CN117291363A - Load regulation and control method and system based on heterogeneous temperature control load model - Google Patents
Load regulation and control method and system based on heterogeneous temperature control load model Download PDFInfo
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Abstract
The invention provides a load regulation and control method and a system based on a heterogeneous temperature control load model, comprising the following steps: establishing a temperature control load thermodynamic model; introducing an additional term of flow state change and a correction coefficient of a temperature critical value as correction terms of the temperature control load thermodynamic model, and establishing an heterogeneous temperature control load thermoelectric model; defining a comprehensive generalization index defined based on an adjustable energy range and a load continuous control time; and establishing an objective function and constraint conditions of the heterogeneous temperature control load model based on the comprehensive generalization index, and solving the objective function to obtain an overall regulation strategy.
Description
Technical Field
The invention belongs to the technical field of multi-element load regulation and control, and particularly relates to a load regulation and control method and system based on an heterogeneous temperature control load model.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the rapid development of energy interconnection technology, the scheduling and operation level of the novel power system is also improved. Under the trend of large-scale access of new energy, the marketization level of the electric power market is improved, the intelligent degree of terminal equipment is improved, flexible scheduling of load resources on the demand side is realized, and the method is an effective way for coping with large grid-connected volatility of the new energy, peak clipping and valley filling and lack of auxiliary services.
In the aspect of theoretical research, a learner Lu Enji builds a first-order thermodynamic model of the temperature-controlled load in a temperature-controlled load temperature periodic operation mode. Based on a two-dimensional state library, a second-order constant temperature control load dynamics model is simulated, so that a Model Predictive Control (MPC) scheme is provided, and the optimal control action of the load is obtained in a predictive range. Although the MPC regulating method ensures the regulating precision and the regulating accuracy of the whole multielement load to a certain extent, certain unequal conditions exist in consideration of the demands of users, and a part of adverse effects are caused on the economic benefits of the users.
Qi Yebai A cluster modeling planning model disclosed in China motor engineering report and based on demand response and cluster temperature control load modeling and low-frequency load shedding strategy research is provided, so that the total social cost is reduced to a great extent, and the load transfer and peak shaving are facilitated. The technology has obvious performance advantages, but has certain defects in energy consumption efficiency, energy conservation and emission reduction, and simultaneously lacks solving measures and pre-control in advance for heterogeneous temperature control errors.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a load regulation and control method based on a heterogeneous temperature control load model, which can ensure the accuracy of a control strategy and improve the rationality of the temperature field distribution of a system.
To achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
in a first aspect, a load regulation method based on a heterogeneous temperature control load model is disclosed, comprising:
establishing a temperature control load thermodynamic model according to load temperature, power, equivalent thermal resistance, equivalent heat capacity, ambient temperature, switching state and time interval of a power system at a certain moment;
introducing an additional term of flow state change and a correction coefficient of a temperature critical value as correction terms of the temperature control load thermodynamic model, and establishing an heterogeneous temperature control load model;
defining a comprehensive generalization index defined based on an adjustable energy range and a load continuous control time;
and establishing an objective function and constraint conditions of the heterogeneous temperature control load model based on the comprehensive generalization indexes, solving the objective function based on the generalization indexes corresponding to the load i at the t moment, the target power at the t moment, the power after the actual regulation of the i-th load at the t moment, the temperature of the regulated temperature load and the comfort temperature to obtain the regulation and control states of the i-th load at each t period, and regulating and controlling the load based on the regulation and control states obtained through solving.
As a further technical scheme, after the heterogeneous temperature control load model is obtained, model parameter solving based on historical load data is needed.
When the objective function is solved to obtain the overall regulation strategy, the real-time state data of the load is acquired first before the objective function is solved, the comprehensive generalization index is solved based on the real-time state data of the load, the calculation of the demand difference is completed by combining the regulation and control demand target curve, the load regulation and control problem is converted into a linear combination optimization problem, then the linear combination optimization problem is solved, the load regulation action is implemented based on the solving result, and the load condition and the difference demand are fed back to achieve dynamic balance until the regulation task is completed.
As a further technical scheme, the heterogeneous temperature control load model is as follows:
wherein T (T) is the load temperature at time T; lambda is an equivalent coefficient; p is power; r is equivalent thermal resistance; c is equivalent heat capacity; t (T) 0 (t) is ambient temperature; s (t) is a switch state; delta t is time interval, theta is equivalent factor, t u For the corresponding duration of energy storage and release, k is the efficiency of energy storage and release, and the magnitude of the value is related to the load's own characteristics.
As a further technical solution, the controllable energy range in the comprehensive generalization index is determined based on the complete consumable energy of the temperature control load group target, and the factors related to the complete consumable energy of the temperature control load group target include:
when the load group is heated to a set temperature, the energy which can be absorbed by the load group;
equivalent environmental heat consumption in the conditioning cycle can consume energy; and
the energy loss caused by the change of the flowing state caused by external factors can equivalently consume the energy space.
As a further technical solution, the use time set by the user or based on regression prediction of historical use behavior of the user is taken as the first time; the time determined according to the space conversion time of the available energy of the load is taken as a second time;
and taking the minimum time of the first time and the second time as the load continuous control time in the comprehensive generalization index.
As a further technical scheme, the overall adjustment strategy aims at solving the maximum of the working curve, namely, after the adjustment is finished, the deviation between the working curve and the working curve is minimum;
in addition, the temperature control load may have potential model constraints, i.e., different load model parameters are limited within a comfortable temperature range of the user's heat demand;
in terms of generalization index, on the premise of meeting the total target and the limit, an optimal direction for minimizing the total load is sought so as to make the total load maximally approach to the target of the total load.
In a second aspect, a load regulation system based on a heterogeneous temperature control load model is disclosed, comprising:
the heterogeneous temperature control load model building module is configured to: establishing a temperature control load thermodynamic model according to load temperature, power, equivalent thermal resistance, equivalent heat capacity, ambient temperature, switching state and time interval of a power system at a certain moment;
introducing an additional term of flow state change and a correction coefficient of a temperature critical value as correction terms of the temperature control load thermodynamic model, and establishing an heterogeneous temperature control load model;
the comprehensive generalization index definition module is configured to: defining a comprehensive generalization index defined based on an adjustable energy range and a load continuous control time;
an overall adjustment policy obtaining module configured to: and establishing an objective function and constraint conditions of the heterogeneous temperature control load model based on the comprehensive generalization indexes, solving the objective function based on the generalization indexes corresponding to the load i at the t moment, the target power at the t moment, the power after the actual regulation of the i-th load at the t moment, the temperature of the regulated temperature load and the comfort temperature to obtain the regulation and control states of the i-th load at each t period, and regulating and controlling the load based on the regulation and control states obtained through solving.
The one or more of the above technical solutions have the following beneficial effects:
according to the invention, the cooperative control method of the heterogeneous load group under temperature control is obtained by a comprehensive index method, and the accuracy and the practicability of the temperature-controlled load thermodynamic model are improved based on the temperature-controlled load thermodynamic model by combining deviation correction and behavior analysis. On the basis, a general evaluation index is constructed from the two aspects of adjustable energy space and transportable time, and standardized evaluation and analysis are carried out on the load states of the heterogeneous temperature control, so that the load combination of the heterogeneous temperature control is guided to carry out optimal regulation. Finally, experimental simulation is carried out, and whether the control strategy provided by the patent is suitable for different types of temperature control load control requirements is verified, so that the accuracy of the control strategy is ensured, and the rationality of the temperature field distribution of the system is improved.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a flow chart of a generalized indicator-based regulation and control according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a typical daily operation curve of a water heater according to an embodiment of the present invention;
FIG. 3 is a comparison diagram of temperature variation of a water heater group according to an embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Because of the common influence of various factors such as high intelligence of supply and demand side load resources, diversified scheduling needs of a power system, market excitation and the like, a large-load cluster computer management mode consisting of a large-load aggregator and a comprehensive energy service management system is commonly used. The control architecture can be divided into two types according to the interaction pattern.
1) Personal shape. Aiming at mass heterogeneous loads of a demand end, different aggregators are adopted for management and control, so that independent analysis and management of single type objects are realized. The method controls different types of loads independently in a grouping mode, is convenient to implement, and is consistent with the longitudinal interaction system structure of the current equipment information.
2) Group type. The system is characterized in that the loads of various types are comparable in the transverse direction, so that cross cooperation of the loads of different types is realized. When the combination is optimized, the load is not classified according to the same type of load, but is regarded as a unified resource library, and the optimal selection is performed in the same load according to different tasks.
According to the technical scheme, the heterogeneous load group joint regulation method based on the generalization index is provided, so that the links of frequent interaction, judgment, regulation and control and the like in the traditional polling mechanism are avoided, and meanwhile, the instruction issuing in batches can be realized through comprehensive sequencing of the load generalization index, so that the calculated amount and the interaction cost are reduced, and the regulation and control efficiency is improved. The general index is obtained, so that the advantages of terminal edge calculation are fully exerted, the terminal edge calculation is carried out at the user side, and the result is sent to the upper platform.
Example 1
The embodiment discloses a load regulation and control method based on a heterogeneous temperature control load model, which comprises the following steps:
establishing an heterogeneous temperature control load model;
the establishment of the load model provides a theoretical basis for the evaluation and decision of the load condition, and the temperature control load thermodynamic model is as follows:
λ＝1-e -Δt/RC (2)
in the formulas (1) and (2), T (T) is the load temperature at the time T; lambda is an equivalent coefficient; p is power (refrigeration type load is negative); r is equivalent thermal resistance; c is equivalent heat capacity; t (T) 0 (t) is ambient temperature; s (t) is a switch state; Δt is the time interval.
Based on this, the following 2 items of correction are introduced for several special cases in which the temperature control load object appears in the actual operation.
1) Additional term for flow regime change
In addition to the change of the normal load state, a new additional quantity k x t is proposed, since some other behavior effects may occur for some loads u To express the phenomenon, i.e. the additional change of the external mechanism based on the load model. In water consumption, a water consumption coefficient k and a water consumption time t u The energy consumed by water and the water use time are respectively described; in the energy storage type load, k is the energy storage and release efficiency, the value is related to the self-characteristics of the load, and t u The corresponding energy storage and release time length indicates that the influence on the load state change is also in a linear proportion relation. In the load object without flow state change, the characteristics are mainly reflected in the aspects of disconnection, set temperature and the like of the device, and the characteristic parameters of the model are not influenced, so that the model can be expressed by s (t), and has no relation with the additional terms, and in the case that the k value is 0, the model is equivalent to a general model of formulas 1 and 2.
2) Correction coefficient of temperature critical value
At present, the control mode of the temperature control load is generally switching control based on model judgment, and the switching priority is influenced by various factors, however, when the load temperature reaches a critical value, the actual heating time is less than an adjustment time interval due to lack of enough temperature space, so that misjudgment on the actual consumption is caused. This embodiment achieves the model level optimization by introducing an equivalence factor into the model, i.e
Wherein: t (T) set Setting a maximum value of the temperature for a user; t (T) ex The expected temperature for the result. The equivalence factor is θ in equation (3),the parameter can correct the misjudgment problem of the actual consumption under the critical temperature state. Therefore, the final heterogeneous temperature control load thermoelectric model in this embodiment is
In the process of participating in the regulation of the load group, the regulation priority level is very high, and the load group can be analyzed from multiple angles, but the most fundamental content of the load group is traced back, so that the load group can be summarized into an adjustable quantity and an adjustable time. Taking this as a starting point, the present embodiment intends to define a general evaluation index suitable for heterogeneous load adjustment.
1) Controllable energy range
By deriving from equation (4), it is obtained that the complete consumable of the temperature-controlled load group target can consist of three parts, i.e
E 1 ＝T set -T(t) (6)
E 3 ＝t u ·k (8)
Wherein E1 represents energy which can be absorbed by the load group when the load group is heated to a set temperature; e2 is an equivalent amount of ambient heat consumption to consume energy during the conditioning cycle; e3 is the energy loss caused by the change of flow state (water, energy storage, etc.) caused by external factors, equivalently the energy space can be consumed. Also, the adjustable decrease is the negative number above, and thus its absolute value is called adjustable, and the types of adjustment increase and adjustment decrease are separated for classification.
2) Load continuous control time
The duration of the load is controlled for a period of time,on the one hand, depending on the user's expectations of the time of use, its value is based on regression predictions of the user's historical usage behavior, or the time of use t set by the user himself f To calculate; the other is based on the space conversion time of the available energy of the load itself. By comparing the two control methods, the smallest of the two control methods is obtained and used as a basis for the control duration, i.e. the control duration
t s ＝min{t f -t,E/(P-P o )} (9)
Wherein P is o Is equivalent power resulting in heat loss due to external environmental impact.
3) And (5) synthesizing generalization indexes.
From the aspects of user requirements and adjustment requirements, the definition of generalization indexes is studied, and from the aspect of adjustable capacity, the larger the adjustable capacity is, the higher the priority is for adjustment under the minimum load; at the same time, the greater the adjustable capacity, the greater the difference in value from the target temperature, and the greater the comfort will be, so that if standing in view of the user, the energy needs of this class of objects need to be preferentially guaranteed. The length of the remaining time available is directly related to continuous time control, while longer time available means less urgency to remote electricity usage and the need for energy usage can be deferred. Thus, the value of the repurposed time exhibits an inversely increasing characteristic to the priority.
It should be noted that in the composition of the adjustable energy gap, E 1 And E is 3 The device is limited by strong time, and can be equivalent to energy storage in advance without exceeding the set range of temperature; however, due to E 2 The equivalent heat energy of (2) is directly limited by time, the heat release rate under different loads is greatly different, and only E is used 1 Consider E as a benchmark 2 It is possible to have its temperature out of a reasonable range, and at the same time, when E2 is too much in advance, there is a possibility that the problem of excessive heat loss occurs. The load represented by air conditioner, electric heat pump, etc. has a limited running time in the expected service period due to a high heat release rate, if the air conditioner is usedIf the limits are set separately for different loads, the advantages of the generic model in cloud computing will be impaired and single limits will become very difficult when the load type cannot be determined directly. Aiming at the current situation, the patent aims to solve the problems of overlarge energy consumption, overhigh temperature and the like among loads by optimizing the reverse relation of the heat exchange rate and the load on the basis of considering different load characteristics.
To sum up, the index is ψ=e/(λ×t) s ) Defined as load control priority index expressed in synthesis.
Step three: load regulation and control realization
The targets and constraints of the load regulation optimization model are as follows:
wherein P is tgt Is the target power at time t; p (P) i The power after the actual regulation and control is carried out for the ith load t moment; p (P) e The value of the bias power is determined according to the number of loads and the maximum power of the loads; t is the temperature for regulating and controlling the temperature load; t (T) comf Is a comfortable temperature; delta i A regulation blind area value allowed by the load temperature; t (T) i (t u ) Is the temperature of the load i during the energy use period. The generalization index is ψ=e/(λ×t) s ) Defined as load control priority index expressed in comprehensive manner, ψ i And (t) is a generalization index corresponding to the load i at the moment t.
The whole regulation strategy aims at the maximum absorption of the working curve, namely, after the regulation is finished, the deviation between the working curve and the working curve is minimum; in addition, the temperature controlled load may have potential model constraints in that different load model parameters are limited to within the comfort temperature range of the user's heat demand. In terms of generalization index, because it reflects the demand of load for energy, the larger its value, the larger the demand with the target, so on the premise of meeting the total target and the limit, the optimal direction for minimizing the total load is sought so as to make the total load approach the target of the total load to the maximum.
On the basis, the load population adjustment decision is converted into a combination optimization problem of searching an optimal adjustment target under the conditions of targets and constraints. The control implementation flow in this embodiment is shown in fig. 1. In this embodiment, firstly, a load target is modeled, the basic model parameters are obtained by using the temperature control load history data of a user, and based on the basic model parameters, the actual measured load state data is utilized to generalize the index ψ=e/(λ×t) through the content s ) The formula calculation of the load target is realized, so that the dynamic calculation and evaluation of the comprehensive generalization index are realized, and the comprehensive evaluation of the load target is further realized. Under the condition of having an adjustment requirement, performing differential operation on the adjustment problem by utilizing the existing adjustment requirement, namely, converting the adjustment problem into a linear combination optimization problem by making a difference between the given adjustment requirement and the adjustment capability, and then solving to obtain the adjustment and control state of the ith load in each t period; based on the method, load regulation action is implemented by taking the method as a guide, and feedback is carried out on load conditions and different demands so as to achieve dynamic balance until the regulation task is completed.
In order to verify the effect of the method provided by the technical scheme, taking new energy consumption as an example, based on a typical daily output curve of the wind turbine generator, a target curve of new energy consumption is established through equal proportion adjustment, and on the basis, a new energy consumption curve is established, and the effective consumption of new energy is realized by combining the actual application of the new energy. On the basis, comparison schemes such as grouping average distribution control, generalization index control under the condition of model optimization and polling control under the condition of model optimization are adopted, and comparison analysis is carried out.
Establishing a heterogeneous temperature control load model:
1) Typical load operating curves simulate. The daily operational curve of the water heater is shown in fig. 2. The water concentration phenomenon exists on the heating surface of the heater at the initial stage and the later stage, so that the starting time is prolonged. The temperature maintaining characteristic of the heater is good, so that the simulation curve can better reflect the real load condition and load characteristic.
2) Regulating and controlling effects. On the basis, the implementation effect of load regulation is simulated on the basis of a simulated demand-target curve. The total load number was taken as 1200, the gaussian random amounts of 3 loads were grouped as 400, and the average error rate results are shown in table 1.
Table 1 comparison of regulatory strategy matching results
Load regulation and control realization
In the prior study, the average error of the system can reach 59% based on a polling control mode of non-model optimization, mainly because most of loads in the system are in a state close to saturation and cannot meet the requirement of one-time regulation period, however, due to lack of correction of a model, the problem is remarkably improved after multi-agent is introduced, the fitting result of the algorithm is better than that of other algorithms, but the defects of the algorithm are obvious, such as lower load participation degree, unreasonable temperature distribution and the like; in the average distribution mode, because the difference between groups is large, extra tasks can be generated, and the error rate is about 13%; in the adjustment method based on the universality index, even if model optimization is not introduced, the average adjustment error can be kept at about 4.7%, but local spike errors can be generated near 6 am, and because some loads are not corrected to a critical state, misjudgment errors are generated; and after the multivariate optimization algorithm is adopted, the adjustment bias based on the general index is reduced to 2.3 percent, and the local accumulated deviation is corrected.
In addition, the scheduling control conditions of each load group in the participation control process are compared and studied, as shown in fig. 3, each water heater group cannot meet the use requirement of 60 ℃ before the two-point centralized use time in the morning and evening due to the limitation of the scheduling time; due to the fact that the critical conditions are judged in error, the energy in actual work is greatly different from the expected energy, the actual heating effect is poor, and the temperature is far lower than a preset value; in other ways, the required temperature can be ensured, and because in this way the water heater has a higher regulation priority and is thus supported by sufficient power, in this way the temperature rise is the fastest and therefore the overall temperature integration zone is the largest; on the basis of the general index, due to the existence of local critical state deviation, under the action of micro-amplitude, the micro-amplitude rises at a speed obviously faster than that of the micro-amplitude without existence and has a larger energy area.
In summary, the technical scheme of the embodiment provides a novel load regulation and control method based on cooperative regulation and control of multiple heterogeneous loads, wherein the multiple heterogeneous loads are heterogeneous loads of different types, including heat load, cold load and electric load. The method provides theoretical basis and technical support for load regulation in the power system, not only can ensure the precision of the load regulation, but also can enable the regulation process to be closer to the actual demand, and can avoid energy waste caused by improper selection of load resources, thereby better realizing the rationality of the load regulation.
Under the cooperative regulation of heterogeneous load participation, the regulation method not only can ensure the regulation precision, but also can better meet the actual demands of users. The energy waste caused by unreasonable selection of resources during normal operation can be avoided, and the comprehensive utilization of load resources can be better realized. The output safety of the high-proportion new energy source needs to comprehensively consider the influence of various factors such as carbon emission reduction potential, inertia level, frequency stability and the like of the system on the output so as to ensure the output safety and controllability.
In an actual power system, loads often have heterogeneous characteristics with different degrees, wherein load types often show diversity, but the loads have obvious characteristic differences, and the heterogeneous characteristics can have an important influence on fair evaluation of cooperative regulation and control of multi-class loads. However, even with the same load, the difference between the parameters causes a deviation in the evaluation result, thereby affecting the final adjustment effect.
According to the technical scheme, the global load situation is judged, the load situation is judged by using the generalization index, the non-isomerism optimal adjustment is realized, and by comprehensively considering the factors such as temperature, task quantity and service time, which are considered in the comprehensive generalization index, a plurality of factors are considered to be attributable to the adjustable quantity and the adjustable time, and the isomerism load cluster joint adjustment method based on the generalization index is researched, so that the isomerism load cluster cooperative adjustment is realized, namely: comprehensively considering the adjustable energy space and the transferable time, establishing a generalization index, realizing standardized evaluation analysis of heterogeneous temperature control load situation, and further guiding heterogeneous load group combination to optimize and adjust.
Example two
It is an object of the present embodiment to provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which processor implements the steps of the above method when executing the program.
Example III
An object of the present embodiment is to provide a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method.
Example IV
An object of the present embodiment is to provide a load control system based on a heterogeneous temperature control load model, including:
the heterogeneous temperature control load model building module is configured to: establishing a temperature control load thermodynamic model according to load temperature, power, equivalent thermal resistance, equivalent heat capacity, ambient temperature, switching state and time interval of a power system at a certain moment;
introducing an additional term of flow state change and a correction coefficient of a temperature critical value as correction terms of the temperature control load thermodynamic model, and establishing an heterogeneous temperature control load model;
the comprehensive generalization index definition module is configured to: defining a comprehensive generalization index defined based on an adjustable energy range and a load continuous control time;
an overall adjustment policy obtaining module configured to: and establishing an objective function and constraint conditions of the heterogeneous temperature control load model based on the comprehensive generalization indexes, solving the objective function based on the generalization indexes corresponding to the load i at the t moment, the target power at the t moment, the power after the actual regulation of the i-th load at the t moment, the temperature of the regulated temperature load and the comfort temperature to obtain the regulation and control states of the i-th load at each t period, and regulating and controlling the load based on the regulation and control states obtained through solving.
In the heterogeneous temperature control load model building module, basic model parameters of the built heterogeneous temperature control load model are obtained based on historical load data.
The steps involved in the devices of the second, third and fourth embodiments correspond to those of the first embodiment of the method, and the detailed description of the embodiments can be found in the related description section of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media including one or more sets of instructions; it should also be understood to include any medium capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any one of the methods of the present invention.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. A load regulation and control method based on an heterogeneous temperature control load model is characterized by comprising the following steps:
establishing a temperature control load thermodynamic model according to load temperature, power, equivalent thermal resistance, equivalent heat capacity, ambient temperature, switching state and time interval of a power system at a certain moment;
introducing an additional term of flow state change and a correction coefficient of a temperature critical value as correction terms of the temperature control load thermodynamic model, and establishing an heterogeneous temperature control load model;
defining a comprehensive generalization index defined based on an adjustable energy range and a load continuous control time;
and establishing an objective function and constraint conditions of the heterogeneous temperature control load model based on the comprehensive generalization indexes, solving the objective function based on the generalization indexes corresponding to the load i at the t moment, the target power at the t moment, the power after the actual regulation of the i-th load at the t moment, the temperature of the regulated temperature load and the comfort temperature to obtain the regulation and control states of the i-th load at each t period, and regulating and controlling the load based on the regulation and control states obtained through solving.
2. The load control method based on the heterogeneous temperature control load model according to claim 1, wherein basic model parameters of the built heterogeneous temperature control load model are obtained based on historical load data.
3. The method for regulating and controlling loads based on heterogeneous temperature control load model according to claim 1, wherein before solving an objective function, real-time state data of the loads are collected, comprehensive generalization indexes are solved based on the real-time state data of the loads, calculation of demand difference is completed by combining a regulating and controlling demand target curve, a load regulating and controlling problem is converted into a linear combination optimizing problem, then the linear combination optimizing problem is solved, load regulating action is implemented based on a solving result, feedback is carried out on load conditions and difference demands, and dynamic balance is achieved until a regulating task is completed.
4. The load control method based on the heterogeneous temperature control load model as claimed in claim 1, wherein the heterogeneous temperature control load model is:
wherein T (T) is the load temperature at time T; lambda is an equivalent coefficient; p is power; r is equivalent thermal resistance; c is equivalent heat capacity; t (T) 0 (t) is ambient temperature; s (t) is a switch state; delta t is time interval, theta is equivalent factor, t u For the corresponding duration of energy storage and release, k is the efficiency of energy storage and release, and the magnitude of the value is related to the load's own characteristics.
5. The method for regulating and controlling loads based on heterogeneous temperature-controlled load models according to claim 1, wherein the controllable energy range in the comprehensive generalization index is determined based on complete consumable potential of a temperature-controlled load group target, and the complete consumable potential-related factors of the temperature-controlled load group target include:
when the load group is heated to a set temperature, the energy which can be absorbed by the load group;
equivalent environmental heat consumption in the conditioning cycle can consume energy; and
the energy loss caused by the change of the flowing state caused by external factors can equivalently consume the energy space.
6. The load control method based on the heterogeneous temperature control load model according to claim 1, wherein a regression prediction based on historical use behaviors of a user or a use time set by the user himself is used as a first time; the time determined according to the space conversion time of the available energy of the load is taken as a second time;
and taking the minimum time of the first time and the second time as the load continuous control time in the comprehensive generalization index.
7. A load regulation and control system based on heterogeneous temperature control load model is characterized by comprising:
the heterogeneous temperature control load model building module is configured to: establishing a temperature control load thermodynamic model according to load temperature, power, equivalent thermal resistance, equivalent heat capacity, ambient temperature, switching state and time interval of a power system at a certain moment;
introducing an additional term of flow state change and a correction coefficient of a temperature critical value as correction terms of the temperature control load thermodynamic model, and establishing an heterogeneous temperature control load model;
the comprehensive generalization index definition module is configured to: defining a comprehensive generalization index defined based on an adjustable energy range and a load continuous control time;
an overall adjustment policy obtaining module configured to: and establishing an objective function and constraint conditions of the heterogeneous temperature control load model based on the comprehensive generalization indexes, solving the objective function based on the generalization indexes corresponding to the load i at the t moment, the target power at the t moment, the power after the actual regulation of the i-th load at the t moment, the temperature of the regulated temperature load and the comfort temperature to obtain the regulation and control states of the i-th load at each t period, and regulating and controlling the load based on the regulation and control states obtained through solving.
8. The load control system based on the heterogeneous temperature control load model according to claim 7, wherein in the heterogeneous temperature control load model building module, basic model parameters of the built heterogeneous temperature control load model are obtained based on historical load data.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of the preceding claims 1-6 when the program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, performs the steps of the method of any of the preceding claims 1-6.
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