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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2010 / Cilt: 10 - Sayı: 1

Economic dispatch by using different crossover operators of genetic algorithm

Salih TOSUN
Serhat DUMAN
M. Kenan DÖŞOĞLU
Ali ÖZTÜRK
Pages
1173–1183
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

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

In this study, the conclusions obtained on conditions with line loss and without line loss of 3 and 6 switchboards with thermal fuel were compared with each other by using different crossover operators of genetic algorithm (GA).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The great advances in technology and industry have brought about an increase in the demand for energy in electrical power systems.
📊
Key Findings & Data:In order to meet this increased demand, planning the operation of power systems and optimum operation of those systems are required.
💡
Conclusion & Impact:In this study, the conclusions obtained on conditions with line loss and without line loss of 3 and 6 switchboards with thermal fuel were compared with each other by using different crossover operators of genetic algorithm (GA).
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The great advances in technology and industry have brought about an increase in the demand for energy in electrical power systems. In order to meet this increased demand, planning the operation of power systems and optimum operation of those systems are required. To obtain it, optimal power flow, reactive power optimization and solutions of the economic dispatch problem are required. The problem of Economical Dispatch (ED) is one of the limited non-linear optimization problems of electrical power systems. Operation of generators with minimum cost by being held in certain limit values is required. Intuitional methods resulting in better conclusions have been used in solving this complicated non-linear problem so far. In this study, the conclusions obtained on conditions with line loss and without line loss of 3 and 6 switchboards with thermal fuel were compared with each other by using different crossover operators of genetic algorithm (GA).

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Cite This Article

TOSUN, S., DUMAN, S., DÖŞOĞLU, M. K., ÖZTÜRK, A. (2022). Economic dispatch by using different crossover operators of genetic algorithm. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 10 - Sayı: 1, 1173–1183. https://ajindex.com/articles/543707

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