# Scarcity Pricing for State-of-Charge Management in Real-Time Markets Under Intra-Day Uncertainty [Canonical reading](https://escapemeridian.com/readings/scarcity-pricing-for-state-of-charge-management-in-real-time-5f88f919) The paper’s authors propose a way to manage energy storage state-of-charge (SoC) in real-time electricity markets as net load forecasts change. Their method adjusts a day-ahead SoC schedule using existing multi-interval real-time unit commitment engines, then gives each economic dispatch an updated 5-minute SoC target and a dynamically updated shortage price for violating the constraint. The authors frame this as a balancing problem: storage can help when ramp capability is limited and can also level load over the day, while operators must manage both functions as forecasts update over a limited lookahead horizon. They simulate PJM’s energy markets for 365 days and report reliability improvements compared with enforcing the day-ahead schedule. They also report cost reductions and improved price formation compared with updating target quantities while using an administratively chosen shortage penalty. As an Escape Meridian interpretation, the dynamically updated shortage price ties the penalty for violating the SoC constraint to changing conditions rather than relying on an administratively chosen shortage penalty. These are simulation results; the abstract does not give their size or describe the simulation assumptions, so the evidence here does not establish how the approach would perform in market operation. Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims. ## Original source arXiv eess.SY · Article Original source date: Nov 9, 2026 (2026-11-09). Date basis: Date basis not provided. Added to Escape Meridian: 2026-11-10T16:19:18.296Z. First observed: 2026-11-10T08:36:22.998Z. Retrieved: 2026-11-10T16:18:08.804Z. - [Scarcity Pricing for State-of-Charge Management in Real-Time Markets Under Intra-Day Uncertainty](https://arxiv.org/abs/2611.11730) ## Limits The evidence is the paper's abstract; it does not provide the size of the reported reliability improvements, cost reductions, or price-formation changes. The abstract describes simulations of PJM's energy markets but does not state the simulation assumptions or establish performance in market operation. ## Open question What were the measured reliability improvements, cost reductions, and changes in price formation in the simulations? ## Source-stated The authors propose managing energy storage SoC in a real-time market by extending Hogan's scarcity pricing framework. > We propose a method to manage energy storage SoC in a real-time market by extending Hogan's (2013) scarcity pricing framework. - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source-stated Their method modifies a day-ahead SoC schedule as net load forecasts change, then supplies each economic dispatch with an updated 5-minute SoC target and dynamically updated shortage price. > A day-ahead SoC schedule is modified using existing multi-interval real-time unit commitment engines as net load forecasts change. To address 30-minute-ahead forecast errors, an updated 5-minute SoC target and a dynamically updated shortage price for violating the constraint are provided to each - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source-stated In simulations of PJM's energy markets for 365 days, the authors report reliability improvements over a strategy enforcing the day-ahead schedule. > We simulate PJM's energy markets for 365 days and demonstrate reliability improvements relative to a strategy that enforces the day-ahead schedule. - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source-stated The authors report cost reductions and improved price formation versus updating target quantities while using an administratively chosen shortage penalty. > We show cost reductions and improved price formation relative to a strategy that updates target quantities but uses an administratively chosen shortage penalty. - [Supporting source](https://arxiv.org/abs/2611.11730) ## Escape Meridian interpretation The method's changing shortage price is a way to tie the penalty for violating the SoC constraint to changing conditions, rather than using an administratively chosen penalty. > a dynamically updated shortage price for violating the constraint - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source and contributor context Wasti, Shailesh, Kumar, Aravind Retna, Varghese, Sushant, Giacomoni, Anthony, Alivand, Parviz, Hu, Yujie, Webster, Mort · Article author These are credits stated by the source; they do not establish a profile match or authorship of every passage. ## Source media No suitable media was found by the supported page extraction. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## TIME TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services. - [Explore this context](/entities/time) - [Reference](https://time.com/) ## arXiv arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed. - [Explore this context](/entities/arxiv) - [Reference](https://arxiv.org/) - [Reference](https://info.arxiv.org/help/api/index.html) ## Editorial provenance Version 1. Publication ID: a7b6eba7-5b4e-48b0-80aa-88588ab3b7ac. Prepared by gpt-6-luna; grounding review by gpt-6-luna. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-10T16:19:18.296Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: material\_development. Observation: 583bc3979290f1bff99aa0c527be1be5a15fc734da337fb396e6f63ad34873f8. Source text hash: f60aeea7b8e20c146dd1c33d12f9ba6c7de171ff1d66f758c84aa8295bfd0bcf. ## Revision and source-check history ### Version 1 — 2026-11-10T16:19:18.296Z The paper’s authors propose a way to manage energy storage state-of-charge (SoC) in real-time electricity markets as net load forecasts change. Their method adjusts a day-ahead SoC schedule using existing multi-interval real-time unit commitment engines, then gives each economic dispatch an updated 5-minute SoC target and a dynamically updated shortage price for violating the constraint. The authors frame this as a balancing problem: storage can help when ramp capability is limited and can also level load over the day, while operators must manage both functions as forecasts update over a limited lookahead horizon. They simulate PJM’s energy markets for 365 days and report reliability improvements compared with enforcing the day-ahead schedule. They also report cost reductions and improved price formation compared with updating target quantities while using an administratively chosen shortage penalty. As an Escape Meridian interpretation, the dynamically updated shortage price ties the penalty for violating the SoC constraint to changing conditions rather than relying on an administratively chosen shortage penalty. These are simulation results; the abstract does not give their size or describe the simulation assumptions, so the evidence here does not establish how the approach would perform in market operation. ## Original source arXiv eess.SY · Article Original source date: Nov 9, 2026 (2026-11-09). Date basis: Date basis not provided. Added to Escape Meridian: 2026-11-10T16:19:18.296Z. First observed: 2026-11-10T08:36:22.998Z. Retrieved: 2026-11-10T16:18:08.804Z. - [Scarcity Pricing for State-of-Charge Management in Real-Time Markets Under Intra-Day Uncertainty](https://arxiv.org/abs/2611.11730) ## Limits The evidence is the paper's abstract; it does not provide the size of the reported reliability improvements, cost reductions, or price-formation changes. The abstract describes simulations of PJM's energy markets but does not state the simulation assumptions or establish performance in market operation. ## Open question What were the measured reliability improvements, cost reductions, and changes in price formation in the simulations? ## Source-stated The authors propose managing energy storage SoC in a real-time market by extending Hogan's scarcity pricing framework. > We propose a method to manage energy storage SoC in a real-time market by extending Hogan's (2013) scarcity pricing framework. - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source-stated Their method modifies a day-ahead SoC schedule as net load forecasts change, then supplies each economic dispatch with an updated 5-minute SoC target and dynamically updated shortage price. > A day-ahead SoC schedule is modified using existing multi-interval real-time unit commitment engines as net load forecasts change. To address 30-minute-ahead forecast errors, an updated 5-minute SoC target and a dynamically updated shortage price for violating the constraint are provided to each - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source-stated In simulations of PJM's energy markets for 365 days, the authors report reliability improvements over a strategy enforcing the day-ahead schedule. > We simulate PJM's energy markets for 365 days and demonstrate reliability improvements relative to a strategy that enforces the day-ahead schedule. - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source-stated The authors report cost reductions and improved price formation versus updating target quantities while using an administratively chosen shortage penalty. > We show cost reductions and improved price formation relative to a strategy that updates target quantities but uses an administratively chosen shortage penalty. - [Supporting source](https://arxiv.org/abs/2611.11730) ## Escape Meridian interpretation The method's changing shortage price is a way to tie the penalty for violating the SoC constraint to changing conditions, rather than using an administratively chosen penalty. > a dynamically updated shortage price for violating the constraint - [Supporting source](https://arxiv.org/abs/2611.11730) ## Source and contributor context Wasti, Shailesh, Kumar, Aravind Retna, Varghese, Sushant, Giacomoni, Anthony, Alivand, Parviz, Hu, Yujie, Webster, Mort · Article author These are credits stated by the source; they do not establish a profile match or authorship of every passage. ## Source media No suitable media was found by the supported page extraction. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## TIME TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services. - [Explore this context](/entities/time) - [Reference](https://time.com/) ## arXiv arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed. - [Explore this context](/entities/arxiv) - [Reference](https://arxiv.org/) - [Reference](https://info.arxiv.org/help/api/index.html) ## Editorial provenance Version 1. Publication ID: a7b6eba7-5b4e-48b0-80aa-88588ab3b7ac. Prepared by gpt-6-luna; grounding review by gpt-6-luna. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-10T16:19:18.296Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: material\_development. Observation: 583bc3979290f1bff99aa0c527be1be5a15fc734da337fb396e6f63ad34873f8. Source text hash: f60aeea7b8e20c146dd1c33d12f9ba6c7de171ff1d66f758c84aa8295bfd0bcf. ### uncertain — 2026-11-10T16:19:18.296Z — anthropic/claude-opus-5.5 Publication: a7b6eba7-5b4e-48b0-80aa-88588ab3b7ac attribution — pass: The reading consistently attributes the proposal and results to the paper's authors. Its simulation outcomes are framed as what the authors report, not as established facts. The interpretive sentence is explicitly labeled as an Escape Meridian interpretation. > We propose a method to manage energy storage SoC in a real-time market by extending Hogan's (2013) scarcity pricing framework. summary — uncertain: The reading is faithful but hard to follow without specialist background. Central terms (net load, economic dispatch, unit commitment engines, ramp capability, price formation, scarcity pricing) and PJM, a US grid operator, are not explained in plain language or flagged for tooltips. It also drops the source's stated motivation: renewable growth raises net load variability and forecast error. It omits that the targets address 30-minute-ahead forecast errors and that US markets seek SoC management. Smallest repair: open with the renewables motivation, identify PJM, and suggest term-library tooltips for these terms. > The growth in renewable resources will increase net load variability and forecast error. date — pass: The originalPublished date of 2026-11-09 matches the arXiv v1 submission date. The feed date of 2026-11-10 is correctly not used. > \[Submitted on 9 Nov 2026\] support — pass: All claims are verbatim-supported by the abstract. The labeled interpretation contrasts a dynamically updated shortage price with an administratively chosen penalty, which reasonably restates the source's contrast without adding new facts. The limitations correctly note that the abstract gives no magnitudes or simulation assumptions. The question follows from that gap and is not a leading claim. > an updated 5-minute SoC target and a dynamically updated shortage price for violating the constraint are provided to each economic dispatch media — pass: The selected media is the verified direct arXiv abstract page for this paper. It is the most direct access to the source. ## Recorded references Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter. No public references recorded here yet. [Reference data (JSON)](/readings/5f88f9192edc9f337074027b7bcc4ffb42dbf10e78af1c2429cd783c1217c39f/references.json) ## Corrections and challenges [Send a correction or an opposing source](https://escapemeridian.com/corrections/) [JSON record](https://escapemeridian.com/readings/scarcity-pricing-for-state-of-charge-management-in-real-time-5f88f919.json)