Managing short-term reliability related risks

Arce, J.R.; Ilić, Marija; Garcés, F.

doi:10.1109/pess.2001.970079

Cited by 10 publications

(7 citation statements)

References 3 publications

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“…These methods have been summarized in Ref. [7] and are usually based on loss of load probability (LOLP) or expected energy not supplied (EENS) indices. For determining the economic value of reserves in power systems with high shares of non-dispatchable resources, stochastic programming methods can be applied [8].…”

Section: Introductionmentioning

confidence: 99%

Classification and quantification of reserve requirements for balancing

Frunt

Kling

Bosch

2010

Electric Power Systems Research

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Section: Introductionmentioning

confidence: 99%

Classification and quantification of reserve requirements for balancing

Frunt

Kling

Bosch

2010

Electric Power Systems Research

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“…and (3) What are the consequences if it happens? [9]. To quantitatively answer the second and the third question, indicators are used.…”

mentioning

confidence: 99%

Review and classification of reliability indicators for power systems with a high share of renewable energy sources

Heylen

Deconinck

Hertem

2018

Renewable and Sustainable Energy Reviews

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Power systems with a high share of renewable energy sources face new challenges with respect to reliability management. Scientific literature argues that a paradigm shift is needed in terms of reliability management to efficiently integrate a large amount of renewable energy sources and the required flexibility services. Reliability management involves the use of indicators to support system operation and to assess its performance. Many indicators (proposed to be) used in power system reliability management are presented in technical and scientific literature. To coordinate the development, selection and use of indicators in power systems with a high share of renewable energy sources, this paper presents a structured and consistent overview of the characteristics and the scope of indicators currently in use and available in the literature. A transparent way to characterize indicators is proposed. Available indicators are analyzed in terms of the generic properties of an adequate indicator: relevance in the context of evolving reliability management, ease of use, data availability and reliability determined by the data accuracy. Based on this analysis, missing indicators, shortcomings of existing indicators and directions for future work in a practical and scientific context are identified.

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“…In this way, supply and demand for control capacity can be matched. Characterisation of control capacity is also required to enable trade in this commodity [10].…”

Section: Reserve Characteristicsmentioning

confidence: 99%

Classification of reserve capacity in future power systems

Frunt

Kling

Myrzik

2009

2009 6th International Conference on the European Energy Market

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Abstract-In electrical power systems must always be a balance between supply and demand. Any imbalance will result in a frequency deviation. To reduce the imbalance to zero, ancillary services for balancing are in use. Ancillary services are characterised by their deployment time and their capacity. By using Discrete Fourier Transform, the kind of ancillary services as well as the requirements for balance management can be characterised in the frequency domain. Agents, that are responsible for maintaining balance in a network, can use the characterisation in the frequency domain to define their needs for reserve capacity. This paper describes a method for spectral analysis of the required reserve capacity. Based on examples and a model, changes in a future power system are discussed using the frequency domain.

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Managing short-term reliability related risks

Cited by 10 publications

References 3 publications

Classification and quantification of reserve requirements for balancing

Classification and quantification of reserve requirements for balancing

Review and classification of reliability indicators for power systems with a high share of renewable energy sources

Classification of reserve capacity in future power systems

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