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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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 14; no. 1; pp. 37 - 52
Main Authors: Elsakaan, Asmaa A, El-Sehiemy, Ragab A, Kaddah, Sahar S, Elsaid, Mohammed I
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.01.2020
Subjects:
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
Online Access:Get full text
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Summary: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 optimisation problem. It minimises the total cost and emission simultaneously. Simulation results in nine different cases are conducted to emulate the complexity of the EEDP. Also, the proposed scheduling procedure is tested under abnormal operation of MGs considering unexpected increase in power demand, shortage of battery storage and partial shedding of photovoltaic units. These cases reveal the capability of the proposed method. A multi-objective function is employed to increase the economic benefits and minimise emission issues. In this line, the simulation results are obtained using an enhanced moth-flame optimisation (EMFO) algorithm. The obtained results verified the effectiveness, robustness and global convergence for minimising emission and generation costs. These results are compared with several well-known techniques in the literature. Notable economic and environmental benefits are achieved using the EMFO that lead to flexible scheduling of RERs for MG operation under uncertainty.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2019.0739