CN111064223A - Micro-grid power quality control system and method based on edge calculation - Google Patents
Micro-grid power quality control system and method based on edge calculation Download PDFInfo
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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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
- H02J3/01—Arrangements for reducing harmonics or ripples
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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
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- 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
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- 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
- Y02E40/40—Arrangements for reducing harmonics
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- 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
- Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
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- 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
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- 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
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- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
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- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/14—Energy storage units
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- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units
Abstract
The invention relates to a microgrid power quality control system and method based on edge calculation, belongs to the technical field of new energy control, and solves the problems of complicated control process, high control difficulty and the like caused by the separation power quality acquisition, analysis and control process of the existing microgrid system. The system comprises: the DSP sampling controller is used for collecting the electric energy quality data of each node, and transmitting the electric energy quality data to the MCU analysis module and the edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data; the MCU analysis module judges whether the basic power quality data deviate from a reference range, and if the basic power quality data deviate, a control instruction for controlling the working state of the inverter is generated; if the comprehensive power quality data does not deviate, judging whether the comprehensive power quality data is abnormal, if so, processing the abnormality by a built-in model in the edge calculation module to obtain an abnormal diagnosis result, and generating a control instruction for controlling the working state of the inverter; and the inverter adjusts the working state of the inverter according to the control command.
Description
Technical Field
The invention relates to the technical field of new energy control, in particular to a micro-grid power quality control system and method based on edge calculation.
Background
Traditional little electric wire netting control, for guaranteeing little electric wire netting steady operation, come frequency regulation and voltage through separately controlling dc-to-ac converter (converter) and guarantee little electric wire netting operation, to electric energy quality control, through installing electric energy quality monitoring devices additional alone, carry out off-line data analysis, form the solution at last to install the treatment device additional, the scheme feasibility is difficult to effectively verify, the treatment effect is single, the process is loaded down with trivial details, and the real-time control effect is not obvious moreover. The invention aims to realize dynamic electric energy quality acquisition, analysis, local control and regulation by combining an edge calculation technology and an inverter (converter) multiplexing principle on the basis of traditional control, reduces the complicated process of the traditional solution, improves the electric energy quality regulation efficiency, saves later-stage micro-grid investment by early-stage reasonable planning, and integrally improves the operation level of a micro-grid.
Under the background of energy internet development, with the appearance and application of large-scale photovoltaic, wind power, tidal power stations, various energy storage systems (electrochemical energy storage), electric vehicles and high-power charging and discharging facilities, all the fields of power supply and power utilization face new problems of various sources of electric energy quality disturbance, complicated association and the like caused by point-to-point service of energy interconnection points. The method faces the requirements of diversification of power quality data, diversification of service requirements and the like. The future direction is to establish a set of electric energy quality information system with flexible and various data acquisition equipment, normative edge calculation and open compatibility.
The safe and stable operation of the microgrid must have two basic functions of 'coordination participation' and 'self-healing', and the participating dispersedly-installed clean energy sources (photovoltaic energy, wind energy and the like), controllable loads and energy storage systems which are both power sources and loads have self requirements on the quality of electric energy, such as the requirements of the loads on the continuity, stability and frequency deviation of the power supply voltage; the energy storage system has requirements on frequency, voltage and current, the output of clean energy must strictly limit frequency, phase angle and voltage, otherwise, internal electric energy quality accidents can also occur, and the coordination and participation of the electric energy quality are controlled to be an indispensable means.
In the process of power supply, grid connection or participation in power trading by combining a virtual power plant inside a microgrid, the power supply quality is also subjected to index requirements; when the problem of power quality is found in the operation process and the electric power transaction or the load operation is influenced, the function of realizing self-healing is an important standard for evaluating the reliability of the micro-grid.
Disclosure of Invention
In view of the above analysis, the present invention aims to provide a microgrid power quality control system and method based on edge calculation, so as to solve the problems of complicated control process, high control difficulty and the like caused by the processes of power quality acquisition, analysis and control of microgrid system separation in the prior art.
The purpose of the invention is mainly realized by the following technical scheme:
in one aspect, a microgrid power quality control system based on edge computing is disclosed, the system comprising:
the DSP sampling controller is used for acquiring the power quality data of each node in the microgrid, and transmitting the data to the MCU analysis module and the edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data;
the MCU analysis module is used for judging whether the basic power quality data of each node after A/D conversion deviates from a reference range, and if so, generating a control instruction for controlling the working state of the inverter according to the deviation degree; if not, judging whether the comprehensive power quality data of each node after A/D conversion is abnormal or not, and if so, feeding the abnormality back to the edge calculation module;
the edge calculation module is used for receiving the abnormity fed back by the MCU analysis module, sending the abnormity to a built-in model, processing the abnormity diagnosis result by the built-in model, and generating a control instruction for controlling the working state of the inverter according to the abnormity diagnosis result;
and the inverter is used for receiving the control instruction for controlling the working state of the inverter and adjusting the working state of the inverter.
On the basis of the scheme, the invention is further improved as follows:
further, the basic power quality data includes frequency and voltage, and the comprehensive power quality data at least includes one of the following data: transient events, harmonics, three-phase imbalance indicator data, phase angles of three-phase signals.
Further, in the MCU analysis module, the following operations are performed:
if the frequency value of a certain node deviates from the frequency reference range, sending a control instruction which corresponds to the actual frequency range and controls the working state of the inverter according to the actual frequency range in which the frequency value is located;
and if the frequency value of a certain node is within the frequency reference range and the voltage value of the node deviates from the voltage reference range, sending a control instruction which corresponds to the actual voltage range and controls the working state of the inverter according to the actual voltage range of the voltage value.
Further, in the MCU analysis module, the following operations are also performed:
if the frequency value of a certain node is in the frequency reference range and the voltage value is in the voltage reference range, judging that:
if so, triggering the edge calculation module, determining an interference source of the transient event by the edge calculation module through receiving an inverter switch action signal, sending the transient event and the interference source of the transient event to a transient event model built in the edge calculation module, and processing by the transient event model to obtain an abnormal diagnosis result of the transient event;
if yes, triggering the edge calculation module, determining an interference source with over-standard harmonic waves by the edge calculation module through receiving a switching action signal of an inverter, sending the interference source with over-standard harmonic waves and the interference source with over-standard harmonic waves to a harmonic wave treatment model built in the edge calculation module, and processing the harmonic wave treatment model to obtain an abnormal diagnosis result with over-standard harmonic waves;
if the three-phase imbalance exceeds the standard, triggering the edge calculation module, determining an interference source of the three-phase imbalance exceeding the standard by the edge calculation module through receiving a switching action signal of an inverter, sending the interference source of the three-phase imbalance exceeding the standard and the interference source of the three-phase imbalance exceeding the standard to a three-phase imbalance model built in the edge calculation module, and processing the three-phase imbalance model to obtain an abnormal diagnosis result of the three-phase imbalance exceeding the standard;
if the phase angles of the three-phase signals are inconsistent, triggering the edge calculation module, determining an interference source of the inconsistent phase angles of the three-phase signals by the edge calculation module through receiving an inverter switch action signal, sending the phase angles of the three-phase signals and the interference source of the inconsistent phase angles of the three-phase signals to a phase angle adjusting model built in the edge calculation module, and processing by the phase angle adjusting model to obtain an abnormal diagnosis result of the inconsistent phase angles of the three-phase signals.
Further, if the frequency value of a node deviates from the frequency reference range, a control instruction for controlling the operating state of the inverter corresponding to the actual frequency range is issued according to the actual frequency range in which the frequency value is located, including:
when the frequency value of the certain node is in an FH2 area, controlling the inverter to store energy and charge, carrying out disturbance monitoring on the inverter, and if the disturbance duration is longer than 30min, limiting the DG output;
when the frequency value of the certain node is in an FL2 area, controlling an inverter to store energy and discharge, and carrying out disturbance monitoring on the inverter, and if the disturbance duration is longer than 30min, cutting off an unimportant load;
when the frequency value of a certain node is in an FH3 area, limiting DG output;
when the frequency value of the certain node is in the FL3 area, cutting off the unimportant load;
and when the frequency value of the certain node is in the FL4 or FH4 region, protection and fault isolation are carried out.
Further, if the frequency value of a node is within the frequency reference range and the voltage value of the node deviates from the voltage reference range, a control command for controlling the operating state of the inverter corresponding to the actual voltage range is issued according to the actual voltage range in which the voltage value is located, including:
when the voltage value of the certain node is in the UL2 area, increasing the reactive power;
when the voltage value of the certain node is in a UH2 area, reducing reactive power;
when the voltage value of the certain node is in the UL3 area, cutting off the unimportant load;
when the voltage value of the certain node is in a UH3 area, limiting DG output;
and when the voltage value of the certain node is in an UL4 or UH4 area, protection and fault isolation are carried out.
Further, the system also comprises an energy storage controller and a photovoltaic controller; the inverter comprises an energy storage inverter and a photovoltaic inverter; wherein the content of the first and second substances,
the energy storage controller is cascaded with each energy storage inverter and is used for receiving switching action signals of each energy storage inverter in cascade and sending the switching action signals to the edge calculation module; the MCU analysis module or the edge calculation module is also used for receiving a control instruction for controlling the working state of the inverter and generated by the MCU analysis module or the edge calculation module, and sending the control instruction to the corresponding energy storage inverter;
the photovoltaic inverter is cascaded with each photovoltaic inverter and is used for receiving switching action signals of each cascaded photovoltaic inverter and sending the switching action signals to the edge calculation module; and the control module is also used for receiving a control instruction which is generated by the MCU analysis module or the edge calculation module and used for controlling the working state of the inverter, and sending the control instruction to the corresponding photovoltaic inverter.
Further, the energy storage controller is further configured to cascade the Zigbee communication unit in each energy storage control and the pulse unit in each energy storage control; the level signal interaction between the energy storage controller and the energy storage inverter is realized by using a pulse unit in the energy storage control;
the photovoltaic controller is also used for cascading the Zigbee communication units in each photovoltaic control and the pulse units in each photovoltaic control; and the pulse unit in the photovoltaic control is utilized to realize level signal interaction between the photovoltaic controller and the photovoltaic inverter.
Further, the system further comprises a DUT concentrator, and the DUT concentrator is used for collecting information in the Zigbee communication unit in the energy storage control and the Zigbee communication unit in the photovoltaic control and sending the information to the cloud server.
On the other hand, the method for controlling the power quality of the micro-grid based on the edge calculation comprises the following steps:
collecting power quality data of each node in the microgrid through a DSP sampling controller, and transmitting the data to an MCU analysis module and an edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data;
the MCU analysis module judges whether the basic power quality data of each node after A/D conversion deviates from a reference range, and if so, a control instruction for controlling the working state of the inverter is generated according to the deviation degree; if not, judging whether the comprehensive power quality data of each node after A/D conversion is abnormal or not, and if so, feeding the abnormality back to the edge calculation module;
the edge calculation module receives the abnormity fed back by the MCU analysis module, sends the abnormity to a built-in model, obtains an abnormity diagnosis result through processing of the built-in model, and generates a control instruction for controlling the working state of the inverter according to the abnormity diagnosis result;
the inverter receives the control instruction for controlling the working state of the inverter and adjusts the working state of the inverter based on the control instruction for controlling the working state of the inverter
The invention has the following beneficial effects:
according to the micro-grid power quality control system and method based on edge calculation, on the basis of traditional power quality monitoring and micro-grid energy management, functions of software and hardware are combined through software and hardware improvement and control strategy optimization, certain edge calculation capacity is achieved, the three processes of traditional power quality acquisition, analysis and control are integrated on site, and flexible control of micro-grid on-site resources is achieved. The utilization efficiency of a photovoltaic inverter, an energy storage converter and the like is improved, the electric energy quality in the field of new energy micro-grids of photovoltaic power generation, an energy storage system and the like can be monitored, analyzed and controlled on site, and the safety, stability and economic benefits of the micro-grid are greatly improved.
In the invention, the technical schemes can be combined with each other to realize more preferable combination schemes. 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.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, wherein like reference numerals are used to designate like parts throughout.
FIG. 1 is a schematic diagram of a micro-grid power quality control system based on edge calculation according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a control process of the MCU analysis module and the edge calculation module in the embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating an analysis flow when a frequency value of a node of the MCU analysis module deviates from a frequency reference range and a voltage value deviates from a voltage reference range according to an embodiment of the present invention;
FIG. 4 is a logic diagram illustrating the control of the energy storage controller and the energy storage inverter according to an embodiment of the present invention;
fig. 5 is a flowchart of a method for controlling the power quality of a microgrid based on edge calculation according to an embodiment of the present invention.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
Example 1
An embodiment of the present invention discloses a microgrid power quality control system based on edge calculation, a schematic structural diagram is shown in fig. 1, and the system includes:
the DSP sampling controller is used for acquiring the power quality data of each node in the microgrid, and transmitting the data to the MCU analysis module and the edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data; the MCU analysis module is used for judging whether the basic power quality data of each node after A/D conversion deviates from a reference range, and if so, generating a control instruction for controlling the working state of the inverter according to the deviation degree; if not, judging whether the comprehensive power quality data of each node after A/D conversion is abnormal or not, and if so, feeding the abnormality back to the edge calculation module; the edge calculation module (also called edge calculation framework) is used for receiving the abnormity fed back by the MCU analysis module, sending the abnormity to a built-in model, processing the abnormity diagnosis result by the built-in model, and generating a control instruction for controlling the working state of the inverter according to the abnormity diagnosis result; and the inverter is used for receiving the control instruction for controlling the working state of the inverter and adjusting the working state of the inverter.
Compared with the prior art, the micro-grid power quality control system based on edge calculation reduces the complex process of the traditional solution, improves the power quality regulation efficiency and ensures the power output quality by integrating the acquisition, analysis, local control and regulation of power quality data; meanwhile, the integrated analysis of the power quality data is beneficial to realizing the overall control of the data of the micro-grid, and the working personnel can more deeply know the operation condition of the whole system; according to the scheme, the later-stage micro-grid investment is saved through early-stage reasonable planning, and the operation level of the micro-grid is integrally improved.
The node is also called a Point of Common Coupling (PCC), and refers to one or more load connections in the power system.
Preferably, the basic power quality data includes frequency and voltage, and the comprehensive power quality data includes at least one of: transient state event, harmonic, unbalanced three phase index data, the phase angle of three-phase signal, simultaneously, can also increase other comprehensive electric energy quality data according to the actual control demand of little electric wire netting electric energy quality control system, for example, idle.
According to the dynamic characteristics of voltage, frequency, harmonic waves and three-phase unbalance, voltage and frequency stable areas are classified according to a certain grade, as shown in tables 1 and 2:
TABLE 1 frequency rank grading Table
Table 2 frequency ranking table
Preferably, in the MCU analysis module, the following operations are performed to realize the determination of the basic power quality data, and the operation process may refer to fig. 2 and 3:
step S101: if the frequency value of a certain node deviates from the frequency reference range, sending a control instruction which corresponds to the actual frequency range and controls the working state of the inverter according to the actual frequency range in which the frequency value is located;
step S102: and if the frequency value of a certain node is within the frequency reference range and the voltage value of the node deviates from the voltage reference range, sending a control instruction which corresponds to the actual voltage range and controls the working state of the inverter according to the actual voltage range of the voltage value.
In step S101, the following process is specifically performed:
step S1011: when the frequency value of a certain node is in an FH2 area, controlling an inverter to store energy and charge, carrying out disturbance monitoring on the inverter, and if the disturbance duration is longer than 30min, limiting DG (distributed generation) output;
step S1012: when the frequency value of the certain node is in an FL2 area, controlling an inverter to store energy and discharge, and carrying out disturbance monitoring on the inverter, and if the disturbance duration is longer than 30min, cutting off an unimportant load; the non-important load here refers to a load that affects the safe and stable operation of the microgrid, and may include, for example, loads in which the following situations occur: frequency exceeds a predicted value; the frequency is beyond the national standard allowable range; the voltage drops to the allowable range of the equipment operation; a transient event causes a fault; the harmonic interference is serious; severe three-phase imbalance.
Step S1013: when the frequency value of a certain node is in an FH3 area, limiting DG output;
step S1014: when the frequency value of the certain node is in the FL3 area, cutting off the unimportant load;
step S1014: and when the frequency value of the certain node is in the FL4 or FH4 region, protection and fault isolation are carried out.
In step S102, the following process is specifically performed:
step S1021: when the voltage value of the certain node is in the UL2 area, increasing the reactive power; specifically, the idle photovoltaic inverter or the energy storage converter can be controlled to send reactive power, so that the purpose of increasing the reactive power is achieved;
step S1022: when the voltage value of the certain node is in a UH2 area, reducing reactive power;
step S1023: when the voltage value of the certain node is in the UL3 area, cutting off the unimportant load;
step S1024: when the voltage value of the certain node is in a UH3 area, limiting DG output;
step S1025: and when the voltage value of the certain node is in an UL4 or UH4 area, protection and fault isolation are carried out.
Preferably, in the MCU analysis module, the following operations are further performed to realize the determination of the comprehensive power quality data:
step S103: if the frequency value of a certain node is in the frequency reference range and the voltage value is in the voltage reference range, judging that:
if so, triggering the edge calculation module, determining an interference source of the transient event by the edge calculation module through receiving an inverter switch action signal, sending the transient event and the interference source of the transient event to a transient event model built in the edge calculation module, and processing by the transient event model to obtain an abnormal diagnosis result of the transient event;
if yes, triggering the edge calculation module, determining an interference source with over-standard harmonic waves by the edge calculation module through receiving a switching action signal of an inverter, sending the interference source with over-standard harmonic waves and the interference source with over-standard harmonic waves to a harmonic wave treatment model built in the edge calculation module, and processing the harmonic wave treatment model to obtain an abnormal diagnosis result with over-standard harmonic waves;
if the three-phase imbalance exceeds the standard, triggering the edge calculation module, determining an interference source of the three-phase imbalance exceeding the standard by the edge calculation module through receiving a switching action signal of an inverter, sending the interference source of the three-phase imbalance exceeding the standard and the interference source of the three-phase imbalance exceeding the standard to a three-phase imbalance model built in the edge calculation module, and processing the three-phase imbalance model to obtain an abnormal diagnosis result of the three-phase imbalance exceeding the standard;
if the phase angles of the three-phase signals are inconsistent, triggering the edge calculation module, determining an interference source of the inconsistent phase angles of the three-phase signals by the edge calculation module through receiving an inverter switch action signal, sending the phase angles of the three-phase signals and the interference source of the inconsistent phase angles of the three-phase signals to a phase angle adjusting model built in the edge calculation module, and processing by the phase angle adjusting model to obtain an abnormal diagnosis result of the inconsistent phase angles of the three-phase signals.
It should be noted that, in the above process, the determination methods of the transient event, the harmonic exceeding, the three-phase imbalance exceeding, the phase angle of the three-phase signal being inconsistent, and the like are all common knowledge in the art, and are not described herein again. It is also common knowledge in the art to determine the source of each disturbance by receiving inverter switching signals. Taking the processing of the transient event as an example, by receiving the switching action signal of the inverter, whether actions such as three-phase asymmetric short circuit, transformer operation, heavy load starting and the like occur in the local micro-grid can be determined, if so, local interference is caused, and if not, external interference is caused; the transient event model obtains an abnormal diagnosis result according to data such as the continuous frequency, waveform data and amplitude variation of the transient event, for example, for the foreign interference, an alarm can be given to prompt that the external interference is serious so as to be convenient for a worker to handle; local interference can be eliminated by controlling the working state of the inverter, and the quality of output electric energy is ensured.
Preferably, the system further comprises an energy storage controller, a photovoltaic controller; the inverter comprises an energy storage inverter and a photovoltaic inverter; the energy storage controller is cascaded with each energy storage inverter and is used for receiving switching action signals of each energy storage inverter in cascade and sending the switching action signals to the edge calculation module; the MCU analysis module or the edge calculation module is also used for receiving a control instruction for controlling the working state of the inverter and generated by the MCU analysis module or the edge calculation module, and sending the control instruction to the corresponding energy storage inverter; the photovoltaic inverter is cascaded with each photovoltaic inverter and is used for receiving switching action signals of each cascaded photovoltaic inverter and sending the switching action signals to the edge calculation module; and the control module is also used for receiving a control instruction which is generated by the MCU analysis module or the edge calculation module and used for controlling the working state of the inverter, and sending the control instruction to the corresponding photovoltaic inverter. The above arrangement can realize the centralized control of the inverter-inverter and the photovoltaic inverter, and when the micro-grid is added with other electric energy forms, the control of the corresponding inverter can be realized according to the cascade mode, so that when the micro-grid is added with the inverter, the photovoltaic inverter or other electric energy forms, the system can still realize the control of the corresponding inverter. For example, the energy storage controller and the energy storage inverter control logic are shown in fig. 4.
Preferably, the energy storage controller is further configured to cascade the Zigbee communication unit in each energy storage control and the pulse unit in each energy storage control; the level signal interaction between the energy storage controller and the energy storage inverter is realized by using a pulse unit in the energy storage control; the photovoltaic controller is also used for cascading the Zigbee communication units in each photovoltaic control and the pulse units in each photovoltaic control; and the pulse unit in the photovoltaic control is utilized to realize level signal interaction between the photovoltaic controller and the photovoltaic inverter. Preferably, the system further includes a DUT concentrator, configured to collect information in the Zigbee communication unit in the energy storage control and the Zigbee communication unit in the photovoltaic control, and send the information to the cloud server.
Preferably, the energy storage converter/photovoltaic inverter can adopt a three-phase full-bridge voltage type PWM control type, the topological structure device can be used for multiple purposes such as a photovoltaic inverter, an energy storage converter, reactive compensation and harmonic suppression, adjustment can be known only through programs, and the mode is reliable through repeated tests.
In summary, on the basis of traditional power quality monitoring and microgrid energy management, functions of the traditional power quality monitoring and microgrid energy management are combined through software and hardware improvement and control strategy optimization, certain edge computing capacity is achieved, the traditional three processes of power quality acquisition, analysis and control are integrated on site, and flexible control of microgrid on-site resources is achieved. The utilization efficiency of a photovoltaic inverter, an energy storage converter and the like is improved, the electric energy quality in the field of new energy micro-grids of photovoltaic power generation, an energy storage system and the like can be monitored, analyzed and controlled on site, and the safety, stability and economic benefits of the micro-grid are greatly improved.
Example 2
In another embodiment of the present invention, a method for controlling the power quality of a microgrid based on edge calculation is provided, and a flowchart is shown in fig. 5, and includes the following steps:
step S201: the DSP sampling controller is used for collecting power quality data of each node in the microgrid, and the power quality data are transmitted to the MCU analysis module and the edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data;
step S202: the MCU analysis module judges whether the basic power quality data of each node after A/D conversion deviates from a reference range, and if so, a control instruction for controlling the working state of the inverter is generated according to the deviation degree; if not, judging whether the comprehensive power quality data of each node after A/D conversion is abnormal or not, and if so, feeding the abnormality back to the edge calculation module;
step S203: the edge calculation module receives the abnormity fed back by the MCU analysis module, sends the abnormity to a built-in model, obtains an abnormity diagnosis result through processing of the built-in model, and generates a control instruction for controlling the working state of the inverter according to the abnormity diagnosis result;
step S204: the inverter receives the control instruction for controlling the working state of the inverter and adjusts the working state of the inverter based on the control instruction for controlling the working state of the inverter.
The method embodiment and the system embodiment are based on the same principle, and related parts can be referenced mutually, and the same technical effect can be achieved.
Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium, to instruct related hardware. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. A microgrid power quality control system based on edge computing, the system comprising:
the DSP sampling controller is used for acquiring the power quality data of each node in the microgrid, and transmitting the data to the MCU analysis module and the edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data;
the MCU analysis module is used for judging whether the basic power quality data of each node after A/D conversion deviates from a reference range, and if so, generating a control instruction for controlling the working state of the inverter according to the deviation degree; if not, judging whether the comprehensive power quality data of each node after A/D conversion is abnormal or not, and if so, feeding the abnormality back to the edge calculation module;
the edge calculation module is used for receiving the abnormity fed back by the MCU analysis module, sending the abnormity to a built-in model, processing the abnormity diagnosis result by the built-in model, and generating a control instruction for controlling the working state of the inverter according to the abnormity diagnosis result;
and the inverter is used for receiving the control instruction for controlling the working state of the inverter and adjusting the working state of the inverter.
2. The microgrid power quality control system of claim 1, wherein the basic power quality data comprises frequency, voltage, and the comprehensive power quality data comprises at least one of: transient events, harmonics, three-phase imbalance indicator data, phase angles of three-phase signals.
3. The microgrid power quality control system based on edge computing of claim 2, characterized in that in the MCU analysis module, the following operations are performed:
if the frequency value of a certain node deviates from the frequency reference range, sending a control instruction which corresponds to the actual frequency range and controls the working state of the inverter according to the actual frequency range in which the frequency value is located;
and if the frequency value of a certain node is within the frequency reference range and the voltage value of the node deviates from the voltage reference range, sending a control instruction which corresponds to the actual voltage range and controls the working state of the inverter according to the actual voltage range of the voltage value.
4. The microgrid power quality control system based on edge computing of claim 3, characterized in that in the MCU analysis module, the following operations are also performed:
if the frequency value of a certain node is in the frequency reference range and the voltage value is in the voltage reference range, judging that:
if so, triggering the edge calculation module, determining an interference source of the transient event by the edge calculation module through receiving an inverter switch action signal, sending the transient event and the interference source of the transient event to a transient event model built in the edge calculation module, and processing by the transient event model to obtain an abnormal diagnosis result of the transient event;
if yes, triggering the edge calculation module, determining an interference source with over-standard harmonic waves by the edge calculation module through receiving a switching action signal of an inverter, sending the interference source with over-standard harmonic waves and the interference source with over-standard harmonic waves to a harmonic wave treatment model built in the edge calculation module, and processing the harmonic wave treatment model to obtain an abnormal diagnosis result with over-standard harmonic waves;
if the three-phase imbalance exceeds the standard, triggering the edge calculation module, determining an interference source of the three-phase imbalance exceeding the standard by the edge calculation module through receiving a switching action signal of an inverter, sending the interference source of the three-phase imbalance exceeding the standard and the interference source of the three-phase imbalance exceeding the standard to a three-phase imbalance model built in the edge calculation module, and processing the three-phase imbalance model to obtain an abnormal diagnosis result of the three-phase imbalance exceeding the standard;
if the phase angles of the three-phase signals are inconsistent, triggering the edge calculation module, determining an interference source of the inconsistent phase angles of the three-phase signals by the edge calculation module through receiving an inverter switch action signal, sending the phase angles of the three-phase signals and the interference source of the inconsistent phase angles of the three-phase signals to a phase angle adjusting model built in the edge calculation module, and processing by the phase angle adjusting model to obtain an abnormal diagnosis result of the inconsistent phase angles of the three-phase signals.
5. The microgrid electrical energy quality control system based on edge calculation of claim 3, wherein if a frequency value of a certain node deviates from a frequency reference range, a control command for controlling the operating state of the inverter corresponding to an actual frequency range is issued according to the actual frequency range in which the frequency value is located, and the control command comprises:
when the frequency value of the certain node is in an FH2 area, controlling the inverter to store energy and charge, carrying out disturbance monitoring on the inverter, and if the disturbance duration is longer than 30min, limiting the DG output;
when the frequency value of the certain node is in an FL2 area, controlling an inverter to store energy and discharge, and carrying out disturbance monitoring on the inverter, and if the disturbance duration is longer than 30min, cutting off an unimportant load;
when the frequency value of a certain node is in an FH3 area, limiting DG output;
when the frequency value of the certain node is in the FL3 area, cutting off the unimportant load;
and when the frequency value of the certain node is in the FL4 or FH4 region, protection and fault isolation are carried out.
6. The microgrid power quality control system based on edge calculation of claim 3, wherein if a frequency value of a certain node is within a frequency reference range and a voltage value of the node deviates from a voltage reference range, a control command for controlling an operating state of an inverter corresponding to an actual voltage range is issued according to the actual voltage range in which the voltage value is located, and the control command comprises:
when the voltage value of the certain node is in the UL2 area, increasing the reactive power;
when the voltage value of the certain node is in a UH2 area, reducing reactive power;
when the voltage value of the certain node is in the UL3 area, cutting off the unimportant load;
when the voltage value of the certain node is in a UH3 area, limiting DG output;
and when the voltage value of the certain node is in an UL4 or UH4 area, protection and fault isolation are carried out.
7. The microgrid power quality control system based on edge calculation of any of claims 1-6, characterized in that the system further comprises an energy storage controller, a photovoltaic controller; the inverter comprises an energy storage inverter and a photovoltaic inverter; wherein the content of the first and second substances,
the energy storage controller is cascaded with each energy storage inverter and is used for receiving switching action signals of each energy storage inverter in cascade and sending the switching action signals to the edge calculation module; the MCU analysis module or the edge calculation module is also used for receiving a control instruction for controlling the working state of the inverter and generated by the MCU analysis module or the edge calculation module, and sending the control instruction to the corresponding energy storage inverter;
the photovoltaic inverter is cascaded with each photovoltaic inverter and is used for receiving switching action signals of each cascaded photovoltaic inverter and sending the switching action signals to the edge calculation module; and the control module is also used for receiving a control instruction which is generated by the MCU analysis module or the edge calculation module and used for controlling the working state of the inverter, and sending the control instruction to the corresponding photovoltaic inverter.
8. The microgrid power quality control system of claim 7, wherein the grid power quality control system comprises a grid power supply,
the energy storage controller is also used for cascading the Zigbee communication units in each energy storage control and the pulse units in each energy storage control; the level signal interaction between the energy storage controller and the energy storage inverter is realized by using a pulse unit in the energy storage control;
the photovoltaic controller is also used for cascading the Zigbee communication units in each photovoltaic control and the pulse units in each photovoltaic control; and the pulse unit in the photovoltaic control is utilized to realize level signal interaction between the photovoltaic controller and the photovoltaic inverter.
9. The microgrid power quality control system based on edge computing of claim 8, further comprising a DUT concentrator for aggregating information in the Zigbee communication units in the energy storage control and the Zigbee communication units in the photovoltaic control and sending the information to a cloud server.
10. A microgrid power quality control method based on edge calculation is characterized by comprising the following steps:
the method comprises the following steps that a DSP sampling controller collects power quality data of each node in a microgrid, and the power quality data are transmitted to an MCU analysis module and an edge calculation module after A/D conversion; the power quality data comprises basic power quality data and comprehensive power quality data;
the MCU analysis module judges whether the basic power quality data of each node after A/D conversion deviates from a reference range, and if so, a control instruction for controlling the working state of the inverter is generated according to the deviation degree; if not, judging whether the comprehensive power quality data of each node after A/D conversion is abnormal or not, and if so, feeding the abnormality back to the edge calculation module;
the edge calculation module receives the abnormity fed back by the MCU analysis module, sends the abnormity to a built-in model, obtains an abnormity diagnosis result through processing of the built-in model, and generates a control instruction for controlling the working state of the inverter according to the abnormity diagnosis result;
the inverter receives the control instruction for controlling the working state of the inverter and adjusts the working state of the inverter based on the control instruction for controlling the working state of the inverter.
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