A New Unit Commitment Method of Large-scale Power Systems Based on Scenario Trees-Reference-Cited by-同舟云学术

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A New Unit Commitment Method of Large-scale Power Systems Based on Scenario Trees

Published:2023-03-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Electrical Engineering Congress (iEECON)
language:
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Author:

Chierthaichingpangxao Xengyang¹,Somsai Kittaya¹,Phommixay Sengthavy²

Affiliation:

1. Rajamangala University of Technology,Faculty of Engineering and Technology,Sakon Nakhon,Thailand

2. Namtheun 2 Power Company,Engineering Department,Vientiane,Laos

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10126135/10126143/10126609.pdf?arnumber=10126609

Reference14 articles.

1. Modified Binary Differential Evolution Algorithm to Solve Unit Commitment Problem

2. Solution to unit commitment in power system operation planning using binary coded modified moth flame optimization algorithm (BMMFOA): a flame selection based computational technique;reddy;Journal of Computational Science,2018

3. Binary Grey Wolf Optimizer for large scale unit commitment problem

4. Unit commitment by improved pre-prepared power demand table and Muller method;chandram;International Journal of Electrical Power & Energy Systems,2011

5. A Variable-Dimension Optimization Approach to Unit Commitment Problem

Cited by 1 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. Clustering Based NCUC Transmission Constraints Elimination Method;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

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