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Erschienen in: Soft Computing 7/2020

23.07.2019 | Methodologies and Application

Dynamic economic dispatch incorporating renewable energy sources and pumped hydroenergy storage

verfasst von: Mousumi Basu

Erschienen in: Soft Computing | Ausgabe 7/2020

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Abstract

Due to mounting infiltration of solar and wind energy sources, it becomes essential to investigate its brunt on the dynamic economic dispatch. Here, solar–wind–thermal system integrating pumped-storage hydraulic unit has been considered. This work recommends chaotic fast convergence evolutionary programming (CFCEP) rooted in Tent equation for solving dynamic economic dispatch problem incorporating renewable energy sources and pumped-storage hydraulic unit. Chaotic sequences increase the exploitation ability in the searching space and enhance the convergence property. In the recommended technique, chaotic sequences have been pertained for acquiring the dynamic scaling factor setting in fast convergence evolutionary programming (FCEP). The efficiency of the recommended technique is revealed on two test systems. Simulation outcomes of the suggested technique have been matched up to those acquired by FCEP, differential evolution and particle swarm optimization. It has been observed from the comparison that the recommended CFCEP technique has the capability to confer with better quality solution.

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Metadaten
Titel
Dynamic economic dispatch incorporating renewable energy sources and pumped hydroenergy storage
verfasst von
Mousumi Basu
Publikationsdatum
23.07.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 7/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04237-3

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