Optimized energy management system

• US 8,903,560 B2
• Filed: 08/24/2010
• Issued: 12/02/2014
• Est. Priority Date: 06/06/2005
• Status: Active Grant

• Current Assignee: Gridpoint (Twenty First Century Utilities LLC)
• Original Assignee: Gridpoint (Twenty First Century Utilities LLC)
• Inventors: Miller, Craig Howard
• Primary Examiner(s): Masinick, Michael D
• Application Number:
  US12/862,070
• Publication Number:
  US 20110208365A1
• Time in Patent Office: 1,561 Days
• Field of Search: 700/286, 700/291, 700/295, 700/296
• US Class Current: 700/291
• CPC Class Codes: G05B 15/02 electric
• 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 3/00 Circuit arrangements for ac mains or ac distribution networks
• 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: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 7/34 Parallel operation in networks using both storage and other dc sources, e.g. providing buffering H02J7/14 takes precedence
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• 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

Methods and systems are provided for optimizing the control of energy supply and demand. An energy control unit includes one or more algorithms for scheduling the control of energy consumption devices on the basis of variables relating to forecast energy supply and demand. Devices for which energy consumption can be scheduled or deferred are activated during periods of cheapest energy usage. Battery storage and alternative energy sources (e.g., photovoltaic cells) are activated to sell energy to the power grid during periods that are determined to correspond to favorable cost conditions.

Claims

1. A method for deferring demand for electrical energy, comprising the computer-implemented steps of:

(1) automatically estimating a cost over a forecasting period for electrical energy at a location, wherein the forecasting period is divided into at least three zones, said zones delineating different modes of operation derived either from a change in the relative price of one or more sources of energy or changes in demand relative to capacity of the one or more sources of energy, and wherein the cost of electrical energy is estimated for each of the at least three zones based on a forecast of demand for electrical energy in each of the at least three zones;

(2) determining a demand for electrical energy by one or more devices at the location for which energy consumption can be deferred;

(3) identifying, for each zone of the at least three zones, an available marginal power supply capacity;

(4) identifying, for each zone of the at least three zones, contiguous zones having a total duration exceeding a duration of time during which at least one device of the one or more devices is to be operated;

(5) determining that there is insufficient available marginal power supply capacity to provide the electrical load of the at least one device for an amount of time during which the at least one device is to be operated;

(6) incrementing demand in each zone by an amount sufficient to provide the electrical load of the at least one device;

(7) re-estimating the cost for each zone over the forecasting period for electrical energy based on the incremented demand in each zone;

(8) selecting a portion of the forecasting period having the lowest re-estimated cost as the lower-cost time period; and

(9) automatically deferring electrical consumption for the at least one device from a higher-cost time period to the lower-cost time period, including the computer-implemented step of issuing a command to cause the deferral to occur.

2. The method of claim 1, wherein the available marginal power supply capacity represents a capacity of a non-grid-based power source.

3. The method of claim 2, wherein the available marginal power supply capacity represents a capacity of a photovoltaic power source.

4. The method of claim 1, wherein step (8) includes

(8a) identifying, from the at least three zones, a plurality of candidate intervals for selection as the lower-cost time period;

and

(8b) selecting as the lower-cost time period the candidate interval resulting in the lowest cost.

5. The method of claim 1, wherein the forecasting period is divided into at least three zones, and wherein step (8) includes

(8a) determining, using a configuration specifying temporal limits on deferral of operation of the at least one device, a candidate interval comprising zones of the at least three zones during which the at least one device may be operated,

(8b) repeating step (8a) so as to identify a plurality of candidate intervals for selection as the lower-cost time period, and

(8c) selecting as the lower-cost time period the candidate interval resulting in the lowest cost.