Voltage and Reactive Power Optimization Using a Simplified Linear Equations at Distribution Networks with DG

Seok-Il Go, Sang-Yun Yun, Seon-Ju Ahn and Joon-Ho Choi
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Seok-Il Go: Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea
Sang-Yun Yun: Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea
Seon-Ju Ahn: Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea
Joon-Ho Choi: Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Korea

Energies, 2020, vol. 13, issue 13, 1-23

Abstract: In this paper, the VVO (Volt/Var optimization) is proposed using simplified linear equations. For fast computation, the characteristics of voltage control devices in a distribution system are expressed as a simplified linear equation. The voltage control devices are classified according to the characteristics of voltage control and represented as the simplified linear equation. The estimated voltage of distribution networks is represented by the sum of the simplified linear equations for the voltage control devices using the superposition principle. The voltage variation by the reactive power of distributed generations (DGs) can be expressed as the matrix of reactance. The voltage variation of tap changing devices can be linearized into the control area factor. The voltage variation by capacitor banks can also be expressed as the matrix of reactance. The voltage equations expressed as simplified linear equations are formulated by quadratic programming (QP). The variables of voltage control devices are defined, and the objective function is formulated as the QP form. The constraints are set using operating voltage range of distribution networks and the control ranges of each voltage control device. In order to derive the optimal solution, mixed-integer quadratic programming (MIQP), which is a type of mixed-integer nonlinear programming (MINLP), is used. The optimal results and proposed method results are compared by using MATLAB simulation and are confirmed to be close to the optimal solution.

Keywords: Volt/Var optimization; distributed generation; OLTC (On Load Tap Changer); mixed-integer nonlinear programming; quadratic programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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