Optimization of distributed generation size based on line sensitivity using transmission congestion cost-Reference-Cited by-同舟云学术

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Optimization of distributed generation size based on line sensitivity using transmission congestion cost

Published:2020-11-15 Issue:10 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:

Sharma Vatsala¹,Walde Pratima¹,Saket R.K.²^ORCID,Mekhilef Saad³

Affiliation:

1. School of Electrical, Electronics and Communication Engineering Galgotias University Greater Noida India

2. Department of Electrical Engineering Indian Institute of Technology (BHU) Varanasi Varanasi India

3. Department of Electrical Engineering, Faculty of Engineering University of Malaya Kuala Lumpur Malaysia

Publisher

Hindawi Limited

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12695

Reference47 articles.

1. Electric Power System Planning

2. Congestion management in a zonal market by a neural network approach

3. Operation of Restructured Power Systems

4. Power Systems Restructuring

Cited by 6 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. Optimal Placement of multiple Distributed Generators using a Novel Voltage Stability Indicator employing Arithmetic Optimization Algorithm;Computers and Electrical Engineering;2023-09

2. Multi‐objective Optimization of Optimal Placement and Sizing of Distributed Generators in Distribution Networks;IEEJ Transactions on Electrical and Electronic Engineering;2023-03-05

3. Transmission network congestion control by DESS through interval computation and capacity optimization via hybrid DE‐PSO technique;IET Generation, Transmission & Distribution;2022-08-19

4. A Comparison of Heuristic Optimization Techniques for Optimal Placement and Sizing of DGs in Distribution Network;2022 IEEE Delhi Section Conference (DELCON);2022-02-11

5. Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market;IEEE Access;2022

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