Probabilistic Indicators for the Assessment of Reliability and Security of Future Power Systems

Book chapter (2018)

Authors

B.W. Tuinema Intelligent Electrical Power Grids - EEMCS
Nikoleta Kandalepa TenneT TSO B.V.
Jose Luis Rueda Rueda Intelligent Electrical Power Grids - EEMCS
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

To prevent large blackouts, reliability analysis and reliability management are of the utmost importance. While deterministic approaches and criteria have been used effectively in the past, probabilistic methods will be increasingly applied in the future as these provide more insight into the reliability of the transmission network. This chapter describes how probabilistic reliability analysis is used to study the reliability of large transmission networks. The following are two methods for reliability analysis: state enumeration and Monte Carlo simulation. The chapter introduces the concept of time horizons in the planning and operation of a power system. Several reliability indicators are commonly used in probabilistic reliability analysis. The chapter discusses these indicators. These reliability indicators can be directly related to security‐of‐supply, but can also be additional reliability indicators. The chapter describes a case study of the Dutch transmission network.

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