Decision support system based on energy markets

• US 10,521,867 B2
• Filed: 04/11/2016
• Issued: 12/31/2019
• Est. Priority Date: 09/15/2012
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Strelec, Martin, Macek, Karel, Fisera, Radek
• Primary Examiner(s): Akintola, Olabode
• Application Number:
  US15/096,253
• Publication Number:
  US 20160275630A1
• Time in Patent Office: 1,359 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A system for purchasing and selling power that fairly accommodates sellers and buyers. For instance, a submarket may be formed between a utility company or retailer and its consumer or customer. The utility or retailer may eliminate differences between generated or purchased power and demanded power. Mechanisms used for elimination of power differences may incorporate utilizing power from ancillary services, purchasing or selling power on the spot market, and affecting a demand for power with demand response programs. A difference between purchased power and demanded power may be minimized by forming an optimal power stack having a mix of power of the demand response program, power at the spot market and/or power of ancillary services. An optimization sequence may be implemented to minimize the difference between the purchased power and demanded power, and to maximize profit.

Claims

1. A system for optimizing a balance of power for a power utility company, comprising:

a demand response automation server having a processor;

a first mechanism connected to the processor, wherein the first mechanism affects supply of power by deciding about purchasing power from ancillary services;

a second mechanism connected to the processor, wherein the second mechanism affects supply of power by purchasing or selling power at a spot market;

a third mechanism connected to the processor, where the third mechanism influences a demand for power according to a demand response program between the power utility company and a customer;

wherein the processor processes a reduction of a difference between purchased power of the power utility company and demanded power of the customer, by determining an amount of power bought and/or sold with one or more of the first, second and third mechanisms;

wherein the processor makes a demand response action including providing a demand response signal to a device of the customer to change the power load of the customer and influence demand for power from the power utility company based, at least in part, on the difference between purchased power of the power utility company and demanded power of the customer,

wherein the difference between purchased power and demanded power is minimized by forming an optimal power stack, the optimal said power stack comprises a mix having power via the demand response program, power at the spot market, and/or power from ancillary services, the demand response automation server determining the mix of the power stack; and

the device changing the power load of the customer and influencing demand for power from the power utility company in response to the demand response signal.

2. The system of claim 1, further comprising:

an optimization sequence; and

wherein the optimization sequence comprises maximizing profit and/or minimizing the difference between the purchased power and the demanded power.

3. The system of claim 1, wherein:

P_Load is demanded power;

P_Purchased is purchased power; and

Δ

P is the difference between P_Load and P_Purchased.

4. The system of claim 3, wherein:

P_DR=α

Δ

P;

P_Spot=β

Δ

P;

P_AS=χ

Δ

P;

Δ

P_Correction comprises P_DR, P_Spot and P_AS;

Δ

P+Δ

P_Correction=0; and

α

+β

+χ

≈

1;

where;

Δ

P represents a difference between demanded power and purchased power;

P_DR represents a difference between demanded power and purchased power for demand response power;

P_Spot represents a difference between demanded power and purchased power for spot power;

P_AS represents a difference between demanded power and purchased power for ancillary power;

α

, β and

χ

are parameters determined to minimize Δ

P.

5. The system of claim 4, wherein α

could be a discrete variable representing a magnitude of acceptance of the customer in the demand response program.

6. The system of claim 3, wherein:

a power difference is Δ

P=P_Load−

P_Purchased;

for a load greater than supply, Δ

P−

P_DR−

P_Spot−

P_AS=0 and R(Δ

P)=R_Load(P)−

R_DR(α

Δ

P)+R_Spot(β

Δ

P)−

R_AS(χ

Δ

P)−

R_Purchased;

−

P_DR−

P_Spot−

P_AS=Δ

P_Correction;

R(Δ

P) is profit;

R_Load(P) is a price of the load;

R_DR(α

Δ

P) is a price of power determined between the power utility company and the customer in a demand response relationship;

R_Spot(β

Δ

P) is a price of power on an open market;

R_AS(χ

Δ

P) is a price of power from a system operator providing ancillary services at a set price;

α

+β

+χ

≈

1; and

7. The system of claim 3, wherein:

a power difference is Δ

P=P _Load−

P_Purchased;

for a load less than supply, Δ

P+P_DR+P_Spot+P_AS=0 and R(Δ

P)=R_Load(P)−

R_DR(α

Δ

P)−

R_Spot(β

Δ

P)−

R_AS(χ

Δ

P)−

R_Purchased;

P_DR+P_Spot+P_AS=Δ

P_Correction;

R(Δ

P) is profit;

R_Load(P) is a price of the load;

R_DR(α

Δ

P) is a price of power determined between the power utility company and the customer in a demand response relationship;

R_Spot(β

Δ

P) is a price of power on an open market;

R_AS(χ

Δ

P) is a price of power from a system operator providing ancillary services at a set price;

α

+β

+χ

≈

1; and