CN116417990A - Industrial park demand response resource characteristic analysis method and related equipment - Google Patents
Industrial park demand response resource characteristic analysis method and related equipment Download PDFInfo
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Abstract
The application provides an industrial park demand response resource characteristic analysis method and related equipment. The method comprises the following steps: acquiring electricity utilization information of each user in an industrial park; for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information; sending a corresponding alternative electricity utilization strategy to the user in the industrial park; receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy. According to the scheme, the electricity utilization strategy is flexibly customized according to the acquired electricity utilization information of the user, and the electricity utilization strategy is sent to the user for determining the target electricity utilization strategy, so that the user can adjust the electricity utilization based on the target electricity utilization strategy, and further the stable, high-speed, safe and reliable operation of the industrial park power grid is realized.
Description
Technical Field
The application relates to the technical field of power systems, in particular to an industrial park demand response resource characteristic analysis method and related equipment.
Background
The demand side response is a derivative of demand side management. However, the load management mode of the response of the demand side is different from the traditional load management mode of the demand side: the processing mode of the load on the demand side response tends to adjust the load demand or the electricity consumption mode from the point of view of market conditions, particularly price signals, so as to promote market stability and power grid reliability.
In the related art, the management is mainly performed manually, but with the continuous popularization of management measures at the demand side, the management of various demand sides is simply performed by means of manpower and administration, so that the requirements of management, popularization, analysis and the like of management work at the power demand side are difficult to meet.
Disclosure of Invention
In view of the foregoing, it is an object of the present application to provide a method and related apparatus for analyzing demand response resource characteristics of an industrial park, so as to solve or partially solve the above-mentioned problems.
In a first aspect of the present application, a method for analyzing characteristics of demand response resources of an industrial park implemented by using a monitoring platform is provided, including:
acquiring electricity utilization information of each user in an industrial park;
for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information;
sending a corresponding alternative electricity utilization strategy to the user in the industrial park;
receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy.
Optionally, the alternative electricity utilization strategy comprises a time-of-use electricity price standard, a recommended electricity utilization time period and an electricity utilization load of the recommended electricity utilization time period;
and for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information, including:
for each user, determining an electricity consumption peak period, an electricity consumption valley period, an electricity consumption load of the electricity consumption peak period and an electricity consumption load of the electricity consumption valley period according to the electricity consumption information;
inputting the electricity consumption peak period, the electricity consumption valley period, the electricity consumption load of the electricity consumption peak period and the electricity consumption load of the electricity consumption valley period into a pre-built multi-objective optimization model to obtain a recommended electricity consumption time period;
and calculating the electricity load of the recommended electricity consumption time period according to the recommended electricity consumption time period.
Optionally, the sending the corresponding alternative electricity utilization policy to the user in the industrial park includes:
sequentially sending corresponding alternative electricity utilization strategies to the users in the industrial park according to the predetermined electricity utilization priority;
further comprising determining the power usage priority by:
obtaining the production type and market demand of each user in the industrial park;
grading the users according to the market demand degree to obtain corresponding demand grades;
based on a preset basic weight coefficient and a first weight coefficient corresponding to the production type, obtaining the electricity utilization priority through calculation;
the electricity utilization priority is calculated by the following formula:
electricity priority = first weight coefficient + base weight coefficient demand level + 1/electricity load.
Optionally, the multi-objective function of the multi-objective optimization model is:
wherein L represents the peak-valley difference of the power grid load of the industrial park after optimization; l (L) 1 The power load value of the peak period of the power network of the industrial park after optimization is represented; l (L) 2 Representing the electricity load value of the optimized industrial park power grid in the valley period; h represents the electricity charge of the optimized user; h is a 1 Representing the electricity charge of the user in the peak period after optimization; h is a 2 And the electricity charge of the user in the valley period after optimization is represented.
Optionally, the constraints of the multi-objective optimization model include interruptible load constraints and transferable load constraints;
the interruptible load constraint conditions are:
wherein,,
representing the earliest allowable starting time of the electric equipment i of the user after optimization; />
Representing the latest allowable starting time of the electric equipment i of the user after optimization; />
The allowable starting time of the electric equipment i of the user after optimization is represented; />
The allowable closing time of the electric equipment i of the user after optimization is represented; s is S IL (t) indicates whether or not the interruptible load is in a start state at time t; t is t t To be from->
The time of the minimum continuous work of the interruptible load from moment to moment;
the transferable load constraint conditions are:
wherein S is TL (t) indicates whether or not the transferable load is in an on state at the time t; t is t t ' as slave
Time of minimum continuous operation from moment to moment, in which load can be transferred.
Optionally, the method further comprises:
formulating an updated alternative electricity utilization strategy according to the target electricity utilization strategy;
sending the updated alternative electricity utilization strategy to the user;
receiving an updated target electricity utilization strategy sent by the user; wherein the updated target power usage policy is determined based on the updated alternative power usage policy.
In a second aspect of the present application, a method for analyzing characteristics of demand response resources of an industrial park implemented through an operation platform is provided, including:
the electricity consumption information is sent to a monitoring platform;
receiving an alternative power utilization strategy sent by the monitoring platform; wherein the alternative electricity utilization strategy is formulated by the monitoring platform according to the electricity utilization information;
determining a target electricity utilization strategy according to the alternative electricity utilization strategy;
and sending the target electricity utilization strategy to the monitoring platform.
In a third aspect of the present application, a monitoring platform is provided, the monitoring platform is arranged at an industrial park power grid, the monitoring platform includes:
an acquisition module configured to: acquiring electricity utilization information of each user in an industrial park;
a formulation module configured to: for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information;
a first transmission module configured to: sending a corresponding alternative electricity utilization strategy to the user in the industrial park;
a first receiving module configured to: receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy.
In a fourth aspect of the present application, there is provided an operation platform, the operation platform being arranged at a user, the operation platform comprising:
a second transmission module configured to: the electricity consumption information is sent to a monitoring platform;
a second receiving module configured to: receiving an alternative power utilization strategy sent by the monitoring platform; wherein the alternative electricity utilization strategy is formulated by the monitoring platform according to the electricity utilization information;
a determination module configured to: determining a target electricity utilization strategy according to the alternative electricity utilization strategy;
a third transmission module configured to: and sending the target electricity utilization strategy to the monitoring platform.
In a fifth aspect of the present application, there is provided an industrial park demand response resource characteristic analysis system, comprising:
the monitoring platform as described in the third aspect and the operating platform as described in the fourth aspect.
From the above, it can be seen that the analysis method and the related equipment for the demand response resource characteristics of the industrial park provided by the application flexibly customize the electricity utilization strategy according to the obtained electricity utilization information of the user, and send the electricity utilization strategy to the user for determining the target electricity utilization strategy, so that the user can adjust the electricity utilization based on the target electricity utilization strategy, and further realize stable, high-speed, safe and reliable operation of the power grid of the industrial park.
Drawings
In order to more clearly illustrate the technical solutions of the present application or related art, the drawings that are required to be used in the description of the embodiments or related art will be briefly described below, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort to those of ordinary skill in the art.
FIG. 1 is a schematic flow chart of an analysis method of demand response resource characteristics of an industrial park implemented by a monitoring platform according to an embodiment of the present application;
FIG. 2 is a schematic illustration of an exemplary daily load profile;
FIG. 3 is a flow chart of an analysis method of demand response resource characteristics of an industrial park implemented by an operation platform according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a monitoring platform according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an operation platform according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application is given with reference to the accompanying drawings.
It should be noted that unless otherwise defined, technical or scientific terms used in the embodiments of the present application should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present application belongs. The terms "first," "second," and the like, as used in embodiments of the present application, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
The Demand Response (DR), that is, the short term of the power Demand Response, refers to the short term behavior that when the price of the wholesale market of power increases or the reliability of the system is compromised, after receiving a direct compensation notification of the induced load reduction or the power price increase signal sent by the power supply party, the power consumer changes the inherent habit power consumption mode thereof, and reaches the purpose of reducing or pushing the power load in a certain period to respond to the power supply, thereby ensuring the stability of the power grid and inhibiting the increase of the power price. It is one of the solutions for Demand Side Management (DSM).
The demand side management is to guide the user to scientifically and reasonably use electricity through a series of approaches, such as economic subsidy means, mandatory legal means, propaganda means and the like, for adjusting the load of the user or the electricity consumption mode. Demand side management is an important energy-saving approach aimed at reducing load demand and installed capacity, shifting part of peak load to valley period and reducing load peak-valley difference.
The demand side response is a derivative of demand side management. However, the load management mode of the response of the demand side is different from the traditional load management mode of the demand side: the processing mode of the load on the demand side response tends to adjust the load demand or the electricity consumption mode from the point of view of market conditions, particularly price signals, so as to promote market stability and power grid reliability. While load management in demand side management is typically to actively shut off the power supply within the system using load control devices during some suitable period of time, shifting the load from peak to valley. The openness of the power market and the availability of real-time prices are the preconditions for demand-side response implementation. The demand side management is only one means of load control, and the actual inductance of the user cannot be considered from the practical situation, and in this point, the demand side response can more effectively meet the demand.
In the related art, the management is mainly performed manually, but with the continuous popularization of management measures at the demand side, the management of various demand sides is simply performed by means of manpower and administration, so that the requirements of management, popularization, analysis and the like of management work at the power demand side are difficult to meet.
In view of this, the embodiment of the application provides an analysis method for demand response resource characteristics of an industrial park and related equipment, which flexibly customizes an electricity consumption strategy according to acquired electricity consumption information of a user, and sends the electricity consumption strategy to the user for determining a target electricity consumption strategy, so that the user can adjust electricity consumption based on the target electricity consumption strategy, and further realize stable, high-speed, safe and reliable operation of an industrial park power grid.
It should be noted that the embodiments of the present application may be limited to a certain industrial park in a administrative area. Taking a district city as an example, there may be different parks, such as a university science and technology park, a startup park, etc. These parks aggregate several businesses, i.e., multiple industry user entities.
It should be appreciated, therefore, that multiple industrial parks may also need to be divided prior to demand response resource characterization, such that users are assigned to corresponding industrial parks. Specifically, the registration information of a plurality of users and the registration information of a plurality of industrial parks can be acquired first; wherein the number of users is greater than the number of industrial parks; and then distributing each user to the corresponding industrial park according to the registration information and the registration information. Thus, by comparing the user's registered location information with the industrial park address information, when the user registered location information matches one of the industrial park address information, the user is drawn into the corresponding industrial park.
As an alternative embodiment, an operating platform arranged at the user may be provided with a login module, and the login module is configured to register user information. The user information may include a user name, registration place information, a production type, a market demand level, electricity consumption information, and the like. In this way, a monitoring platform disposed at the industrial park grid may obtain the user information by sending a request to the operating platform.
It should be noted that, in the embodiment of the present application, a communication connection may be established between the monitoring platform and the operation platform. Including but not limited to, communication based on TCP/IP, RS-485, lora, WIFI, etc.
In the embodiment of the application, a plurality of industrial user bodies exist in the industrial park, and each user can coordinate and cooperate with each other in the process of performing the comprehensive demand response so as to obtain a comprehensive demand response scheme for optimizing the whole industrial park.
In the embodiment of the application, on the basis of the user response time-of-use electricity price, a reasonable industrial park demand response mechanism is designed aiming at peak regulation demand response, so that the optimal demand response scheme of the user self can also optimize the whole industrial park.
Referring to fig. 1, a flow chart of an industrial park demand response resource characteristic analysis method 100 implemented by a monitoring platform according to an embodiment of the present application is shown. As shown in fig. 1, the method 100 may include the following steps.
And step S101, acquiring electricity information of each user in the industrial park.
In this embodiment, an acquisition request may be sent to each user, and after verification of the user, the power consumption information of the user is received, so that successful acquisition of the power consumption information of all users in the industrial park is achieved. In addition, the process of checking and transmitting the electricity consumption information for the user will be described in detail in the corresponding embodiments later.
Step S102, for each user, a corresponding alternative electricity utilization strategy is formulated according to the electricity utilization information. The alternative electricity utilization strategy comprises a time-of-use electricity price standard, a recommended electricity utilization time period and an electricity utilization load of the recommended electricity utilization time period.
In this embodiment, for each user, determining an electricity consumption peak period, an electricity consumption valley period, and an electricity consumption load of the electricity consumption peak period and the electricity consumption load of the electricity consumption valley period according to the electricity consumption information; inputting the electricity consumption peak period, the electricity consumption valley period, the electricity consumption load of the electricity consumption peak period and the electricity consumption load of the electricity consumption valley period into a pre-built multi-objective optimization model to obtain a recommended electricity consumption time period; and calculating the electricity load of the recommended electricity consumption time period according to the recommended electricity consumption time period.
In this embodiment, the electricity consumption represents the electricity consumption load of the user in a preset time period. For example, for a period of one or two months, continuous daily electrical loads over the period of time are obtained by continuous tracking. Thus, a daily load curve can be drawn according to the electricity consumption information of the user, so that the electricity consumption peak period and the electricity consumption valley period of the user can be determined. For example, 8:00-22:00 are peak electricity usage periods, and 22:00-the next day 8:00 are valley electricity usage periods. Further, the electricity load of the electricity consumption peak period and the electricity load of the electricity consumption valley period are determined.
Of course, the level peak period may be further divided. Referring to FIG. 2, a schematic diagram of an exemplary daily load profile is shown. As shown in FIG. 2, 8:00-11:00 and 18:00-23:00 are peak electricity usage periods, which are periods of insufficient power; 23:00-7:00 the next day is the electricity consumption valley period, which is the period of excessive power; the rest period is the level peak period.
In some embodiments, the daily load curve may be obtained by counting the electricity load conditions of each time period based on the electricity information and plotting the electricity load conditions on a graph with time on the abscissa and electricity load on the ordinate.
In some embodiments, the recommended electricity usage period is calculated based on the principles of "peak clipping and valley filling" and "peak shaving capacity for economic compensation" according to the multi-objective optimization model. Therefore, by recommending the power utilization time period and transferring or adjusting part of peak power utilization to the valley time period, the peak power supply and demand gap is relieved, and the optimal configuration of power resources is promoted.
It can be understood that the time-sharing electricity price is set for reducing the power load in the peak period so as to achieve the purposes of peak clipping, valley filling, peak regulation and capacity expansion. The time-of-use electricity price standard may be formulated by specifically defining each time period according to the power grid information of the industrial park and the electricity consumption information of the users in the industrial park, that is, according to the time when the peak-to-valley load of the industrial park occurs, which is not limited in this embodiment.
In particular, 24 hours of a day may be divided into several time periods, and different electricity price criteria may be implemented during these different time periods to achieve separate price charges. For example, 24 hours of a day may be divided into two time periods, and a total of 14 hours of 8:00 to 22:00 are called peak periods, and peak electricity prices are performed; 22:00-8:00 a total of 10 hours on the next day, called valley period, the valley electricity price, that is, the peak-valley electricity price, is performed.
In some alternative embodiments, the multi-objective optimization model may be pre-constructed and trained based on multi-objective functions. Specifically, the multi-objective optimization model may include a neural network model such as a self-learning model based on a convolutional network.
In some alternative embodiments, the multi-objective function of the multi-objective optimization model is:
wherein L represents the peak-valley difference of the power grid load of the industrial park after optimization; l (L) 1 The power load value of the peak period of the power network of the industrial park after optimization is represented; l (L) 2 Representing the electricity load value of the optimized industrial park power grid in the valley period; h represents the electricity charge of the optimized user; h is a 1 Representing the electricity charge of the user in the peak period after optimization; h is a 2 And the electricity charge of the user in the valley period after optimization is represented. It is understood that the optimization is performed after the adjustment by the power utilization strategy.
Therefore, an alternative electricity utilization strategy is formulated by taking the multi-objective function with the minimum peak-valley difference of the power grid load of the industrial park and the minimum electricity charge under the time-of-use electricity price standard as targets.
It should be noted that, the constraints of the multi-objective optimization model include interruptible load constraints and transferable load constraints.
The interruptible load constraint conditions are:
wherein,,
representing the earliest allowable starting time of the electric equipment i of the user after optimization; />
Representing the latest allowable starting time of the electric equipment i of the user after optimization; />
The allowable starting time of the electric equipment i of the user after optimization is represented; />
The allowable closing time of the electric equipment i of the user after optimization is represented; s is S IL (t) indicates whether or not the interruptible load is in a start state at time t; t is t t To be from->
The time of the minimum continuous work of the interruptible load from moment to moment;
the transferable load constraint conditions are:
wherein S is TL (t) indicates whether or not the transferable load is in an on state at the time t; t is t t ' as slave
Time of minimum continuous operation from moment to moment, in which load can be transferred.
Further, the specific judgment principle of the minimum electricity charge under the time-of-use electricity price standard is as follows:
wherein,,
load migration capacity representing the nth electricity peak time; />
Load carrying capacity representing an nth household electricity valley period; e (t) represents load elasticity and is a calculation function for performing calculus operation on time; p (P) n (t) represents the minimum value of the daily load curve on the nth day, i.e., the minimum load value; />
A maximum value of the daily load curve on the nth day, that is, a maximum load value; />
The difference between the maximum value and the minimum value of the daily load curve representing the nth day, i.e., the peak-to-valley load value, is defined as the remaining loadable capacity.
It should be understood that if the load of the user is time-resilient in a certain period, it is explained that the user may autonomously select to transfer the peak electricity consumption to the valley according to the current electricity price policy; in contrast, if the user does not have time elasticity or has small elasticity, the electricity consumption of the user in the period is regular or fixed, and the electricity consumption transfer can not be performed according to the time-sharing electricity price or the electricity consumption which can be transferred is very small.
That is, the load migration capacity in the peak period of electricity consumption is determined by the load amount in each period of peak electricity consumption and the load elasticity in that period, and the larger the load amount is, the higher the load elasticity is, the larger the load migration capacity in the peak period is; similarly, the larger the remaining loadable capacity, the greater the load elasticity, the greater the valley load carrying capacity.
Thus, the electricity optimization expression on the nth day can be expressed as:
thus, by using single optimization, peak period movable loads are finally moved to valley periods, the maximum daily load peak value after power consumption optimization is not increased, larger capacity pressure is avoided for the power grid, and the total power consumption is not changed in power consumption optimization.
Further, the allowable on time and the allowable off time of the other electric equipment j of the user after optimization can be calculated respectively through the following formulas.
Wherein,,
the allowable starting time of the electric equipment i of the user after optimization is represented; />
The allowable starting time of the electric equipment j of the user after optimization is represented; c ij And the association coefficient of the electric equipment i and the electric equipment j is represented.
Wherein,,
representation optimizationThe allowable closing time of the electric equipment i of the user is later; />
And indicating the allowable closing time of the electric equipment j of the user after optimization.
In this way, the relevant parameter of the other unknown consumer j of the user is calculated from the calculated recommended power consumption period (the permitted on-time and the permitted off-time of the consumer i), i.e. from the consumers of which the permitted on-time and the permitted off-time are known. And the recommended electricity utilization time period of all the electric equipment of the user can be obtained through calculation. And calculating the electricity load of the recommended electricity utilization time period.
Specifically, the power consumption load of the recommended power consumption time period can be calculated according to the power consumption power of each electric equipment of the user and the corresponding recommended power consumption time period, so that the total power consumption load of the user is obtained.
In addition, in the process of calculating and formulating the alternative electricity utilization strategy, abnormal data, such as electricity utilization fault data, can be removed in advance, so that the operation amount is reduced, and the calculation efficiency is improved. Specifically, the multi-objective optimization model can be utilized to remove abnormal data, and the data can be initially screened before relevant data are input into the multi-objective optimization model so as to realize edge data processing.
And step 103, sending a corresponding alternative electricity utilization strategy to the user in the industrial park.
In this embodiment, the corresponding alternative electricity utilization strategies may be sequentially sent to the users in the industrial park according to the predetermined electricity utilization priority. It will be appreciated that the higher the power usage priority of the user, the earlier the order in which the user is sent the corresponding alternative power usage policy. Therefore, based on the electricity utilization priority, the enterprises with urgent needs or enterprises with urgent needs for the market or some enterprises with high and new technologies can preferentially receive the corresponding alternative electricity utilization strategies, so that the selection can be preferentially carried out subsequently to determine the target electricity utilization strategy, and the preferential power supply is realized.
In particular implementations, the power usage priority may be determined by: obtaining the production type and market demand of each user in the industrial park; grading the users according to the market demand degree to obtain corresponding demand grades; and calculating to obtain the electricity utilization priority based on a preset basic weight coefficient and a first weight coefficient corresponding to the production type.
In some embodiments, the users may be classified into a flow type enterprise and an assembly type enterprise according to the production type, and since the flow type enterprise is a mature enterprise and the assembly type enterprise is mostly constructed by manpower, the first weight coefficient corresponding to the flow type enterprise is greater than that of the assembly type enterprise. For example, if the first weight coefficient of the flow-type enterprise is q and the first weight coefficient of the assembly-type enterprise is p, q > p.
Alternatively, the production type may also include a processing type enterprise, a production type enterprise, and the like. The first weight coefficients corresponding to the first weight coefficients can be set according to specific application requirements or application scenes. Also, it should be understood that the type of production is not fixed and may be adjusted to the market. Therefore, the production type and the setting of the first weight coefficient thereof are not particularly limited in this embodiment.
In some embodiments, users may be ranked according to market demand, i.e., according to market feedback, etc., resulting in corresponding demand levels. For example, it is classified into 10 stages according to market demand level, and the higher the demand level is, the higher the degree of market demand level thereof (stage 1 represents the lowest market demand level, and stage 10 represents the highest market demand level). Wherein the weight coefficient of each demand level is defined as a base weight coefficient.
Further, a calculation formula of the electricity utilization priority is obtained:
power utilization priority = first weight coefficient + second weight coefficient + 1/power utilization load;
and the second weight coefficient corresponding to the demand level=a preset basic weight coefficient.
That is, the electricity priority is calculated by the following formula:
electricity priority = first weight coefficient + base weight coefficient demand level + 1/electricity load.
The first weight coefficient and the basic weight coefficient may be reset each time the electricity usage policy is established, or the value set for one administrative area (for example, a city of a setting area) or one industrial park may be kept unchanged. That is, the configuration may be set according to the specific application requirements, and is not limited in this embodiment.
Step S104, receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy.
In this embodiment, the alternative power utilization strategies corresponding to the user may include multiple types. Specifically, in response to determining that the alternative power utilization strategy of the user is greater than one, receiving a target power utilization strategy sent by the user, wherein the target power utilization strategy can be determined by the user selecting the alternative power utilization strategy; in response to determining that the alternative power usage policy of the user includes only one, the alternative power usage policy is directly targeted.
Further, an updated alternative electricity utilization strategy is formulated according to the target electricity utilization strategy; sending the updated alternative electricity utilization strategy to the user; receiving an updated target electricity utilization strategy sent by the user; wherein the updated target power usage policy is determined based on the updated alternative power usage policy. Therefore, the power consumption strategy can be further optimized according to the received feedback selection result, namely, the power consumption information of the user obtained after the power consumption of the user is adjusted according to the target power consumption strategy until the power consumption strategy reaches the optimal (the peak-valley difference of the power grid of the industrial park is minimum and the power charge is minimum under the time-of-use power price standard).
In addition, in some optional embodiments, in the process of acquiring electricity information of each user in the industrial park, making a corresponding alternative electricity utilization strategy, receiving a target electricity utilization strategy sent by the user, and the like, related data needs to be stored for subsequent reference or call.
In some alternative embodiments, the user's contribution to grid conditioning may be evaluated. In particular, the contribution effect of grid regulation may be determined from the ratio of the peak-to-peak electrical load of the user after optimization (after adjustment by the electrical strategy) to the peak-to-peak electrical load before optimization.
Fig. 3 illustrates a flow diagram of an industrial park demand response resource profile analysis method 300 implemented by an operating platform in accordance with an embodiment of the present application. As shown in fig. 3, the method may include the following steps.
Step S301, electricity consumption information is sent to a monitoring platform.
In this embodiment, in response to receiving the acquisition request, identity verification is performed on the request initiator, and after the verification is passed, (i.e., it is determined that the acquisition request is sent by a monitoring platform at the industrial park grid), the acquisition request is accepted and self electricity information is sent. Specifically, the electricity consumption represents the electricity consumption load of the user in a preset time period.
Step S302, receiving an alternative power utilization strategy sent by the monitoring platform; the alternative electricity utilization strategy is formulated by the monitoring platform according to the electricity utilization information.
In this embodiment, the alternative electricity utilization strategies may include several types, and each of the alternative electricity utilization strategies includes a time-of-use electricity price standard, a recommended electricity utilization period, and an electricity utilization load of the recommended electricity utilization period.
Step S303, determining a target electricity utilization strategy according to the alternative electricity utilization strategy.
In this embodiment, in response to determining that the alternative power utilization policy is greater than one, selecting the alternative power utilization policy to determine a target power utilization policy; in response to determining that the alternative power usage policy includes only one, the alternative power usage policy is directly treated as a target power usage policy.
And step S304, the target electricity utilization strategy is sent to the monitoring platform.
Therefore, the monitoring platform can further optimize the electricity utilization strategy according to the feedback selection result (the target electricity utilization strategy and the user electricity utilization after the electricity utilization is adjusted according to the target electricity utilization strategy).
In addition, in some alternative embodiments, the user electricity information and the actual value (corresponding data of the power grid) acquired by the monitoring platform can be verified. The model machine related to load flexibility mining and data processing (wherein the model machine is a platform carrying software for realizing the embodiment) can be customized, an electricity utilization strategy of industrial load participating in source network load interaction is designed, and the model machine is deployed to acquire actual process production data, so that verification optimization of an industrial load adjustable capacity assessment model is performed.
According to the method for analyzing the characteristics of the demand response resources of the industrial park, secondary load distribution and adjustable space of the industrial park users are comprehensively combed, the analysis technology of the characteristics of the demand response resources of the industrial park is mainly broken through, the typical industrial park demand response characteristics user is portrayed, a business mode (namely, an electricity utilization strategy) of the industrial load participating in source network load interaction is formed, real adjustment potential of the industrial users is exerted, auxiliary services such as peak clipping are provided for an upper power grid, and the utilization efficiency of power grid equipment and the new energy consumption level are improved.
It should be noted that some embodiments of the present application are described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
It can be appreciated that the method of the present embodiment may be applied in a distributed scenario, where multiple devices cooperate with each other to complete the method. One of the devices may perform only one or more steps of the methods of embodiments of the present application, and the devices interact with each other to complete the methods.
Based on the same technical concept, the application also provides a monitoring platform 400. Specifically, the monitoring platform 400 is disposed at the industrial park power grid, and the monitoring platform 400 has the beneficial effects of the corresponding method embodiments, which are not described herein.
Referring to fig. 4, the monitoring platform 400 includes:
an acquisition module 401 configured to: acquiring electricity utilization information of each user in an industrial park;
a formulation module 402 configured to: for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information;
a first transmitting module 403 configured to: sending a corresponding alternative electricity utilization strategy to the user in the industrial park;
a first receiving module 404 configured to: receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy.
In some alternative embodiments, formulation module 402 is specifically configured to: for each user, determining an electricity consumption peak period, an electricity consumption valley period, an electricity consumption load of the electricity consumption peak period and an electricity consumption load of the electricity consumption valley period according to the electricity consumption information; inputting the electricity consumption peak period, the electricity consumption valley period, the electricity consumption load of the electricity consumption peak period and the electricity consumption load of the electricity consumption valley period into a pre-built multi-objective optimization model to obtain a recommended electricity consumption time period; and calculating the electricity load of the recommended electricity consumption time period according to the recommended electricity consumption time period.
In some alternative embodiments, the first sending module 403 is specifically configured to: and sequentially sending corresponding alternative electricity utilization strategies to the users in the industrial park according to the predetermined electricity utilization priority.
Further, the present application also provides an operation platform 500. Specifically, the operation platform 500 is disposed at the user, and the operation platform 500 has the beneficial effects of the corresponding method embodiments, which are not described herein.
Referring to fig. 5, the operation platform 500 includes:
a second transmitting module 501 configured to: the electricity consumption information is sent to a monitoring platform;
a second receiving module 502 configured to: receiving an alternative power utilization strategy sent by the monitoring platform; wherein the alternative electricity utilization strategy is formulated by the monitoring platform according to the electricity utilization information;
a determining module 503 configured to: determining a target electricity utilization strategy according to the alternative electricity utilization strategy;
a third transmitting module 504 configured to: and sending the target electricity utilization strategy to the monitoring platform.
In some alternative embodiments, the second sending module 501 is specifically configured to: and responding to the received acquisition request, carrying out identity verification on the request initiator, accepting the acquisition request after the verification is passed, and sending the self electricity consumption information.
In some alternative embodiments, the determining module 503 is specifically configured to: in response to determining that the alternative power usage policy is greater than one, selecting the alternative power usage policy to determine a target power usage policy; in response to determining that the alternative power usage policy includes only one, the alternative power usage policy is directly treated as a target power usage policy.
In addition, the application also provides an industrial park demand response resource characteristic analysis system, which comprises the monitoring platform 400 and the operation platform 500. The industrial park demand response resource characteristic analysis system utilizes the monitoring platform 400 and the operation platform 500, flexibly customizes the electricity utilization strategy according to the acquired electricity utilization information of the user, and enables the user to receive and determine the target electricity utilization strategy so as to adjust the electricity utilization based on the target electricity utilization strategy, thereby realizing stable, high-speed, safe and reliable operation of the industrial park power grid.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the application (including the claims) is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the present application, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the embodiments of the present application. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the embodiments of the present application, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform on which the embodiments of the present application are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the present application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The present embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Accordingly, any omissions, modifications, equivalents, improvements and/or the like which are within the spirit and principles of the embodiments are intended to be included within the scope of the present application.
Claims (10)
1. An industrial park demand response resource characteristic analysis method, comprising:
acquiring electricity utilization information of each user in an industrial park;
for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information;
sending a corresponding alternative electricity utilization strategy to the user in the industrial park;
receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy.
2. The method of claim 1, wherein the alternative electricity usage policy includes a time of use electricity price criteria, a recommended electricity usage period, and an electricity usage load for the recommended electricity usage period;
and for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information, including:
for each user, determining an electricity consumption peak period, an electricity consumption valley period, an electricity consumption load of the electricity consumption peak period and an electricity consumption load of the electricity consumption valley period according to the electricity consumption information;
inputting the electricity consumption peak period, the electricity consumption valley period, the electricity consumption load of the electricity consumption peak period and the electricity consumption load of the electricity consumption valley period into a pre-built multi-objective optimization model to obtain a recommended electricity consumption time period;
and calculating the electricity load of the recommended electricity consumption time period according to the recommended electricity consumption time period.
3. The method of claim 2, wherein said sending the corresponding alternative electricity usage policy to the user on the industrial park comprises:
sequentially sending corresponding alternative electricity utilization strategies to the users in the industrial park according to the predetermined electricity utilization priority;
further comprising determining the power usage priority by:
obtaining the production type and market demand of each user in the industrial park;
grading the users according to the market demand degree to obtain corresponding demand grades;
based on a preset basic weight coefficient and a first weight coefficient corresponding to the production type, obtaining the electricity utilization priority through calculation;
the electricity utilization priority is calculated by the following formula:
electricity priority = first weight coefficient + base weight coefficient demand level + 1/electricity load.
4. The method of claim 2, wherein the multi-objective function of the multi-objective optimization model is:
wherein L represents the peak-valley difference of the power grid load of the industrial park after optimization; l (L) 1 The power load value of the peak period of the power network of the industrial park after optimization is represented; l (L) 2 Representing the electricity load value of the optimized industrial park power grid in the valley period; h represents the electricity charge of the optimized user; h is a 1 Representing the electricity charge of the user in the peak period after optimization; h is a 2 And the electricity charge of the user in the valley period after optimization is represented.
5. The method of claim 2, wherein the constraints of the multi-objective optimization model include interruptible load constraints and transferable load constraints;
the interruptible load constraint conditions are:
wherein,,
representing the earliest allowable starting time of the electric equipment i of the user after optimization; />
Representing the latest allowable starting time of the electric equipment i of the user after optimization; />
The allowable starting time of the electric equipment i of the user after optimization is represented; />
The allowable closing time of the electric equipment i of the user after optimization is represented; s is S IL (t) indicates whether or not the interruptible load is in a start state at time t; t is t t To be from->
The time of the minimum continuous work of the interruptible load from moment to moment;
the transferable load constraint conditions are:
wherein S is TL (t) indicates whether or not the transferable load is in an on state at the time t; t is t t ' as slave
Time of minimum continuous operation from moment to moment, in which load can be transferred.
6. The method according to claim 1, wherein the method further comprises:
formulating an updated alternative electricity utilization strategy according to the target electricity utilization strategy;
sending the updated alternative electricity utilization strategy to the user;
receiving an updated target electricity utilization strategy sent by the user; wherein the updated target power usage policy is determined based on the updated alternative power usage policy.
7. An industrial park demand response resource characteristic analysis method, comprising:
the electricity consumption information is sent to a monitoring platform;
receiving an alternative power utilization strategy sent by the monitoring platform; wherein the alternative electricity utilization strategy is formulated by the monitoring platform according to the electricity utilization information;
determining a target electricity utilization strategy according to the alternative electricity utilization strategy;
and sending the target electricity utilization strategy to the monitoring platform.
8. A monitoring platform, characterized in that the monitoring platform is arranged at an industrial park grid, the monitoring platform comprising:
an acquisition module configured to: acquiring electricity utilization information of each user in an industrial park;
a formulation module configured to: for each user, formulating a corresponding alternative electricity utilization strategy according to the electricity utilization information;
a first transmission module configured to: sending a corresponding alternative electricity utilization strategy to the user in the industrial park;
a first receiving module configured to: receiving a target electricity utilization strategy sent by the user; wherein the target electricity utilization strategy is determined according to the alternative electricity utilization strategy.
9. An operating platform, wherein the operating platform is disposed at a user, the operating platform comprising:
a second transmission module configured to: the electricity consumption information is sent to a monitoring platform;
a second receiving module configured to: receiving an alternative power utilization strategy sent by the monitoring platform; wherein the alternative electricity utilization strategy is formulated by the monitoring platform according to the electricity utilization information;
a determination module configured to: determining a target electricity utilization strategy according to the alternative electricity utilization strategy;
a third transmission module configured to: and sending the target electricity utilization strategy to the monitoring platform.
10. An industrial park demand response resource characteristic analysis system, comprising:
a monitoring platform as claimed in claim 8 and an operating platform as claimed in claim 9.
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