Community energy management system

• US 9,798,298 B2
• Filed: 02/21/2013
• Issued: 10/24/2017
• Est. Priority Date: 04/02/2012
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Kaulgud, Vikrant Shyamkant, Paul, Sanjoy
• Primary Examiner(s): Abrahamson, Amanda
• Assistant Examiner(s): Smellie, Romeo R
• Application Number:
  US13/772,557
• Publication Number:
  US 20130262197A1
• Time in Patent Office: 1,706 Days
• Field of Search: 705412, 705 141
• CPC Class Codes: G05B 13/02 electric
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/001 Methods to deal with contingencies, e.g. abnormalities, faults or failures
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• 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: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• 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 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

Systems and methods for distributed control and energy management of one or more communities of energy-consuming units may include aggregation of consumption data from units, and determining per-unit electricity consumption based thereon, including consumption of backup power provided by a community during periods of time of poor quality (brownouts) or blackouts of a utility. A system may calculate and assess to respective units per-unit costs for such backup power. A system may also issue a command or alert to units to carry out one or both of community electricity usage objectives and electricity quotas required by the utility, which may be determined through execution of rules.

Claims

1. A method executable using at least one computer having at least one processor and memory located within a community energy management system (CEMS), the method comprising:

receiving power supply data from a sensor of the CEMS at a first hierarchical control level of the CEMS, the power supply data comprising information of electricity supplied to a community by monitoring a feeder line from a local utility to the community, the community comprising a plurality of power consuming units at a second hierarchical control level of the CEMS, and each power consuming unit being a customer site, wherein each power consuming unit includes a plurality of power consuming appliances;

dynamically sensing one or more time periods for which backup power is provided to the community based on the received power supply data indicating the feeder line from the local utility to the community is not adequately supplying power to the community, the backup power being from backup energy sources allocated to supply power to the entirety of the community;

collecting at a second hierarchical control level of the CEMS during the one or more time periods, using appliance sensors associated with respective appliances in respective power consuming units, power consumption data indicative of individual consumption of electricity by the plurality of respective appliances in each of the plurality of power consuming units of the community;

generating aggregated information at the second hierarchical control level, the aggregated information comprising the power consumption data aggregated to be indicative of power consumption of respective power consuming units;

transmitting the aggregated information from the second hierarchical control level of the CEMS over a network to the first hierarchical control level of the CEMS;

dynamically monitoring, at the first hierarchical control level, power consumption of respective power consuming units;

estimating, at the first hierarchical control level of the CEMS, future backup power requirements of each of the power consuming units based on the aggregated information and a determination of backup power dynamically consumed by each of the plurality of power consuming units of the community during the one or more time periods for which backup power is provided to the community;

receiving from the local utility a demand response command to reduce or turn off power consumption within the community;

generating, at the first hierarchical control level of the CEMS, in response to the demand response command received from the local utility, a command for the second hierarchical control level of the CEMS to dynamically control further power consumption in individual power consuming units such that the backup power is allocated in accordance with community electricity usage objectives of the community, and individual priorities of respective power consuming units; and

dynamically controlling, at the second hierarchical control level of the CEMS, individual power consumption of at least some of the plurality of appliances included in one or more respective power consuming units based on the command by passing the command through as an executable command to a respective appliance, or by generating at the second hierarchical control level of the CEMS, based on the command, a new executable command to the respective appliance.

2. The method of claim 1, further comprising:

analyzing, at the first hierarchical control level of the CEMS, the aggregated information of the power consuming units to develop per-power consuming unit consumption patterns; and

filtering, at the second hierarchical control level of the CEMS, the aggregated information to determine an amount of reduction in power consumption by a power consuming unit from among the power consuming units during a time period for which backup power is provided in comparison to a time period for which backup power is not provided.

3. The method of claim 1, further comprising:

receiving, at the first hierarchical control level of the CEMS, from the second hierarchical control level of the CEMS, an exemption from any demand for electricity consumption reduction, the exemption being for at least one appliance of an identified power consuming unit and being for a time period during which backup power is provided; and

generating and transmitting another command to the second hierarchical control level of the CEMS to exempt the at least one appliance of the identified power consuming unit from a reduction in power consumption due to control at the second hierarchical control level of the CEMS.

4. The method of claim 1, where monitoring power consumption data at the plurality of power consuming units further comprises:

receiving, at the first hierarchical control level of the CEMS from over a network, consumption data from smart device management systems (SDMSs) included in the second hierarchical control level of the CEMS of respective power consuming units, each smart device management system in communication with one or more smart plugs or smart appliances at each respective power consuming unit.

5. The method of claim 4, where the received consumption data includes consumption patterns of electricity on a per-unit basis of respective power consuming units, the method further comprising:

accessing, from the memory, one or more rules that address community electricity usage objectives;

sending an alert, from the first hierarchical control level of the CEMS, over the network to the SDMS of the respective power consuming units based on the consumption patterns of the respective power consuming units; and

executing, with the first hierarchal level of the CEMS, one or more rules indicated in the alert to further the community electricity usage objectives.

6. The method of claim 4, where the received consumption data includes consumption patterns of electricity on a per-unit basis of respective power consuming units, the method further comprising:

receiving, as the demand response, from the local utility at the first hierarchical control level of the CEMS, a not-to-exceed quota of power for consumption during a period of time;

analyzing, at the first hierarchical control level of the CEMS, the consumption data of respective power consuming units;

selecting, at the first hierarchical control level of the CEMS, at least one of the one or more smart plugs or smart appliances according to historical consumption rates of the one or more smart plugs or smart appliances; and

sending the command to the SDMSs of the respective power consuming units, the command indicative to the SDMSs to disconnect or adjust power to the selected smart plugs or smart appliances, such that the power consumption of the community does not exceed the quota of power for consumption during said period of time.

7. The method of claim 4, further comprising:

sending, over the network from the first hierarchical control level of the CEMS an electronic communication to a unit owner of a power consuming unit included among the plurality of power consuming units, via the SDMS at said power consuming unit or through a web or mobile interface, or any combination thereof,

where the SDMS is configured to drive a display screen using the electronic communication to display, on an interface comprising a graphical user interface, consumption data to said unit owner for use of the backup power.

8. The method of claim 7, where the SDMS is further configured to drive a display screen using the electronic communication to display comparative standings in electricity consumption as compared to averages, and best and worst electricity consumption by each of the respective power consuming units of the community.

9. The method of claim 1, where the computer comprises two or more computers, where at least a second computer operable at the second hierarchical control level of the CEMS is in communication over a network with at least a second computer operable at the first hierarchical control level of the CEMS.

10. A method executable using at least one computer, having at least one processor and memory, of a service provider of a plurality of communities of customer sites, the method comprising:

monitoring, supply data received from a plurality of sensors of a plurality of different respective community energy management systems (CEMSs) of respective different communities, the supply data comprising electricity supplied to each of the plurality of communities by monitoring, at a first hierarchical control level of the CEMS, respective feeder lines from a local utility for each respective community, each community comprising a plurality of customer sites, and each of the communities being a subset of a power grid;

developing, at the first hierarchical control level of the CEMS, patterns of incoming electricity supply for the respective communities by identifying periods of time during which the electricity supplied from the local utility is cut or reduced based on the supply data;

aggregating data of the plurality of customer sites from each community at a second hierarchical control level of the CEMS, the aggregated data received over a network from a smart device management system (SDMS) of each respective customer site, the SDMS included in the second hierarchical control level of the CEMS and, the aggregated data including combined individual power consumption of respective appliances included on respective customer sites to indicate at least consumption patterns of the customer sites on a per-unit basis;

comparing, at the first hierarchical control level of the CEMS, the aggregated data of the plurality of customer sites from each community and the developed patterns of incoming electricity supply for the respective communities;

accessing, at the first hierarchical control level of the CEMS, one or more rules from the memory, or as received from the local utility, the one or more rules addressing a demand response requirement selectively required by the local utility to reduce power consumption of the community, the one or more rules being executable at a micro level for each of the customer sites, to dynamically determine a reduction in power consumption of individual customer sites at each monitored community to proactively reduce a likelihood of a blackout or a brownout in the local utility, where the blackout comprises a cut and the brownout comprises a reduction in supply of electricity from the local utility to the respective monitored community via a respective feeder line;

sending over the network, using at least one processor executed at the first hierarchical control level of the CEMS, an alert or command to the SDMS of respective customer sites of the communities based on the comparison of the patterns of incoming electricity supply for the respective communities and the consumption patterns of the respective customer sites on the per-unit basis, the alert or command indicating an execution of the one or more rules to reduce the likelihood of the blackout or the brownout in the local utility; and

controlling, at the second hierarchical control level of the CEMS, power consumption of the respective appliances included on respective customer sites by execution of the one or more rules.

11. The method of claim 10, where the alert prompts a customer site from a community to initiate voluntary reduction of electricity consumption at the customer site, and the method further comprises:

identifying, at the second control level of the CEMS, from the individual power consumption of respective appliances included on respective customer sites, a voluntary reduction of electricity consumption at a respective customer site in response to the alert at the SDMS;

generating by execution of the one or more rules at the second control level of the CEMS a command; and

sending the command via the SDMS to adjust power consumption of at least one appliance at the respective customer site.

12. The method of claim 10, where the command comprises an instruction configured for execution by an appliance or comprises an instruction configured for a socket of a smart plug at a customer site from a community, the instruction being to disconnect or adjust electricity to the appliance plugged into the socket.

13. The method of claim 10, where the one or more rules are first rules, the method further comprising:

executing, at the second control level of the CEMS, one or more second rules that address respective community electricity usage objectives, where the alert or the command is to further the electricity usage objectives of at least one community.

16. The method of claim 10, wherein aggregating data further comprises collecting power consumption data at the second hierarchical control level with the SDMS during the periods of time using appliance sensors associated with respective appliances in respective customer sites, the power consumption data comprising aggregated information of individual consumption of electricity by the plurality of respective appliances on each of the customer sites, the aggregated information generated by the SDMS at the second hierarchical control level, and transmitted over the network to the first hierarchical control level.

17. The method of claim 10, further comprising:

dynamically sensing, at the first hierarchical control level, backup power being provided to one of the communities during the time period based on the received supply data for the one of the communities;

dynamically monitoring, at the first hierarchical control level, power consumption data of the one of the communities, the power consumption data collected at the second hierarchical control level during the time period using appliance sensors associated with respective appliances included on respective customer sites which are included in the one of the communities, the power consumption data included in the aggregated data; and

estimating, at the first hierarchical control level of the CEMS, future backup power requirements of each of the respective customer sites in the one of the communities based on a determination of backup power dynamically consumed by each of the respective customer sites of the one of the communities during the period for which backup power is provided to the one of the communities.

18. The method of claim 10, wherein the command comprises an instruction to control power of an identified appliance in an identified customer site, and the method comprises the SDMS transmitting the instruction for receipt by the identified appliance, or the command comprises an instruction to control power of an identified customer site, and the method comprises the SDMS identifying an appliance in the identified customer site, and generating a control instruction to control the identified appliance in the identified customer site in accordance with the command.

14. A community energy management system for managing provisioned backup power, comprising:

at least one computer including at least one processor and computer memory;

a network interface coupled with the at least one computer configured to communicate with units of a community over at least one network;

the at least one processor configured to;

receive, at a first hierarchical control level, supply data from sensors that monitor electricity supplied to a community by monitoring a feeder line from a local utility, the community comprising a plurality of consuming units, each consuming unit comprising at least one appliance;

detect, at the first hierarchical control level based on the supply data, a reduction or loss in electricity supplied on the feeder line from the local utility during one or more time periods for which backup power is provided to the community;

receive, at a second hierarchical control level, consumption data from sensors that monitor electricity consumption by the at least one appliance included in each of the plurality of consuming units in the community;

aggregate, at the second hierarchical control level the consumption data to indicate with aggregated consumption data respective power consumption of each of the plurality of consuming units in the community;

transmit from the second hierarchical control level over a network to the first hierarchical control level the aggregated consumption data of each of the plurality of consuming units in the community;

compare, at the first hierarchical control level, the aggregated consumption data and the supply data from the sensors that monitor electricity supplied to the community via the feeder line from the local utility;

dynamically determine, at the first hierarchical control level based on the comparison of the aggregated consumption data and the supply data from the sensors that monitor electricity supplied to the community, backup power consumed by the community on a per-unit basis during the one or more time periods; and

dynamically and independently control, at the second hierarchical control level, power consumption of the at least one appliance included in the respective consuming units based on per-unit consumption of the backup power during the one or more time periods.

15. A hierarchical energy management system for executing demand response control over a plurality of communities, each community comprising a respective plurality of units, and each unit comprising a plurality of appliances, the system comprising:

at least one computer including at least one processor and memory;

a network interface coupled with the at least one computer, the network interface configured to communicate with the communities and their units over at least one network;

the at least one processor configured to;

receive, at a first hierarchical control level, electricity supply data from sensors that monitor electricity supplied to each of the plurality of communities by monitoring respective feeder lines from a local utility for each community, to identify incoming electricity patterns of supply for the respective communities based on detection of time periods of cut or reduced electricity supply;

receive electricity consumption data from a smart device management system (SDMS) of each respective unit in the plurality of communities, the SDMS operable at a second hierarchical control level and in communication with the first hierarchical control level over the at least one network;

aggregate, at the second hierarchical control level, electricity consumption data from each community for a plurality of units of each community that consume the electricity, the electricity consumption data including at least consumption patterns on a per-unit basis and power consumption data of respective individual appliances included in each respective unit;

compare, at the first hierarchical control level of the CEMS, the aggregated electricity consumption data from each community for the plurality of units of each community that consume the electricity and the identified incoming electricity patterns of supply for the respective communities;

access, at the first hierarchical control level, one or more rules from the memory, or as received from the local utility, the one or more rules addressing a demand response requirement selectively required by the local utility to reduce power consumption of the communities, the one or more rules executable to apply at a micro level for each of the units to adjust power supply demand of individual units at each monitored community to proactively reduce a likelihood of a blackout or a brownout in the local utility based on a demand response of the local utility; and

send an alert or command to the SDMS of the respective units of the communities to which the one or more rules were applied based on comparison of the identified incoming electricity patterns of supply for the respective communities and the consumption patterns on the per-unit basis, to reduce the likelihood of the blackout or the brownout in the local utility by control with the SDMS at the second hierarchical control level, of power consumption of the respective appliances included in respective units based on the alert or command.