Active Distribution Network Voltage Profile Optimization Using Mixed Integer Linear Programming

Abstract

The quality of electrical energy delivered to the customers greatly depends on the voltage deviation. To avoid negative effects on equipment belonging to the distribution system operator or final customer, legal regulations and recommendations in different countries are enforced to ensure that the voltage level does not deviate from the prescribed tolerances. The operation of different voltage control devices is coordinated in such a way that the voltage delivered to medium/low voltage customers remains within the required limits, despite changes in voltage drop due to load variations, distributed generation (DG) production variations, and changes in network configuration. This paper presents a mixed-integer linear programming method for voltage profile optimization in active distribution networks through optimization of on/off load tap changers and DG reactive power support. The effectiveness of the proposed method in relation to other Volt-Var methods is tested on a benchmark network. The numerical results show advantages of the proposed approach which are manifested through voltage profile normalization and deviation reduction.

Publication
2022 International Conference on Smart Systems and Technologies (SST)
Damir Jakus
Damir Jakus
Full Professor | Department of Power Grids and Substations

Researcher and a full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split. His research interests include power system optimization and planning, RES integration, electricity market modeling.

Joško Novaković
Joško Novaković
Assistant | Researcher | Department of Power Grids and Substations
Josip Vasilj
Josip Vasilj
Associate Professor | Department of Power Grids and Substations

Researcher and Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, where he teaches courses related to engineering economics, power system analysis, power grids and machine learning. His research focus is the application of advanced numerical methods to problems in the analysis and planning of power system operations.

Danijel Jolevski
Danijel Jolevski
Associate Professor | Department of Electrical Drives and Industrial Control