Enhancing Distribution Networks with Optimal BESS Sitting and Operation: A Weekly Horizon Optimization Approach

Diego Jose da Silva, Edmarcio Antonio Belati and Jesús M. López-Lezama ()
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Diego Jose da Silva: Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Edmarcio Antonio Belati: Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Jesús M. López-Lezama: Research Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 56-108, Medellin 050010, Colombia

Sustainability, 2024, vol. 16, issue 17, 1-15

Abstract: The optimal sitting and operation of Battery Energy Storage Systems (BESS) plays a key role in energy transition and sustainability. This paper presents an optimization framework based on a Multi-period Optimal Power Flow (MOPF) for the optimal sitting and operation of BESS alongside PV in active distribution grids. The model was implemented in AMPL (A Mathematical Programming Language) and solved using the Knitro solver to minimize power losses over one week, divided into hourly intervals. To demonstrate the applicability of the proposed model, various analyses were conducted on a benchmark 33-bus distribution network considering 1, 2 and 3 BESS. Along with the reduction in power losses of up to 17.95%, 26% and 29%, respectively. In all cases, there was an improvement in the voltage profile and a more uniform generation curve at the substation. An additional study showed that operating over a one-week horizon results in an energy gain of 1.08 MWh per day compared to single daily operations. The findings suggest that the proposed model for optimal sitting and operation of BESS in the presence of Renewable Energy Sources (RES) applies to real-world scenarios.

Keywords: energy storage; distribution planning; photovoltaic energy; power systems; losses; optimization methods (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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