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Transmission Expansion Planning Model Considering Battery Energy Storage, TCSC and Lines Using AC OPF


Zora Luburić

Hrvoje Pandžić

Miguel Carrión
Flexibility has become a requirement for modern power systems dominated by renewable generation sources. It can be extracted from different assets, ranging from demand response to fast generating units. This paper proposes an investment model that finds an optimal mix of transmission-level non-generation flexible assets: battery energy storage (BES), thyristor-controlled series compensators (TCSC), and transmission lines. The role of BES is to offset renewable generation in time, but its power converter is additionally utilized to provide voltage regulation by injecting/withdrawing reactive power. TCSC is used to alter power flows and increase existing lines' capacity, while new power lines are used to increase bulk power transfer. The proposed planning model uses a linearized AC OPF and employs Benders' decomposition to develop an iterative procedure for obtaining the optimal solution. The presented case study illustrates usefulness of the model for different BES costs and investment policies.
- University of Rijeka, Faculty of Physics Croatia
- University of Zagreb Croatia
- University of Castile-La Mancha Spain
Benders' decomposition, Battery energy storage, transmission planning, TK1-9971, battery energy storage, TCSC, Benders’ decomposition, FACTS devices, Electrical engineering. Electronics. Nuclear engineering
Benders' decomposition, Battery energy storage, transmission planning, TK1-9971, battery energy storage, TCSC, Benders’ decomposition, FACTS devices, Electrical engineering. Electronics. Nuclear engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 37 download downloads 39 - 37views39downloads
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