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Opportunities and Perils in Ubiquitous Data Availability for the Open Access Environment

Opportunities and Perils in Ubiquitous Data Availability for the Open Access Environment. Panel: Grand Challenges in Electric Power Engineering Christopher L. DeMarco University of Wisconsin-Madison IEEE Power Engineering Society Summer Meeting Wednesday, July 24, 2002.

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Opportunities and Perils in Ubiquitous Data Availability for the Open Access Environment

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  1. Opportunities and Perils in Ubiquitous Data Availability for the Open Access Environment Panel: Grand Challenges in Electric Power Engineering Christopher L. DeMarco University of Wisconsin-Madison IEEE Power Engineering Society Summer Meeting Wednesday, July 24, 2002

  2. History: FERC Orders 888/889 • Order 889’s title coined OASIS for “Open Access Same-time Information System.” • To many, OASIS goals seem far from fully realized today, raising natural questions: • Is it a technical challenge to be overcome, to efficiently communicate & efficiently compute summary of available transmission capability? • Or are there valid institutional/policy reasons to question timely release of relevant data?

  3. Today: Pose Questions… • What if maximally feasible amount of transmission/distribution data were truly made universally available?

  4. Today: Pose Questions… • Would this create beneficial opportunities, and realize goals envisioned in OASIS? • Or would it be too perilous, endangering consumer privacy and infrastructure security?

  5. Specific Scenario Suppose: all control centers posted to universally accessible site the raw measurements typically fed to state estimator.

  6. Speculate - Potential Benefits • Create true competitive market for special purpose state estimators, culling useful information from data; • Decentralized & specialized ATC calculations; • Create more effective load management; • Open door to cost effective integration of micro-grids to large distribution/transmission system • Facilitate move to cost effective real time pricing. • General premise - observing example of GPS data - once useful data is made widely accessible, entrepreneurial opportunities to exploit data abound.

  7. Speculate - Potential Perils • Unacceptably compromise privacy, proprietary data of customers; • Ability to extract detailed individual consumption production patterns seems inevitable (isn’t it?); • Broadcast knowledge of grid’s Achilles heels; • Aid ill-intentioned players in design of “maximal disturbances” & malicious controllers

  8. Details - Potential Perils Author’s previous work on malicious control:Given power flow network data, and “reasonably accurate” (±20%) knowledge of generator dynamic parameters, one can design local generator controls to intentionally destabilize other machines.

  9. Details - Potential Perils Concern: earlier malicious control work postulated “only” over-aggressive, unethical competitor in the power market; How much worse if agent implementing control is unconstrained by concerns of remaining in the market after the event?

  10. Is There a Silver Lining(and a Grand Challenge?) (and a potential tie-in to state estimation grand challenges to follow… ?) Hypothesis - hope for acceptable trade-off in data opportunity vs. privacy/security lies in distributed, scalable, monitoring & data query systems.

  11. … Is There a Silver Lining(and a Grand Challenge?) • View extraction of raw data from power system as database queries; • Local “managers” of portions of the data-base perform automated negotiation for releases of data; • Queries could be legitimated by “tipping one’s own cards;” I get data only if I haveuseful data or computations to share.

  12. Conclusions • Strong reasons to believe that wide spread availability of transmission/distribution data could contribute to benefits of open access. • But … genuine security/privacy concerns make unfettered, universal release of data dangerous. • Challenge - can concepts from database security and query protocols be adapted to offer relatively open data, with decentralized verification and validation?

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