Determining reserve requirements in DK1 area of Nord Pool using a probabilistic approach

Saez-Gallego, Javier; Morales, Juan M.; Madsen, Henrik; Jónsson, Tryggvi

doi:10.1016/j.energy.2014.07.034

Cited by 17 publications

(14 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methods that derive reserve levels from probabilistic forecasts present results using both security and economic metrics. Economic metrics are required to compute the cost-optimal reserve schedule, as demonstrated by [25].…”

Section: Discussionmentioning

confidence: 99%

“…The approach described in [25] addresses the problem of capturing the actual uncertainty of wind and load forecasts with a scenario forecasting approach. Wind power and load scenario forecasts are produced together to capture the correlation between the two and included a model of plant failure based on the frequency of historic failures as a proportion load.…”

Section: B Scenariosmentioning

confidence: 99%

See 1 more Smart Citation

A Review of probabilistic methods for defining reserve requirements

Dowell

Hawker

Bell

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

View full text Add to dashboard Cite

In this paper we examine potential improvements in how load and generation forecast uncertainty is captured when setting reserve levels in power systems with significant renewable generation penetration and discuss the merit of proposed new methods in this area. One important difference between methods is whether reserves are defined based on the marginal distribution of forecast errors, as calculated from historic data, or whether the conditional distribution, specific to the time at which reserves are being scheduled, is used. This paper is a review of published current practice in markets which are at the leading edge of this problem, summarizing their experiences, and aligning it with academic modeling work. We conclude that the ultimate goal for all markets expected to manage high levels of renewable generation should be a reserve setting mechanism which utilizes the best understanding of meteorological uncertainties combined with traditional models of uncertainty arising from forced outages.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: B Scenariosmentioning

confidence: 99%

A Review of probabilistic methods for defining reserve requirements

Dowell

Hawker

Bell

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

View full text Add to dashboard Cite

show abstract

“…Deterministic method [5]. Probabilistic method [7]. Combined deterministic-probabilistic method [11].…”

Section: Reserve Determination Methodsmentioning

confidence: 99%

“…The probabilistic approach is also used in Ref. [7] to determine the reserve requirements in Denmark. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Area equivalents for spinning reserve determination in interconnected power systems

Shayesteh

Amelin

Söder

2015

Energy

View full text Add to dashboard Cite

“…In addition to the uncertainties caused by generation outage, many investigations have considered uncertainties in wind power forecasting for power systems with a large portion of wind power generation [12][13][14][15][16]. If there is high penetration of wind generation in a power system, the forecasting error cannot be ignored regarding the uncertainties in the supply of power.…”

Section: Introductionmentioning

confidence: 99%

Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand

et al. 2016

View full text Add to dashboard Cite

Abstract:The use of appropriate hourly reserve margins can maintain power system security by balancing supply and demand in the presence of errors in the forecast demand, generation outages, or errors in the forecast of wind power generation. Because the cost of unit commitment increases with larger reserve margins, cost analysis to determine the most economical reserve margin is an important issue in power system operation. Here, we define the "short-term reliability of balance" and describe a method to determine the reserve margin based on the short-term reliability of balance. We describe a case study, in which we calculate the reserve margin using this method with various standards of short-term reliability of balance. A cost analysis is then performed to determine the most economic standard, and a comparison between our method and a conventional method is carried out. The results show that our method with an economic short-term reliability of balance enables more reliable and efficient operation of the power system. Moreover, with an hourly reserve margin, we show that an increase in wind power generation can result in a significant decrease in the operating cost, which makes wind power generation economically viable.

show abstract

Determining reserve requirements in DK1 area of Nord Pool using a probabilistic approach

Cited by 17 publications

References 14 publications

A Review of probabilistic methods for defining reserve requirements

A Review of probabilistic methods for defining reserve requirements

Area equivalents for spinning reserve determination in interconnected power systems

Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand

Contact Info

Product

Resources

About