US 8,364,609 B2Granted

Optimization of microgrid energy use and distribution

AssigneeIntegral Analytics, Inc.

InventorMichael T. Ozog

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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.

Claims60

Dependent claims

A system for energy optimization, the system comprising:

a server configured to:
receive information collector data from at least one information collector, the information collector data comprising individualized energy usage data regarding energy use of electrical devices of at least one of a plurality of customers or customer locations;
forecast individualized demand by electrical device and individualized demand by location for at least one of the plurality of customers or customer locations using the individualized energy usage data;
determine an optimized energy distribution by minimizing a total system peak demand during a time period over the plurality of customers or customer locations utilizing a constraint of end-use requirements and total demand for each of the plurality of customers or customer locations, the minimizing by calculating at least a fraction over the time period to supply energy by electrical device and the plurality of customers or customer locations that minimizes the total system peak demand during the time period utilizing a constraint of the forecasted individualized demand by electrical device and the forecasted individualized demand for each of the plurality of customers or customer locations;
and
produce instructions for controlling energy use of electrical devices of the at least one of the plurality of customers or customer locations based on the determined optimized energy distribution,
wherein the system is configured to determine the optimized energy distribution using the forecasted individualized demand by electrical device, the forecasted individualized demand by location, and a real power of each end-use for the plurality of customers or customer locations, and
wherein the system is configured to determine the optimized energy distribution represented at least partially as:
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109 more elements

A system for energy optimization, the system comprising:

a server configured to:
receive information collector data from at least one information collector, the information collector data comprising individualized energy usage data regarding energy use of electrical devices of at least one of a plurality of customers or customer locations;
forecast 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 or a system generation cost at a bus nearest to the at least one of the plurality of customers or customer locations;
forecast individualized demand by location for at least one of the plurality of customers or customer locations using the individualized energy usage data;
determine an optimized energy distribution by determining a supply of energy to each of the plurality of customers or customer locations for a period of time from the distributed generation and distributed storage system that maximizes revenue less the cost of services or avoided cost utilizing constraints of:
the energy rates,
the forecasted individualized demand by each of the plurality of customers or customer locations,
the power from the energy distribution system, the distributed storage, and the distributed generation,
the power from the distributed generation sent out to the distributed storage for storage,
the power generation from the distributed generation,
the storage level of the distributed storage,
the power sent from the energy distribution system to the distributed storage for storage,
the initial storage level of the distributed storage, and
the capacity of the distributed storage;
and
produce instructions for controlling energy use of electrical devices of the at least one of the plurality of customers or customer locations based on the determined optimized energy distribution,
wherein the system is configured to determine the optimized energy distribution represented at least partially as:
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Where:
Rit is a cost charged to customer i in time t for energy
Dmdit is demand for energy for customer i at time t
Xit is a fraction of period t to supply energy to customer i
LMPt is Locational Marginal Cost at a distributed storage and a distributed generation
BtGt is sales of power at time t from distributed storage to an energy distribution system
PVtGt is sales of power at time t from the distributed generation to the energy distribution system
Iit is an incentive offered by the energy provider to customer i to curtail customer power during time t
COSit is a cost to serve adder associated with moving electricity from a substation to customer i during period t
GtCit, BtCit, and PVtCit, are the power from the energy distribution system, the distributed storage, and the distributed generation, respectively, to meet customer i's demand during period t
PVBt is power from the distributed generation sent out to the distributed storage for storage at time t
PVGent is power generation from the distributed generation at time t
BattLvlt is a storage level of the distributed storage at time t
GtBt is power sent from the energy distribution system to the distributed storage for storage at time t
BattLvlt=0 is an initial storage level of the distributed storage set to a value K
BattCap is the capacity of the distributed storage.

213 more elements

A system for energy optimization, the system comprising:

a server;
one or more databases in communication with the server;
the server is configured to:
receive information collector data from at least one information collector, the information collector data comprising near-real time individualized energy usage data for each of a plurality of customers or customer locations;
calculate a cost of service for each of the plurality of customers or customer locations based on at least one of:
individualized energy usage data and at least one of a system generation cost for an energy provider or a locational marginal price of electricity;
or
individualized energy usage data and characteristics of an electric distribution system used to supply power to each of the plurality of customers or customer locations,
further configured to:
assign an individualized relative marginal cost value for each of the customers or customer locations, wherein the relative marginal cost value indicates differences in cost of service for different customers or customer locations;
and
combine the relative marginal cost value with a weighted customer cost, wherein the weighted customer cost indicates an importance of a cost category for individual customers or customer locations;
forecast individualized energy usage for each of the plurality of customers or customer locations;
forecast customer specific cost of service for each of the plurality of customers or customer locations using the calculating results;
and
optimize, over a plurality of customers or customer locations, energy use and cost of service using the forecasted individualized energy usage and the forecasted customer specific cost of service.

13 more elements

A method for energy optimization, the method comprising:

receiving, by a processor, information collector data from at least one information collector, the information collector data comprising near-real time individualized energy usage data for each of a plurality of customers or customer locations;
calculating, by a processor, a cost of service for each of the plurality of customers or customer locations by at least one of:
individualized energy usage data and at least one of a system generation cost for an energy provider or a locational marginal price of electricity;
or
individualized energy usage data and characteristics of an electric distribution system used to supply power to each of the plurality of customers or customer locations, the calculating further comprising:
assigning an individualized relative marginal cost value for each of the customers or customer locations, wherein the relative marginal cost value indicates differences in cost of service for different customers or customer locations;
and
combining the relative marginal cost value with a weighted customer cost, wherein the weighted customer cost indicates an importance of a cost category for individual customers or customer locations;
forecasting, by a processor, individualized energy usage for each of the plurality of customers or customer locations;
forecasting, by a processor, customer specific cost of service for each of the plurality of customers or customer locations using the calculating results;
and
optimizing, by a processor, over a plurality of customers or customer locations, energy use and cost of service using the forecasted individualized energy usage and the forecasted customer specific cost of service.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 12/687,827Filed 14 Jan 2010 · us provisional application
Priority: 14 Jan 2009
Published: US 2010/0179704 A115 Jul 2010
Granted: 29 Jan 2013
Term ends: Not estimatedThe source records don’t support an estimate.

Classification28 codes

G06Q 30/06
Commerce: buying, selling or leasing transactions
G06Q 10/06315
Resource planning, allocation, distributing or scheduling for enterprises or organisations: needs-based resource requirements planning or analysis
G06Q 30/0283
Marketing; Price estimation or determination; Fundraising: price estimation or determination
G06Q 50/06
Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g.…:…