OPTIMAL INTRADAY SCHEDULING OF AGGREGATED DISTRIBUTED ENERGY RESOURCES (DERs)

A system, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive a plurality of inputs, via one or more hardware processors, wherein the plurality of inputs is associated with a plurality of intraday market historical data, a plurality of network data, a plurality of DERs, a plurality of DER data including a DER asset forecast and a DER technical information;
• create a basic operation schedule of the plurality of DERs for a pre-defined intraday time, via the one or more hardware processors, using the plurality of inputs based on a scheduling technique subject to a plurality of constraints, wherein the first operation schedule comprises a set of basic price parameters, a set of basic volume parameters, a basic operation schedule of the plurality of DERs and the plurality of constraints are determined based on the plurality of inputs;
• and
• schedule the plurality of DER at the pre-defined intraday time by optimizing the basic operation schedule, via the one or more hardware processors, wherein the scheduling comprises determining a final set of price parameters, a final set of volume parameters and a final operation schedule of the plurality of DERs, wherein:
• initializing the set of basic price parameters in the basic operation schedule based on the plurality of intraday market historical data to obtain a first operation schedule;
• determining a first set of volume parameters using the first operation schedule;
• obtaining a second operation schedule using the first set of volume parameters in the first operation schedule;
• determining a first set of price parameters using the second operation schedule based on the first set of volume parameters;
• determining a second set of volume parameters using the first operation schedule based on the first set of price parameters;
• determining a second set of price parameters using the second operation schedule based on the second set of volume parameters;
• determining a third set of volume parameters using the first operation schedule based on the second set of price parameters;
• determining a third set of price parameters using the second operation schedule based on the third set of volume parameters;
• computing a set of error parameters using the second set of price parameters, the second set of volume parameters, the third set of price parameters and the third set of volume parameters;
• comparing the set of error parameters to a set of error threshold parameters and performing one of:
• a) setting the third set of price parameter as the final set of price parameters and setting the third set of volume parameter as the final set of volume parameters, if the set of error parameters is within the set of error threshold parameters, and
• b) iteratively solving the first operation schedule and the second operation schedule until the set of error parameters is within the set of error threshold parameters, if the set of error parameters is not within the set of error threshold parameters;
• and
• determining the final operation schedule of the plurality of DERs based on the final set of price parameters, a final set of volume parameters using the basic operation schedule.

One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• receiving a plurality of inputs, wherein the plurality of inputs is associated with a plurality of intraday market historical data, a plurality of network data, a plurality of distributed energy resources (DER), a plurality of DER data including a DER asset forecast, and a DER technical information;
• creating a basic operation schedule of the plurality of DERs for a pre-defined intraday time, using the plurality of inputs based on a scheduling technique subject to a plurality of constraints, wherein the first operation schedule comprises a set of basic price parameters, a set of basic volume parameters, a basic operation schedule of the plurality of DERs and the plurality of constraints are determined based on the plurality of inputs;
• and
• scheduling the plurality of DERs at the pre-defined intraday time by optimizing the basic operation schedule, wherein the scheduling comprises determining a final set of price parameters, a final set of volume parameters, and a final operation schedule of the plurality of DERs, comprises:
• initializing the set of basic price parameters in the basic operation schedule based on the plurality of intraday market historical data to obtain a first operation schedule;
• determining a first set of volume parameters using the first operation schedule;
• obtaining a second operation schedule using the first set of volume parameters in the first operation schedule;
• determining a first set of price parameters using the second operation schedule based on the first set of volume parameters;
• determining a second set of volume parameters using the first operation schedule based on the first set of price parameters;
• determining a second set of price parameters using the second operation schedule based on the second set of volume parameters;
• determining a third set of volume parameters using the first operation schedule based on the second set of price parameters;
• determining a third set of price parameters using the second operation schedule based on the third set of volume parameters;
• computing a set of error parameters using the second set of price parameters, the second set of volume parameters, the third set of price parameters and the third set of volume parameters;
• comparing the set of error parameters to a set of error threshold parameters and performing one of:
• a) setting the third set of price parameter as the final set of price parameters and setting the third set of volume parameter as the final set of volume parameters, if the set of error parameters is within the set of error threshold parameters, and
• b) iteratively solving the first operation schedule and the second operation schedule until the set of error parameters is within the set of error threshold parameters, if the set of error parameters is not within the set of error threshold parameters;
• and
• determining the final operation schedule of the plurality of DERs based on the final set of price parameters, a final set of volume parameters using the basic operation schedule.