CN115789957A

CN115789957A - Energy supply regulation and control method, device, equipment and storage medium

Info

Publication number: CN115789957A
Application number: CN202211485690.5A
Authority: CN
Inventors: 陈云菲; 黄杰; 苏阳
Original assignee: Sunshine Hui Carbon Technology Co ltd
Current assignee: Sunshine Hui Carbon Technology Co ltd
Priority date: 2022-11-24
Filing date: 2022-11-24
Publication date: 2023-03-14

Abstract

The invention discloses an energy supply regulation and control method, device, equipment and storage medium. The method comprises the following steps: supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy, and acquiring the current energy supply parameter information of the energy supply network; determining a node to be regulated and controlled according to preset energy supply regulation conditions and temperature information in current energy supply parameter information; extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determining optimized control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; and regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters. According to the technical scheme of the embodiment of the invention, the targeted adjustment of different parts in the energy supply network is realized, the regulation efficiency is improved, the dynamic balance of the energy supply network and the high equipment load rate operation are ensured, and the energy conservation and emission reduction are realized on the basis of meeting the user requirements.

Description

Energy supply regulation and control method, device, equipment and storage medium

Technical Field

The invention relates to the technical field of energy power, in particular to an energy supply regulation and control method, device, equipment and storage medium.

Background

The building energy consumption is mainly various energy sources consumed for maintaining normal operation of the building, such as energy sources consumed under the conditions of heating, cooling, ventilation, illumination and the like of the building. In a large public building, the main energy consumption is the energy consumption for supplying heat and cold, which accounts for about two thirds of the total energy consumption. Therefore, energy-saving operation is a problem that important attention needs to be paid to in the application process of an energy supply system, but the problems of insufficient operation management, low equipment load rate, low system efficiency and the like generally exist in the operation process of the existing building energy supply system.

In order to improve the utilization efficiency of the energy supply system, the real-time load is often inferred by the effect after energy supply in the existing energy supply system, and then the operation parameters are changed by a proportional-Integral-Derivative (PID) controller, so as to realize the matching of the energy supply and the real-time load demand of the building.

However, the control has hysteresis, which cannot balance the energy supply of the energy supply system in real time, and increases the uncertainty of the energy consumption of the equipment, which is not favorable for energy distribution and control. In addition, in the existing regulation and control of an energy supply system, the energy supply condition of the system is often regulated depending on the experience of operation and maintenance personnel, and the system parameters are difficult to be regulated to the optimal values efficiently and accurately.

Disclosure of Invention

The invention provides an energy supply regulation and control method, device, equipment and storage medium, which realize the targeted regulation of different parts in an energy supply network, improve the regulation and control efficiency, ensure the dynamic balance of the energy supply network and the high equipment load rate operation, and realize energy conservation and emission reduction on the basis of meeting the user requirements.

In a first aspect, an embodiment of the present invention provides an energy supply regulation and control method, where the method includes:

supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy, and acquiring the current energy supply parameter information of the energy supply network; the energy supply network at least comprises an energy supply source, at least two nodes and at least one pipe section;

determining a node to be regulated and controlled according to preset energy supply regulation conditions and temperature information in current energy supply parameter information;

extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determining optimized control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; optimizing the control parameter to be at least one of target operation frequency and target valve opening;

and regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters.

In a second aspect, an embodiment of the present invention further provides an energy supply regulation and control device, where the energy supply regulation and control device includes:

the parameter acquisition module is used for supplying energy to the corresponding energy supply network according to a predetermined energy supply strategy and acquiring the current energy supply parameter information of the energy supply network; the energy supply network at least comprises an energy supply source, at least two nodes and at least one pipe section;

the node determining module is used for determining a node to be regulated according to preset energy supply regulating conditions and temperature information in the current energy supply parameter information;

the optimization parameter determining module is used for extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information and determining optimization control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; optimizing the control parameter to be at least one of target operation frequency and target valve opening;

and the node regulating and controlling module is used for regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters.

In a third aspect, an embodiment of the present invention further provides an energy supply regulation and control device, where the energy supply regulation and control device includes:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor such that the at least one processor is capable of implementing the energy supply regulation method of any of the embodiments of the present invention.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are used, when executed, to implement the energy supply regulation and control method according to any embodiment of the present invention.

According to the energy supply regulation and control method, the energy supply regulation and control device, the energy supply equipment and the storage medium, the energy supply network is supplied according to the predetermined energy supply strategy, the feed-forward regulation of the energy supply network is realized, the negative influence of time lag is eliminated, the equipment is prevented from being in a low-load-rate operation state, and the energy supply according to the requirement is realized; to each in the energy supply network treating the regulation and control node, adjust respectively that each treats the variable frequency water pump operating frequency or the pipeline valve aperture of regulation and control node waits for the regulation and control energy supply parameter, realizes the negative feedback regulation to the energy supply network, has guaranteed the hydraulic balance among the actual operation process, has reduced the pipe network heat loss, promotes the energy supply effect, realizes the dynamic balance that supplies the ability. The front feedback regulation is combined with the negative feedback regulation, so that the energy supply regulation efficiency is effectively improved, the dynamic balance of an energy supply network and the high equipment load rate operation are guaranteed, and the energy conservation and emission reduction are realized on the basis of meeting the user requirements.

It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

Fig. 1 is a flowchart of a method for regulating energy supply according to a first embodiment of the present invention;

FIG. 2 is a flow chart of a method for regulating power supply according to a second embodiment of the present invention;

FIG. 3 is a flowchart illustrating an energy supply strategy for determining an energy supply network according to an output short-term energy supply prediction result in the second embodiment of the present invention;

FIG. 4 is a flowchart illustrating a method for training a power supply load prediction model according to a second embodiment of the present invention;

FIG. 5 is a schematic view of a circular pipe network according to a second embodiment of the present invention;

FIG. 6 is a schematic diagram of a heat supply network topology according to a second embodiment of the present invention;

fig. 7 is a schematic structural diagram of an energy supply regulation and control device in a third embodiment of the present invention;

fig. 8 is a schematic structural diagram of an energy supply regulation and control device in a fourth embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of an energy supply regulation and control method according to an embodiment of the present invention, where the embodiment of the present invention is applicable to a situation where an energy supply network is abnormally located and an abnormal energy supply node is dynamically regulated and controlled, the method may be executed by an energy supply regulation and control device, the energy supply regulation and control device may be implemented by software and/or hardware, the energy supply regulation and control device may be configured on an energy supply regulation and control device, and the energy supply regulation and control device may be a notebook, a desktop, an intelligent tablet, and the like.

In the embodiment of the invention, in order to realize energy supply regulation and control of the energy supply network, corresponding parameter information in the energy supply network needs to be acquired in advance, and the parameter information can be acquired by using the dynamic acquisition device to construct an energy supply regulation and control system. Specifically, the system can comprise an equipment layer, a dynamic collector, an energy controller and a visualization platform. The system covers the functions of visual service, scheduling service, monitoring service and data service, and realizes intelligent automatic adjustment and user friendliness of the energy supply regulation and control system.

Wherein, hardware equipment still includes calorimeter (cold and hot double-purpose), temperature sensor, pressure sensor, small-size meteorological station, indoor personnel counter, smart electric meter, valve, water pump, alarm except that the energy supply, energy supply terminal equipment for the measurement of indoor outer environment and energy supply parameter.

The dynamic collector can have functions of data collection, protocol conversion, data storage and processing, and uploading to the energy controller and the visualization platform.

The energy controller can be a control device which receives data uploaded by the dynamic collector, analyzes and regulates according to an optimal value algorithm, and issues a control instruction to the actuator, and the actuator can be used for issuing a specific instruction to perform optimal parameter adjustment on equipment such as a system invention, a water pump and an energy supply source.

Wherein, visual platform can show the topology that energy supply regulation and control system corresponds to receive the data display that the collector transmitted in real time in system topology, can receive the optimal value data of energy controller transmission simultaneously, the system operation parameter and the optimal operation parameter of present system of demonstration on the platform, and water conservancy is out of control, will operate the real-time visual presentation of regulation and control process on the platform, make the regulation and control personnel can be more clear understand the energy supply condition of energy supply network, the follow-up energy supply of being convenient for is regulated and controlled.

As shown in fig. 1, a method for regulating and controlling energy supply provided by the first embodiment of the present invention specifically includes the following steps:

s101, supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy, and acquiring current energy supply parameter information of the energy supply network.

Wherein, the energy supply network includes the energy supply source at least, two at least nodes and at least one pipeline section.

In the present embodiment, the energy supply strategy may be specifically understood as an energy supply strategy determined according to historical energy supply conditions to supply energy to the energy supply network so that the temperature of each node in the energy supply network can meet the demand. The energy supply network may be understood to be a mesh structure for communicating distributed energy transmission based on energy supply, nodes and pipe segments. The current energy supply parameter information may be specifically understood as parameter information that affects the energy supply situation in the energy supply network at the present time, for example, in the energy supply network for cooling and heating, the current energy supply parameter information may include parameter information such as current temperature information, current pressure information, current load data, current environmental parameters, and current personnel data of the energy supply source, nodes, and pipe sections in the energy supply network.

In the present exemplary embodiment, an energy supply source is understood to mean in particular all sources of the transmitted energy in the energy supply network. The energy supply may be cooling, heating, ventilation, or lighting, which is not limited in the embodiments of the present invention. A node is understood to be in particular an energy input or output point in an energy supply network, into which energy supply and energy consuming devices can be connected via the node for energy supply and retrieval. A pipe section is to be understood as meaning in particular a device for energy transmission in an energy supply network, which can be used for the transmission of energy in the pipe section by means of pressure increase or the own weight of the energy source. It should be noted that there is a pipe segment between every two adjacent nodes to connect the two nodes, and there are at least two pipe segment connections between every three nodes.

Specifically, when the energy supply network has the energy supply demand, can predetermine the energy supply strategy of energy supply network according to historical data to energy supply network is supplied energy according to the energy supply strategy of determining. After the energy supply network enters an energy supply state, energy supply parameter information of each node and each pipe section in the energy supply network in the energy supply process is acquired in real time, and the energy supply parameter information corresponding to the current moment is determined as the current energy supply parameter information.

For example, energy supply may be performed on an energy supply network for cooling and heating according to a predetermined cooling and heating strategy, and parameter information such as current temperature information, current pressure information, current load data, current environmental parameters, and current personnel data of the energy supply network may be acquired as current energy supply parameter information.

And S102, determining a node to be regulated according to preset energy supply regulation conditions and temperature information in current energy supply parameter information.

In the present embodiment, the preset energy supply adjustment condition may be specifically understood as a condition which is preset according to actual conditions and is used for determining whether the energy supply network receiving energy supply achieves the expected effect, namely whether the adjustment is needed. The temperature information can be understood as information in the current energy supply parameter information, which is used to characterize the temperature conditions in the energy supply source, the nodes and the pipe sections in the energy supply network. The node to be regulated and controlled can be specifically understood as a node in an energy supply network, wherein the node temperature information does not reach the expected energy supply effect, and the energy supply effect of the node needs to be regulated and controlled.

Specifically, the temperature information of the energy supply source, each node and each pipe section in the energy supply network at the current moment is determined from the current energy supply parameter information, each temperature information is compared with a preset energy supply condition, if the temperature information meeting the preset energy supply regulation condition exists, the node corresponding to the temperature information can be considered not to achieve the expected energy supply effect, and at the moment, the node is determined as the node to be regulated and controlled which needs to be regulated.

S103, extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determining optimized control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled.

Wherein the optimization control parameter may be at least one of a target operating frequency and a target valve opening.

In this embodiment, the energy supply parameters to be regulated can be specifically understood as parameters collected by the dynamic collector and indicating the energy supply state in the nodes to be regulated. The optimization control parameter can be understood as a target parameter which is based on each node to be regulated in the energy supply network and enables the node to achieve the expected energy supply effect. The target operation frequency can be specifically understood as the working frequency of the variable frequency water pump for realizing the expected energy supply effect. The target valve opening is specifically understood to be that, in order to achieve the expected energy supply effect, the valve opening of each pipe section in the energy supply network is opened, and the valve opening may be expressed in percentage, for example, the valve opening of the current pipe section is opened by half, which may be expressed as the valve opening of the current pipe section is 50%.

Specifically, based on each node to be regulated, parameter information corresponding to each node to be regulated in the current energy supply parameter information is determined, and the parameter information is determined as a parameter to be regulated. And substituting each energy supply parameter to be regulated and controlled into an equation corresponding to the energy supply parameter or a preset model according to the regulation requirement, calculating the parameter information of the current node to obtain a calculation result, and determining the calculation result as the optimized control parameter corresponding to the node to be regulated and controlled.

Optionally, the parameter to be regulated and controlled may be an operation frequency of the variable frequency water pump extracted based on the node to be regulated and controlled, and the currently extracted operation frequency may be substituted into an equation corresponding to the parameter, for example, the current operation frequency may be a rotation speed equation of the variable frequency water pump, a target operation frequency is determined according to a calculation result, and the target operation frequency is used as an optimized control parameter of the node to be regulated and controlled. The parameter to be regulated and controlled can also be the valve opening of a pipe section connected with one end of the node to be regulated and controlled, the valve opening of the pipe section extracted currently can be substituted into the hydraulic calculation model corresponding to the parameter, the target valve opening is determined according to the calculation result, and the target valve opening is used as the optimized control parameter of the node to be regulated and controlled. It should be noted that the optimization control parameters may include both the target operating frequency and the target valve opening, and are not limited to one.

And S104, regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters.

In this embodiment, the variable frequency water pump may be a water pump driven by a variable frequency motor, and the water flow rate may be adjusted by adjusting the rotation speed (operation frequency) to achieve the purpose of saving energy. A pipeline valve is understood to be a valve device which, depending on the degree of rotation of the valve, controls the flow or stoppage of the medium in the pipe section and regulates the flow, and can be, for example, a device for regulating the flow of water for each pipe section in the energy supply network.

Optionally, the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled are regulated and controlled according to the optimized control parameters, and the regulation and control can be realized by the following specific method:

adjusting the operating frequency of the variable-frequency water pump corresponding to the node to be regulated to be the target operating frequency in the optimized control parameters; and/or

And adjusting the opening degree of the pipeline valve corresponding to the node to be regulated to the target valve opening degree in the optimized control parameters.

Specifically, if the hardware device to be adjusted and controlled by the node to be adjusted and controlled is the variable frequency water pump, the target operation frequency which is expected to be reached by the variable frequency water pump corresponding to the node to be adjusted and controlled can be determined according to the optimized parameters, and the operation frequency of the variable frequency water pump is adjusted to the target operation frequency. If the hardware equipment of the node to be regulated and controlled, which needs to be correspondingly regulated, is a pipeline valve, the target valve opening degree which is expected to be reached by the node to be regulated and controlled corresponding to the pipeline valve can be determined according to the optimization parameters, and the valve opening degree of the pipeline valve is regulated to the target valve opening degree.

According to the technical scheme of the embodiment, the energy supply network is supplied with energy according to the predetermined energy supply strategy, the feed-forward regulation of the energy supply network is realized, the negative influence of time lag is eliminated, the equipment is prevented from being in a low load rate running state, and the energy supply as required is realized; to each in the energy supply network treating the regulation and control node, adjust respectively that each treats the variable frequency water pump operating frequency or the pipeline valve aperture of regulation and control node waits for the regulation and control energy supply parameter, realizes the negative feedback regulation to the energy supply network, has guaranteed the hydraulic balance among the actual operation process, has reduced the pipe network heat loss, promotes the energy supply effect, realizes the dynamic balance that supplies the ability. The feed-forward regulation is combined with the negative feedback regulation, so that the energy supply regulation and control efficiency is effectively improved, the dynamic balance of an energy supply network and the high equipment load rate operation are guaranteed, and the energy conservation and emission reduction are realized on the basis of meeting the user requirements.

Example two

Fig. 2 is a flowchart of an energy supply regulation and control method provided in the second embodiment of the present invention, and the technical solution of the second embodiment of the present invention is further optimized based on the above optional technical solutions, and further specifies a determination manner and specific contents of a predetermined energy supply policy, and before supplying energy to a corresponding energy supply network, acquires predicted energy supply parameter information based on a data dynamic acquisition unit, and inputs the acquired predicted energy supply parameter information into a preset energy supply load prediction model, and determines an energy supply policy of the energy supply network according to a model output result, and dynamically regulates and controls the energy supply network. The energy supply strategy can be understood as an energy supply strategy adopting a feed-forward regulation mode.

Meanwhile, the embodiment of the invention also provides a training step of the energy supply load prediction model. The method comprises the steps that historical energy supply parameter information is collected based on a data dynamic collector, the collected parameter information is processed and screened and classified, part of classified parameter information is input into different energy supply load prediction models to be trained until a training ending condition is met, and finally adopted energy supply load prediction models suitable for the energy supply strategy are determined. Select different energy supply load prediction models at different moments and confirm the energy supply strategy, make the feedforward to the energy supply network adjust more accurately, the parameter of the required regulation and control of regulation and control node is confirmed to the difference in temperature information between different nodes to the while, adjust respectively and treat frequency conversion water pump operating frequency or the pipeline valve aperture of regulation and control node and wait for the regulation and control energy supply parameter, realize the negative feedback regulation to the energy supply network, hydraulic balance among the actual operation process has been guaranteed, the pipe network heat loss has been reduced, promote the energy supply effect, realize the dynamic balance who supplies the energy. The feed-forward regulation is combined with the negative feedback regulation, so that the energy supply regulation and control efficiency is effectively improved, the dynamic balance of an energy supply network and the high equipment load rate operation are guaranteed, and the energy conservation and emission reduction are realized on the basis of meeting the user requirements.

As shown in fig. 2, the energy supply regulation and control method provided by the second embodiment of the present invention specifically includes the following steps:

s201, obtaining the predicted energy supply parameter information corresponding to the energy supply network.

The energy supply parameter information at least comprises first historical load data, first historical environmental parameters, first historical personnel data and environmental forecast parameters.

In this embodiment, the predicted energy supply parameter information may be information that is collected by the dynamic collector and is used to predict the energy supply parameter of the next day. The first historical load data may be specifically understood as time-by-time energy supply load data in the energy supply network in a historical time period closest to the current time, or may be understood as energy which needs to be supplied to each node in a unit time to maintain the temperature or other parameters of each node in the energy supply network within a certain range. The first historical environmental parameter may be specifically understood as a parameter that affects an energy supply state in a recent historical time period from a current time point under a natural environment corresponding to each node and each pipe segment in the energy supply network, and may include, for example, temperature, humidity, solar radiation, and the like. The first historical personnel data can be specifically understood as parameter data of the number of personnel and personnel conditions existing in the corresponding node of the energy supply network in a historical time period closest to the current time. The environmental forecast parameters are specifically understood as environmental parameters for a desired prediction time, which are acquired by weather forecast or the like. It should be clear that the history time period closest to the current time may be history parameter information within a week before the current time, or history parameter information of other time lengths, which is not limited in this embodiment of the present invention.

Specifically, when energy needs to be supplied to the energy supply network, the energy supply condition of each node needs to be estimated for the energy supply source needed to be used in the energy supply process and the energy supply distribution of each node in the energy supply network in advance. The method comprises the steps of firstly, obtaining various historical data of the energy supply network in a historical time period before the current time and environment parameters of expected forecasting time, and determining first historical load data, first historical environment parameters and first historical personnel data in the obtained historical data and environment forecasting parameters for forecasting as corresponding forecasting energy supply parameter information of the energy supply network.

S202, inputting the predicted energy supply parameter information into a preset energy supply load prediction model, and determining an energy supply strategy of an energy supply network according to the output short-term energy supply prediction result.

In the present embodiment, the energy supply load prediction model may be specifically understood as a neural network model for predicting energy supply parameters in a future period of time according to the input energy supply parameter information. The short-term energy supply prediction result can be understood as a target prediction result obtained after calculation by an energy supply load prediction model based on short-term historical time, and the prediction result is a prediction result which can be theoretically consistent with a real occurrence situation.

Specifically, the predicted energy supply parameter information acquired in the short-term historical time corresponding to the energy supply network is used as a model input dimension to be substituted into a predetermined energy supply load prediction model, and the result output through model calculation is determined as a short-term energy supply prediction result.

Optionally, fig. 3 is a flowchart illustrating an example of determining an energy supply strategy of an energy supply network according to an output short-term energy supply prediction result according to a second embodiment of the present invention, as shown in fig. 3, specifically including the following steps:

s2021, determining energy supply demand of the energy supply network in different time periods according to the output short-term energy supply prediction result.

In the present embodiment, the energy supply demand is specifically understood to be the total amount of energy supplied by the energy supply network in order to reach the preset energy supply target in different time periods. The energy supply demands of the energy supply network in different time periods can be understood as time-sharing processing of the energy supply time, and after the total energy supply time is divided into a plurality of time periods, the heating amount or the cooling amount required by each time period is obtained. The length of each time period may be adjusted according to requirements, for example, the time period may be a time period such as one hour or one day, and the time period is not limited in this embodiment.

Specifically, because the number of people in the energy supply network is different at different time periods, the ambient temperature is different, the number of energy sources required to be supplied at different time periods is also different, and the energy supply coincidence prediction model adopts time-by-time historical load data during training, so that the short-term energy supply prediction result output by the energy supply load prediction model can also output time-by-time prediction coincidence data, and further the energy supply demand of the energy supply network at different time periods can be determined.

S2022, determining the number of the units operating in each time period according to the preset energy supply unit corresponding relation.

In this embodiment, the preset energy supply unit correspondence relationship may be specifically understood as a correspondence relationship between the maximum energy information that can be provided by each energy supply device in the energy supply unit and the total energy supply demand. The number of the units can be understood as the number of the energy supply sources required by the energy supply network for maintaining normal energy supply.

For example, if the energy demand in the current time period is the maximum energy supply that can be provided by 4 machines, it may be determined that the number of units operating in the current time period is at least 4, and in order to ensure the safety and the electricity consumption cost of the units, a threshold may be set for the energy supply of each machine, and the number of machines may be increased. For example, the safe energy supply of the machine may be set to 80% of the maximum energy supply of the machine itself, and at this time, in order to ensure that the energy supply demand in the current time period can be met, the number of running machines needs to be increased, that is, the number of running machines of the unit is 5.

S2023, determining the set of each time period and the corresponding number of the units to be operated as an energy supply strategy of the energy supply network.

Specifically, the number of the unit operation units corresponding to each time period is determined, an association relationship between the number of the unit operation units and the number of the unit operation units is generated, that is, each time period information corresponds to one unit operation unit number, and the set of the associated information is determined as an energy supply strategy of the energy supply network, that is, the number of the unit operation units which need to be started by the energy supply network in different time periods can be known when the energy supply strategy is determined.

In the embodiment, a power generation and energy storage plan is allocated based on a short-term prediction result of cold and heat loads, total energy supply time is divided into a plurality of time periods, a corresponding unit operation number is determined according to each time period to make an energy supply strategy, energy supply is performed on an energy supply target in the next day, an energy supply plan is determined by taking the lowest electricity consumption cost of carbon emission cost as an optimization target, the cold and heat source operation number and an operation schedule are adjusted according to the short-term prediction result of the cold and heat loads, feed-forward regulation of an energy supply network is realized, negative effects of time lag are eliminated, equipment is prevented from being in a low-load-rate operation state, energy supply on demand is realized, and energy conservation and emission reduction are realized on the basis of meeting user requirements.

Further, fig. 4 is a flowchart illustrating a method for training an energy supply load prediction model according to a second embodiment of the present invention, as shown in fig. 4, which may specifically include the following steps:

s301, historical energy supply parameter information corresponding to the energy supply network in the preset historical time is obtained.

Wherein, the historical energy supply parameter information at least comprises second historical load data, second historical environmental parameters and second historical personnel data.

In this embodiment, the historical energy supply parameter information may be specifically understood as energy supply parameter information for representing average energy supply requirements of the energy supply network within a preset historical time. The preset historical time may be specifically understood as a period of historical time of a preset time length before the current time, and it is to be understood that the length of the preset historical time should be longer than the time length corresponding to the preset energy supply parameter information. Optionally, the preset historical time may be a time one or two months before the current time, which is not limited in this embodiment of the present invention.

In this embodiment, the second historical load data may be specifically understood as time-by-time energy supply load data in the energy supply network within a preset historical time, and may also be understood as energy that needs to be supplied to each node within a unit time by maintaining the temperature or other parameters of each node in the energy supply network within a certain range. The second historical environmental data may be specifically understood as parameters that affect the energy supply state in the natural environment corresponding to each node and pipe segment in the energy supply network within a preset historical time. The second historical personal data may be specifically understood as parameter data of the number of persons and the personal condition existing inside the corresponding node of the energy supply network within a preset historical time.

Specifically, the energy supply load prediction model is trained, energy supply parameters can be collected in advance by the dynamic collector in real time within preset historical time, and collected parameter information is used as historical energy supply parameter information.

S302, preprocessing historical energy supply parameter information and screening main influence factors, determining target energy supply parameter information, and constructing a load prediction training sample set and a load prediction testing sample set according to the target energy supply parameter information.

The load prediction training sample set and the load prediction test sample set can comprise a real data set in the target energy supply parameter information and a calibration data set corresponding to the real data set, and the calibration data set is second historical load data in the calibrated real data set.

In this embodiment, the data preprocessing performed on the historical energy supply parameter information may include processing manners such as data cleaning, integration, specification, and transformation, and may be specifically understood as acquiring parameter data that is more accurate than the initially acquired historical energy supply parameter data. The main influence factors can include collected parameter information irrelevant to the training energy supply load prediction model and parameter information which is obviously wrong information and has larger numerical value difference with other collected parameter information. The target parameter information can be understood as parameter information which is not screened after the historical energy supply parameter information is preprocessed and screened and meets the standard of a training energy supply load prediction model.

In this embodiment, the load prediction training sample set may be specifically understood as a set of training objects determined according to real data, which are input into the energy-supplying load prediction model to train the energy-supplying load prediction model. The load forecasting test sample set may be specifically understood as a data sample set for verifying the performance of the finally selected energy supply load forecasting model. A real data set is to be understood in particular as a set of directly acquired target energy supply parameter information. The calibration data set may be understood in particular as a set of data calibrated to second historical load data in the real data set in order to expect data that can be output in the energy supply load prediction model.

Specifically, historical energy supply parameter information is preprocessed to remove obviously abnormal data, main influence factors of the preprocessed historical energy supply parameter information are screened, energy supply parameter information corresponding to the type with the larger influence on energy supply loads is determined as target energy supply parameter information, the target energy supply parameter information is directly used as a real data set, or the target energy supply parameter information is randomly extracted and then used as a real data set, second historical load data in the real data set are labeled to obtain a corresponding calibration data set, the real data set and the calibration data set are divided according to a preset proportion, and a corresponding load prediction training sample set and a load prediction testing sample set are obtained. Optionally, the corresponding screening modes of the main influence factors may include different screening modes such as pearson correlation analysis and principal component analysis, and the intersection of the main influence factors screened by the different screening modes is determined as the target energy supply parameter information. Optionally, when the load prediction training sample set and the load prediction testing sample set are determined, the first 90% of the determined real data set and the first 90% of the determined calibration data set may be determined as the load prediction training sample set, and the last 10% of the determined real data set may be determined as the load prediction testing sample set.

And S303, respectively inputting the load prediction training sample sets into a preset number of initial energy supply load prediction models of different types for training until a preset convergence condition is met to obtain a preset number of intermediate energy supply load prediction models.

In this embodiment, the initial energy supply load prediction model may be specifically understood as an untrained energy supply load prediction model. The preset convergence condition may be a preset condition for determining that the model has completed training, and exemplarily, the preset convergence condition may be that the output error of the model is smaller than a preset error threshold, the weight change of two iterations is smaller than a preset change threshold, the iteration number exceeds a preset number threshold, and the like. The intermediate energy supply load prediction model can be specifically understood as a model obtained after different types of initial energy supply load models are trained to converge.

For example, the initial energy supply load prediction model may adopt different types of models such as an XGBoost (iterative Gradient Boosting) model and an LMST (Long Short Term Memory) model. The load prediction training sample set data of 90% of parameter data is used as model input dimensionality and is respectively substituted into an XGboost model used as an initial energy supply load prediction model and an initial energy supply load prediction model used as an LMST model to be trained, the trained models can be used as intermediate energy supply load prediction models, and the number and the types of the models are not limited in the embodiment.

S304, testing each intermediate energy supply load prediction model through the load prediction test sample set, and determining the energy supply load prediction model according to the prediction result of each intermediate energy supply load prediction model.

In this embodiment, the energy supply load prediction model may be understood as an intermediate energy supply load prediction model, which is determined by comparing the intermediate energy supply load prediction models and has a more stable prediction result and is closer to reality, as the final energy supply load prediction model.

Specifically, the prediction results of the intermediate energy supply load prediction models are tested through a load prediction test sample set, the most preferable intermediate energy supply load prediction model is determined from a plurality of intermediate energy supply load prediction models, and the prediction model is corrected to obtain the final energy supply load prediction model.

Illustratively, the evaluation criteria may be calculated from MRE (Mean absolute relative Error), R2 (coefficient of determination), and CV-RMSE (Circulation Volume-Root Mean Square Error), for example, in comparison of several intermediate energy supply load prediction models, one intermediate energy supply load prediction model having a CV-RMSE of the cold and hot load prediction results of not more than 30% may be used as the final energy supply load prediction model.

In the embodiment of the invention, the acquired historical energy supply parameter information in the preset historical time is preprocessed and the main influence factor is screened to construct the target energy supply parameter information, and then the load prediction training sample set and the load prediction test sample set used for training the energy supply load prediction model are constructed according to the target energy supply parameter information, so that the factors with larger influence on prediction are mainly considered when the model is trained, the energy supply load prediction model is trained based on the target energy supply parameter information, the data volume pressure of model processing is reduced, meanwhile, the energy supply load prediction model suitable for predicting the current environment is selected by screening different types of intermediate energy supply load prediction models, the prediction accuracy and the applicability are improved, the energy supply regulation and control efficiency is effectively improved, and the load prediction result is ensured to have the practical engineering feasibility.

S203, supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy, and acquiring the current energy supply parameter information of the energy supply network.

Wherein the energy supply network comprises at least an energy supply source, at least two nodes and at least one pipe section.

S204, determining a first difference value between the temperature information of each node in the energy supply network and a preset temperature, determining the node with the first difference value larger than a first temperature difference threshold value as a first node to be regulated, and executing a step S206.

In this embodiment, the preset temperature may be specifically understood as a desired temperature value corresponding to a desired energy supply effect set according to an actual demand of the node. The first difference may be understood as a difference between the node temperature and a preset temperature. The first temperature difference threshold may be specifically understood as a temperature threshold preset according to an actual situation and used for indicating that the actual temperature of the node does not reach the expected energy supply effect. The first node to be regulated can be specifically understood as a node, the actual temperature of which does not reach the expected functional effect and needs to be regulated.

For example, the current building is powered according to a preset power supply strategy, the temperature parameter information of each current power supply node can be kept at 26 degrees of the preset temperature, the current power supply network comprises a power supply source, a first node, a second node, a third node, a fourth node and pipe sections among the four nodes, and the first temperature difference threshold is 3 degrees. The current node temperatures of the first node and the second node are 26 degrees, the current node temperature of the third node is 25 degrees, the current node temperature of the fourth node is 22 degrees, and the difference between each node and the preset temperature is obtained and recorded as a first difference. The first difference values of the four nodes are 0 degree, 1 degree and 4 degrees respectively, and it can be determined that the difference value between the fourth node and the preset temperature is greater than a first temperature difference threshold value, that is, the fourth node can be determined as a first node to be regulated.

S205, determining a second difference value between the temperature information of each adjacent node in the energy supply network, determining a node, which is located at the downstream in the energy supply network and corresponds to the second difference value, as a second node to be regulated when the second difference value is larger than a second temperature difference threshold value, and executing the step S210.

In this embodiment, the second difference can be understood as the temperature difference between adjacent upstream and downstream nodes connected by the same pipe section. The second temperature difference threshold can be specifically understood as a temperature threshold preset according to an actual situation and used for indicating that the temperature difference between two adjacent nodes is too large, namely, the hydraulic imbalance phenomenon exists in the pipe section. The second node to be regulated can be specifically understood as a node capable of regulating the pipe section with the hydraulic imbalance problem, generally a node located downstream of the energy supply network in the pipe section, that is, a node far away from the energy supply source in two nodes corresponding to the pipe section, as the second node to be regulated. It should be clear that upstream and downstream nodes are relative concepts, and that a node in the energy supply network is not considered as a fixed upstream or downstream node.

Illustratively, the second temperature difference threshold is 3 degrees, the current first node temperature information is 29 degrees, the second node temperature information is 25 degrees, the first node is adjacent to the second node and in the current energy supply network, the second node is a downstream energy supply node relative to the first node, a second difference value is obtained, the second difference value is 4 degrees and is greater than the second temperature difference threshold, and it may be determined that the second node is a current second node to be regulated and controlled in the current two nodes.

It should be clear that, in the energy supply network, the first node to be regulated and the second node to be regulated may be the same node.

It should be further understood that step S204 and step S205 may be executed simultaneously or in any order, and in the embodiment of the present invention, both steps are executed simultaneously as an example.

S206, determining the first temperature information and the rotating speed value of the variable frequency water pump, corresponding to the first node to be regulated and controlled, extracted from the current energy supply parameter information, as the energy supply parameter to be regulated and controlled corresponding to the first node to be regulated and controlled.

In this embodiment, the first temperature information may be specifically understood as the temperature of the energy supply target at the current time corresponding to the first node to be regulated. The rotating speed value of the variable frequency water pump can be the revolutions per minute of a water pump shaft when the power machine drives the water pump to pump water, and can also be understood as the operating frequency of the variable frequency water pump. The rotating Speed value of the variable frequency water pump can comprise the highest working rotating Speed, the lowest working rotating Speed of the water pump and the working rotating Speed at the last sampling moment of the nth sampling moment, is determined by the value of the control frequency, and can be respectively used by Speed _max 、Speed _min And Speed _n-1 Indicating that the water pump Speed at the nth sampling moment can be Speed _n It is shown that the variable frequency water pump speed may be approximately proportional to the operating frequency.

And S207, determining the difference between the first temperature information and the preset temperature as the temperature difference to be regulated of the first node to be regulated.

In the present embodiment, the temperature difference to be regulated may be specifically understood as a temperature difference that allows the temperature of the first node to be regulated to meet the energy supply requirement and to be increased or decreased to the preset temperature.

And S208, determining the target operation frequency of the variable frequency water pump corresponding to the first node to be regulated according to the temperature difference to be regulated, the rotating speed value of the variable frequency water pump and the preset temperature control correlation coefficient.

In the present embodiment, the preset temperature control related coefficient may be specifically understood as a coefficient related to a desired temperature value.

Specifically, because frequency conversion water pump rotational speed value adjustable range is limited, the event is when carrying out target operating frequency and confirming, the highest operating speed and the minimum operating speed of frequency conversion water pump need be considered, when treating to regulate and control the difference in temperature great, can regard the energy supply network when satisfying the first energy supply demand that treats the regulation and control node, need increase the energy supply as far as possible, when treating to regulate and control the difference in temperature lower, can regard the energy supply network when satisfying the first energy supply demand that treats the regulation and control node, need reduce the energy supply as far as possible, the accessible is treated to regulate and control the difference in temperature and is preset the control by temperature change correlation coefficient and match in order to confirm the required target operating frequency of final frequency conversion water pump.

For example, assuming that the temperature difference to be regulated is represented by Δ T, the rotating Speed value of the variable frequency water pump is represented by Speed, wherein the highest working rotating Speed is represented by Speed _max The minimum operating Speed is expressed as Speed _min The operating Speed for the nth sampling instant is denoted Speed _n And the working rotating Speed of the last sampling moment at the nth sampling moment is expressed as Speed _n-1 The preset temperature control correlation coefficients are expressed as M, N and k, wherein k>0 and k is determined by the time interval for detecting the temperature difference, M and N can be set according to the requirement, for example, M = -1 ℃, N =3 ℃, which is not limited in this embodiment. Assuming that the current time is the (n-1) th sampling time and the sampling time corresponding to the target operating frequency is the nth sampling time, the target operating frequency can be represented by the following formula:

further, taking the device for supplying energy in the first node to be regulated as an air conditioner as an example, the change of the rotation speed of the variable frequency water pump directly affects the cooling capacity and the electric power of the air conditioner, and according to relevant experiments and researches, the cooling (heating) capacity, the electric power and the rotation speed of the water pump (or compressor) of the air conditioner are approximately in a linear relationship, as follows:

P _a (t)＝a·Speed(t)+b

Q _a (t)＝c·Speed(t)+d

wherein a, b, c and d are coefficients, and a and c are both greater than 0; η represents a thermoelectric conversion coefficient of the air conditioner. The first temperature information, the rotating speed of the variable-frequency water pump and the refrigerating capacity form a coupling relation, the rotating speed of the variable-frequency water pump is adjusted by the energy supply network according to the temperature difference value between the first temperature information and the preset temperature, the energy supply network acts on an electrical model of the air conditioner body, so that the refrigerating (heating) capacity and the electric power taken by the system are changed, the change of the refrigerating (heating) capacity is reflected to the indoor temperature through a room model, the change of the indoor temperature influences the rotating speed of the variable-frequency water pump, and the cycle is repeated.

S209, adjusting the operating frequency of the variable frequency water pump corresponding to the node to be regulated to the target operating frequency in the optimized control parameters.

S210, extracting node flow and valve opening corresponding to the second node to be regulated from the current energy supply parameter information, and extracting pipe section flow and pipe section pressure drop of the second node to be regulated, which is closest to an upstream pipe section in the energy supply network.

In this embodiment, node traffic may be understood to be traffic that a user of an access node flows out of the node. The valve opening is to be understood as the opening of the pipeline valve arranged at the second node to be regulated. The pipe section flow is understood to be the flow in the upstream pipe section closest to the second node to be controlled, which has the second node to be controlled as the downstream node and has the hydraulic imbalance problem. A pipe section pressure drop is understood to mean in particular the difference between the pressure in the upstream pipe section at the upstream node and the pressure at the second node to be regulated.

Specifically, the inconsistency between the actual flow rate and the required flow rate of each user in the energy supply network is called the hydraulic imbalance of the user. Hydraulic loss scheduling may be measured as the ratio of actual flow to specified flow. The node flow corresponding to the second node to be regulated and controlled can understand the water flow information of the node in the current unit time period, namely the actual flow; the valve opening corresponding to the second node to be regulated and controlled can be understood as the percentage degree of the valve opening in the current unit time period. And determining the parameter information closest to the upstream pipe section according to the pipe section flow and the pipe section pressure drop at each moment in the current time period of the node.

S211, substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, and determining the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance.

In the present embodiment, the hydraulic calculation model may be understood as a model for correcting hydraulic disorders. The node pressure can be the pressure of the medium in the second node to be regulated, which can be understood as the water pressure.

Wherein, the hydraulic calculation model may include:

node flow continuity equation set [ A ] · [ Q ] = [ Q ]

Pipe segment pressure drop equation set [ Δ P [ ]]＝[A ^T ]·[P]

Pipe section flow equation set [ q ] = [ C ]. DELTA P ]

The equation system for solving the node pressure is [ A.C.A ] obtained by the three formulas ^T ]·[P]＝[Q]. In the formula, a may be represented as a basic incidence matrix of the directed graph of the pipe network, for example, the incidence matrix a in the first embodiment; q may be expressed as a flow vector for the pipe segment; q can be expressed as a node traffic vector, a traffic vector taken by a current node user; p may be represented as a node pressure vector; Δ P may be expressed as a pipe section pressure drop vector, which may be understood as the pressure difference between an upstream node and a downstream node within the pipe section; a. The ^T A transpose matrix that can be represented as a matrix; c may be represented by an element

The node diagonal matrix is formed, wherein alpha is a constant determined according to the fluid state of the fluid in the pipe section, S is the pipe section resistance coefficient, and the equation is as follows:

wherein f may represent a damping coefficient; d may represent the valve opening; may represent a pipe segment length; l. the _d Can express equivalent length, has corresponding relation with valve opening d, and can inquire equivalent length l according to table look-up _d The corresponding valve opening d; ρ may represent density information.

Specifically, the node flow, the valve opening, the pipe section flow and the pipe section pressure drop are substituted into the hydraulic calculation model, and the hydraulic calculation model is solved, so that the node pressure corresponding to the second node to be regulated and controlled when the hydraulic calculation model reaches hydraulic balance can be determined.

And S212, determining the target valve opening degree of the pipeline valve corresponding to the second node to be regulated according to the node pressure.

In this embodiment, an ideal resistance coefficient value when each pipe section reaches hydraulic balance can be obtained according to a network topology of a pipe network and a hydraulic calculation model, so as to obtain a corresponding flow rate and a pressure drop value, that is, the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance, which is obtained in the above steps, and the opening of the pipe valve is adjusted according to the node pressure.

Specifically, the target valve opening may be determined according to a node pressure vector P calculated by a hydraulic calculation model, and according to the formula:

the valve opening d is obtained.

Further, after determining the target valve opening degree of the pipeline valve corresponding to the second node to be regulated according to the node pressure, the method further includes:

(1) And extracting the environment temperature corresponding to the second node to be regulated and controlled and the upstream node temperature of the upstream adjacent node of the second node to be regulated and controlled from the current energy supply parameter information.

In this embodiment, the upstream adjacent node may be specifically understood as a node corresponding to the second node to be regulated, which is located upstream in the pipe section with the hydraulic imbalance problem. The upstream node temperature may be understood as the temperature in the pipe section where the hydraulic imbalance is present, which is located closer to the node of the energy supply source than to the second node to be regulated.

(2) And substituting the opening degree of the target valve, the flow of the pipe section and the temperature of the upstream node into a pipeline temperature loss equation, and determining the temperature of the adjusting node of the second node to be regulated.

In the present embodiment, the pipe temperature loss equation can be understood as a calculation equation for calculating the heat loss in the pipe. The adjustment of the node temperature can be understood as the target temperature obtained by the equation calculation.

Following the above example, the pipe temperature loss equation may specifically include the following two equations:

heat supply:

cooling:

wherein,

indicating the regulated node temperature; c _p The specific heat capacity is shown.

(3) And if the third difference value between the adjustment node temperature and the upstream node temperature is larger than the second temperature difference threshold value, taking the target valve opening as a new valve opening, returning to the step of executing the step of substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, and determining the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance.

Specifically, after the adjustment node temperature of the second node to be regulated is determined, the difference between the adjustment node temperature and the upstream node temperature is calculated and recorded as a third difference. If the third difference is smaller than the second temperature difference threshold, it can be shown that the current energy supply regulation and control has met the energy supply regulation and control target, and the determined target valve opening is the target valve opening which can be used for adjusting the pipeline valve; if the third difference is greater than the second temperature difference threshold, it may indicate that the adjustment of the node temperature at one time is not enough to reduce the temperature difference between two adjacent nodes to the target range, and further energy supply feedback adjustment needs to be performed on the energy supply network. And at the moment, taking the target valve opening obtained by the last feedback as a new valve opening, returning to execute the steps of substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, determining the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance until the third difference is smaller than the second temperature difference threshold, determining that the current energy supply network system is in an optimal operation state, and taking the obtained target valve opening as the target valve opening for regulating and controlling the second node to be regulated and controlled pipeline valve.

And S213, adjusting the opening of the pipeline valve corresponding to the node to be regulated to the target valve opening in the optimized control parameters.

According to the technical scheme of the embodiment, the energy supply network prediction method comprises the steps of obtaining predicted energy supply parameter information corresponding to an energy supply network; inputting energy supply parameter information into a preset energy supply load prediction model, and determining an energy supply strategy of an energy supply network according to an output short-term energy supply prediction result; supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy, and acquiring the current energy supply parameter information of the energy supply network; determining a first difference value between the temperature information of each node in the energy supply network and a preset temperature, and determining the node with the first difference value larger than a first temperature difference threshold value as a first node to be regulated; determining a second difference value between the temperature information of each adjacent node in the energy supply network, and determining a node, which is positioned at the downstream in the energy supply network and corresponds to the second difference value, as a second node to be regulated when the second difference value is larger than a second temperature difference threshold value; extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determining optimized control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; and regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters. By adopting the technical scheme, the load prediction model is trained in advance, so that the load prediction model can adapt to different environments, the prediction result is close to the actual energy supply demand, and the accuracy of energy supply prediction is realized; based on the prediction result and the actual temperature, the number of running energy supply units and the running schedule are adjusted, feed-forward regulation is performed, and energy conservation and emission reduction are realized under the condition of meeting the user requirements; determining each node to be regulated according to the difference between the preset temperature and the node temperature and the temperature difference between adjacent nodes of the same pipe section, and performing negative feedback regulation on the node; the combination of feed-forward regulation and negative feedback regulation can realize dynamic balance of energy supply and is beneficial to power distribution and regulation. Effectively promote energy supply regulation and control efficiency, ensured the dynamic balance of energy supply network and high equipment load rate operation, effective energy saving reduces the harmful emission of environment.

Further, in the embodiment of the invention, the variable frequency water pump of the energy supply network can be similar to a transformer of the power system, and the switch type regulating valve (pipeline valve) in the energy supply network can be similar to a circuit breaker in the power system. The pressure P of a pipe section is used for simulating voltage, the flow m of the pipe section is used for simulating current, the flow resistance and the simulation resistance of the pipe section or equipment are defined, and a power supply source (a variable frequency water pump) is simulated as a voltage source. Based on kirchhoff's voltage law, adaptability is modified to be suitable for a power supply network model equation, and a loop equation is adopted to solve in a power supply network in analogy to a power network. Meanwhile, the kirchhoff current law can be adaptively modified into a hydraulic calculation model, a node equation is adopted in an energy supply network for solving, and hydraulic imbalance adjustment calculation is performed on the basis of topology. The energy supply network considers the whole thermodynamic system as a node, pipe sections are considered as branches, if the flowing direction of energy in the pipeline is considered, a directed topological graph is formed to simulate an electric network, and the mature theory of the electric network is utilized to analyze the energy supply system.

Specifically, before supplying power to the corresponding power supply network according to the predetermined power supply strategy, the method further includes:

(1) And acquiring a pipe section construction parameter, an energy supply construction parameter, a node construction parameter, a water pump construction parameter and an environment construction parameter of an energy supply network.

In this embodiment, the pipe segment construction parameters may be understood as parameter information included in the construction of the pipe segment, and specifically may include parameter information such as a pipeline start node, a pipeline end node, a pipe length, a pipe diameter, a roughness coefficient, a thermal conductivity, hydraulic friction, a pressure drop, and a flow rate.

The energy supply source construction parameters can be understood as parameter information contained in the energy supply source, and specifically can include parameter information such as heat source fluid components, heat source equipment capacity, rated heat supply output, rated water supply temperature, nodes connected with heat sources, fluid density and the like.

The node construction parameters can be understood as parameter information contained in the construction nodes, and specifically can include parameter information such as node numbers, heat demand, rated water outlet temperature, node pressure, node inlet temperature/outlet temperature, node flow and the like.

The water pump construction parameters may include parameter information such as node numbers and water pump outlet pressure.

The environmental model may include parametric information such as ambient temperature.

(2) And constructing a topological graph of the energy supply network according to the pipe section construction parameters, the energy supply source construction parameters, the node construction parameters, the water pump construction parameters and the environment construction parameters so as to display the energy supply source, each node and the parameter information of each pipe section in the topological graph.

Fig. 5 is a schematic view of an annular pipe network structure according to a second embodiment of the present invention. As shown in fig. 5, there are 12 pipe segments and 10 nodes in the looped pipe network. With the energy source 10 as a starting point, the energy flows to the first downstream node 9, and the energy acquired at the node 9 flows to the node 5 through the pipe segment (7), to the node 8 through the pipe segment (9), and to the node 6 through the pipe segment (8), respectively. Specifically, a matrix may be generated:

further, according to the pipeline model, if there are m devices, they are connected by n pipelines (m < n), i denotes the order of the devices, j denotes the order of the pipelines, and an association matrix a (m × n) is defined to represent the connection relationship between m devices (rows) and n pipelines (columns) and an adjacency matrix X (m × m), and the calculation equation is as follows:

A＝A _ij ,i＝1,2,...,m j＝1,2,...,n

wherein the respective adjacency and association matrices may be represented by:

the incidence matrix is:

the adjacency matrix is:

further, automatic topology drawing can be performed by a program according to the generated incidence matrix and the adjacency matrix. Firstly, reading a pipeline model, a cold and heat source model and a user model of an energy supply network; generating a correlation matrix and an adjacency matrix according to the model; determining the grade of the bus and the coordinate value of the y axis of the bus; determining the position relation of the x-axis coordinate of the same y-axis coordinate value bus according to the bus grade; translating the buses according to the corresponding relation among the buses; and (5) checking whether the length of the bus bars is proper and whether the bus bars are not overlapped. If any condition of improper length or bus superposition is met, the inspection step is carried out again; if the length is proper and the bus bars are not coincident, the next step can be executed; drawing a bus; determining an x-axis coordinate value of a bus connecting line according to a connecting line corresponding to the bus crossing end point; drawing a bus connecting line; drawing a load corresponding to the bus according to the load model; drawing valves on a bus connecting line and a load connecting line, and accessing a heat (cold) source and a water pump on a bus connected with the heat (cold) source; completing the drawing of hot (cold) topology; and marking the values acquired by the system in real time at the corresponding bus, load and connecting line positions.

Further, fig. 6 is an exemplary diagram of a heat supply network topology drawn according to a program according to the second embodiment of the present invention, as shown in fig. 6, the topology is a heat supply network topology, and a cold network topology is similar to the heat supply network topology. The thermal topology is shown in grey in the figure, and the user and device states are also distinguished by using colors, for example, when the node load is not 0, the load color is the same grey as the thermal topology, and when the load is 0, the load color is black.

In this embodiment, a visualization platform is described, which includes a function of automatically drawing a cold and hot topology and a function of displaying system parameters and a regulation and control process in real time, receives data transmitted by a collector in real time and displays the system parameters in the system topology, receives optimal value data transmitted by an energy controller at the same time, displays system operation parameters and optimal operation parameters of a current system on the platform, displays a hydraulic power failure schedule, and visually displays the operation regulation and control process on the platform in real time.

Wherein, the automatic drawing topology function is: by means of the method of graph theory, the topology of the cold and hot system is drawn by reading a pipe section model (because a water supply pipe and a water return pipe are symmetrical, a water return pipe is not considered), an energy supply model and a user model, and the real-time parameters and the optimal values of the system are displayed through data uploaded by a dynamic collector and an energy controller, so that the regulation and control process of the system is visualized.

EXAMPLE III

Fig. 7 is a schematic structural diagram of an energy supply regulation and control device provided in the third embodiment of the present invention, where the energy supply regulation and control device includes a parameter obtaining module 31, a node determining module 32, an optimization parameter determining module 33, and a node regulating and control module 34.

The parameter obtaining module 31 is configured to provide power to a corresponding power supply network according to a predetermined power supply strategy, and obtain current power supply parameter information of the power supply network; the energy supply network at least comprises an energy supply source, at least two nodes and at least one pipe section; the node determining module 32 is configured to determine a node to be regulated according to a preset energy supply regulation condition and temperature information in the current energy supply parameter information; the optimization parameter determining module 33 is configured to extract energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determine optimization control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; optimizing the control parameter to be at least one of target operation frequency and target valve opening; and the node regulating and controlling module 34 is used for regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters.

By adopting the technical scheme, the energy supply network is supplied according to the predetermined energy supply strategy, the feed-forward regulation of the energy supply network is realized, the negative influence of time lag is eliminated, the equipment is prevented from being in a low load rate running state, and the energy supply as required is realized; to each in the energy supply network treating the regulation and control node, adjust respectively that each treats the variable frequency water pump operating frequency or the pipeline valve aperture of regulation and control node waits for the regulation and control energy supply parameter, realizes the negative feedback regulation to the energy supply network, has guaranteed the hydraulic balance among the actual operation process, has reduced the pipe network heat loss, promotes the energy supply effect, realizes the dynamic balance that supplies the ability. The front feedback regulation is combined with the negative feedback regulation, so that the energy supply regulation efficiency is effectively improved, the dynamic balance of an energy supply network and the high equipment load rate operation are guaranteed, and the energy conservation and emission reduction are realized on the basis of meeting the user requirements.

Optionally, the energy supply regulation and control device further comprises:

the first parameter acquisition module is used for acquiring the predicted energy supply parameter information corresponding to the energy supply network before supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy; the energy supply prediction parameter information at least comprises first historical load data, first historical environment parameters, first historical personnel data and environment forecast parameters;

and the strategy determining module is used for inputting the predicted energy supply parameter information into a preset energy supply load prediction model before supplying energy to the corresponding energy supply network according to the predetermined energy supply strategy, and determining the energy supply strategy of the energy supply network according to the output short-term energy supply prediction result.

Optionally, the energy supply regulating and controlling device further comprises:

the second parameter acquisition module is used for acquiring historical energy supply parameter information corresponding to the energy supply network within preset historical time before acquiring the predicted energy supply parameter information corresponding to the energy supply network; the historical energy supply parameter information at least comprises second historical load data, second historical environmental parameters and second historical personnel data;

the system comprises a sample set construction module, a load forecasting training sample set and a load forecasting test sample set, wherein the sample set construction module is used for preprocessing historical energy supply parameter information and screening main influence factors before acquiring the corresponding forecasting energy supply parameter information of an energy supply network, determining target energy supply parameter information and constructing the load forecasting training sample set and the load forecasting test sample set according to the target energy supply parameter information; the load prediction training sample set and the load prediction test sample set comprise a real data set in target energy supply parameter information and a calibration data set corresponding to the real data set, and the calibration data set is second historical load data in the calibrated real data set;

the intermediate model determining module is used for inputting the load prediction training sample sets into a preset number of initial energy supply load prediction models of different types for training respectively before acquiring the predicted energy supply parameter information corresponding to the energy supply network until a preset convergence condition is met to obtain a preset number of intermediate energy supply load prediction models;

and the model determining module is used for testing each intermediate energy supply load prediction model through the load prediction test sample set before the predicted energy supply parameter information corresponding to the energy supply network is obtained, and determining the energy supply load prediction model according to the prediction result of each intermediate energy supply load prediction model.

Optionally, the policy determining module is specifically configured to:

determining the energy supply demand of the energy supply network in different time periods according to the output short-term energy supply prediction result; determining the number of units operating in each time period according to the corresponding relation of preset energy supply units; and determining the set of each time period and the corresponding unit operation number as an energy supply strategy of the energy supply network.

Optionally, the node determining module 32 includes:

the first node determining unit is used for determining a first difference value between the temperature information of each node in the energy supply network and a preset temperature, and determining the node with the first difference value larger than a first temperature difference threshold value as a first node to be regulated;

and the second node determining unit is used for determining a second difference value between the temperature information of each adjacent node in the energy supply network, and when the second difference value is larger than a second temperature difference threshold value, the node, positioned at the downstream in the energy supply network, in the adjacent node corresponding to the second difference value is determined as a second node to be regulated.

Optionally, if the node to be regulated is the first node to be regulated, the optimization parameter determining module 33 is specifically configured to:

determining first temperature information and a variable frequency water pump rotating speed value corresponding to a first node to be regulated and controlled extracted from the current energy supply parameter information as energy supply parameters to be regulated and controlled corresponding to the first node to be regulated and controlled;

determining the difference between the first temperature information and a preset temperature as the temperature difference to be regulated of the first node to be regulated;

and determining the target operation frequency of the variable frequency water pump corresponding to the first node to be regulated according to the temperature difference to be regulated, the rotating speed value of the variable frequency water pump and the preset temperature control correlation coefficient.

Optionally, if the node to be regulated is a second node to be regulated, the optimization parameter determining module 33 is specifically configured to:

extracting node flow and valve opening corresponding to the second node to be regulated from the current energy supply parameter information, and pipe section flow and pipe section pressure drop of the second node to be regulated, which are closest to an upstream pipe section in the energy supply network;

substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, and determining the node pressure corresponding to a second node to be regulated and controlled during hydraulic balance;

and determining the target valve opening degree of the pipeline valve corresponding to the second node to be regulated according to the node pressure.

Optionally, after determining, according to the node pressure, a target valve opening of the pipeline valve corresponding to the second node to be regulated and controlled, the method further includes:

extracting the environment temperature corresponding to the second node to be regulated and the upstream node temperature of the upstream adjacent node of the second node to be regulated and controlled from the current energy supply parameter information;

substituting the opening degree of the target valve, the flow of the pipe section and the temperature of the upstream node into a pipeline temperature loss equation, and determining the temperature of an adjusting node of a second node to be regulated;

and if the third difference value between the adjusted node temperature and the upstream node temperature is larger than the second temperature difference threshold value, taking the target valve opening as a new valve opening, returning to the step of executing the step of substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, and determining the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance.

Optionally, the node regulation module 34 includes:

the operation frequency regulation and control unit is used for regulating the operation frequency of the variable-frequency water pump corresponding to the node to be regulated and controlled into a target operation frequency in the optimized control parameters;

and the valve opening regulating and controlling unit is used for regulating the opening of the pipeline valve corresponding to the node to be regulated and controlled into the target valve opening in the optimized control parameter.

Optionally, the energy supply regulation and control device further includes:

the topology construction module is used for acquiring pipe section construction parameters, energy supply source construction parameters, node construction parameters, water pump construction parameters and environment construction parameters of the energy supply network before the corresponding energy supply network is supplied with energy according to a predetermined energy supply strategy; and constructing a topological graph of the energy supply network according to the pipe section construction parameters, the energy supply source construction parameters, the node construction parameters, the water pump construction parameters and the environment construction parameters so as to display the energy supply source, each node and the parameter information of each pipe section in the topological graph.

The energy supply regulation and control device provided by the embodiment of the invention can execute the energy supply regulation and control method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

Fig. 8 is a schematic structural diagram of an energy supply regulation and control device according to a fourth embodiment of the present invention. The energy supply regulation device 40 may be an electronic device intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 8, energy supply regulating device 40 includes at least one processor 41, and a memory communicatively connected to at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, etc., wherein the memory stores a computer program executable by the at least one processor, and processor 41 may perform various suitable actions and processes according to the computer program stored in Read Only Memory (ROM) 42 or loaded from storage unit 48 into Random Access Memory (RAM) 43. In the RAM 43, various programs and data necessary for the operation of the power supply control device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.

A plurality of components in the energy supply regulation device 40 are connected to the I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, or the like; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the energy regulating device 40 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Processor 41 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. Processor 41 performs the various methods and processes described above, such as the energy regulation method.

In some embodiments, the energy supply regulation method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto power regulation device 40 via ROM 42 and/or communications unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the energy supply regulation method described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the energy supply regulation method by any other suitable means (e.g., by way of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An energy supply control method, comprising:

supplying energy to a corresponding energy supply network according to a predetermined energy supply strategy, and acquiring current energy supply parameter information of the energy supply network; the energy supply network at least comprises an energy supply source, at least two nodes and at least one pipe section;

determining a node to be regulated and controlled according to preset energy supply regulation conditions and temperature information in the current energy supply parameter information;

extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determining optimized control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; the optimized control parameter is at least one of target operation frequency and target valve opening;

2. The method of claim 1, further comprising, prior to energizing the corresponding energizing network according to the predetermined energizing strategy:

acquiring predicted energy supply parameter information corresponding to the energy supply network; the energy supply prediction parameter information at least comprises first historical load data, first historical environment parameters, first historical personnel data and environment forecast parameters;

and inputting the predicted energy supply parameter information into a preset energy supply load prediction model, and determining an energy supply strategy of the energy supply network according to the output short-term energy supply prediction result.

3. The method according to claim 2, further comprising, before said obtaining predicted energy supply parameter information corresponding to said energy supply network:

acquiring historical energy supply parameter information corresponding to the energy supply network within preset historical time; the historical energy supply parameter information at least comprises second historical load data, second historical environmental parameters and second historical personnel data;

preprocessing the historical energy supply parameter information and screening main influence factors to determine target energy supply parameter information, and constructing a load prediction training sample set and a load prediction testing sample set according to the target energy supply parameter information; the load prediction training sample set and the load prediction testing sample set comprise a real data set in the target energy supply parameter information and a calibration data set corresponding to the real data set, and the calibration data set is second historical load data in the calibrated real data set;

respectively inputting the load prediction training sample sets into a preset number of initial energy supply load prediction models of different types for training until a preset convergence condition is met to obtain a preset number of intermediate energy supply load prediction models;

and testing each intermediate energy supply load prediction model through the load prediction test sample set, and determining the energy supply load prediction model according to the prediction result of each intermediate energy supply load prediction model.

4. The method of claim 2, wherein determining the energization strategy of the energization network based on the outputted short-term energization prediction comprises:

determining the energy supply demand of the energy supply network in different time periods according to the output short-term energy supply prediction result;

determining the number of the units operating in each time period according to the corresponding relation of preset energy supply units;

and determining each time period and the corresponding set of the unit operation number as an energy supply strategy of the energy supply network.

5. The method according to claim 1, wherein the determining a node to be regulated according to preset energy supply regulation conditions and temperature information in the current energy supply parameter information comprises:

determining a first difference value between the temperature information of each node in the energy supply network and a preset temperature, and determining a node of which the first difference value is greater than a first temperature difference threshold value as a first node to be regulated;

and determining a second difference value between the temperature information of each adjacent node in the energy supply network, and determining a node positioned at the downstream in the energy supply network in the adjacent node corresponding to the second difference value as a second node to be regulated and controlled when the second difference value is larger than a second temperature difference threshold value.

6. The method according to claim 5, wherein if the node to be regulated and controlled is a first node to be regulated and controlled, extracting energy supply parameters to be regulated and controlled corresponding to the node to be regulated and controlled from the current energy supply parameter information, and determining the optimized control parameters corresponding to the node to be regulated and controlled according to the energy supply parameters to be regulated and controlled comprises:

determining first temperature information and a variable frequency water pump rotating speed value corresponding to the first node to be regulated and controlled extracted from the current energy supply parameter information as energy supply parameters to be regulated and controlled corresponding to the first node to be regulated and controlled;

determining the difference between the first temperature information and the preset temperature as the temperature difference to be regulated of the first node to be regulated;

and determining the target operating frequency of the first to-be-regulated node to the strain frequency water pump according to the to-be-regulated temperature difference, the rotating speed value of the variable frequency water pump and a preset temperature control correlation coefficient.

7. The method according to claim 5, wherein if the node to be regulated and controlled is a second node to be regulated and controlled, extracting energy supply parameters to be regulated and controlled corresponding to the node to be regulated and controlled from the current energy supply parameter information, and determining the optimized control parameters corresponding to the node to be regulated and controlled according to the energy supply parameters to be regulated and controlled comprises:

extracting node flow and valve opening corresponding to the second node to be regulated and controlled, and pipe section flow and pipe section pressure drop of the second node to be regulated and controlled closest to an upstream pipe section in the energy supply network from the current energy supply parameter information;

substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, and determining the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance;

8. The method of claim 7, wherein after determining the target valve opening of the pipeline valve corresponding to the second node to be regulated according to the node pressure, the method further comprises:

substituting the target valve opening, the pipe section flow and the upstream node temperature into a pipeline temperature loss equation to determine the adjusting node temperature of the second node to be regulated;

and if a third difference value between the adjusted node temperature and the upstream node temperature is larger than the second temperature difference threshold value, taking the target valve opening as a new valve opening, returning to execute the step of substituting the node flow, the valve opening, the pipe section flow and the pipe section pressure drop into a hydraulic calculation model corresponding to the energy supply network, and determining the node pressure corresponding to the second node to be regulated and controlled during hydraulic balance.

9. The method according to claim 1, wherein the controlling the variable frequency water pump and/or the pipeline valve corresponding to the node to be controlled according to the optimized control parameter comprises:

10. The method of claim 1, further comprising, prior to energizing the corresponding energizing network according to the predetermined energizing strategy:

acquiring a pipe section construction parameter, an energy supply construction parameter, a node construction parameter, a water pump construction parameter and an environment construction parameter of the energy supply network;

and constructing a topological graph of the energy supply network according to the pipe section construction parameters, the energy supply source construction parameters, the node construction parameters, the water pump construction parameters and the environment construction parameters so as to display parameter information of the energy supply source, the nodes and the pipe sections in the topological graph.

11. An energy supply regulation device, comprising:

the optimization parameter determining module is used for extracting energy supply parameters to be regulated and controlled corresponding to the nodes to be regulated and controlled from the current energy supply parameter information, and determining optimization control parameters corresponding to the nodes to be regulated and controlled according to the energy supply parameters to be regulated and controlled; the optimized control parameter is at least one of target operation frequency and target valve opening;

and the node regulation and control module is used for regulating and controlling the variable-frequency water pump and/or the pipeline valve corresponding to the node to be regulated and controlled according to the optimized control parameters.

12. An energy supply regulation device, comprising:

at least one processor, and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the energy regulation method of any one of claims 1-10.

13. A computer-readable storage medium storing computer instructions for causing a processor to implement the energy supply regulation method of any one of claims 1-10 when executed.