Solution of reactive power optimisation including interval uncertainty using genetic algorithm-Reference-Cited by-同舟云学术

Solution of reactive power optimisation including interval uncertainty using genetic algorithm

Published:2017-05-22 Issue:15 Volume:11 Page:3657-3664
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Zhang Cong¹,Chen Haoyong¹,Ngan Honwing²,Liang Zipeng¹,Guo Manlan¹,Hua Dong¹

Affiliation:

1. School of Electrical EngineeringSouth China University of TechnologyGuangzhouPeople's Republic of China

2. Department of Electric EngineeringThe Hong Kong Polytechnic University, WanchaiHong KongPeople's Republic of China

Funder

National Key Research and Development Program of China

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.2016.1195

Reference28 articles.

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2. Optimal reactive dispatch through interior point methods

3. Optimal Power Flow Solutions

4. Stott B. Alsac O.: ‘Experience with successive linear programming for optimal rescheduling of active and reactive power’.Proc. CIGRE‐IFAC Symp. Control Applications for Power System Security Florence Sept.1983 p.104–01

5. Quadratically Convergent Optimal Power Flow

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