Residential Battery Management Tool (RBMT) [Behind the Meter BESS Management Strategies]

This repository contains a tool of three different power management strategies for domestic residential batteries.

This tool can be used to generate the power dispatch of residential batteries (with any specifications) to minimize the household's electricity bill for any time-series data (single day to multiple years) with any temporal resolution.

The outputs of the RBMT are:

1-The net household demand with and without the battery.
2-Electricity bill with and without the battery or the PV.
3-Battery power dispatch.
4-Battery state of charge.
5-Battery degradation.
6-Household’s voltage.
7-Household’s losses.
8-PV self-consumption
9-Self-sufficiency
10-Exported energy
11-Curtailed energy

This tool was validated and detailed in the following accepted paper, please acknowledge any contributions of the RBMT by citing:

[1]. A. A. R. Mohamed, R. J. Best, X. Liu, and D. J. Morrow, ‘Domestic Battery Power Management Strategies to Maximize the Profitability and Support the Network’, IEEE PES General Meeting, pp.1-5, 2021, accepted to be published.

This code has been developed by Ahmed A.Raouf Mohamed - EPIC Research Cluster, School of Electronics, Electrical Engineering and Computer Science at Queen's University in Belfast, UK. This work is part of SPIRE 2 Project.