Chance-constrained programming approach to stochastic congestion management considering system uncertainties

Considering system uncertainties in developing power system algorithms such as congestion management (CM) are a vital issue in power system analysis and studies. This study proposes a new model for network CM based on chance-constrained programming (CCP), accounting for the power system uncertaintie...

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Vydáno v:	IET generation, transmission & distribution Ročník 9; číslo 12; s. 1421 - 1429
Hlavní autoři:	Hojjat, Mehrdad, Javidi, Mohammad Hossein
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 04.09.2015
Témata:	CCP chance‐constrained models chance‐constrained programming approach Congestion equivalent easy‐to‐solve deterministic problem IEEE 30‐bus test system Management Mathematical analysis network CM Networks Optimization power system algorithms power system analysis power system management power system uncertainty Programming stochastic CM stochastic congestion management stochastic optimisation problem stochastic programming Stochasticity transmission constraints Uncertainty network CM IEEE 30-bus test system power system analysis stochastic programming stochastic optimisation problem power system management chance-constrained models power system uncertainty stochastic congestion management CCP equivalent easy-to-solve deterministic problem power system algorithms transmission constraints chance-constrained programming approach stochastic CM
ISSN:	1751-8687, 1751-8695
On-line přístup:	Získat plný text
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