Online cooperative heat supply control system and method of cooperative network system

Abstract

The invention relates to the technical field of intelligent management of power generation enterprises, in particular to an on-line cooperative heat supply control system and method of a cooperative network system.The cooperative network system is composed of a plurality of heat supply units and comprises a collecting part, a data processing part and a data processing part, heat supply data and environment temperature change data of each unit and power grid load change data of the collaborative network system are collected; and the control part is used for identifying the actual state of each unit based on the heat supply data, the environment temperature change data and the power grid load change data, forming an optimal combination scheme under various heat supply modes and peak regulation modes, generating an online cooperative heat supply control instruction and controlling each unit to work. Therefore, the problems that in the related technology, a peak regulation means only focuses on deep peak regulation, the unit tip peak capacity is weakened, an online cooperation scheme is lacked after multi-mode transformation, then the deep peak regulation and the high rated load output capacity need to be considered in flexible transformation of the heat supply unit, and it is difficult for a power generation enterprise to achieve economic benefit maximization through cooperation are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent management of power generation enterprises, and in particular to an online collaborative heat supply control system and method of a collaborative network system. BACKGROUND

[0002] With the continuous acceleration of the new round of scientific and technological revolution and industrial change, smart energy has become an inevitable trend of future development. Power enterprises are facing the pressure and challenges of transformation and upgrading to adapt to new changes. The industry has fully started the construction of smart power plants. How to realize scientific and continuous reduction of coal consumption level through intelligent means is the core function and goal of the smart operation module of the smart power plant, and is also a strategic measure for power enterprises to enhance competitive advantage and management and operation capability. At the same time, the installed capacity of wind power and photovoltaic power is still growing rapidly. In the heating period, peak regulation difficulty is still one of the most prominent problems in power grid operation.

[0003] In the related art, heat supply flexibility reconstruction has been carried out in the Northeast region, such as heat storage tank, electric boiler, and low-pressure cylinder zero output, and other technologies are being applied. In order to promote the depth of peak regulation policy, the scope of heat supply flexibility reconstruction is also becoming wider and wider.

[0004] However, in the related art, the implementation of various peak regulation means has played a positive role in the acceptance of clean energy such as wind power, but it has also brought some problems: First, only focusing on deep peak regulation weakens the peak capacity of the unit, so under the premise of deep peak regulation, the heat supply unit is required to have an output capacity of more than 90% of the rated load, which poses a new challenge to the flexibility reconstruction of the heat supply unit.

[0005] Second, some power plants have adopted multi-mode flexibility reconstruction. How to realize online collaborative heat supply, power supply, and deep peak regulation compensation to obtain the maximum economic benefit is also a new challenge faced by power generation enterprises.

[0006] Therefore, it is of great significance to carry out research and application of multi-mode collaborative operation intelligent optimization technology of heat supply units. SUMMARY

[0007] The present application provides an online collaborative heat supply control system and method of a collaborative network system to solve the problems in the related art that the peak regulation means only focuses on deep peak regulation, weakens the peak capacity of the unit, lacks an online collaborative scheme after multi-mode reconstruction, and thus leads to the need to consider deep peak regulation and high rated load output capacity for flexibility reconstruction of the heat supply unit, and the difficulty for power generation enterprises to maximize economic benefits through collaboration.

[0008] The first aspect embodiment of the application provides an online cooperative heating control system of a cooperative network system, comprising: the cooperative network system is composed of a plurality of heating units, wherein the plurality of heating units at least include a group of high-low pressure bypass heating reconstruction pure condensing units, a group of high back pressure heating reconstruction pure condensing units, a group of low pressure cylinder zero output heating reconstruction extraction condensing units or a group of extraction heating reconstruction extraction condensing units, the heating end of each unit is connected to a public heating pipeline through a heat exchanger, the power supply end of each unit is connected to a public power supply network through an electric energy quality monitor, and the power supply end of each unit is further connected to at least a group of electric boilers and a group of all-vanadium redox flow batteries, wherein the system comprises: a collection device for collecting heating data of the units, and collecting environmental temperature change data of the current environment and power grid load change data of the cooperative network system; a control device for identifying the actual state of the units based on the heating data, the environmental temperature change data and the power grid load change data, and generating an online cooperative heating control instruction according to the best combination scheme in multiple heating modes and peak regulation modes based on the actual state of the units, and controlling the units to work.

[0009] Through the above technical means, the online cooperative heating control system can integrate various types of heating units, match electric boilers and all-vanadium redox flow batteries, collect unit heating data, environmental temperature change data and power grid load change data through the collection device, and further identify the actual state of the units based on the data through the control device, generate the best combination scheme in multiple heating and peak regulation modes, and issue cooperative control instructions, so as to realize online cooperative optimization of unit heating, power supply and deep peak regulation, which can not only guarantee the stability and reliability of public heating and power supply, but also improve the adaptive capacity of the system to load fluctuation and the overall energy utilization efficiency.

[0010] Optionally, in an embodiment of the application, a microcomputer is embedded in the collection device, wherein the microcomputer is respectively connected to a clock circuit, a storage circuit, an LCD display screen, a wireless communication circuit, a USB interface, a communication circuit, a keyboard, a lithium battery and a sampling processing circuit, the wireless communication circuit is in communication connection with a pipe network temperature transmitter, an out-pipe network temperature transmitter and an environmental network temperature transmitter of the cooperative network system, so as to receive the environmental temperature change data.

[0011] Through the technical means, the collection piece is connected with clock, storage, LCD display, USB interface, keyboard, lithium battery and sampling processing circuit through embedded microcomputer to build complete data collection, storage, display, input and output and power supply guarantee link. On the other hand, the collection piece can communicate with the pipe in and out and environmental network temperature transmitter to accurately receive environmental temperature change data, and finally realize comprehensive collection, stable transmission and reliable processing of multi-dimensional data, which provides technical support for hardware integration and data transmission of the collaborative network system based on environmental temperature, heat load and other data.

[0012] Optionally, in an embodiment of the present application, an antenna is arranged on the shell of the collection piece.

[0013] Through the technical means, the antenna arranged on the shell of the collection piece can enhance the receiving and transmitting capacity of the wireless communication signal, guarantee the stability and timeliness of the environmental temperature change data transmission between the collection piece and various temperature transmitters, so as to provide reliable data transmission support for the subsequent control piece to accurately identify the unit state and generate collaborative control instructions.

[0014] Optionally, in an embodiment of the present application, the collection piece comprises an electric energy quality monitor for collecting power grid frequency and voltage fluctuation parameters of corresponding units to generate the power grid load change data.

[0015] The embodiment of the present application can collect power grid frequency, voltage fluctuation and other power grid load change data of each unit through the electric energy quality monitor, and simultaneously collect heating data and environmental temperature change data of each unit, so as to realize comprehensive capture of key data related to heating, environment and power grid load, and provide accurate data support for intelligent control, load matching and efficient operation of the collaborative network system.

[0016] Optionally, in an embodiment of the present application, the electric energy quality monitor is built-in with a digital signal processor and a high-speed multi-channel analog-digital converter synchronous sampling module, and a double digital signal processor structure is adopted for data processing and display storage.

[0017] The embodiment of the present application can realize high-speed synchronous collection and efficient data processing of power grid operation parameters by building-in DSP digital signal processor and high-speed multi-channel AD synchronous sampling module in the electric energy quality monitor, and guarantee the stability and reliability of data display and storage by adopting double DSP structure, so as to provide effective technical support for accurately generating power grid load change data and supporting operation of the collaborative network system.

[0018] Optionally, in an embodiment of the present application, the control is specifically used to match whether the units are working in a heating state, a power generation state or a mixed state of heating and power generation, to form the optimal combination scheme in various heating modes and peak regulation modes.

[0019] Through the above technical means, the embodiments of the present application can integrate the heating data, the environmental temperature change data and the power grid load change data through the control, then identify the actual state of heating, power generation or mixed operation of each unit through data correlation analysis, and then optimally combine the operation state of each unit based on the adaptation requirements of different heating modes and peak regulation modes, generate online collaborative heating control instructions and accurately control the operation of the units, and finally realize the accurate matching of supply and demand, efficient energy saving and stable and reliable operation of the collaborative network system in various operation modes.

[0020] The second aspect of the present application provides an online collaborative heating control method of a collaborative network system, comprising the following steps: the collaborative network system is composed of a plurality of heating units, wherein the plurality of heating units at least include a group of high-low pressure bypass heating modified pure condensing units, a group of high back pressure heating modified pure condensing units, a group of low pressure cylinder zero output heating modified extraction condensing units or a group of extraction heating modified extraction condensing units, the heating end of each unit is connected to the public heating pipeline through a heat exchanger, the power supply end of each unit is connected to the public power supply network through a power quality monitor, and the power supply end of each unit is also connected to at least a group of electric boilers and a group of all-vanadium redox flow batteries, wherein the method comprises the following steps: collecting the heating data of each unit, and collecting the environmental temperature change data of the current environment and the power grid load change data of the collaborative network system; identifying the actual state of each unit based on the heating data, the environmental temperature change data and the power grid load change data; generating an optimal combination scheme in various heating modes and peak regulation modes according to the actual state of each unit, generating online collaborative heating control instructions, and controlling the operation of each unit.

[0021] Through the above technical means, the embodiments of the present application can collect the heating data, the environmental temperature change data and the power grid load change data of various types of modified heating units, identify the actual state of the units, generate the optimal combination scheme of various heating and peak regulation modes and issue control instructions, and then realize the collaborative linkage of unit heating, power supply and electric boilers, all-vanadium redox flow batteries, which can not only guarantee the stable operation of the public heating and power supply system, but also improve the response flexibility to load fluctuations and the overall energy utilization efficiency, so as to effectively balance the deep peak regulation and high load output demand, and maximize the economic benefit.

[0022] The third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor executes the program to implement the online collaborative heating control method of the collaborative network system as described in the above embodiments.

[0023] The fourth aspect of the present application provides a non-volatile computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the online collaborative heating control method of the collaborative network system as described above.

[0024] The fifth aspect of the present application provides a computer program product, which stores a computer program, and the program is executed by a processor to implement the online collaborative heating control method of the collaborative network system as described above.

[0025] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be known by the practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and more readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which: Figure 1 A structural schematic diagram of an online collaborative heating control system of a collaborative network system according to an embodiment of the present application; Figure 2 A structural schematic diagram of a collaborative network system according to one specific embodiment of the present application; Figure 3 A principle block diagram of a multi-channel data collector according to one specific embodiment of the present application; Figure 4 An installation schematic diagram of a network temperature transmitter according to one specific embodiment of the present application; Figure 5 A flowchart of an online collaborative heating control method of a collaborative network system according to an embodiment of the present application; Figure 6 A structural schematic diagram of an electronic device according to an embodiment of the present application.

[0027] In the figure: 1 - high-low pressure bypass heating transformation of pure condensing unit, 2 - high back pressure heating transformation of pure condensing unit, 3 - low pressure cylinder zero output heating transformation of extraction condensing unit, 4 - extraction heating transformation of extraction condensing unit, 5 - public heating pipeline, 6 - power quality monitor, 7 - public power supply network, 8 - electric boiler, 9 - all-vanadium redox flow battery, 10 - inverter, 11 - heat exchanger, 12 - inlet pipe network temperature transmitter, 13 - outlet pipe network temperature transmitter, 14 - ambient network temperature transmitter, 15 - data collector, 16 - intelligent terminal, 17 - wireless receiving module. DETAILED DESCRIPTION

[0028] The embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference signs represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0029] Patent (CN201910764919.0) discloses a cold, heat, and electricity triple supply new energy energy storage and energy supply and peak shaving system, comprising: a new energy power generation sub-system, an industrial electromagnetic heating device, a molten salt storage tank sub-system, a molten salt heating sub-system, and a public power distribution network; the new energy power generation sub-system provides electric energy for the industrial electromagnetic heating device, the system's own load, and the public power distribution network; the industrial electromagnetic heating device converts most of the electric energy generated by the photovoltaic and wind power new energy power generation sub-system into heat energy, which is stored by molten salt and supplied externally through the molten salt heating sub-system, part of the electric energy can be supplied to the system for self-use, and the excess can also be supplied to the public power grid. The problem of new energy field consumption and abandoned wind and light is solved.

[0030] Patent (application number CN202510407502.4) discloses a wind-light-coal-storage multi-energy complementary power station peak shaving system and operation method, which comprises a coal-fired generator set, an electric heat pump, a heat storage tank, a cold storage tank, a heat exchanger, wind and photovoltaic power generation equipment, an electric power controller, etc.; during the power valley period, the heat pump absorbs excess power from the power grid and converts it into heat and cold energy, which is stored respectively, and at the same time, a high-temperature heat storage tank is used to store part of the exhaust steam of the medium-pressure cylinder of the steam turbine, during the power peak period, the heat storage cascade heating part of the condensate water of the steam turbine, and at the same time, the cold storage releases to match the high vacuum condenser, thereby improving the electric power output of the unit. By using cascade cold and heat storage instead of electricity storage, flexible and efficient peak shaving of the power station is realized, which can greatly improve the consumption level of new energy power.

[0031] It can be seen that the coupling application of multiple units and multiple heating technologies has a positive significance for coping with different heating loads and different power loads, improving the operating efficiency of the unit and flexible peak shaving under different conditions.

[0032] The online cooperative heating control system and method of the cooperative network system according to the embodiments of the present application are described below with reference to the accompanying drawings. In view of the problems in the related art mentioned above, the peak shaving means only focuses on deep peak shaving, which weakens the peak capacity of the unit, and after multi-mode transformation, there is a lack of online cooperative scheme, which further leads to the problem that the flexibility transformation of the heating unit needs to take into account deep peak shaving and high rated load output capacity, and it is difficult for power generation enterprises to achieve maximum economic benefits through cooperation. The present application provides an online cooperative heating control system of a cooperative network system. In the system, a cooperative network system composed of multiple heating units can be set up, and the optimal combination scheme is formed under multiple heating modes and peak shaving modes based on the control benchmark of environmental temperature change and power grid load change, so that each heating unit can realize efficient operation under multi-mode deep peak shaving cooperation, thereby realizing intelligent operation under multiple heating forms and achieving the goal of energy saving and efficiency improvement. Thus, the problems in the related art, such as the peak shaving means only focusing on deep peak shaving, which weakens the peak capacity of the unit, and after multi-mode transformation, there is a lack of online cooperative scheme, which further leads to the problem that the flexibility transformation of the heating unit needs to take into account deep peak shaving and high rated load output capacity, and it is difficult for power generation enterprises to achieve maximum economic benefits through cooperation, are solved.

[0033] Specifically, Figure 1 A block diagram of the online cooperative heating control system of the cooperative network system provided by the embodiments of the present application is shown.

[0034] As Figure 1 shown, the cooperative network system is composed of multiple heating units, wherein the multiple heating units at least include a group of high-low pressure bypass heating transformation pure condensing units, a group of high back pressure heating transformation pure condensing units, a group of low pressure cylinder zero output heating transformation extraction condensing units or a group of extraction heating transformation extraction condensing units, the heating ends of each unit are respectively connected to the public heating pipeline through the heat exchanger, the power supply ends of each unit are respectively connected to the public power supply network through the power quality monitor, and the power supply ends of each unit are further connected to at least one group of electric boilers and one group of all-vanadium redox flow batteries. The online cooperative heating control system of the cooperative network system comprises an acquisition device 100 and a control device 200.

[0035] The cooperative network system can be understood as a whole formed by interconnecting multiple heating units through communication and control technology, and each unit serves as a network node to link and cooperate, shares data and dynamically allocates heating tasks relying on a unified control platform, so as to realize the goals of stable heating, high efficiency and energy saving, and precise matching of heat load (including adaptation to peak shaving demand), and at the same time, improve the reliability and flexibility of heating.

[0036] In one specific embodiment of the present application, as Figure 2As shown, in the collaborative network system composed of multiple heat supply units, the system can include a group of high-low pressure bypass heat supply modified pure condensing units 1, a group of high back pressure heat supply modified pure condensing units 2, a group of low pressure cylinder zero output heat supply modified extraction condensing units 3, and a group of extraction heat supply modified extraction condensing units 4. The heat supply ends of each unit in the collaborative network system are connected to the public heat supply pipeline 5 through the heat exchanger 11, and the power supply ends of each device are connected to the public power supply pipeline 7 through the power quality monitor 6. The power supply ends of each device are connected to a group of electric boilers 8 and a group of all-vanadium redox flow batteries 9. The steam outlet of the electric boiler is connected to the public heat supply pipeline 5 to realize the conversion of electric energy into supplemental heat energy. The all-vanadium redox flow battery 9 is connected to the public power supply pipeline 7 through the inverter 10 to complete the suppression of short-time power consumption peaks.

[0037] The heat exchanger 11 can be a tubular heat exchanger or a plate heat exchanger. The steam generated by each large unit exchanges heat with the heat supply medium. The electric boiler 8 can be a semiconductor electric boiler with adjustable output power. The all-vanadium redox flow battery 9 can be arranged in multiple groups in parallel. One or more groups use a circulating cutting system to realize charging and discharging within the rated capacity, maintaining the stable operation of the heat supply unit. In this system, the water temperature in the public heat supply pipeline 5 is 35-80°C, and the return water temperature is 20-60°C, which can meet the basic needs of conventional heat supply pipeline networks.

[0038] The collection device 100 is used to collect heat supply data of each unit, and to collect environmental temperature change data of the current environment and power grid load change data of the collaborative network system.

[0039] As shown in the drawings, Figure 3 The medium port of the heat exchanger 11 of each unit is provided with an inlet pipe network temperature transmitter 12, an outlet pipe network temperature transmitter 13, and an environmental network temperature transmitter 14. The data collector 15 collects heat supply data of each unit and transmits it to the intelligent terminal 16 through wireless communication. The intelligent terminal 16 uses environmental temperature changes and power grid load changes as control criteria to match whether each unit is working in a heat supply state, a power generation state, or a mixed state of heat supply and power generation, and forms an optimal combination scheme in multiple heat supply modes and peak shaving modes.

[0040] In an embodiment of the present application, the collection device 100 includes a power quality monitor for collecting power grid frequency and voltage fluctuation parameters of the corresponding unit to generate power grid load change data.

[0041] The power quality monitor can be a special device for real-time collection and analysis of key operating parameters such as power grid voltage, current, frequency, and harmonics. It can identify power quality abnormalities and provide timely alarms. It converts monitoring data into an analyzable format, providing data support for power grid regulation, equipment operation and maintenance (such as generating power grid load change data in the heat supply collaborative network system), and improving power supply reliability in various scenarios.

[0042] The power grid load change signal is from a power quality monitor, and the monitoring content of the power quality monitor can include real-time monitoring of power grid frequency and voltage fluctuation parameters, which can communicate with the intelligent terminal 16 through RS485 / TCP / IP and MODBUS protocols.

[0043] The embodiment of the application can collect power grid load change data such as power grid frequency and voltage fluctuation of each unit through the power quality monitor, and can also synchronously collect heating data and environmental temperature change data of each unit, so as to comprehensively capture key data related to heating, environment, and power grid load, and provide accurate data support for intelligent regulation and control, load matching, and efficient operation of the collaborative network system.

[0044] Further, in an embodiment of the application, the power quality monitor is built-in with a digital signal processor (DSP) and a high-speed multi-channel analog-to-digital converter (AD) synchronous sampling module, and a double digital signal processor (DSP) structure is adopted for data processing and display storage.

[0045] In the embodiment of the application, the power quality monitor can be used as a power detection device developed by a certain company, for real-time monitoring of power grid frequency, harmonics, voltage fluctuation, and flicker parameters, in line with the GB / T14549-93 national standard, and can be applied to power system operation and maintenance and industrial power monitoring; the device can support dynamic testing of reactive power compensation devices, and can realize remote monitoring through a multi-unit network.

[0046] The power quality monitor can adopt a double-DSP architecture combined with 16-bit high-precision A / D sampling technology, with a sampling rate of 12.8 kHz, and can improve measurement accuracy through quasi-synchronous sampling algorithm and transient detection module. The built-in 8-channel 3-phase measurement module and 512M storage space can continuously record data for 4 months, and the device is equipped with a 10.4-inch liquid crystal screen to display waveforms and spectra in real time, the voltage input uses optical isolation, the current input is configured with a precision transformer, meets the 1.5KV voltage resistance standard, and is built-in with a watchdog circuit to ensure stability, and the intelligent terminal can remotely adjust parameters, generate statistical reports, and generate energy consumption curves.

[0047] The embodiment of the application can realize high-speed synchronous acquisition and efficient data processing of power grid operation parameters by built-in DSP digital signal processor and high-speed multi-channel AD synchronous sampling module in the power quality monitor, and can guarantee stable and reliable data display and storage by adopting a double-DSP structure, so as to provide effective technical support for accurate generation of power grid load change data and support for operation of the collaborative network system.

[0048] Optionally, in an embodiment of the present application, the microcomputer 101 is embedded in the acquisition device 100, wherein the microcomputer is connected with the clock circuit 102, the storage circuit 104, the LCD display screen 105, the wireless communication circuit 106, the USB interface 110, the communication circuit 111, the keyboard (working mode setting) 109, the lithium battery 108 and the sampling processing circuit 107, respectively. The wireless communication circuit is in communication connection with the inlet pipe network temperature transmitter, the outlet pipe network temperature transmitter and the environmental network temperature transmitter of the cooperative network system, so as to receive the environmental temperature change data.

[0049] As shown in Figure 4 the data acquisition device circuit, the microcomputer is embedded and connected with the clock circuit, the storage circuit, the LCD display screen, the wireless communication circuit, the USB interface, the communication circuit, the keyboard, the lithium battery and the sampling processing circuit, respectively. The wireless communication circuit is in communication with the inlet pipe network temperature transmitter, the outlet pipe network temperature transmitter and the environmental network temperature transmitter. An antenna can be arranged on the shell of the data acquisition device. The chip model of the embedded microcomputer can be selected as ARMCortex-M series. The series is a 32-bit microprocessor released by ARM Company, which is mainly applied to the fields of embedded systems such as household appliances, medical monitoring and automobile control. The processor can adopt a second-order pipeline von Neumann architecture, provide a sleep / stop low-power mode and a 4μs fast wake-up function, and adapt to the requirements of Internet of Things devices and industrial controllers.

[0050] The embodiment of the present application can realize real-time monitoring of the production process through the intelligent operation and maintenance platform, realize the intelligent operation of the cold end system of the thermal power generating unit and the energy saving and efficiency improvement of the power plant, and the chip model of the temperature sensor can be selected as a one-wire bus type digital temperature transmitter DS18B20, so that the water temperature of the water supply, the return water and the environment can be detected in time by using the temperature transmitter, and the real-time performance of the temperature meets the requirements.

[0051] Further, the chip model of the wireless communication circuit can be selected as CC1101, and the wireless receiving module 17 is arranged on the intelligent terminal 16, and the chip model of the wireless receiving module can be selected as SI24R1. The SI24R1 is a domestic low-power 2.4GHz single-chip wireless transceiver chip, which works in the 2400-2525MHz global ISM frequency band, supports wireless data transmission, smart home, industrial remote control and sensor network and other application fields. The chip model of the wireless communication circuit is CC1101, and the CC1101 wireless module is a micro-power short-range wireless communication module launched by a company, which is designed based on the CC1101 radio frequency chip of TI company, and the core model is UTC-110L. It is mainly applied to wireless remote control, data acquisition, meter reading system and smart home and other fields. The module supports 433MHz frequency band (customizable 315 / 868 / 915MHz), working voltage 1.8-3.6V, temperature range-40℃ to 85℃, adopts half-duplex transparent transmission mechanism, maximum transmission rate 500Kbps, and effective transmission distance in open environment reaches 300-500 meters.

[0052] The model of the sampling processing circuit can be set as AD7606. The AD7606 data acquisition module is a 16-bit ADC, 8 channels are collected at a frequency of 200KHz at the same time, and 8x200K samples per second. SPI interface or 808016-bit parallel port, can be self-selected to adapt to the wired temperature sensor.

[0053] Through the above technical means, the collection part is connected by embedding a microcomputer to build a multi-circuit integrated connection architecture. On the one hand, it can be linked with clock, storage, LCD display, USB interface, keyboard, lithium battery and sampling processing circuit to build a complete data collection, storage, display, input and output and power supply guarantee link. On the other hand, it can rely on the wireless communication circuit and the in-pipe, out-pipe and environmental network temperature transmitter of the collaborative network system to establish communication, accurately receive environmental temperature change data, and combine the processing capacity of the sampling processing circuit for various data, so as to finally realize the comprehensive collection, stable transmission and reliable processing of multi-dimensional data, and provide technical support for hardware integration and data transmission for the collaborative network system based on environmental temperature, heat load and other data to accurately match and intelligently control the heat load.

[0054] Further, the control part 200 is used for identifying the actual state of each unit based on the heat supply data, environmental temperature change data and power grid load change data, and generating an online collaborative heat supply control instruction according to the actual state of each unit to control the operation of each unit.

[0055] The control part can be used as a core control unit in the collaborative network system for identifying the state of each unit, optimizing the operation mode and generating a control instruction based on multi-dimensional data.

[0056] In one embodiment of the present application, the control member is specifically used for matching whether each unit works in a heating state, a power generation state or a mixed state of heating and power generation, so as to form an optimal combination scheme in various heating modes and peak regulation modes.

[0057] Specifically, the steam extraction heating modification is to realize cogeneration by supplying the circulating water of the heat supply network with steam extracted from the steam turbine, and the technology does not involve low-pressure cylinder modification and can be directly implemented on the existing extraction condensing unit; the high-low pressure bypass heating modification is to directly introduce high-temperature steam into the heating system by setting a bypass system without modifying the structure of the low-pressure cylinder, the technology can operate independently of the low-pressure cylinder and is suitable for flexible modification of the pure condensing unit; the low-pressure cylinder zero output heating modification is to supply heat with only the exhaust steam of the intermediate-pressure cylinder by cutting off the steam inlet of the low-pressure cylinder, the modification needs to cut off part of the steam inlet pipeline of the low-pressure cylinder, but does not affect the operation of other units and is mostly implemented on the extraction condensing unit; the high back pressure heating modification is to improve the heating temperature by increasing the exhaust pressure of the low-pressure cylinder without modifying the structure of the steam turbine, the technology can be independently implemented and is suitable for the deep peak regulation demand of the pure condensing unit.

[0058] Taking the heating operation network in winter in the northeast as an example, in 24 hours, the highest ambient temperature is +3℃ and the lowest ambient temperature is -25℃, the heating demand is low from 7:30 to 16:00 and is high from 17:00 to 7:00. According to the latest specification in 2024, according to the regulation of power peak and valley period, industrial and commercial users implement daily three period division: the peak period is from 7:30 to 11:30 and from 17:00 to 21:00 (8 hours in total), the valley period is from 22:00 to 5:00 (7 hours), and the flat period is the remaining 9 hours. The two-stage division is adopted in the pilot of the residential user, and the peak period is from 8:00 to 22:00 (14 hours), and the valley period is from 22:00 to 8:00 the next day (10 hours). In special scenarios (such as data centers), the peak period can be extended to 8:30-11:30 and 18:00-23:00, and the flat period is adjusted to 7:00-8:30 and 11:30-18:00 accordingly. It can be seen that for the thermal power unit, the demand for heating and power supply is fluctuating in the 24-hour cycle, and the fluctuation is large, so the coordinated network system composed of multiple heating units in the embodiment of the application can dynamically adjust the proportion of steam and power generation of each unit, and under the premise of normally guaranteeing heating, the unit can generate power and access the grid to obtain electricity charges. If an abnormal situation occurs during the heating process, resulting in insufficient heating power, the electric boiler can be started to quickly make up for the gap in heating, achieving rapid response. If the electricity is in the valley period at this time, the heating demand can also be met, and the excess electricity can be stored in the all-vanadium redox flow battery 9. This stored electricity can be accessed to the grid again at the peak of the next day, so that the operation of the thermal power unit is more stable, and frequent adjustment due to the fluctuation of daily heating and power supply is avoided, thereby being conducive to ensuring the safety and economy of heating and power supply.

[0059] Through the above technical means, the online coordinated heating control system of the coordinated network system proposed in the embodiment of the application can integrate the heating data, ambient temperature change data and power grid load change data through the control member, then identify the actual state of heating, power generation or mixed operation of each unit through data correlation analysis, and then optimally combine and match the operation state of each unit based on the adaptation requirements of different heating modes and peak shaving modes, generate online coordinated heating control instructions and accurately control the unit work, and finally realize the accurate matching of supply and demand, high efficiency and energy saving and stable and reliable operation of the coordinated network system in multiple operation modes.

[0060] In summary, through experimental verification, the online coordinated heating control system of the coordinated network system proposed in the embodiment of the application has great improvement in economic benefit and social benefit compared with the prior art: In terms of economic benefit, the above heating control system can apply the multi-mode coordinated operation intelligent optimization technology of the heating unit to realize a decrease of 1 g / kWh in power supply coal consumption during the heating period of the unit; and obtain the maximum benefit of the whole plant during the peak shaving period, and increase the peak shaving benefit by 3 million yuan.

[0061] In terms of social benefits, the above-mentioned heat supply control system can improve the heat supply capacity of the unit, reduce the coal consumption of the unit, replace the small boiler in the heat supply area, and reduce the emission of pollutants; enhance the deep peak regulation capacity, and improve the accommodation capacity of clean energy such as wind power. At present, heat supply and flexible transformation have been carried out in Northeast China, North China, Northwest China and other regions to adapt to the deep peak regulation service compensation mechanism of the local power grid. The research and results of the embodiments of the present application have promotional significance for similar work of each power generation enterprise.

[0062] The online collaborative heat supply control system of the collaborative network system according to the embodiments of the present application can set up a collaborative network system composed of multiple heat supply units, take environmental temperature change and power grid load change as control criteria, form an optimal combination scheme in multiple heat supply modes and peak regulation modes, and enable each heat supply unit to realize efficient operation in multiple mode deep peak regulation collaboration, thereby realizing intelligent operation in multiple heat supply forms and achieving the goal of energy saving and efficiency improvement. Thus, the problems in the related art that the peak regulation means only focuses on deep peak regulation and weakens the peak capacity of the unit, that there is a lack of online collaborative scheme after multi-mode transformation, and that the flexible transformation of the heat supply unit needs to take into account deep peak regulation and high rated load output capacity, and that it is difficult for a power generation enterprise to maximize economic benefits through collaboration are solved.

[0063] Secondly, refer to the attached Figure 5 The online collaborative heat supply control method of the collaborative network system according to the embodiments of the present application is described.

[0064] Figure 5 is a flowchart of the online collaborative heat supply control method of the collaborative network system according to the embodiments of the present application.

[0065] As Figure 5 shown, the collaborative network system is composed of multiple heat supply units, wherein the multiple heat supply units at least include a group of high-low pressure bypass heat supply transformed pure condensing units, a group of high back pressure heat supply transformed pure condensing units, a group of low pressure cylinder zero output heat supply transformed extraction condensing units, or a group of extraction heat supply transformed extraction condensing units. The heat supply ends of each unit are respectively connected to the public heat supply pipeline through the heat exchanger, the power supply ends of each unit are respectively connected to the public power supply pipeline network through the power quality monitor, and the power supply ends of each unit are further connected to at least one group of electric boilers and one group of all-vanadium redox flow batteries. The online collaborative heat supply control method of the collaborative network system includes the following steps.

[0066] In step S501, heat supply data of each unit is collected, and environmental temperature change data and power grid load change data of the current environment are collected.

[0067] In step S502, based on the heat supply data, the environmental temperature change data and the power grid load change data, the actual state of each unit is identified.

[0068] In step S503, the optimal combination scheme in the multiple heating modes and peak regulation modes is generated according to the actual state of each unit, an online collaborative heating control instruction is generated, and each unit is controlled to work.

[0069] It should be noted that the foregoing description of the embodiment of the online collaborative heating control system of the collaborative network system also applies to the online collaborative heating control method of the collaborative network system of the embodiment, which will not be described here.

[0070] The online collaborative heating control method of the collaborative network system according to the embodiment of the present application can set a collaborative network system composed of multiple heating units, take the change of ambient temperature and the change of power grid load as the control reference, form an optimal combination scheme in multiple heating modes and peak regulation modes, and enable each heating unit to realize efficient operation under the collaborative deep peak regulation of multiple modes, thereby realizing intelligent operation under multiple heating forms and achieving the goal of energy saving and efficiency increasing. Thus, the problems in the related art that the peak regulation means only focuses on deep peak regulation and weakens the peak capacity of the unit, that there is a lack of online collaborative scheme after multiple mode transformation, and that the flexible transformation of the heating unit needs to take into account the deep peak regulation and the high rated load output capacity, and that the power generation enterprise is difficult to achieve maximum economic benefit through collaboration are solved.

[0071] Figure 6 The structure schematic diagram of the electronic device provided by the embodiment of the present application. The electronic device can include: The memory 601, the processor 602, and the computer program stored in the memory 601 and executable on the processor 602.

[0072] The processor 602 implements the online collaborative heating control method of the collaborative network system provided in the above embodiments when executing the program.

[0073] Further, the electronic device further includes: The communication interface 603 is used for communication between the memory 601 and the processor 602.

[0074] The memory 601 is used to store the computer program executable on the processor 602.

[0075] The memory 601 can include a high-speed RAM memory, and can also include a non-volatile memory, such as at least one disk memory.

[0076] If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 can be connected with each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 6 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0077] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can complete communication between each other through an internal interface.

[0078] The processor 602 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0079] The embodiments of the present application also provide a non-volatile computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the online cooperative heat supply control method of the cooperative network system as above.

[0080] The embodiments of the present application also provide a computer program product, which stores a computer program, and the program is executed by a processor to implement the online cooperative heat supply control method of the cooperative network system as above.

[0081] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0082] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features of the application, and do not imply or connote relative importance or a specific order of precedence. Thus, features defined with "first", "second", etc. can include at least one of the features, either explicitly or implicitly.

[0083] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments of modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes or methods described in flow charts or otherwise described herein are not necessarily performed in the order shown or discussed, including, for example, performing or depending from other operations or stages, in parallel, in reverse order, or in other orders.

[0084] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions, and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For purposes of this specification, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be a product of the manufacturing and / or processing. The computer-readable medium can include, but is not limited to, the following: an electronic connection (an electronic device with one or N wires), a portable computer diskette (a magnetic device), a RAM (random access memory), a ROM (read-only memory), an EPROM (erasable programmable ROM) or a Flash memory, an optical fiber, and a portable CD ROM. In addition, the computer-readable medium can even be paper or another suitable medium upon which the program can be printed, because the program can be electronically captured, via the optically scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and stored in the computer memory.

[0085] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware and in another embodiment, the hardware can be implemented using any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions on data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0086] Those of skill in the art would understand that the steps carried out in the above-mentioned embodiments can be implemented by programs instructing relevant hardware to complete all or part of the steps, and the programs can be stored in a computer-readable storage medium. When the programs are executed, they include one or a combination of the steps of the method embodiments.

[0087] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0088] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. An online coordinated heating control system of a coordinated network system, characterized in that, The synergic network system is composed of multiple heat supply units, wherein the multiple heat supply units at least include a group of high-low pressure bypass heat supply modified pure condensing units, a group of high back pressure heat supply modified pure condensing units, a group of low pressure cylinder zero output heat supply modified extraction condensing units or a group of extraction steam heat supply modified extraction condensing units, the heat supply ends of each unit are connected to a public heat supply pipeline through a heat exchanger, the power supply ends of each unit are connected to a public power supply network through an electric energy quality monitor, and the power supply ends of each unit are further connected to at least a group of electric boilers and a group of all-vanadium redox flow batteries, wherein the system comprises: a collection device for collecting heat supply data of each unit, collecting environmental temperature change data of the current environment and power grid load change data of the synergic network system; a control device for identifying the actual state of each unit based on the heat supply data, the environmental temperature change data and the power grid load change data, and generating an optimal combination scheme in multiple heat supply modes and peak shaving modes according to the actual state of each unit, generating an online synergic heat supply control instruction and controlling the operation of each unit.

2. The system of claim 1, wherein, A microcomputer is embedded in the collection device, wherein the microcomputer is connected to a clock circuit, a storage circuit, an LCD display screen, a wireless communication circuit, a USB interface, a communication circuit, a keyboard, a lithium battery and a sampling processing circuit, the wireless communication circuit is in communication connection with a pipe network temperature transmitter, an out-pipe network temperature transmitter and an environmental network temperature transmitter of the synergic network system to receive the environmental temperature change data.

3. The system of claim 2, wherein, An antenna is arranged on the shell of the collection device.

4. The system of claim 1, wherein, The collection device comprises: an electric energy quality monitor for collecting power grid frequency and voltage fluctuation parameters of the corresponding unit to generate the power grid load change data.

5. The system of claim 4, wherein, The electric energy quality monitor is built-in with a digital signal processor and a high-speed multi-channel analog-to-digital converter synchronous sampling module, and adopts a double digital signal processor structure for data processing and display storage.

6. The system of claim 4, wherein, The control device is specifically used for matching whether each unit works in a heat supply state, a power generation state or a mixed state of heat supply and power generation, so as to form the optimal combination scheme in multiple heat supply modes and peak shaving modes.

7. An online collaborative heating control method of a collaborative network system, characterized by, The synergic network system is composed of multiple heat supply units, wherein the multiple heat supply units at least include a group of high-low pressure bypass heat supply modified pure condensing units, a group of high back pressure heat supply modified pure condensing units, a group of low pressure cylinder zero output heat supply modified extraction condensing units or a group of extraction steam heat supply modified extraction condensing units, the heat supply ends of each unit are connected to a public heat supply pipeline through a heat exchanger, the power supply ends of each unit are connected to a public power supply network through an electric energy quality monitor, and the power supply ends of each unit are further connected to at least a group of electric boilers and a group of all-vanadium redox flow batteries, wherein the method comprises the following steps: collecting heat supply data of each unit, collecting environmental temperature change data of the current environment and power grid load change data of the synergic network system; identifying the actual state of each unit based on the heat supply data, the environmental temperature change data and the power grid load change data; According to the actual state of each unit, an optimal combination scheme is generated in multiple heating modes and peak regulation modes, and an online collaborative heating control instruction is generated to control the operation of each unit.

8. An electronic device, comprising: The application relates to a computer program product, comprising: A memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the online collaborative heating control method of the collaborative network system as claimed in claim 7.

9. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the online collaborative heating control method of the collaborative network system as claimed in claim 7.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed to implement the online collaborative heating control method of the collaborative network system as claimed in claim 7.

Images