Random-Fuzzy Chance-Constrained Programming Optimal Power Flow of Wind Integrated Power Considering Voltage Stability

Considering the random and fuzzy nature of wind speed, this paper proposes a multi-objective random-fuzzy chance-constrained programming optimal power flow (OPF) for wind integrated power systems. The proposed method is based on random-fuzzy chance-constrained programming. The optimization model aim...

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Vydané v:	IEEE access Ročník 8; s. 217957 - 217966
Hlavní autori:	Ma, Rui, Li, Xuan, Gao, Weicheng, Lu, Peng, Wang, Tieqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Carbon dioxide chance-constrained programming Constraints Decision making Flow stability Genetic algorithms Load flow Load modeling Optimal power flow (OPF) Optimization Power flow Power system stability Programming random-fuzzy variable Simulation Sorting algorithms Stability criteria Uncertainty Voltage stability wind power generation Wind speed
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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