Multi-energy collaborative optimization energy controller

Abstract

The invention discloses a multi-energy collaborative optimization energy controller, which comprises a data optimization processing unit, a synchronous data acquisition unit, controlled electromechanical equipment and an intelligent execution unit, and is characterized in that the data optimization processing unit is used for carrying out further calculation, analysis, processing and the like on acquired data and forwarding and storing effective data; the synchronous data acquisition unit is used for transmitting the numerical value of the measured physical quantity to the data optimization processing unit in a communication mode; according to the system, data of multi-energy components such as cold, heat, electricity and steam can be collected and then analyzed and processed, so that the optimal refrigeration power, heating power and power generation power of each energy station at each moment are obtained, integrated optimization operation with the minimum comprehensive energy consumption, the highest total energy efficiency or the minimum total cost of the multiple energy stations is achieved, an optimal scheme is given, and the energy efficiency of the multiple energy stations is improved. Therefore, the energy efficiency ratio of the industrial park is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optimized energy control, and in particular to a multi-energy collaborative optimized energy controller. Background Art

[0002] In the existing industrial park energy system, the control and operation of each energy source (electricity / gas / cold / heat / transportation) are carried out independently. In fact, terminal energy is manifested in various forms, and there is a close coupling relationship between various energy sources. The integration of various types of production and use of energy is manifested as an integrated energy system. Compared with a single energy supply system, the integrated energy system can effectively improve the adequacy and safety of energy supply, improve the utilization efficiency of system energy, and promote the use of renewable energy.

[0003] However, due to the differences in the physical properties of various energy sources, there are various requirements on the time scale of collection, monitoring and control of various energy sources within the integrated energy system, which makes it impossible to meet the requirements of the integrated energy system for coordinated control of various energy sources. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-energy collaborative optimization energy controller to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a multi-energy collaborative optimization energy controller, comprising:

[0006] A data optimization processing unit, which is used to further calculate, analyze and process the collected data, and forward and store the valid data;

[0007] A synchronous data acquisition unit, the synchronous data acquisition unit is used to transmit the numerical value of the measured physical quantity to the data optimization processing unit in a communication manner;

[0008] Controlled electromechanical equipment;

[0009] An intelligent execution unit, the intelligent execution unit is used to receive the action instruction of the synchronous data acquisition unit and adjust the corresponding device action, and transmit the state of the controlled electromechanical device to the synchronous data acquisition unit in a communication manner;

[0010] Among them, the output end of the synchronous data acquisition unit is electrically connected to the input end of the data optimization processing unit, and the data optimization processing unit, the controlled electromechanical equipment and the intelligent execution unit are connected to the switch through a wireless router to form a decentralized and flat peer-to-peer network.

[0011] Preferably, the data optimization processing unit includes an optimization algorithm module and a data processing module.

[0012] Preferably, the synchronous data acquisition unit includes a chiller intelligent node, a heat pump intelligent node, a generator set intelligent node and a power grid-connected intelligent node.

[0013] Preferably, the controlled electromechanical equipment includes one or more of a compression chiller, an absorption chiller, a heat pump, a boiler, a generator, a photovoltaic power generation device, a wind power generation device, a cold and heat storage device, and an electrical storage device.

[0014] Preferably, the intelligent execution unit includes a valve opening actuator, which is used to respond to the valve opening instruction and send out valve status information, and participate in the adjustment of control parameters and the switching of operating conditions.

[0015] Preferably, it also includes:

[0016] A data encryption module, which is used to encrypt and protect the data in the data optimization processing unit;

[0017] Wherein, the data encryption module is electrically connected to the data optimization processing unit.

[0018] Preferably, it also includes:

[0019] Data storage module;

[0020] Wherein, the data storage module is electrically connected to the data optimization processing unit.

[0021] Preferably, it also includes:

[0022] Wireless communication module;

[0023] PC terminal;

[0024] Wherein, the data optimization processing unit is wirelessly connected to the PC terminal via a wireless communication module.

[0025] Preferably, the PC terminal includes a desktop computer, a laptop computer, a tablet computer or a smart phone.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The present invention can collect data on multi-energy components such as cold, heat, electricity, and steam, and analyze and process the data after collection to obtain the optimal cooling power, heating power, and power generation power of each energy station at each moment, so as to achieve integrated optimization operation with minimum comprehensive energy consumption, maximum total energy efficiency, or minimum total cost for multiple energy stations, and provide the optimal solution, thereby improving the energy efficiency ratio of the industrial park. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is the overall system framework diagram of the present invention;

[0029] Figure 2 This is a framework diagram of the synchronous data acquisition unit of the present invention.

[0030] In the figure: 10-data optimization processing unit; 11-optimization algorithm module; 12-data processing module; 20-synchronous data acquisition unit; 21-water supply temperature sensor; 22-water supply flow sensor; 23-supply and return water pressure difference sensor; 24-cold / heat / electricity storage sensor; 30-controlled electromechanical equipment; 40-intelligent execution unit; 50-data encryption module; 60-data storage module; 70-wireless communication module; 80-PC terminal. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1:

[0033] See also Figure 1-2 The present invention provides a technical solution: a multi-energy collaborative optimization energy controller, including a data optimization processing unit 10, a synchronous data acquisition unit 20, a controlled electromechanical device 30 and an intelligent execution unit 40.

[0034] Furthermore, the data optimization processing unit 10 is used to perform further calculation, analysis and processing on the collected data, and forward and store the valid data.

[0035] Furthermore, the synchronous data acquisition unit 20 is used to transmit the numerical value of the measured physical quantity to the data optimization processing unit 10 in a communication manner.

[0036] Furthermore, the intelligent execution unit 40 is used to receive the action instruction of the synchronous data acquisition unit 20 and adjust the corresponding device action, and transmit the state of the controlled electromechanical device 30 to the synchronous data acquisition unit 20 in a communication manner.

[0037] Among them, the output end of the synchronous data acquisition unit 20 is electrically connected to the input end of the data optimization processing unit 10, and the data optimization processing unit 10, the controlled electromechanical equipment 30 and the intelligent execution unit 40 are connected to the switch through a wireless router to form a decentralized and flat peer-to-peer network.

[0038] The data optimization processing unit 10 includes an optimization algorithm module 11 and a data processing module 12 .

[0039] The synchronous data acquisition unit 20 includes a chiller intelligent node 21 , a heat pump intelligent node 22 , a generator intelligent node 23 and a power grid-connected intelligent node 24 .

[0040] In this embodiment, the chiller intelligent node 21 is connected to the chiller local controller via a 485 bus, and is specifically used to read the operating parameters of the chiller.

[0041] In this embodiment, the heat pump intelligent node 22 is connected to the heat pump local controller via a 485 bus, and is specifically used to read the operating parameters of the heat pump.

[0042] In this embodiment, the generator set intelligent node 23 is connected to the generator set local controller via a 485 bus, and is specifically used to read the operating parameters of the generator set.

[0043] In this embodiment, the power grid-connected intelligent node 24 is connected to the grid-connected controller via a 485 bus, and is specifically used to read the operating parameters of the power.

[0044] Among them, the controlled electromechanical equipment 30 includes one or more of a compression chiller, an absorption chiller, a heat pump, a boiler, a generator, a photovoltaic power generation device, a wind power generation device, a cold and heat storage device and an electrical storage device.

[0045] The intelligent execution unit 40 includes a valve opening actuator, which is used to respond to the valve opening instruction and send out valve status information, and participate in the adjustment of control parameters and the switching of operating conditions.

[0046] Among them, it also includes a data encryption module 50.

[0047] Furthermore, the data encryption module 50 is used to implement encryption protection for the data in the data optimization processing unit 10 to avoid data theft and ensure the security of the system.

[0048] The data encryption module 50 is electrically connected to the data optimization processing unit 10 .

[0049] The data storage module 60 is also included.

[0050] Furthermore, the data storage module 60 is used to store valid data.

[0051] The data storage module 60 is electrically connected to the data optimization processing unit 10 .

[0052] It also includes a wireless communication module 60 and a PC terminal 70 .

[0053] Furthermore, it is used to realize status checking and operation parameter setting of the entire collaborative optimization system.

[0054] The data optimization processing unit 10 is connected to the PC terminal 70 by wireless communication via the wireless communication module 60 .

[0055] The PC terminal 70 includes a desktop computer, a laptop computer, a tablet computer or a smart phone.

[0056] In summary, the present invention can collect data on multiple energy components such as cold, heat, electricity, and steam, and perform analysis and processing after collection to obtain the optimal cooling power, heating power, and power generation power of each energy station at each moment, so as to achieve integrated optimization operation of multiple energy stations with minimum comprehensive energy consumption, maximum total energy efficiency, or minimum total cost, and provide the optimal solution, thereby improving the energy efficiency ratio of the industrial park.

[0057] Embodiment 2:

[0058] See also Figure 1-2 The present invention provides a technical solution: a multi-energy collaborative optimization energy controller, including a data optimization processing unit 10, a synchronous data acquisition unit 20, a controlled electromechanical device 30 and an intelligent execution unit 40.

[0059] Furthermore, the data optimization processing unit 10 is used to perform further calculation, analysis and processing on the collected data, and forward and store the valid data.

[0060] Furthermore, the synchronous data acquisition unit 20 is used to transmit the numerical value of the measured physical quantity to the data optimization processing unit 10 in a communication manner.

[0061] Furthermore, the intelligent execution unit 40 is used to receive the action instruction of the synchronous data acquisition unit 20 and adjust the corresponding device action, and transmit the state of the controlled electromechanical device 30 to the synchronous data acquisition unit 20 in a communication manner.

[0062] Among them, the output end of the synchronous data acquisition unit 20 is electrically connected to the input end of the data optimization processing unit 10, and the data optimization processing unit 10, the controlled electromechanical equipment 30 and the intelligent execution unit 40 are connected to the switch through a wireless router to form a decentralized and flat peer-to-peer network.

[0063] The data optimization processing unit 10 includes an optimization algorithm module 11 and a data processing module 12 .

[0064] The synchronous data acquisition unit 20 includes a chiller intelligent node 21 , a heat pump intelligent node 22 , a generator intelligent node 23 and a power grid-connected intelligent node 24 .

[0065] In this embodiment, the chiller intelligent node 21 is connected to the chiller local controller via a 485 bus, and is specifically used to read the operating parameters of the chiller.

[0066] In this embodiment, the heat pump intelligent node 22 is connected to the heat pump local controller via a 485 bus, and is specifically used to read the operating parameters of the heat pump.

[0067] In this embodiment, the generator set intelligent node 23 is connected to the generator set local controller via a 485 bus, and is specifically used to read the operating parameters of the generator set.

[0068] In this embodiment, the power grid-connected intelligent node 24 is connected to the grid-connected controller via a 485 bus, and is specifically used to read the operating parameters of the power.

[0069] Among them, the controlled electromechanical equipment 30 includes one or more of a compression chiller, an absorption chiller, a heat pump, a boiler, a generator, a photovoltaic power generation device, a wind power generation device, a cold and heat storage device and an electrical storage device.

[0070] The intelligent execution unit 40 includes a valve opening actuator, which is used to respond to the valve opening instruction and send out valve status information, and participate in the adjustment of control parameters and the switching of operating conditions.

[0071] Working principle: After the system is started, each intelligent node is addressed through a wireless router, automatically assigned an Ethernet address, and automatically forms an information network of the control system; after the networking is completed, according to the default initialization parameters of each intelligent node, the corresponding equipment is started according to the built-in startup sequence, and the equipment output is adjusted to meet the requirements of the initial setting parameters. Each optimization control time period, such as every hour, initiates the optimization control calculation. Each intelligent node uses distributed computing methods to solve the optimization problem and determine the optimal air-conditioning hot and cold water supply temperature and flow, water pump speed, cooling tower fan speed, power generation power, municipal power grid power / sales power and other optimal operating parameters, and pass these optimal operating parameters to the corresponding equipment, adjust the equipment output, meet the requirements of the optimal operating parameters, and improve the energy efficiency of the industrial park.

[0072] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0073] The above description is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. Multi-energy collaborative optimization energy controller, characterized by: include: A data optimization processing unit (10), the data optimization processing unit (10) is used to further calculate, analyze and process the collected data, and forward and store valid data; A synchronous data acquisition unit (20), the synchronous data acquisition unit (20) being used to transmit the numerical value of the measured physical quantity to the data optimization processing unit (10) in a communication manner; Controlled electromechanical equipment (30); An intelligent execution unit (40), the intelligent execution unit (40) being used to receive an action instruction of the synchronous data acquisition unit (20) and adjust the action of a corresponding device, and transmit the state of the controlled electromechanical device (30) to the synchronous data acquisition unit (20) in a communication manner; The output end of the synchronous data acquisition unit (20) is electrically connected to the input end of the data optimization processing unit (10), and the data optimization processing unit (10), the controlled electromechanical device (30) and the intelligent execution unit (40) are connected to a switch via a wireless router to form a centerless and flat peer-to-peer network.

2. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: The data optimization processing unit (10) comprises an optimization algorithm module (11) and a data processing module (12).

3. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: The synchronous data acquisition unit (20) comprises a chiller intelligent node (21), a heat pump intelligent node (22), a generator intelligent node (23) and a power grid-connected intelligent node (24).

4. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: The controlled electromechanical equipment (30) includes one or more of a compression chiller, an absorption chiller, a heat pump, a boiler, a generator, a photovoltaic power generation device, a wind power generation device, a cold and heat storage device, and an electric storage device.

5. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: The intelligent execution unit (40) comprises a valve opening actuator, which is used to respond to valve opening instructions and send valve status information, and participate in the adjustment of control parameters and the switching of operating conditions.

6. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: Also includes: A data encryption module (50), the data encryption module (50) being used to implement encryption protection of data in the data optimization processing unit (10); Wherein, the data encryption module (50) is electrically connected to the data optimization processing unit (10).

7. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: Also includes: Data storage module (60); Wherein, the data storage module (60) is electrically connected to the data optimization processing unit (10).

8. The multi-energy collaborative optimization energy controller according to claim 1 is characterized in that: Also includes: Wireless communication module (60); PC terminal (70); The data optimization processing unit (10) is connected to the PC terminal (70) by wireless communication via the wireless communication module (60).

9. The multi-energy collaborative optimization energy controller according to claim 8 is characterized in that: The PC terminal (70) includes a desktop computer, a laptop computer, a tablet computer or a smart phone.

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