Transmission Expansion Planning Considering Energy Storage

TL;DR

This paper introduces a mixed integer programming model for transmission expansion planning that incorporates energy storage systems, demonstrating how storage placement and capacity depend on cost and demand variability.

Contribution

It extends traditional transmission planning models to include energy storage, optimizing location and capacity considering demand variability and costs.

Findings

Optimal storage placement varies with demand patterns.

Storage capacity is sensitive to cost and demand variability.

Model tested on standard test circuits with different scenarios.

Abstract

In electricity transmission networks, energy storage systems (ESS) provide a means of upgrade deferral by smoothing supply and matching demand. We develop a mixed integer programming (MIP) extension to the transmission network expansion planning (TEP) problem that considers the installation and operation of ESS as well as additional circuits. The model is demonstrated on the well known Garver's 6-bus and IEEE 25-bus test circuits for two 24 hour operating scenarios; a short peak, and a long peak. We show optimal location and capacity of storage is sensitive not only to cost, but also variability of demand in the network.