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Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators

Adeniji, Olusegun; Kazemtabrizi, Behzad

Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators Thumbnail


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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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