Browse by author
Lookup NU author(s): Dr Saman Nikkhah, Dr Arman AlahyariORCiD, Dr Adib Allahham
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023 by the authors.The integration of distributed energy resources, such as wind farms (WFs) and energy storage systems (ESSs), into distribution networks can lower the economic cost of power generation. However, it is essential to consider operational constraints, including loading margin, which ensures the security line contingency. This study aims to develop a comprehensive hourly distribution network reconfiguration (HDNR) model to minimize the economic cost for the power generation company. The model considers the optimal allocation of WFs and ESSs in terms of capacity and location, as well as the hourly status of the distribution network switches, based on security constraints. The proposed model is applied to an IEEE 33-bus distribution test system, and the capacities and locations of WFs and ESSs are determined. The impacts of security constraints on the optimal capacities and locations of WFs and ESSs, and the hourly configuration of the distribution network, are analyzed based on two case studies. In Case Study I, the model is solved with HDNR conditions, while Case Study II is solved without these restrictions, for comparison purposes. The results show that the optimal allocation of WFs and ESSs is affected by security constraints when HDNR is considered and highlight the crucial role of security constraints under contingency conditions, such as line outages. In the test system, three WFs and two ESSs are optimally allocated, with changes in capacity and location as the loading margin varies.
Author(s): Nikkhah S, Alahyari A, Allahham A, Alawasa K
Publication type: Article
Publication status: Published
Journal: Energies
Year: 2023
Volume: 16
Issue: 6
Online publication date: 16/03/2023
Acceptance date: 15/03/2023
Date deposited: 13/04/2023
ISSN (electronic): 1996-1073
Publisher: MDPI
URL: https://doi.org/10.3390/en16062780
DOI: 10.3390/en16062780
Altmetrics provided by Altmetric
