8502results about "Systems intergating technologies" patented technology

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.

A system uses an intelligent load controller for managing use of a consumable resource at an associated load. The controller has a resource measuring component for measuring the rate of use of the resource by the associated load, including measuring at least one of an instantaneous usage rate and a usage rate over an integration period and a load status component for receiving load status data for the associated load. The controller also has a communication component for receiving control messages from and sending load status messages to other associated controllers; a memory for storing a load control goal set; and a load control computer program responsive to the resource measuring component, the load status component, the control messages from other associated controllers and the load control goal set, to determine a load operating level for, and provide control commands to, the associated load.

Solar power systems and structures are mountable to a power distribution structure, e.g. a power pole or tower, which supports alternating current (AC) power transmission lines. An exemplary power generation structure is fixedly attached to and extends from the power distribution structure, and comprises a mounting rack. A solar array, comprising at least one solar panel, is affixed to the mounting rack. A DC to AC invertor is connected between the DC outputs of the solar array and the AC power transmission lines. The length of the solar array is generally in alignment with the power distribution structure, and the width of the solar array is greater than half the is circumference of the power distribution structure. The mounting rack and solar array may preferably be rotatable, such as based on any of location, time of day, or available light.

A “Smart Grid Pricer” enables automated balancing of the supply and demand of energy supply and consumption, such as the generation and consumption of electricity between electricity providers and electricity consumers. The Smart Grid Pricer automatically computes and delivers real-time energy pricing information to consumers on behalf of energy retailers (e.g., electricity utilities) to help drive the balance of demand with supply. In various embodiments, real-time pricing is determined by using various probabilistic models to estimate overall consumer demand as a function of factors such as energy price, time of day, region, weather, etc. to compute a price that will result in an energy demand that is closely balanced to the available supply. On the consumer side, various components of the Smart Grid Pricer automatically respond to such pricing information to optimize energy consumption in accordance with a variety of automated and / or user defined rules and preferences.

A method and system for controlling distributed energy resources is provided. Notification of an upcoming regional power distribution event is received and a distributed energy resource affected by the upcoming event is determined or identified. A first notification message is sent to an affected distributed energy resource asset owner or other administrator to notify the distributed energy resource asset of the event. An event data process is initiated to monitor and collect data associated with the event and an event control process is initiated to control one or more affected distributed energy resource asset during the event. The event control process and the event data process are terminated at the end of the event.

A combiner box is used to collect direct current from solar panels or other energy sources. The combiner box integrates all means necessary for ground fault detection, current monitoring, voltage monitoring, and power monitoring. The combiner box may include a communication interface suitable for Web enabled monitoring, electronic notifications of system status, and / or remote control of system functions. In one embodiment, the combiner box uses integrated circuits and printed circuit board technology to achieve new efficiencies in manufacturing, installation and system analysis at the string level. A separate hand piece may be used by installers to test the performance of the combiner box, installation of the solar panels, performance of the solar panels and connections between the solar panels and the combiner box.

An energy management system uses an expert engine and a numerical solver to determine an optimal manner of using and controlling the various energy consumption, producing and storage equipment in a plant / communities in order to for example reduce energy costs within the plant, and is especially applicable to plants that require or that are capable of using and / or producing different types of energy at different times. The energy management system operates the various energy manufacturing and energy usage components of the plant to minimize the cost of energy over time, or at various different times, while still meeting certain constraints or requirements within the operational system, such as producing a certain amount of heat or cooling, a certain power level, a certain level of production, etc. In some cases, the energy management system may cause the operational equipment of the plant to produce unneeded energy that can be stored until a later time and then used, or that can be sold back to a public utility, for example, so as to reduce the overall cost of energy within the plant.

Embodiments of the present invention assist customers in managing the four types of energy assets, that is, generation, storage, usage, and controllable load assets. Embodiments of the present invention for the first time develop and predict a customer baseline (“CBL”) usage of electricity, using a predictive model based on simulation of energy assets, based on business as usual (“BAU”) of the customer's facility. The customer is provided with options for operating schedules based on algorithms, which allow the customer to maximize the economic return on its generation assets, its storage assets, and its load control assets. Embodiments of the invention enable the grid to verify that the customer has taken action to control load in response to price. This embodiment of the invention calculates the amount of energy that the customer would have consumed, absent any reduction of use made in response to price. Specifically, the embodiment models the usage of all the customer's electricity consuming devices, based on the customer's usual conditions. This model of the expected consumption can then be compared to actual actions taken by the customer, and the resulting consumption levels, to verify that the customer has reduced consumption and is entitled to payment for the energy that was not consumed.

A system for characterizing malicious activity in an intelligent utility grid system includes a system storage in which to store a database including a plurality of rules. A collector is operable to collect and store in the system storage information-technology (IT) data including IT-related activity from the intelligent grid system. A complex event processing (CEP) bus is operable to receive non-IT data including location-specific event data from a plurality of electronic sources, the CEP bus further operable to disregard the non-IT data failing to meet a predetermined level of relevance to one of a plurality of risk-related events. A processor is operable to apply the plurality of rules to the relevant non-IT data to: associate an undesired event with reference to the IT-related activity; and determine a probability that the undesired event is indicative of malicious activity. The processor further applies a risk characterization to the undesired event based on the probability and the IT-related activity.

A method and system are associated with distributed generation of electric power. Power demand data of at least one electric power consumer is monitored over time. Power supply data of a regional power distribution system is also monitored over time. The power demand data and the power supply data are analyzed to coordinate control of at least one distributed generation system associated with the electric power consumer.

The power of DC electrical sources is combined onto a DC buss, such that each source behaves independently from any other source attached to the buss. In one embodiment, a converter module is attached to each of a plurality of solar photovoltaic panels and its output is attached in a parallel manner to a common buss that forms the input to a DC AC inverter. The converter module includes a Maximum Power Point Tracking component that matches the output impedance of the panels to the input impedance of the converter module. The converter also includes a communication component that provides parametric data and identification to a central inverter. Data generated by each converter module is transmitted over the power line or by wireless means and is collected at the inverter and forwarded to a data collection and reporting system.

Apparatuses and methods include a photovoltaic energy production unit to generate electricity. A local management unit is coupled between the photovoltaic energy production unit and a connection of energy production units forming a string bus. The local management unit includes a controller and switching circuitry. The controller provide a control for the switching circuitry to deliver electrical energy to the string bus. A communication transmission modulator is associated with the local management unit. The communication transmission modulator modulates the control with data to be transmitted from the local management unit over the string bus.

A utility employs a method for estimating available operating reserve. Electric power consumption by at least one device serviced by the utility is determined during at least one period of time to produce power consumption data. The power consumption data is stored in a repository. A determination is made that a control event is to occur during which power is to be reduced to one or more devices. Prior to the control event and under an assumption that it is not to occur, power consumption behavior expected of the device(s) is estimated for a time period during which the control event is expected to occur based on the stored power consumption data. Additionally, prior to the control event, projected energy savings resulting from the control event are determined based on the devices' estimated power consumption behavior. An amount of available operating reserve is determined based on the projected energy savings.

The present disclosure provides for distributed resource scheduling performed by an advanced resource scheduling (ARS) module implemented on a distributed grid management (DGM) server in a power system. The ARS module is configured to automatically generate a resource schedule for controllable distributed energy resources (e.g., resources that are remotely controllable by DGM server and ARS module) in a distribution network of the power system, such as power generation resources and energy storage resources, to provide power in a cost-effective (e.g., optimal) manner. The ARS module is configured to take into account the operating limits of the distributed energy resources (DERs), the cost curves of the DERs, the system load demand, and other operating constraints to determine the most economical operating plan for the DERs, using an optimization technique such as the particle swarm optimization (PSO) algorithm.

Automatically determining issues associated with a photovoltaic (PV) system. Information regarding the PV system may be stored. The information may include logical information regarding a logical configuration of the PV system and physical information regarding a physical layout of the PV system. Measurement data regarding the PV system may be received. The measurement data regarding the PV system may be automatically analyzed using the logical information and the physical information. An indication of any issues determined by said analyzing may be automatically provided.

A grid-connected photovoltaic electrical power system with both array level and string level remote monitoring and production and efficiency analysis capabilities. The inventive system includes an array level monitoring component, software for recording and analyzing data obtained through the array level monitoring component, and a string level monitoring component.

The power flexibility of energy loads is maximized using a value function for each load and outputting optimal control parameters. Loads are aggregated into a virtual load by maximizing a global value function. The solution yields a dispatch function providing: a percentage of energy for each individual load, a time-varying power level for each load, and control parameters and values. An economic term represents the value of the power flexibility to different players. A user interface includes for each time interval upper and lower bounds representing respectively the maximum power that may be reduced to the virtual load and the maximum power that may be consumed. A trader modifies an energy level in a time interval relative to the reference curve for the virtual load. Automatically, energy compensation for other intervals and recalculation of upper and lower boundaries occurs. The energy schedule for the virtual load is distributed to the actual loads.

If the energy service enterprise is responsible for paying costs for applying energy-saving measures to the object facilities, measures the energy consumption after taking the energy-saving measures, calculates the amount of curtailed energy cost by comparing the measured value with the energy consumption before taking the energy-saving measures previously stored in the database, and receives at least a part of the curtailed amount, the customer is not required to plan equipment investment in energy-saving measures and collection thereof. Introduction of the energy-saving measures is thus made easier.

A PeakPower Energy Management and Control System having one or more roll-lock snap-on current transformer power monitoring devices, each to avoid interrupting power when installing current and / or power monitors. Each roll-lock snap-on current transformer power monitoring device may be snapped onto existing power wires inside a power panel or near equipment being monitored without disconnecting any wires or turning off power. Each roll-lock snap-on current transformer power monitoring device may be utilized in standalone mode as well as within a PeakPower Energy Management and Control System in accordance with disclosed embodiments. Each roll-lock snap-on current transformer power monitoring device may communicate via the power lines (Power Line Controller) or communicate via wireless using an integrated microprocessor based RF transceiver.

A renewable energy resource management system manages a delivery of a power requirement from a multi-resource offshore renewable energy installation to an intelligent power distribution network. The installation includes multiple renewable energy resource components and is capable of variably and independently generating power from each to microgrids comprising the intelligent power distribution network so that the entire power requirement is satisfied from renewable energy resources. An electricity grid infrastructure is also disclosed in which power production is balanced with power consumption so that power storage requirements are minimized.

The power of DC electrical sources is combined onto a DC buss, such that each source behaves independently from any other source attached to the buss. In one embodiment, a converter module is attached to each of a plurality of solar photovoltaic panels and its output is attached in a parallel manner to a common buss that forms the input to a DC AC inverter. The converter module includes a Maximum Power Point Tracking component that matches the output impedance of the panels to the input impedance of the converter module. The converter also includes a communication component that provides parametric data and identification to a central inverter. Data generated by each converter module is transmitted over the power line or by wireless means and is collected at the inverter and forwarded to a data collection and reporting system.

System, methods and apparatus for coupling photovoltaic arrays are disclosed. The apparatus may include a first input adapted to couple to a neutral line of a first photovoltaic array; a second input adapted to couple to a neutral line of a second photovoltaic array; a contactor configured to switchably couple the neutral line of a first photovoltaic array to the a neutral line of a second photovoltaic array, the contactor being remotely controllable.

Apparatuses and methods for configuring and managing solar panels to form strings of photovoltaic energy generators with improved performance and reduced cost. The photovoltaic energy generators are connected via one or more combined local management units (CLMUs), each having a plurality of direct current converters connected to and configured to receive direct current power from a respective solar panel. A controller unit shared by the CLMU's direct current converters is utilized to separately control the operation of each converter such that the power extracted from the solar panels is maximized. A communications unit coupled with the controller unit is utilized to facilitate communications between the controller unit and a system unit remote from the CLMU to report measurements and receive control signals.

Automatic energy management is provided, in even the most complex multi-building system. The necessity of a human operator for managing energy in a complex, multi-building system is reduced and even eliminated. Computer-based monitoring and computer-based recognition of adverse energy events (such as the approach of a new energy peak) is highly advantageous in energy management. Immediate automatic querying of energy users within a system of buildings for energy curtailment possibilities is provided. Such immediate, automatic querying may be answered by the energy users through artificial intelligence and / or neural network technology provided to or programmed into the energy users, and the queried energy users may respond in real-time. Those real-time computerized responses with energy curtailment possibilities may be received automatically by a data processing facility, and processed in real-time. Advantageously, the responses from queried energy users with energy curtailment possibilities may be automatically processed into a round-robin curtailment rotation which may be implemented by a computer-based control system. Thus, impact on occupants is minimized, and energy use and energy cost may be beneficially reduced in an intelligent, real-time manner. The invention also provides for early-recognition of impending adverse energy events, optimal response to a particular energy situation, real-time analysis of energy-related data, etc.

An Energy and Cost Savings Calculation System is provided that automates the determination of energy and cost savings due to energy conservation measures. The system provides Multi-Variant, Non-Linear (MVNL) load forecasting techniques, energy and cost savings calculations, and Weather Ranking. The load forecasting technique may accept numerous external parameters as input. The technique may use multiple Baselines. It may also use multiple Basic Reference Periods to reduce the load forecasting error. The load forecasting technique may utilize external parameters that are updated on a daily basis, such as dry bulb temperature, dew point temperature, solar condition, and interval meter data. The technique may use Baseline Extensions to perform forecasts and Reference Period Modifications to enhance accuracy. The system may calculate energy and cost savings using Complex Rates and time-of-use (TOU) energy data. The system may rank a plurality of sources providing weather data to identify the most accurate weather data.

A computer-implemented method of operating a wireless intelligent solar power reader (WISPR) module includes receiving a command from an external device, the command requesting an output power reading from a photovoltaic (PV) module and transmitting the output power request to the photovoltaic module. The WISPR Module receives the output power reading from the photovoltaic module and transmits the output power reading to the external device. In an embodiment of the invention, the command also requests meteorological information from a weather instrument located in proximity to the WISPR module and the WISPR modules transmit the meteorological request to the weather instrument. The WISPR module receives the meteorological reading from the weather instrument and transmits the meteorological reading to the external device.

Systems and methods for managing power supplied over an electric power grid by an electric utility and / or other market participants to multiple power consuming devices, each of which having a Power Supply Value (PSV) associated with its energy consumption and / or reduction in consumption. Power flow to the power consuming devices is selectively enabled and disabled, or power-reduced thereto, by one or more controllable devices controlled by the client device. Power control messages from a controlling server indicate amounts of electric power to be reduced and an identification of at least one controllable device to be instructed to disable or reduce a flow of electric power to one or more associated power consuming devices.