Probabilistic multiobjective reconfiguration considering the optimal location of shunt capacitors and distributed generations in distribution network-Reference-Cited by-同舟云学术

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Probabilistic multiobjective reconfiguration considering the optimal location of shunt capacitors and distributed generations in distribution network

Published:2021-07-12 Issue:9 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Beirami Meysam¹,Naghdalian Salar²,Aliabadi Mahmood Hosseini¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Electrical Engineering Islamic Azad University Central Tehran Branch Tehran Iran

2. Department of Electrical Engineering, Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12979

Reference50 articles.

1. Artificial Immune Systems applied to the reconfiguration of electrical power distribution networks for energy loss minimization

2. Minimal Loss Reconfiguration Using Genetic Algorithms With Restricted Population and Addressed Operators: Real Application

3. An Efficient Codification to Solve Distribution Network Reconfiguration for Loss Reduction Problem

4. Switch and Tap-Changer Reconfiguration of Distribution Networks Using Evolutionary Algorithms

5. Network reconfiguration to enhance reliability of electric distribution systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Steady-state Control Method of Multi-Scale Load Storage Scenario with High Proportion of New Energy Connected to Distribution Network;2023 3rd International Conference on New Energy and Power Engineering (ICNEPE);2023-11-24

2. Distribution network reconfiguration and reactive power compensation using a hybrid Simulated Annealing – Minimum spanning tree algorithm;International Journal of Electrical Power & Energy Systems;2023-05

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