Patent classifications
H02J3/003
Building energy storage system with planning tool
An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period.
Building energy optimization system with capacity market program (CMP) planning
A method for generating an optimal nominated capacity value for participation in a capacity market program (CMP) includes generating, by a processing circuit, an objective function comprising a nominated capacity term, wherein the nominated capacity term indicates a nominated capacity value, wherein the nominated capacity value is a curtailment value that a facility is on standby to reduce its load by in response to receiving a dispatch from a utility. The method includes optimizing, by the processing circuit, the objective function to determine the optimal nominated capacity value for a program operating period and transmitting, by the processing circuit, the optimal nominated capacity value to one or more systems associated with the CMP to participate in the CMP.
SYSTEMS AND METHODS FOR DETERMINING AND UTILIZING CUSTOMER ENERGY PROFILES FOR LOAD CONTROL FOR INDIVIDUAL STRUCTURES, DEVICES, AND AGGREGATION OF SAME
A system and method for creating and making use of customer profiles, including energy consumption patterns. Devices within a service point, using the active load director, may be subject to control events, often based on customer preferences. These control events cause the service point to use less power. Data associated with these control events, as well as related environment data, are used to create an energy consumption profile for each service point. This can be used by the utility to determine which service points are the best targets for energy consumption. In addition, an intelligent load rotation algorithm determines how to prevent the same service points from being picked first each time the utility wants to conserve power.
System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management
Systems for providing operating reserves to an electric power grid are disclosed. In one embodiment, a system comprises at least one power consuming device, at least one controllable device, and a client device constructed and configured in network communication. The at least one controllable device is operably coupled to the at least one power consuming device. The at least one controllable device is operable to control a power flow from the electric power grid to the at least one power consuming device responsive to power control instructions from the client device. Each of the at least one power consuming device has an actual value of power reduced and/or to be reduced based on revenue grade metrology, and confirmed by measurement and verification. The actual value of power reduced and/or to be reduced is a curtailment value as supply equivalence and provides operating reserve for the electric power grid.
ORCHESTRATED ENERGY
A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.
OPTIMAL CONTROL TECHNOLOGY FOR DISTRIBUTED ENERGY RESOURCES
Devices and methods of allocating distributed energy resources (DERs) to loads connected to a microgrid based on the cost of the DERs are provided. The devices and methods may determine one or more microgrid measurements. The devices and methods may determine one or more real-time electricity prices associated with utility generation sources. The devices and methods may determine one or more forecasts. The devices and methods may determine a cost associated with one or more renewable energy sources within the microgrid. The devices and methods may determine an allocation of the renewable sources to one or more loads in the microgrid.
Demand monitoring device, demand monitoring system, demand monitoring method, and demand monitoring program
A demand monitoring device which monitors an amount of electric power received by a consumer includes: a prediction unit predicting, every demand period, received electric power in the object demand period on the basis of at least one of demand electric power, generated electric power, and received electric power at a time previous to the demand period, a known schedule of the consumer in the demand period, and weather information; a creation unit creating a graph showing an amount of electric power received by the consumer until a current time, a predicted value for an amount of received electric power from the current time onward, the predicted value being predicted by the prediction unit, and a target electric power amount based on contract electric power of the consumer; and a display control unit displaying the graph created by the creation unit, on a screen of a display device.
BUILDING ENERGY OPTIMIZATION SYSTEM WITH ECONOMIC LOAD DEMAND RESPONSE (ELDR) OPTIMIZATION AND ELDR USER INTERFACES
An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.
Prediction system and prediction method
Provided is a prediction system for calculating a prediction value related to a prediction target to which prediction in an arbitrary period is adapted. The prediction system includes a storage device which records a plurality of data used to calculate the prediction value and a control device which includes a predetermined operation model and applies the plurality of data to the operation model to calculate the prediction value. The control device changes the operation model, on the basis of information of respective temporal attributes of the plurality of data.
System operation support device and method in power system, and wide-area monitoring protection control system
A system operation support device in a power system stabilizes the power system and has a predicted accident time system state calculation unit that receives measured data, a system topology, and a target accident type as inputs, and calculates a system state and a predicted accident time system state. A control menu calculation unit receives the results of the predicted accident time system state as inputs and calculates a control menu. A restoration control means calculation unit receives the result of the control menu calculation as an input and calculates a restoration control procedure. A restoration prevention control procedure calculation unit receives the result of the restoration control and a target restoration time parameter as inputs and performs a power generator output adjustment time simulation, a necessary prevention control amount calculation, and a prevention control procedure calculation. A display unit displays the restoration control procedure and the prevention control procedure.