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Critical peak pricing demand response participant assessment

  • US 10,181,165 B2
  • Filed: 02/12/2016
  • Issued: 01/15/2019
  • Est. Priority Date: 02/12/2016
  • Status: Active Grant
First Claim
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1. A method of critical peak pricing (CPP) demand response (DR) event implementation, the method comprising:

  • determining whether CPP event notifications are broadcast to CPP participants in a CPP DR system;

    in response to the CPP event notifications being unicast, determining whether curtailment behavior of one or more of the CPP participants is a factor in load estimations during the CPP DR event;

    in response to the curtailment behavior being a factor, determining whether DR assessments consider one or more energy market condition factors;

    in response to the DR assessments considering the one or more energy market condition factors;

    receiving energy usage data from a plurality of sites via smart meters configured to measure energy distributed to the plurality of sites by a utility;

    performing an initial CPP participant selection assessment, the initial CPP participant selection assessment including calculating an individual participant revenue effect for the CPP participants;

    setting participant revenue thresholds based on event participant limit; and

    comparing the individual participant revenue effects and the participant revenue thresholds;

    generating an initial CPP participant selection and an estimated CPP curtailment for an immediately subsequent day based on the initial CPP participant selection assessment;

    based on the initial CPP participant selection, calculating a reduced day-ahead demand as a portion of the estimated CPP curtailment;

    evaluating the reduced day-ahead demand to ensure that reductions in energy use by the CPP participants of the initial CPP participant selection do not frustrate efficiencies introduced through the estimated CPP curtailment;

    submitting an energy bid to a market server, the energy bid including a day-ahead demand and a day-ahead price based on the reduced day-ahead demand;

    forecasting a revised real time price for the immediately subsequent day based on day-ahead market results received from the market server;

    performing a final CPP participation selection assessment, the final CPP participation selection assessment including re-calculation of the individual participant revenue effects for the CPP participants based on a forecasted revised real time price, sorting the individual participant revenue effects in decreasing order, calculating accumulated CPP curtailments from the sorted individual participant revenue effects, and comparing the accumulated CPP curtailments with the reduced day-ahead demand; and

    generating a final CPP participant selection to include the CPP participants having accumulated individual participant revenue effects up to the reduced day-ahead demand; and

    implementing the CPP DR event in the CPP DR system during a period in which the CPP is applied, the implementing the CPP DR event including communication of CPP event notifications to each of the selected participants to lower energy consumption by appliances of the CPP participants.

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