CN117634783B - Manufacturing enterprise load adjustable capacity analysis method and system based on actual measurement information improvement - Google Patents
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Abstract
The invention relates to an improved manufacturing enterprise load adjustable capacity analysis method and system based on measured information, and belongs to the field of power system demand response. Comprising the following steps: providing actual measurement information by manufacturing enterprises; quantitatively analyzing the process requirements of subjective motivations and production processes of the participation regulation of all production lines of manufacturing enterprises; carrying out time process level distinction on the production line according to the actual production process; classifying each load participating in the load adjustment production line; carrying out constraint range analysis on each load participating in regulation; carrying out electricity utilization characteristic analysis on each load involved in regulation; and outputting the analysis result to form a summary analysis file. On the basis of analyzing and modeling the load adjustable capacity, the invention finds out the key production information closely related to the adjustable capacity, and realizes accurate analysis of the adjustable capacity of enterprises by actually measuring the production equipment related to the enterprises and adding the actually measured information into a theoretical model to form a fusion analysis method.
Description
Technical Field
The invention relates to an improved manufacturing enterprise load adjustable capacity analysis method and system based on measured information, and belongs to the technical field of power system demand response.
Background
Along with the continuous promotion of renewable energy grid-connected scale, the uncertainty of power generation brings a plurality of challenges to a power system. In order to improve the renewable power generation and consumption capacity and the power supply and demand balance capacity of the power grid, the demand response becomes an important means for utilizing load side resources, and plays an indispensable role in constructing a novel power system which is safer, more efficient and economical. The load adjustable capacity is mined, the traditional source follow-up scheduling mode is changed, and the load adjustable capacity is one of key contents of the construction of a novel power system.
Compared with other enterprises, the manufacturing enterprises have the characteristics of high power consumption, planned production, easy control, strong enthusiasm corresponding to participation demands and the like. The manufacturing industry enterprises as the main force of social energy consumption have huge demand response potential, can realize the collection and uploading of a large amount of data of the running state and the edge processing function along with the development of the industrial Internet of things, and have good physical environment for realizing the response of the industrial demands. In addition, some industrial parks also have complex energy systems with multiple energy complements, and the characteristics of multi-party interaction of cold, heat and electricity enable the industrial parks to play a great role in the field of industrial demand response. Under the power market environment, the peak shifting power utilization of manufacturing enterprises is guided correctly, so that the power utilization system not only accords with the economic benefits of the manufacturing enterprises, but also can relieve the dispatching pressure of a power grid in the peak period of power utilization or the large power generation period of energy power, and achieves the purpose of high-efficiency utilization of electric energy.
Currently, the related studies evaluating load-adjustable potential fall into two main categories: one is to statistically analyze the load adjustable potential by data such as load electricity curves; another is to mechanically analyze the load adjustable potential by modeling the response behavior of the user.
The user and the electricity utilization characteristics of the electric equipment are summarized through statistical data such as daily load curves, and qualitative discussion can be conducted on the adjustable potential of the electric equipment. Such studies divide the consumer power usage pattern into a peak-on type, a peak-avoiding type, a high load rate type and a continuous type. By analyzing the proportion of different types of electricity consumption modes in the same industry and combining the production characteristics of the industry, the adjustable potential of the industry can be approximately quantitatively analyzed.
To better utilize the adjustability of the load, accurate quantitative assessment is essential. The method is an important way for realizing quantitative evaluation by constructing a demand response behavior model of a user to calculate the load which can be increased or decreased in a certain time period before and after the user participates in demand response. The implementation method is mainly divided into two types: firstly, from the economic principle, estimating the influence of electricity price change on the response potential of a user through price elasticity coefficient, statistical principle and the like; secondly, starting from the electricity utilization characteristics, the electricity utilization characteristics of the target load are modeled in detail, and the demand response potential of the load is analyzed by taking the adjustable capacity maximization as an optimization target.
In the optimal industrial load management study aimed at minimizing the total electricity costs of industrial users, constraints combine the interdependencies of production flows, links, and other various constraints in the distribution and industrial processes. Research shows that the constraints have different degrees of influence on the industrial load adjustability, which provides a reference for the analysis of the adjustability of the manufacturing enterprises.
In actual production, manufacturing enterprises often have different types of production flows and production characteristics, and under a certain theoretical analysis framework, personalized information needs to be added to complete accurate analysis, so that the control of specific production equipment electricity consumption conditions is not needed. Although the operation state of each device in the enterprise can be obtained by analyzing based on the monitoring of the voltage, the current and the like at the metering gate of the enterprise through non-invasive detection, the algorithm in the aspect is not perfect at present, and the practical application is difficult. Thus, to obtain the actual electricity consumption of the production facility, it is necessary to monitor it separately. However, if the actual measurement information is acquired for all the production equipment, a large number of acquisition devices are required to be additionally arranged, so that the cost is high, and the popularization and application values are not realized. Therefore, it is needed to find out the key information to be actually measured based on theoretical analysis, and add a necessary measuring device to form an analysis method for fusing the theoretical model and the actually measured information, so as to accurately analyze the load adjustable capacity of the manufacturing enterprises.
Disclosure of Invention
In order to solve the problems, the invention provides an improved manufacturing enterprise load adjustable capacity analysis method and system based on measured information, key production information closely related to the adjustable capacity is found out on the basis of analysis modeling of the load adjustable capacity, and the accurate analysis of the enterprise adjustable capacity is realized by measuring the related production equipment of the enterprise and adding the measured information into a theoretical model to form a fusion analysis method.
The technical scheme of the invention is as follows:
An improved manufacturing enterprise load adjustable capacity analysis method based on measured information comprises the following steps:
(1) The manufacturing enterprises provide actual measurement information about subjective motivations involved in regulation and process requirements of the production flow;
(2) Based on the measured information of four dimensions, carrying out quantitative analysis on subjective motivations of each production line of a manufacturing enterprise to participate in regulation and the technological requirements of production flows, and calculating scores through weights to evaluate whether each production line has feasibility to participate in load regulation; if the score is higher than a certain standard, the feasibility of the production line in participating in load adjustment is shown, and the next step can be performed;
(3) Carrying out time process level distinction on related production lines participating in load adjustment according to the actual production process;
(4) Dividing and numbering the loads of the related production lines participating in load adjustment into three types;
(5) Carrying out constraint range analysis on each load participating in regulation;
(6) Carrying out electricity utilization characteristic analysis on each load involved in regulation;
(7) And outputting an analysis result to form a summary analysis file containing various actual measurement information.
According to the invention, according to the feasibility of participating in adjustment of each load of an enterprise in sequence by utilizing the fusion analysis mode of the actual measurement information and the theoretical model from the step (1) to the step (6), the coupling factors in the production process can adjust the key actual measurement information required by five aspects of load classification, adjustment constraint range and load electricity utilization characteristics, and a summary analysis file containing each item of actual measurement information is formed and output.
Preferably, the load adjustable capacity analysis of the manufacturing enterprises is closely related to key information of the production flow and equipment work. Accurate data of key information is obtained through actual measurement of enterprise information, and accuracy of load adjustable capacity analysis is greatly improved. Mainly relates to the following first-level indexes:
A. Subjective motivations for participation in regulation, namely, importance and willingness of enterprises to participate in response regulation. In order to quantitatively show the enthusiasm of enterprises for participating in load regulation, INITIATIVE (I) is used for representing the strength degree of motivation, and the secondary indexes to be measured mainly comprise:
The proportion I 1 of renewable energy to total energy consumption is generally that the higher the renewable energy proportion in the energy consumption of an enterprise, the stronger the willingness of the enterprise to use the renewable energy is, the stronger the capability of coping with power supply fluctuation is, and the basis of participating in load regulation is provided;
The degree I 2 of reducing the electricity cost brought by the past participation load regulation for enterprises is investigated, the electricity cost saved by the past participation load regulation of the enterprises is investigated, and if the past time of the enterprises saves more electricity cost when the enterprises participate in the load regulation, the enthusiasm of the enterprises to participate in the load regulation is probably higher;
The investment I 3 for participating in load regulation mainly comprises the investment of enterprises in the aspects of Energy Management Systems (EMS), intelligent electric meters, sensors, speed regulators, frequency modulators and other load control equipment, and the greater the investment amount of the enterprises in the aspect is, the higher the importance of the enterprises in participating in the load regulation is represented;
The past load regulation participation rate I 4 of the enterprise is recorded, and the frequency and the duration of the past participation of the enterprise in the load regulation are recorded, so that the enthusiasm of the enterprise in the aspect of the load regulation is measured; if enterprises can participate in load regulation frequently and for a long enough time, the management level of the enterprises participating in load regulation is more perfect and the technical support is thicker;
the enterprise's requirements for electrical comfort and power reliability I 5, the enterprise's pursuit of high electrical comfort and power reliability may lead to a reduced willingness to participate in load regulation.
Such information includes more economic and subjective indicators, which mainly characterize the aggressiveness of enterprises to participate in load regulation, and should be considered more as precondition factors. Practical methods suitable for such information include, but are not limited to: a supervision department or an authorized related institution researches and formulates a questionnaire and fills out the questionnaire by an enterprise; requesting the enterprise to present a corresponding statistical form by a supervision department; the ability level of enterprises to participate in load regulation and the specific situation of the former participation in load regulation are investigated in the field by the supervision department.
B. The process requirements of the production flow include a production process continuity requirement, a product quality strictness requirement and a power adjustment safety requirement, in order to quantitatively display constraints from the aspect of enterprise process requirements, requirement (R) is used for representing the influence of the enterprise process requirements on the adjustability, and the secondary indexes to be measured mainly include:
The production process continuity requirement r 1, for an actual product line, some process continuity requirements may be associated with the enterprise's continuity requirement for load power, thereby creating a hard limit on load adjustability. Therefore, the method is required to measure the requirements of enterprises on the continuity of the production process.
The product quality stringent requirements r 2, for practical product lines, may lead to product quality degradation in certain lines, which may be of concern to some businesses. Therefore, the quality of the product is required to be strictly measured by enterprises.
The power regulation safety requirement r 3, especially for some loads with constant power requirements, may cause unacceptable unsafe factors for enterprises in actual production. Therefore, the quality of the product is required to be strictly measured by enterprises.
The coupling factor value r 4 of the production process.
Methods suitable for such information include, but are not limited to: requesting enterprises to provide summary reports on related conditions of own production flows by a supervision department; as determined by field trials or simulation by regulatory authorities or by authorized authorities.
C. The physical characteristics of the equipment represent the power consumption adjusting capacity of the electric equipment and the power consumption matching capacity of the electric equipment for scheduling start and stop. The influence of the physical characteristics of the equipment on the adjustability is represented by SPECIFICITY (S), and the secondary indexes to be measured mainly comprise: the maximum regulation range of the power of the equipment s 1, the regulation response time s 2, the power regulation factor s 3, the single regulation duration range s 4, the maximum interruption times s 5 and the regulation error coefficient s 6.
D. The power consumption characteristics of the device. Key information related to analysis of adjustable capacity in a power consumption daily load curve of the equipment is represented by CHARACTERISTIC (C), and secondary indexes to be measured mainly comprise: unit adjustment period c 1, peak power c 2, valley power c 3, peak-to-valley difference c 4, daily average power c 5, run time c 6, peak-to-peak period c 7, load fluctuation (standard deviation) c 8.
Preferably, in the step (3), in the time-transferable load adjustable capacity analysis, judging whether the production process belongs to an independent process, a sequential process, an interlocking process or a parallel process according to a production process flow model, wherein the transferable load in the independent process can be scheduled at any time from T 1,j to T 2,j, the sequential process, the interlocking process and the parallel process are all dependent processes, the transferable load in the sequential process can be carried out as a k process after the j process is finished, the interlocking process is a special sequential process, a fixed time interval exists between the opening of the process j and the process k, no time interval exists between the opening of the j process and the k process in the parallel process, and the j process and the k process are parallel;
the expression of the independent process is as shown in the formulas (1) to (4):
Wherein t and τ both represent time, and are used for representing the t or τ minimum adjustment period in the scheduling window, u j,t is a scheduling instruction (1 ON) for transferring power from the process at time j to other time j; v j,t is the scheduling instruction (1 OFF) of the transition power of other time when the process receives the t time j; u j represents the time required for the process at time j to transfer power to other times under normal conditions; d j represents the time required for the process to receive the transfer power at time j under normal conditions; sj,t A state (1 ON,0 OFF) indicating whether the process at time j is receiving power transferred at other times or transferring power to other times;
In the above formula, the formula (1) and the formula (2) prescribe the minimum power transfer time and the minimum power receiving time of the process; equation (3) indicates that the process can only be in one of two states of transferring power to other time or receiving power transferred at other time at the same time; equation (4) shows the relationship between the previous time and the state of the previous time;
for the sequential process, the interlocking process and the parallel process, a parameter matrix DP j,k is defined, and the three processes are distinguished by the difference of assignment;
the expression of the sequential process is as shown in the formulas (5) to (9):
Wherein w j,t is the total number of scheduling instructions for transferring power from the process at time j from time 1 to time t to other times, u j,τ is the total number of scheduling instructions for transferring power from the process at time j to other times, and r j is the total number of scheduling instructions for transferring power from the process at time j to other times;
The formula (5) is a definition formula of w j,t, and formulas (6) and (7) represent that a k process runs after a j process; since the above three equations do not require process j to run for the same number of time intervals as process k, so DP j,k =2 is distinguished from other processes and this sequential process is distinguished from other processes by (8) (9) two equations;
For the interlocking process, GP is defined as a parameter matrix containing required time intervals, and the representation mode of the interlocking process is shown as formulas (10) - (11)
GP j,k represents the number of minimum adjustment periods spaced between the start of the j-process and the start of the k-process, i.e., the number of times spaced between the start of the j-and k-processes, for each element in the matrix GP j,k;
the parallel process is represented by the following formula (12):
Equation (12) indicates that there is no time interval for both j and k processes to be on.
Preferably, by analyzing and summarizing the related theoretical method, the load of the power system is divided into three types of interruptible load, power adjustable load and time transferable load according to the regulation characteristics, and modeling is performed respectively. The modeling in the invention is based on the premise that enterprises attach importance to demand response, and the modeling has response management capability, the production process allows equipment to perform interruption and adjustment operation required by the model, and the electric equipment has the capability of performing start-stop operation in cooperation with a scheduling instruction.
Step (4) includes establishing an adjustable load classification model and classifying as interruptible load, power adjustable load, and time transferable load according to the adjustable load classification model.
Preferably, the step (4) specifically comprises:
4.1: the adjustable load classification model is:
① An interruptible load. The interruptible load refers to a load which can carry out an interrupt operation on equipment according to the operation condition of the equipment, and the load can suspend the power utilization according to the operation requirement of an electric power system, thereby reducing the power utilization requirement of the system.
The mathematical model is:
Wherein the method comprises the steps of The operation power of the equipment at the time t; /(I)A power regulation target value of the interruptible load for the device at time t; /(I)As an interrupt signal, when the value is 0, the device normally operates, and when the value is 1, the device as an interruptible load stops operating;
The interruptible load has a single interrupt duration constraint:
the interruptible load has an interrupt count constraint:
Wherein N i is the maximum interruption times of the interruptible load i in the scheduling period T;
② A power adjustable load. The power adjustable load refers to a load which can randomly adjust the power consumption of equipment within the maximum adjustment range of the equipment, and the load can be set to different power consumption requirements in different time periods.
The mathematical model is
Wherein P t ADL is the running power of the device at the time t; A power regulation target value of a power adjustable load of the equipment at the time t; k ad is a power adjustment factor, which is a constant less than 1 that the device itself schedules instructions;
③ The time-transferable load refers to a load which has the characteristic that the total amount of equipment electricity consumption is not variable but the time interval distribution is adjustable and can be optimally distributed according to the running condition of a system in a certain time, and the load can rearrange the electricity consumption requirement to different time intervals. Such loads may be demands with a substantially constant total power consumption over a period of time (e.g., cold storage users) or may be an integral shift in the power usage profile (e.g., production line production ahead or behind).
The mathematical model is
P t TSL is the total power transferred by the device at time T, and equation (18) indicates that the total power consumption of the device is unchanged during period T, but the load translates before and after time.
Epsilon set represents an upper limit value of an adjustment error coefficient for judging whether the load adjustable capacity reaches the standard on a time scale, the strictness degree of a judgment standard can be adjusted by adjusting epsilon set according to the actual conditions of different industrial production lines, and P av represents daily average power;
when the condition of the above formula (19) is satisfied, the transfer amount of the power is regarded as approximately 0.
4.2: Judging whether the load adjustable capacity meets the standard
Setting a response time upper limit value delta set,t and an adjustment error coefficient upper limit value epsilon set, inputting an enterprise actual measurement response time delta t and an actual measurement adjustment error coefficient epsilon, and when delta t≤δset,t and epsilon is less than or equal to epsilon set, enabling the load adjustable capacity to reach the standard, and performing the following steps;
4.3: if the load is interruptible in accordance with the adjustment instruction and satisfies equation (13), it is classified as an interruptible load and is numbered α i in turn;
4.4: if the load can change power according to the regulation command and satisfies the theoretical formula ((17), it can be classified as a power-adjustable load and is numbered β i in turn;
4.5: if the load is power transferable in accordance with the regulation command and satisfies the formulas ((18), (19), it is classified as a time transferable load and is denoted by the symbol gamma i in turn;
4.6: and summarizing relevant actual measurement information corresponding to each load.
Preferably, the constraint range analysis process in the step (5) is as follows:
① Power tunable capacity constraint: from the point of view of the physical characteristics of the devices, there is a range in which adjustable power is allowed for each device, i.e. the so-called upper and lower limits of power adjustment. The expression for the power tunable capacity is as follows:
P t is the power of the device at time t, P min is the lower limit of power regulation, and P max is the upper limit of power regulation;
② Response time: the regulation of any load is not possible to be completed instantaneously, but a relatively short response procedure is required, the response time describing this procedure being defined as the time between the moment when the regulation command starts to act and the moment when the load reaches the target power, if the load is able to respond quickly to the regulation command, it is indicated that the device is more capable of participating in the regulation.
δt＝treach-tstart (21)
Wherein delta t is response time, t start is adjustment starting time, t reach is time when load power reaches the target power error range for the first time, which is also called up-to-standard time, and when epsilon set is small, adjustment up-to-standard time t reach is time when load power reaches the set value;
Pset,t(1-εset)≤Pt≤Pset,t(1+εset) (22)
δt≤δset,t (23)
Delta set,t is the upper limit value of the response time, which is a judgment value which can be set manually in combination with the specific situation of an enterprise, and when the response time is shorter than the response time, the influence of the transition period of the power change in each adjustment on the load adjustable capacity analysis can be considered to be negligible; epsilon set is the upper limit value of the adjustment error coefficient, and P set,t is the set value of the power of the equipment at the time t;
③ Adjusting error coefficients: the power of any load cannot be absolutely constant, and the adjustment error coefficient is defined as the relative magnitude of the difference between the actual average power and the set power after the adjustment reaches the standard. If the error coefficient in a unit adjustment period is smaller than the artificially set judgment value epsilon set, the adjustment can be regarded as reaching the set target power very accurately, and the influence on the next step of adjustment capability analysis is negligible.
ε≤εset (25)
P set,t denotes the set point for the power of the device at time t;
④ Maximum number of interruptable times: the maximum interruptible number refers to the maximum number of times a system or device can be safely interrupted and restarted within a period of time, and the index affects the stability and reliability of the system or device, and its function is shown as N i in formula (16).
⑤ Single interrupt duration range: a single interrupt duration range refers to the maximum time a system or device can safely cease operating during an interrupt; the variable is related to the design of the system or device. In this patent, the lower and upper limits of the range are denoted by T i,min and T i,max, as shown in formulas (14) (15).
⑥ Power adjustment factor: the power adjustment factor is a constant less than 1, which is a scheduling instruction by the characteristics of the device itself, and its magnitude affects the power adjustment range of the power adjustable load. The specific effect thereof is shown in formula (17).
The electricity utilization characteristic analysis process of the step (6) comprises the following steps:
① Unit adjustment period: the shortest time interval in the adjustment window, which is not subdivided, can be used as a time measurement unit for analyzing the adjustment operation. Generally, if an adjustment window is set to 24 hours, and factors such as the basis and cost of the prior art are comprehensively considered, the minimum period of the adjustment response can be set to 10 minutes, 15 minutes, 30 minutes, one hour, two hours, and the like. The shorter the period, the more accurate the load is to the time of execution of the adjustment instruction, and the more sensitive the response. The unit adjustment period is denoted by Δt;
② Daily average power P av: mean power output of the device in one day is improved, load capacity and load stability of the device are correspondingly improved, influence of power fluctuation on a system can be reduced, and adjustability of the system is improved. The expression of the daily average power is as follows:
③ Peak power P peak: means that the highest power reached by the load in a peak of electricity consumption, and the difference of specific characteristics of the load can cause one or more peak time t peak in one day;
④ Valley power P valley: means that the load achieves the lowest power in a low electricity consumption valley, and the difference of specific characteristics of the load can cause one or more valley time points t valley to exist in one day;
⑤ Peak-valley difference: i.e. the difference between the peak power and the valley power, the larger the peak-to-valley difference of the device, representing a larger load change, the higher the demand for adjustability of the device. The definition formula is as follows:
V＝Ppeak-Pvalley (27)
⑥ Run time: run time is the time that a device spends in the process of running. The longer the run time, the longer the transferable, interruptible and power adjustable time, the more flexible the adjustment. The running time T on is expressed as the difference between the equipment shutdown time T turnoff and the equipment startup time T turnon in one day;
⑦ Peak-to-peak time period T dif: refers to the time difference between the peak time of the typical power consumption curve and the peak time of the system typical power consumption curve. The larger the index value, the smaller the user contribution to the system peak, and the smaller the transferable potential.
Tdif＝|tpeak-tvalley| (28)
⑧ Load fluctuation: load fluctuation refers to the degree of change in load over a certain time frame. The greater the fluctuation of the load, the faster the adjustment speed of the equipment required, and the higher the load adjustability requirement. Load ripple can be expressed by standard deviation of device power
Table 1 below shows the correspondence between the measured indexes and the theoretical model:
TABLE 1 correspondence table of actual measurement index and theoretical model
The manufacturing enterprise load adjustable capacity analysis system based on the actual measurement information improvement is used for realizing the manufacturing enterprise load adjustable capacity analysis method based on the actual measurement information improvement, and comprises an actual measurement information acquisition module, a judgment module, a fusion analysis module and an output module;
The actual measurement information acquisition module is used for acquiring actual measurement information of subjective motivation involved in regulation and process requirements of a production flow, the judging module is used for judging whether each production line has feasibility involved in load regulation, and the fusion analysis module is used for distinguishing a time process layer of the production line, classifying and numbering each load, and carrying out constraint range analysis and electricity utilization characteristic analysis on each load according to an actual production process; the output module is used for outputting the summarized analysis files.
The invention is not exhaustive and can be seen in the prior art.
The beneficial effects of the invention are as follows:
(1) By analyzing several production flows of a manufacturing enterprise, the invention determines key information influencing the analysis of the adjustable capacity of the manufacturing enterprise, can guide the enterprise to improve the adjustable capacity through improving the production flow of the enterprise and improving the equipment, and has certain help to the enterprise to improve the economic benefit of the enterprise.
(2) The invention establishes a manufacturing enterprise load adjustable capacity analysis model with universality and considering production flow and equipment characteristics, and perfects an analysis method of the load adjustable capacity.
(3) The invention determines factors closely related to production practice in a theoretical analysis model, determines information through actual measurement, and realizes more accurate load adjustable capacity analysis of manufacturing enterprises based on fusion of actual measurement information and theoretical analysis.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application.
FIG. 1 is a flow chart of a method for improved manufacturing enterprise load adjustability analysis based on measured information in accordance with one embodiment;
FIG. 2 is a flow chart of load classification according to an embodiment;
Figure 3 is a schematic diagram of the load that can be engaged in regulation in a pine park production process.
Detailed Description
In order to better understand the technical solutions in the present specification, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the implementation of the present specification, but not limited thereto, and the present invention is not fully described and is according to the conventional technology in the art.
Example 1
An improved manufacturing enterprise load adjustable capacity analysis method based on measured information, as shown in fig. 1-2, comprises the following steps:
(1) The manufacturing enterprises provide actual measurement information about subjective motivations involved in regulation and process requirements of the production flow;
The subjective motivations of participation regulation include the proportion of renewable energy sources to total energy consumption, the degree of reduction of electricity cost brought by the past participation load regulation to enterprises, investment for participation load regulation, the past participation rate of the enterprises for load regulation and the requirements of the enterprises on electricity comfort and power supply reliability;
The process requirements of the production flow include production process continuity requirements, product quality stringency requirements and power adjustment safety requirements.
(2) Based on the measured information of four dimensions, carrying out quantitative analysis on subjective motivations of each production line of a manufacturing enterprise to participate in regulation and the technological requirements of production flows, and calculating scores through weights to evaluate whether each production line has feasibility to participate in load regulation; if the score is higher than a certain standard, the feasibility of the production line in participating in load adjustment is shown, and the next step can be performed;
(3) Carrying out time process level distinction on related production lines participating in load adjustment according to the actual production process;
In the time-transferable load adjustable capacity analysis, judging whether a production process belongs to an independent process, a sequential process, an interlocking process or a parallel process according to a production process flow model, wherein transferable loads in the independent process can be scheduled at any time from T 1,j to T 2,j, the sequential process, the interlocking process and the parallel process are all dependent processes, the transferable loads in the sequential process can be carried out in a k process after a j process is finished, the interlocking process is a special sequential process, a fixed time interval exists between the opening of the process j and the opening of the process k, no time interval exists between the opening of the j process and the k process in the parallel process, and the j process and the k process are parallel;
the expression of the independent process is as shown in the formulas (1) to (4):
Wherein t and τ both represent time, and are used for representing the t or τ minimum adjustment period in the scheduling window, u j,t is a scheduling instruction (1 ON) for transferring power from the process at time j to other time j; v j,t is the scheduling instruction (1 OFF) of the transition power of other time when the process receives the t time j; u j represents the time required for the process at time j to transfer power to other times under normal conditions; d j represents the time required for the process to receive the transfer power at time j under normal conditions; s j,t denotes a state (1 on,0 off) in which the process at time j is to receive the power transferred at other times or to transfer the power to other times;
In the above formula, the formula (1) and the formula (2) prescribe the minimum power transfer time and the minimum power receiving time of the process; equation (3) indicates that the process can only be in one of two states of transferring power to other time or receiving power transferred at other time at the same time; equation (4) shows the relationship between the previous time and the state of the previous time;
for the sequential process, the interlocking process and the parallel process, a parameter matrix DP j,k is defined, and the three processes are distinguished by the difference of assignment;
the expression of the sequential process is as shown in the formulas (5) to (9):
Wherein w j,t is the total number of scheduling instructions for transferring power from the process at time j from time 1 to time t to other times, u j,τ is the total number of scheduling instructions for transferring power from the process at time j to other times, and r j is the total number of scheduling instructions for transferring power from the process at time j to other times;
The formula (5) is a definition formula of w j,t, and formulas (6) and (7) represent that a k process runs after a j process; since the above three equations do not require process j to run for the same number of time intervals as process k, so DP j,k =2 is distinguished from other processes and this sequential process is distinguished from other processes by (8) (9) two equations;
For the interlocking process, GP is defined as a parameter matrix containing required time intervals, and the representation mode of the interlocking process is shown as formulas (10) - (11)
GP j,k represents the number of minimum adjustment periods spaced between the start of the j-process and the start of the k-process, i.e., the number of times spaced between the start of the j-and k-processes, for each element in the matrix GP j,k;
the parallel process is represented by the following formula (12):
Equation (12) indicates that there is no time interval for both j and k processes to be on.
(4) Dividing and numbering the loads of the related production lines participating in load adjustment into three types;
step (4) includes establishing an adjustable load classification model and classifying as interruptible load, power adjustable load, and time transferable load according to the adjustable load classification model.
4.1: The adjustable load classification model is:
① The mathematical model of the interruptible load is:
Wherein the method comprises the steps of The operation power of the equipment at the time t; /(I)A power regulation target value of the interruptible load for the device at time t; /(I)As an interrupt signal, when the value is 0, the device normally operates, and when the value is 1, the device as an interruptible load stops operating;
The interruptible load has a single interrupt duration constraint:
the interruptible load has an interrupt count constraint:
Wherein N i is the maximum interruption times of the interruptible load i in the scheduling period T;
② The mathematical model of the power adjustable load is that
Wherein P t ADL is the running power of the device at the time t; A power regulation target value of a power adjustable load of the equipment at the time t; k ad is a power adjustment factor, which is a constant less than 1 that the device itself schedules instructions;
③ The time-transferable load refers to the characteristic that the electricity consumption of equipment is invariable in total quantity but adjustable in time interval distribution, and the mathematical model is that
P t TSL is the total power transferred by the device at time T, and equation (18) indicates that the total power consumption of the device is unchanged during period T, but the load translates before and after time.
Epsilon set represents an upper limit value of an adjustment error coefficient for a person to determine whether the load adjustability meets the standard on a time scale, and P av represents daily average power;
when the condition of the above formula (19) is satisfied, the transfer amount of the power is regarded as approximately 0.
4.2: Judging whether the load adjustable capacity meets the standard
Setting a response time upper limit value delta set,t and an adjustment error coefficient upper limit value epsilon set, inputting an enterprise actual measurement response time delta t and an actual measurement adjustment error coefficient epsilon, and when delta t≤δset,t and epsilon is less than or equal to epsilon set, enabling the load adjustable capacity to reach the standard, and performing the following steps;
4.3: if the load is interruptible in accordance with the adjustment instruction and satisfies equation (13), it is classified as an interruptible load and is numbered α i in turn;
4.4: if the load can change power according to the regulation command and satisfies the theoretical formula ((17), it can be classified as a power-adjustable load and is numbered β i in turn;
4.5: if the load is power transferable in accordance with the regulation command and satisfies the formulas ((18), (19), it is classified as a time transferable load and is denoted by the symbol gamma i in turn;
4.6: and summarizing relevant actual measurement information corresponding to each load.
(5) Carrying out constraint range analysis on each load participating in regulation;
① Power tunable capacity constraint: from the point of view of the physical characteristics of the devices, there is a range in which adjustable power is allowed for each device, i.e. the so-called upper and lower limits of power adjustment. The expression for the power tunable capacity is as follows:
P t is the power of the device at time t, P min is the lower limit of power regulation, and P max is the upper limit of power regulation;
② Response time: the regulation of any load is not possible to be completed instantaneously, but a relatively short response procedure is required, the response time describing this procedure being defined as the time between the moment when the regulation command starts to act and the moment when the load reaches the target power, if the load is able to respond quickly to the regulation command, it is indicated that the device is more capable of participating in the regulation.
δt＝treach-tstart (21)
Wherein delta t is response time, t start is adjustment starting time, t reach is time when load power reaches the target power error range for the first time, which is also called up-to-standard time, and when epsilon set is small, adjustment up-to-standard time t reach is time when load power reaches the set value;
Pset,t(1-εset)≤Pt≤Pset,t(1+εset) (22)
δt≤δset,t (23)
Delta set,t is the upper limit value of the response time, which is a judgment value which can be set manually in combination with the specific situation of an enterprise, and when the response time is shorter than the response time, the influence of the transition period of the power change in each adjustment on the load adjustable capacity analysis can be considered to be negligible; epsilon set is the upper limit value of the adjustment error coefficient, and P set,t is the set value of the power of the equipment at the time t;
③ Adjusting error coefficients: the power of any load cannot be absolutely constant, and the adjustment error coefficient is defined as the relative magnitude of the difference between the actual average power and the set power after the adjustment reaches the standard. If the error coefficient in a unit adjustment period is smaller than the artificially set judgment value epsilon set, the adjustment can be regarded as reaching the set target power very accurately, and the influence on the next step of adjustment capability analysis is negligible.
ε≤εset (25)
P set,t denotes the set point for the power of the device at time t;
④ Maximum number of interruptable times: the maximum interruptible number refers to the maximum number of times a system or device can be safely interrupted and restarted within a period of time, and the index affects the stability and reliability of the system or device, and its function is shown as N i in formula (16).
⑤ Single interrupt duration range: a single interrupt duration range refers to the maximum time a system or device can safely cease operating during an interrupt; the variable is related to the design of the system or device. In this patent, the lower and upper limits of the range are denoted by T i,min and T i,max, as shown in formulas (14) (15).
⑥ Power adjustment factor: the power adjustment factor is a constant less than 1, which is a scheduling instruction by the characteristics of the device itself, and its magnitude affects the power adjustment range of the power adjustable load. The specific effect thereof is shown in formula (17).
(6) Carrying out electricity utilization characteristic analysis on each load involved in regulation;
① Unit adjustment period: the shortest time interval in the adjustment window, which is not subdivided, can be used as a time measurement unit for analyzing the adjustment operation. Generally, if an adjustment window is set to 24 hours, and factors such as the basis and cost of the prior art are comprehensively considered, the minimum period of the adjustment response can be set to 10 minutes, 15 minutes, 30 minutes, one hour, two hours, and the like. The shorter the period, the more accurate the load is to the time of execution of the adjustment instruction, and the more sensitive the response. The unit adjustment period is denoted by Δt;
② Daily average power P av: mean power output of the device in one day is improved, load capacity and load stability of the device are correspondingly improved, influence of power fluctuation on a system can be reduced, and adjustability of the system is improved. The expression of the daily average power is as follows:
③ Peak power P peak: means that the highest power reached by the load in a peak of electricity consumption, and the difference of specific characteristics of the load can cause one or more peak time t peak in one day;
④ Valley power P valley: means that the load achieves the lowest power in a low electricity consumption valley, and the difference of specific characteristics of the load can cause one or more valley time points t valley to exist in one day;
⑤ Peak-valley difference: i.e. the difference between the peak power and the valley power, the larger the peak-to-valley difference of the device, representing a larger load change, the higher the demand for adjustability of the device. The definition formula is as follows:
V＝Ppeak-Pvalley (27)
⑥ Run time: run time is the time that a device spends in the process of running. The longer the run time, the longer the transferable, interruptible and power adjustable time, the more flexible the adjustment. The running time T on is expressed as the difference between the equipment shutdown time T turnoff and the equipment startup time T turnon in one day;
⑦ Peak-to-peak time period T dif: refers to the time difference between the peak time of the typical power consumption curve and the peak time of the system typical power consumption curve. The larger the index value, the smaller the user contribution to the system peak, and the smaller the transferable potential.
Tdif＝|tpeak-tvalley| (28)
⑧ Load fluctuation: load fluctuation refers to the degree of change in load over a certain time frame. The greater the fluctuation of the load, the faster the adjustment speed of the equipment required, and the higher the load adjustability requirement. Load ripple can be expressed by standard deviation of device power
(7) And outputting an analysis result to form a summary analysis file containing various actual measurement information.
Example 2
The invention discloses an improved manufacturing enterprise load adjustable capacity analysis method based on actual measurement information, which is implemented by means of an example of an industrial park in Tangshan city of Hebei province. According to the actual situation of the down industry park of Tangshan city, pink.
(1) The manufacturing enterprises provide specific actual measurement information corresponding to the theoretical analysis model by utilizing corresponding actual measurement modes;
(2) Based on the measured information of four dimensions, carrying out quantitative analysis on subjective motivations of each production line of a manufacturing enterprise to participate in regulation and the technological requirements of production flows, and calculating scores through weights to evaluate whether each production line has feasibility to participate in load regulation;
The method integrates influencing factors of the feasibility of the participation in the load regulation in theoretical analysis, quantifies the motivation of enterprises to participate in the regulation and the technological requirements of production, and evaluates whether the enterprises have the feasibility of participating in the regulation. Subjective quantitative evaluation is carried out on actual measurement information in the process requirements of enterprise participation motivation and production by adopting a subjective weighting method. The specific idea is as follows:
eight production lines of the loose park are selected, and eight subjective actual measurement indexes are scored through a subjective weighting method, wherein the scoring scores are as follows:
Table 2: marking table for subjective indexes of production line of loose park
As can be seen from the table, the production lines such as the precise machine tool production line and the semiconductor production line have lower tolerance on the related indexes of the production process requirements due to the high precision, and the product lines such as the consumable product production line and the sheet metal production line have higher relative tolerance on the production lines with lower precision requirements.
For the selection of the loose park, from the perspective of promoting green electricity consumption and bearing social responsibility, a weighting method for emphasizing the social responsibility is adopted, and the following table is the weight of each index.
Table 3: weighting of subjective indexes
The weighted scores of the production lines can be obtained by combining the scores of the indexes of the production lines obtained in the first step of the example according to the weights in the table, and the weighted scores of the production lines are shown in the following table:
Table 4: adjustable capability weighting score for production line of loose park
As can be readily seen from the above table, the production lines such as a precision machine tool production line, a chemical production line, an electronic product production line, and a semiconductor production line have low scores because of the continuous production process and higher accuracy.
In this case, the scores of the precision machine tool line, the chemical industry line, the electronic product line, and the semiconductor line are too low, and thus the conditions for participation in adjustment are not provided. Finally, the sheet metal production line, the air compression system, the consumable product production line and the paint dipping production line are selected to participate in adjustment, and the next analysis is performed.
(3) Carrying out time process level distinction on related production lines participating in load adjustment according to the actual production process;
Sheet metal production lines, paint dipping production lines, consumable production lines, air compression systems in loose industrial parks are selected as typical load adjustment production lines. For the four production lines and the corresponding loads thereof, the time coupling factors are mainly measured. The value of the correlation value DP j,k in the DP matrix in the theoretical model corresponding to the production process flow.
The sheet metal production line performs sheet metal processing on metal through equipment such as a shearing machine, a bending machine, a punching machine and the like. The sequential processing of a plurality of parts to be processed on a sheet metal production line is regarded as a dynamic overall process, and the operation of the shearing machine, the bending machine and the punching machine needs to be started simultaneously, which means that the relation of the parallel processes among the three loads of the shearing machine, the bending machine and the punching machine is shown, and the relevant value in the DP matrix of the three loads can be set to be 4 in substitution model analysis.
The paint dipping production line mainly carries out paint dipping and drying on workpieces through equipment such as a vacuum paint dipping machine, an electric oven and the like. Regarding the paint dipping production line as a dynamic whole process, the operation of the vacuum paint dipping machine and the electric oven needs to be started simultaneously, which means that the vacuum paint dipping machine and the electric oven are in parallel process relation, and the relevant value in the DP matrix can be set to be 4 in substitution model analysis.
The consumable product production line performs machining treatment on the workpiece by using equipment such as a machine tool, a grinding machine and the like. Regarding the consumable product line as a dynamic whole process, the operation of the machine tool and the grinder needs to be started simultaneously, which means that the relation between the two loads of the machine tool and the grinder is a parallel process, and the correlation value in the DP matrix of the consumable product line can be set to be 4 in substitution model analysis.
The air compression system mainly compresses air through air compressor equipment, cools and separates out moisture in the air through cold dryer equipment, and carries out drying treatment on the air, finally obtains low-temperature dry compressed air. The compression and drying rate of air do not need to be consistent at any time, the degree of freedom of start and stop is high, and the two loads of the air compressor and the cold dryer are independent processes, and the relevant value in the DP matrix can be set to be 2 in substitution model analysis.
Meanwhile, because the four production lines do not form the necessary sequence in the process flow and do not affect each other, the loads of the four production lines are in independent process relation with each other, and the correlation value in the DP matrix can be set to be 2 in substitution model analysis.
(4) According to the flow shown in fig. 2, the adjustable load classification analysis is performed on the enterprise in combination with the theoretical model and the measured data of the adjustable load classification. In the practical case of the loose park, the unit adjustment period Δt=1 hour, and the response time upper limit δ set,t =5 minutes is set. The upper limit value epsilon set of the regulating error coefficient=0.02 is set, namely that the average power per hour of the load which is regulated in response to the regulating period is not more than 2% different from the regulated set power value, and the regulating requirement is met. The method is characterized in that the relevant real measurement delta t and epsilon of the four production lines in the loose park, which are nine loads involved in adjustment, are obtained through a field test or simulation method, all meet the relevant constraint of a theoretical model, and all load devices are provided with physical characteristics sufficient to participate in adjustment.
The sheet metal production line has lower requirements on production continuity, and three loads of a shearing machine, a bending machine and a punching machine which are arranged in the sheet metal production line meet a theoretical model of an interruptible load, can be used as an interruptible load execution demand response, can respectively provide load interruption amounts of 31KW,16KW and 66KW, and is shut down in cooperation with a power grid dispatching instruction. In applications where relevant, a shearer, a bender, a punch in turn is labeled as load α 1,α2,α3.
For the air compression system, the working pressure of the air compressor and the cooling temperature of the cold dryer can be properly adjusted on the premise of not affecting the quality of related products so as to change the power consumption of the equipment. Therefore, the air compressor device and the cold dryer device can be used as power-adjustable load execution demand response, and respectively take 10% of rated power of the air compressor device and the cold dryer device, namely 31KW and 1.5KW, as up-and-down adjustment spaces of the power consumption of the air compressor device and the cold dryer device. In the application, the air compressor and the cold dryer can be sequentially marked as a load beta 1,β2 if relevant requirements are met.
The change of the electric power of the dip coating production line along with time is large, the highest electric power can reach 300KW in the working period, and the lowest electric power can reach 100KW. Under the premise of not influencing the completion condition of the orders on the same day, production plans of different time periods on the same day can be exchanged to realize the time transfer of the power consumption. The power consumption of the consumable product production line has larger change along with time, the highest power consumption can reach 260KW throughout the day, and the lowest power consumption can reach 100KW. Under the premise of not influencing the completion condition of the orders on the same day, production plans of different time periods on the same day can be exchanged to realize the time transfer of the power consumption. Thus, the loose park paint line and the consumable line can perform demand response as a time-transferable load.
(5) Carrying out constraint range analysis on each load participating in regulation;
And combining the theoretical model and the measured data of the adjustable capacity limiting factor to analyze the adjustable limiting factor of the enterprise. Since the loose park does not provide the theoretical upper power limit for the relevant load, the theoretical lower power limit for all relevant loads is set to 0, and the theoretical upper limit is 1.5 times the peak power of the load curve of the previous day.
(6) Carrying out electricity utilization characteristic analysis on each load involved in regulation;
Taking as an example a consumer product line with an adjustable load of power, according to the load curve of 2023 year 10 month 28 provided by the industrial park under pine, the measured indexes such as peak power P peak =240 kw, valley power P valley =70 kw, maximum peak-valley difference v=170 kw, daily average power P av =170 kw, running time T on =24 hours can be obtained. The obtained actual measurement information is combined with the electricity utilization characteristic theoretical model, so that the acquisition and application of the actual measurement information are more standardized and normalized.
(7) And outputting an analysis result. The improved load adjustable capacity analysis method based on the measured information can quantitatively analyze the load adjustable capacity under different adjustment strategies, and provides references for the adjustment and control plans of the power grid and enterprises. In this embodiment, the loose park can make appropriate power adjustment arrangement for various loads involved in adjustment according to the scheduling instruction of the power grid according to the summary file obtained by the fusion analysis method of the actual measurement information and the theoretical model in the above steps.
According to the power regulation requirement of the power grid, two different scenes are divided, and the actual regulation is carried out on the production line power of the loose park.
Scene 1: load regulation in power boost scenarios.
Assuming that the renewable energy source is predicted to be in the output peak in the period of 12-14 noon in a certain day, the thermal power unit can not realize the full consumption of the renewable energy source when the technical output is reduced to the minimum. In order to reduce wind and light abandoning and promote renewable energy consumption, the power grid mechanism should guide the load side to increase the electric power.
According to established demand response measures:
(1) Transferring the production schedule of the consumable product line high power period to the current time: the 240KW high-power production plan of 18 pm (usual time electricity price) is transferred to 12 pm (usual time electricity price is carried out), and 70KW of electricity power can be increased in 12-point period; the 200KW high-power production plan at 8 am (the ordinary time electricity price) is transferred to 14 pm (the ordinary time electricity price is carried out), and the 10KW power consumption can be increased in the 14-point period.
(2) Transferring the production plan of the high-power period of the paint dipping production line to the current moment: the 300KW high-power production plan at 8 am (ordinary time electricity price) is transferred to 12 noon (ordinary time electricity price), and 200KW of electricity power can be increased in 12-point period; the 200KW high-power production plan at 9 am (peak period electricity price) is transferred to 13 pm (ordinary period electricity price), and the 100KW power can be increased at 13 point period; the 200KW high-power production plan at 10 am (peak period electricity price) is transferred to 14 pm (ordinary period electricity price), and the 100KW power consumption can be increased at 14 point period.
(3) The working pressure of the air in the air compression system is properly adjusted upwards, the refrigeration temperature of the cold dryer is properly adjusted downwards, so that the air compressor runs at 110% of rated power, and the power consumption of 32.5KW can be increased in the period of 12-14 points.
According to the regulation of the time-of-use electricity price in the notification of the development and reform committee of Hebei province on further perfecting the time-of-use electricity price mechanism, the regulation not only matches with the scheduling requirement of the power grid for absorbing the high-power renewable energy sources in the noon, but also realizes the transfer of the electricity load from the peak period to the ordinary period, and reduces the electricity charge expenditure of the loose park enterprises.
Scene 2: load regulation in a power curtailment scenario.
And supposing that extreme weather occurs in 8-9 hours in the morning on a certain day, so that the output of renewable energy sources suddenly drops, the full power generation of the thermal power generating unit running on the power grid still cannot meet the load demand, and the power system has the condition of supply shortage. According to the Hebei power saving demand response market operation rule, the demand response market should be started at this time, and the load side is guided to cut down the power consumption.
According to established demand response measures:
(1) The sheet metal production line of the loose park is interrupted, and 113KW of power down-regulating quantity can be provided in the 8-9 point period;
(2) Transferring the production plan of the low-power period of the paint dipping production line to the current moment: the 100KW low-power production plan of 13 noon (ordinary time electricity price) is transferred to 8 am (ordinary time electricity price), and the 200KW power consumption can be reduced in 8 time periods; the 100KW low-power production plan of 14 pm (ordinary time electricity price) is transferred to 9 am (peak time electricity price), and the 100KW power consumption can be reduced in the 9-point time.
(3) Transferring the production schedule of the consumable product line low power period to the current time: the 70KW low-power production plan of 4 am (valley period electricity price) is transferred to 8 am (ordinary period electricity price), and the 130KW power consumption can be reduced in 8 period; the 70KW low-power production plan of 5 a.m. (valley period electricity price) is transferred to 9 a.m. (peak period electricity price), and the 100KW power consumption can be reduced in the 9-point period.
(4) The working pressure of the air in the air compression system is properly adjusted downwards, and the refrigerating temperature of the cold dryer is properly adjusted upwards, so that the air compressor runs at 90% of rated power, and the electric power can be reduced by 32.5KW in the period of 8-9 points.
According to the regulation of the time-of-use electricity price in the notification of the development and reform committee of Hebei province on further perfecting the time-of-use electricity price mechanism, the regulation not only matches with the scheduling requirement of the power grid for reducing load, but also realizes the transfer of the electricity load from peak period to usual period, and reduces the electricity fee expenditure of the loose park enterprises.
Example 3
The manufacturing enterprise load adjustable capacity analysis system based on the actual measurement information improvement is used for realizing the manufacturing enterprise load adjustable capacity analysis method based on the actual measurement information improvement, and comprises an actual measurement information acquisition module, a judgment module, a fusion analysis module and an output module;
The actual measurement information acquisition module is used for acquiring actual measurement information of subjective motivation involved in regulation and process requirements of a production flow, the judging module is used for judging whether each production line has feasibility involved in load regulation, and the fusion analysis module is used for distinguishing a time process layer of the production line, classifying and numbering each load, and carrying out constraint range analysis and electricity utilization characteristic analysis on each load according to an actual production process; the output module is used for outputting the summarized analysis files.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (7)
1. The improved manufacturing enterprise load adjustable capacity analysis method based on the measured information is characterized by comprising the following steps of:
(1) The manufacturing enterprises provide actual measurement information about subjective motivations involved in regulation and process requirements of the production flow;
(2) Based on the measured information of four dimensions, carrying out quantitative analysis on subjective motivations of each production line of a manufacturing enterprise to participate in regulation and the technological requirements of production flows, and calculating scores through weights to evaluate whether each production line has feasibility to participate in load regulation;
(3) Carrying out time process level distinction on related production lines participating in load adjustment according to the actual production process;
(4) Dividing and numbering the loads of the related production lines participating in load adjustment into three types;
(5) Carrying out constraint range analysis on each load participating in regulation;
(6) Carrying out electricity utilization characteristic analysis on each load involved in regulation;
(7) Outputting analysis results to form a summary analysis file containing various actual measurement information;
In the step (3), in the time-transferable load adjustable capacity analysis, judging whether the production process belongs to an independent process, a sequential process, an interlocking process or a parallel process according to a production process flow model, wherein the transferable load in the independent process can be scheduled at any time from T 1,j to T 2,j, the sequential process, the interlocking process and the parallel process are all dependent processes, the transferable load in the sequential process can be carried out as a k process after the j process is finished, the interlocking process is a special sequential process, a fixed time interval exists between the opening of the process j and the opening of the process k, no time interval exists between the opening of the j process and the opening of the k process in the parallel process, and the j process and the k process are parallel;
the expression of the independent process is as shown in the formulas (1) to (4):
Wherein t and τ both represent time, and are used for representing the t or τ minimum adjustment period in the scheduling window, and u j,t is a scheduling instruction for transferring power from the process at time j of t to other time j; v j,t is a scheduling instruction for receiving transfer power at other moments by the process at the moment j; u j represents the time required for the process at time j to transfer power to other times under normal conditions; d j represents the time required for the process to receive the transfer power at time j under normal conditions; s j,t represents a state that the process at time j is to receive the power transferred at other time or transfer the power to other time;
for the sequential process, the interlocking process and the parallel process, a parameter matrix DP j,k is defined, and the three processes are distinguished by the difference of assignment;
the expression of the sequential process is as shown in the formulas (5) to (9):
Wherein w j,t is the total number of scheduling instructions for transferring power from the process at time j from time 1 to time t to other times, u j,τ is the total number of scheduling instructions for transferring power from the process at time j to other times, and r j is the total number of scheduling instructions for transferring power from the process at time j to other times;
For the interlocking process, GP is defined as a parameter matrix containing required time intervals, and the representation mode of the interlocking process is shown as formulas (10) - (11)
GP j,k represents the number of minimum adjustment periods spaced between the start of the j-process and the start of the k-process, i.e., the number of times spaced between the start of the j-and k-processes, for each element in the matrix GP j,k;
the parallel process is represented by the following formula (12):
Equation (12) indicates that there is no time interval for both j and k processes to be on.
2. The improved manufacturing enterprise load adjustability analysis method based on measured information according to claim 1, wherein in the step (1), the subjective motivation involved in adjustment includes the proportion of renewable energy to total energy consumption, the degree of reduction of electricity cost brought to enterprises by previous involved load adjustment, investment made for involved load adjustment, the past load adjustment participation rate of enterprises and the requirements of enterprises on electricity comfort and power supply reliability;
The process requirements of the production flow include production process continuity requirements, product quality stringency requirements and power adjustment safety requirements.
3. The improved manufacturing enterprise load adjustability analysis method of claim 2, wherein step (4) comprises establishing an adjustable load classification model, and classifying as an interruptible load, a power adjustable load, and a time-transferable load according to the adjustable load classification model.
4. The method for analyzing load adjustability of manufacturing enterprises based on actual measurement information improvement as set forth in claim 3, wherein step (4) specifically comprises:
4.1: the adjustable load classification model is:
① The mathematical model of the interruptible load is:
Wherein P t IL is the running power of the device at the time t; a power regulation target value of the interruptible load for the device at time t; /(I) As an interrupt signal, when the value is 0, the device normally operates, and when the value is 1, the device as an interruptible load stops operating;
The interruptible load has a single interrupt duration constraint:
the interruptible load has an interrupt count constraint:
Wherein N i is the maximum interruption times of the interruptible load i in the scheduling period T;
② The mathematical model of the power adjustable load is that
Wherein P t ADL is the running power of the device at the time t; A power regulation target value of a power adjustable load of the equipment at the time t; k ad is a power adjustment factor, which is a constant less than 1 that the device itself schedules instructions;
③ The time-transferable load refers to the characteristic that the electricity consumption of equipment is invariable in total quantity but adjustable in time interval distribution, and the mathematical model is that
P t TSL is the total power transferred by the equipment at the time t;
Epsilon set represents an upper limit value of an adjustment error coefficient for a person to determine whether the load adjustability meets the standard on a time scale, and P av represents daily average power;
4.2: judging whether the load adjustable capacity meets the standard
Setting a response time upper limit value delta set,t and an adjustment error coefficient upper limit value epsilon set, inputting an enterprise actual measurement response time delta t and an actual measurement adjustment error coefficient epsilon, and when delta t≤δset,t and epsilon is less than or equal to epsilon set, enabling the load adjustable capacity to reach the standard, and performing the following steps;
4.3: if the load is interruptible in accordance with the adjustment instruction and satisfies equation (13), classifying as interruptible load and sequentially labeled α i;
4.4: if the load can change power according to the regulation command and satisfies the theoretical formula ((17), it is classified as a power-adjustable load and is numbered beta i in turn;
4.5: if the load is power transferable in accordance with the regulation command and satisfies the formulas ((18), (19), it is classified as a time transferable load and is denoted by the sequence symbol gamma i;
4.6: and summarizing relevant actual measurement information corresponding to each load.
5. The improved manufacturing enterprise load adjustability analysis method based on measured information of claim 4, wherein the constraint range analysis process in step (5) is as follows:
① Power tunable capacity constraint: the expression for the power tunable capacity is as follows:
P t is the power of the device at time t, P min is the lower limit of power regulation, and P max is the upper limit of power regulation;
② Response time: the response time is defined as the time from the time when the regulation command starts to act to the time when the load reaches the target power;
δt＝treach-tstart (21)
Wherein delta t is response time, t start is adjustment starting time, and t reach is time when load power reaches a target power error range for the first time, which is also called reaching standard time;
δ set,t is the response time upper limit; epsilon set is the upper limit value of the adjustment error coefficient, and P set,t is the set value of the power of the equipment at the time t;
③ Adjusting error coefficients:
ε≤εset (25)
p set,t denotes the set point for the power of the device at time t;
④ Maximum number of interruptable times: the maximum interruptible number refers to the maximum number of times a system or device can be safely interrupted and restarted over a period of time;
⑤ Single interrupt duration range: a single interrupt duration range refers to the maximum time a system or device can safely cease operating during an interrupt;
⑥ Power adjustment factor: the power adjustment factor is a constant less than 1, which is a scheduling instruction by the characteristics of the device itself, and its magnitude affects the power adjustment range of the power adjustable load.
6. The improved manufacturing enterprise load adjustability analysis method based on measured information of claim 5, wherein the electricity usage characteristic analysis process of step (6) comprises:
① Unit adjustment period: the unit adjustment period is denoted by Δt;
② Daily average power P av: mean power output of the device over the day, the expression for the daily mean power is as follows:
③ Peak power P peak: the maximum power of the load in a power consumption peak is meant, and one or more peak time t peak exist in one day due to the difference of specific characteristics of the load;
④ Valley power P valley: means that the load achieves the lowest power in a low electricity consumption valley, and the difference of specific characteristics of the load leads to one or more valley time t valley in one day;
⑤ Peak-valley difference: i.e., the difference between the peak power and the valley power, is defined as follows:
V＝Ppeak-Pvalley (27)
⑥ Run time: the running time is the time of the equipment in the running process, and the running time T on is expressed as the difference value between the equipment shutdown time T turnoff and the equipment startup time T turnon in one day;
⑦ Peak-to-peak time period T dif: the time difference between the peak value time of the typical power utilization curve and the peak value time of the typical power utilization curve of the system is indicated;
Tdif＝|tpeak-tvalley| (28)
⑧ Load fluctuation: load fluctuation refers to the degree of change of load over a certain time range, and is expressed by standard deviation of power of equipment
7. The manufacturing enterprise load adjustable capacity analysis system based on the actual measurement information improvement is characterized by comprising an actual measurement information acquisition module, a judgment module, a fusion analysis module and an output module, wherein the actual measurement information acquisition module is used for acquiring the actual measurement information of the manufacturing enterprise load adjustable capacity analysis system based on the actual measurement information improvement;
The actual measurement information acquisition module is used for acquiring actual measurement information of subjective motivation involved in regulation and process requirements of a production flow, the judging module is used for judging whether each production line has feasibility involved in load regulation, and the fusion analysis module is used for distinguishing a time process layer of the production line, classifying and numbering each load, and carrying out constraint range analysis and electricity utilization characteristic analysis on each load according to an actual production process; the output module is used for outputting the summarized analysis files.
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