Critical peak pricing demand response participant assessment
First Claim
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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Abstract
A method of critical peak pricing (CPP) demand response (DR) event implementation includes performing an initial CPP participant selection assessment. The method includes generating an initial CPP participant selection and an estimated CPP curtailment based on the initial CPP participant selection assessment. The method includes calculating a reduced day-ahead demand. The method includes evaluating the reduced day-ahead demand. The method includes submitting an energy bid to a market server. The method includes forecasting a revised real time price. The method includes performing a final CPP participation selection assessment. The method may include generating a final CPP participant selection to include the CPP participants having accumulated individual participant revenue effects up to the reduced day-ahead demand. The method includes communicating CPP event notifications to each of the CPP participants in the final CPP participant selection.
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Citations
21 Claims
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1. A method of critical peak pricing (CPP) demand response (DR) event implementation, the method comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A non-transitory computer-readable medium having encoded therein programming code executable by a processor to perform or control performance of operations comprising:
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determining whether critical peak pricing (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 a 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. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A critical peak pricing (CPP) demand response (DR) system comprising:
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a utility that is associated with a utility server; a first site that receives energy distributed by the utility, the first site including a first appliance that consumes energy or controls operation of a first device that consumes energy distributed by the utility; a second site that receives energy distributed by the utility, the second site including a second appliance that consumes energy or controls operation of a second device that consumes energy distributed by the utility; a first smart meter connected to the first site that is configured to communicate energy usage data to the utility server; a second smart meter connected to the second site that is configured to communicate energy usage data to the utility server; and an energy market server communicatively coupled to the utility server and one or more energy sources via a network, wherein the utility server includes one or more processors and non-transitory computer-readable medium having encoded therein programming code executable by the one or more processors to perform or control performance of operations comprising; performing an initial CPP participant selection assessment of the CPP DR system, the initial CPP participant selection assessment including calculating an individual participant revenue effect for each of the first site and the second site based at least partially on the energy usage data received from the first and second smart meters;
setting participant revenue thresholds for a CPP DR event based on event participant limit; and
comparing the individual participant revenue effects for the first site and the second site to the participant revenue thresholds;generating an initial CPP participant selection that includes one or both of the first site and the second site; further generating 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 the market server, the energy bid including a day-ahead demand and a day-ahead price based on the reduced day-ahead demand; receiving day-ahead market results based on the energy bid sent by the utility server and one or more additional energy bids communicated by one or more energy sources; 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 of the CPP DR system, the final CPP participation selection assessment including re-calculation of the individual participant revenue effects for each of the first site and the second site based on the 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; determining that the first site has a first accumulated individual participant revenue effect that is included in the reduced day-ahead demand and that the second site has a second accumulated individual participant revenue effect that exceeds the reduced day-ahead demand; generating a final CPP participant selection to include the first site and exclude the second site; and implementing a 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 a first CPP event notification to the first site to lower energy consumption by the first appliance or the first device.
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Specification