CN113258584B - Multi-element load tracking and adjusting device and method for sensing real-time running state of electric power - Google Patents

Multi-element load tracking and adjusting device and method for sensing real-time running state of electric power Download PDF

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CN113258584B
CN113258584B CN202110675227.6A CN202110675227A CN113258584B CN 113258584 B CN113258584 B CN 113258584B CN 202110675227 A CN202110675227 A CN 202110675227A CN 113258584 B CN113258584 B CN 113258584B
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frequency
real
voltage
module
main control
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CN113258584A (en
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田世明
韩凝晖
潘明明
覃剑
陈宋宋
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China Electric Power Research Institute Co Ltd CEPRI
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China Electric Power Research Institute Co Ltd CEPRI
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    • 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
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
    • 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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • 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
    • 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
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • 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
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or 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
    • 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
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • 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
    • Y04S20/12—Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
    • 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
    • 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
    • Y04S20/242—Home appliances
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a multivariate load tracking and adjusting device for sensing real-time running state of electric power, which comprises: the communication module is connected with the electric appliance and used for acquiring parameter signals of the electric appliance; the AD sampling module is connected with the communication module and used for carrying out data sampling on the parameter signal; the metering loop is connected with the AD sampling module and used for determining the parameter value of the electric appliance based on the sampling data sampled by the AD sampling module; the main control chip and the metering loop module are used for generating a control signal of the electric appliance based on the parameter value; and the control output module is connected with the main control chip and used for outputting a control signal to the electric appliance through the communication module. The multivariate load tracking and adjusting device for sensing the real-time running state of the electric power automatically adjusts the connected multivariate load, realizes automatic adjustment and control, assists the electric power system to recover to a normal state, and has the characteristics of quick response time, good selection and no dependence on remote communication for control output.

Description

Multi-element load tracking and adjusting device and method for sensing real-time running state of electric power
Technical Field
The invention relates to the technical field of power control, in particular to a multivariate load tracking and adjusting device and method for sensing real-time power running state.
Background
At present, the seasonal peak load increase and new energy consumption conflict in a company business district are increasingly prominent, and the overall energy utilization efficiency is still low. The peak duration of more than 95% of the maximum load of each province in the san Hua region is only 5-81 hours. If the peak load demand of 5% is met by building the peak shaving power plant, the cost is too high because the peak load is only built. If the load can be adjusted at the client side to implement the demand response with the same effect, the total capital scale of related software and hardware construction operation and subsidy can greatly delay and save power generation and power grid investment, and the cost investment of the whole society is obviously reduced. Therefore, the construction of the sensing, access and adjusting capabilities of the adjustable load resource pool needs to be developed urgently, the flexible interaction capability of the client side resources is improved, the energy utilization efficiency is improved, the energy utilization cost is reduced, the formation of an intelligent energy comprehensive service system which is electricity-centered and multi-energy complementary is accelerated, and the formation of an internationally advanced energy internet with Chinese characteristics is promoted.
Disclosure of Invention
One of the purposes of the invention is to provide a multivariate load tracking and adjusting device for sensing the real-time running state of electric power, which can automatically track the change of frequency and voltage parameters of the electric power system from local when the voltage is out of limit running when the frequency fluctuation of the system or the local supply and demand imbalance is caused by large faults of the electric power system, automatically adjust the connected multivariate load, realize automatic adjustment and control and assist the electric power system to recover to a normal state, and has the characteristics of quick response time, good selection and no dependence on remote communication for control output.
The embodiment of the invention provides a multivariate load tracking and adjusting device for sensing real-time running state of electric power, which comprises:
the communication module is connected with the electric appliance and used for acquiring parameter signals of the electric appliance;
the AD sampling module is connected with the communication module and used for carrying out data sampling on the parameter signal;
the metering loop is connected with the AD sampling module and used for determining the parameter value of the electric appliance based on the sampling data sampled by the AD sampling module;
the main control chip and the metering loop module are used for generating a control signal of the electric appliance based on the parameter value;
and the control output module is connected with the main control chip and used for outputting a control signal to the electric appliance through the communication module.
Preferably, the communication module includes: ethernet and narrow-band Internet of things NB-IOT.
Preferably, the multivariate load tracking adjustment device for sensing the real-time power running state further comprises: and the temperature sensor module is connected with the main control chip and used for detecting the temperature of the electric appliance.
Preferably, the electrical appliance comprises: ice storage air conditioner or electric automobile fill electric pile.
Preferably, the multivariate load tracking adjustment device for sensing the real-time power running state further comprises: and the voice interaction module is connected with the main control chip and used for receiving a voice control instruction of a user.
The invention also provides a multivariate load tracking and adjusting method for sensing the real-time running state of the electric power, which is applied to an ice storage air conditioner and comprises the following steps:
step S1: acquiring signals of the A/D chip and the temperature sensing module for sampling voltage, current, frequency and temperature in real time;
step S2: filtering high-frequency interference of the real-time sampled signal, and calculating real-time perceived frequency variation, frequency variation rate, voltage variation and voltage variation rate;
step S3: comparing the real-time perceived frequency variation, frequency variation rate, voltage variation and voltage variation rate with respective corresponding preset out-of-limit deviation values, and executing a control strategy when the out-of-limit value appears;
step S4: according to the real-time measured values of the frequency and the voltage and the combination of the temperature, the main control chip judges the action interval of the frequency and the voltage variation in the V-F space, when the main control chip is in a high out-of-limit area, a control strategy for reducing or disconnecting the load of the air conditioner for quick response is formed, and when the main control chip is in a low out-of-limit area, fine adjustment is carried out by reducing the set temperature of the air conditioner;
step S5: the main control chip issues a control command through the communication module, or receives a control signal issued by the main station, and generates and issues a control strategy according to the control signal;
step S6: executing a control strategy;
step S7: after the control strategy is executed, recalculating the frequency and voltage deviation values, if the deviation values are still out of limit, returning to the step S4, and the main control chip reformulates a new control strategy; if the control strategy is recovered, the control strategy execution is ended, and the process returns to step S1 to continue the monitoring.
Preferably, the voltage and the frequency are sampled at 128 points or more in real time/cycle and are locally transmitted to the main control chip through an IEEE802.15.4 and IEEE802.11 transmission mode.
Wherein the control strategy comprises: the operation temperature of the ice storage air conditioner is adjusted up and down in a grading way, or the load of the ice storage air conditioner is cut off when the power is cut off; the communication interface of the communication module comprises a local communication interface and a remote communication interface, and the remote communication supports transmission modes such as Ethernet and narrowband Internet of things NB-IOT.
Preferably, the method is applied to electric vehicle charging piles.
Preferably, the control strategy comprises: and starting or disconnecting a charging pile switch of the electric automobile, or starting or stopping charging of the electric automobile.
The invention has the following beneficial effects:
the invention provides a multivariate load tracking and adjusting device for sensing real-time running state of electric power, which comprises: the communication module is connected with an electric appliance and used for acquiring a parameter signal of the electric appliance; the AD sampling module is connected with the communication module and is used for carrying out data sampling on the parameter signal; the metering loop module is connected with the AD sampling module and used for determining the parameter value of the electric appliance based on the sampling data sampled by the AD sampling module; the main control chip and the metering loop module are used for generating a control signal of the electric appliance based on the parameter value; and the control output module is connected with the main control chip and used for outputting the control signal to the electric appliance through the communication module. The device can effectively expand controllable resources when the power grid fails, and further enriches and perfects the means of safety control of the power grid. The implementation of the invention reduces the load shedding load which ensures the stability of the power grid, and provides beneficial supplement and assistance for the efficient and orderly operation of the power grid.
Furthermore, the intelligent power grid intelligent control system can be used for multiple loads such as air-conditioning loads, electric vehicle charging piles and energy storage, has the advantages of good control selectivity, high action speed, automatic layered and graded load reduction or load reduction capability, no dependence on remote communication and the like, and is an important technical means for ensuring the safety of the intelligent power grid.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a multivariate load tracking adjustment device for sensing real-time power running status according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of a multivariate load tracking adjustment method for sensing real-time running state of electric power applied to an ice storage air conditioner in an embodiment of the invention;
FIG. 3 is a schematic diagram of a local connection of an ice storage air conditioner to which a multivariate load tracking adjustment method for sensing real-time power running state is applied in an embodiment of the present invention;
FIG. 4 is a schematic diagram of network connection applied to an ice storage air conditioner in an embodiment of the present invention, illustrating a multivariate load tracking adjustment method for sensing real-time power running status;
fig. 5 is a schematic flow chart of the multivariate load tracking adjustment method for sensing the real-time power running state applied to the electric vehicle charging pile in the embodiment of the invention;
fig. 6 is a schematic local connection diagram of the electric vehicle charging pile applied with the multivariate load tracking adjustment method for sensing the real-time power running state in the embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a multivariate load tracking and adjusting device for sensing real-time running state of electric power, which comprises the following components in percentage by weight as shown in figure 1:
the communication module 1 is connected with the electric appliance 6 and used for acquiring parameter signals of the electric appliance 6;
the AD sampling module 2 is connected with the communication module 1 and is used for carrying out data sampling on the parameter signals;
the metering loop 3 is connected with the AD sampling module 2 and used for determining the parameter value of the electric appliance based on the sampling data sampled by the AD sampling module 2;
the main control chip 5 and the metering loop 3 module are used for generating control signals of the electric appliances based on the parameter values;
and the control output module 4 is connected with the main control chip 5 and is used for outputting a control signal to the electric appliance 6 through the communication module 1.
Preferably, the communication module includes: ethernet and narrow-band Internet of things NB-IOT.
Preferably, the multivariate load tracking adjustment device for sensing the real-time power running state further comprises: and the temperature sensor module is connected with the main control chip and used for detecting the temperature of the electric appliance.
Preferably, the electrical appliance comprises: ice storage air conditioner or electric automobile fill electric pile.
Preferably, the multivariate load tracking adjustment device for sensing the real-time power running state further comprises: and the voice interaction module is connected with the main control chip and used for receiving a voice control instruction of a user.
The main control chip adopts 32-bit MCU or DSP with more than 40Mhz as the main control chip, a FLASH chip with more than 16kB is integrated in the chip, and an SRAM random access memory with more than 2kB is also integrated on the chip, and the main control chip can be used for externally expanding programs and data memories. The A/D sampling and metering loop is connected with an A/D converter with more than 12 bits and an accuracy metering chip with more than 1S level through an SPI or a parallel interface, and the A/D chip supports the sampling of 4-8 paths of signals at a rate of more than 32 ksps. The device software realizes real-time sampling and automatic tracking of parameters such as frequency, voltage, current and the like of the power system and automatic regulation of multi-element loads, and has the functions of real-time detection, digital filtering, parameter configuration, daily power prediction, power control, cost control/electric quantity control, coordination control, communication management and the like. The device communication interface implements remote and local communication functions. The communication interface comprises a local communication interface and a remote communication interface, and is mainly used for the functions of parameter configuration and the like, and the remote communication supports the transmission modes of Ethernet, narrow-band Internet of things NB-IOT and the like; the local communication supports IEEE802.15.4 and IEEE802.11 transmission modes. The temperature sensor can sense the real-time change of the temperature, and the precision reaches plus or minus 0.5 degrees. The control output can support more than 2 AC load drives.
The invention has wide application prospect. Firstly, when the frequency is rapidly reduced due to the fact that a power system has a large fault, layered and graded multi-element load control measures are started based on the local real-time perception analysis result. And secondly, when the power shortage of island operation of the transformer area is caused by local power grid faults, the operation state of the multi-element load is adjusted, and the reliable power supply of important loads is ensured while the safe and stable operation of the power grid is ensured. Thirdly, the control output does not depend on remote communication, a large number of optical cables do not need to be laid, and the economic benefit and the social benefit are remarkable.
The invention also provides a multivariate load tracking and adjusting method for sensing the real-time running state of electric power, which is applied to an ice storage air conditioner, as shown in fig. 2, fig. 3 and fig. 4, and comprises the following steps:
step S1: voltage, current, frequency and temperature are sampled in real time through an A/D chip and a temperature sensing module, the voltage and the frequency are sampled at more than 128 points/cycle wave in real time, and are locally transmitted to a main control chip through an IEEE802.15.4 and IEEE802.11 transmission mode;
step S2: filtering high-frequency interference by adopting a self-adaptive filtering method, calculating real-time frequency by utilizing an FFT (fast Fourier transform) or function fitting method, and calculating frequency, voltage deviation and change rate;
step S3: calculating the frequency variation and the frequency variation rate, the voltage variation and the voltage variation rate of real-time perception, comparing the frequency variation and the frequency variation rate with the out-of-limit deviation value of the set frequency and voltage, and starting a control strategy when the frequency and the voltage reach the preset out-of-limit values;
step S4: according to the real-time measured values of the frequency and the voltage, in combination with the environmental temperature, the main control chip judges the action interval of the frequency and the voltage variable quantity in the V-F space, when the main control chip is in a high out-of-limit area, an adjusting strategy for reducing or disconnecting a large number of air conditioner loads and quickly responding is formed, and when the main control chip is in a low out-of-limit area, fine adjustment is carried out by reducing the set temperature of part of the air conditioners;
step S5: the main control chip issues a control command through the communication module; meanwhile, the main control chip can also receive the control signal issued by the main station, and generates and issues a control strategy according to the control signal;
step S6: executing a control strategy;
step S7: after the control strategy is executed, recalculating the frequency and voltage deviation values, if the deviation values are still out of limit, returning to the step S4, and the main control chip reformulates a new control strategy; if the control strategy is recovered, the control strategy execution is ended, and the process returns to step S1 to continue the monitoring.
Wherein the control strategy comprises: the operation temperature of the ice storage air conditioner is adjusted up and down in a grading way, or the load of the ice storage air conditioner is cut off when the power is cut off; the communication interface of the communication module comprises a local communication interface and a remote communication interface, and the remote communication supports transmission modes such as Ethernet and narrowband Internet of things NB-IOT.
At present, the ice storage air conditioning technology is relatively mature, is widely popularized and applied in China in a large quantity, and is one of suitable application objects of the invention. The operation modes of the conventional ice storage air conditioning system are divided into an overall storage mode and a partial storage mode. The all cold accumulation mode stores all air conditioner daily cold loads in the valley power period, and the air conditioner host does not run in the peak power period and the flat power period, and all cold loads are met by ice melting; the partial cold accumulation mode is to store partial cold energy in the valley electricity period, the air conditioner load in the weekday is partially borne by the ice melting, and the part of the air conditioner load is still borne by the refrigerating unit. The ice storage air conditioner has great potential in the aspects of balancing the load of a power grid and shifting peaks and filling valleys, and meanwhile, the ice storage air conditioner is low in operation cost in a cold storage mode and can save a large amount of electricity.
Because the load of the ice storage air conditioner is greatly influenced by the seasonal temperature and has a certain coincidence rate, the actual switchable load changes at different time intervals, so that a database is established, the regulation and control precision and the response speed are improved based on big data and a machine learning technology, and the intelligent automatic demand response of the ice storage air conditioner is realized.
The invention can increase or reduce the running power of the air-conditioning load by changing the running temperature of the ice storage air-conditioning load or cutting off the air-conditioning load so as to deal with the voltage and frequency fluctuation of the transformer area. Taking 1000 ice storage air conditioners as an example, taking the stable power before control as a reference value (100%), and comparing different environmental temperatures (taking 35 ℃ -39 ℃ as an example), the temperature is increased by 1 ℃. At 35 ℃, the total power of the air-conditioning load group after control is 72.5% +/-3.5% before control; at 37 ℃, the total power of the air conditioner load group after control is 85% +/-3.0% before control; at 39 ℃, the total power of the air-conditioning load group after control is 94.0% +/-2.0% before control.
The invention also provides a multivariate load tracking and adjusting method for sensing the real-time running state of electric power, which is applied to an electric vehicle charging pile and comprises the following steps of:
step S11: the voltage and the frequency are sampled in real time for more than 128 points/cycle wave and are locally transmitted to a main control chip through an IEEE802.15.4 and IEEE802.11 transmission mode;
step S12: filtering high-frequency interference by adopting a self-adaptive filtering method, calculating real-time frequency by utilizing an FFT or function fitting method, wherein the frequency measurement precision is better than 0.01 percent, calculating frequency, voltage deviation and change rate, and the frequency change rate precision is better than 0.2Hz/s;
step S13: calculating the frequency variation and frequency variation rate, voltage variation and voltage variation rate of real-time perception, and comparing with the out-of-limit deviation value of the set voltage and frequency;
step S14: according to the real-time measured values of the frequency and the voltage, in combination with the environmental temperature, the main control chip judges the action interval of the frequency and the voltage variation in the V-F space, when the energy storage unit is in a high out-of-limit area, an adjusting strategy for changing the charging and discharging states of a large number of energy storage units and opening or disconnecting the charging pile switch of the electric automobile is formed, and when the energy storage unit is in a low out-of-limit area, fine adjustment is carried out by changing the charging and discharging states of part of the energy storage units;
step S15: the master control chip can also receive a control signal sent by the master station, generate a control strategy according to the control signal and send the control strategy;
step S16: executing a control strategy, and changing the charging and discharging state of the energy storage equipment, wherein the communication interface comprises a local communication interface and a remote communication interface, and the remote communication supports the transmission mode of NB-IOT (network b-internet of things) of Ethernet and narrowband;
step S17: after the control strategy is executed, recalculating the frequency and voltage deviation values, if the deviation values are still out of limit, returning to the step S14, and the main control chip reformulates a new control strategy; if the control strategy is recovered, the control strategy execution is ended, and the process returns to step S11 to continue the monitoring.
Preferably, the control strategy comprises: and starting or disconnecting a charging pile switch of the electric automobile, or starting or stopping charging of the electric automobile.
In addition, the method can enrich and correct strategy samples based on big data and machine learning technology, and improve regulation and control precision and response speed.
For example: two control strategies, frequency control and voltage control:
frequency control: when the system frequency is raised, the BESS is controlled to charge to absorb the redundant active power of the system; and when the system frequency suddenly drops, the BESS is controlled to discharge to compensate the system active power shortage. Based on the PCS and the corresponding control strategy thereof, the BESS has a small running time constant, usually between dozens of milliseconds and 1 second, and has a fast dynamic response.
The frequency modulation characteristic of BESS operation is expressed as
Figure 152870DEST_PATH_IMAGE001
；
In the formula, Δ f is the system frequency offset; the Δ P is BESS output active power; kp is the system power generation gain; tp is the time constant of BESS.
Meanwhile, the total BESS output energy can be calculated by the following formula:
Figure 303228DEST_PATH_IMAGE002
wherein p (t) is the instantaneous charge-discharge power of BESS; e0The total energy is initially stored for the battery system in the BESS.
And voltage control, namely, the fluctuation of the system voltage can be restrained by adjusting the reactive power output of the BESS. When in useFeeder voltage UPWhen the reactive power is reduced, the BESS can be controlled to emit reactive power to compensate the reactive power shortage of the system; when U is turnedPWhen the system is in the burst state, the BESS can be coordinately controlled to absorb the redundant reactive power of the system. The PCS in the BESS is used as power electronic equipment and has the advantages of small running time constant, quick dynamic response and the like.
Similar to frequency control, the voltage regulation characteristic of BESS operation is expressed as
Figure 632578DEST_PATH_IMAGE003
;
In the formula, Δ U is the system voltage offset; the Δ Q is BESS output reactive power; kq is the system power generation gain; tq is the time constant of BESS.
In addition, factors that affect the voltage regulation capability of the BESS and its internal modular BESS subsystems also vary. For a single modular BESS, the voltage regulating capability of the system is influenced by factors such as the apparent power of the system, the requirement of the system on the frequency regulating capability of the system and the like, namely when the apparent power of the subsystem of the modular BESS is constant, the higher the requirement of the system on the frequency regulating capability of the system is, the lower the voltage regulating capability of the system is; however, for BESS, the total pressure regulation capability is also related to the control strategy employed.
The implementation effect is as follows: the invention only considers the removal (how to calculate the electricity price of auxiliary service such as accident support provided by the electric automobile and how to compensate the influence on the service life of the battery of the electric automobile) and the conversion of the energy storage equipment from the charging operation state to the discharging state. Energy storage and electric vehicle load: directly controlling the starting and stopping of the charging load of the electric automobile, wherein the response degree is 100%; the energy storage device is directly controlled to change from a charging load to a discharging state, and the response degree is 200%.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (11)

1. A perception electric power real-time running state's many first load track adjusting device, its characterized in that includes:
the communication module is connected with an electric appliance and used for acquiring a parameter signal of the electric appliance;
the AD sampling module is connected with the communication module and is used for carrying out data sampling on the parameter signal;
the metering loop module is connected with the AD sampling module and used for determining the parameter value of the electric appliance based on the sampling data sampled by the AD sampling module;
the main control chip and the metering loop module are used for generating a control signal of the electric appliance based on the parameter value;
the control output module is connected with the main control chip and used for outputting the control signal to the electric appliance through the communication module;
the adjusting method of the adjusting device is applied to the electric vehicle charging pile, and the change of the frequency and voltage parameters of the power system is automatically tracked from the local; the method comprises the following steps:
step S11: the voltage and the frequency are sampled in real time for more than 128 points/cycle wave and are locally transmitted to a main control chip through an IEEE802.15.4 and IEEE802.11 transmission mode;
step S12: filtering high-frequency interference by adopting a self-adaptive filtering method, calculating real-time frequency by utilizing an FFT or function fitting method, wherein the frequency measurement precision is better than 0.01 percent, calculating frequency, voltage deviation and change rate, and the frequency change rate precision is better than 0.2Hz/s;
step S13: calculating the frequency variation and frequency variation rate, voltage variation and voltage variation rate of real-time perception, and comparing with the out-of-limit deviation value of the set voltage and frequency;
step S14: according to the real-time measured values of the frequency and the voltage, in combination with the environmental temperature, the main control chip judges the action interval of the frequency and the voltage variation in the V-F space, when the energy storage unit is in a high out-of-limit area, an adjusting strategy for changing the charging and discharging states of a large number of energy storage units and opening or disconnecting the charging pile switch of the electric automobile is formed, and when the energy storage unit is in a low out-of-limit area, fine adjustment is carried out by changing the charging and discharging states of part of the energy storage units;
step S15: the master control chip can also receive a control signal sent by the master station, generate a control strategy according to the control signal and send the control strategy;
step S16: executing a control strategy, and changing the charging and discharging state of the energy storage equipment, wherein the communication interface comprises a local communication interface and a remote communication interface, and the remote communication supports the transmission mode of NB-IOT (network b-internet of things) of Ethernet and narrowband;
step S17: after the control strategy is executed, recalculating the frequency and voltage deviation values, if the deviation values are still out of limit, returning to the step S14, and the main control chip reformulates a new control strategy; if the control strategy is recovered, the control strategy execution is ended, and the process returns to step S11 to continue the monitoring.
2. The power aware multi-element load following regulation device of claim 1, wherein the communication module comprises: ethernet and narrow-band Internet of things NB-IOT.
3. The power aware multi-element load following regulation device of real-time operating condition of claim 1, further comprising: and the temperature sensor module is connected with the main control chip and used for detecting the temperature of the electrical appliance.
4. The power aware multi-element load tracking regulation device of claim 1 wherein the electrical load comprises: ice storage air conditioner or electric automobile fill electric pile.
5. The power aware multi-element load following regulation device of real-time operating condition of claim 1, further comprising: and the voice interaction module is connected with the main control chip and used for receiving a voice control instruction of a user.
6. A regulation method for the multivariate load tracking regulation device for sensing the real-time power running state as defined in any one of claims 1-5 is applied to an ice storage air conditioner and realizes the automatic tracking of the change of the frequency and voltage parameters of a power system from the local; it is characterized by comprising:
step S1: acquiring signals of the A/D chip and the temperature sensing module for sampling voltage, current, frequency and temperature in real time;
step S2: filtering high-frequency interference of the real-time sampled signal, and calculating real-time perceived frequency variation, frequency variation rate, voltage variation and voltage variation rate;
step S3: comparing the real-time perceived frequency variation, frequency variation rate, voltage variation and voltage variation rate with respective corresponding preset out-of-limit deviation values, and executing a control strategy when the out-of-limit value appears;
step S4: according to the real-time measured values of the frequency and the voltage and the combination of the temperature, the main control chip judges the action interval of the frequency and the voltage variation in the V-F space, when the main control chip is in a high out-of-limit area, a control strategy for reducing or disconnecting the load of the air conditioner for quick response is formed, and when the main control chip is in a low out-of-limit area, fine adjustment is carried out by reducing the set temperature of the air conditioner;
step S5: the main control chip issues a control command through the communication module, or receives a control signal issued by the main station, and generates and issues a control strategy according to the control signal;
step S6: executing a control strategy;
step S7: after the control strategy is executed, recalculating the frequency and voltage deviation values, if the deviation values are still out of limit, returning to the step S4, and the main control chip reformulates a new control strategy; if the control strategy is recovered, the control strategy execution is ended, and the process returns to step S1 to continue the monitoring.
7. The method of claim 6, wherein the voltage and frequency are sampled at 128 points or more/cycle in real time and are locally transmitted to the main control chip by transmission means of IEEE802.15.4 and IEEE 802.11.
8. The adjustment method of claim 6, wherein the control strategy comprises:
and (3) regulating the operating temperature of the ice storage air conditioner in a grading way, or cutting off the load of the ice storage air conditioner when the power is off.
9. An adjustment method according to claim 6, characterized in that the communication interfaces of the communication module comprise a local communication interface and a remote communication interface.
10. The method of conditioning according to claim 6, characterized in that it is applied to electric vehicle charging poles.
11. The adjustment method of claim 10, wherein the control strategy comprises:
opening or disconnecting a charging pile switch of the electric automobile; or start or stop electric vehicle charging.
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CN102486330B (en) * 2010-12-03 2014-07-23 湖南大学 Intelligent air-conditioner adjusting device based on active security response of user
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