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Journals / Researcher / 2022 / Cilt: 02 - Sayı: 02

Optimum Power Flow by Using Interior Point Optimization Method

İç Nokta Optimizasyon Yöntemiyle Optimum Güç Akışı

Yunus YALMAN
Özgür ÇELİK
Adnan TAN
Kamil Çağatay BAYINDIR
Journal
Researcher
Pages
131–138
Publication Date
2022-12-31
DOI
—
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AI Summary & Key Takeaways

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

The results indicate that the total losses of the power system are reduced from 13.39 MW to 2.31 MW with the proposed algorithm.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The electric power industry is mainly responsible to ensure the high-quality, reliable, and economical operation of power systems by defining the limits and constraints of power system equipment.
📊
Key Findings & Data:The interior-point method has been analyzed on a standard IEEE-14 bus test system using the optimum power flow/unit commitment tools of DIgSILENT/Powerfactory.
💡
Conclusion & Impact:The results indicate that the total losses of the power system are reduced from 13.39 MW to 2.31 MW with the proposed algorithm.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:optimum power flow · optimization methods · interior point method

Abstract

The electric power industry is mainly responsible to ensure the high-quality, reliable, and economical operation of power systems by defining the limits and constraints of power system equipment. An optimization method named optimum power flow (OPF) can be used to determine the power system equipment limits and constraints. This paper uses the interior-point method to solve the nonlinear OPF problem. This method adjusts optimum values of OPF control variables, including the generator's active and reactive power output, with the objective function of minimizing total system losses. The interior-point method has been analyzed on a standard IEEE-14 bus test system using the optimum power flow/unit commitment tools of DIgSILENT/Powerfactory. The analyses are conducted for alternating current (AC) power flow analysis and optimum power flow analysis, which represent Case 1 and Case 2, respectively. The results indicate that the total losses of the power system are reduced from 13.39 MW to 2.31 MW with the proposed algorithm.

Özet

The electric power industry is mainly responsible to ensure the high-quality, reliable, and economical operation of power systems by defining the limits and constraints of power system equipment. This paper uses the interior-point method to solve the nonlinear OPF problem. This method adjusts optimum values of OPF control variables, including the generator's active and reactive power output, with the objective function of minimizing total system losses. The interior-point method has been analyzed on a standard IEEE-14 bus test system using optimum power flow/unit commitment tools of DIgSILENT/Powerfactory. The analyses are conducted for alternating current (AC) power flow analysis and optimum power flow analysis, which represent Case 1 and Case 2, respectively. The results indicate that the total losses of the power system are reduced from 13.39 MW to 2.31 MW with the proposed algorithm.

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Cite This Article

YALMAN, Y., ÇELİK, Ö., TAN, A., BAYINDIR, K. Ç. (2022). Optimum Power Flow by Using Interior Point Optimization Method. Researcher, Cilt: 02 - Sayı: 02, 131–138. https://ajindex.com/articles/870392

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