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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2016 / Cilt: 16 - Sayı: 2

Considering Practical Constraint's Effect in Power Station Problems for Optimizing Power Generation by Comparison NSGA-II and Nested PSO

Murtaza FARSADI
Hadi HOSSEINNEJAD
Tohid Sattarpour DIZAJI
Pages
3017–3023
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The second algorithm which would be tried the results is NSGA-II.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:After solving problems like Unit Commitment and Economic Dispatch, it is important to consider some special constraint which come directly from nature of generators.
📊
Key Findings & Data:These constraints which will mention are some related to temperate limits and other are related to dynamic ofturbines.
💡
Conclusion & Impact:The second algorithm which would be tried the results is NSGA-II.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

After solving problems like Unit Commitment and Economic Dispatch, it is important to consider some special constraint which come directly from nature of generators. These constraints which will mention are some related to temperate limits and other are related to dynamic ofturbines. In this paper after solving the unit commitment problem and economic dispatch simultaneously, the main effect of this constraints and method for skip them will be tried. In the next part the main costfunction will be detailed this kind offunctions on problems which consider two cost fimction instead of one. The main algorithm that would be used in this paper is nested PSO. The nested PSO can optimize two functions which one of them is in the inner layer of other one. The second algorithm which would be tried the results is NSGA-II.

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Cite This Article

FARSADI, M., HOSSEINNEJAD, H., DIZAJI, T. S. (2022). Considering Practical Constraint's Effect in Power Station Problems for Optimizing Power Generation by Comparison NSGA-II and Nested PSO. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 16 - Sayı: 2, 3017–3023. https://ajindex.com/articles/543630

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