564 results about "Electrical grid" patented technology

The present application discloses a calculation method for multi-scale electric-carbon energy efficiency optimization for a power system, which includes designing a carbon flow calculation improvement model of the power system that takes into account a photovoltaic cluster auxiliary service, converting a power lossy transmission network of the power system equivalent to a lossless power consumption network, and calculating a carbon flow of the power system that takes into account a photovoltaic reactive power cluster auxiliary service; designing a decision-making system for low-carbon operation of the power system based on a coupling of electric-carbon energy efficiency, and calculating a correlation between electric quantity and the carbon flow of the power system that takes into account the photovoltaic cluster auxiliary service; the output varies in the range of 0-1, larger values represent a stronger correlation between electric-carbon energy efficiency.

The invention provides a high-voltage transmission line insulator defect detection method for unmanned aerial vehicle inspection. Firstly, by designing a multi-scale fusion and parameter sharing detection head, the feature fusion capability is effectively improved; secondly, an EMA attention mechanism is introduced, so that the model is more focused on information of a key area; the use of the depth separable convolution significantly reduces the parameter quantity and calculation complexity of the model. And finally, using Inner-IoU as a frame loss function, and more effectively improving the detection precision of the small target and enhancing the performance of the model in the aspect of prediction frame regression by focusing on the matching degree in the frame. The improved model can be used for accurately detecting the defects of the insulator, the detection precision is improved, and the operand of the model is effectively reduced through the lightweight design, so that the model provided by the invention is more suitable for being deployed to embedded equipment for real-time detection of the defects of the insulator, and the real-time detection of the defects of the insulator is facilitated. A new method is provided for the field of power transmission network insulator defect detection.

A power transmission network carbon emission accounting method based on a full life cycle theory. The method comprises: acquiring a bill of materials required in a production stage of a power transmission network device and carbon emission factors of materials corresponding to the bill of materials, constructing a carbon emission accounting model and calculating carbon emissions; acquiring transportation modes and carbon emission coefficients of related materials in the transportation and construction stages, constructing a model and calculating carbon emissions; establishing a model, which takes into consideration indirect carbon emissions generated due to line losses and carbon emissions generated during a replacement process related to conventional consumables and device failure, and calculating carbon emissions; constructing a carbon emission accounting model in the decommissioning and recycling stages, and calculating carbon emissions and carbon emission reductions generated in the stages; and performing accounting on carbon emissions throughout the full life cycle of a power transmission network, and calculating the carbon emission intensity. A carbon emission reduction effect of device recycling in a decommissioning stage is taken into consideration, the carbon emission intensity throughout the full life cycle of the power transmission network is calculated by means of a net power transmission capacity, and practical significance is given to a carbon emission target.

Described are aqueous rechargeable hydrogen batteries operating in the full pH range (e.g., pH: −1 to 15) with potential for electrical grid storage. The pH-universal hydrogen batteries operate with different redox chemistry on the cathodes and reversible hydrogen evolution / oxidation reactions (HER / HOR) on the anode. The reactions can be catalyzed by a highly active ruthenium-based electrocatalyst. The ruthenium-based catalysts exhibit comparable specific activity and superior long-term stability of HER / HOR to that of state-of-the-art Pt / C electrocatalyst in the full pH range. New chemistries for aqueous rechargeable hydrogen batteries are also provided.

The invention relates to the technical field of cable fault diagnosis and positioning, in particular to a cable fault positioning method and system based on multi-source data space-time correlation, and the method comprises the steps: obtaining partial discharge, traveling wave and temperature multi-source monitoring data from a high-voltage cable-overhead line hybrid power transmission network; on the basis of space-time correlation analysis of partial discharge and temperature data, heat-electricity associated defect points are calibrated; comparing traveling waves of the cable and the overhead line, and identifying and inhibiting cross-domain propagation interference; positioning the traveling wave data which are not identified to obtain temporary coordinates, judging fault characteristics by fusing information such as sheath ring current and the like, and comparing the temporary coordinates with defect points to generate matching identification; and inputting multi-dimensional information such as fault features, defect matching identification and temperature into the fusion model, calculating the confidence coefficient of a fault mode, and outputting a cross validation positioning result. According to the invention, high-reliability positioning of mixed line faults and active early warning of insulation defects are realized by carrying out space-time correlation and fusion decision on multi-source monitoring quantities such as traveling waves, partial discharge, circulation, temperature and the like.

A system suppresses extreme voltage surges induced on electric power lines due to transient electromagnetic energy disturbance from detonation of a nuclear weapon at high altitude generating an electromagnetic pulse (EMP) comprising E1, E2, and E3 pulses, geomagnetic disturbance, and intentional electromagnetic interference. Low voltage (LV) surge protection (SP) assemblies mounted at medium voltage (MV) inputs and LV outputs of the stacked converter cells of a solid-state transformer (SST) form SP of MV and LV electrical power grids interfaced by the SST. The SP assemblies utilize LV components to provide MV grid protection, shunting overcurrent to ground without interfering with the SST MV / LV grid segments isolation. The SP components are selected and coordinated to achieve predefined response at protection threshold voltage levels with current capacity mitigating complex components of HEMP. The hybrid SP communicates with SST control to react to a prolonged overvoltage / overcurrent fault condition.

The invention relates to a power plant connected to an electrical grid and a method for controlling the power plant. The power plant comprises one or more power generators and at least one synchronous condenser. The power generators may be wind turbine generators, solar photovoltaic elements or other kinds of renewable power generators. During a deviation in frequency on the electrical grid, the synchronous condenser counteracts the frequency deviation, but it may also unintentional supply active power during the frequency event. The control method is controlling the active power supply from the power generators during the frequency events based only on the active power output from the power generators.

Systems, method, and computer readable medium are provided for a controller for a generator. The system includes a rectifier for converting a first AC signal generated by the generator to a first DC signal; a first DC-DC associated with energy storage and a first mode; a second DC-DC associated with an inverter and a second mode; a switch for alternately toggling between the first DC-DC and the second DC-DC, wherein the first mode prevents output to the electrical grid, and the second mode enables inversion of the second DC signal to a second AC signal via the inverter; and a processor that uses the indicator to operate the switch to operate the generator in the first mode when a connection to the grid does not conform with a parameter, and operate the generator in the second mode when the connection to the grid conforms with the parameter.

A method and system for managing demand and electricity supply are disclosed. A distributed energy resource optimizer (DERO) of the system may determine demand for electricity associated with a plurality of premises connected to an electrical grid where the plurality of premises includes one or more distributed generation systems, determine available electricity supply for the plurality of premises, and compare the demand with the available electricity supply. In response to determining that the demand is higher than the available electricity supply, the DERO may cause one or more storage devices associated with the one or more distributed generation systems to supply electricity to the plurality of premises. In response to determining that the demand is lower than the available electricity supply, the DERO may cause the one or more storage devices to store excess electricity supply.

An electrical grid fault localization system including: a plurality of current sensors (measurement devices) electrically connected to the electrical grid; a memory for storing a representation of the electrical grid as a plurality of geographical markers, and for storing a plurality of sets of expected time data, each one of the plurality of sets of expected time data associated with each one of the plurality of geographical markers, each member of the set of expected time data based on an expected signal propagation time from, at least one of the plurality of geographical markers to at least one current sensor; a processor communicative with the plurality of current sensors and the memory, the processor configured to receive measured time data of a fault event from, the plurality of sensors to generate a set of fault event time data and to match the set of fault event time data to at least one of the plurality of sets of expected time data and identify in g / outputting at least one matched geographical marker. Methods and computer-readable media directed to electrical grid fault localization are also described.

An energy storage and delivery system includes an elevator, where the elevator is operable to move one or more blocks from a lower elevation to a higher elevation to store energy (e.g., via the potential energy of the block in the higher elevation) and operable to move one or more blocks from a higher elevation to a lower elevation (e.g., by gravity) to generate electricity (e.g., via the kinetic energy of the block when moved to the lower elevation). The energy storage system can, for example, store electricity generated from solar power as potential energy in the stacked blocks during daytime hours when solar power is available, and can convert the potential energy in the stacked blocks into electricity during nighttime hours when solar energy is not available, and deliver the converted electricity to the electrical grid.

A system and method of power management for a power generation system is disclosed. A method of power management for a hydrogen generation system including one or more electrochemical stacks, the one or more electrochemical stacks receiving power from an electrical grid including at least one power source, includes: receiving a frequency or voltage reference value for the hydrogen generation system; continually monitoring a frequency or voltage of the electrical grid; and varying a load of the hydrogen generation system in response to the frequency or voltage of the electrical grid differing from the frequency or voltage reference value to restore the frequency or voltage of the electrical grid to the frequency or voltage reference value.

The invention relates to a power plant connected to an electrical grid and a method for controlling the power plant. The power plant comprises one or more power generators and at least one synchronous condenser. The power generators may be wind turbine generators, solar photovoltaic elements or other kinds of renewable power generators. During a deviation in frequency on the electrical grid, the synchronous condenser counteracts the frequency deviation, but it may also unintentional supply active power during the frequency event. The control method is controlling the active power supply from the power generators during the frequency events based only on the active power output from the power generators.

A method of configuring a microgrid (100) including: receiving configuration inputs (202) from an operator, the configuration inputs (202) including an intended bus structure, a plurality of energy resources data, and energy resources priorities; classifying assets and asset groups based on the plurality of energy resources data; and generating a microgrid (100) configuration based on the one or more configuration inputs (202), the microgrid (100) configuration providing for automatic operation of the microgrid (100).

The invention belongs to the field of thermoelectric unit thermoelectric decoupling, and discloses a fused salt energy storage system for thermoelectric decoupling of a power plant and a working method thereof, and the fused salt energy storage system comprises a fused salt electric heating subsystem, a fused salt heat storage subsystem and a fused salt-steam-water heat exchange subsystem which are connected in sequence. The fused salt electric heating subsystem is used for heating low-temperature fused salt by utilizing high-plant electric energy; the fused salt heat storage subsystem realizes high-temperature and low-temperature fused salt circulating transmission and high-temperature fused salt storage; and the fused salt-steam-water heat exchange subsystem exchanges heat with water through high-temperature fused salt to generate steam which is supplied to the corresponding mother pipe. Thermoelectric decoupling is achieved through fused salt energy storage, fused salt energy storage is not limited by geography, arrangement can be flexible, and power transmission loss is low. Energy is released during the peak of power demand and stored during the valley of power demand, so that the loss of a system power transmission network is effectively reduced, peak clipping and valley filling are realized, the peak regulation and difference adjustment capabilities of a power plant unit are enhanced, the flexible demand of peak-valley difference of a power grid can be better adapted, stable power supply of a region is ensured, and efficient utilization of energy is improved.

A gas turbine generator system configured to be electrically interconnected to an electrical grid via a first circuit breaker. The gas turbine generator system includes a compressor configured to output a pressurized gas flow to an electrically heated thermal energy storage system which outputs a heated and pressurized gas flow to a gas turbine to cause the gas turbine to rotate and drive an electrical generator. The electrical generator outputs electric power to the electrical grid via the first circuit breaker, operating in a normally closed position. There is a controller to detect an opening of the first circuit breaker and to close a first switch, in response to the opening of the first circuit breaker. The first switch is connected to the output of the electrical generator and to the electrical input of the electrically heated thermal energy storage system, connecting the generator to the thermal energy storage system.

The described technology is generally directed towards implementation of an electric vehicle (EV) as an energy generator for a vehicle to grid (V2G) power discharge operation. Energy available at a battery onboard the EV can be discharged to an electrical grid, e.g., via an electric vehicle supply equipment (EVSE) / wallbox. A grid code(s) can be received at the EV. The grid code can be in compliance with EN50549-1 or a local grid code specification. The grid code can include a parameter(s) required to perform the V2G operation, e.g., an “Overvoltage 10 min mean protection, “anti-islanding disengage time”, and the like. The parameter(s) can be added to a distributed energy resource (DER) function bitmap, e.g., to enable an anti-islanding detection method. Communication between the EV and the EVSE can be ISO 15118-2, ISO 15118-20, etc.

A method of adjusting energy delivered by a renewable energy system to an electrical grid and an energy-consuming load is disclosed. The method may comprise determining a production schedule of a renewable energy system (RES) and establishing a prioritization order between the electrical grid and the energy-consuming load. The method may further comprise setting a power receiving threshold for the electrical grid or the energy-consuming load based on the prioritization order, and adjusting the energy delivered by the RES by controlling a first amount of energy delivered to the electrical grid and a second amount of energy delivered to the energy-consuming load. A variability schedule of at least one of the first amount of energy or the second amount of energy can be amplified or dampened over a time period relative to the natural variability energy production schedule of the RES.

An inverter coupled to an electrical power grid characterizes the electrical power grid. The inverter outputs a plurality of electrical signals of different frequencies to the electrical power grid, measures responses of the electrical power grid to the plurality of electrical signals to obtain measurement data, and processes the measurement data to generate prediction data that characterizes one or more fault conditions of the electrical power grid. The inverter adjusts an operational setting of the inverter based on the prediction data. The operational setting affects a response of the electrical power grid to a fault condition.

A gas turbine generator system configured to be electrically interconnected to an electrical grid via a first circuit breaker. The gas turbine generator system includes a compressor configured to output a pressurized gas flow to an electrically heated thermal energy storage system which outputs a heated and pressurized gas flow to a gas turbine to cause the gas turbine to rotate and drive an electrical generator. The electrical generator outputs electric power to the electrical grid via the first circuit breaker, operating in a normally closed position. There is a controller to detect an opening of the first circuit breaker and to close a first switch, in response to the opening of the first circuit breaker. The first switch is connected to the output of the electrical generator and to the electrical input of the electrically heated thermal energy storage system, connecting the generator to the thermal energy storage system.

The method and system manages energy flows between an electrical grid and a plurality of microgrids that deploy at least one battery energy storage system, and which are controlled by a microgrid controller. A central controller receives electrical grid information from external sources and is arranged to generate an aggregate long-term schedule and an aggregate short-term schedule for energy flows and energy prices for the plurality microgrids connected to the central controller. A microgrid scheduler associated with each microgrid includes a long-term day(s) ahead scheduler that receives the aggregating long-term schedule and a short-term near real-time scheduler that receives the aggregate short-term schedule. The long-term day(s) ahead scheduler is arranged to generate a microgrid long-term schedule that controls energy flows between the electrical grid and each microgrid and its connected battery energy storage system that is corrected by a microgrid short-term near real-time schedule generated by the microgrid short-term near real-time scheduler.

A computer-implemented method is provided. A processor set selects a number of nodes. The processor set filters anomalous data from historical data for each node in the number of nodes to generate a refined historical data. The processor set trains a number of computational models using the refined historical data to generate a number of machine learning models for forecasting electrical rate deviation and fluctuation for the number of nodes. The processor set assigns a composite performance score to each machine learning model based on performance for each machine learning model. The processor set computes anomalous electrical rate fluctuation based on the anomalous data for each node using a stochastic model. The processor set generates a forecast comprising anomalous electrical rate fluctuation, and electrical rate fluctuation and deviation for the number of nodes for a period of time.

The described technology is generally directed towards implementation of an electric vehicle (EV) as an energy generator for a vehicle to grid (V2G) power discharge operation. Energy available at a battery onboard the EV can be discharged to an electrical grid, e.g., via an electric vehicle supply equipment (EVSE) / wallbox. The EV can forward a EVSessionTotalDischargeEnergyAvailable parameter identifying an amount of electrical energy available for discharge from a battery onboard the EV. The EVSE can configure a power discharge profile for the V2G operation based on the value of the EVSessionTotalDischargeEnergyAvailable parameter. Accordingly, the power discharge profile can be configured so as to not exceed the value of the EVSessionTotalDischargeEnergyAvailable parameter. Communication between the EV and the EVSE can be in accordance with ISO 15118-2, ISO 15118-20, etc.

A method of power management of a hybrid power plant. Before a predefined time range, generating a power generation schedule on the basis of forecasts parameters, obtaining the user and / or the power conversion equipment a power supply schedule defining a power to be supplied to the electrical grid, the user and / or the power conversion equipment during the predefined time period and of determining a power injection schedule of the power plant defining a power supply of the power plant during the predefined time range on the basis of the power generation schedule and of the power supply schedule. During the predefined time range, supplying the power of the power plant to electrical grid and / or to the user on the basis of the power supply schedule and supplying a surplus power of the plant to the electrical grid, the user, the energy storage system and / or the power conversion equipment.

The invention relates to renewable energy generation and, more particularly, to a cladding system that generates energy from renewable sources. The cladding system comprises, inter alia, a single and / or plurality of renewable energy generating units, such as solar panels, mounted on or integrated into a building's exterior cladding. The renewable energy generating unit(s) are connected to an energy storage system and / or the building's electrical grid, so that the energy generated by the unit(s) can be used to power the building or sold back to the Grid. The invention's features and purpose is to generate energy from a renewable source and allow usage of this energy to either power building resources (e.g. lighting, mechanicals, common areas etc.) and / or to sell the energy to the city grid.

The invention provides a method for performing power system load frequency control by using deep reinforcement learning, and relates to the technical field of power system control, and the method comprises the steps: constructing a power system model which comprises a power generation unit, a power transmission network, a load unit and a frequency control device; acquiring historical operation data of the power system, including a load demand record, a power generation output log and a frequency fluctuation condition, and preprocessing the historical operation data of the power system to obtain processed historical operation data of the system; and according to the processed historical operation data of the system, training a deep neural network model, extracting key features of the historical operation data of the system, and predicting a future load demand and a frequency change trend to obtain a prediction result. According to the method, the power system model is fused through deep reinforcement learning, accurate prediction and automatic real-time control of the load frequency are achieved, and the stability and economical efficiency of the power system are improved.

The invention discloses a broadband harmonic type analysis and propagation path tracking method for a flexible DC power grid system, and the method comprises the following steps: determining the number and positions of DC network harmonic monitoring points according to an electrical main wiring diagram of the flexible DC power grid system, and the harmonic limit values of different types and frequencies in each DC network harmonic monitoring point; determining the sampling frequency and interval of each converter station harmonic monitoring point, and carrying out harmonic online monitoring on the DC side bus current of each converter station of the DC power grid; when a harmonic amplitude exceeding event occurs in the direct-current power grid, determining the type of the exceeding harmonic and the frequency or frequency band of the exceeding harmonic needing to be tracked, and issuing a monitoring instruction to all monitoring points; and according to the amplitude relation of the harmonic waves needing to be tracked by each harmonic wave monitoring point in the same time period, rapid tracking of the harmonic waves in a direct current transmission network propagation path is realized by taking the frequency as the characteristic. According to the invention, rapid tracking of propagation paths of harmonic waves with different frequencies or frequency bands in the flexible DC power grid system is realized.

The described technology is generally directed towards implementation of an electric vehicle (EV) as an energy generator for a vehicle to grid (V2G) power discharge operation. Energy available at a battery onboard the EV can be discharged to an electrical grid, e.g., via an electric vehicle supply equipment (EVSE) / wallbox. The EV can receive a power limit parameter (PmonitoringDischargePowerLimit), defining a maximum amount of power that can be transferred during a V2G operation. Communication between the EV and EVSE can be in compliance with ISO 15118-20, and comprises a ChargeParameterDiscoveryResponse message. The power limit is in accordance with VDE-AR-N 4105. A power value in a ChargeLoopResponse message can be utilized as a real time measurement of power transferred between the EV and the EVSE, and generated in compliance with ISO 15118-20. If the power value equals the power limit parameter, electrical energy transferred in the V2G operation can be reduced.

Information about power events on the electrical grid may be determined by processing reports of power anomalies from power monitors installed at various points on the electrical grid, such as in buildings of end users of electrical power. A power monitor may process sensor measurements of the power line to determine that a power anomaly has occurred. The power monitor may transmit information about the power anomaly, such as the time and location, to a processing location. The processing location may select power anomaly reports having a similar time and location to determine information about a power event that caused the power anomalies. The information about the power event may include the type, time, and location of the power event. A notification may be sent about the power event to facilitate repairs and reduce risks, such as the risk of electrical fires.

The method and system manages energy flows between an electrical grid and a plurality of microgrids that deploy at least one battery energy storage system, and which are controlled by a microgrid controller. A central controller receives electrical grid information from external sources and is arranged to generate an aggregate long-term schedule and an aggregate short-term schedule for energy flows and energy prices for the plurality microgrids connected to the central controller. A microgrid scheduler associated with each microgrid includes a long-term day(s) ahead scheduler that receives the aggregating long-term schedule and a short-term near real-time scheduler that receives the aggregate short-term schedule. The long-term day(s) ahead scheduler is arranged to generate a microgrid long-term schedule that controls energy flows between the electrical grid and each microgrid and its connected battery energy storage system that is corrected by a microgrid short-term near real-time schedule generated by the microgrid short-term near real-time scheduler.