Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

This paper proposes an approximate dynamic programming (ADP)-based approach for the economic dispatch (ED) of microgrid with distributed generations. The time-variant renewable generation, electricity price, and the power demand are considered as stochastic variables in this paper. An ADP based ED (...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 10; H. 3; S. 2440 - 2452
Hauptverfasser:	Shuai, Hang, Fang, Jiakun, Ai, Xiaomeng, Tang, Yufei, Wen, Jinyu, He, Haibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.05.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms approximate dynamic programming (ADP) Batteries Computer simulation Distributed generation Dynamic programming economic dispatch (ED) Economics Electricity consumption Electricity pricing Energy management Error reduction Generators Linear functions Microgrid Microgrids Monte Carlo simulation Optimization Power dispatch Prediction algorithms stochastic optimization Uncertainty
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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