from Power Grid Blackout in South Korea

Kim¹,

Jo²,

Koo³

2014

Journal of Electrical Engineering and Technology

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-South Korea is recently under serious situation in supplying electricity with enough power reserve. A single fault of power plant at a peak-load time may lead to a total blackout for whole area connected by a single electric grid and isolated from other grids. Despite of the seriousness of blackout, however, there are scarce studies with ex-ante analysis of the economic costs from blackout. In order to evocate the seriousness, we calculate the economic costs for both industrial and household sectors with using some survey data and statistical methodologies. As a result, total economic costs are 39.23 trillion KRW (35.83 trillion KRW for industrial sector, 3.40 trillion KRW for household sector).

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“…Detailed discussion of advantages and disadvantages of these approaches in general and related to specific types of simulation studies is provided in many past papers including [3,4,[15][16][17][18][19]. Similarly, a number of approaches have been proposed to assess single-site indices, including fault positions-based stochastic method [20][21][22][23][24], critical distances [22,23] and Monte Carlo (MC)-based stochastic approaches [15,16,20,25]. A stochastic assessment of voltage sags is used in [26] to get the expected number and characteristics of sags using deterministic short circuit simulations and the stochastic data of the faults.…”

mentioning

confidence: 99%

Identification of Weak Areas of Network Based on Exposure to Voltage Sags—Part II: Assessment of Network Performance Using Sag Severity Index

Liao

Abdel-Rahman

Guo

et al. 2015

IEEE Trans. Power Delivery

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Abstract--This paper presents a new stochastic approach to comprehensive assessment of the impact of voltage sags in large scale power networks. The approach takes into account the stochastic nature of power system operation including load variation, uncertainty of fault clearing time by protection relays, fault rates of network components and the variation/uncertainty in equipment sensitivity to voltage sags. A new duration zone division method is used to derive sag duration and occurrence frequency based on stochastic distribution of clearing time required by specific protection systems. The adopted probabilistic representation facilitates estimation of network performance based on a single-event characteristic, sag severity index (SSI), developed in the companion paper (Part I). Based on SSI, a new single-site index with respect to voltage sags (Bus Performance Index, BPI S ) is developed to comprehensively represent the overall bus performance with respect to voltage sags. The index is used to identify the areas of the network, named weak areas of the network in this paper, containing buses that are most exposed to potentially disruptive voltage sags. The application, robustness and sensitivity of BPI S are thoroughly analysed and discussed in the paper.Index Terms-Voltage sags, equipment susceptibility, voltage tolerance curves, sag severity index. I. INTRODUCTIONoltage sags cause frequent disruptions to modern industrial processes and malfunction of electronic equipment, resulting in substantial financial losses [1]. This issue, as one of the most critical power quality problems, has become a major focal point for many utilities and industries [2]. To reduce overall financial consequences of voltage sags, it is necessary to assess voltage sag performance of network buses as accurately as possible and consequently to identify the buses that are most affected by voltage sags. Assessing voltage sag performance at certain location requires two steps: calculating single-event characteristic for each sag event; and then calculating single-site indices based on the single-event characteristics of all sag events occurring at the location [3]. Various single-site indices have been proposed in literature to assess voltage sag performance. Sag severity at certain location can be presented through probability density and distribution functions [3]. Furthermore, the sag information can be compressed into a sag table which groups the sags based on the interval of residual voltage and duration [4][5][6][7][8][9], or by using modified reliability based SAIFI index [10][11][12]. These single-site indices simply give the number of events per year within a certain range of magnitude and duration, resulting in discrete representation of sag characteristics. The aforementioned indices are not suitable for comparing the actual voltage sag performance of different buses as they typically do not include multiple sag characteristics at the same time nor, and more importantly, sensitivity of equipment connected at these buses to vo...

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A Method for Estimating the Frequency and Cost of Voltage Sags

Cited by 8 publications

References 0 publications

Macroeconomic Assessment of Voltage Sags

Macroeconomic Assessment of Voltage Sags

Ex-ante Evaluation of Economic Costs from Power Grid Blackout in South Korea

Identification of Weak Areas of Network Based on Exposure to Voltage Sags—Part II: Assessment of Network Performance Using Sag Severity Index

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