1132results about "Selective ac load connection arrangements" patented technology

The invention discloses an optical storage and charging integrated micro-grid energy management system, which relates to the related technical field of micro-grids and comprises an electric energy collection layer, a digital twinborn layer, a collaborative optimization layer, an application execution layer, a photovoltaic power generation unit, an energy storage unit, a charging load unit and a distributed measurement and control terminal. The invention further discloses an energy management method of the photovoltaic, storage and charging integrated micro-grid. The energy management method comprises the steps of data acquisition, digital twin modeling, multi-target strategy generation and optimization, strategy evaluation and screening, strategy issuing and execution and closed-loop feedback and dynamic correction. According to the invention, through short-term prediction of a digital twinborn layer and real-time generation of a charging and discharging strategy by a collaborative optimization layer, fluctuating renewable energy sources are preferentially consumed, the light abandoning rate is reduced, energy storage charging is automatically triggered in an illumination peak period, and power overflow is avoided; based on the simulation result of the digital twinborn model, the power distribution of energy storage and load is dynamically adjusted, so that the photovoltaic utilization rate is improved, and the dependence on a traditional power grid is reduced.

The invention relates to a transformer area self-healing optimization control method and system based on flexible interconnection. The method comprises the following steps: S1, constructing an operation monitoring network based on equipment ledgers in a transformer area; s2, deploying flexible interconnection equipment at key nodes of a transformer area to realize fault isolation and power failure transfer, dynamic load transfer and voltage regulation, and flexible cooperative control of a distributed power supply and energy storage equipment; s3, introducing an equipment state evaluation model based on the transformer area operation data obtained by the operation monitoring network, and obtaining state evaluation and risk early warning of each equipment in the transformer area; s4, constructing a flexible interconnection dynamic topology management mechanism between the stations, and dynamically adjusting the interconnection topology between the stations according to the load transmission demand and the power supply condition; and S5, based on state evaluation and risk early warning of each device, performing load regulation and control and fault recovery according to a dynamic topology management mechanism of flexible interconnection. According to the invention, efficient and intelligent transformer area operation and power supply reliability improvement are realized.

The invention discloses a virtual power plant-based power distribution area collaborative governance system and method, and relates to the technical field of power system automation and intelligent power distribution networks, and the system comprises a dynamic autonomous partition governance unit which is used for dividing a power distribution area node into a plurality of subunits, correcting abnormal states in the subunits based on a power mutual aid strategy between adjacent subunits; the multi-time-scale collaborative optimization unit is used for constructing a second-level, minute-level and hour-level multi-time-scale collaborative mechanism and coordinating control targets of the power distribution area at different time scales; the edge-cloud collaborative decision-making unit is used for complementing the edge side real-time control strategy and the cloud global strategy; and the elastic resource pool unit is used for calculating the elastic contribution degree of the resources and formulating priorities, and calling the resources according to the priorities to meet load requirements. By integrating the virtual power plant technology, the edge calculation, the digital twinning and the multi-time scale optimization strategy, the intelligent and efficient treatment of the power distribution area is realized.

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system based on dynamic optimization control and a multi-mode energy scheduling method. Comprising a renewable energy power generation unit which comprises at least two distributed power supplies with different power generation characteristics; the multi-stage hydrogen production device is configured to receive the electric energy output of the renewable energy power generation unit and perform proton exchange membrane water electrolysis hydrogen production; the hybrid energy storage system comprises a super capacitor bank and a lithium ion battery pack which are connected in parallel to the direct current bus through a bidirectional DC / DC converter; the dynamic optimization controller is internally provided with a multi-time-scale coordination algorithm and is used for acquiring meteorological prediction data, load demand data and an energy storage SOC state in real time; the multi-mode scheduling module comprises three working modes including an island operation mode, a grid-connected operation mode and an emergency standby mode; according to the scheme, hydrogen production economy, equipment durability and power supply reliability can be considered at the same time.

Systems and methods for managing the distribution of electrical power are disclosed. The system can maintain a status of each account of a plurality of accounts. Each account can correspond to an electrical power generation device, an electrical power consumption device, and an electrical power transmission device. The system can generate a first record object in response to the generation of a unit of power. The system can identify a first path identifying a source device and a destination device to transmit the unit of power. The system can generate a control signal to route the unit of power from the source device to the destination device. The system can update an event tracker to indicate the routing of the unit of power. The system can generate a second record object corresponding to the destination device. The system can update a second account to include the second record object.

Embodiments of the disclosed systems and methods provide allow for dynamic management of electrical systems using an intelligent energy management system. Consistent with embodiments disclosed herein, an intelligent energy management system may allow for the dynamic connection of electrical sources and / or loads in accordance with applicable operating rules. Operating rules may be articulated and enforced by the intelligent energy management system that provide for event and / or state driven of an electrical system and / or associated sources and / or loads. Among other things, embodiments of the disclosed intelligent energy management system may support relatively flexible connection of electrical sources and loads, bidirectional energy usage to allow for energy to be both consumed from and fed back to a utility grid, improved battery storage and / or management, proactive energy source switching and predictive battery discharge management, and / or the like.

The invention relates to a power equipment state self-healing operation and maintenance method, and belongs to the field of power equipment operation and maintenance, and the method comprises the steps: obtaining the real-time operation state data of a power supply in a current multi-source power supply system, collecting the data through a preset sampling frequency, and constructing a power supply state matrix; a conversion time constraint condition is set in advance, a zero-delay switching decision tree is constructed and a power supply switching decision is output in combination with a main power supply fault risk assessment result, and if the main power supply fault risk assessment result is abnormal, the standby power supplies are switched according to the determined switching priorities of the standby power supplies and the power supply switching decision; after the switching is completed, monitoring the power supply continuity index of the power equipment in real time, and if the power supply fluctuation time or the phase jump amplitude exceeds a preset allowable value, smoothing the power supply fluctuation by adopting the rapid power compensation function of the energy storage device; the stability and reliability of the multi-source power supply system are improved, and intelligent power supply switching and self-healing disaster recovery are realized.

The invention relates to the technical field of intelligent distribution, in particular to a power grid load distribution system and method based on intelligent control, and the system comprises a data collection and processing module which carries out the real-time collection and data processing of all node data and meteorological data of a power grid, and obtains the actual power grid load data; the communication network module is used for transmitting the actual power grid load data; the intelligent regulation and control module is used for constructing a rural power grid load model to obtain a load prediction value; the monitoring alarm module is used for monitoring the actual rural electricity consumption condition in real time according to the load prediction value; the system verification module is used for verifying the stability of the power grid after regulation and control configuration, verifying the resource utilization efficiency of the power grid according to the load rate of the transformer, and adjusting the regulation and control configuration; and the execution feedback module is used for performing control strategy command execution on the power grid equipment. The power supply and demand balance of the rural power grid is realized, and the utilization efficiency of power grid resources is improved.

The invention discloses a power distribution network fault recovery method based on deep reinforcement learning, and the method comprises the following steps: constructing an objective function and constraint conditions based on a power distribution network system containing a distributed power supply, and building a power distribution network fault recovery model; designing an action space based on loop-switch coding, and performing infeasible solution screening based on radial constraint; a reinforcement learning framework of power distribution network fault recovery is established, a fault recovery strategy based on a PPO algorithm is provided, a strategy network is trained, a trained network model is applied to power distribution network fault recovery, switch on-off selection can be performed according to a system state, and load transfer and power flow optimization can be realized. According to the invention, the fault recovery efficiency of the power distribution network is effectively improved, the network loss is reduced, and the operation safety of the system is ensured.

The invention relates to the technical field of automation and intelligent operation and maintenance of a power system, in particular to a knowledge graph-fused reinforcement learning switching operation anti-error verification method, which systematically extracts a multi-dimensional anti-error rule covering an operation sequence, an equipment state and an electrical safety distance by constructing an operation ticket knowledge graph, and improves the accuracy of the operation ticket knowledge graph. The defect that a traditional single-station anti-error system is incomplete in rule coverage is overcome, meanwhile, in combination with deep mining of a reinforcement learning model on historical operation data, implicit anti-error rules can be automatically extracted, illegal scenes which are not covered by a traditional rule base are supplemented, overall-process and multi-level accurate verification of switching operation is achieved, and the verification efficiency is improved. And the risks of misoperation and missing detection are greatly reduced.

The invention provides an air conditioner load and electric vehicle energy mutual aid regulation optimization method and system, and the method comprises the steps: adjusting the charging behavior of an electric vehicle in a transformer area according to the power grid demand, and carrying out the mutual aid regulation of the electric vehicle; the electric energy consumption behaviors of respective air conditioning equipment of residents in the transformer area are adjusted, and mutual aid scheduling is conducted on air conditioning loads; and on the basis of electric vehicle mutual aid regulation and control and air conditioner load mutual aid scheduling, collaborative mutual aid optimization is carried out on the electric vehicle and the air conditioner equipment. Through coordinated optimization of the air conditioning load and electric vehicle charging and discharging, the peak-valley difference rate of the power grid is effectively reduced, balanced distribution of the load of the power grid and minimization of the peak-valley difference rate are realized, the stability of the power grid is improved, and the method has important theoretical and practical significance for promoting development of the smart power grid and improving the energy management level of a residential district.

The invention provides a dynamic scheduling method for new energy station loads, which relates to the technical field of new energy power generation, and comprises the steps of collecting power generation data and equipment operation state data, calling power grid load demand data and power grid operation parameters, building a comprehensive prediction model according to station historical data in combination with a neural network algorithm, and carrying out dynamic scheduling on the new energy station loads. The comprehensive prediction model comprises a power generation power prediction model and a load demand prediction model, inputting the power generation data, the equipment operation state data, the power grid load demand data and the power grid operation parameters into the comprehensive prediction model, performing power generation capacity prediction and load demand prediction, and performing dynamic scheduling based on a power generation capacity prediction result and a load demand prediction result. The technical problems of power grid power imbalance and resource waste caused by the fact that load scheduling is difficult to adapt to the power generation characteristics of the new energy station in the prior art are solved. The technical effects of realizing flexible scheduling of the load of the new energy station and effectively balancing the generated power of the new energy station and the load demand of the power grid are achieved.

A method operable by a controller of a static transfer switch (STS) is provided. The STS includes first and second inputs selectively coupled with first and second power sources via first and second circuit breakers, respectively, an output coupled with a load, first and second bypass breakers selectively coupling the first and second inputs, respectively, with the output, at least one removable power stage module including first and second power stages configured to conduct electrical power when active, first and second contactors selectively coupling the first and second inputs with the first and second power stages, respectively, and a load switch selectively coupling the first and second power stages with the output. The method includes modifying an operating state of the first and second contactors and the first and second power stages to implement a bypass operation and an un-bypass operation of the STS in response to a trigger condition.

The invention discloses a storage and charging integrated device, a charging control method, a charging pile and a charging system.The storage and charging integrated device comprises an energy storage module and a charging module, the first input end of the charging module is connected with the first output end of an alternating current-direct current conversion module, and the first end of the energy storage module is connected with the second output end of the alternating current-direct current conversion module; the second end of the energy storage module is connected with the second input end of the charging module. The input end of the AC-DC conversion module is connected with an AC power grid. And the charging module is configured to perform charging output by serially connecting first charging power provided based on the working state of the AC / DC conversion module and second charging power provided by the energy storage module, and provide third charging power output by the charging module to the to-be-charged equipment for charging. Therefore, high-power output of the storage and charging integrated device can be realized based on low power provided by the alternating-current power grid, so that the cost of the storage and charging integrated device can be reduced, and the charging speed of the storage and charging integrated device is improved.

The present teachings relate to an electrical device (100) comprising: a first electrical power input (101) connectable to receive electrical power from a first power source; a second electrical power input (102) connectable to receive electrical power from a second power source different from the first power source; at least one electrical power output (121, 122, 123) , each electrical power output being connectable to supply electrical power to an individual electrical power consumer; a switching circuit (105) operable to route electrical power from the first electrical input to at least one of the electrical power outputs; a sense circuit operable to detect a depletion signal indicating an interruption in the electrical power which is being provided at the first electrical input; a controller (110) operable to control the switching circuit to switch from the first electrical power input to the second electrical power input in response to the depletion signal, thereby routing electrical power from the second electrical input to at least one of the electrical power outputs. Related methods are also disclosed.

A power distribution apparatus, comprising: a plurality of switches each operable to switch a respective power source of a plurality of power sources between a first input node of a first load and a second input node of a second load; a first power meter configured to determine a first power being delivered to the first input node from the plurality of power sources via the plurality of switches; a second power meter configured to determine the power consumption of the first load; and a control module configured to control the switches to distribute power between the first and second loads in dependence on the determined first power and the determined power consumption of the first load.

The invention provides an optical storage multi-mode control method. The optical storage multi-mode control method comprises the following steps of 1, collecting multi-source data of photovoltaic output, energy storage SOC, load requirements and electricity price signals in real time; 2, dividing operation modes based on fuzzy logic, such as an economic mode, an emergency power supply mode and a peak value adjustment mode; 3, generating an optimal power distribution strategy in each mode through model predictive control (MPC); and step 4, designing a mode switching logic based on Lyapunov stability to realize non-impact transition, and relates to the technical field of photovoltaic power generation and energy storage system cooperative control, and through multi-source data fusion, fuzzy logic mode division, model prediction control and the Lyapunov stability switching logic, the mode switching logic based on the Lyapunov stability is realized. Self-adaptive efficient operation of the optical storage system under complex working conditions is achieved, the problems that a traditional control method is single in mode, lagged in response and low in energy utilization rate are solved, and the method is suitable for improving the economical efficiency and stability of the optical storage system.

Disclosed in the present invention are an optimization-based regulation and control method and apparatus for distributed energy storage, a device, and a storage medium. The method comprises: on the basis of current weather parameters, constructing an extreme weather model; determining a plurality of faulted and out-of-service elements in which faults will occur in a power distribution network; then on the basis of the faulted and out-of-service elements, system parameters of a distributed energy storage system, and an operation parameter of the power distribution network, constructing a dual-objective optimization model taking load loss minimization and power failure time minimization as objectives; and finally, solving for the dual-objective optimization model to generate an optimal regulation and control scheme applied to the distributed energy storage system. Therefore, when a fault has occurred in the power distribution network, the distributed energy storage system is regulated and controlled by means of the optimal regulation and control scheme, such that power supply of the power distribution network is restored as soon as possible in extreme typhoon weather, and the transient power deficit of the power distribution network is made up promptly. Therefore, the present invention can effectively guarantee the safe operation of power distribution networks under the condition of extreme typhoon weather.

An electrical device (100), such as an automatic transfer switch or an electrical power distributor, comprises: a first electrical power input (101); a second electrical power input (102); an electrical power output (121, 122, 123); a switching circuit (105) operable to route electrical power from the electrical power inputs to the electrical power output; the switching circuit comprising: a first switching element (111) to allow, when enabled, power flow from the first electrical power input to the electrical power output; and a second switching element (112) to allow, when enabled, power flow from the second electrical power input to the electrical power output; a controller (110) operable to control the switching circuit to switch to the first electrical power input or the second electrical power input for selecting which of said electrical power inputs is to supply electrical power at the electrical power output; wherein the electrical device is operable to determine a timing sequence of switching between the first electrical power input and the second electrical power input.

An electrical power apparatus for coupling between an electrical power supply and one or more electrical power loads includes: a plurality of dynamically dispatchable electrical energy storage components providing at least one of dynamically dispatchable energy storage thereto and energy retrieval therefrom; and a controller to dynamically control the operation of the one or more dynamically dispatchable energy storage components in order to dynamically match the electrical power supply to the one or more loads by dynamically storing energy in one or more of the dynamically dispatchable electrical energy storage components when the available electric power exceeds that required by the one or more loads, and / or dynamically supplying electrical energy from one or more of the dynamically dispatchable electrical energy storage components when the available electric power is less than that required by the one or more loads.

An electrical line selection system comprising a circuit module configured to connect energy sources with multiple line outputs. The circuit module has a number of inputs configured to connect to energy sources, including rechargeable battery systems, and a number of outputs configured to connect with other electrical systems such as other battery systems, loads, charging sources, and various AC or DC power supplies. A switching circuit is contained by the circuit module and a controller manages the switching circuit based on desired connections and strategies for managing power supplies and current sinks.

A system and related method balance phase power in a power distribution system. The method comprises performing the following operations dynamically and repeatedly, during operation of subcomponents receiving power from a plurality of redundant intelligent PDUs. Input phases of the intelligent PDUs are monitored for power values associated with the input phases that provide power to the subcomponents through the PDUs. A target per-phase power value is determined. When the input phases are not balanced, an input phase at an input port is redirected to an output port of at least one of the PDUs using a switch to bring the not-balanced phases closer to being balanced phases by reducing a difference of phase powers to the target per-phase power value. The method then comprises performing load shifting on the power supply units (PSUs) associated with the redundant PDUs to improve an overall phase power balance across all redundant PDUs.

The invention provides a power distribution network transfer path preferential analysis method based on an ELCTRE multi-attribute decision-making method, and the method comprises the steps: obtaining a power grid operation mode, taking a power grid frame in the power grid operation mode as a model, taking an operation state as measurement, and selecting a group of anticipated faults as a transfer path analysis object; superposing the initial operation mode and the anticipated fault to define a ground state mode, and carrying out transfer path analysis on the ground state mode to obtain a plurality of transfer schemes; carrying out load flow calculation, short-circuit calculation and risk assessment on each transfer scheme, and calculating residual capacity, voltage condition, short-circuit current condition and risk accumulated value of each level related to the path; calculating the operation cost according to the switching action times of the transfer scheme, and constructing a standardized decision matrix after performing normalization processing on each index according to the weight; carrying out harmony and non-harmony analysis on the standardized decision matrix, and determining the priority and sorting of each scheme; and determining a transfer scheme according to the priority and the sequence.

The invention provides a power supply device, a power supply control device and a control method thereof, the power supply control device is electrically connected to a power supply, and the power supply is used for supplying power to a post-stage circuit of the power supply control device. The power supply control device comprises a current limiting module and a control unit. The current-limiting module is electrically connected to the power supply and the post-stage circuit and comprises a first current-limiting unit and a second current-limiting unit which are connected in parallel, the first current-limiting unit is configured to limit a surge current generated when the post-stage circuit is started, and the second current-limiting unit is configured to limit a surge current generated when the power supply is abnormal. The control unit is electrically connected to the current limiting module and is configured to control the first current limiting unit and the second current limiting unit.

Disclosed herein are systems and methods for sliding mode control enabled hybrid energy storage. In a specific embodiment, the system can include: a photovoltaic power generation unit; a hybrid energy storage system, where the hybrid storage system can include a battery, a supercapacitor, where the supercapacitor provides excess power demand based on different loading conditions, and a rate limiter; a sliding mode controller, where the slide mode controller controls a current in a hybrid energy storage system; a supercapacitor charging control; and a proportional integral controller. In a specific embodiment, the method can include: decoupling an average and transient hybrid energy storage system current with a single rate limiter, where the decoupling includes a battery discharge rate; regulating a battery current with a first sliding mode controller; and regulating a supercapacitor current with a second sliding mode controller, where a supercapacitor provides excess power demand.

Responsive to a voltage across a capacitor being greater than a voltage across a traction battery, a controller may open switches such that charge current from a DC charger flows through a diode to the traction battery without following through coils of an electric machine and without flowing through an inverter.

The invention provides a building micro-grid low-carbon integrated cluster control system, and the system comprises the steps: determining the accumulated capacity of an energy production micro-grid in a target time period according to an energy production impact factor of a target region in the target time period; according to the energy consumption of each power utilization load in the historical time period, the accumulated energy consumption of the power utilization load in the target time period is determined; determining a target sub-moment and an adjustment time period according to the accumulated energy capacity corresponding to each sub-moment of the target time period and the accumulated energy consumption corresponding to the sub-moment; adjusting the total energy consumption corresponding to the adjustment time period according to the total energy consumption corresponding to the adjustment time period and the difference between the accumulated energy consumption corresponding to the next sub-moment of the target sub-moment and the accumulated energy production corresponding to the next sub-moment of the target sub-moment; and finally, controlling the electricity load to be connected with the commercial power grid in the adjustment time period and to be connected with the energy production micro-grid in the non-adjustment time period so as to realize flexible electricity utilization adjustment of the electricity load.

A static transfer switch (STS) system for transferring power between power sources is provided. The STS system includes first and second alternate-current (AC) switch assemblies. The first AC switch assembly includes a first current interrupter, and a first controller configured to control the first current interrupter. The second AC switch assembly includes a second current interrupter, and a second controller configured to control the second current interrupter. The first AC switch assembly and the second AC switch assembly are in communication with one another and are each configured to monitor an output power to the load, the first power source, and the second power source and transfer power when disturbance is detected in the output power, the first power source, and / or the second power source.

The invention provides an intelligent control method and system for an optical-stored-diesel micro-grid and a storage medium, and the method comprises the steps: firstly, judging whether a power supply demand of a load is met or not according to first power information and second power information; if yes, entering a photovoltaic power supply mode; if not, judging whether the first power grid state information is in a power supply state or not; if yes, entering a power grid power supply mode; if not, whether the power supply requirement of the load is met or not is judged according to the first electric quantity information and the first power information; if yes, entering an energy storage power supply mode; if not, entering a diesel power supply mode; according to the power grid state and the photovoltaic power generation state, the power supply of the load is automatically switched so as to ensure the stability of electric energy supply; and by intelligently adjusting the diesel power generation power and the charging and discharging conditions of the energy storage battery, the power utilization cost is reduced, and the cost performance of electric energy supply is improved.

The invention discloses a flexible resource distributed optimization scheduling method and system considering wind power uncertainty, and the method comprises the steps: constructing a distribution robust opportunity constraint according to a wind power prediction error fuzzy set, and carrying out the convex approximation of the distribution robust opportunity constraint through introducing a conditional value-at-risk, carrying out linearization processing on the distribution robust opportunity constraint after convex approximation; based on the distribution robust opportunity constraint subjected to linear processing, multi-element flexible resource differentiation operation characteristics of an energy storage system, an electric vehicle and an adjustable load are considered, and a flexible resource collaborative scheduling model considering the wind power uncertainty distribution robust opportunity constraint is constructed; adopting a consensus alternating direction multiplier algorithm to reconstruct the flexible resource collaborative scheduling model considering the wind power uncertainty distribution robust opportunity constraint into a distributed optimal scheduling model; and improving a consensus alternating direction multiplier method through a branch and bound method, processing an adjustable load discrete variable, and solving the distributed optimization scheduling model to obtain a flexible resource distributed optimization scheduling strategy.