Storage allocation and investment optimisation for transmission-constrained networks considering losses and high renewable penetration

Dean Yacar*, Diego A. Tejada-Arango, Sonja Wogrin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This study investigates the effects of transmission losses, constraints and increased renewable energy penetration on planning energy storage allocation and investment. By modifying a DC optimal power flow model using a linearised approximation for ohmic losses, the authors were able to understand which network characteristic or inhibitor drives the most change in expanding utility-scale storage. Four different storage technologies were explored: compressed air energy storage, pumped hydro storage, lithium-ion battery and fly wheel. Each had different charging, capacity and cost characteristics. The results of the storage allocation trials revealed that network congestion was a more influential network inhibitor than were line losses. Losses only had substantial effects on a free-flowing network but produced marginal changes in allocation in congested ones. The conclusion of the investment trials revealed two things: (i) storage investment is not significantly affected by transmission constraints so long as renewable generation stays constant and relatively low; (ii) more flexible technologies like flywheels are favoured at lower volumes of renewable penetration for their load balancing capabilities while cheaper technologies are best as the volume of renewable power generated increases.

Original languageEnglish
Pages (from-to)1949-1956
Number of pages8
JournalIET Renewable Power Generation
Issue number16
Publication statusPublished - 10 Dec 2018
Externally publishedYes

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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