Minimizing Bid Adjustments and Maximizing Flexibility: A Comprehensive Framework for Grid Prequalification of DERs

Distributed Energy Resources (DERs) offer great potential to provide flexibility-based services but come with operational challenges when integrated in the centralized ancillary service (AS) market operated by transmission system operator (TSO). The current market arrangement lacks sufficient resolution of distribution constraints during market clearing. To address this issue, a detailed grid prequalification process is required before DER participation in the centralized market. In this context, this paper introduces a detailed framework for distribution system operators (DSOs) to qualify DERs and adjust their operational limits, maximizing flexibility with minimal bid deviation. The framework employs network capability regions to consider distribution constraints, uses the Euclidean distance to reduce complex power deviations, and considers grid integration costs as a preference criterion for bid modifications. Results confirm that using a single network capability region allows for dynamic prequalification, which enhances transparency and reduces the need for bid adjustments. Additionally, considering grid integration costs can lead to savings on future reinforcement expenses for DSOs. The approach has been tested using IEEE standard bus systems, demonstrating enhanced flexibility in DERs, which is transferred to the TSO. This approach is suitable for larger systems having multiple DERs connected under a single DSO.

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Publication Details

Journal
IEEE Transactions on Energy Markets Policy and Regulation
Published
2025-06-16
DOI
https://doi.org/10.1109/tempr.2025.3580217
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

Minimizing Bid Adjustments and Maximizing Flexibility: A Comprehensive Framework for Grid Prequalification of DERs

Parul Mathuria, Rohit Vijay
1 citations
IEEE Transactions on Energy Markets Policy and Regulation
Distributed and Parallel Computing Systems
1.49
article

Minimizing Bid Adjustments and Maximizing Flexibility: A Comprehensive Framework for Grid Prequalification of DERs

Parul Mathuria, Rohit Vijay
article en
1 citations

Abstract

Distributed Energy Resources (DERs) offer great potential to provide flexibility-based services but come with operational challenges when integrated in the centralized ancillary service (AS) market operated by transmission system operator (TSO). The current market arrangement lacks sufficient resolution of distribution constraints during market clearing. To address this issue, a detailed grid prequalification process is required before DER participation in the centralized market. In this context, this paper introduces a detailed framework for distribution system operators (DSOs) to qualify DERs and adjust their operational limits, maximizing flexibility with minimal bid deviation. The framework employs network capability regions to consider distribution constraints, uses the Euclidean distance to reduce complex power deviations, and considers grid integration costs as a preference criterion for bid modifications. Results confirm that using a single network capability region allows for dynamic prequalification, which enhances transparency and reduces the need for bid adjustments. Additionally, considering grid integration costs can lead to savings on future reinforcement expenses for DSOs. The approach has been tested using IEEE standard bus systems, demonstrating enhanced flexibility in DERs, which is transferred to the TSO. This approach is suitable for larger systems having multiple DERs connected under a single DSO.

IEEE Transactions on Energy Markets Policy and RegulationVol. 3(3)
Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 16%
Distributed and Parallel Computing Systems
1.49
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Minimizing Bid Adjustments and Maximizing Flexibility: A Comprehensive Framework for Grid Prequalification of DERs — Parul Mathuria, Rohit Vijay · IEEE Transactions on Energy Markets Policy and Regulation (2025) | TGRS Research Map | TGRS