1105results about "Generation forecast in ac network" patented technology

A system with automatic control of local generation, consumption, storage, buying, and selling of electrical energy is provided. This automation can be governed by optimization criteria and policies established by the administrative entity responsible for the domain benefiting from this invention. The control method, using a data processing computer, implements the optimization criteria and provides near real time directives for the system. The control program estimates energy generation and consumption, monitors voltage and power levels, configures the power circuit and adjusts device specific controls over a network. Depending on a specific situation, the control program can continue to store extra energy, sell energy for a financial gain, maximize sustainable generation to meet social obligations, or increase consumption for extra comfort. This control program optimizes on multiple time granularities under a variable pricing scheme and environmental conditions, with related information including weather forecasts accessed over the Internet.

An intelligent user-side power management device (PMD) that is comprised of an optional energy storage unit and can interface with a utility grid or microgrid to eliminate power theft and efficiently provide clean energy to the users of the grid while helping the grid to do smart demand response management, particularly for renewable energy based grids that need to efficiently manage the slack due to the large variability in power generation through these energy sources.

A utility employs an active load management system (ALMS) to estimate available operating reserve for possible dispatch to the utility or another requesting entity (e.g., an independent system operator). According to one embodiment, the ALMS determines amounts of electric power stored in power storage devices, such as electric or hybrid electric vehicles, distributed throughout the utility's service area. The ALMS stores the stored power data in a repository. Responsive to receiving a request for operating reserve, the ALMS determines whether the stored power data alone or in combination with projected energy savings from a control event is sufficient to meet the operating reserve requirement. If so, the ALMS dispatches power from the power storage devices to the power grid to meet the operating reserve need. The need for operating reserve may also be communicated to mobile power storage devices to allow them to provide operating reserve as market conditions require.

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.

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.

This invention is a server for calculating a value of a power generated by distributed power generation with a small environmental load. The server has a function of receiving power information on a distributed power-generation facility transmitted through a network from an information terminal possessed by at least one of a holder of the distributed generation facility, a power manager of the distributed generation facility, and a trader brokering power related payment of the holder of the distributed generation facility, a function of accumulating the received power information, directly inputted power information, and value information used for determining a value of the power, and an arithmetic function of calculating the value of the power from the power information and value information.In a distributed power generation management system, the value of the power generated by using natural energy is calculated and evaluated so as to expedite introduction of the generation facility using natural energy.

Systems and methods for local and master management units in a photovoltaic energy system. In one embodiment, a method implemented in a computer system includes sending a first identification code from a local management unit to a master management unit. The first identification code is associated with the first local management unit, and the local management unit controls a solar module. An authentication of the first identification code is received from the master management unit. In response to receiving the authentication, active operation of the local management unit is continued (e.g., for a set time period).

Systems and methods for local and master management units in a photovoltaic energy system. In one embodiment, a method implemented in a computer system includes sending a first identification code from a local management unit to a master management unit. The first identification code is associated with the first local management unit, and the local management unit controls a solar module. An authentication of the first identification code is received from the master management unit. In response to receiving the authentication, active operation of the local management unit is continued (e.g., for a set time period).

Methods and apparatus associated with monitoring and controlling streetlights include monitoring light levels and voltage levels at corresponding streetlights and controlling the streetlights to set or maintain a particular light output at the respective streetlights or providing power consumption estimates for respective streetlights (streetlight specific metering) based on the voltage levels and light levels. A streetlight controller for a streetlight includes a microcontroller; a first sensor to sense a light level from a lamp within the streetlight; a second sensor operative to sense a voltage level on a power supply for the streetlight; and a switching network coupled with the microcontroller and operative to adjust the light level of the lamp. Methods includes monitoring a light level and voltage level and adjusting a light level, estimating power consumption, or facilitating maintenance in accordance with the light level and voltage level. The methods may be performed all or in part at a streetlight, a local gateway or a central controller and database.

An operation management apparatus includes an air conditioning thermal load prediction unit configured to calculate an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature on a day-of-prediction, a power generation output prediction processing unit configured to calculate power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction, and an operation planning unit configured to prepare an air conditioning heat source operation plan, and determines a purchased power and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.

An electric-power-generating-facility operation management support system includes a condition-input unit inputting costs of electric power generation in electric power generating facilities, probability distribution of predicted values of the demand for electric power, and probability distribution of predicted values of the transaction price of power on the market. An optimal-operational-condition calculating unit calculates the performance of power generation of the power generating facilities based upon the costs of power generation, the probability distribution of predicted values of the demand for power and the probability distribution of predicted values of the transaction price of power on the market, input from the condition-input unit so as to obtain the optimal operational conditions which exhibit the maximum performance of power generation A risk estimating unit calculates and estimates a risk value of damage of the optimal operation under the optimal operational conditions. A calculation-result display unit displays the optimal operational conditions and the risk-estimation results.

A system, method and computer program product to assist in managing the physical plant mechanisms and market finances for a deregulated electricity grid or regulated utility grid, populated with solar electric generation capacity. This system provides tools to assist grid operators in the scheduling and dispatch of generation resources in an electrical grid populated with solar electric generation capacity, a week in advance, on an hourly basis. It also provides tools to assist companies engaged in generation, distribution and energy marketing, in the electrical power industry, to manage their contractual supply obligations in the day-ahead hourly wholesale market and the spot market, in an electrical grid populated with solar electric generation capacity. This process can also be used to predict solar loading of building structures, using forecast irradiance data as inputs to common building energy modeling programs, a week in advance, on an hourly basis.

The invention relates to a method of coordinating and stabilizing the delivery of wind generated power, such as to a power grid, so as to avoid sudden surges and spikes, despite wind speed fluctuations and oscillations. The method preferably uses a plurality of windmill stations, including a number of immediate use stations, energy storage stations, and hybrid stations, wherein energy can be used directly by the power grid, and stored for later use when demand is high or wind availability is low. The method contemplates forming an energy delivery schedule, to coordinate the use of direct energy and energy from storage, based on daily wind speed forecasts, which help to predict the resulting wind power availability levels for the upcoming day. The schedule preferably sets a reduced number of constant power output periods during the day, during which time energy delivery levels remain substantially constant, despite fluctuations and oscillations in wind speed and wind power availability levels.

A computer processor implemented method of measuring, monitoring, comparing and diagnosing the power generated of at least two renewable power systems provided to at least two consumers and alerting at least one of consumers in the event of comparative underperformance, the method taking into account at least two diagnostic variables including weather and the renewable power system cover status (such as covered by snow), wherein the at least one data server determines comparative information for a predetermined geographic area based upon at least two diagnostic variables, and at least two normalized performances to provide a comparative value; and informing the consumer of the comparative value in the event of an underperforming comparative value.

An apparatus, including a plurality of devices, a network operations center (NOC), and a plurality of control nodes. Each of the plurality of devices consumes a portion of the resource when turned on, and performs a corresponding function within an acceptable operational margin by cycling on and off. The NOC is disposed external to the facility, and generates a plurality of run time schedules that coordinates run times for the each of the plurality of devices to control the peak demand of the resource. Each of the plurality of control nodes is coupled to a corresponding one of the plurality of devices. The plurality of control nodes transmits sensor data and device status to the NOC via the demand coordination network for generation of the plurality of run time schedules, and executes selected ones of the run time schedules to cycle the plurality of devices on and off.

Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance, and the integration of this methodology into solar irradiance estimation models.

There is provided an electric power generation amount estimation device, including a solar power generation device identification portion that identifies a solar power generation device that generates electric power by receiving irradiation of sunlight, a sunlight amount calculation portion that estimates and calculates an amount of sunlight, and an electric power generation amount calculation portion that calculates an amount of electric power to be generated by the solar power generation device, based on information about the solar power generation device identified by the solar power generation device identification portion and about the amount of sunlight calculated by the sunlight amount calculation portion.

Embodiments relate to a method and system for power demand shaping (PDS) so as to manage power generation and use. Specific embodiments relate to data center power demand shaping to achieve high-performance low-overhead data center operation. Specific embodiments can incorporate standard (utility power) energy sources, renewable energy sources, or a combination of standard (utility power) energy sources and renewable energy sources. Embodiments of the subject PDS techniques can incorporate trimming the data center load power so as to allow DG systems to follow the power demand efficiently and / or incorporate two adaptive load tuning schemes that can boost data center performance and enable near-oracle operation during power demand trimming process. To implement a cross-layer power optimization scheme, embodiments of the subject invention relate to a power management module that can reside between front-end distributed generation and back-end computing facilities to provide a coordinated tuning between the supply and load.

The invention relates to a method of coordinating and stabilizing the delivery of wind generated power, such as to a power grid, so as to avoid sudden surges and spikes, despite wind speed fluctuations and oscillations. The method preferably uses a plurality of windmill stations, including a number of immediate use stations, energy storage stations, and hybrid stations, wherein energy can be used directly by the power grid, and stored for later use when demand is high or wind availability is low. The method contemplates forming an energy delivery schedule, to coordinate the use of direct energy and energy from storage, based on daily wind speed forecasts, which help to predict the resulting wind power availability levels for the upcoming day. The schedule preferably sets a reduced number of constant power output periods during the day, during which time energy delivery levels remain substantially constant, despite fluctuations and oscillations in wind speed and wind power availability levels.

The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm. The invention can provide load dispatch scheme suitable for current microgrid and reduce operating cost of residential microgrid.

An output of a photovoltaic (PV) device is predicted by applying Fourier analysis to historical data to obtain frequencies and a mean of the frequencies in the data. Regression analysis is applied to the data to obtain a regression coefficient. Then, the prediction is a sum of the mean at the time step and a deviation from the mean at a previous time step, wherein the means are represented and approximated by selected frequencies, and the deviation for the previous time step is weighted by the regression coefficient.

A system, method and computer program product to assist in managing the physical plant mechanisms and market finances for a deregulated electricity grid or regulated utility grid, populated with solar electric generation capacity. This system provides tools to assist grid operators in the scheduling and dispatch of generation resources in an electrical grid populated with solar electric generation capacity, a week in advance, on an hourly basis. It also provides tools to assist companies engaged in generation, distribution and energy marketing, in the electrical power industry, to manage their contractual supply obligations in the day-ahead hourly wholesale market and the spot market, in an electrical grid populated with solar electric generation capacity. This process can also be used to predict solar loading of building structures, using forecast irradiance data as inputs to common building energy modeling programs, a week in advance, on an hourly basis.

A whole-life-cycle power output classification prediction system for photovoltaic systems. The power output classification prediction system comprises a basic information storage module, a database module, a prediction model judgment module, a prediction data pre-processing module and a prediction modeling module. The system selects different prediction models to carry out training and predication according to acquired data types and operation time of the photovoltaic system, is a modularized and multi-type photovoltaic system output power prediction system, can be suitable for output power prediction requirements of a majority of photovoltaic systems at present, can carry out customization according to the scale of the photovoltaic system, user requirements, etc., can both meet economic requirements and reliability requirements, and has good adaptability and transportability. The prediction method can update automatically. The prediction system can carry out automatic operation management. And relatively high prediction precision and stability are achieved.

Disclosed is a method for modeling a medium and long term wind power output model optimally operating in a medium and long term in a power system. By calculating the wind power output of the power system during daily peak time period, daily valley time period, and daily shoulder load time period, and optimizing wind power output data during the daily shoulder load time period, the capacity substitute benefit of wind power generation is rationally taken into account, the operation reliability level of the power system is guaranteed, the bidirectional peak regulation characteristic of wind power output is considered, the peak regulation balance of the power system is guaranteed, the benefits of energy conservation and emission reduction of wind power resources are fully exerted, the highest utilization rate of the wind power generation capacity is guaranteed, the feature of low wind power schedulability is fully taken into account, the randomness and volatility of wind power output are correctly simulated, the practical situation of a simulation project optimally operating in a medium and long term in the power system is met, and the purpose of better calculating the randomness, the volatility, the regionalism and bidirectional peak regulation performance of wind power generation and a correlation between same and loads is achieved.

A supervisory system controller for controlling and monitoring the generation of electrical energy from renewable sources and management methods for the storage of energy so generated and interconnecting the energy-generating elements, storage and load. The supervisory system controller operates to maximum the power transfer from a wind turbine to a battery by automatically varying the threshold levels at which turbine dump loads are switched based on system inputs and measurements. The method conserves generator fuel by delaying a scheduled generator maintenance running period such that it to occurs when renewable energy availability is predicted to be low and battery is in a reduced state of charge. Further modifications and management methods are also provided.

Embodiments relate to a method and system for power demand shaping (PDS) so as to manage power generation and use. Specific embodiments relate to data center power demand shaping to achieve high-performance low-overhead data center operation. Specific embodiments can incorporate standard (utility power) energy sources, renewable energy sources, or a combination of standard (utility power) energy sources and renewable energy sources. Embodiments of the subject PDS techniques can incorporate trimming the data center load power so as to allow DG systems to follow the power demand efficiently and / or incorporate two adaptive load tuning schemes that can boost data center performance and enable near-oracle operation during power demand trimming process. To implement a cross-layer power optimization scheme, embodiments of the subject invention relate to a power management module that can reside between front-end distributed generation and back-end computing facilities to provide a coordinated tuning between the supply and load.

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.

Systems and methods for interfacing renewable power sources to a power grid are provided. In certain systems and methods, at least one weather condition that may affect the power output of a renewable power source is identified. A potential impact of the identified at least one weather condition on the renewable power source is determined. Historical data associated with the impact of at least one prior weather condition on the renewable power source is accessed. An output of the renewable power source that is supplied to the power grid is adjusted based at least in part on the determined potential impact and the historical data.

An energy storage system and a method of controlling the energy storage system. The energy storage system includes a bidirectional inverter for outputting generation power of the power generation system and power of a battery to the grid, and an integrated controller for controlling an output power of the bidirectional inverter by using predicted generation power of the power generation system calculated based on weather such that charging or discharging of the battery is conducted while maintaining an allowable range of remaining battery capacity.