OPTIMIZATION OF MICROGRID ENERGY USE AND DISTRIBUTION
First Claim
1. A system for near real-time, micro level energy optimization, the system comprising:
- a server;
one or more databases;
the server executing, at least in near real-time, a method comprising;
communicating with an energy provider, wherein the energy provider supplies energy to a plurality of customers or customer locations;
receiving energy provider data from the energy provider;
communicating with at least one information collector;
receiving information collector data comprising at least one of individualized energy usage data, customer preferences, and customer or location characteristics from the at least one information collector;
communicating with the one or more databases;
receiving data for optimization from the one or more databases;
calculating a cost of service or avoided cost for at least one of the plurality of customers or customer locations using at least one of the individualized energy usage data and a system generation cost at a nearest bus;
forecasting at least one of individualized demand by end-use or individualized demand by location for at least one of the plurality of customers or customer locations;
forecasting energy prices and energy costs;
optimizing energy distribution, energy use, the cost of service, or avoided cost using at least one of;
the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs; and
wherein interaction between the calculating, forecasting and optimizing allows management and dispatch of end-uses and energy supply at a micro level in near real-time.
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Accused Products
Abstract
An energy distribution may include a server and one or more databases. The system may communicate with an energy provider to receive energy provider data, at least one information collector to receive information collector data such as individualized energy usage data, customer preferences, and customer or location characteristics, and the one or more databases for receiving data for optimization. The system may calculate a cost of service or avoided cost using at least one of the individualized energy usage data and a system generation cost at a nearest bus. The system may also forecast individualized demand by end-use, individualized demand by location, energy prices, or energy costs. The system may optimize energy distribution, energy use, cost of service, or avoided cost using the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs.
684 Citations
59 Claims
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1. A system for near real-time, micro level energy optimization, the system comprising:
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a server; one or more databases; the server executing, at least in near real-time, a method comprising; communicating with an energy provider, wherein the energy provider supplies energy to a plurality of customers or customer locations; receiving energy provider data from the energy provider; communicating with at least one information collector; receiving information collector data comprising at least one of individualized energy usage data, customer preferences, and customer or location characteristics from the at least one information collector; communicating with the one or more databases; receiving data for optimization from the one or more databases; calculating a cost of service or avoided cost for at least one of the plurality of customers or customer locations using at least one of the individualized energy usage data and a system generation cost at a nearest bus; forecasting at least one of individualized demand by end-use or individualized demand by location for at least one of the plurality of customers or customer locations; forecasting energy prices and energy costs; optimizing energy distribution, energy use, the cost of service, or avoided cost using at least one of;
the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs; andwherein interaction between the calculating, forecasting and optimizing allows management and dispatch of end-uses and energy supply at a micro level in near real-time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45)
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46. A method for near real-time, micro level energy optimization, the method comprising:
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communicating, by a processor in near real-time, with an energy provider, wherein the energy provider supplies energy to a plurality of customers or customer locations; receiving, by a processor in near real-time, energy provider data from the energy provider; communicating, by a processor in near real-time, with at least one information collector; receiving, by a processor in near real-time, information collector data comprising at least one of individualized energy usage data, customer preferences, and customer or location characteristics from the at least one information collector; communicating, by a processor in near real-time, with one or more databases; receiving, by a processor, data for optimization from the one or more databases; calculating, by a processor in near real-time, a cost of service or avoided cost for at least one of the plurality of customers or customer locations using at least one of the individualized energy usage data and a system generation cost at a nearest bus; forecasting, by a processor in near real-time, at least one of individualized demand by end-use or individualized demand by location for at least one of the plurality of customers or customer locations; forecasting, by a processor in near real-time, energy prices and energy costs; optimizing, by a processor in near real-time, energy distribution, energy use, the cost of service, or avoided cost using at least one of;
the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs;sending instructions, by a processor in near real-time, for enacting results of the optimizing; and wherein interaction between the calculating, forecasting and optimizing allows management and dispatch of end-uses and energy supply at a micro level in near real-time. - View Dependent Claims (47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59)
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Specification