Determining intermittent renewable energy penetration limits in a grid

Patent metadata

Field	Value
Publication number	US-10832353-B2
Application number	US-201514926829-A
Country	US
Kind code	B2
Filing date	Oct 29, 2015
Priority date	Oct 29, 2015
Publication date	Nov 10, 2020
Grant date	Nov 10, 2020

Abstract

Methods, systems, and computer program products for determining intermittent renewable energy penetration limits in a grid are provided herein. A computer-implemented method includes determining a load forecast for an electrical network based on historical load data and future step load information; determining the maximum size of renewable energy sources that can be added to the network based on the load forecast, parameters pertaining to the network, information pertaining to the renewable energy sources, and information pertaining to non-renewable energy sources; determining a storage component size for storing renewable energy generated by the renewable energy sources based on the maximum size of the renewable energy sources and constraints associated with the network; determining a minimum loading level of the non-renewable energy sources based on the load forecast, intermittency data associated with the renewable energy sources and the parameters pertaining to the network; and configuring the network based on the determinations.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
determining a load forecast for an electrical network based on (i) historical load data for the electrical network, and (ii) future step load information for the electrical network;
determining the maximum size of one or more renewable energy sources that can be added to the electrical network based on (i) the load forecast, (ii) one or more parameters pertaining to the electrical network comprising resistance, reactance, and capacitance, (iii) information pertaining to the one or more renewable energy sources, and (iv) information pertaining to one or more non-renewable energy sources comprising multiple generator parameters comprising transient reactance and one or more droop characteristics;
determining a size of at least one storage component for storing renewable energy generated by at least one of the one or more renewable energy sources, wherein said determining the size is based on (i) the maximum size of the one or more renewable energy sources that can be added to the electrical network, and (ii) one or more constraints associated with the electrical network;
determining a minimum loading level of the one or more non-renewable energy sources based on (i) the load forecast, (ii) intermittency data associated with the one or more renewable energy sources and (iii) the one or more parameters pertaining to the electrical network, wherein said determining the minimum loading level of the one or more non-renewable energy sources comprises determining an average minimum loading level of the one or more non-renewable energy sources;
configuring the electrical network based on (i) the maximum size of the one or more renewable energy sources that can be added to the electrical network, (ii) the size of the at least one storage component for storing renewable energy, and (iii) the minimum loading level of the one or more non-renewable energy sources, wherein said configuring comprises minimizing a levelized cost of energy associated with the electrical network calculated based on an initial capital cost for the one or more renewable energy sources and the at least one storage component, a fixed charge rate, an expected annual energy production associated with the electrical network, operational expenses for a given period of time, and an argument indicating an electric network-level quantity; and
implementing a control system of one or more diesel generators in conjunction with the electrical network and configuring the control system of one or more diesel generators to automatically deliver reserve active power to maintain an approximate balance a balance between demand and supply in the electrical network based at least in part on said configuring of the electrical network;
wherein said steps are carried out by at least one computing device.

2. The computer-implemented method of claim 1 , wherein the one or more parameters pertaining to the electrical network comprise one or more items of equipment data associated with the electrical network.

3. The computer-implemented method of claim 2 , wherein the one or more items of equipment data comprise one or more items of generator data.

4. The computer-implemented method of claim 2 , wherein the one or more items of equipment data comprise one or more items of protection system data.

5. The computer-implemented method of claim 1 , wherein the one or more constraints associated with the electrical network comprise one or more cost constraints associated with the electrical network.

6. The computer-implemented method of claim 5 , wherein the one or more cost constraints comprise a fixed charge rate.

7. The computer-implemented method of claim 5 , wherein the one or more cost constraints comprise an operations cost.

8. The computer-implemented method of claim 5 , wherein the one or more cost constraints comprise a maintenance cost.

9. The computer-implemented method of claim 5 , wherein the one or more cost constraints comprise a land lease cost.

10. The computer-implemented method of claim 5 , wherein the one or more cost constraints comprise an initial capital cost.

11. The computer-implemented method of claim 1 , wherein the one or more constraints associated with the electrical network comprise one or more constraints pertaining to generator loading capability.

12. The computer-implemented method of claim 11 , wherein the one or more constraints pertaining to generator loading capability comprise a minimum loading constraint.

13. The computer-implemented method of claim 11 , wherein the one or more constraints pertaining to generator loading capability comprise a ramp limit constraint.

14. The computer-implemented method of claim 1 , wherein the one or more constraints associated with the electrical network comprise one or more spinning reserve requirements.

15. The computer-implemented method of claim 1 , wherein said determining the minimum loading level of the one or more non-renewable energy sources comprises determining an instantaneous minimum loading level of the one or more non-renewable energy sources.

16. A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to:
determine a load forecast for an electrical network based on (i) historical load data for the electrical network, and (ii) future step load information for the electrical network;
determine the maximum size of one or more renewable energy sources that can be added to the electrical network based on (i) the load forecast, (ii) one or more parameters pertaining to the electrical network comprising resistance, reactance, and capacitance, (iii) information pertaining to the one or more renewable energy sources, and (iv) information pertaining to one or more non-renewable energy sources comprising multiple generator parameters comprising transient reactance and one or more droop characteristics;
determine a size of at least one storage component for storing renewable energy generated by at least one of the one or more renewable energy sources, wherein said determining the size is based on (i) the maximum size of the one or more renewable energy sources that can be added to the electrical network, and (ii) one or more constraints associated with the electrical network;
determine a minimum loading level of the one or more non-renewable energy sources based on (i) the load forecast, (ii) intermittency data associated with the one or more renewable energy sources and (iii) the one or more parameters pertaining to the electrical network, wherein said determining the minimum loading level of the one or more non-renewable energy sources comprises determining an average minimum loading level of the one or more non-renewable energy sources;
configure the electrical network based on (i) the maximum size of the one or more renewable energy sources that can be added to the electrical network, (ii) the size of the at least one storage component for storing renewable energy, and (iii) the minimum loading level of the one or more non-renewable energy sources, wherein said configuring comprises minimizing a levelized cost of energy associated with the electrical network calculated based on an initial capital cost for the one or more renewable energy sources and the at least one storage component, a fixed charge rate, an expected annual energy production associated with the electrical network, operational expenses for a given period of time, and an argument indicating an electric net

Assignees

• IBM
• Univ Brunei Darussalam

Inventors

• Hazra Jagabondhu
• Padmanaban Manikandan
• Verma Ashish
• Pg Hj Petra Mohammad Iskandar
• Mathew Sathyajith

Classifications

• G06Q10/06315

  Needs-based resource requirements planning or analysis · CPC title

• Y04S10/50

  Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications · CPC title

• G06Q50/06 Primary

  Energy or water supply · CPC title