Reliability-Constrained Power System Expansion Planning: A Stochastic Risk-Averse Optimization Approach

This work presents a methodology to incorporate reliability constraints in the optimal power systems expansion planning problem. Besides Loss Of Load Probability (LOLP) and Expected Power Not Supplied (EPNS), traditionally used in power systems, this work proposes the use of the risk measures VaR (V...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 36; H. 1; S. 97 - 106
Hauptverfasser:	da Costa, Luiz Carlos, Thome, Fernanda Souza, Garcia, Joaquim Dias, Pereira, Mario V. F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Benders decomposition Constraints Dynamic programming Generators Investment Load modeling Mixed Integer Programming Monte Carlo Monte Carlo simulation Optimization Planning Power system reliability Power systems Reliability Reliability analysis Risk Risk measures Stochastic Dual Dynamic Programming Stochastic programming System expansion planning
ISSN:	0885-8950, 1558-0679
Online-Zugang:	Volltext
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