CN114336594A - Energy aggregation customer monitoring and demand response scheduling system and method - Google Patents
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Abstract
The invention provides an energy aggregation client monitoring and demand response scheduling system and method, which comprises the steps of obtaining basic archive information, power supply access point information, load resource data and cooperative interaction response data of a small energy aggregator; processing data information of the small energy aggregators to form a dynamic demand response plan; monitoring and early warning the abnormal change of the basic archive information, the power supply access point information, the load resource data and the cooperative interaction response data of the small energy aggregator, and dynamically adjusting a demand response scheduling plan according to the change information. The invention can meet the requirement that a large number of load control devices of small energy aggregators are simultaneously accessed into the power grid demand response system through the result of executing the dynamic programming algorithm, thereby improving the proportion of demand response load in the power grid load and further improving the dispatching efficiency of the demand response system.
Description
Technical Field
The invention belongs to the technical field of power dispatching, and particularly relates to an energy aggregation client monitoring and demand response dispatching system and method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In the existing demand response dispatching system, demand response dispatching for large power supplies of 35kV or more and large power users of 10kV or more can be basically realized, but effective monitoring for power supplies below 35kV, power users below 10kV, distributed power supplies and micro-grid energy storage equipment is lacked, so that load impact on demand response is formed after a large number of small energy aggregators such as clean distributed power supplies and micro-grid energy storage are connected to the tail end of a power grid, and the proportion of the dispatchable load of the existing demand response dispatching system to the load of the whole power grid is reduced.
The large power supply of 35kV or above, namely large power generation facilities such as large thermal power plants, large hydropower stations and the like, is characterized by small quantity, centralized distribution, stable power generation load or predictable change, basically no influence of external environment or obvious periodicity under the influence of the external environment; the power consumer with 10kV or more power, i.e. the power consumer with large scale, complex production process or 7 x 24 hours operation of the production line, is characterized in that the power load is stable or the change is predictable, and the power consumer is basically not influenced by the external environment or has obvious periodicity influenced by the external environment.
The power supplies below 35kV, namely small hydropower facilities, water pumping and electricity storage facilities, photovoltaic power stations and other facilities, are characterized by small quantity, unstable or unpredictable variation of power generation load and great influence by external environment; the distributed power supply is distributed photovoltaic and biomass power generation facilities connected to a voltage power grid, and is characterized by large quantity, wide distribution, unstable power generation load or unpredictable change, and great influence by external environment; the micro-grid energy storage equipment is equipment such as an energy storage station accessed to a low-voltage power grid, a V2G charging pile and the like, and is characterized in that the equipment respectively plays the roles of power supply or power utilization at different time and space in the power grid, is non-energy conversion equipment and has higher unpredictable change degree; the power users below 10kV, namely non-resident users accessing a low-voltage power grid, are characterized by large quantity, wide distribution, quick change, unstable or unpredictable power load change and larger influence by external environment. Because the power supply below 35kV, the power users below 10kV, the distributed power supply and the micro-grid energy storage equipment have the characteristics of unstable load or unpredictable change and large influence by the external environment, compared with the large power supply above 35kV and the large power users above 10kV, the distributed power supply and the micro-grid energy storage equipment have the new characteristics of large load data acquisition amount and processing amount and difficult monitoring.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an energy aggregation client monitoring and demand response scheduling system, which classifies resource clients participating in demand response according to different scheduling objects, thereby realizing energy data aggregation scheduling of the same type of clients.
In order to achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
in a first aspect, a method for energy aggregation customer monitoring and demand response scheduling is disclosed, which includes:
acquiring basic archive information, power access point information, load resource data and cooperative interaction response data of the small energy aggregator;
processing data information of the small energy aggregators to form a dynamic demand response plan;
monitoring and early warning the abnormal change of the basic archive information, the power supply access point information, the load resource data and the cooperative interaction response data of the small energy aggregator, and dynamically adjusting a demand response scheduling plan according to the change information.
In a further technical scheme, the dynamically adjusting the demand response scheduling plan specifically comprises:
and calculating the load data of a large number of small energy aggregators by using a dynamic programming algorithm, and forming an executable instruction by using a calculation result to realize dynamic balance.
According to the further technical scheme, the demand response of the small energy aggregator is divided into a plurality of interconnected stages according to time intervals, a demand response decision is required to be made in each stage, and after the demand response decision in one stage is determined, the demand response decision in the next stage is influenced, so that an activity route of one process is determined;
the demand response decisions of each stage form a decision sequence, which is called a demand response strategy;
each stage has a plurality of demand response decisions to choose from, so that a plurality of demand response strategies are selected, and the effect of determining the load balance of the power grid corresponding to one strategy can be determined by quantity;
the multi-stage demand response decision problem is that an optimal demand response strategy is selected from selectable demand response strategies, namely the dynamic balance of a dispatching plan.
The further technical scheme includes that the demand response scheduling plan is stored, and the demand response scheduling plan stored on the storage medium is executed under the condition that large-scale communication interruption occurs in the area.
According to the further technical scheme, the basic archive information of the small energy aggregator is acquired and comprises customer numbers, customer names, contact ways, power utilization addresses, power utilization categories, customer categories, contract capacity, user classifications, local cities to which the users belong and power supply unit information;
the power access point information comprises a voltage grade, a name of a station area to which the power access point belongs, a name of a line to which the power access point belongs and a name of a transformer substation to which the power access point belongs;
the load resource data comprises a load curve, a voltage curve, a current curve and electric quantity data;
the cooperative interaction response data comprises a load threshold value for demand response scheduling and demand response plan execution data.
According to a further technical scheme, the processing of the data information of the small energy aggregators comprises the following steps:
data conversion and data calculation;
the data are converted into codes for classifying the customer types, the power supply units and the electricity utilization categories of the small energy aggregators, and the codes are converted into corresponding names, so that the execution condition of the demand response plan can be visually displayed in the form of the converted names when the data are visually displayed;
the data calculation is used for fitting and calculating the adjusting mode, the adjusting capacity and the performance of the load side resources according to the characteristics and the running mode of the aggregated load side resources, the time-space characteristic extreme values of the distributed resources are counted from the controllable capacity, the power characteristics, the running mode and the climbing characteristics through the peak-load-adjusting accumulated mileage and the contribution rate of the controllable load units, the resource load characteristic extreme values are analyzed graphically to form a multi-scene multi-target aggregation scheme, the physical characteristics of different adjusting scenes are aggregated to form an executable demand response scheduling plan.
The further technical scheme includes that monitoring requirements of different small energy aggregators for executing the demand response scheduling plan are obtained, and visual display is carried out according to the execution conditions of the demand response scheduling plan of the small energy aggregators, which are obtained according to the operation monitoring requirements.
In a second aspect, an energy aggregation customer monitoring and demand response scheduling system is disclosed, comprising:
the resource user management module is used for acquiring basic file information, power access point information, load resource data and cooperative interaction response data of the small energy aggregator;
the load aggregation management module is used for processing data information of the small energy aggregator to form a dynamic demand response plan;
and the platform resource operation monitoring module is used for monitoring and early warning abnormal changes of basic archive information, power supply access point information, load resource data and cooperative interaction response data of the small energy aggregator, and dynamically adjusting a demand response scheduling plan according to the change information.
The above one or more technical solutions have the following beneficial effects:
according to the invention, load data acquisition which is applied to become a small energy aggregator in a power supply below 35kV, a power user below 10kV, a distributed power supply and a micro-grid energy storage device is accessed to a resource user management module, and the load aggregation management module forms an optimal solution for demand response of a whole network or a regional power grid through a dynamic planning algorithm, so that the load proportion of schedulable load to the whole network is improved.
The invention can meet the requirement that a large number of load control devices of small energy aggregators are simultaneously accessed into the power grid demand response system through the result of executing the dynamic programming algorithm, thereby improving the proportion of demand response load in the power grid load and further improving the dispatching efficiency of the demand response system.
The invention can execute the demand response dispatching plan stored on the storage medium even under the condition of large-scale communication interruption in the area by storing the demand response dispatching plan, thereby greatly improving the reliability of the demand response system.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a diagram of a data flow process of an embodiment of the disclosed system;
FIG. 2 is a diagram illustrating a distributed power response scenario according to an exemplary embodiment;
FIG. 3 is a diagram illustrating an example disclosed energy storage resource response;
FIG. 4 is a diagram illustrating a response of a charging facility according to an exemplary embodiment;
fig. 5 is a diagram of a client-side electrical response scenario according to an embodiment of the disclosure.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example one
The embodiment discloses an energy aggregation client monitoring and demand response scheduling method, which comprises the following steps:
the system comprises a data acquisition module, a data processing module and a data transmission module, wherein the data acquisition module is used for acquiring basic archive information, power access point information, load resource data and cooperative interaction response data of the small energy aggregator and issuing a demand response scheduling plan to the small energy aggregator;
the system is used for processing data information of the small energy aggregators to form a dynamic demand response plan;
the method is used for monitoring and early warning abnormal changes of basic archive information, power supply access point information, load resource data and cooperative interaction response data of the small energy aggregators, and dynamically adjusting a demand response scheduling plan according to change information.
The dynamic adjustment of the dispatching plan is to calculate the load data of a large number of small energy aggregators by using a dynamic planning algorithm, and form a calculation result into an executable instruction to realize dynamic balance.
The dynamic programming algorithm means that each decision depends on the current state and then causes the state transition, and each decision sequence is generated in the changed state.
The problem to be solved is decomposed into a plurality of sub-problems, the sub-stages are solved in sequence, and the solution of the previous sub-problem provides useful information for the solution of the next sub-problem. When any sub-problem is solved, various possible local solutions are listed, the local solutions which are possibly optimal are retained through decision, and other local solutions are discarded. And solving the sub-problems in sequence, wherein the last sub-problem is the solution of the initial problem.
In the embodiment, the demand response of the small energy aggregator can be divided into a plurality of interconnected stages according to time periods, a demand response decision needs to be made in each stage, and after the demand response decision in one stage is determined, the demand response decision in the next stage is often influenced, so that the activity route of one process is completely determined; the demand response decisions of the various stages form a decision sequence, called a demand response strategy. Each stage has a plurality of demand response decisions to choose from, so that a plurality of demand response strategies are available for selection, and the effect of grid load balancing can be determined by quantity corresponding to one strategy. The multi-stage demand response decision problem is that an optimal demand response strategy is selected from selectable demand response strategies, namely the dynamic balance of a dispatching plan.
In another practical example, the method further comprises storing the demand response scheduling plan, and executing the demand response scheduling plan stored on the storage medium in the case of large-scale communication interruption in the area.
More specifically, the basic archive information of the small energy aggregator is acquired and comprises customer numbers, customer names, contact ways, power utilization addresses, power utilization categories, customer categories, contract capacity, user classifications, local cities to which the users belong and power supply unit information;
the power access point information comprises a voltage grade, a name of a station area to which the power access point belongs, a name of a line to which the power access point belongs and a name of a transformer substation to which the power access point belongs;
the load resource data comprises a load curve, a voltage curve, a current curve and electric quantity data;
the cooperative interaction response data comprises a load threshold value for demand response scheduling and demand response plan execution data.
In one embodiment, the data information of the small energy aggregator is processed, and the data information comprises:
data conversion and data calculation;
the data are converted into codes for classifying the customer types, the power supply units and the electricity utilization categories of the small energy aggregators, and the codes are converted into corresponding names, so that the execution condition of the demand response plan can be visually displayed in the form of the converted names when the data are visually displayed;
the data calculation is used for fitting and calculating the adjusting mode, the adjusting capacity and the performance of the load side resources according to the characteristics and the running mode of the aggregated load side resources, the time-space characteristic extreme values of the distributed resources are counted from the controllable capacity, the power characteristics, the running mode and the climbing characteristics through the peak-load-adjusting accumulated mileage and the contribution rate of the controllable load units, the resource load characteristic extreme values are analyzed graphically to form a multi-scene multi-target aggregation scheme, the physical characteristics of different adjusting scenes are aggregated to form an executable demand response scheduling plan.
In addition, monitoring requirements of different small energy aggregators for executing the demand response scheduling plans are obtained, and visual display is carried out according to the execution conditions of the demand response scheduling plans of the small energy aggregators, which are obtained according to the operation monitoring requirements.
Example two
It is an object of this embodiment to provide a computing device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the program.
EXAMPLE III
An object of the present embodiment is to provide a computer-readable storage medium.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
Example four
The purpose of this embodiment is to provide a system for monitoring and demand response scheduling of energy aggregation customers disclosed in this embodiment, including:
and the resource user management module is used for acquiring basic file information, power access point information, load resource data and cooperative interaction response data of the small energy aggregator and issuing a demand response scheduling plan to the small energy aggregator.
And the load aggregation management module is used for processing the data information of the small energy aggregator to form a dynamic demand response plan and transmitting the dynamic demand response plan to the resource user management module.
And the platform resource operation monitoring module is used for monitoring and early warning abnormal changes of basic archive information, power supply access point information, load resource data and cooperative interaction response data of the small energy aggregator, transmitting the change information to the load aggregation management module and dynamically adjusting a demand response scheduling plan.
The resource user management module is used for acquiring basic archive information of the small energy aggregator, wherein the basic archive information comprises a customer number, a customer name, a contact way, an electricity utilization address, an electricity utilization type, a customer type, contract capacity, a customer classification, a local city to which the user belongs and power supply unit information; the power access point information comprises a voltage grade, a name of a station area to which the power access point belongs, a name of a line to which the power access point belongs and a name of a transformer substation to which the power access point belongs; the load resource data comprises a load curve, a voltage curve, a current curve and electric quantity data; the cooperative interaction response data comprises a load threshold value for demand response scheduling and demand response plan execution data.
The load aggregation management module is used for processing data information of the small energy aggregators from the resource user management module, forming a dynamic demand response plan and transmitting the dynamic demand response plan to the resource user management module.
The platform resource operation monitoring module is used for inputting the dispatching requirement of the requirement response, converting the dispatching requirement into a computer instruction and transmitting the computer instruction to the load aggregation management module.
The energy aggregation client monitoring and demand response scheduling system disclosed in this embodiment will be described in detail below.
Fig. 1 shows a data flow process of the energy aggregation customer monitoring and demand response scheduling system, which is as follows: the data are acquired through the resource user management module, the acquired data are sent to the load aggregation management module for data processing, the load aggregation management module sends the data processing result to the resource user management module for execution, the platform resource operation monitoring module carries out visual display on the execution process and the result, and meanwhile, the execution exception is sent to the load aggregation management module for dynamic adjustment of the demand response scheduling plan.
The resource user management module comprises a data acquisition module, a data storage module and a communication module.
The data acquisition module is used for acquiring energy aggregation client oriented monitoring and demand response scheduling information from the data source end, and the energy aggregation client oriented monitoring and demand response scheduling information mainly comprises basic archive information of a small energy aggregator, power supply access point information, load resource data and cooperative interaction response data.
The data storage module is used for receiving and storing energy aggregation-oriented client monitoring and demand response scheduling information accessed from a marketing service system and a power utilization information acquisition system, and the energy aggregation-oriented client monitoring and demand response scheduling information comprises:
basic information of the customer file: customer number, customer name, contact information, electricity utilization address, electricity utilization category, customer category, contract capacity, user classification, local city, power supply unit and the like.
The power access point information comprises a voltage grade, a name of a station area to which the power access point belongs, a name of a line to which the power access point belongs, and a name of a substation to which the power access point belongs.
The load resource data comprises a load curve, a voltage curve, a current curve and electric quantity data.
The cooperative interaction response data comprises a load threshold value for demand response scheduling and demand response plan execution data.
The communication module is used for transmitting the demand response plan to the data source end.
And the load aggregation management module is used for calling corresponding data information in the data storage module according to the scheduling requirement of the platform resource operation monitoring module, processing the data in the data storage module and transmitting the processing result to the resource user management module and the platform resource operation monitoring module.
The processing procedure related to the load aggregation management module comprises the following steps: data conversion, data aggregation, data calculation and data storage.
The data is converted into codes for classifying the customer types, the power supply units and the electricity utilization categories of the small energy aggregators into corresponding names, so that the execution conditions of the demand response plan can be visually displayed in the form of the converted names when the data are visually displayed, and the power supply units comprise three levels, namely local and city power supply companies, county and district power supply companies and township power supply companies.
The data calculation is used for fitting and calculating the adjusting mode, the adjusting capacity and the performance of the load side resources according to the characteristics and the running mode of the load side resources which are provided by the resource user management module and aggregated, and graphically analyzing the space-time characteristic extreme values of the distributed resources from the statistics of the controllable capacity, the power characteristics, the running mode and the climbing characteristics through the peak-load regulation accumulated mileage and the contribution rate of the controllable load unit to form a multi-scene multi-target aggregation scheme, aggregating to form physical characteristics of different adjusting scenes to form an executable demand response scheduling plan.
In addition, the data calculation also carries out correction calculation on the demand response dispatching plan according to the abnormity found by the platform resource operation monitoring module when the demand response dispatching plan is executed.
The data storage is used for storing various results of data calculation and displaying the results visually by the platform resource operation monitoring module.
The platform resource operation monitoring module is used for acquiring monitoring requirements of different small energy aggregators for executing the demand response scheduling plan and visually displaying the execution condition of the small energy aggregators demand response scheduling plan acquired by the load aggregation management module according to the operation monitoring requirements.
The monitoring requirements acquired by the customer management and control and power failure monitoring and scheduling module can be as follows: distributed power supply response, energy storage resource response, charging facility response, client side electrical response, and the like.
The distributed power supply response monitoring mainly comprises the following steps: the distributed power response case, corresponding to the distributed power response case, is shown in fig. 2.
Energy storage resource response monitoring main monitoring: the energy storage resource response condition, the corresponding energy storage resource response condition, is shown in fig. 3.
Charging facility response monitoring primary monitoring: the charging facility response scenario, the corresponding charging facility response scenario, is shown in fig. 4.
Client side electrical response monitoring primary monitoring: the client-side electrical response scenario, the corresponding client-side electrical response scenario, is shown in fig. 5.
The response conditions of the small energy aggregators are distinguished according to the functions of the equipment, the distributed power supply is load-side equipment, the client-side electric and charging facilities are client-side equipment, and the energy storage resource and charging facilities (V2G) can be switched between the load-side equipment and the client-side equipment. The response situation of different types of aggregators is also different at different time periods.
The energy aggregation customer monitoring and demand response scheduling system disclosed by the embodiment can form a demand response plan capable of meeting the access of a large number of small energy aggregators according to the characteristics and the operation modes of the load side resources of the small energy aggregators of different types and through an aggregation optimization algorithm, and provides technical support for the access of the small energy aggregators to a power grid, so that the demand response efficiency is pertinently improved.
By visually displaying the response condition, business personnel can perform intelligent demand side response scheduling, the scheduling capability of the business personnel is improved, the original 'source follow-up load' current situation is changed, the repeated labor of the business personnel is reduced, and the labor cost is reduced.
The scheme of the invention can respond to the scheduling requirement and the aggregator load characteristic according to the demand, and provides a flexible adjustment resource which can be utilized for the regulation and control of the power grid.
The steps involved in the apparatuses of the above second, third and fourth embodiments correspond to the first embodiment of the method, and the detailed description thereof can be found in the relevant description of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media containing one or more sets of instructions; it should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any of the methods of the present invention.
Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code that is executable by computing means, such that they are stored in memory means for execution by the computing means, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. An energy aggregation customer monitoring and demand response scheduling method is characterized by comprising the following steps:
acquiring basic archive information, power access point information, load resource data and cooperative interaction response data of the small energy aggregator;
processing data information of the small energy aggregators to form a dynamic demand response plan;
monitoring and early warning the abnormal change of the basic archive information, the power supply access point information, the load resource data and the cooperative interaction response data of the small energy aggregator, and dynamically adjusting a demand response scheduling plan according to the change information.
2. The energy aggregation customer monitoring and demand response scheduling method of claim 1, wherein the dynamically adjusting the demand response scheduling plan specifically comprises:
and calculating the load data of a large number of small energy aggregators by using a dynamic programming algorithm, and forming an executable instruction by using a calculation result to realize dynamic balance.
3. The energy aggregator customer monitoring and demand response scheduling method of claim 1, wherein the small energy aggregator demand response is divided into a plurality of interrelated phases by time period, a demand response decision is made at each phase, and after a demand response decision at one phase is determined, the demand response decision at the next phase is influenced to determine the activity route of a process;
the demand response decisions of each stage form a decision sequence, which is called a demand response strategy;
each stage has a plurality of demand response decisions to choose from, so that a plurality of demand response strategies are selected, and the effect of determining the load balance of the power grid corresponding to one strategy can be determined by quantity;
the multi-stage demand response decision problem is that an optimal demand response strategy is selected from selectable demand response strategies, namely the dynamic balance of a dispatching plan.
4. The energy aggregation customer monitoring and demand response scheduling method of claim 1, further comprising storing a demand response scheduling plan, and executing the demand response scheduling plan stored on the storage medium in case of a large-scale communication outage in the area.
5. The energy aggregation customer monitoring and demand response scheduling method of claim 1, wherein the basic archive information of the small energy aggregator is acquired and includes customer numbers, customer names, contact ways, electricity utilization addresses, electricity utilization categories, customer categories, contract capacities, user classifications, local cities to which the user belongs, and information of power supply units;
the power access point information comprises a voltage grade, a name of a station area to which the power access point belongs, a name of a line to which the power access point belongs and a name of a transformer substation to which the power access point belongs;
the load resource data comprises a load curve, a voltage curve, a current curve and electric quantity data;
the cooperative interaction response data comprises a load threshold value for demand response scheduling and demand response plan execution data.
6. The energy aggregator customer monitoring and demand response scheduling method of claim 1, wherein the processing the data messages of the small energy aggregators comprises:
data conversion and data calculation;
the data are converted into codes for classifying the customer types, the power supply units and the electricity utilization categories of the small energy aggregators, and the codes are converted into corresponding names, so that the execution condition of the demand response plan can be visually displayed in the form of the converted names when the data are visually displayed;
the data calculation is used for fitting and calculating the adjusting mode, the adjusting capacity and the performance of the load side resources according to the characteristics and the running mode of the aggregated load side resources, the time-space characteristic extreme values of the distributed resources are counted from the controllable capacity, the power characteristics, the running mode and the climbing characteristics through the peak-load-adjusting accumulated mileage and the contribution rate of the controllable load units, the resource load characteristic extreme values are analyzed graphically to form a multi-scene multi-target aggregation scheme, the physical characteristics of different adjusting scenes are aggregated to form an executable demand response scheduling plan.
7. The energy aggregation customer monitoring and demand response scheduling method of claim 1, further comprising obtaining monitoring demands of different small energy aggregators for executing the demand response scheduling plans, and visually displaying the execution conditions of the small energy aggregators demand response scheduling plans obtained according to the operation monitoring demands.
8. An energy aggregation customer monitoring and demand response scheduling system is characterized by comprising:
the resource user management module is used for acquiring basic file information, power access point information, load resource data and cooperative interaction response data of the small energy aggregator;
the load aggregation management module is used for processing data information of the small energy aggregator to form a dynamic demand response plan;
and the platform resource operation monitoring module is used for monitoring and early warning abnormal changes of basic archive information, power supply access point information, load resource data and cooperative interaction response data of the small energy aggregator, and dynamically adjusting a demand response scheduling plan according to the change information.
9. A computing device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the steps of the method according to any one of the preceding claims 1 to 7.
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