Robust flexibility needs assessment with bid matching framework for distribution network operators

Hashmi, Md Umar; Koirala, Arpan; Ergun, Hakan; Hertem, Dirk Van

doi:10.1016/j.segan.2023.101069

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article2

Other2

Preprint1

Relationship

Self Cite1

Independent4

Authors

Journals

Cited by 5 publications

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Distribution Systems as Catalysts for Energy Transition Embedding Flexibility in Large-Scale Applications

Celli,

Pisano,

Ruggeri

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Distribution Systems as Catalysts for Energy Transition Embedding Flexibility in Large-Scale Applications

Celli,

Pisano,

Ruggeri

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Stochastic flexibility needs assessment: learnings from H2020 EUniversal’s German demonstration

Hashmi,

Nagels,

Van Hertem

2024

2024 IEEE Power &Amp; Energy Society General Meeting (PESGM)

View full text Add to dashboard Cite

Robust Dynamic Operating Envelopes for Flexibility Operation Using Only Local Voltage Measurement

Hashmi,

Van Hertem

2023

2023 International Conference on Smart Energy Systems and Technologies (SEST)

Self Cite

View full text Add to dashboard Cite

With growing intermittency and uncertainty in distribution networks around the world, ensuring operational integrity is becoming challenging. Recent use cases of dynamic operating envelopes (DOEs) indicate that they can be utilized for network awareness for autonomous operation of flexibility, maximizing distributed generation integration, coordinating flexibility in different power networks and in resource planning. To this end, a novel framework is presented for generating decentralized DOEs in real-time using only the nodal voltage measurement and partially decentralized, risk-averse, robust DOEs in a time-ahead setting using voltage forecast scenarios.Chance constraint level is analytically implemented for avoiding extremely restrictive time-ahead DOEs with insufficient feasible regions for local energy optimization. Since the proposed DOE calculation framework uses none or limited centralized feedback, it is resilient to cyberattacks, communication failures, missing data and errors in network layout information. Numerical results showcase the DOE calculation framework in real-time using voltage magnitude measurements and in day-ahead timeframe using forecasted voltage scenarios. Furthermore, the DOEs are extended to form P-Q charts while considering power factor and converter capacity limits.

show abstract

Robust flexibility needs assessment with bid matching framework for distribution network operators

Cited by 5 publications

References 66 publications

Distribution Systems as Catalysts for Energy Transition Embedding Flexibility in Large-Scale Applications

Distribution Systems as Catalysts for Energy Transition Embedding Flexibility in Large-Scale Applications

Stochastic flexibility needs assessment: learnings from H2020 EUniversal’s German demonstration

Robust Dynamic Operating Envelopes for Flexibility Operation Using Only Local Voltage Measurement

Contact Info

Product

Resources

About