WO2016029825A1 - 分布式能源电源控制方法、装置及系统 - Google Patents

分布式能源电源控制方法、装置及系统 Download PDF

Info

Publication number
WO2016029825A1
WO2016029825A1 PCT/CN2015/087846 CN2015087846W WO2016029825A1 WO 2016029825 A1 WO2016029825 A1 WO 2016029825A1 CN 2015087846 W CN2015087846 W CN 2015087846W WO 2016029825 A1 WO2016029825 A1 WO 2016029825A1
Authority
WO
WIPO (PCT)
Prior art keywords
energy
load
total amount
power
loads
Prior art date
Application number
PCT/CN2015/087846
Other languages
English (en)
French (fr)
Inventor
吴超
奚明耀
郑志威
Original Assignee
珠海格力电器股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 珠海格力电器股份有限公司 filed Critical 珠海格力电器股份有限公司
Priority to AU2015309395A priority Critical patent/AU2015309395B2/en
Priority to US15/506,297 priority patent/US10147148B2/en
Priority to EP15836487.7A priority patent/EP3188339A4/en
Priority to CA2959187A priority patent/CA2959187C/en
Publication of WO2016029825A1 publication Critical patent/WO2016029825A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L31/00—Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof
    • H01L31/04—Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof adapted as photovoltaic [PV] conversion devices
    • H01L31/053—Energy storage means directly associated or integrated with the PV cell, e.g. a capacitor integrated with a PV cell
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
    • H02H7/10—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for converters; for rectifiers
    • H02H7/12—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for converters; for rectifiers for static converters or rectifiers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/10—The network having a local or delimited stationary reach
    • H02J2310/12—The local stationary network supplying a household or a building
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30—Reactive power compensation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Definitions

  • the present application relates to the field of electrical power, and in particular to a distributed energy source control method, apparatus and system.
  • the power distribution system for the related technology cannot provide a dynamic power distribution mode, resulting in a problem of low efficiency and poor stability of the power supply system, and no effective solution has been proposed yet.
  • a power distribution system for the related art cannot provide a dynamic power distribution mode, resulting in a problem of low efficiency and poor stability of the power supply system.
  • the main purpose of the present invention is to provide a distributed energy source.
  • a distributed energy source control method comprising: reading a total amount of energy provided by an energy supply device for each load in a system; collecting energy of each load Data, energy data includes: supply voltage, supply current, reactive power, active power and power consumption; calculate the total amount of electricity used by all loads in the system; determine the energy distribution by comparing the total amount of electricity and the total amount of energy Strategy, energy allocation strategy includes: allocating energy according to the priority of each load, and switching energy mode according to the power factor of each load.
  • a distributed energy source control apparatus comprising: a reading module for reading a total amount of energy provided by an energy supply device for each load in the system
  • the acquisition module is configured to collect energy data of each load, and the energy data includes: a supply voltage, a supply current, a reactive power, an active power, and a power consumption; and a calculation module, configured to calculate a total power consumption of all loads in the system.
  • the processing module is configured to determine an energy allocation strategy by comparing the total amount of electricity used and the total amount of energy.
  • the energy allocation strategy includes: allocating energy according to the priority of each load, and performing energy mode according to the power factor of each load. Switch.
  • a distributed energy source control system comprising: an energy supply device for providing energy for each load in the system; a detection metering device, and each load
  • the detecting device on the communication communicates with the energy data of each load detected by the detecting device, and calculates the total amount of power used by all the loads in the system, wherein the energy data includes: a supply voltage, a supply current, a reactive power, and an active power. Power and power consumption; energy control device, connected to the detection metering device, for comparing the total amount of electricity used and the energy supplied to each load
  • the total amount of sources determines the energy allocation strategy.
  • the energy allocation strategy includes: allocating energy according to the priority of each load, and switching the energy mode according to the power factor of each load.
  • the total energy supply provided by the reading energy supply device for each load in the system is adopted; the energy data of each load is collected, and the energy data includes: supply voltage, supply current, reactive power, active power and power consumption.
  • the energy allocation strategy includes: allocating energy according to the priority of each load, according to each load.
  • the power factor is used to switch the energy mode, which solves the problem that the power supply system cannot provide a dynamic power distribution mode, resulting in low efficiency and poor stability of the power supply system, thereby providing a power distribution mode for the load and improving the entire power supply system.
  • FIG. 1 is a schematic structural diagram of a distributed energy source control system according to Embodiment 1 of the present application;
  • FIG. 2 is a detailed structural diagram of an optional distributed energy source control system according to Embodiment 1 of the present application;
  • FIG. 3 is a flowchart of a distributed energy source control method according to Embodiment 2 of the present application.
  • FIG. 4 is a schematic structural diagram of a distributed energy source control device according to Embodiment 3 of the present application.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • FIG. 1 is a schematic structural diagram of a distributed energy source control system according to Embodiment 1 of the present application.
  • the distributed energy source control system may include an energy supply device 10, a detection metering device 12, and an energy control device 14.
  • the energy supply device 10 is configured to provide energy for each load in the system; the detection and metering device 12 communicates with the detection device on each load, and the collection and detection device detects the energy data of each load, and calculates the system.
  • the total amount of electricity used by all the loads, wherein the energy data may include: a supply voltage, a supply current, a reactive power, an active power, and a power consumption; and an energy control device 14 connected to the detection and metering device 12 for comparison
  • the total amount of electricity and the total amount of energy supplied to each load determine an energy allocation strategy.
  • the energy distribution strategy includes: allocating energy according to the priority of each load, and performing energy mode switching according to the power factor of each load.
  • the energy demand data of each load is determined by detecting the energy data of each load in the system by the measuring device 12, and the total amount of power used by the energy control device 14 and the energy supply of the system are provided in the energy control device 14. After the total amount of energy provided by the device is compared, the current energy allocation strategy can be determined. Because of the above process, big data comparison analysis is carried out for the current power demand of each load, so that an optimal power distribution mode is determined to operate, and the dynamic power distribution mode cannot be provided in the power supply system, resulting in the power supply system working. The problem of low efficiency and poor stability, in turn, provides a power distribution mode for the load, which improves the efficiency, reliability and stability of the entire power supply system, thereby ensuring efficient, safe and reliable operation of the system.
  • the energy supply device in the above embodiment of the present application may include any one or more of the following: a renewable energy device connected to the energy control device, a grid power supply device, and a battery.
  • a renewable energy device connected to the energy control device
  • a grid power supply device may include any one or more of the following: a renewable energy device connected to the energy control device, a grid power supply device, and a battery.
  • the whole system is mainly used as a main source of load energy by renewable energy equipment such as photovoltaics and grid power supply equipment, and the battery is used as a power source.
  • the energy supply device 10 for providing renewable energy may include a photovoltaic module and other energy devices.
  • a combiner box may be installed between the energy supply device 10 and the energy control device 14 for
  • the renewable energy provided by the photovoltaic modules and other energy devices is pooled and distributed to the energy control device 14.
  • the above battery is an energy storage module.
  • the battery can take precedence. Power the highest priority load to ensure the normal operation of critical loads.
  • the detection and metering device 12 can collect the energy data returned by each load module, and the collected energy data is measured, and finally fed back to the energy control device 14 for unified management; the energy control device 14 analyzes the returned loads. Energy data to determine a reasonable energy allocation strategy, which is an energy-optimized configuration.
  • the power supply device may be an AC power grid, and when the renewable energy source provided by the energy supply device 10 is insufficient, the AC power grid may be used for power supply by switching.
  • the grid-connected power supply is sufficient, the battery is fully charged.
  • the power is off or the grid-connected power supply is insufficient, the battery is discharged and the battery is used as a backup power supply.
  • the main system operation requirements are maintained when the main energy source and the AC power grid are not powered.
  • the energy supply is less than 30% of the total load capacity, the primary load is preferentially supplied and some of the secondary load can be selectively powered.
  • the system in the above embodiment of the present application may further include: a DC power distribution board connected to Between the energy control device 10 and each DC load, an energy allocation command for each load is generated according to an energy allocation policy.
  • the DC power distribution panel can perform an energy distribution function on the DC load, so that the energy supply device 10 generates an energy allocation command after determining the energy distribution policy.
  • the energy allocation command can complete the function of the energy distribution by the load according to the priority level, and the energy management system determines that the fault point sends a quick response to the cut command.
  • the energy control device 14 may include: a first processor 141 or a second processor 143.
  • the energy control device 14 may be a first processor 141, and the first processor 141 is configured to determine whether a ratio of the total amount of power used to the total amount of energy is less than or equal to a predetermined value, where If the ratio of the total amount of electricity to the total amount of energy is less than or equal to a predetermined value, then the energy is allocated according to the priority of each load. If the ratio of the total amount of electricity to the total amount of energy is greater than a predetermined value, then according to each load The power factor is switched for energy mode.
  • the energy control device 14 may be a second processor 143, and the second processor 143 is configured to determine whether the total amount of power consumption is greater than or equal to the total amount of energy, wherein When the amount is greater than or equal to the total amount of energy, the energy is allocated according to the priority of each load. When the total amount of electricity is less than the total amount of energy, the energy mode switching is selected according to the power factor of each load.
  • the foregoing scheme for allocating energy according to the priority of each load may be implemented by: first, reading the priority of each load; and then, according to the priority The order is assigned energy sequentially to a predetermined number of loads.
  • the total amount of electricity used may refer to the total load capacity of all loads, and the total amount of energy may refer to the amount of power generation, and thus, a feasible solution of whether the ratio of the total amount of electricity used to the total amount of energy is less than or equal to a predetermined value. Is to verify that the power generation is less than 30% of the total load capacity.
  • the priority of each load can be preset, which can be divided according to the type of load, including: primary load (ie, important load, such as hospital surgery equipment, data service terminal, etc.), secondary load (ie, general load)
  • primary load ie, important load, such as hospital surgery equipment, data service terminal, etc.
  • secondary load ie, general load
  • the energy is allocated in order of priority, that is, the first-level load is preferentially allocated, thereby achieving reasonable allocation of energy according to the load category.
  • the above embodiment of the present application realizes that when the energy supply in the system is insufficient, the energy management system is allocated according to the priority, and the energy supply is preferentially obtained with high priority, that is, the energy data between the loads in the DC system is collected in real time ( After the electricity consumption and energy consumption), the energy distribution can be rationally optimized according to the demand in the case of insufficient energy (the power generation is less than 30% of the total load capacity), so as to achieve the effect of energy optimization configuration (priority)
  • the settings have been set at the factory, but the user can change them by manual.
  • the system is applied in a hospital.
  • the primary load can be an operating table, a monitoring system, emergency lighting, etc., and when the power generation is less than 30% of the total load capacity, the allocation principle must be met, and the highest priority one is preferentially supplied. Level load and issue an energy warning signal.
  • the foregoing solution for allocating energy according to the priority of each load may be implemented by comparing the power factor of each load with a corresponding predetermined power factor.
  • the power compensation device is activated to adjust the power factor of the system.
  • the above solution of the present application analyzes the power factor of each load by analyzing if the power factor of the branch of one load is low (may be a case where the power factor of the load is less than or equal to a predetermined power factor, wherein the range of the predetermined power factor It may be 0.85 to 0.95, and the preferred predetermined power factor may be 0.9), and the service terminal of the system automatically starts the power compensation device corresponding to the load, so that the power factor of the whole system is maximized (ie, may be greater than 0.9). The system switches to the optimal working mode.
  • the above embodiment realizes collecting, analyzing and comparing the energy usage of each load, and performing optimal energy mode switching according to requirements.
  • power factor is an important technical data of power system, and power factor is a coefficient to measure the efficiency of electrical equipment.
  • the low power factor indicates that the reactive power of the circuit for alternating magnetic field conversion is large, thereby reducing the utilization rate of the device and increasing the power loss of the line.
  • the cosine of the phase difference ( ⁇ ) between voltage and current is called the power factor and is represented by the symbol cos ⁇ .
  • the detecting and measuring device 12 in the above embodiment of the present application is wirelessly connected to the detecting device on each load, and the energy control device and the detecting and measuring device are wired, wherein the wireless connection includes at least one of the following forms: GPRS, 3G, WIFI ,Bluetooth.
  • the energy control device 14 shown in FIG. 2 of the present application can be used to reasonably allocate the energy provided by the energy supply device 10 according to the real-time energy data collected by the detection metering device 12, in which the detection and metering device 12 can take
  • the wireless control and the wired control coexist management control mode, wherein the energy control device 14 and the detection and metering device 12 can adopt wired control. Since the amount of data exchanged between the energy control device 14 and the detection and metering device 12 is large, wireless control is generated.
  • Transmission delay, and wired transmission can ensure real-time and efficient interaction of data; and each DC load detection device (such as power detection table) and detection and metering device 12 belong to remote data transmission, in order to improve the transmission speed between them, Therefore, wireless control can be employed between the detection devices of the respective DC loads (for example, the power detection table) and the detection and metering device 12.
  • DC load detection device such as power detection table
  • detection and metering device 12 belong to remote data transmission, in order to improve the transmission speed between them, Therefore, wireless control can be employed between the detection devices of the respective DC loads (for example, the power detection table) and the detection and metering device 12.
  • the system adopts wireless detection and control means, and the comprehensive control room controls the measuring and measuring device 12 and the detecting and measuring device 12 in a unified manner, which can quickly, efficiently and accurately collect, analyze and compare the energy usage of each module, according to the needs. Optimal energy mode switching.
  • the following functions may also be implemented: real-time monitoring energy data of each load to obtain fault information, according to the fault information. After determining the faulty load, it is necessary to cut off the faulty load and issue a fault alarm message.
  • the fault circuit of the system is monitored online by monitoring the energy data of each load in real time. Specifically, the collected current and voltage data can be compared and analyzed, and the abnormal region is locked, and the conventional troubleshooting method is adopted.
  • the load is determined to be faulty. For example, the abnormal area is cut off for a short period of time. During this period, data collection and analysis is performed to see if the fault is eliminated. If the fault is eliminated, the fault area can be locked and the relevant maintenance personnel can be notified to check. .
  • the present application provides a scheme for quickly cutting off a fault point when an abnormal fault occurs in the load by monitoring the power parameter conditions (voltage, current, reactive power, active power, and power consumption) of each load in real time. (Preferably in a wireless manner), and the summarized fault data is notified to the relevant personnel through the communication unit in the energy control device 14 for maintenance, and intelligent management is achieved.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • FIG. 3 is a flowchart of a distributed energy source control method according to Embodiment 2 of the present application. As shown in FIG. 3, the method includes the following steps:
  • step S30 the energy supply device 14 shown in FIG. 1 can be used to read the total amount of energy supplied by the energy supply device for each load in the system.
  • step S32 the energy data of each load acquired by the detecting and metering device 12 can be collected by the energy control device 14 shown in FIG. 1.
  • the energy data includes: a supply voltage, a supply current, a reactive power, an active power, and a power consumption. .
  • step S34 the total amount of power used for all loads in the system can be calculated by the energy control device 14 shown in FIG.
  • the energy distribution strategy can be determined by comparing the total amount of electricity used and the total amount of energy through the energy control device 14 shown in FIG. 1.
  • the energy distribution strategy includes: allocating energy according to the priority of each load, according to each The power factor of the load is used for energy mode switching.
  • the solution provided in the foregoing embodiment 2 of the present application determines the power demand data of each load by collecting energy data of each load in the system, and compares the total amount of power used by the load with the total amount of energy provided by the energy supply device of the system. After that, the current energy allocation strategy can be determined. Because of the above process, big data comparison analysis is carried out for the current power demand of each load, so that an optimal power distribution mode is determined to operate, and the dynamic power distribution mode cannot be provided in the power supply system, resulting in the power supply system working.
  • the problem of low efficiency and poor stability provides a power distribution mode for the load, which improves the efficiency, reliability and stability of the entire power supply system, thereby ensuring efficient, safe and reliable operation of the system.
  • the energy supply device in the above embodiment of the present application may include any one or more of the following: a renewable energy device connected to the energy control device, a grid power supply device, and a battery.
  • a renewable energy device connected to the energy control device
  • a grid power supply device may include any one or more of the following: a renewable energy device connected to the energy control device, a grid power supply device, and a battery.
  • the whole system is mainly used as a main source of load energy by renewable energy equipment such as photovoltaics and grid power supply equipment, and the battery is used as a power source.
  • the energy supply device 10 for providing renewable energy may include a photovoltaic module and other energy devices.
  • a combiner box may be installed between the energy supply device 10 and the energy control device 14 for The renewable energy provided by the photovoltaic modules and other energy devices is pooled and distributed to the energy control device 14.
  • the above battery is an energy storage module, and the renewable energy provided by the renewable energy device is insufficient and the commercial power supply provided by the grid power supply device is disconnected.
  • the battery can preferentially supply power to the highest priority load to ensure normal operation of the important load.
  • the detection and metering device 12 can collect the energy data returned by each load module, and the collected energy data is measured, and finally fed back to the energy control device 14 for unified management; the energy control device 14 analyzes the returned loads. Energy data to determine a reasonable energy allocation strategy, which is an energy-optimized configuration.
  • the power supply device may be an AC power grid, and when the renewable energy source provided by the energy supply device 10 is insufficient, the AC power grid may be used for power supply by switching.
  • the grid-connected power supply is sufficient, the battery is fully charged.
  • the power is off or the grid-connected power supply is insufficient, the battery is discharged and the battery is used as a backup power supply.
  • the main system operation requirements are maintained when the main energy source and the AC power grid are not powered.
  • the energy supply is less than 30% of the total load capacity, the primary load is preferentially supplied and some of the secondary load can be selectively powered.
  • the system in the above embodiment of the present application may further include: a DC power distribution panel connected between the energy control device and each DC load for generating an energy allocation instruction for each load according to an energy allocation policy.
  • the DC power distribution panel can perform an energy distribution function on the DC load, so that the energy supply device 10 generates an energy allocation command after determining the energy distribution policy.
  • the energy allocation command can complete the function of the energy distribution by the load according to the priority level, and the energy management system determines that the fault point sends a quick response to the cut command.
  • the step S36 of determining the energy allocation policy by comparing the total amount of power consumption and the total energy amount may include any one or more of the following embodiments:
  • Manner 1 Determine whether the ratio of the total amount of electricity used to the total amount of energy is less than or equal to a predetermined value. If the ratio of the total amount of electricity to the total amount of energy is less than or equal to a predetermined value, then the energy is selected according to the priority of each load. If the ratio of the total amount of electricity to the total amount of energy is greater than a predetermined value, then the energy mode switching is selected according to the power factor of each load.
  • Method 2 Determine whether the total amount of electricity used is greater than or equal to the total amount of energy. In the case that the total amount of electricity used is greater than or equal to the total amount of energy, the energy is allocated according to the priority of each load, and the total amount of electricity used is less than the energy. In the case of the total amount, the energy mode switching is selected according to the power factor of each load.
  • the step of allocating energy according to the priority of each load implemented in the foregoing manners 1 and 2 may include an implementation of: reading a priority of each load; and performing a predetermined number according to a priority order The load distributes energy in turn.
  • the total amount of electricity used may refer to the total load capacity of all loads, and the total amount of energy may refer to the amount of power generation, and thus, a feasible solution of whether the ratio of the total amount of electricity used to the total amount of energy is less than or equal to a predetermined value. Is to verify that the power generation is less than 30% of the total load capacity.
  • the priority of each load can be preset, which can be divided according to the type of load, including: primary load (ie, important load, such as hospital surgery equipment, data service terminal, etc.), secondary load (ie, general load)
  • primary load ie, important load, such as hospital surgery equipment, data service terminal, etc.
  • secondary load ie, general load
  • the energy is allocated in order of priority, that is, the first-level load is preferentially allocated, thereby achieving reasonable allocation of energy according to the load category.
  • the above embodiment of the present application realizes that when the energy supply in the system is insufficient, the energy management system will be prioritized.
  • priority to obtain energy supply that is, after real-time collection of energy data (power consumption and energy consumption) between various loads in the DC system, energy shortage (power generation is less than 30% of total load capacity)
  • energy shortage power generation is less than 30% of total load capacity
  • the energy distribution of the whole system is rationally optimized according to the demand, so as to achieve the effect of energy optimization configuration (the priority setting has been set at the factory, but the user can change it by the manual).
  • the system is applied in a hospital.
  • the primary load can be an operating table, a monitoring system, emergency lighting, etc., and when the power generation is less than 30% of the total load capacity, the allocation principle must be met, and the highest priority one is preferentially supplied. Level load and issue an energy warning signal.
  • the step of performing energy mode switching according to the power factor of each load implemented in the foregoing manners 1 and 2 may include the following embodiments: comparing the power factor of each load with a corresponding predetermined power factor; When the power factor of one or more loads is less than or equal to a corresponding predetermined power factor, the power compensation device is activated to adjust the power factor of the system.
  • the above solution of the present application analyzes the power factor of each load by analyzing if the power factor of the branch of one load is low (may be a case where the power factor of the load is less than or equal to a predetermined power factor, wherein the range of the predetermined power factor It may be 0.85 to 0.95, and the preferred predetermined power factor may be 0.9), and the service terminal of the system automatically starts the power compensation device corresponding to the load, so that the power factor of the whole system is maximized (ie, may be greater than 0.9). The system switches to the optimal working mode.
  • the above embodiment realizes collecting, analyzing and comparing the energy usage of each load, and performing optimal energy mode switching according to requirements.
  • power factor is an important technical data of power system, and power factor is a coefficient to measure the efficiency of electrical equipment.
  • the low power factor indicates that the reactive power of the circuit for alternating magnetic field conversion is large, thereby reducing the utilization rate of the device and increasing the power loss of the line.
  • the cosine of the phase difference ( ⁇ ) between voltage and current is called the power factor and is represented by the symbol cos ⁇ .
  • the detecting and measuring device 12 in the above embodiment of the present application is wirelessly connected to the detecting device on each load, and the energy control device and the detecting and measuring device are wired, wherein the wireless connection includes at least one of the following Forms: GPRS, 3G, WIFI, Bluetooth.
  • the energy control device 14 shown in FIG. 2 of the present application can be used to reasonably allocate the energy provided by the energy supply device 10 according to the real-time energy data collected by the detection metering device 12, in which the detection and metering device 12 can take
  • the wireless control and the wired control coexist management control mode, wherein the energy control device 14 and the detection and metering device 12 can adopt wired control. Since the amount of data exchanged between the energy control device 14 and the detection and metering device 12 is large, wireless control is generated.
  • each DC load detection device such as power detection table
  • detection and metering device 12 belong to remote data transmission, in order to improve the transmission speed between them, Therefore, each DC load detecting device (for example, a power detecting table) and the detecting metering device 12 It can be controlled wirelessly.
  • the system adopts wireless detection and control means, and the comprehensive control room controls the measuring and measuring device 12 and the detecting and measuring device 12 in a unified manner, which can quickly, efficiently and accurately collect, analyze and compare the energy usage of each module, according to the needs. Optimal energy mode switching.
  • step S32 after the energy data of each load is collected in step S32, the following steps may also be performed:
  • step S321 the energy data of each load is monitored in real time, and the fault information is obtained.
  • Step S323 determining the load in which the fault has occurred based on the fault information.
  • step S325 the faulty load is cut off, and the fault alarm information is sent.
  • the fault circuit of the system is monitored online by monitoring the energy data of each load in real time. Specifically, the collected current and voltage data can be compared and analyzed, and the abnormal region is locked, and the conventional troubleshooting measures are adopted. Determine the load that has failed. For example, short-circuit the abnormal area. During this period, perform data collection and analysis to see if the fault is eliminated. If the fault is eliminated, you can lock the fault area and notify the relevant maintenance personnel to go to the troubleshooting.
  • the present application provides a scheme for quickly cutting off a fault point when an abnormal fault occurs in the load by monitoring the power parameter conditions (voltage, current, reactive power, active power, and power consumption) of each load in real time. (Preferably in a wireless manner), and the summarized fault data is notified to the relevant personnel through the communication unit in the energy control device 14 for maintenance, and intelligent management is achieved.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • the distributed energy source control device may include: a reading module 40, an acquisition module 42, a calculation module 44, and a processing module 46.
  • the reading module 40 is configured to read the total amount of energy provided by the energy supply device for each load in the system, and the collecting module 42 is configured to collect energy data of each load, where the energy data includes: a supply voltage, a supply current, Reactive power, active power, and power consumption; a calculation module 44 for calculating the total amount of power used for all loads in the system; and a processing module 46 for determining the energy distribution by comparing the total amount of electricity used and the total amount of energy Strategy, energy allocation strategy includes: allocating energy according to the priority of each load, and switching energy mode according to the power factor of each load.
  • the processing module 46 may include: a determining module, configured to determine whether a ratio of the total amount of power used to the total amount of energy is less than or equal to a predetermined value; and the first sub-processing module is configured to use the total amount of electricity and the total amount of energy If the ratio is less than or equal to a predetermined value, the energy is allocated according to the priority of each load; and the second sub-processing module is configured to select the power according to each load if the ratio of the total amount of electricity to the total amount of energy is greater than a predetermined value. Factor for energy mode switching.
  • the first sub-processing module may include: an obtaining module, configured to read a priority of each load; and a first allocating module, configured to sequentially allocate energy to the predetermined number of loads in order of priority.
  • the second sub-processing module may include: a comparing module, configured to compare a power factor of each load with a corresponding predetermined power factor; and an adjusting module, configured to: when the power factor of any one or more loads is less than When equal to the corresponding predetermined power factor, the power compensation device is activated to adjust the power factor of the system.
  • a comparing module configured to compare a power factor of each load with a corresponding predetermined power factor
  • an adjusting module configured to: when the power factor of any one or more loads is less than When equal to the corresponding predetermined power factor, the power compensation device is activated to adjust the power factor of the system.
  • the device may further execute the following functional modules: a monitoring module, configured to monitor energy data of each load in real time, and obtain fault information; and a determining module, configured to determine that a fault has occurred according to the fault information.
  • the load; the fault handling module is used to cut off the faulty load and issue a fault alarm message.
  • modules or steps of the present application can be implemented by a general computing device, which can be concentrated on a single computing device or distributed in a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in a storage device by a computing device, or they may be fabricated into individual integrated circuit modules, or Multiple modules or steps are made into a single integrated circuit module. Thus, the application is not limited to any particular combination of hardware and software.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Development Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Water Supply & Treatment (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Public Health (AREA)
  • Electromagnetism (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Computer Hardware Design (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

一种分布式能源电源控制方法、装置及系统。其中，该方法包括：读取能源供给装置为系统中的各个负载提供的能源总量（S30）；采集每个负载的能源数据，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量（S32）；计算得到系统中所有负载的用电总量（S34）；通过比对用电总量和能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换（S36）。该方法、装置及系统能够实现为负载提供动态的配电模式，提高了整个供电系统的工作效率、可靠性和稳定性。

Description

分布式能源电源控制方法、装置及系统 技术领域
本申请涉及电气领域，具体而言，涉及一种分布式能源电源控制方法、装置及系统。
背景技术
传统交流配电系统所有组成部分(如供电、配电以及负载)之间关联非常密切，这种动态特性上的紧密联系的工作方式，会导致整个供电系统非常庞大。在这个庞大的电力系统中，所有动态变化必须足够缓慢才能保证控制的可靠性和系统的稳定性。所以难以对电网中的突发事件作出迅速的反应，因此控制速度缓慢，可靠性与稳定性不高。
目前针对相关技术的供电系统中无法提供动态的配电模式，导致供电系统工作效率低且稳定性差的问题，目前尚未提出有效的解决方案。
发明内容
针对相关技术的供电系统中无法提供动态的配电模式，导致供电系统工作效率低且稳定性差的问题，目前尚未提出有效的解决方案，为此，本发明的主要目的在于提供一种分布式能源电源控制方法、装置及系统，以解决上述问题。
为了实现上述目的，根据本发明的一个方面，提供了一种分布式能源电源控制方法，该方法包括：读取能源供给装置为系统中的各个负载提供的能源总量；采集每个负载的能源数据，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；计算得到系统中所有负载的用电总量；通过比对用电总量和能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换。
为了实现上述目的，根据本发明的另一方面，提供了一种分布式能源电源控制装置，该装置包括：读取模块，用于读取能源供给装置为系统中的各个负载提供的能源总量；采集模块，用于采集每个负载的能源数据，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；计算模块，用于计算得到系统中所有负载的用电总量；处理模块，用于通过比对用电总量和能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换。
为了实现上述目的，根据本发明的又一方面，提供了一种分布式能源电源控制系统，该系统包括：能源供给装置，用于为系统中的各个负载提供能源；检测计量装置，与各个负载上的检测装置进行通信，采集检测装置检测到的每个负载的能源数据，并计算得到系统中所有负载的用电总量，其中，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；能源控制装置，与检测计量装置连接，用于通过比对用电总量和提供给各个负载的能 源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换。
通过本发明，采用读取能源供给装置为系统中的各个负载提供的能源总量；采集每个负载的能源数据，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；计算得到系统中所有负载的用电总量；通过比对用电总量和能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换，解决了供电系统中无法提供动态的配电模式，导致供电系统工作效率低且稳定性差的问题，进而实现为负载提供动他的配电模式，提高了整个供电系统的工作效率、可靠性和稳定性的效果。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是根据本申请实施例一的分布式能源电源控制系统的结构示意图；
图2是根据本申请实施例一的一种可选的分布式能源电源控制系统的详细结构示意图；
图3是根据本申请实施例二的分布式能源电源控制方法的流程图；以及
图4是根据本申请实施例三的分布式能源电源控制装置的结构示意图。
具体实施方式
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分的实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本申请保护的范围。
需要说明的是，本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
实施例一：
在其最基本的配置中，图1是根据本申请实施例一的分布式能源电源控制系统的结构示意图。如图1所示，该分布式能源电源控制系统可以包括：能源供给装置10、检测计量装置12和能源控制装置14。
其中，能源供给装置10，用于为系统中的各个负载提供能源；检测计量装置12，与各个负载上的检测装置进行通信，采集检测装置检测到每个负载的能源数据，并计算得到系统中所有负载的用电总量，其中，能源数据可以包括：供电电压、供电电流、无功功率、有功功率和用电量；能源控制装置14，与检测计量装置12连接，用于通过比对用电总量和提供给各个负载的能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换。
本申请上述实施例一提供的方案，通过检测计量装置12采集系统中各个负载的能源数据来确定每个负载的电能需求数据，在能源控制装置14将负载的用电总量与系统的能源供给装置提供的能源总量进行比对之后，可以确定当前的能源分配策略。由于上述过程中，针对当前每个负载的电能需求进行了大数据对比分析，从而确定了一个最优的电能分配模式进行运行，解决了供电系统中无法提供动态的配电模式，导致供电系统工作效率低且稳定性差的问题，进而实现为负载提供动他的配电模式，提高了整个供电系统的工作效率、可靠性和稳定性的效果，从而确保系统进行高效、安全、可靠的工作。
优选地，本申请上述实施例中的能源供给装置可以包括以下任意一个或多个设备：与能源控制装置连接的再生能源设备、电网供电设备和蓄电池。此处需要说明的是，整个系统由光伏等可再生能源设备和电网供电设备作为负载能源的主要供应，蓄电池作为配用电源。
结合图2可知，上述用于提供可再生能源的能源供给装置10可以包括光伏组件和其他能源设备，优选地，在能源供给装置10与能源控制装置14之间可以安装一个汇流箱，用于将光伏组件和其他能源设备提供的可再生能源汇在一起往下分配给能源控制装置14。上述蓄电池是一种储能模块，在再生能源设备提供的可再生能源不足和电网供电设备提供的市电断开的情况下，蓄电池开始给负载提供电能，一种优选实施例中，蓄电池可以优先对优先级最高的负载进行供电，保证重要负载的正常工作。
其中，检测计量装置12可以收集各负载模块返回的能源数据，并将采集到的能源数据通过计量之后，最终反馈给能源控制装置14，由其统一管理；能源控制装置14通过分析返回的各个负载的能源数据，来确定一个合理的能源分配策略，该能源分配策略是一种能源优化配置的方案。
此处还需要说明的是，上述供电设备可以是交流电网，当能源供给装置10提供的可再生能源不足时，可通过切换来利用交流电网来供电。当并网运行供电充足时，蓄电池处于充满电状态，当停电或并网供电不足时，蓄电池放电使用，蓄电池作为后备电源，在主要能源和交流电网都不供电情况下维持整系统运行需求，待能源供应量低于总负载容量的30％的情况下，优先对一级负载供电，并可选择性地给部分二级负载供电。
优选地，结合图2可知，本申请上述实施例中的系统还可以包括：直流配电盘，连接于 能源控制装置10和各个直流负载之间，用于根据能源分配策略生成每个负载的能源分配指令。具体的，该直流配电盘可以对直流负载进行能量分配功能，使得能源供给装置10在确定能源分配策略之后生成的能源分配命令。一种更可选实施例中，该能源分配命令可以完成负载按优先级别进行能源分配的功能，且对能源管理系统判断出故障点发出切断命令的快速反应。
本申请上述实施例中，能源控制装置14可以包括：第一处理器141或者第二处理器143。
在本申请提供的一种可选方案中，能源控制装置14可以是第一处理器141，第一处理器141用于判断用电总量与能源总量的比值是否小于等于预定值，其中，如果用电总量与能源总量的比值小于等于预定值，则选择按照每个负载的优先级来分配能源，如果用电总量与能源总量的比值大于预定值，则选择根据每个负载的功率因数进行能源模式切换。
在本申请提供的另一种可选方案中，能源控制装置14可以是第二处理器143，第二处理器143用于判断用电总量是否大于等于能源总量，其中，在用电总量大于等于能源总量的情况下，选择按照每个负载的优先级来分配能源，在用电总量小于能源总量的情况下，选择根据每个负载的功率因数进行能源模式切换。
优选地，本申请提供的第一种可选方案中，上述按照每个负载的优先级来分配能源的方案可以通过如下步骤实现：首先，读取每个负载的优先级；然后，按照优先级的顺序对预定数量的负载依次分配能源。
具体的，上述用电总量可以是指所有负载的总负载容量，能源总量可以是指发电量，由此，用电总量与能源总量的比值是否小于等于预定值的一种可行方案是验证发电量是否低于总负载容量的30％。
本申请中可以预先设定每个负载的优先级，可以根据负载的类别进行划分，包括：一级负载(即重要负载，如医院手术设备、数据服务终端等)、二级负载(即一般负载，如照明等)等多级负载，在确定所有负载的优先级之后，按照优先级顺序来分配能源，即对一级负载优先分配，从而实现按照负载类别进行能源的合理分配。
由此，本申请上述实施例实现了，当系统中能源供应不足，能源管理系统会按优先级分配，优先级高的优先获得能源供应，即在实时采集直流系统中各个负载间的能源数据(用电量及能耗)之后，可以在能源不足(发电量低于总负载容量的30％)情况下，根据需求对整系统作出能源分配的合理优化，从而达到能源优化配置的效果(优先级的设定出厂已经设置好，但是用户可以通过说明书自行变更)。
例如，系统应用在医院中，一级负载可以是手术台、监控系统、应急照明等，在发电量低于总负载容量的30％情况下，必须满足此分配原则，优先供应优先级最高的一级负载，并发出能源预警信号。
优选地，本申请提供的第二种可选方案中，上述按照每个负载的优先级来分配能源的方案可以通过如下步骤实现：将每个负载的功率因数分别与对应的预定功率因数进行比较；当任意一个或多个负载的功率因数小于等于对应的预定功率因数时，启动功率补偿装置来调整系统的功率因数。
本申请上述方案通过对每个负载的功率因数进行比对分析，如果某一个负载的支路功率因数偏低(可以是负载的功率因数小于等于预定功率因数的情况，其中，预定功率因数的范围可以是0.85至0.95，优选的预定功率因数可以是0.9)，系统的服务终端会自动启动该负载对应的功率补偿装置，使得整系统的功率因数的最大化(即可以是大于0.9)，此时，系统切换到了最优工作模式。
由此，上述实施例实现了对各个负载的能源使用情况进行采集、分析对比，根据需要进行最优能源模式切换。
此处需要说明的是，功率因数是电力系统的一个重要的技术数据，功率因数是衡量电气设备效率高低的一个系数。功率因数低，说明电路用于交变磁场转换的无功功率大，从而降低了设备的利用率，增加了线路供电损失。在交流电路中，电压与电流之间的相位差(φ)的余弦叫做功率因数，用符号cosφ表示，在数值上，功率因数是有功功率和视在功率的比值，即cosφ＝P/S，功率因数既然表示了总功率中有功功率所占的比例，显然在任何情况下功率因数都不可能大于1。由功率三角形可见，当φ＝0°即交流电路中电压与电流同相位时，有功功率等于视在功率。这时cosφ的值最大，即cosφ＝1，当电路中只有纯阻性负载，或电路中感抗与容抗相等时，才会出现这种情况。
本申请上述实施例中的检测计量装置12与各个负载上的检测装置进行无线连接，能源控制装置与检测计量装置进行有线连接，其中，无线连接至少包括以下任意一种形式：GPRS，3G，WIFI，蓝牙。
具体的，利用本申请图2所示的能源控制装置14可以实现，根据检测计量装置12采集到的实时能源数据来合理分配能源供给装置10提供的能源，该过程中，检测计量装置12可以采取无线控制和有线控制并存管理控制方式，其中，能源控制装置14与检测计量装置12可以采用有线控制，由于能源控制装置14与检测计量装置12之间交互的数据量较大，采用无线控制会产生传输滞后，而采用有线传输可以保证数据实时高效的交互；而各个直流负载的检测装置(例如电能检测表)与检测计量装置12之间属于远程数据传输，为了提高他们之间的传输速度快，因此，各个直流负载的检测装置(例如电能检测表)与检测计量装置12之间可以采用无线控制。
由此可知，整个能源管理系统在通过能源控制装置14对各个负载的能源使用情况进行采集、分析、对比的过程中，由于需要对使用电能的主要参数进行实时监控调节，因此，为了确保用电高效性和可靠性，系统采取无线检测控制手段，由综控室对检测计量装置12和检测计量装置12进行统一管控，可以快速高效准确地对各模块能源使用情况进行采集、分析对比，根据需要进行最优能源模式切换。
优选地，本申请上述实施例提供的方案中，在检测计量装置12采集每个负载的能源数据之后，还可以实现如下功能：实时监测每个负载的能源数据来获取故障信息，在根据故障信息确定发生了故障的负载之后，需要切断发生了故障的负载，并发出故障报警信息。
本申请上述实施例，通过实时监测每个负载的能源数据对系统的故障回路进行在线监测，具体的，可以把采集回来的电流电压数据进行对比分析，锁定异常区域，通过常规的排故措 施来确定发生了故障的负载，例如：短时切断异常区域，在这段时间内再进行数据采集分析，看故障是否排除，如果故障排除，则可以锁定故障区域，并通知相关维修人员前往排查。
由此可知，本申请提供了一种通过实时监测各负载的电能参数情况(电压、电流、无功功率、有功功率、用电量)，来对负载发生异常故障时采取快速切断故障点的方案(优选采用无线方式)，并将汇总后的故障数据通过能源控制装置14中的通讯单元通知相关人员前往检修，达到智能化管理。
此处需要说明的是，在检测到负载出现故障信息时，需要自动分析对比，对确认故障信息的负载采取快速切断的，并对切断故障点后，该负载的电能数据进行采集分析，确认故障已经排出，保证整系统用电安全、可靠、高效。
实施例二：
图3是根据本申请实施例二的分布式能源电源控制方法的流程图。如图3所示该方法包括如下步骤：
步骤S30，可以通过图1所示的能源控制装置14来读取能源供给装置为系统中的各个负载提供的能源总量。
步骤S32，可以通过图1所示的能源控制装置14来采集检测计量装置12获取到的每个负载的能源数据，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量。
步骤S34，可以通过图1所示的能源控制装置14来计算得到系统中所有负载的用电总量。
步骤S36，可以通过图1所示的能源控制装置14实现通过比对用电总量和能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换。
本申请上述实施例二提供的方案，通过采集系统中各个负载的能源数据来确定每个负载的电能需求数据，在将负载的用电总量与系统的能源供给装置提供的能源总量进行比对之后，可以确定当前的能源分配策略。由于上述过程中，针对当前每个负载的电能需求进行了大数据对比分析，从而确定了一个最优的电能分配模式进行运行，解决了供电系统中无法提供动态的配电模式，导致供电系统工作效率低且稳定性差的问题，进而实现为负载提供动他的配电模式，提高了整个供电系统的工作效率、可靠性和稳定性的效果，从而确保系统进行高效、安全、可靠的工作。
优选地，本申请上述实施例中的能源供给装置可以包括以下任意一个或多个设备：与能源控制装置连接的再生能源设备、电网供电设备和蓄电池。此处需要说明的是，整个系统由光伏等可再生能源设备和电网供电设备作为负载能源的主要供应，蓄电池作为配用电源。
结合图2可知，上述用于提供可再生能源的能源供给装置10可以包括光伏组件和其他能源设备，优选地，在能源供给装置10与能源控制装置14之间可以安装一个汇流箱，用于将光伏组件和其他能源设备提供的可再生能源汇在一起往下分配给能源控制装置14。上述蓄电池是一种储能模块，在再生能源设备提供的可再生能源不足和电网供电设备提供的市电断开 的情况下，蓄电池开始给负载提供电能，一种优选实施例中，蓄电池可以优先对优先级最高的负载进行供电，保证重要负载的正常工作。
其中，检测计量装置12可以收集各负载模块返回的能源数据，并将采集到的能源数据通过计量之后，最终反馈给能源控制装置14，由其统一管理；能源控制装置14通过分析返回的各个负载的能源数据，来确定一个合理的能源分配策略，该能源分配策略是一种能源优化配置的方案。
此处还需要说明的是，上述供电设备可以是交流电网，当能源供给装置10提供的可再生能源不足时，可通过切换来利用交流电网来供电。当并网运行供电充足时，蓄电池处于充满电状态，当停电或并网供电不足时，蓄电池放电使用，蓄电池作为后备电源，在主要能源和交流电网都不供电情况下维持整系统运行需求，待能源供应量低于总负载容量的30％的情况下，优先对一级负载供电，并可选择性地给部分二级负载供电。
优选地，结合图2可知，本申请上述实施例中的系统还可以包括：直流配电盘，连接于能源控制装置和各个直流负载之间，用于根据能源分配策略生成每个负载的能源分配指令。具体的，该直流配电盘可以对直流负载进行能量分配功能，使得能源供给装置10在确定能源分配策略之后生成的能源分配命令。一种更可选实施例中，该能源分配命令可以完成负载按优先级别进行能源分配的功能，且对能源管理系统判断出故障点发出切断命令的快速反应。
优选的，本申请上述实施例一中，通过比对用电总量和能源总量，确定能源分配策略的步骤S36可以包括如下任意一种或多种实施方式：
方式一：判断用电总量与能源总量的比值是否小于等于预定值，其中，如果用电总量与能源总量的比值小于等于预定值，则选择按照每个负载的优先级来分配能源，如果用电总量与能源总量的比值大于预定值，则选择根据每个负载的功率因数进行能源模式切换。
方式二：判断用电总量是否大于等于能源总量，其中，在用电总量大于等于能源总量的情况下，选择按照每个负载的优先级来分配能源，在用电总量小于能源总量的情况下，选择根据每个负载的功率因数进行能源模式切换。
优选地，上述方式一和方式二中实现的按照每个负载的优先级来分配能源的步骤可以包括如下一种实施方案：读取每个负载的优先级；按照优先级的顺序对预定数量的负载依次分配能源。
具体的，上述用电总量可以是指所有负载的总负载容量，能源总量可以是指发电量，由此，用电总量与能源总量的比值是否小于等于预定值的一种可行方案是验证发电量是否低于总负载容量的30％。
本申请中可以预先设定每个负载的优先级，可以根据负载的类别进行划分，包括：一级负载(即重要负载，如医院手术设备、数据服务终端等)、二级负载(即一般负载，如照明等)等多级负载，在确定所有负载的优先级之后，按照优先级顺序来分配能源，即对一级负载优先分配，从而实现按照负载类别进行能源的合理分配。
由此，本申请上述实施例实现了，当系统中能源供应不足，能源管理系统会按优先级分 配，优先级高的优先获得能源供应，即在实时采集直流系统中各个负载间的能源数据(用电量及能耗)之后，可以在能源不足(发电量低于总负载容量的30％)情况下，根据需求对整系统作出能源分配的合理优化，从而达到能源优化配置的效果(优先级的设定出厂已经设置好，但是用户可以通过说明书自行变更)。
例如，系统应用在医院中，一级负载可以是手术台、监控系统、应急照明等，在发电量低于总负载容量的30％情况下，必须满足此分配原则，优先供应优先级最高的一级负载，并发出能源预警信号。
优选地，上述方式一和方式二中实现的根据每个负载的功率因数进行能源模式切换的步骤可以包括如下实施方案：将每个负载的功率因数分别与对应的预定功率因数进行比较；当任意一个或多个负载的功率因数小于等于对应的预定功率因数时，启动功率补偿装置来调整系统的功率因数。
本申请上述方案通过对每个负载的功率因数进行比对分析，如果某一个负载的支路功率因数偏低(可以是负载的功率因数小于等于预定功率因数的情况，其中，预定功率因数的范围可以是0.85至0.95，优选的预定功率因数可以是0.9)，系统的服务终端会自动启动该负载对应的功率补偿装置，使得整系统的功率因数的最大化(即可以是大于0.9)，此时，系统切换到了最优工作模式。
由此，上述实施例实现了对各个负载的能源使用情况进行采集、分析对比，根据需要进行最优能源模式切换。
此处需要说明的是，功率因数是电力系统的一个重要的技术数据，功率因数是衡量电气设备效率高低的一个系数。功率因数低，说明电路用于交变磁场转换的无功功率大，从而降低了设备的利用率，增加了线路供电损失。在交流电路中，电压与电流之间的相位差(φ)的余弦叫做功率因数，用符号cosφ表示，在数值上，功率因数是有功功率和视在功率的比值，即cosφ＝P/S，功率因数既然表示了总功率中有功功率所占的比例，显然在任何情况下功率因数都不可能大于1。由功率三角形可见，当φ＝0°即交流电路中电压与电流同相位时，有功功率等于视在功率。这时cosφ的值最大，即cosφ＝1，当电路中只有纯阻性负载，或电路中感抗与容抗相等时，才会出现这种情况。
此处需要重点说明的是，本申请上述实施例中的检测计量装置12与各个负载上的检测装置进行无线连接，能源控制装置与检测计量装置进行有线连接，其中，无线连接至少包括以下任意一种形式：GPRS，3G，WIFI，蓝牙。
具体的，利用本申请图2所示的能源控制装置14可以实现，根据检测计量装置12采集到的实时能源数据来合理分配能源供给装置10提供的能源，该过程中，检测计量装置12可以采取无线控制和有线控制并存管理控制方式，其中，能源控制装置14与检测计量装置12可以采用有线控制，由于能源控制装置14与检测计量装置12之间交互的数据量较大，采用无线控制会产生传输滞后，而采用有线传输可以保证数据实时高效的交互；而各个直流负载的检测装置(例如电能检测表)与检测计量装置12之间属于远程数据传输，为了提高他们之间的传输速度快，因此，各个直流负载的检测装置(例如电能检测表)与检测计量装置12之 间可以采用无线控制。
由此可知，整个能源管理系统在通过能源控制装置14对各个负载的能源使用情况进行采集、分析、对比的过程中，由于需要对使用电能的主要参数进行实时监控调节，因此，为了确保用电高效性和可靠性，系统采取无线检测控制手段，由综控室对检测计量装置12和检测计量装置12进行统一管控，可以快速高效准确地对各模块能源使用情况进行采集、分析对比，根据需要进行最优能源模式切换。
优选地，在本申请实施例二提供的一种可选实施例中，在步骤S32实现采集每个负载的能源数据之后，还可以执行如下步骤：
步骤S321，实时监测每个负载的能源数据，获取故障信息。
步骤S323，根据故障信息确定发生了故障的负载。
步骤S325，切断发生了故障的负载，并发出故障报警信息。
本申请上述实施例，通过实时监测每个负载的能源数据对系统的故障回路进行在线监测，具体的，可以把采集回来的电流电压数据进行对比分析，锁定异常区域，通过常规的排故措施来确定发生了故障的负载，例如：短时切断异常区域，在这段时间内再进行数据采集分析，看故障是否排除，如果故障排除，则可以锁定故障区域，并通知相关维修人员前往排查。
由此可知，本申请提供了一种通过实时监测各负载的电能参数情况(电压、电流、无功功率、有功功率、用电量)，来对负载发生异常故障时采取快速切断故障点的方案(优选采用无线方式)，并将汇总后的故障数据通过能源控制装置14中的通讯单元通知相关人员前往检修，达到智能化管理。
此处需要说明的是，在检测到负载出现故障信息时，需要自动分析对比，对确认故障信息的负载采取快速切断的，并对切断故障点后，该负载的电能数据进行采集分析，确认故障已经排出，保证整系统用电安全、可靠、高效。
需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
实施例三：
图4是根据本申请实施例三的分布式能源电源控制装置的结构示意图。如图4所示，该分布式能源电源控制装置可以包括：读取模块40、采集模块42、计算模块44、处理模块46。
其中，读取模块40，用于读取能源供给装置为系统中的各个负载提供的能源总量；采集模块42，用于采集每个负载的能源数据，能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；计算模块44，用于计算得到系统中所有负载的用电总量；处理模块46，用于通过比对用电总量和能源总量，确定能源分配策略，能源分配策略包括：按照每个负载的优先级来分配能源、根据每个负载的功率因数进行能源模式切换。
优选地，上述处理模块46可以包括：判断模块，用于判断用电总量与能源总量的比值是否小于等于预定值；第一子处理模块，用于如果用电总量与能源总量的比值小于等于预定值，则选择按照每个负载的优先级来分配能源；第二子处理模块，用于如果用电总量与能源总量的比值大于预定值，则选择根据每个负载的功率因数进行能源模式切换。
优选地，上述第一子处理模块可以包括：获取模块，用于读取每个负载的优先级；第一分配模块，用于按照优先级的顺序对预定数量的负载依次分配能源。
优选地，上述第二子处理模块可以包括：比较模块，用于将每个负载的功率因数分别与对应的预定功率因数进行比较；调整模块，用于当任意一个或多个负载的功率因数小于等于对应的预定功率因数时，启动功率补偿装置来调整系统的功率因数。
优选地，上述实施例在执行采集模块之后，装置还可以执行如下功能模块：监测模块，用于实时监测每个负载的能源数据，获取故障信息；确定模块，用于根据故障信息确定发生了故障的负载；故障处理模块，用于切断发生了故障的负载，并发出故障报警信息。
显然，本领域的技术人员应该明白，上述的本申请的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本申请不限制于任何特定的硬件和软件结合。
以上所述仅为本申请的优选实施例而已，并不用于限制本申请，对于本领域的技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的保护范围之内。

Claims (14)

  1. 一种分布式能源电源控制方法，其特征在于，包括：
    读取能源供给装置为系统中的各个负载提供的能源总量；
    采集每个负载的能源数据，所述能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；
    计算得到所述系统中所有负载的用电总量；
    通过比对所述用电总量和所述能源总量，确定能源分配策略，所述能源分配策略包括：按照所述每个负载的优先级来分配能源、根据所述每个负载的功率因数进行能源模式切换。
  2. 根据权利要求1所述的方法，其特征在于，通过比对所述用电总量和所述能源总量，确定能源分配策略的步骤包括如下任意一种或多种实施方式：
    方式一：判断所述用电总量与所述能源总量的比值是否小于等于预定值，其中，如果所述用电总量与所述能源总量的比值小于等于所述预定值，则选择按照所述每个负载的优先级来分配能源，如果所述用电总量与所述能源总量的比值大于所述预定值，则选择根据所述每个负载的功率因数进行能源模式切换；
    方式二：判断所述用电总量是否大于等于所述能源总量，其中，在所述用电总量大于等于所述能源总量的情况下，选择按照所述每个负载的优先级来分配能源，在所述用电总量小于所述能源总量的情况下，选择根据所述每个负载的功率因数进行能源模式切换。
  3. 根据权利要求1或2所述的方法，其特征在于，按照所述每个负载的优先级来分配能源的步骤包括：
    读取所述每个负载的优先级；
    按照所述优先级的顺序对预定数量的负载依次分配所述能源。
  4. 根据权利要求1或2所述的方法，其特征在于，根据所述每个负载的功率因数进行能源模式切换的步骤包括：
    将所述每个负载的功率因数分别与对应的预定功率因数进行比较；
    当任意一个或多个负载的功率因数小于等于所述对应的预定功率因数时，启动功率补偿装置来调整所述系统的功率因数。
  5. 根据权利要求1所述的方法，其特征在于，在采集每个负载的能源数据之后，所述方法还包括：
    实时监测所述每个负载的能源数据，获取故障信息；
    根据所述故障信息确定发生了故障的负载；
    切断发生了所述故障的负载，并发出故障报警信息。
  6. 一种分布式能源电源控制装置，其特征在于，包括：
    读取模块，用于读取能源供给装置为系统中的各个负载提供的能源总量；
    采集模块，用于采集每个负载的能源数据，所述能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；
    计算模块，用于计算得到所述系统中所有负载的用电总量；
    处理模块，用于通过比对所述用电总量和所述能源总量，确定能源分配策略，所述能源分配策略包括：按照所述每个负载的优先级来分配能源、根据所述每个负载的功率因数进行能源模式切换。
  7. 根据权利要求6所述的装置，其特征在于，所述处理模块包括：
    判断模块，用于判断所述用电总量与所述能源总量的比值是否小于等于预定值；
    第一子处理模块，用于如果所述用电总量与所述能源总量的比值小于等于所述预定值，则选择按照所述每个负载的优先级来分配能源；
    第二子处理模块，用于如果所述用电总量与所述能源总量的比值大于所述预定值，则选择根据所述每个负载的功率因数进行能源模式切换。
  8. 根据权利要求6或7所述的装置，其特征在于，所述第一子处理模块包括：
    获取模块，用于读取所述每个负载的优先级；
    第一分配模块，用于按照所述优先级的顺序对预定数量的负载依次分配所述能源。
  9. 根据权利要求6或7所述的装置，其特征在于，所述第二子处理模块包括：
    比较模块，用于将所述每个负载的功率因数分别与对应的预定功率因数进行比较；
    调整模块，用于当任意一个或多个负载的功率因数小于等于所述对应的预定功率因数时，启动功率补偿装置来调整所述系统的功率因数。
  10. 根据权利要求7所述的装置，其特征在于，在执行采集模块之后，所述装置还包括：
    监测模块，用于实时监测所述每个负载的能源数据，获取故障信息；
    确定模块，用于根据所述故障信息确定发生了故障的负载；
    故障处理模块，用于切断发生了所述故障的负载，并发出故障报警信息。
  11. 一种分布式能源电源控制系统，其特征在于，包括：
    能源供给装置，用于为系统中的各个负载提供能源；
    检测计量装置，与所述各个负载上的检测装置进行通信，采集检测到的每个负载的能源数据，并计算得到所述系统中所有负载的用电总量，其中，所述能源数据包括：供电电压、供电电流、无功功率、有功功率和用电量；
    能源控制装置，与所述检测计量装置连接，用于通过比对所述用电总量和提供给所述各个负载的能源总量，确定能源分配策略，所述能源分配策略包括：按照所述每个负载的优先级来分配能源、根据所述每个负载的功率因数进行能源模式切换。
  12. 根据权利要求11所述的系统，其特征在于，所述能源控制装置包括：
    第一处理器，用于判断所述用电总量与所述能源总量的比值是否小于等于预定值，其中，如果所述用电总量与所述能源总量的比值小于等于所述预定值，则选择按照所述每个负载的优先级来分配能源，如果所述用电总量与所述能源总量的比值大于所述预定值，则选择根据所述每个负载的功率因数进行能源模式切换；或者，
    第二处理器，用于判断所述用电总量是否大于等于所述能源总量，其中，在所述用电总量大于等于所述能源总量的情况下，选择按照所述每个负载的优先级来分配能源，在所述用电总量小于所述能源总量的情况下，选择根据所述每个负载的功率因数进行能源模式切换。
  13. 根据权利要求11或12所述的系统，其特征在于，所述检测计量装置与所述各个负载上的检测装置进行无线连接，所述能源控制装置与所述检测计量装置进行有线连接，其中，所述无线连接至少包括以下任意一种形式：GPRS，3G，WIFI，蓝牙。
  14. 根据权利要求11或12所述的系统，其特征在于，所述能源供给装置包括以下任意一个或多个设备：与所述能源控制装置连接的再生能源设备、电网供电设备和蓄电池；
    所述系统还包括：直流配电盘，连接于所述能源控制装置和所述各个负载之间，用于根据所述能源分配策略生成所述每个负载的能源分配指令。
PCT/CN2015/087846 2014-08-26 2015-08-21 分布式能源电源控制方法、装置及系统 WO2016029825A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AU2015309395A AU2015309395B2 (en) 2014-08-26 2015-08-21 Distributed energy power source control method, device and system
US15/506,297 US10147148B2 (en) 2014-08-26 2015-08-21 Distributed energy power source control method, apparatus and system for providing loads with dynamic power distribution modes
EP15836487.7A EP3188339A4 (en) 2014-08-26 2015-08-21 Distributed energy power source control method, device and system
CA2959187A CA2959187C (en) 2014-08-26 2015-08-21 Distributed energy power source control method, apparatus and system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201410425614.4 2014-08-26
CN201410425614.4A CN105449719B (zh) 2014-08-26 2014-08-26 分布式能源电源控制方法、装置及系统

Publications (1)

Publication Number Publication Date
WO2016029825A1 true WO2016029825A1 (zh) 2016-03-03

Family

ID=55398755

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/087846 WO2016029825A1 (zh) 2014-08-26 2015-08-21 分布式能源电源控制方法、装置及系统

Country Status (6)

Country Link
US (1) US10147148B2 (zh)
EP (1) EP3188339A4 (zh)
CN (1) CN105449719B (zh)
AU (1) AU2015309395B2 (zh)
CA (1) CA2959187C (zh)
WO (1) WO2016029825A1 (zh)

Families Citing this family (150)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11871901B2 (en) 2012-05-20 2024-01-16 Cilag Gmbh International Method for situational awareness for surgical network or surgical network connected device capable of adjusting function based on a sensed situation or usage
US11504192B2 (en) 2014-10-30 2022-11-22 Cilag Gmbh International Method of hub communication with surgical instrument systems
CN108352706B (zh) * 2015-06-10 2021-09-14 布瑞威利私人有限公司 电器中的功率共享
FR3039683B1 (fr) * 2015-07-30 2022-04-22 Parkeon Procede de gestion, produit programme d'ordinateur, support d'informations, et systeme de gestion associe
CN106026395A (zh) * 2016-06-20 2016-10-12 河北箱变电器有限公司 一种电力系统远程智能监控系统
CN106571625A (zh) * 2016-07-06 2017-04-19 河北箱变电器有限公司 一种电量调配系统
CN106058866A (zh) * 2016-07-15 2016-10-26 陈卫 基于大数据的供电方法
CN106058940B (zh) * 2016-07-25 2018-10-12 党祺云 一种基于大数据的电力绿色能源链接系统及方法
US10833530B2 (en) * 2016-12-02 2020-11-10 Eaton Intelligent Power Limited Optimal network reconfiguration path searching based on optimization for networks including renewable sources
US10965124B2 (en) * 2017-01-27 2021-03-30 Duke Energy Corporation Apparatuses including power electronics circuitry, and related methods of operation
CN107196347B (zh) * 2017-06-16 2020-08-04 深圳市盛路物联通讯技术有限公司 一种电力调节方法及装置
US11759224B2 (en) 2017-10-30 2023-09-19 Cilag Gmbh International Surgical instrument systems comprising handle arrangements
US11291510B2 (en) 2017-10-30 2022-04-05 Cilag Gmbh International Method of hub communication with surgical instrument systems
US11801098B2 (en) 2017-10-30 2023-10-31 Cilag Gmbh International Method of hub communication with surgical instrument systems
US11317919B2 (en) 2017-10-30 2022-05-03 Cilag Gmbh International Clip applier comprising a clip crimping system
US11510741B2 (en) 2017-10-30 2022-11-29 Cilag Gmbh International Method for producing a surgical instrument comprising a smart electrical system
US11564756B2 (en) 2017-10-30 2023-01-31 Cilag Gmbh International Method of hub communication with surgical instrument systems
US11911045B2 (en) 2017-10-30 2024-02-27 Cllag GmbH International Method for operating a powered articulating multi-clip applier
US11311342B2 (en) 2017-10-30 2022-04-26 Cilag Gmbh International Method for communicating with surgical instrument systems
US11413042B2 (en) 2017-10-30 2022-08-16 Cilag Gmbh International Clip applier comprising a reciprocating clip advancing member
US11678881B2 (en) 2017-12-28 2023-06-20 Cilag Gmbh International Spatial awareness of surgical hubs in operating rooms
US11969142B2 (en) 2017-12-28 2024-04-30 Cilag Gmbh International Method of compressing tissue within a stapling device and simultaneously displaying the location of the tissue within the jaws
US11998193B2 (en) 2017-12-28 2024-06-04 Cilag Gmbh International Method for usage of the shroud as an aspect of sensing or controlling a powered surgical device, and a control algorithm to adjust its default operation
US11589888B2 (en) 2017-12-28 2023-02-28 Cilag Gmbh International Method for controlling smart energy devices
US11132462B2 (en) 2017-12-28 2021-09-28 Cilag Gmbh International Data stripping method to interrogate patient records and create anonymized record
US11324557B2 (en) 2017-12-28 2022-05-10 Cilag Gmbh International Surgical instrument with a sensing array
US11832899B2 (en) 2017-12-28 2023-12-05 Cilag Gmbh International Surgical systems with autonomously adjustable control programs
US11529187B2 (en) 2017-12-28 2022-12-20 Cilag Gmbh International Surgical evacuation sensor arrangements
US11464535B2 (en) 2017-12-28 2022-10-11 Cilag Gmbh International Detection of end effector emersion in liquid
US11166772B2 (en) 2017-12-28 2021-11-09 Cilag Gmbh International Surgical hub coordination of control and communication of operating room devices
US11284936B2 (en) 2017-12-28 2022-03-29 Cilag Gmbh International Surgical instrument having a flexible electrode
US11818052B2 (en) 2017-12-28 2023-11-14 Cilag Gmbh International Surgical network determination of prioritization of communication, interaction, or processing based on system or device needs
US11571234B2 (en) 2017-12-28 2023-02-07 Cilag Gmbh International Temperature control of ultrasonic end effector and control system therefor
US11896322B2 (en) 2017-12-28 2024-02-13 Cilag Gmbh International Sensing the patient position and contact utilizing the mono-polar return pad electrode to provide situational awareness to the hub
US11786245B2 (en) 2017-12-28 2023-10-17 Cilag Gmbh International Surgical systems with prioritized data transmission capabilities
US11291495B2 (en) 2017-12-28 2022-04-05 Cilag Gmbh International Interruption of energy due to inadvertent capacitive coupling
US11317937B2 (en) 2018-03-08 2022-05-03 Cilag Gmbh International Determining the state of an ultrasonic end effector
US11424027B2 (en) 2017-12-28 2022-08-23 Cilag Gmbh International Method for operating surgical instrument systems
US11410259B2 (en) 2017-12-28 2022-08-09 Cilag Gmbh International Adaptive control program updates for surgical devices
US11304699B2 (en) 2017-12-28 2022-04-19 Cilag Gmbh International Method for adaptive control schemes for surgical network control and interaction
US11234756B2 (en) 2017-12-28 2022-02-01 Cilag Gmbh International Powered surgical tool with predefined adjustable control algorithm for controlling end effector parameter
US11576677B2 (en) 2017-12-28 2023-02-14 Cilag Gmbh International Method of hub communication, processing, display, and cloud analytics
US11672605B2 (en) 2017-12-28 2023-06-13 Cilag Gmbh International Sterile field interactive control displays
US11540855B2 (en) 2017-12-28 2023-01-03 Cilag Gmbh International Controlling activation of an ultrasonic surgical instrument according to the presence of tissue
US11202570B2 (en) 2017-12-28 2021-12-21 Cilag Gmbh International Communication hub and storage device for storing parameters and status of a surgical device to be shared with cloud based analytics systems
US11559308B2 (en) 2017-12-28 2023-01-24 Cilag Gmbh International Method for smart energy device infrastructure
US11257589B2 (en) 2017-12-28 2022-02-22 Cilag Gmbh International Real-time analysis of comprehensive cost of all instrumentation used in surgery utilizing data fluidity to track instruments through stocking and in-house processes
US11304720B2 (en) 2017-12-28 2022-04-19 Cilag Gmbh International Activation of energy devices
US11832840B2 (en) 2017-12-28 2023-12-05 Cilag Gmbh International Surgical instrument having a flexible circuit
US11844579B2 (en) 2017-12-28 2023-12-19 Cilag Gmbh International Adjustments based on airborne particle properties
US11179175B2 (en) 2017-12-28 2021-11-23 Cilag Gmbh International Controlling an ultrasonic surgical instrument according to tissue location
US12035890B2 (en) 2017-12-28 2024-07-16 Cilag Gmbh International Method of sensing particulate from smoke evacuated from a patient, adjusting the pump speed based on the sensed information, and communicating the functional parameters of the system to the hub
US11786251B2 (en) 2017-12-28 2023-10-17 Cilag Gmbh International Method for adaptive control schemes for surgical network control and interaction
US11857152B2 (en) 2017-12-28 2024-01-02 Cilag Gmbh International Surgical hub spatial awareness to determine devices in operating theater
US11864728B2 (en) 2017-12-28 2024-01-09 Cilag Gmbh International Characterization of tissue irregularities through the use of mono-chromatic light refractivity
US11304763B2 (en) 2017-12-28 2022-04-19 Cilag Gmbh International Image capturing of the areas outside the abdomen to improve placement and control of a surgical device in use
US11464559B2 (en) 2017-12-28 2022-10-11 Cilag Gmbh International Estimating state of ultrasonic end effector and control system therefor
US12062442B2 (en) 2017-12-28 2024-08-13 Cilag Gmbh International Method for operating surgical instrument systems
US11969216B2 (en) 2017-12-28 2024-04-30 Cilag Gmbh International Surgical network recommendations from real time analysis of procedure variables against a baseline highlighting differences from the optimal solution
US11432885B2 (en) 2017-12-28 2022-09-06 Cilag Gmbh International Sensing arrangements for robot-assisted surgical platforms
US10758310B2 (en) 2017-12-28 2020-09-01 Ethicon Llc Wireless pairing of a surgical device with another device within a sterile surgical field based on the usage and situational awareness of devices
US11076921B2 (en) 2017-12-28 2021-08-03 Cilag Gmbh International Adaptive control program updates for surgical hubs
US11253315B2 (en) 2017-12-28 2022-02-22 Cilag Gmbh International Increasing radio frequency to create pad-less monopolar loop
US11559307B2 (en) 2017-12-28 2023-01-24 Cilag Gmbh International Method of robotic hub communication, detection, and control
US20190206569A1 (en) 2017-12-28 2019-07-04 Ethicon Llc Method of cloud based data analytics for use with the hub
US11278281B2 (en) 2017-12-28 2022-03-22 Cilag Gmbh International Interactive surgical system
US10892995B2 (en) 2017-12-28 2021-01-12 Ethicon Llc Surgical network determination of prioritization of communication, interaction, or processing based on system or device needs
US11446052B2 (en) 2017-12-28 2022-09-20 Cilag Gmbh International Variation of radio frequency and ultrasonic power level in cooperation with varying clamp arm pressure to achieve predefined heat flux or power applied to tissue
US11419667B2 (en) 2017-12-28 2022-08-23 Cilag Gmbh International Ultrasonic energy device which varies pressure applied by clamp arm to provide threshold control pressure at a cut progression location
US11602393B2 (en) 2017-12-28 2023-03-14 Cilag Gmbh International Surgical evacuation sensing and generator control
US11633237B2 (en) 2017-12-28 2023-04-25 Cilag Gmbh International Usage and technique analysis of surgeon / staff performance against a baseline to optimize device utilization and performance for both current and future procedures
US11696760B2 (en) 2017-12-28 2023-07-11 Cilag Gmbh International Safety systems for smart powered surgical stapling
US11744604B2 (en) 2017-12-28 2023-09-05 Cilag Gmbh International Surgical instrument with a hardware-only control circuit
US11376002B2 (en) 2017-12-28 2022-07-05 Cilag Gmbh International Surgical instrument cartridge sensor assemblies
US11666331B2 (en) 2017-12-28 2023-06-06 Cilag Gmbh International Systems for detecting proximity of surgical end effector to cancerous tissue
US11364075B2 (en) 2017-12-28 2022-06-21 Cilag Gmbh International Radio frequency energy device for delivering combined electrical signals
US11419630B2 (en) 2017-12-28 2022-08-23 Cilag Gmbh International Surgical system distributed processing
US11896443B2 (en) 2017-12-28 2024-02-13 Cilag Gmbh International Control of a surgical system through a surgical barrier
US11304745B2 (en) 2017-12-28 2022-04-19 Cilag Gmbh International Surgical evacuation sensing and display
US11771487B2 (en) 2017-12-28 2023-10-03 Cilag Gmbh International Mechanisms for controlling different electromechanical systems of an electrosurgical instrument
US11308075B2 (en) 2017-12-28 2022-04-19 Cilag Gmbh International Surgical network, instrument, and cloud responses based on validation of received dataset and authentication of its source and integrity
US11266468B2 (en) 2017-12-28 2022-03-08 Cilag Gmbh International Cooperative utilization of data derived from secondary sources by intelligent surgical hubs
US11423007B2 (en) 2017-12-28 2022-08-23 Cilag Gmbh International Adjustment of device control programs based on stratified contextual data in addition to the data
US20190201139A1 (en) 2017-12-28 2019-07-04 Ethicon Llc Communication arrangements for robot-assisted surgical platforms
US11311306B2 (en) 2017-12-28 2022-04-26 Cilag Gmbh International Surgical systems for detecting end effector tissue distribution irregularities
US11903601B2 (en) 2017-12-28 2024-02-20 Cilag Gmbh International Surgical instrument comprising a plurality of drive systems
US11389164B2 (en) 2017-12-28 2022-07-19 Cilag Gmbh International Method of using reinforced flexible circuits with multiple sensors to optimize performance of radio frequency devices
US11659023B2 (en) 2017-12-28 2023-05-23 Cilag Gmbh International Method of hub communication
US11109866B2 (en) 2017-12-28 2021-09-07 Cilag Gmbh International Method for circular stapler control algorithm adjustment based on situational awareness
US11937769B2 (en) 2017-12-28 2024-03-26 Cilag Gmbh International Method of hub communication, processing, storage and display
US10466760B2 (en) 2018-01-09 2019-11-05 Landis+Gyr Innovations, Inc. Energy consumption management based on game theoretical device prioritization
CN108092412A (zh) * 2018-02-02 2018-05-29 珠海格力电器股份有限公司 能源信息处理方法及其设备、能源互联网系统
US11701162B2 (en) 2018-03-08 2023-07-18 Cilag Gmbh International Smart blade application for reusable and disposable devices
US11259830B2 (en) 2018-03-08 2022-03-01 Cilag Gmbh International Methods for controlling temperature in ultrasonic device
US11389188B2 (en) 2018-03-08 2022-07-19 Cilag Gmbh International Start temperature of blade
US11471156B2 (en) 2018-03-28 2022-10-18 Cilag Gmbh International Surgical stapling devices with improved rotary driven closure systems
US11406382B2 (en) 2018-03-28 2022-08-09 Cilag Gmbh International Staple cartridge comprising a lockout key configured to lift a firing member
US11090047B2 (en) 2018-03-28 2021-08-17 Cilag Gmbh International Surgical instrument comprising an adaptive control system
US11278280B2 (en) 2018-03-28 2022-03-22 Cilag Gmbh International Surgical instrument comprising a jaw closure lockout
US11259806B2 (en) 2018-03-28 2022-03-01 Cilag Gmbh International Surgical stapling devices with features for blocking advancement of a camming assembly of an incompatible cartridge installed therein
CN110323831A (zh) * 2018-03-29 2019-10-11 美登思电气（上海）有限公司 基于负载实际容量逐级投切的多电源自动切换控制系统
CN108573288B (zh) * 2018-05-29 2021-11-23 福建新开普信息科技有限公司 一种基于电能表的阻性负载识别与学习方法
CN109120006B (zh) * 2018-07-17 2020-03-31 温州大学 一种离网光伏系统负载管理方法及系统
CN109301887A (zh) * 2018-08-08 2019-02-01 深圳市德赛微电子技术有限公司 一种带内阻补偿的电池电量单向单格指示电路及方法
US11350978B2 (en) 2018-09-07 2022-06-07 Cilag Gmbh International Flexible neutral electrode
US11696789B2 (en) 2018-09-07 2023-07-11 Cilag Gmbh International Consolidated user interface for modular energy system
US11923084B2 (en) 2018-09-07 2024-03-05 Cilag Gmbh International First and second communication protocol arrangement for driving primary and secondary devices through a single port
US11804679B2 (en) 2018-09-07 2023-10-31 Cilag Gmbh International Flexible hand-switch circuit
CN109558984A (zh) * 2018-12-05 2019-04-02 中南大学 一种主动配电网分布式储能系统双目标混合优化规划方法
US11369377B2 (en) 2019-02-19 2022-06-28 Cilag Gmbh International Surgical stapling assembly with cartridge based retainer configured to unlock a firing lockout
US11317915B2 (en) 2019-02-19 2022-05-03 Cilag Gmbh International Universal cartridge based key feature that unlocks multiple lockout arrangements in different surgical staplers
US11751872B2 (en) 2019-02-19 2023-09-12 Cilag Gmbh International Insertable deactivator element for surgical stapler lockouts
US11291445B2 (en) 2019-02-19 2022-04-05 Cilag Gmbh International Surgical staple cartridges with integral authentication keys
US11357503B2 (en) 2019-02-19 2022-06-14 Cilag Gmbh International Staple cartridge retainers with frangible retention features and methods of using same
CN109842198B (zh) * 2019-03-25 2023-10-31 上海工程技术大学 一种轨道板参数在线监测系统
US11743665B2 (en) 2019-03-29 2023-08-29 Cilag Gmbh International Modular surgical energy system with module positional awareness sensing with time counter
JP7368503B2 (ja) * 2019-05-16 2023-10-24 アストロニクス アドバンスド エレクトロニック システムズ コーポレイション 共通の分配ネットワーク上の消費者間のフロー均等化の管理方法
CN110190597B (zh) * 2019-05-31 2020-12-08 华北电力大学 一种分布式电力管理系统
USD952144S1 (en) 2019-06-25 2022-05-17 Cilag Gmbh International Surgical staple cartridge retainer with firing system authentication key
USD950728S1 (en) 2019-06-25 2022-05-03 Cilag Gmbh International Surgical staple cartridge
USD964564S1 (en) 2019-06-25 2022-09-20 Cilag Gmbh International Surgical staple cartridge retainer with a closure system authentication key
CN110336311B (zh) * 2019-08-23 2021-06-11 阳光电源股份有限公司 一种光储直流系统的子系统功率控制方法及其应用装置
USD924139S1 (en) 2019-09-05 2021-07-06 Ethicon Llc Energy module with a backplane connector
USD928726S1 (en) 2019-09-05 2021-08-24 Cilag Gmbh International Energy module monopolar port
USD928725S1 (en) 2019-09-05 2021-08-24 Cilag Gmbh International Energy module
USD939545S1 (en) 2019-09-05 2021-12-28 Cilag Gmbh International Display panel or portion thereof with graphical user interface for energy module
CN111290288B (zh) * 2020-03-13 2021-07-06 珠海格力电器股份有限公司 直流能源路由器和智能家居管理系统
US20210376606A1 (en) * 2020-06-01 2021-12-02 Enphase Energy, Inc. Load detection and prioritization for an energy management system
CN112947216B (zh) * 2021-03-02 2022-11-18 山东鲁软数字科技有限公司智慧能源分公司 架空线路可视化监拍供电气象控制系统及方法
CN113031692B (zh) * 2021-03-24 2022-11-29 广州文冲船厂有限责任公司 一种用于疏浚工况的功率管理方法及系统
US12004824B2 (en) 2021-03-30 2024-06-11 Cilag Gmbh International Architecture for modular energy system
US11963727B2 (en) 2021-03-30 2024-04-23 Cilag Gmbh International Method for system architecture for modular energy system
US11980411B2 (en) 2021-03-30 2024-05-14 Cilag Gmbh International Header for modular energy system
US11968776B2 (en) 2021-03-30 2024-04-23 Cilag Gmbh International Method for mechanical packaging for modular energy system
US11978554B2 (en) 2021-03-30 2024-05-07 Cilag Gmbh International Radio frequency identification token for wireless surgical instruments
US12040749B2 (en) 2021-03-30 2024-07-16 Cilag Gmbh International Modular energy system with dual amplifiers and techniques for updating parameters thereof
US11950860B2 (en) 2021-03-30 2024-04-09 Cilag Gmbh International User interface mitigation techniques for modular energy systems
US11857252B2 (en) 2021-03-30 2024-01-02 Cilag Gmbh International Bezel with light blocking features for modular energy system
CN113300362B (zh) * 2021-06-28 2023-05-23 青岛理工大学（临沂）管理委员会办公室 用于电气工程电力调配的方法及装置、电力调配系统
CN113489127B (zh) * 2021-06-30 2022-09-02 中标慧安信息技术股份有限公司 物联网中供电端与负载之间的电能分配控制方法及系统
CN113791272B (zh) * 2021-07-23 2024-02-09 江阴长仪集团有限公司 一种模组可升级的智能电能表及模组升级方法
US11960341B2 (en) 2021-08-31 2024-04-16 Apple Inc. Power delivery reduction scheme for SoC
CN113791662B (zh) * 2021-09-14 2022-12-30 无锡市宏霸机电设备有限公司 多排耗能装置控制系统及其控制方法
CN115036911B (zh) * 2022-05-26 2023-03-21 怀化建南机器厂有限公司 电力系统用电网集中器
CN117371673A (zh) * 2022-06-28 2024-01-09 烟台杰瑞石油装备技术有限公司 一种综合能量管理方法、系统、基于此方法的井场及井场控制方法
US12079460B2 (en) 2022-06-28 2024-09-03 Cilag Gmbh International Profiles for modular energy system
CN116169900B (zh) * 2023-02-28 2024-01-30 湖南润伟智能机器有限公司 一种负载电机控制系统
CN116488204B (zh) * 2023-06-20 2023-09-01 南京东新慧科信息技术有限公司 一种基于有序用电的线损功耗节能降耗控制方法
CN118348890A (zh) * 2024-05-31 2024-07-16 江苏广宇建设集团有限公司 一种基于物联网的智能建筑能源优化控制系统及方法
CN118473098A (zh) * 2024-07-09 2024-08-09 河南深蓝静行光电科技有限公司 一种船舶计算机智能电源管理模块

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102144344A (zh) * 2008-10-24 2011-08-03 波音公司 智能能量管理架构
CN102483643A (zh) * 2010-01-29 2012-05-30 惠普开发有限公司 使用选择性上限设定来管理多个负载的电能分配
CN204333982U (zh) * 2014-08-26 2015-05-13 珠海格力电器股份有限公司 分布式能源电源控制系统

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5319571A (en) * 1992-11-24 1994-06-07 Exide Electronics UPS system with improved network communications
US20010010032A1 (en) * 1998-10-27 2001-07-26 Ehlers Gregory A. Energy management and building automation system
WO2004102894A1 (en) * 2003-05-15 2004-11-25 3Com Corporation System and method for the management of power supplied over data lines
CN100435069C (zh) * 2004-05-10 2008-11-19 美高森美股份有限公司-模拟混合信号集团有限公司 用于快速减小端口电源的方法
US7340620B2 (en) * 2005-05-10 2008-03-04 Hewlett-Packard Development Company, L.P. Rapid load reduction for power-over-LAN system using lower and higher priority states for ports
US7631201B2 (en) * 2006-05-25 2009-12-08 Foundry Networks, Inc. System software for managing power allocation to Ethernet ports in the absence of mutually exclusive detection and powering cycles in hardware
CN100403622C (zh) * 2006-09-01 2008-07-16 桂林航天电子有限公司 智能配电管理中心
WO2008039759A2 (en) * 2006-09-25 2008-04-03 Intelligent Management Systems Corporation System and method for resource management
US7865754B2 (en) * 2007-08-24 2011-01-04 Micrel, Inc. Power budget management in power over ethernet systems
JP4379516B2 (ja) * 2007-11-26 2009-12-09 日本電気株式会社 電力制御システム、電力制御装置、電力制御方法及びプログラム
CN101707380B (zh) * 2008-07-21 2012-05-30 北京星网锐捷网络技术有限公司 供电系统配置方法、装置及系统
CN101656431B (zh) * 2009-06-22 2011-06-29 伊博电源（杭州）有限公司 一种分布式供电系统的数字管理系统和方法
US20110153108A1 (en) * 2009-12-18 2011-06-23 Electronics And Telecommunications Research Institute Method and device for remote power management
US20120323510A1 (en) * 2011-06-15 2012-12-20 General Electric Company Systems, methods, and apparatus for evaluating load power consumption utilizing a power meter
CN103733475A (zh) * 2011-08-08 2014-04-16 日东电工株式会社 智能分接头
CN202586493U (zh) * 2011-09-25 2012-12-05 国网电力科学研究院 一种微电网能量管理系统
US9563215B2 (en) * 2012-07-14 2017-02-07 Causam Energy, Inc. Method and apparatus for actively managing electric power supply for an electric power grid
US9146613B2 (en) * 2013-01-10 2015-09-29 Dell Products L.P. Advanced PoE power control
KR101727356B1 (ko) * 2013-07-22 2017-04-14 엘에스산전 주식회사 에너지 관리 시스템

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102144344A (zh) * 2008-10-24 2011-08-03 波音公司 智能能量管理架构
CN102483643A (zh) * 2010-01-29 2012-05-30 惠普开发有限公司 使用选择性上限设定来管理多个负载的电能分配
CN204333982U (zh) * 2014-08-26 2015-05-13 珠海格力电器股份有限公司 分布式能源电源控制系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3188339A4 *

Also Published As

Publication number Publication date
CN105449719B (zh) 2019-01-04
US20170278199A1 (en) 2017-09-28
AU2015309395B2 (en) 2019-01-24
US10147148B2 (en) 2018-12-04
EP3188339A1 (en) 2017-07-05
CA2959187A1 (en) 2016-03-03
EP3188339A4 (en) 2017-10-11
CN105449719A (zh) 2016-03-30
AU2015309395A1 (en) 2017-04-06
CA2959187C (en) 2021-10-19

Similar Documents

Publication Publication Date Title
WO2016029825A1 (zh) 分布式能源电源控制方法、装置及系统
CN204333982U (zh) 分布式能源电源控制系统
CN102882229B (zh) 风电场动态电压自动控制系统
CN102694381B (zh) 多级电网自愈控制方法
WO2018232869A1 (zh) 一种智能供电方法及装置
CN101969230A (zh) 一种供电回路监控装置及系统
CN102055202B (zh) 三相平衡供电节能控制管理系统
CN204089179U (zh) 辐射型配电网自愈控制系统
CN102664400B (zh) 一种电能质量的监控方法
CN102280886A (zh) 一种配电变压器经济运行判据算法系统
CN117955171A (zh) 一种微电网实时优化调度系统
US9806562B2 (en) Network distributed dynamic equalized power supply method
CN111064273A (zh) 一种分布式微电网供电系统
CN207424621U (zh) 家庭能源智能管理系统
CN216530731U (zh) 一种综合绿色能源能效智能管控系统
KR102280207B1 (ko) 태양광 발전소를 제어하는 장치 및 이를 이용한 방법
Lin et al. Modular power architectures for microgrid clusters
KR102323391B1 (ko) 태양광 발전소를 모니터링하는 장치 및 이를 이용한 모니터링 방법
CN213243563U (zh) 储能能量管理系统
CN103915846B (zh) 一种用于基站的节能及智能配电装置
KR20130131149A (ko) 스마트 그리드 시스템에서 정전 발생시 에너지의 우선 공급을 제어하는 에너지 관리 시스템 및 에너지 관리 방법
KR102222843B1 (ko) 계층형 전력 제어 시스템
KR102222847B1 (ko) 계층형 전력 제어 시스템
CN201985621U (zh) 一种供电回路监控装置及系统
CN103607040A (zh) 一种调度自动化整体电源系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15836487

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2959187

Country of ref document: CA

WWE Wipo information: entry into national phase

Ref document number: 15506297

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

REEP Request for entry into the european phase

Ref document number: 2015836487

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2015836487

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2015309395

Country of ref document: AU

Date of ref document: 20150821

Kind code of ref document: A