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.

Highlights

  • Distributed generations (DGs) are rapidly increasing, which are renewable energy sources such as wind and solar power generations and cogenerations [1,2]

  • A coordinated voltage control method is proposed that reflects the contribution of OLTC and DGs in the distribution systems [22]

  • The proposed method was used to derive the control reference using the objective function derived from a simplified linear equation

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Summary

Introduction

Distributed generations (DGs) are rapidly increasing, which are renewable energy sources such as wind and solar power generations and cogenerations [1,2]. Fuzzy logic-based OLTC control is proposed for distribution systems with many DGs [12]. In [15], the power factor control of DGs considering the response delay of the shunt capacitor and OLTC are used to control the voltage of distribution systems. The first step determines the required reactive power of interconnected DGs to control the violated bus voltage. The segment-controller control method to control OLTC is proposed by measuring the local load and voltage in the distribution systems with. A coordinated voltage control method is proposed that reflects the contribution of OLTC and DGs in the distribution systems [22]. The study uses intelligent technologies that include genetic algorithms (GA), Tabu search, and artificial neural networks (ANN), and fuzzy logic, to address voltage control problems. The results of global solution and results of the proposed method are compared through MATLAB simulation

Voltage Equation Expressed as Simplified Linear Equation
Simplified Linear Equation
Formulation of Objective Function for Optimization
Quadratic Programming Formulation
Generalization of Objective Function
Generalization of Inequality Constraints
Approximation Method of MIQP
Simulation of Case Study 1
Voltage Control for CVR
Voltage control for nominal voltage
Voltage Control for Nominal Voltage
Simulation Analysis
Conclusions
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