Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state-space approximate dynamic programming

In the operation of microgrids (MGs), the stochastic production of solar/wind, the discrete variables of photovoltaic (PV) inverter's auxiliary service state and diesel generators’ (DGs’) off–on state generally need to be considered, and a stochastic mixed-integer non-linear non-convex programm...

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Veröffentlicht in:	IET generation, transmission & distribution Jg. 13; H. 15; S. 3409 - 3420
Hauptverfasser:	Lin, Shunjiang, Wang, Yaping, Liu, Mingbo, Fan, Guansheng, Yang, Zhibin, Li, Qifeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 06.08.2019
Schlagworte:	battery storage plants concave programming convex programming diesel generators diesel‐electric power stations distributed power generation hybrid power systems integer programming Markov decision process Markov processes mixed‐integer nonlinear nonconvex programming nonlinear programming photovoltaic inverter photovoltaic power systems power generation dispatch PV inverter PV/wind/diesel/battery microgrids Research Article state‐space approximate dynamic programming algorithm stochastic MINNP model stochastic MISOCP model stochastic mixed‐integer second‐order cone programming model stochastic optimal dispatch wind power plants PV/wind/diesel/battery microgrids integer programming nonlinear programming PV inverter photovoltaic power systems convex programming stochastic MINNP model distributed power generation photovoltaic inverter state-space approximate dynamic programming algorithm power generation dispatch stochastic optimal dispatch stochastic MISOCP model diesel generators Markov processes diesel-electric power stations mixed-integer nonlinear nonconvex programming Markov decision process battery storage plants wind power plants stochastic mixed-integer second-order cone programming model concave programming hybrid power systems
ISSN:	1751-8687, 1751-8695
Online-Zugang:	Volltext
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