Stochastic Energy Management of Active Distribution Network Based on Improved Approximate Dynamic Programming

The energy management (EM) of active distribution network (ADN) under uncertainties is a stochastic, nonconvex and nonlinear problem, which cannot be solved by traditional algorithms in acceptable time. In this paper, we decouple this computationally intractable problem into a series of subproblems...

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Veröffentlicht in:	IEEE transactions on smart grid 2022-01, Vol.13 (1), p.406-416
Hauptverfasser:	Zhu, Jianquan, Chen, Jiajun, Zhuo, Yelin, Mo, Xiemin, Guo, Ye, Liu, Linpeng, Liu, Mingbo
Format:	Artikel
Sprache:	eng
Schlagworte:	active distribution network Algorithms Approximation algorithms Basis functions Decision making Dynamic programming Energy distribution Energy management Galerkin method Heuristic algorithms Improved approximate dynamic programming Mathematical model Method of moments Optimization stochastic energy management Stochastic processes System effectiveness
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