A novel two-stage evolutionary optimization method for multiyear expansion planning of distribution systems in presence of distributed generation-Reference-Cited by-同舟云学术

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A novel two-stage evolutionary optimization method for multiyear expansion planning of distribution systems in presence of distributed generation

Published:2017-03 Issue: Volume:52 Page:1098-1115
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ahmadigorji Masoud,Amjady Nima,Dehghan Shahab^ORCID

Publisher

Elsevier BV

Subject

Software

Reference46 articles.

1. Voltage stability-based DG placement in distribution networks;Ettehadi;IEEE Trans. Power Deliv.,2013

2. Study impact of various load models on DG placement and sizing using backtracking search algorithm;El-Fergany;Appl. Soft Comput.,2015

3. Non-convex emission constrained economic dispatch using a new self-adaptive particle swarm optimization technique;Mandal;Appl. Soft Comput.,2015

4. Techno-economic and environmental modeling and optimization of flexible distributed multi-generation options;Capuder;Energy,2014

5. Krill herd algorithm for optimal location of distributed generator in radial distribution system;Sultana;Appl. Soft Comput.,2016

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1. Distribution network expansion planning: An updated review of current methods and new challenges;Renewable and Sustainable Energy Reviews;2024-01

2. Two new mathematical models for two level electricity network design with distributed generation;TURK J ELECTR ENG CO;2023

3. Distribution Network Expansion Planning Based On Genetic Algorithm using Distributed Generation and Capacitor;2022 IEEE 10th Power India International Conference (PIICON);2022-11-25

4. Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach;International Transactions on Electrical Energy Systems;2022-09-28

5. Fuzzy dynamic parameter adaptation in the bird swarm algorithm for neural network optimization;Soft Computing;2022-01-10

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