Minimum emissions optimal power flow in wind-thermal power system using Opposition based Bacterial Dynamics algorithm-Reference-Cited by-同舟云学术

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Minimum emissions optimal power flow in wind-thermal power system using Opposition based Bacterial Dynamics algorithm

Published:2016-07 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Power and Energy Society General Meeting (PESGM)
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Author:

Reddy S. Surender,Momoh James A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7593872/7741056/07741635.pdf?arnumber=7741635

Cited by 5 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. Hybrid team game algorithm for dynamic economic-emission electric power generation scheduling;International Journal of Ambient Energy;2024-04-03

2. A Hybrid Genetic Algorithm for Optimal Active Power Curtailment Considering Renewable Energy Generation;Computational Science and Its Applications – ICCSA 2023 Workshops;2023

3. Wind integrated optimal power flow considering power losses, voltage deviation, and emission using equilibrium optimization algorithm;Energy, Ecology and Environment;2022-05-04

4. A robust decision framework for strategic behaviour of integrated energy service provider with embedded natural gas and power systems in day‐ahead wholesale market;IET Generation, Transmission & Distribution;2021-09-24

5. Optimal power flow using multi-objective glowworm swarm optimization algorithm in a wind energy integrated power system;International Journal of Green Energy;2019-10-16

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