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Hauptverfasser: Kar, Aditya Shankar, Challa, Kiran Kumar, Bharati, Alok Kumar, Singhal, Ankit, Ajjarapu, Venkataramana
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2405.12184
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author Kar, Aditya Shankar
Challa, Kiran Kumar
Bharati, Alok Kumar
Singhal, Ankit
Ajjarapu, Venkataramana
author_facet Kar, Aditya Shankar
Challa, Kiran Kumar
Bharati, Alok Kumar
Singhal, Ankit
Ajjarapu, Venkataramana
contents Active distribution system with high penetration of inverter based distributed energy resources (DER) can be utilized for VAR-related ancillary services. To utilize the DER flexibility, transmission system operator (TSO) must be presented with the aggregated DER flexibility of distribution system. However, the uncertainty in renewable generation questions the credibility of aggregated capability curve in practice. In this paper, we incorporate the uncertainty into aggregation process to develop a robust capability curve while preserving the real physics (unbalance and lossy nature) of distribution system. Statistical inference method is employed to quantify uncertainty in solar generation and quantified uncertainty is integrated into a chance constrained optimal power flow (OPF). It provides the grid operator with the dispatchable aggregated reactive power capability. The resulting capability curve with the associated probability can be harnessed by the TSO for decision making for both planning and operation.
format Preprint
id arxiv_https___arxiv_org_abs_2405_12184
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Robust VAR Capability Curve of DER with Uncertain Renewable Generation
Kar, Aditya Shankar
Challa, Kiran Kumar
Bharati, Alok Kumar
Singhal, Ankit
Ajjarapu, Venkataramana
Systems and Control
Active distribution system with high penetration of inverter based distributed energy resources (DER) can be utilized for VAR-related ancillary services. To utilize the DER flexibility, transmission system operator (TSO) must be presented with the aggregated DER flexibility of distribution system. However, the uncertainty in renewable generation questions the credibility of aggregated capability curve in practice. In this paper, we incorporate the uncertainty into aggregation process to develop a robust capability curve while preserving the real physics (unbalance and lossy nature) of distribution system. Statistical inference method is employed to quantify uncertainty in solar generation and quantified uncertainty is integrated into a chance constrained optimal power flow (OPF). It provides the grid operator with the dispatchable aggregated reactive power capability. The resulting capability curve with the associated probability can be harnessed by the TSO for decision making for both planning and operation.
title Robust VAR Capability Curve of DER with Uncertain Renewable Generation
topic Systems and Control
url https://arxiv.org/abs/2405.12184