Distributed Reinforcement Learning Algorithm for Dynamic Economic Dispatch With Unknown Generation Cost Functions

In this article, the dynamic economic dispatch (DED) problem for smart grid is solved under the assumption that no knowledge of the mathematical formulation of the actual generation cost functions is available. The objective of the DED problem is to find the optimal power output of each unit at each...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 16; H. 4; S. 2258 - 2267
Hauptverfasser:	Dai, Pengcheng, Yu, Wenwu, Wen, Guanghui, Baldi, Simone
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation algorithms Cost function Distributed reinforcement learning dynamic economic dispatch (DED) Economics Heuristic algorithms Machine learning Mathematical analysis multiplier splitting Optimization Power dispatch Reinforcement learning Smart grid Smart grids state-action-value function approximation
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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