Olusegun Adeniji olusegun.a.adeniji@durham.ac.uk
PGR Student Doctor of Philosophy
Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators
Adeniji, Olusegun; Kazemtabrizi, Behzad
Authors
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Abstract
With large-scale acceptance of solar and wind energy generation into electric grids, large energy storage is expected to provide sufficient flexibility for the safe, stable and economic operation of power systems under uncertainty. Active Network Management (ANM) allows this to happen without having to enlarge the system. This paper presents an ANM-based cost minimization and curtailment model for day-ahead operational planning of active distribution systems. Electric Vehicles (EVs) are managed by EV Aggregators for profit purposes under different parking characteristics in the Vehicle-to-grid mode. A pricing mechanism that defines interaction between the Distribution System Operator (DSO) and EV Aggregators is proposed. Uncertainty terms involve the wind power outputs, solar power outputs and the power demand. The stochastic optimization model created 27 scenarios and solved the minimization problem which involves the grid supply point power, the non-firm power and the aggregator power. This is applied to IEEE-33 bus system and implemented in AIMMS. Results show how the impact of various aggregators’ availability profiles help to reduce network operating cost and curtailment of non-firm DGs and improve voltage profiles.
Citation
Adeniji, O., & Kazemtabrizi, B. (2023). Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators. In 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). https://doi.org/10.1109/EEEIC/ICPSEUROPE57605.2023.10194840
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | EEEIC2023: 23rd International Conference on Environment and Electrical Engineering |
Start Date | Jun 6, 2023 |
End Date | Jun 9, 2023 |
Acceptance Date | Mar 11, 2023 |
Online Publication Date | Aug 3, 2023 |
Publication Date | Aug 3, 2023 |
Deposit Date | May 10, 2023 |
Publicly Available Date | Sep 7, 2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Book Title | 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) |
DOI | https://doi.org/10.1109/EEEIC/ICPSEUROPE57605.2023.10194840 |
Public URL | https://durham-repository.worktribe.com/output/1134295 |
Publisher URL | https://ieeexplore.ieee.org/xpl/conhome/1800065/all-proceedings |
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