Probabilistic Multi-Objective Optimal Power Flow: A Grey Wolf Optimizer Approach Considering Load and Wind Turbine Uncertainties-Reference-Cited by-同舟云学术

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Probabilistic Multi-Objective Optimal Power Flow: A Grey Wolf Optimizer Approach Considering Load and Wind Turbine Uncertainties

Published:2024-08-06 Issue: Volume:2 Page:693-699
ISSN:
Container-title:2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
language:
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Author:

Amini Shiva¹,Kamwa Innocent²,Nahvi Shabbo²,Golpîra Hêmin³

Affiliation:

1. Laval University,Department of Electrical and Computer Science Engineering,Quebec,Canada

2. University of Kurdistan,Department of Electrical and Computer Engineering,Sanandaj,Iran

3. University of Kurdistan,Power Systems Modeling & Simulation Lab,Department of Electrical and Computer Engineering,Sanandaj,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10667055/10667056/10667110.pdf?arnumber=10667110

Reference22 articles.

1. Probabilistic power flow analysis considering the dependence between power and heat

2. A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems

3. An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices

4. Stochastic Modeling for Wind Energy and Multi-Objective Optimal Power Flow by Novel Meta-Heuristic Method

5. Optimal Power Flow Solutions for Power System Considering Electric Market and Renewable Energy

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