Next Article in Journal
Impacts of Increasing Private Charging Piles on Electric Vehicles’ Charging Profiles: A Case Study in Hefei City, China
Previous Article in Journal
State and Space Vectors of the 5-Phase 2-Level VSI
 
 
Article

Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS)

1
Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 11021, Colombia
2
Laboratorio Inteligente de Energía, Universidad Tecnológica de Bolívar, Cartagena 131001, Colombia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(17), 4386; https://doi.org/10.3390/en13174386
Received: 23 July 2020 / Revised: 15 August 2020 / Accepted: 20 August 2020 / Published: 25 August 2020
(This article belongs to the Section A1: Smart Grids and Microgrids)
This article assesses the costs and benefits of incorporating battery energy storage systems (BESS) in transmission network expansion planning (TEP) over multiple time periods. We propose a mixed-integer programming model (MIP) for joint planning of the installation of battery energy storage systems (BESS) and construction of new transmission lines in multiple periods of time. The mathematical formulation of the presented model is based on the strategies of the agents of a transmission network to maximize their benefit, and on the operational restrictions of the power flows in transmission networks. This analysis is performed for the Garver 6 node test system takes into account the power losses in the lines and the restrictions for the energy stored in BESS. The power flows obtained with the MIP model are compared with AC power flows generated with specialized software for flows in power systems. This allows us to demonstrate the potential of models based on DC power flows to achieve approximate results applicable to the behavior and characteristics of real transmission networks. The results show that the BESS increase the net profit in the transmission networks and reduce their power losses. View Full-Text
Keywords: mixed-integer linear programming; transmission expansion planning; battery energy storage systems mixed-integer linear programming; transmission expansion planning; battery energy storage systems
Show Figures

Figure 1

MDPI and ACS Style

Mora, C.A.; Montoya, O.D.; Trujillo, E.R. Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS). Energies 2020, 13, 4386. https://doi.org/10.3390/en13174386

AMA Style

Mora CA, Montoya OD, Trujillo ER. Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS). Energies. 2020; 13(17):4386. https://doi.org/10.3390/en13174386

Chicago/Turabian Style

Mora, Camilo Andres, Oscar Danilo Montoya, and Edwin Rivas Trujillo. 2020. "Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS)" Energies 13, no. 17: 4386. https://doi.org/10.3390/en13174386

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop