Systems, methods and apparatus for a stakeholder market simulator for energy delivery systems

• US 10,268,973 B2
• Filed: 02/25/2015
• Issued: 04/23/2019
• Est. Priority Date: 02/25/2014
• Status: Active Grant

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Aganagic, Muhamed, Rajagopal, Sankaran, Wuest, Walter
• Primary Examiner(s): Mansfield, Thomas L
• Assistant Examiner(s): Holzmacher, Derick J
• Application Number:
  US14/631,060
• Publication Number:
  US 20150242785A1
• Time in Patent Office: 1,518 Days
• Field of Search: None
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

Embodiments provide stakeholder market simulator systems and methods for verifying optimal utilization of stakeholder resources in an energy delivery system. Embodiments include obtaining initial resource schedules and prices for a stakeholder'"'"'s resources using a set of input data regarding the stakeholder'"'"'s resources; creating a model incorporating constraints describing the stakeholder'"'"'s resources based on the input data; executing an optimization of an objective function for the stakeholder'"'"'s resources subject to the determined constraints to determine optimal prices and schedules for the stakeholder'"'"'s resources; and verifying the optimization by comparing the determined optimal prices and schedules for the stakeholder'"'"'s resources against published prices and schedules from an independent system operator. Numerous other aspects are provided.

Claims

1. A method of operating one or more generators in an energy delivery system having one or more individual stakeholders, the method comprising:

receiving, by an individual stakeholder of the one or more individual stakeholders, via a communications network, published prices and published schedules from an independent system operator, wherein the published prices and published schedules have been optimized for the energy delivery system as a whole, and wherein the individual stakeholder performs a bidding process;

obtaining, by the individual stakeholder, initial resource schedules and prices for one or more resources of the individual stakeholder using a set of input data regarding the individual stakeholder'"'"'s resources, wherein the individual stakeholder'"'"'s resources comprise one or more generators;

creating, by the individual stakeholder, a model incorporating constraints describing the individual stakeholder'"'"'s resources based on the set of input data;

executing, by the individual stakeholder, an optimization of an objective function for the individual stakeholder'"'"'s resources, subject to the constraints incorporated in the model, to produce prices and schedules optimized for the individual stakeholder'"'"'s resources;

comparing the prices and schedules optimized for the individual stakeholder'"'"'s resources against the published prices and published schedules optimized for the energy delivery system as a whole to produce a comparison result;

determining, by the individual stakeholder, based on the comparison result, whether the published prices and the published schedules optimized for the energy delivery system as a whole are sub-optimal for the individual stakeholder;

altering operation of the individual stakeholder'"'"'s one or more generators responsive to determining that the published prices and the published schedules optimized for the energy delivery system as a whole are sub-optimal for the individual stakeholder;

modifying the bidding process of the individual stakeholder responsive to determining that the published prices and the published schedules optimized for the energy delivery system as a whole are sub-optimal for the individual stakeholder; and

operating the energy delivery system, based, at least in part, on the prices and schedules optimized for the individual stakeholder'"'"'s resources via a generation control and load management system.

2. The method of claim 1, wherein the set of input data comprises:

public data, and private data of the individual stakeholder.

3. The method of claim 2, wherein the public data comprises:

static data, and dynamic data,

wherein the static data includes at least penalties for violations for scheduling and pricing executions for flowgates, nomograms, and inter-ties, and

wherein the dynamic data includes at least energy market clearing prices for the energy delivery system.

4. The method of claim 2, wherein the individual stakeholder'"'"'s private data comprises:

static data, and dynamic data,

wherein the static data includes at least resistance temperature detector output data, and

wherein the dynamic data includes at least outage and derate information for the individual stakeholder'"'"'s resources.

5. The method of claim 1, wherein executing the optimization of the objective function for the individual stakeholder'"'"'s resources comprises:

using a general solver application.

6. The method of claim 1, wherein executing the optimization of the objective function for the individual stakeholder'"'"'s resources comprises:

using a schedule driven simulation.

7. The method of claim 1, wherein executing the optimization of the objective function for the individual stakeholder'"'"'s resources comprises:

using a market clearing price driven simulation.

8. An energy delivery system comprising:

an independent system operator (ISO) system including a generation control and load management system, the ISO system configured to produce published prices and published schedules optimized for the energy delivery system as a whole;

an individual stakeholder configured to produce first bids in a first manner, the individual stakeholder comprising;

a processor;

a memory coupled to the processor and having stored therein a first set of instructions that, when executed by the processor, cause the individual stakeholder to;

obtain initial resource schedules and prices for one or more resources of the individual stakeholder using a set of input data regarding the individual stakeholder'"'"'s resources;

create a model incorporating constraints describing the individual stakeholder'"'"'s resources based on the set of input data, wherein the individual stakeholder'"'"'s resources comprise one or more generators;

execute an optimization of an objective function for the individual stakeholder'"'"'s resources subject to the constraints incorporated in the model to produce prices and schedules optimized for the individual stakeholder'"'"'s resources;

compare the prices and schedules optimized for the individual stakeholder'"'"'s resources against the published prices and published schedules optimized for the energy delivery system as a whole to produce a comparison result;

determine, based on the comparison result, whether the published prices and the published schedules optimized for the energy delivery system as a whole are sub-optimal for the individual stakeholder;

alter operation of the individual stakeholder'"'"'s one or more generators responsive to determining that the published prices and the published schedules optimized for the energy delivery system as a whole are sub-optimal for the individual stakeholder; and

configure the individual stakeholder to produce second bids in a second manner, responsive to determining that the published prices and the published schedules optimized for the energy delivery system as a whole are sub-optimal for the individual stakeholder;

wherein the ISO system is further configured to operate, via the generation control and load management system, the energy delivery system based, at least in part, on the prices and schedules optimized for the individual stakeholder'"'"'s resources.

9. The energy delivery system of claim 8, wherein the set of input data includes public data, and private data of the individual stakeholder.

10. The energy delivery system of claim 9, wherein the public data comprises:

static data, and dynamic data,

wherein the static data includes at least penalties for violations for scheduling and pricing executions for flowgates, nomograms, and inter-ties, and

wherein the dynamic data includes at least energy market clearing prices for the energy delivery system.

11. The energy delivery system of claim 9, wherein the individual stakeholder'"'"'s private data comprises:

static data, and dynamic data,

wherein the static data includes at least resistance temperature detector output data, and

wherein the dynamic data includes at least outage and derate information for individual stakeholder'"'"'s resources.

12. The energy delivery system of claim 8, further comprising:

a second set of instructions, which when executed by the processor, cause the processor to execute the optimization of the objective function for the individual stakeholder'"'"'s resources, using a general solver application.

13. The energy delivery system of claim 8, further comprising:

a third set of instructions, which when executed by the processor, cause the processor to execute the optimization of the objective function for the individual stakeholder'"'"'s resources, using a schedule driven simulation.

14. The energy delivery system of claim 8, further comprising:

a fourth set of instructions, which when executed by the processor, cause the processor to execute the optimization of the objective function for the individual stakeholder'"'"'s resources, using a market clearing price driven simulation.

15. A method of controlling one or more generators of a first individual stakeholder in an energy delivery system having a plurality of individual stakeholders, comprising:

receiving, by the first individual stakeholder, prices and schedules from an independent system operator (ISO), wherein the prices and schedules have been optimized for the energy delivery system as a whole;

generating a bid by the first individual stakeholder in accordance with a first bidding process, and transmitting the bid to the ISO;

obtaining, by the first individual stakeholder, initial schedules and prices for one or more of its generators, using a set of input data regarding the one or more generators;

creating, by the first individual stakeholder, a model incorporating constraints describing the one or more generators based on the set of input data;

executing, by the first individual stakeholder, a first optimization for the first individual stakeholder'"'"'s one or more generators, to produce prices and schedules optimized for the one or more generators;

comparing the prices and schedules optimized for the one or more generators against the prices and schedules optimized for the energy delivery system as a whole, and producing a comparison result;

altering operation of the first individual stakeholder'"'"'s one or more generators responsive to determining that the prices and the schedules optimized for the energy delivery system as a whole are sub-optimal for the first individual stakeholder;

modifying the first bidding process responsive to determining that the prices and the schedules optimized for the energy delivery system as a whole are sub-optimal for the first individual stakeholder; and

operating, by the ISO, the energy delivery system, based, at least in part, on the prices and schedules optimized for the first individual stakeholder'"'"'s generators.