Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits

Althaher, Sereen Z., Alnaser, Sahban W., Long, Chao and Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714 2024. Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits. Applied Energy 371 , 123714. 10.1016/j.apenergy.2024.123714

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Abstract

The transition towards Time of Use (ToU) tariffs has become a promising solution for addressing power system challenges resulting from increased installations of renewable energy systems. ToU tariffs encourage residential Battery Energy Storage System (BESS) adoption to reduce customers' bills through maximizing energy storage during low-price intervals (e.g., middle of the day). However, simultaneous BESS charging affects diversity of load, which may lead to the violation of distribution networks constraints. Traditional network management with conservative fixed and static power limits leads to inefficient network capacity use since they do not consider changes in network operating conditions and status of BESS facilities. Specially, these approaches do not allow higher import limits when proportion of BESS facilities are in idling state. To better allocate the capacity of distribution networks to active BESS facilities (charging/discharging), this work introduces an independent storage operator to coordinate BESS control actions by employing time-varying and adaptive power limits. For this purpose, a Mixed Integer Linear Programming (MILP) algorithm is proposed for storage operator to manage BESS facilities while respecting network constraints and customers' desired bills. At each time step, the algorithm decides power limits for active BESS facilities based on predefined linear functions. These functions are generated offline by using Optimal Power Flow (OPF) to establish relationships between power limits and number of active BESS. The application of the algorithm using a real Jordanian distribution network demonstrates its effectiveness to allow a larger number of customers achieving their desired bills compared to using fixed power limits.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0306-2619
Date of First Compliant Deposit:	23 July 2024
Date of Acceptance:	12 June 2024
Last Modified:	23 Jul 2024 09:15
URI:	https://orca.cardiff.ac.uk/id/eprint/170410

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