Optimal Feeder Reconfiguration and Placement of Voltage Regulators in Electrical Distribution Networks Using a Linear Mathematical Model

Abstract

Power distribution systems face continuous challenges from increased demand and lengthening of feeders, resulting in power loss augmentation and unacceptable voltage drops. Thus, to reduce technical losses and improve the voltage profile, common techniques such as reactive compensation, network reconfiguration, and placing of voltage regulators are employed. Distribution network reconfiguration (DNR) consists of modifying the system topology with the aim of minimizing power losses, enhancing voltage profile, and improving network reliability. Optimal placement of voltage regulators (OPVRs) improves the voltage profile and helps to reduce power losses. DNR and OPVRs are challenging optimization problems involving both integer and continuous decision variables. In this paper, a mixed-integer linear programming (MILP) model is presented to simultaneously solve the problems of DNR and OPVRs in radial distribution networks. The combined optimal DNR and OPVRs aim at both the minimization of power losses and the improvement of the voltage profile. This approach has not been reported in the specialized literature. The proposed MILP model may be solved through commercially available software, obtaining global optimal solutions with lower computational effort than metaheuristic techniques applied for the same purpose. Several tests were conducted on three benchmark distribution test systems to demonstrate the efficacy and applicability of the proposed approach.

Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA

“…The distribution network operators must satisfy the topological constraint condition as shown in Equation (11), a constraint which only applies to the DNR problem:…”

“…Due to the advancement and widespread adoption of remotely operable switches and distributed power sources, the use of electric energy has become increasingly diverse and uncertain, and the operating state of the distribution network has become complex [1][2][3]. How to determine the optimal location for integrating distributed generation into a distribution network [4][5][6] and how to reasonably control the opening and closing states of distribution network switches and combine various operating indicators [7,8], in order to make the operating state of the distribution network tend toward ideality, are crucial questions in current research [9][10][11] which are, respectively, referred to as distributed generation placement (DGP) and distribution network reconfiguration (DNR).…”

A MILP Model for Optimal Conductor Selection and Capacitor Banks Placement in Primary Distribution Systems

“…Once the power flow is solved, the final values of currents and voltages are available by computing the square roots of the obtained variables. Furthermore, the mathematical models corresponding to the power flow and OPCB are based on previous research works carried out by the authors in [66,71,72].…”

Metaheuristic‐based graded objective function strategy for optimal thyristor‐controlled series capacitors estimation in weak distribution systems with uncertain distributed generation

“…As these systems become increasingly complex, it becomes imperative to enhance their performance through various means. These include the incorporation of shunt capacitors [1], network reconfiguration [2], integration of distributed generation from renewable energy sources [3], and the implementation of voltage regulators [4].…”