DEMAND SHAPING IN AN ELECTRICAL POWER GRID USING DAY AHEAD MARKET AND REAL TIME MARKET PRICES

• US 20160020608A1
• Filed: 03/05/2014
• Published: 01/21/2016
• Est. Priority Date: 03/07/2013
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Siemens Corp. (Siemens AG)
• Inventors: Akrotirianakis, Ioannis, Chakraborty, Amit, Carrasco, Rodrigo
• Granted Patent: US 9,899,837 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 13/041 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

A method (100) for electricity demand shaping through load shedding and shifting in an electrical smart grid.

Claims

1. A method for controlling the flow of energy in an electrical power grid, comprising:

a. shedding an optimal amount of energy demand for a user of the grid based on a set of possible values for actual energy procurement costs in the real-time market (RTM) and on a set of possible values for an actual non-moveable energy demand of the user;

b. shifting an optimal amount of energy demand for the user to a time when cheaper energy procurement costs may be obtained, said shifting based on a set of possible values for actual energy procurement costs in the real-time market (RTM) and on a set of possible values for actual non-moveable energy demand of the user; and

c. repeating the shedding and shifting steps until a convergence of respective total energy procurement costs of shedding and shifting is achieved.

2. The method of claim 1, wherein the step of shedding comprises providing to the user a predetermined amount of price incentive on energy procurement costs and directly controlling, without express information of load preferences of the user, the level of shedding to obtain said optimal amount of energy demand for the user to shed.

3. The method of claim 1, wherein the step of shedding comprises determining an amount of price incentive on energy procurement costs to obtain said optimal amount of energy demand for the user to shed.

4. The method of claim 2, wherein the step of determining comprises offering to the user the amount of price incentive and receiving from the user a decision on an amount of energy demand to shed.

5. The method of claim 1, wherein the step of shedding is performed without express information of load preferences of the user.

6. The method of claim 1, wherein the step of shedding comprises determining and purchasing an amount of non-moveable energy demand of the user in the RTM.

7. The method of claim 1, wherein the step of shifting comprises shifting an optimal amount of energy demand for the user to a time in either the day-ahead market (DAM) or the real-time market (RTM).

8. The method of claim 1, wherein said shifting is further based on a respective utility function for each user of the grid that relates a user'"'"'s energy consumption with the user'"'"'s price for said energy consumption.

9. The method of claim 1, wherein said shifting is further based on a fixed utility function for users of the grid that relates a user'"'"'s energy consumption with the user'"'"'s price for said energy consumption.

10. The method of claim 1, wherein said convergence comprises a difference between respective total energy procurement costs of shedding and shifting approximating zero.

11. A control system for an electrical power network that minimizes the costs of providing electricity to users in the network, comprising a processor that sheds a first amount of electricity demand for a respective user;

time-shifts a second amount of electricity demand for the respective user; and

repeats shedding and time-shifting until a convergence is achieved, said shedding and time-shifting each using a set of possible values for actual electricity procurement costs in the real-time market (RTM) and a set of possible values for actual non-moveable electricity demand of the respective user

12. The control system of claim 11, wherein shedding comprises providing to the user an amount of price incentive on electricity procurement costs directed to obtaining an optimal said first amount of electricity demand for a respective user.

13. The control system of claim 11, wherein time-shifting comprises shifting said second amount of electricity demand for the respective user to a time when cheaper electricity procurement costs may be obtained in either the day-ahead market (DAM) or the real-time market (RTM).

14. The control system of claim 11, wherein time-shifting relates a user'"'"'s electricity consumption with the user'"'"'s purchase price for said electricity consumption.

15. The control system of claim 11, wherein the processor determines the amount of electricity to procure on each of the day-ahead market (DAM) and the real-time market (RTM) to meet the electricity demand of the respective user after shifting and shedding.