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

Author:

da Silva Diego Jose1ORCID,Belati Edmarcio Antonio1ORCID,López-Lezama Jesús M.2ORCID

Affiliation:

1. Center for Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil

2. Research Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 56-108, Medellin 050010, Colombia

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.

Funder

Brazilian National Council for Scientific and Technological Development

Colombian Ministry of Science, Technology, and Innovation “MinCiencias”

CAPES-Brazil

INERGE

Publisher

MDPI AG

Reference38 articles.

1. Silva, D.J., Belati, E.A., and Lopez-Lezama, J.M. (2023, January 22–24). Optimal sitting and Operation of Energy Storage Systems with Photovoltaic Power Generation. Proceedings of the IEEE International Conference on Industry Applications, São Bernardo do Campo, Brazil.

2. Impact Assessment Framework for Grid Integration of Energy Storage Systems and Renewable Energy Sources toward Clean Energy Transition;Angizeh;IEEE Access,2023

3. Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy;Li;J. Mod. Power Syst. Clean Energy,2024

4. Energy Storage in High Variable Renewable Energy Penetration Power Systems: Technologies and Applications;Zhu;CSEE J. Power Energy Syst.,2023

5. Optimal distributed generation planning in active distribution networks considering integration of energy storage;Li;Appl. Energy,2017

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