System and method for controlling multi-element load demand response in industrial park

Abstract

The invention relates to an industrial park multi-element load demand response control system and method, and the system comprises a data collection module which collects the equipment parameters, historical load operation data and participated demand response operation data of all kinds of equipment in an industrial park; the load classification module is used for dividing the loads into different load types according to the physical characteristics and the regulation and control characteristics of various loads; the load characteristic modeling module is used for establishing a load characteristic model corresponding to the load type according to the divided load type; the load demand response potential calculation module is used for calculating the load demand response potential according to the equipment parameters, the historical load operation data and the participation demand response operation data through a load characteristic model; and the circuit breaker control module is used for generating a control strategy according to the demand response task in the industrial park through the load demand response potential and sending the control strategy to the circuit breaker for execution.

Description

Technical Field

[0001] The present invention generally relates to a system and method for multi-load demand response control in an industrial park. Background Art

[0002] With the rapid development of my country's economy, the demand for electricity supply is increasing. Among them, the diversified loads in industrial parks are not only important subjects of socialized production, but also important objects of load-side demand response. my country has various types of industrial parks, which cover huge potential for diversified loads. However, the current load perception system cannot meet the needs of accurate perception and flexible regulation of power loads. It is urgent to rely on advanced power load identification, demand response potential regulation systems, etc. to improve the accurate perception and flexible regulation of industrial park production load clusters, and promote the interaction between supply and demand in industrial parks.

[0003] Compared with conventional residential power loads, industrial park loads have production characteristics such as uneven spatial distribution, large differences in production processes, and inconsistent production sequences, which leads to an imperfect precision perception system for key power load clusters, and cannot accurately perceive the energy consumption of various key power loads in the park, and cannot meet the needs of solving demand response potential, which brings many problems to the precise perception and system regulation of multiple loads in industrial parks. Therefore, it is necessary to classify the multiple loads in the industrial park and solve their demand response potential.

[0004] However, most existing studies use user profiling technology, baseline load calculation and other methods to control the system, establish demand response potential models for temperature control loads or electric vehicles, and rarely consider the randomness of user behavior and user comprehensive energy consumption behavior, and fail to conduct a comprehensive demand response potential solution for various loads in industrial parks. In order to solve the shortage of historical data on user demand response, it is urgent to improve the existing park control system and methods, and achieve accurate perception and flexible control of load clusters in the park by modeling and predicting the comprehensive potential of the responsive loads in the industrial park. Summary of the invention

[0005] In response to the problems existing in the prior art, the present invention provides a system and method for multi-load demand response control in an industrial park, which can determine the participation of different types of equipment in the industrial park in demand response, input main equipment parameters (for example, rated power, etc.) as influencing factors, solve the demand response potential using a response model based on the type of load equipment, and perform centralized regulation of load clusters.

[0006] According to one aspect of the present invention, a system for multi-element load demand response control in an industrial park is provided, and the system may include: a data acquisition module, configured to collect equipment parameters, historical load operation data, and demand response operation data of various types of equipment in the industrial park; a load classification module, configured to classify the loads into different load types according to the physical characteristics and regulation characteristics of the various types of loads; a load characteristic modeling module, configured to establish a load characteristic model corresponding to the load type according to the load type classified by the load classification module; a load demand response potential calculation module, configured to calculate the load demand response potential according to the equipment parameters, historical load operation data, and demand response operation data through the load characteristic model established by the load characteristic modeling module; and a circuit breaker control module, configured to generate a control strategy according to the demand response tasks in the industrial park through the load demand response potential calculated by the load demand response potential calculation module and send the control strategy to the circuit breaker for execution.

[0007] Furthermore, the physical characteristics and control characteristics may include at least one of whether the production time can be interrupted, whether the operating power can be reduced, and whether to participate in demand response. The load type may include at least one of a shiftable load, a curtailable load, a temperature-controlled load, and an energy storage load.

[0008] Furthermore, the historical load operation data may include at least one of historical power changes, equipment operating temperature changes, energy storage device SOC changes, and equipment operating time.

[0009] Furthermore, the equipment parameters may include at least one of rated power, energy storage rated capacity, number of equipment, operating time, rated operating temperature range, and energy storage capacity range.

[0010] Furthermore, the control strategy may include start-stop control or power limitation.

[0011] Further, a load characteristic model corresponding to the type of translatable load may be established based on operating power, continuous operating time, and transferable properties.

[0012] Furthermore, a load characteristic model corresponding to the type of curtailable load may be established based on equipment operation power regulation constraints.

[0013] Furthermore, a load characteristic model corresponding to the type of temperature-controlled load may be established based on equipment energy consumption and room temperature and adjustment temperature.

[0014] Furthermore, a load characteristic model corresponding to the type of energy storage load may be established based on the energy consumption of the energy storage load and the battery state of charge, and participation in demand response.

[0015] According to another aspect of the present invention, a method for multi-load demand response control in an industrial park is provided, and the method may include: a data collection step, collecting equipment parameters, historical load operation data, and demand response operation data of various types of equipment in the industrial park; a load classification step, dividing the loads into different load types according to the physical characteristics and regulation characteristics of each type of load; a load characteristic modeling step, establishing a load characteristic model corresponding to the load type according to the load type divided by the load classification step; a load demand response potential calculation step, calculating the load demand response potential according to the equipment parameters, historical load operation data, and demand response operation data of the load characteristic model established by the load characteristic modeling step; and a circuit breaker control step, generating a control strategy according to the demand response task in the industrial park using the load demand response potential calculated by the load demand response potential calculation step and sending the control strategy to the circuit breaker for execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural block diagram showing a system for responding to multiple load demands of an industrial park according to an embodiment of the present invention.

[0017] Figure 2 The flowchart shows a method for responding to and controlling multiple load demands in an industrial park according to an embodiment of the present invention.

[0018] Figure 3 The invention is a flowchart showing a demand response process of a transferable load in a method for controlling a multi-load demand response in an industrial park according to an embodiment of the present invention.

[0019] Figure 4 The flowchart shows a demand response process of load reduction in a method for industrial park multi-load demand response control according to an embodiment of the present invention.

[0020] Figure 5 The flowchart shows the demand response process of the temperature control load in the method for industrial park multi-load demand response control according to an embodiment of the present invention.

[0021] Figure 6 The flowchart shows the demand response process of the energy storage load in the method for industrial park multi-load demand response control according to an embodiment of the present invention.

[0022] Figure 7 is a general schematic diagram showing load classification of an industrial park according to an embodiment of the present invention.

[0023] Figures 8a to 8c is a diagram illustrating a shiftable load demand response potential curve according to an embodiment of the present invention.

[0024] Figure 9a to Figure 9b2 is a diagram showing a heat map and a potential curve of curtailable load demand response according to an embodiment of the present invention.

[0025] Figure 10a to Figure 10b is a diagram showing a temperature-controlled load demand response potential heat map and a potential curve according to an embodiment of the present invention.

[0026] Figure 11a to Figure 11b is a diagram showing a potential heat map and a potential curve of energy storage type load demand response according to an embodiment of the present invention.

[0027] Fig.12 It is a control circuit diagram of an industrial park system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] Figure 1 is a structural block diagram showing a system 100 for responding to and controlling multiple load demands in an industrial park according to an embodiment of the present invention.

[0029] Reference Figure 1 According to an embodiment of the present invention, the industrial park multi-load demand response control system 100 (hereinafter referred to as the system 100) may include a data acquisition module 110, a load classification module 120, a load characteristic modeling module 130, a load demand response potential calculation (solution) module 140, and a circuit breaker control module 150. Although Figure 1 The system 100 is shown to include the above modules, but the present invention is not limited thereto, and other modules may be added or modules may be omitted as needed.

[0030] The data collection module 110 may be configured to collect equipment parameters, historical load operation data, and demand response operation data of various types of equipment in the industrial park.

[0031] In the present invention, the data acquisition module 110 can collect data on various loads through the intelligent circuit breakers in the industrial park, form historical load power data of various equipment, and participate in demand response operation data, which is convenient for subsequent load energy evaluation and control.

[0032] For example, the data acquisition module 110 can input the basic parameters of various types of equipment into the system 100, including rated power, energy storage rated capacity, number of equipment, operating time, rated operating temperature range, energy storage capacity range, etc.; collect operating data of various types of loads from the system 100 through intelligent circuit breakers and sensor devices, including historical power changes, equipment operating temperature changes, energy storage equipment SOC changes, equipment operating time, etc.; adjust whether various types of equipment in the system 100 participate in demand response based on orderly power consumption and demand response.

[0033] The load classification module 120 may be configured to classify the loads into different load types according to the physical characteristics and regulation characteristics of each type of load.

[0034] In the present invention, the load classification module 120 can consider the production characteristics of the industrial park and classify the loads into different load types based on the physical characteristics and control characteristics of each type of load, such as four types of loads: movable (transfer) loads, reducible (interrupt) loads, temperature-controlled loads, and energy storage loads. Although the present invention shows the above four load types, the present invention is not limited thereto.

[0035] For example, if the industrial park equipment meets the following characteristics, the load classification module 120 can classify the load as a shiftable load: once the production equipment starts running, it must continue to complete the production task assigned by the management system, and cannot be interrupted in the middle, and is subject to the constraints of the work start and end time, but the overall working period can be advanced or delayed. Within a certain time range, the production equipment team can freely choose the start time.

[0036] For example, if the industrial park equipment meets the following characteristics, the load classification module 120 can classify the load into a curtailable (interruptible) load: an industrial park operating equipment load whose power consumption period cannot be adjusted or is rarely adjusted, but whose power consumption can be interrupted or whose power consumption can be adjusted. For example, industrial park lighting equipment often has the function of continuously adjusting power consumption or switching several gears of power consumption during operation, which can provide the potential for participating in grid demand response.

[0037] For example, if the industrial park equipment meets the following characteristics, the load classification module 120 can classify the load as a temperature-controlled load: the park equipment controls power consumption through temperature settings, and the power consumption period cannot be adjusted or transferred.

[0038] For example, if the industrial park equipment meets the following characteristics, the load classification module 120 can classify the load as an energy storage load: equipment with electrical energy storage capabilities and that can read the battery pack charge state and adjust the charge and discharge state, such as a battery power supply device or an electric vehicle charging station.

[0039] The load characteristic modeling module 130 may be configured to establish a load characteristic model corresponding to the load type according to the load type classified by the load classification module 120 .

[0040] In the present invention, the load characteristic modeling module 130 can establish characteristic models corresponding to different load types according to different load types. For example, the load characteristic modeling module 130 can establish characteristic models of the four loads according to whether the production time of the above four loads can be interrupted, whether the operating power can be reduced, whether to participate in demand response, etc.

[0041] For example, for modeling the transferable load characteristics, the load characteristics modeling module 130 may establish a mathematical model of the operating power, the continuous operating time and the transferable attributes (see later). Figure 2 , step S230 of FIG. 10 is described below).

[0042] For example, for the modeling of curtailable (interruptible) load characteristics, the load characteristic modeling module 130 may establish a mathematical model of the equipment operation power regulation constraint (see later). Figure 2 , step S230 of FIG. 10 is described below).

[0043] For example, for temperature-controlled load characteristic modeling, the load characteristic modeling module 130 can establish a mathematical model between the equipment energy consumption and the room temperature and the adjustment temperature (see later). Figure 2 , step S230 of FIG. 10 is described below).

[0044] For example, for energy storage load characteristic modeling, the load characteristic modeling module 130 can establish a mathematical model of energy storage load energy consumption and battery charge state, and participate in demand response (see later). Figure 2 , step S230 of FIG. 10 is described below).

[0045] The load demand response potential calculation module 140 can be configured to calculate the load demand response potential based on the load characteristic model established by the load characteristic modeling module 130 and the equipment parameters, historical load operation data, and participating demand response operation data collected by the data acquisition module 110.

[0046] In the present invention, the load demand response potential calculation module 140 can calculate the load demand response potential (also called "solving") using the load characteristic model based on the equipment parameters, historical operating conditions and data participating in the demand response of various types of equipment.

[0047] For example, the load demand response potential calculation module 140 can solve the potential according to the demand response process for the transferable load demand response model (see later). Figure 2 , and step S240 is described below).

[0048] For example, the load demand response potential calculation module 140 can solve the potential for the curtailable (interrupted) load demand response model according to the demand response process (see later). Figure 2 , and step S240 is described below).

[0049] For example, the load demand response potential calculation module 140 can solve the potential according to the demand response process for the temperature control type load demand response model (see later). Figure 2 , and step S240 is described below).

[0050] For example, the load demand response potential calculation module 140 can solve the potential according to the demand response process for the energy storage type load demand response model (see later). Figure 2 , and step S240 is described below).

[0051] In the present invention, for the sake of clarity, a demand response potential heat map and a demand response potential curve may be drawn based on the demand response potential solution results of the above-mentioned different load types.

[0052] The circuit breaker control module 150 may be configured to generate a control strategy according to the load demand response potential calculated by the load demand response potential calculation module 140 and the demand response tasks in the industrial park and send the control strategy to the circuit breaker for execution.

[0053] In the present invention, the circuit breaker control module 150 can send control instructions to the intelligent circuit breaker through the industrial park load control terminal according to the strategies of orderly power consumption and demand response in the industrial park, so as to realize remote control of various loads. In the embodiment, the control strategy includes start-stop, speed regulation and frequency regulation, but the present invention is not limited thereto.

[0054] For example, the circuit breaker control module 150 can generate a control strategy based on the demand response tasks of the park and the demand response potential of each type of load, and issue control instructions to the smart circuit breaker so that the smart circuit breaker controls the controlled equipment, such as start and stop control or power limitation.

[0055] Figure 2 The flowchart shows a method for responding to and controlling multiple load demands in an industrial park according to an embodiment of the present invention.

[0056] Reference Figure 2 The method for industrial park multi-load demand response control according to an embodiment of the present invention (hereinafter referred to as "the method") includes step S210, that is, a data collection step, which collects equipment parameters, historical load operation data, and demand response operation data of various types of equipment in the industrial park.

[0057] In step S210, various parameters may be input or collected, including basic equipment operating parameters, historical operating data, and participation in demand response. Figure 1 The system 100 inputs basic parameters of various types of equipment, including rated power, energy storage rated capacity, number of equipment, operating time, rated operating temperature range, energy storage capacity range, etc.

[0058] The following is an example of an industrial park, which includes injection molding machines, CNC machine tools, cement plant crushers, textile production equipment, factory lighting equipment, park air conditioning equipment and electric vehicle energy storage charging piles. Demand response is implemented from 18:00 to 22:00 at night, with an interval of 15 minutes. The equipment data is shown in Table 1 below: Table 1 Equipment parameters in the industrial park

[0059] For example, in step S210, the intelligent circuit breaker and the sensor device may be used to Figure 1 The system 100 collects operating data of various load devices, including historical power changes, equipment operating temperature changes, energy storage state of charge (SOC) changes, equipment operating time and operating intervals, etc.; and adjusts whether various devices in the system participate in demand response based on orderly power consumption and demand response.

[0060] The method may further include step S220, ie, a load classification step, in which the loads are classified into different load types according to the physical characteristics and control characteristics of each type of load.

[0061] In step S220, the equipment in the industrial park can be divided into different load types according to the operating characteristics of the load in the park, such as movable loads, reducible loads, temperature-controlled loads and energy storage loads.

[0062] The method may further include step S230, ie, a load characteristic modeling step, in which a load characteristic model corresponding to the load type is established according to the load type classified by the load classification step S220.

[0063] The following shows how to model the load characteristic model corresponding to different load types.

[0064] (1) Modeling of shiftable load characteristics: The operating power of this type of key power load cluster is shown in formula (1-1): (1-1)

[0065] In the formula, The total actual operating power of the production equipment team / key power load cluster a; The total rated operating power of the production equipment team / key power load cluster a; is a 0-1 variable, indicating whether the production equipment team a is running during the t period. When the equipment team is in operation, otherwise it is in shutdown state.

[0066] This type of critical power load cluster has the property of being uninterruptible, so it is necessary to ensure that the equipment team If it is started at all times, it will run continuously for at least time periods. This property can be expressed as: (1-2)

[0067] In the formula, It is the number of operating hours, that is, the time the equipment team needs to run continuously once it is started.

[0068] This type of critical power load cluster has a transferable attribute, and the start time of the equipment team can be selected under the premise of meeting specific production constraints. This attribute can be expressed as: (1-3)

[0069] In the formula, , are the start and end time of demand response respectively; It is the maximum delay time, which is generally the time interval of load shifting that is acceptable to the production equipment team.

[0070] (2) Modeling of curtailable (interruptible) load characteristics: The operating power of this type of key power load cluster is shown in formula (1-4): (1-4)

[0071] In the formula, is the total operating power of the lighting equipment in area a at time t; , They are the lower and upper limits of the total power consumption of lighting equipment in area a respectively.

[0072] (3) Temperature-controlled load characteristic modeling: Based on the typical thermodynamic characteristics of the temperature-controlled equipment, it is simplified into a constant temperature heater, and its physical process is modeled to obtain the total operating power of this type of key power load. The room temperature Relationship: (1-5)

[0073] Temperature control equipment mainly controls power consumption by adjusting the set temperature. The comfort level of production and life in industrial parks is directly related to temperature, and has the property that power consumption time periods cannot be adjusted or transferred. Its load characteristics are shown in formulas (1-6) and (1-7): (1-6)

[0074] (1-7)

[0075] In the formula, , They are the upper and lower limits of the room temperature setting value respectively.

[0076] (4) Modeling of energy storage load characteristics: The key power load characteristics of this type are shown in formulas (1-8) and (1-9): (1-8)

[0077] (1-9)

[0078] In the formula, is the charge state of the energy storage battery pack at time t; , are the charging and discharging efficiency of the energy storage battery pack respectively; , are the charging and discharging power of the energy storage battery pack respectively; is the time interval; is the maximum capacity of the energy storage battery pack, is the return time of EV; is the mean of the normal distribution; is the standard deviation of the normal distribution.

[0079] The method may also include step S240, i.e., a load demand response potential calculation step, in which the load demand response potential is calculated based on the load characteristic model established in the load characteristic modeling step S230 and the equipment parameters, historical load operation data, and participating demand response operation data collected in step S210.

[0080] In step S240, different load characteristic models may be used to establish different load demand response models, and then the established load demand response models may be used to solve the demand response potential of the multi-load in the industrial park. Optionally, for the sake of clarity, step S240 may also include drawing a demand response potential heat map and a demand response potential curve.

[0081] The following respectively establishes corresponding load demand response models (transferable load demand response model, curtailable load demand response model, temperature-controlled load demand response model and energy storage type load demand response model) for four different load characteristic models (transferable load characteristic model, curtailable load characteristic model, temperature-controlled load characteristic model and energy storage type load characteristic model).

[0082] In the embodiment, for the demand response model of transferable loads: during the demand response period, there are three main situations in which the transferable loads participate in the demand response, namely: 1) there is an operation plan and response, and the load is transferred to the non-response period; 2) there is an operation plan but no response, and the equipment is used as planned during the demand response period; 3) there is no operation plan and the demand response potential is not included. This can avoid the situation where the user does not use electricity in a certain period of time, but uses electricity in this period after the demand response.

[0083] The demand response process for shiftable loads is as follows Figure 3 (where Y means "yes" and N means "no") as shown. During the demand response period, first, an operation state matrix consisting of binary state variables is constructed according to the user's energy consumption status. , 0 means not used, 1 means used, is the number of users. Secondly, construct a response status matrix based on the user's demand response confirmation , 0 means no response, 1 means response. Finally, the transferable load start response time matrix is ​​constructed ,and , is the number of sampling intervals.

[0084] (2-1)

[0085] Based on the uninterruptible property, if Elements in ,but , forming a new matrix .

[0086] Demand response potential for shiftable loads It can be expressed as: (2-2)

[0087] In the embodiment, for the demand response model of curtailable (interruptible) loads: during the demand response period, there are four main situations in which curtailable loads participate in demand response, namely: 1) there is an operation plan and a response, and the electrical equipment is directly shut down, but this situation will greatly affect the user's comfort with electricity; 2) there is an operation plan and a response, and the load is operated at minimum power; 3) there is an operation plan but no response, and the load is still operated at the original power; 4) there is no operation plan, and the demand response potential is not included.

[0088] Demand response processes that can reduce load include Figure 4 (where Y means "yes" and N means "no") as shown. During the demand response period, first, the operation status matrix is ​​constructed according to the user's energy consumption status. ; Secondly, construct a response state matrix based on the user demand response confirmation ; Then, construct the response time matrix that can reduce load ; Finally, calculate the demand response potential for load reduction , as shown in formula (2-3).

[0089] (2-3)

[0090] In the embodiment, for the demand response model of temperature-controlled loads: During the demand response period, there are three main situations in which temperature-controlled loads participate in DR: 1) There is an operation plan and response, the room temperature is controlled within the comfort range, and the equipment control time does not exceed ; 2) There is an operation plan but no response; 3) There is no operation plan and it is not included in the demand response potential.

[0091] The demand response process of temperature control load is as follows: Figure 5 (where Y means "yes" and N means "no") as shown. During the demand response period, first, the operation status matrix is ​​constructed according to the user's energy consumption status. ; Secondly, build a response status matrix based on the user's demand response confirmation ; Then, determine the room temperature of each user Is it within the comfort range? If the initial room temperature is not within the comfort range, wait until the temperature is adjusted to the comfort range before participating in the response; finally, calculate the demand response potential of the temperature control load . The calculation formulas are shown in formulas (2-4) and (2-5).

[0092] (2-4)

[0093] (2-5)

[0094] To ensure the user's comfort and satisfaction with electricity use, the continuous control time shall not exceed the prescribed time. Therefore, if ,but ,in .

[0095] In the formula, is the user response matrix, are the elements in the response matrix.

[0096] When temperature control loads participate in demand response, user satisfaction is mainly reflected in the setting of user comfort temperature range, and the setting range will affect the response potential. Different response potentials can be obtained by setting different comfort temperature ranges.

[0097] In the embodiment, for the energy storage load demand response model: the energy storage load demand response process is as follows: Figure 6 (Y means "yes" and N means "no") as shown. The state of charge when demand response starts Greater than threshold When , it is considered that the user has the ability to participate in demand response, and the total response time is calculated using formula (2-7) to ensure that the user's actual response period is within the demand response period.

[0098] If the user returns after the demand response begins, the EV's return time is considered the start time of the actual participation in the demand response; at the end of the demand response, even if the EV still has the potential to respond, it will no longer continue to respond. The actual start and end time of the EV's participation in the demand response can be expressed as: (2-6)

[0099] (2-7)

[0100] In the formula, Returns the moment for the user; , They are the start and end times when the user actually participates in demand response.

[0101] The demand response potential of EVs The calculation formula can be expressed as: (2-8)

[0102] After the above steps of model building, a complete load type demand response solution model for the industrial park is formed (refer to Figure 7 ).

[0103] After establishing the corresponding load demand response models (transferable load demand response model, reducible load demand response model, temperature-controlled load demand response model and energy storage demand response model), the demand response potential of multiple loads in the industrial park can be solved.

[0104] Optionally, a demand response potential heat map and a demand response potential curve can be plotted, with the results shown in Figure 2. Figures 8a to 8c , Figure 9a to Figure 9b , Figure 10a to Figure 10b ,as well as Figure 11a to Figure 11b shown.

[0105] The method may further include step S250, i.e., a circuit breaker control step, in which a control strategy is generated according to the load demand response potential calculated by the load demand response potential calculation step S240 and the demand response tasks in the industrial park, and the control strategy is sent to the circuit breaker for execution.

[0106] In step S250, various types of equipment can be finely controlled by the intelligent circuit breaker according to the demand response participation of various types of loads. In the present invention, a control strategy can be generated according to the demand response tasks participated by the industrial park and the demand response potential of each type of load, and a control instruction can be issued to the intelligent circuit breaker. According to the issued control instruction, the intelligent circuit breaker can control the controlled equipment, such as start-stop control or power limitation.

[0107] In the embodiment, each intelligent circuit breaker can control the operation of the same type of load equipment, and the control division is as follows: Fig.12 shown.

[0108] In summary, the system and method for industrial park multi-load demand response control according to the embodiment of the present invention comprehensively considers the physical characteristics, load characteristics and response characteristics of the demand-side resources of the industrial park, establishes different load models (for example, models of transferable loads, reducible loads, temperature-controlled loads and energy storage loads); analyzes the demand response operation status and response status of industrial equipment, establishes a demand response model, measures the demand response potential, analyzes the changes in the demand response potential of different types of loads, and performs targeted control on various types of loads in the park. Compared with the load profiling and other control systems in the prior art, the load classification in the system of the present invention is more detailed, the equipment operation and response status are more comprehensive, and it is more conducive to the load regulation of orderly power consumption in the industrial park. Furthermore, the system and method for industrial park multi-load demand response control according to the embodiment of the present invention adopts the method of industrial park multi-load demand response process modeling and potential solution, which has excellent solution performance, not only comprehensively analyzes the energy consumption status of different loads in the industrial park, but also improves the accuracy of demand potential prediction.

[0109] The technical features disclosed in this patent document can be implemented in various configurations or ways, and the disclosed embodiments are only examples of certain implementations. The disclosed embodiments and other embodiments can be modified and enhanced based on the contents disclosed and / or described in this patent document.

Claims

1. A system for responding to and controlling multiple load demands in an industrial park, comprising: The data collection module is configured to collect equipment parameters, historical load operation data, and demand response operation data of various equipment in the industrial park; A load classification module is configured to classify the loads into different load types according to the physical characteristics and regulation characteristics of each type of load; A load characteristic modeling module is configured to establish a load characteristic model corresponding to the load type according to the load type classified by the load classification module; A load demand response potential calculation module is configured to calculate the load demand response potential according to the equipment parameters, the historical load operation data, and the participating demand response operation data through the load characteristic model established by the load characteristic modeling module; as well as The circuit breaker control module is configured to generate a control strategy according to the load demand response potential calculated by the load demand response potential calculation module and the demand response tasks in the industrial park, and send the control strategy to the circuit breaker for execution.

2. The system for industrial park multi-load demand response control according to claim 1, wherein: The physical characteristics and control characteristics include at least one of whether the production time can be interrupted, whether the operating power can be reduced, and whether to participate in demand response. The load type includes at least one of a shiftable load, a reducible load, a temperature-controlled load, and an energy storage load.

3. The system for industrial park multi-load demand response control according to claim 1, wherein: The historical load operation data includes at least one of historical power changes, equipment operating temperature changes, energy storage equipment SOC changes, and equipment operating time.

4. The industrial park multi-load demand response control system according to claim 1, wherein: The equipment parameters include at least one of rated power, energy storage rated capacity, equipment quantity, operating time, rated operating temperature range, and energy storage capacity range.

5. The industrial park multi-load demand response control system according to claim 1, wherein: The control strategy includes start-stop control or power limitation.

6. The industrial park multi-load demand response control system according to claim 2, wherein: The load characteristic model corresponding to the type of the translatable load is established based on the operating power, the continuous operating time and the transferable attribute.

7. The industrial park multi-load demand response control system according to claim 2, wherein: The load characteristic model corresponding to the type of the curtailable load is established based on the equipment operation power regulation constraint.

8. The industrial park multi-load demand response control system according to claim 2, wherein: The load characteristic model corresponding to the type of temperature-controlled load is established based on equipment energy consumption and room temperature and adjustment temperature.

9. The industrial park multi-load demand response control system according to claim 2, wherein: The load characteristic model corresponding to the type of energy storage load is established based on the energy consumption of the energy storage load and the battery charge state, and participates in demand response.

10. A method for multi-load demand response control in an industrial park, comprising: Data collection steps: collecting equipment parameters, historical load operation data, and demand response operation data of various equipment in the industrial park; The load classification step divides the loads into different load types according to their physical characteristics and control characteristics; A load characteristic modeling step, establishing a load characteristic model corresponding to the load type according to the load type classified by the load classification step; A load demand response potential calculation step, calculating the load demand response potential according to the load characteristic model established in the load characteristic modeling step, the equipment parameters, the historical load operation data, and the participating demand response operation data; as well as The circuit breaker control step generates a control strategy based on the load demand response potential calculated by the load demand response potential calculation step according to the demand response tasks in the industrial park and sends the control strategy to the circuit breaker for execution.

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