CN113988590A - Power demand response scheduling method and device - Google Patents
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Abstract
The invention relates to the technical field of power dispatching, and particularly provides a power demand response dispatching method and a power demand response dispatching device, wherein the method comprises the following steps: s101, determining a demand response requirement parameter of the electric equipment based on a demand response correlation coefficient of the electric equipment; s102, performing power demand response scheduling on the electric equipment by using demand response requirement parameters of the electric equipment; s103, calculating an dissatisfaction evaluation index of the user, adjusting a demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the step S101. The technical scheme provided by the invention can optimize the existing scheduling strategy and avoid the phenomenon of one cutting. The method has important significance for improving the satisfaction degree of users, improving the power utilization efficiency of the users, relieving the pressure of a power grid in a peak period and ensuring the safe operation of a power system.
Description
Technical Field
The invention relates to the technical field of power dispatching, in particular to a power demand response dispatching method and device.
Background
Power demand response is an important means of regulating power supply and demand. Aiming at the implementation of demand response of virtual power plants such as terminal users, on one hand, the pressure of a power grid in a peak period can be relieved, and the influence on the safe operation of the power grid is reduced; on the other hand, the operation efficiency of the power system can be improved, unnecessary resource waste is reduced, the maximum of the overall benefit is achieved, and the power generation system can operate efficiently, stably and safely.
However, when demand response scheduling is performed on an end user at present, the whole end user is scheduled only singly, a large number of terminal devices which are different in type and response difference exist in the user are not considered, and for different devices of the user, demand response strategies are consistent, so that a phenomenon of 'one-time cutting' exists in demand response.
Disclosure of Invention
In order to overcome the defects, the invention provides a power demand response scheduling method and a power demand response scheduling device.
In a first aspect, a power demand response scheduling method is provided, and the power demand response scheduling method includes:
s101, determining a demand response requirement parameter of the electric equipment based on a demand response correlation coefficient of the electric equipment;
s102, performing power demand response scheduling on the electric equipment by using demand response requirement parameters of the electric equipment;
s103, calculating the dissatisfaction evaluation index of the user, updating the demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the step S101.
Preferably, the demand-response correlation coefficient includes at least an adjustability, an electric energy consumption coefficient, and a response willingness.
Further, before the step S101, the method includes:
dividing the load types of the electric equipment based on the equipment characteristics of the electric equipment;
the adjustability of the electrical device is determined based on a load type of the electrical device.
Further, the device features include at least: on-time, duration of use, power of use, and frequency of use.
Further, the dividing the load type of the electric equipment based on the electricity utilization characteristics of the electric equipment includes:
if the starting time, the using time length, the using power and the using frequency of the electric equipment are not adjustable, the load type of the electric equipment is a rigid load;
if the starting time, the using time length and the using frequency of the electric equipment are not adjustable and the using power is adjustable, the load type of the electric equipment is a power variable load;
if the starting time, the using time length and the using frequency of the electric equipment are adjustable and the using power is not adjustable, the load type of the electric equipment is a time variable load.
Further, the determining the adjustability of the electric device based on the load type of the electric device includes:
if the load type of the electric equipment is rigid load, the adjustability of the electric equipment is 0;
if the load type of the electric equipment is a power variable load, the adjustability of the electric equipment is between 0.3 and 0.6;
if the load type of the electric device is a time-variable load, the adjustability of the electric device is between 0.8 and 1.
Further, the calculation formula of the demand response requirement parameter of the electric equipment is as follows:
S＝αφx
in the above formula, S is a demand response requirement parameter of the electric device, α is an adjustability of the electric device, Φ is a power consumption coefficient of the electric device, and x is a response willingness of the electric device.
Furthermore, the power consumption coefficient of the electric equipment is in direct proportion to the power consumption of the electric equipment, and the value range is 0-2; the value range of the response willingness degree of the electric equipment is 0-2.
Further, the step S102 includes:
when the demand response requirement parameter of the electric equipment is larger than the specified value of the demand response requirement parameter received by the electric equipment, the using power of the electric equipment with the load type of the variable-power load is reduced, or the using time length of the electric equipment with the load type of the variable-time load is shortened.
Further, when the electric equipment is an air conditioner, the calculation formula of the dissatisfaction evaluation index of the user is as follows:
in the above formula, DISC is an index for evaluation of user dissatisfaction,
in order to obtain a lower limit value for the comfort temperature,
for comfort of the upper limit value of temperature, TempinFor the current time period indoor temperature, TempminFor permissible lower limit of indoor temperature, TempmaxIs an allowable upper limit value of the indoor temperature.
Further, the calculation formula of the indoor temperature in the current time period is as follows:
Tempin＝Tempin′+α(Tempout-Tempout′)+βP
in the above formula, Tempin' is the last period indoor temperature, TempoutFor the outdoor temperature, Temp, of the current time periodout' is the outdoor temperature of the last period, alpha is the characteristic coefficient of the outdoor temperature, beta is the characteristic coefficient of the electric equipment, and P is the power consumption of the electric equipment in the current period.
Further, when the electric device is an electric vehicle, the calculation formula of the dissatisfaction evaluation index of the user is as follows:
in the above equation, SOCminIs the lower limit value of the state of charge, SOCmaxIs the upper limit value of the state of charge, SOCinitThe initial state of charge of the electric vehicle is obtained, and the SOC is the state of charge of the electric vehicle in the current period.
Further, the calculation formula of the electric vehicle state of charge in the current time period is as follows:
in the above formula, CbattThe total electric quantity of the battery is represented by SOC' which is the state of charge of the electric vehicle in the last period, and P is the power consumption of the electric equipment in the current period.
Further, the updating the demand response correlation coefficient of the electric device based on the dissatisfaction evaluation index of the user includes:
updating the response willingness degree in the demand response correlation coefficient of the electric equipment according to the following formula:
x′＝x-DISC
in the above formula, x' is a response willingness degree update value in the demand response correlation coefficient of the electric equipment, x is a response willingness degree in the demand response correlation coefficient of the electric equipment, and DISC is an evaluation index of dissatisfaction degree of a user.
In a second aspect, there is provided a power demand response scheduling apparatus, including:
the determining module is used for determining a demand response requirement parameter of the electric equipment based on the demand response correlation coefficient of the electric equipment;
the scheduling module is used for performing power demand response scheduling on the electric equipment by using the demand response requirement parameters of the electric equipment;
and the updating module is used for calculating the dissatisfaction evaluation index of the user, updating the demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the determining module.
In a third aspect, a storage medium is provided, where the storage medium includes a stored program, and when the program runs, a device in which the storage medium is located is controlled to execute the power demand response scheduling method.
In a fourth aspect, a processor is provided, where the processor is configured to run a program, where the program is configured to execute the power demand response scheduling method when running.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
the invention provides a power demand response scheduling method and a power demand response scheduling device, which comprise the following steps: s101, determining a demand response requirement parameter of the electric equipment based on a demand response correlation coefficient of the electric equipment; s102, performing power demand response scheduling on the electric equipment by using demand response requirement parameters of the electric equipment; s103, calculating an dissatisfaction evaluation index of the user, adjusting a demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the step S101. The technical scheme provided by the invention is a double-layer scheduling strategy, has the characteristic of upper and lower correlation, the upper layer scheduling result influences the calculation of the lower layer satisfaction index, and the lower layer satisfaction index restricts the upper layer scheduling strategy. The existing scheduling strategy can be optimized, and the phenomenon of one-time cutting is avoided. The method has important significance for improving the satisfaction degree of users, improving the power utilization efficiency of the users, relieving the pressure of a power grid in a peak period and ensuring the safe operation of a power system.
Drawings
FIG. 1 is a flow chart illustrating the main steps of a power demand response scheduling method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a load adjustment model under price incentive for demand response according to an embodiment of the present invention;
FIG. 3 is a graph of a single electricity rate versus time of use electricity rate for an embodiment of the present invention;
FIG. 4 is a basic schematic diagram of a two-tier demand response scheduling policy based on user equipment level power usage information according to an embodiment of the present invention;
fig. 5 is a main block diagram of the power demand response scheduling apparatus according to the embodiment of the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flow chart illustrating main steps of a power demand response scheduling method according to an embodiment of the present invention. As shown in fig. 1, the power demand response scheduling method in the embodiment of the present invention mainly includes the following steps:
s101, determining a demand response requirement parameter of the electric equipment based on a demand response correlation coefficient of the electric equipment;
s102, performing power demand response scheduling on the electric equipment by using demand response requirement parameters of the electric equipment;
s103, calculating the dissatisfaction evaluation index of the user, updating the demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the step S101.
Wherein the demand response correlation coefficient at least comprises an adjustability degree, an electric energy consumption coefficient and a response willingness degree.
Specifically, the development of the edge intelligent technology enables people to sense the electricity utilization information of the resident user equipment, and can extract electricity utilization characteristics of equipment such as the on-off time, the use duration, the rated rule, the actual use power, the use frequency and the influence degree of unavailable use on families of the electricity utilization equipment. According to the function of the device, the habit of using in the home, and the difference of the frequency of use, the electrical equipment in the home can be divided into three types, namely, rigid load (such as refrigerator, etc.), power time variable load (air conditioner, electric lamp, etc.), interruptable load (washing machine, sweeping robot, etc.), specifically, before step S101, the method includes:
dividing the load types of the electric equipment based on the equipment characteristics of the electric equipment;
the adjustability of the electrical device is determined based on a load type of the electrical device.
Wherein the device features include at least: on-time, duration of use, power of use, and frequency of use.
Further, the dividing the load type of the electric equipment based on the electricity utilization characteristics of the electric equipment includes:
if the starting time, the using time length, the using power and the using frequency of the electric equipment are not adjustable, the load type of the electric equipment is a rigid load;
if the starting time, the using time length and the using frequency of the electric equipment are not adjustable and the using power is adjustable, the load type of the electric equipment is a power variable load;
if the starting time, the using time length and the using frequency of the electric equipment are adjustable and the using power is not adjustable, the load type of the electric equipment is a time variable load.
In one embodiment, the classification results may be as shown in table 1:
TABLE 1
(where "×" indicates that the corresponding power usage characteristic is unadjustable and "√" indicates that the corresponding power usage characteristic is adjustable);
in one embodiment, the determining the adjustability of the electric device based on the load type of the electric device includes:
if the load type of the electric equipment is rigid load, the adjustability of the electric equipment is 0;
if the load type of the electric equipment is a power variable load, the adjustability of the electric equipment is between 0.3 and 0.6;
if the load type of the electric device is a time-variable load, the adjustability of the electric device is between 0.8 and 1.
In one embodiment, the demand-response requirement parameter of the electric device is calculated as follows:
S＝αφx
in the above formula, S is a demand response requirement parameter of the electric device, α is an adjustability of the electric device, Φ is a power consumption coefficient of the electric device, and x is a response willingness of the electric device.
In one embodiment, since the power levels of the loads of the users are different, when a demand responds, the load with lower power is completely turned off, and the reduction of the whole power level may not be greatly influenced, so that the power consumption coefficient of the electric equipment is defined to be in direct proportion to the power consumption of the electric equipment, and the value range is 0-2; the value range of the response willingness degree of the electric equipment is 0-2.
In one embodiment, it is difficult to accurately quantify the response will of the user due to uncertainty and difficulty in responding to various factors of the user (e.g., level of household income, educational background, residential conditions, etc.), electricity rate level, and exterior, such as weather, temperature, etc. So we define the response willingness x variable, define: x-2 indicates that the user has the highest response intention, and x-0 indicates that the user has no response intention.
In this embodiment, the step S102 includes:
when the demand response requirement parameter of the electric equipment is larger than the specified value of the demand response requirement parameter received by the electric equipment, the using power of the electric equipment with the load type of the variable-power load is reduced, or the using time length of the electric equipment with the load type of the variable-time load is shortened.
In one embodiment, under the price incentive of the demand response, the user can adjust the use of the equipment by the adjustable row of the electric equipment according to the own power utilization will and the power of the electric equipment. A load adjustment model under price incentive of demand response can be established according to the three load types as shown in fig. 2;
supposing that 100 resident users exist at present and the response willingness of the users obeys normal distribution, wherein the conditions of single electricity price and time-of-use electricity price are shown in fig. 3, the conditions can be obtained after simulation, after the time-of-use electricity price is implemented, the electricity utilization peak value of electric automobile equipment of each user is transferred from 18-21 h at night to 21-23 h at night, and it can be seen that the user response obviously relieves the peak of power demand and plays a better role in peak clipping and valley filling.
Further, after the demand response ends, the dissatisfaction of the user needs to be considered. When the actual use of the device is different from the expected use mode and use time of the device, the user generates more dissatisfaction expenditure. In the dispatching optimization of the household equipment, the use dissatisfaction degrees of various household equipment can be modeled respectively according to the use characteristics of different types of equipment, and normalization processing is carried out. Dissatisfaction expenditure is added into the response willingness of the user, so that the effect of demand response scheduling is improved.
Since rigid loads do not generally participate in demand response, we only examine the influence of two types of devices, namely power variable loads (devices) and time variable loads (devices), on users when making demand response.
In the present invention, the dissatisfaction degree calculation method of the power variable load will be described by taking an air conditioner as an example. The user can keep the indoor temperature in a certain range by adjusting the temperature of the air conditioner, so that the user is in a comfortable environment and the electric energy consumption and the electricity consumption expense are reduced as much as possible. Since the power consumption of the air conditioner is mainly affected by factors such as the outdoor temperature change, the indoor temperature setting, and the current indoor temperature, when the electric device is an air conditioner, the dissatisfaction evaluation index of the user is calculated by the following formula:
in the above formula, DISC is an index for evaluation of user dissatisfaction,
in order to obtain a lower limit value for the comfort temperature,
for comfort of the upper limit value of temperature, TempinFor the current time period indoor temperature, TempminFor permissible lower limit of indoor temperature, TempmaxIs an allowable upper limit value of the indoor temperature.
Further, the calculation formula of the indoor temperature in the current time period is as follows:
Tempin＝Tempin′+α(Tempout-Tempout′)+βP
in the above formula, Tempin' is the last period indoor temperature, TempoutFor the outdoor temperature, Temp, of the current time periodout' is the outdoor temperature of the last period, alpha is the characteristic coefficient of the outdoor temperature, beta is the characteristic coefficient of the electric equipment, and P is the power consumption of the electric equipment in the current period.
The dissatisfaction degree calculation method of the time-variable load is also described by taking an electric vehicle as an example. According to the travel habit of a general user, it can be assumed that the user selects a proper time for charging before going out in the morning next day after the next shift. The dissatisfaction degree of the user is described by using the charging state condition of the electric automobile, and the dissatisfaction degree of the user is related to the electric quantity state when the electric automobile finishes the demand response scheduling cycle, namely the dissatisfaction degree of the user is lower when the charging electric quantity of the electric automobile is larger, so that when the electric equipment is the electric automobile, the dissatisfaction degree evaluation index of the user is calculated by the following formula:
in the above equation, SOCminIs the lower limit value of the state of charge, SOCmaxIs the upper limit value of the state of charge, SOCinitThe initial state of charge of the electric vehicle is obtained, and the SOC is the state of charge of the electric vehicle in the current period.
Further, the calculation formula of the electric vehicle state of charge in the current time period is as follows:
in the above formula, CbattThe total electric quantity of the battery is represented by SOC' which is the state of charge of the electric vehicle in the last period, and P is the power consumption of the electric equipment in the current period.
In one embodiment, the initial state of charge of the electric vehicle is 20%, and the upper limit value of the state of charge of the electric vehicle is 95%, so as to examine the dissatisfaction condition of the electric vehicle in the change of the charging capacity of 20% -90% in the demand response stage, and according to the above formula, the dissatisfaction value of the user can be calculated when the charging capacity of the electric vehicle increases by 10%, as shown in table 2:
TABLE 2
| State of charge | 20％ | 30％ | 40％ | 50％ | 60％ | 70％ | 80％ | 90％ |
| Degree of dissatisfaction | 1 | 13/15 | 11/15 | 9/15 | 7/15 | 5/15 | 3/15 | 0 |
According to the data in the table, when the electric quantity state of the electric automobile is increased, the dissatisfaction value of the user is correspondingly reduced, and the basic requirements of the general user on charging the electric automobile are met. The dissatisfaction degree of the user can act on the user response willingness in the next demand response, so that the user willingness is not consistent with uniform distribution any more, and the next demand response is influenced.
In this embodiment, the updating the demand response correlation coefficient of the electric device based on the dissatisfaction evaluation index of the user includes:
updating the response willingness degree in the demand response correlation coefficient of the electric equipment according to the following formula:
x′＝x-DISC
in the above formula, x' is a response willingness degree update value in the demand response correlation coefficient of the electric equipment, x is a response willingness degree in the demand response correlation coefficient of the electric equipment, and DISC is an evaluation index of dissatisfaction degree of a user.
In one embodiment, the main objective of the dual-layer demand response scheduling strategy based on the user equipment level electricity utilization information is to reduce the user equipment usage expenditure and the dissatisfaction generated by the user in the demand response stage, i.e. to optimize the usage of the household equipment under the condition of meeting the basic demand of the user, thereby improving the satisfaction degree of the user equipment usage to the maximum extent and saving the equipment usage expenditure. The basic principle of the two-layer demand response scheduling policy based on the user equipment level power utilization information can be obtained as shown in fig. 4;
based on the same inventive concept, the present invention provides an electric power demand response scheduling apparatus, as shown in fig. 5, the electric power demand response scheduling apparatus including:
the determining module is used for determining a demand response requirement parameter of the electric equipment based on the demand response correlation coefficient of the electric equipment;
the scheduling module is used for performing power demand response scheduling on the electric equipment by using the demand response requirement parameters of the electric equipment;
and the updating module is used for calculating the dissatisfaction evaluation index of the user, updating the demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the determining module.
Preferably, the demand-response correlation coefficient includes at least an adjustability, an electric energy consumption coefficient, and a response willingness.
Further, the determining module further includes an adjustability determining module, which is specifically configured to:
dividing the load types of the electric equipment based on the equipment characteristics of the electric equipment;
the adjustability of the electrical device is determined based on a load type of the electrical device.
Further, the device features include at least: on-time, duration of use, power of use, and frequency of use.
Further, the dividing the load type of the electric equipment based on the electricity utilization characteristics of the electric equipment includes:
if the starting time, the using time length, the using power and the using frequency of the electric equipment are not adjustable, the load type of the electric equipment is a rigid load;
if the starting time, the using time length and the using frequency of the electric equipment are not adjustable and the using power is adjustable, the load type of the electric equipment is a power variable load;
if the starting time, the using time length and the using frequency of the electric equipment are adjustable and the using power is not adjustable, the load type of the electric equipment is a time variable load.
Further, the determining the adjustability of the electric device based on the load type of the electric device includes:
if the load type of the electric equipment is rigid load, the adjustability of the electric equipment is 0;
if the load type of the electric equipment is a power variable load, the adjustability of the electric equipment is between 0.3 and 0.6;
if the load type of the electric device is a time-variable load, the adjustability of the electric device is between 0.8 and 1.
Further, the calculation formula of the demand response requirement parameter of the electric equipment is as follows:
S＝αφx
in the above formula, S is a demand response requirement parameter of the electric device, α is an adjustability of the electric device, Φ is a power consumption coefficient of the electric device, and x is a response willingness of the electric device.
Furthermore, the power consumption coefficient of the electric equipment is in direct proportion to the power consumption of the electric equipment, and the value range is 0-2; the value range of the response willingness degree of the electric equipment is 0-2.
Further, the scheduling module is specifically configured to:
when the demand response requirement parameter of the electric equipment is larger than the specified value of the demand response requirement parameter received by the electric equipment, the using power of the electric equipment with the load type of the variable-power load is reduced, or the using time length of the electric equipment with the load type of the variable-time load is shortened.
Further, when the electric equipment is an air conditioner, the calculation formula of the dissatisfaction evaluation index of the user is as follows:
in the above formula, DISC is an index for evaluation of user dissatisfaction,
in order to obtain a lower limit value for the comfort temperature,
for comfort of the upper limit value of temperature, TempinFor the current time period indoor temperature, TempminFor permissible lower limit of indoor temperature, TempmaxIs an allowable upper limit value of the indoor temperature.
Further, the calculation formula of the indoor temperature in the current time period is as follows:
Tempin＝Tempin′+α(Tempout-Tempout′)+βP
in the above formula, Tempin' is the last period indoor temperature, TempoutFor the outdoor temperature, Temp, of the current time periodout' is the outdoor temperature of the last period, alpha is the characteristic coefficient of the outdoor temperature, beta is the characteristic coefficient of the electric equipment, and P is the power consumption of the electric equipment in the current period.
Further, when the electric device is an electric vehicle, the calculation formula of the dissatisfaction evaluation index of the user is as follows:
in the above equation, SOCminIs the lower limit value of the state of charge, SOCmaxIs the upper limit value of the state of charge, SOCinitThe initial state of charge of the electric vehicle is obtained, and the SOC is the state of charge of the electric vehicle in the current period.
Further, the calculation formula of the electric vehicle state of charge in the current time period is as follows:
in the above formula, CbattThe total electric quantity of the battery is represented by SOC' which is the state of charge of the electric vehicle in the last period, and P is the power consumption of the electric equipment in the current period.
Further, the updating the demand response correlation coefficient of the electric device based on the dissatisfaction evaluation index of the user includes:
updating the response willingness degree in the demand response correlation coefficient of the electric equipment according to the following formula:
x′＝x-DISC
in the above formula, x' is a response willingness degree update value in the demand response correlation coefficient of the electric equipment, x is a response willingness degree in the demand response correlation coefficient of the electric equipment, and DISC is an evaluation index of dissatisfaction degree of a user.
Further, the present invention provides a storage medium, where the storage medium includes a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the power demand response scheduling method.
Further, the present invention provides a processor, where the processor is configured to execute a program, where the program executes the power demand response scheduling method when running.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (17)
1. A power demand response scheduling method, the method comprising:
s101, determining a demand response requirement parameter of the electric equipment based on a demand response correlation coefficient of the electric equipment;
s102, performing power demand response scheduling on the electric equipment by using demand response requirement parameters of the electric equipment;
s103, calculating the dissatisfaction evaluation index of the user, updating the demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the step S101.
2. The method of claim 1, wherein the demand-response-related coefficients include at least a degree of adjustability, a coefficient of power consumption, and a willingness to respond.
3. The method of claim 2, wherein step S101 is preceded by:
dividing the load types of the electric equipment based on the equipment characteristics of the electric equipment;
the adjustability of the electrical device is determined based on a load type of the electrical device.
4. The method of claim 3, wherein the device characteristics comprise at least: on-time, duration of use, power of use, and frequency of use.
5. The method of claim 4, wherein the classifying the load type of the powered device based on the power usage characteristics of the powered device comprises:
if the starting time, the using time length, the using power and the using frequency of the electric equipment are not adjustable, the load type of the electric equipment is a rigid load;
if the starting time, the using time length and the using frequency of the electric equipment are not adjustable and the using power is adjustable, the load type of the electric equipment is a power variable load;
if the starting time, the using time length and the using frequency of the electric equipment are adjustable and the using power is not adjustable, the load type of the electric equipment is a time variable load.
6. The method of claim 5, wherein determining the degree of adjustability of the powered device based on the load type of the powered device comprises:
if the load type of the electric equipment is rigid load, the adjustability of the electric equipment is 0;
if the load type of the electric equipment is a power variable load, the adjustability of the electric equipment is between 0.3 and 0.6;
if the load type of the electric device is a time-variable load, the adjustability of the electric device is between 0.8 and 1.
7. The method of claim 2, wherein the demand response requirement parameter of the powered device is calculated as follows:
S＝αφx
in the above formula, S is a demand response requirement parameter of the electric device, α is an adjustability of the electric device, Φ is a power consumption coefficient of the electric device, and x is a response willingness of the electric device.
8. The method of claim 7, wherein the power consumption coefficient of the electric device is proportional to the power consumption of the electric device, and has a value in a range of 0-2; the value range of the response willingness degree of the electric equipment is 0-2.
9. The method of claim 5, wherein the step S102 comprises:
when the demand response requirement parameter of the electric equipment is larger than the specified value of the demand response requirement parameter received by the electric equipment, the using power of the electric equipment with the load type of the variable-power load is reduced, or the using time length of the electric equipment with the load type of the variable-time load is shortened.
10. The method of claim 5, wherein the dissatisfaction evaluation index of the user is calculated as follows when the electric device is an air conditioner:
in the above formula, DISC is an index for evaluation of user dissatisfaction,
in order to obtain a lower limit value for the comfort temperature,
for comfort of the upper limit value of temperature, TempinFor the current time period indoor temperature, TempminFor permissible lower limit of indoor temperature, TempmaxIs an allowable upper limit value of the indoor temperature.
11. The method of claim 10, wherein the current time period indoor temperature is calculated as follows:
Tempin＝Tempin′+α(Tempout-Tempout′)+βP
in the above formula, Tempin′For the last period of indoor temperature, TempoutFor the outdoor temperature, Temp, of the current time periodout′The outdoor temperature in the last time period is shown, alpha is an outdoor temperature characteristic coefficient, beta is an electric equipment characteristic coefficient, and P is the power consumption of the electric equipment in the current time period.
12. The method of claim 5, wherein the dissatisfaction evaluation index of the user is calculated as follows when the powered device is an electric vehicle:
in the above equation, SOCminIs the lower limit value of the state of charge, SOCmaxIs the upper limit value of the state of charge, SOCinitThe initial state of charge of the electric vehicle is obtained, and the SOC is the state of charge of the electric vehicle in the current period.
13. The method of claim 2, wherein the current time period electric vehicle state of charge is calculated as follows:
in the above formula, CbattThe total electric quantity of the battery is represented by SOC' which is the state of charge of the electric vehicle in the last period, and P is the power consumption of the electric equipment in the current period.
14. The method of claim 2, wherein updating the demand-response correlation coefficient for the powered device based on the dissatisfaction evaluation index of the user comprises:
updating the response willingness degree in the demand response correlation coefficient of the electric equipment according to the following formula:
x′＝x-DISC
in the above formula, x' is a response willingness degree update value in the demand response correlation coefficient of the electric equipment, x is a response willingness degree in the demand response correlation coefficient of the electric equipment, and DISC is an evaluation index of dissatisfaction degree of a user.
15. An electric power demand response scheduling apparatus, characterized in that the apparatus comprises:
the determining module is used for determining a demand response requirement parameter of the electric equipment based on the demand response correlation coefficient of the electric equipment;
the scheduling module is used for performing power demand response scheduling on the electric equipment by using the demand response requirement parameters of the electric equipment;
and the updating module is used for calculating the dissatisfaction evaluation index of the user, updating the demand response correlation coefficient of the electric equipment based on the dissatisfaction evaluation index of the user, and returning to the determining module.
16. A storage medium comprising a stored program, wherein when the program is executed, a device in which the storage medium is located is controlled to execute the power demand response scheduling method according to any one of claims 1 to 14.
17. A processor configured to run a program, wherein the program is configured to execute the power demand response scheduling method according to any one of claims 1 to 14 when the program is run.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116388205A (en) * | 2023-06-06 | 2023-07-04 | 中国电力科学研究院有限公司 | Load equipment power regulation and control method and device suitable for intelligent energy unit |
| WO2023159987A1 (en) * | 2022-02-25 | 2023-08-31 | 珠海格力电器股份有限公司 | Power demand response adjustment method and apparatus, and computer device and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023159987A1 (en) * | 2022-02-25 | 2023-08-31 | 珠海格力电器股份有限公司 | Power demand response adjustment method and apparatus, and computer device and storage medium |
| CN116388205A (en) * | 2023-06-06 | 2023-07-04 | 中国电力科学研究院有限公司 | Load equipment power regulation and control method and device suitable for intelligent energy unit |
| CN116388205B (en) * | 2023-06-06 | 2023-08-11 | 中国电力科学研究院有限公司 | Load equipment power regulation and control method and device suitable for intelligent energy unit |
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