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Energy Systems
Erschienen in: Energy Systems 3/2018

21.12.2017 | Original Paper

Hybrid genetic dragonfly algorithm based optimal power flow for computing LMP at DG buses for reliability improvement

verfasst von: Venkataramana Veeramsetty, Chintham Venkaiah, D. M. Vinod Kumar

Erschienen in: Energy Systems | Ausgabe 3/2018

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Abstract

This paper proposes an hybrid method to compute locational marginal price at distributed generation (DG) buses in order to improve reliability in radial distribution system (RDS). This method consists of optimal power flow based on hybrid genetic dragonfly algorithm which provides incentives to each DG unit based on its contribution to reliability improvement. In this paper expected energy not supplied has been used as a reliability measuring index. The proposed method enables the distribution company (DISCO) to operate the network with more reliability by providing proper incentives to DG owners. The proposed method has been implemented on 38 bus RDS and pacific gas and electric company (PG&E) 69 bus RDS under MATLAB environment. It has been observed from the analytical study on both test systems that by providing proper incentives to DG units, reliability of the network can be vastly improved.
Vorheriger Artikel Enhancing operation of decentralized energy systems by a regional economic optimization model DISTRICT
Nächster Artikel The impact of electricity tariffs on residential demand side flexibility: results of bottom-up load profile modeling

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Metadaten
Titel
Hybrid genetic dragonfly algorithm based optimal power flow for computing LMP at DG buses for reliability improvement
verfasst von
Venkataramana Veeramsetty
Chintham Venkaiah
D. M. Vinod Kumar
Publikationsdatum
21.12.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Energy Systems / Ausgabe 3/2018
Print ISSN: 1868-3967
Elektronische ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-017-0268-2

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