İç Nokta Optimizasyon Yöntemiyle Optimum Güç Akışı

Year 2022, Volume: 02 Issue: 02, 131 - 138, 31.12.2022

Yunus Yalman Özgür Çelik Adnan Tan Kamil Çağatay Bayındır

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. 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.

Keywords

optimum power flow, optimization methods, interior point method, power system network

Supporting Institution

Tübitak

Project Number

BIDEB-2214-A

Optimum Power Flow by Using Interior Point Optimization 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.

Keywords

optimum power flow, optimization methods, interior point method, power system network

Project Number

BIDEB-2214-A

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