Reliability constrained unit commitment with combined hydro and thermal generation embedded using self-learning group search optimizer

This paper proposes a reliability constrained unit commitment problem with combined hydro and thermal generation embedded (RCHTUC), solved by a SLGSO (self-learning group search optimizer). The RCHTUC problem aims at minimizing the sum of fuel costs and start-up costs of thermal plants subject to va...

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Veröffentlicht in:	Energy (Oxford) 2015-03, Vol.81, p.245-254
Hauptverfasser:	Zheng, J.H., Chen, J.J., Wu, Q.H., Jing, Z.X.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive covariance matrix Constraints Costs Design engineering Group search optimizer Hydrothermal unit commitment Lévy flights Optimization Searching Simulation Spinning reserve Strategy Unit commitment
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