Optimal economic–emission power scheduling of RERs in MGs with uncertainty

This study proposes a framework for economic–emission dispatch problem (EEDP) in microgrids (MGs). The problem of EEDP aims at finding the optimal scheduling of renewable energy resources (RERs) in isolated and grid-connected MGs. The EEDP is formulated as a non-linear constrained multi-objective op...

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Vydáno v:	IET generation, transmission & distribution Ročník 14; číslo 1; s. 37 - 52
Hlavní autoři:	Elsakaan, Asmaa A, El-Sehiemy, Ragab A, Kaddah, Sahar S, Elsaid, Mohammed I
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 01.01.2020
Témata:	distributed power generation economic–emission dispatch problem EEDP enhanced moth‐flame optimisation algorithm environmental benefits flexible scheduling generation costs isolated grid‐connected MGs load dispatching minimise emission issues minimising emission multiobjective function multiobjective optimisation problem nonlinear notable economic benefits optimal economic–emission power scheduling optimal scheduling optimisation power demand power distribution economics power generation dispatch power generation economics renewable energy resources renewable energy sources RERs Research Article scheduling scheduling procedure unexpected increase multiobjective optimisation problem minimise emission issues distributed power generation load dispatching EEDP isolated grid-connected MGs nonlinear power generation economics optimisation generation costs scheduling economic–emission dispatch problem optimal scheduling renewable energy sources multiobjective function minimising emission power distribution economics renewable energy resources power generation dispatch flexible scheduling optimal economic–emission power scheduling RERs unexpected increase scheduling procedure environmental benefits enhanced moth-flame optimisation algorithm power demand notable economic benefits
ISSN:	1751-8687, 1751-8695
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