Modified bio‐inspired optimisation algorithm with a centroid decision making approach for solving a multi‐objective optimal power flow problem-Reference-Cited by-同舟云学术

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Modified bio‐inspired optimisation algorithm with a centroid decision making approach for solving a multi‐objective optimal power flow problem

Published:2017-03 Issue:4 Volume:11 Page:1012-1022
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Barocio Emilio¹,Regalado Jose¹,Cuevas Erick²,Uribe Felipe¹,Zúñiga Pavel¹,Torres Pedro J. Ramirez³

Affiliation:

1. Graduated Program in Electrical EngineeringUniversidad de GuadalajaraAv. Revolución #1500GuadalajaraMexico

2. Department of Computational ScienceUniversidad de GuadalajaraAv. Revolución #1500GuadalajaraMexico

3. Department of Electrical and Electronic EngineeringImperial College LondonLondonUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2016.1135

Reference31 articles.

1. Applications of computational intelligence techniques for solving the revived optimal power flow problem

2. Multiobjective optimal generation dispatch based on probability security criteria

3. Multiobjective optimal power flows to evaluate voltage security costs in power networks

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