Optimal Placement of Smart Hybrid Transformers in Distribution Networks

TL;DR

This paper presents a method to optimally place hybrid transformers in distribution networks to maximize economic benefits by enhancing power export capabilities, using sequential linear programming on extended benchmark networks.

Contribution

It introduces a novel optimization approach for hybrid transformer placement considering nonlinear control characteristics, validated on extended benchmark distribution networks.

Findings

Hybrid transformer installation increases power export income.

Optimal placement yields up to 45.53% profit increase.

Maximum net present value of a36.56 million achieved.

Abstract

Hybrid transformers are a relatively new technology that combine conventional power transformers with power electronics to provide voltage and reactive power control capabilities in distribution networks. This paper proposes a novel method of determining the optimal location and utilisation of hybrid transformers in 3-phase distribution networks to maximise the net present value of hybrid transformers based on their ability to increase the export of power produced by distributed generators over their operational lifespan. This has been accomplished through sequential linear programming, a key feature of which is the consideration of nonlinear characteristics and constraints relating to hybrid transformer power electronics and control capabilities. Test cases were carried out in a modified version of the Cigre European Low Voltage Distribution Network Benchmark, which has been extended by connecting it with two additional low voltage distribution test networks. All test case results demonstrate that the installation and utilisation of hybrid transformers can improve the income earned from exporting excess active power, justifying their installation cost (with the highest net present value being {\pounds}6.56 million, resulting from a 45.53 percent increase in estimated annual profits due to coordinated HT compensation).