Optimizing Distribution Networks for Cost Minimization

DOI

10.2991/978-94-6239-674-6_30How to use a DOI?

Keywords

Distributed Energy Resources; Electric Vehicle Charge Stations; Cross-phase power flow; Power Quality; Voltage Imbalance Factor

Abstract

The objective of this paper is the optimisation of distribution networks to minimise loss and operational cost for DSO. The presence of untransposed lines in unbalanced voltages and currents in distribution networks requires an active strategy against negative impacts. In this paper, we use various compensation methods to address the voltage drop in electrical networks. The techniques involve structural methods like network reconfiguration and phase balancing. Automatic voltage regulation using the shunt device and the series device. Local control strategies making use of distributed energy resources are also applied. A new three-phase optimal power flow (OPF) model is proposed using convex optimisation for heavily meshed networks and three-phase inverters with cross-phase capability. The proposed model minimises total costs with simultaneous voltage and current balancing when distributed energy resources are rapidly installed. The proposed method has been confirmed by computational implementation and testing on IEEE test systems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Aditya S. Mehta
PY  - 2026
DA  - 2026/05/28
TI  - Optimizing Distribution Networks for Cost Minimization
BT  - Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
PB  - Atlantis Press
SP  - 349
EP  - 364
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-674-6_30
DO  - 10.2991/978-94-6239-674-6_30
ID  - Mehta2026
ER  -