An Electricity Market with Reactive Power Trading: Incorporating Dynamic Operating Envelopes
Zeinab Salehi, Elizabeth L. Ratnam, Yijun Chen, Ian R. Petersen, Guodong Shi, and Duncan S. Callaway

TL;DR
This paper proposes a novel electricity market model that integrates reactive power trading and dynamic operating envelopes to enhance voltage regulation and grid integration of distributed energy resources like rooftop solar and batteries.
Contribution
It introduces a market design incorporating P2P reactive power trading and dynamic operating envelopes, formulated as an optimization problem for improved grid management.
Findings
Market supports P2P energy and reactive power trading.
Voltage profiles are improved through dynamic operating envelopes.
Benchmarking shows effective grid constraint management.
Abstract
Electricity market design that accounts for grid constraints such as voltage and thermal limits at the distribution level can increase opportunities for the grid integration of Distributed Energy Resources (DERs). In this paper, we consider rooftop solar backed by battery storage connected to a distribution grid. We design an electricity market to support customers sharing rooftop generation in excess of their energy demand, where customers earn a profit through peer-to-peer (P2P) energy trading. Our proposed electricity market also incorporates P2P reactive power trading to improve the voltage profile across a distribution feeder. We formulate the electricity market as an optimization-based problem, where voltage and thermal limits across a feeder are managed through the assignment of customer-specific dynamic operating envelopes (DOEs). The electricity market equilibrium is referred…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Optimal Power Flow Distribution · Microgrid Control and Optimization
