A MINLP Model to Optimize Battery Placement and Operation in Smart Grids

Author(s)

dos Santos, Caio ; Cavalheiro, Ellen ; Bartmeyer, Petra ; Lyra, Christiano ; IEEE

• Document type: Journal article
• Source: 2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT); v. N/A, p. 5-pg., 2020-01-01.

Abstract

This paper proposes a mixed-integer nonlinear programming model (MINLP) to address the battery energy storage system placement problem (BESP). The solution provides the battery energy storage system (BES) operational policy and a solution for the BESP in order to achieve the reduction of energy losses cost. The model considers AC power flow and voltage magnitude constraints; the battery equations are included into the model in order to provide its daily operation. It also considers a photovoltaic energy plant connected to the distribution feeder. The computational studies evaluate the energy costs and the maximum voltage in each bus of a 34-bus test feeder. The results show that the BES policy can reduce up to 24% of the costs with energy losses depending on the result of BESP; besides, the BES operation allows a reduction in the maximum voltage for all scenarios. (AU)

• FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
• Grantee: João Bosco Ribeiro do Val
• Support Opportunities: Research Projects - Thematic Grants