CN110245790A - The accurate adjusting method of region load based on virtual plant technology - Google Patents

Abstract

A method for precise adjustment of regional loads based on virtual power plant technology of the present invention includes stages of enterprise participation, event initiation and preparation, and post-event settlement. The server of the regional energy management center establishes an event corresponding to the target demand for electricity, determines the response scope and the response price of this event; selects a part of the member companies that make up the virtual power plant, and initiates participation in this event to its client Demand response invitation, and track the feedback results of the enterprise; the cloud platform counts the response volume according to the invitation response volume fed back by the enterprise, and determines the enterprise invited to participate in demand response when it is judged that the statistical response volume meets the target demand. Countdown to the event, wait for the appointed time to start the event execution, and the participating enterprises will carry out demand response. The invention constructs a virtual power plant system, invites and guides users to adjust energy consumption time, optimizes power resource scheduling, alleviates the contradiction between power grid supply and demand, and has the characteristics of practicality, marketization and onlineization.

Description

Precise adjustment method of regional load based on virtual power plant technology

technical field

The invention relates to a regional load precise adjustment method based on virtual power plant technology.

Background technique

In the power system, power generation and electricity consumption are almost completed at the same time. In addition to generating electricity, power plants also need to generate more electricity during peak periods and less during trough periods to ensure the balance of power grid supply and demand. With the development of economy and society, the peak-to-valley difference between urban power grids has become larger and larger. However, if we blindly expand power plants to meet the demand for electricity during peak hours, it will cause huge waste in the trough period of electricity consumption. Therefore, how to reduce the peak-to-valley difference more economically and efficiently has become one of the important issues of urban power grids.

Virtual Power Plants (VPP) is one of the important technologies to realize intelligent distribution network. It refers to the integration of clean energy, controllable loads and energy storage systems that are distributed in the distribution network as a special power plant to participate in the operation of the power grid. Based on the concept of virtual power plants, the power resources that can be adjusted by each customer are aggregated into a controllable aggregate, which can be actively adjusted according to the operation needs of the large power grid and its own conditions to achieve "demand elasticity, supply and demand coordination": for example, participating electricity customers Make an appointment with the power grid company to use more electricity during the trough period of electricity consumption and less electricity during the peak period; or, use the energy storage characteristics of the energy storage system to store electricity during the trough of electricity consumption and release electricity during the peak period of electricity consumption; this can be adjusted The difference between peak and valley plays a role in ensuring the balance of supply and demand in the power grid like a power plant. Some distributed power customers who can generate their own power can also adjust the power on the grid according to the needs of the grid. In this way, the energy utilization efficiency of customers and even the whole society can be optimized, which provides better guarantee for the safe operation of the power grid and clean energy consumption, and also brings economic benefits to the user side.

Virtual power plants can be jointly participated by various types of large-scale customers such as commercial buildings, intelligent and orderly charging, non-industrial flexible air conditioners, industrial automatic response, energy storage, distributed energy consumption, ice storage, etc. How to aggregate and coordinate these entities Optimization, guiding customers to actively adjust energy use, and realizing large-scale demand response is an urgent problem to be solved.

SUMMARY OF THE INVENTION

The invention relates to a regional load precise adjustment method based on virtual power plant technology, which aggregates and coordinates and optimizes distributed energy, controllable load, energy storage system and other subjects, constructs a virtual power plant system, and realizes Peak shaving and valley filling of lines, main transformers, substations, etc., thereby optimizing power resource scheduling, alleviating the contradiction between supply and demand of the power grid, reducing the cost of construction and transformation of the power grid, and improving the overall utilization efficiency of power grid equipment and regional power quality.

The technical solution of the present invention is to provide a method for precise adjustment of regional loads based on virtual power plant technology, which includes the following processes implemented in the event initiation and preparation stages:

The server side of the regional energy management center establishes an event corresponding to the target demand for electricity, determines the response range and the response price of this event; selects at least a part of the member companies that make up the virtual power plant, and initiates a request to the client of the company Invite to participate in the invitation to participate in the demand response of this event, and track the feedback results of the enterprise, and receive the information that the enterprise agrees to receive the invitation through the feedback from the client and the response volume of the invitation;

The cloud platform counts the response volume according to the response volume of the invitations fed back by the enterprise, compares the statistical response volume with the target demand of this event, and determines that the cloud platform is invited to participate in the event when it is judged that the statistical response volume meets the target demand. Demand response enterprises, and count down the event, waiting for the appointed time to start the event execution.

Optionally, if the cloud platform determines that the statistical response volume does not meet the target demand, the cloud platform notifies the server of the regional energy management center to re-determine the response range and response price, initiate an invitation and track the feedback results of the enterprise, and then the cloud platform will count the results. Response volume and determine whether the target demand is met.

Optionally, it also includes an enterprise engagement phase implemented before the event initiation and preparation phase, which further includes the following processes:

Through the client, the enterprise submits the enterprise participation request, expresses the willingness to participate in the demand response, and provides the enterprise basic information and load response information;

The server of the regional energy management center evaluates, approves and configures the response equipment and response capability of the enterprise; publishes the information of agreeing to participate in demand response to the qualified enterprises, and establishes a virtual power plant with the qualified enterprises, which is called the virtual power plant. Member enterprises; the server of the regional energy management center calculates the responsiveness of the virtual power plant, and configures the corresponding relationship between the virtual power plant and its member enterprises;

The server of the regional energy management center sends the prepared response plan to the client of member companies, and tracks the feedback results of the member companies on the response plan; the server of the regional energy management center provides the cloud platform with the list of member companies and confirmed The response plan will be publicized through the cloud platform.

Optionally, it also includes an event settlement phase implemented after the event is executed, which further includes the following processes:

The server of the regional energy management center freezes the load data of the responding enterprise during the actual response period;

The cloud platform or the server of the regional energy management center analyzes the compliance rate of the responding enterprises, and the compliance rate is the ratio of the actual response volume of the participating companies to the agreed response volume;

The cloud platform or the server of the regional energy management center analyzes and responds to the corresponding incentives, rewards and punishments of the enterprise to form the settlement result, and tracks the feedback of the responding enterprise, or the feedback of the responding enterprise and the investor on the settlement result, and receives the feedback confirming the settlement result. Afterwards, publicize the settlement results and file events.

Optionally, in the event initiation and preparation stage, the regional energy management center, through the server, provides the event type, start reason, planned total demand, and command source information on the page corresponding to the event preparation, and provides information on the start time of the event. , the end time, and the preparation time can be adjusted;

The regional energy management center displays the list of companies to be selected and/or selected to invite, as well as information on the correspondence between companies, lines and transformers, on the page for determining and selecting the response range through the server.

Optionally, in the enterprise participation stage, the basic information of the enterprise submitted by the participating enterprise through the client includes registration information and contact information, and the submitted load response information includes the participating role of the enterprise, the user number, the subject type, the power supply number, The nature of electricity consumption, the highest and lowest operating loads by season, and for the response capacity of valley filling and peak shaving, respectively, provide the equipment or virtual equipment participating in the response, equipment capacity, response participation method, and agreed response capacity.

Optionally, one or more of the server, cloud platform or external management system of the regional energy management center can monitor the process of demand response by participating enterprises in real time during event execution, and track the output of the virtual power plant and peak shaving and valley filling. Completion rate data.

Optionally, the server or cloud platform of the regional energy management center is further connected with the display device, according to the real-time load data at one point every 15 minutes, a real-time response curve is formed, and the output of the virtual power plant, the line load, and the enterprise load are completed on the display device. Monitor on the same screen.

Optionally, the server or cloud platform of the regional energy management center calculates the compliance rate of responding enterprises, virtual power plants, and events in real time according to the real-time load data at one point every 15 minutes, and estimates the incentive estimated value of the enterprise in real time.

Optionally, when the event is executed, the participating enterprises carry out demand response through their own subject; the subject includes one or more of distributed energy, controllable load, and energy storage system.

The present invention provides a method for precise adjustment of regional load based on virtual power plant technology. Through the aggregation and coordination optimization of distributed energy, controllable load, energy storage and other subjects under the outgoing line, a virtual power plant system is constructed, and according to the relevant guidance mechanism, The online invitation method is used to guide customers to actively adjust the energy consumption time, so as to optimize the scheduling of power resources and alleviate the contradiction between supply and demand of the power grid. "Virtual power plant peak shaving and valley filling" achieves a win-win situation for the government, power supply companies and energy customers by reducing the burden of peak shaving and increasing the flexibility of grid scheduling.

The present invention has good practicability, and the demand response carried out by the function of "Virtual Power Plant shaving peaks and filling valleys" can be based on the actual needs of the power grid, and through large-scale demand response, the safety and economic operation level of the power grid in a specific area can be improved.

The present invention can guide users to participate voluntarily by means of complete marketization, based on negotiated economic compensation or short-term fluctuations in electricity prices, etc., so as to realize the active demand response of the load on the user side.

The present invention can integrate the relevant data of external management systems such as the municipal demand response management platform and the user-side load control system on-line through the cloud platform, so as to realize the online process of batch initiation of invitations, process monitoring and event settlement.

Description of drawings

Fig. 1 is the schematic flow chart of the enterprise participation stage in the present invention;

Fig. 2 is the schematic flow chart of event initiation and preparation stage in the present invention;

FIG. 3 is a schematic flow chart of the post settlement stage in the present invention.

Detailed ways

The invention provides a regional load precise adjustment method based on the virtual power plant technology, which can be based on the outgoing line of the substation, and can perform operations on enterprises (distributed power supply, energy storage, controllable load, etc.) Aggregate and coordinate optimization, set up virtual power plants, and use online invitation methods to guide customers to actively adjust load and energy use time according to relevant guidance mechanisms and market incentives, so as to optimize power resource scheduling and alleviate the contradiction between power grid supply and demand. That is, the present invention can adjust the output of specific virtual power plants through the market-oriented peak-shaving and valley-filling mechanism (demand response type), realize peak-shaving and valley-filling of lines, main transformers, substations, and even regional and city-wide, reducing urban electricity consumption. Dependence on grid investment.

The embodiments of the present invention are described by taking an applicable scenario of the method in a science and technology park as an example. The area includes scientific research, education, residence, public service facilities, etc., as well as technology-based industries such as electronics, medical equipment, new energy, and advanced manufacturing. The subjects involved in distributed power generation, energy storage, and controllable loads can all participate in the construction of virtual power plants.

According to the development status of load integrators in the above-mentioned areas, this embodiment focuses on enterprises that are willing to participate in the "virtual power plant peak shaving and valley filling", such as municipal holding groups and other large industrial and commercial enterprises, as response users to enable them to pass the client (or use App, Web, etc., the form is not limited; the following only takes the client as an example), unified access to the cloud platform, interacts with the cloud platform, the server of the regional energy management center, etc., to facilitate response management. The regional energy management center is referred to as the regional center in the following, which is mainly responsible for operational matters in this example. In the following, some operations performed by the regional center through the server or part of the operations performed by the cloud platform can be implemented in other examples according to the actual application. adjustment and exchange.

Through the cooperation of the cloud platform, the server of the regional center, the client that responds to the user, etc., the three stages of the precise regional load adjustment method of the present invention are realized: the enterprise participation stage, the event initiation and preparation stage, and the event settlement stage.

Among them, in the early stage of enterprise participation, for example, completing the application, review, and configuration of participating companies; in the event initiation and preparation stage, for example, in response to the needs of power grid operation, a specific peak shaving and valley filling event is initiated, and the participating companies are initiated online. Batch invitations, according to the feedback of invitations to count the response volume and other work; in the later stage of event settlement, such as data freezing, incentive settlement, and result formulas after the completion of the response event.

As shown in Figure 1, the implementation of the enterprise participation stage described in the present invention includes the following processes:

A1. Participating companies can submit requests for company participation through the client to express their willingness to participate in the demand response market. Following the above request, the enterprise further provides basic information such as registration information, contact information, and load response information of the enterprise through the client.

Among them, the load response information, such as the participating role of the enterprise (such as whether it is an independent user), the user number, the role nature (such as the type of the main body such as energy storage), the power supply number, the nature of electricity consumption, the maximum and minimum operating loads in summer ( kW), the highest and lowest operating loads in winter (kW), etc., and can explain the equipment participating in the response (name and equipment description, whether it is virtual equipment), equipment capacity (kW) , Response participation mode (adjustment or activation), agreed response capacity (kW), etc.

Supports operations such as adding, editing, and deleting related information through the client. Enterprise-related information can be recorded and stored through the server or cloud platform. In different examples, the above-mentioned enterprise participation request (including basic enterprise information and load response information) can be directly sent to the server of the regional center, or can be sent to the cloud platform first, and then forwarded by the cloud platform to the server of the regional center. .

A2. The server of the regional center records the relevant information of the enterprise in the external management system such as the power company according to the enterprise's participation request and the involved enterprise's basic information and load response information, so as to respond to the enterprise's response equipment, response capability, etc. Assess, approve, and configure approved enterprise responsiveness. For enterprises that meet the predetermined conditions, the information that agrees to participate in demand response is issued to them.

Exemplarily, in this embodiment, an electricity user applying for participating in demand response should meet the following conditions:

1) Large industrial users with a capacity of 315kVA and above that implement seasonal peak electricity prices and non-industrial users with separate central air-conditioning monitoring; 2) There are complete load management facilities, negative control devices, and a complete power load management mechanism 3) The level of energy management and energy use efficiency is high, and it has made great contributions to orderly electricity consumption over the years, and has participated in demand response or orderly electricity consumption plans; 4) It has achieved online power monitoring and access to negative control Center or cloud platform; 5) If a load integrator applies to participate in demand response as a single user, its integrated power users must meet the above conditions and have load adjustment means; 6), have general taxpayer qualifications. The regional center contracts with approved participating companies to become members of the formed virtual power plant.

A3. The server of the regional center will deploy the virtual power plant according to the result of the approved configuration. For example, according to the situation of participating enterprises, configure the composition of the virtual power plant, and calculate the capacity of the virtual power plant; also configure the corresponding relationship between the virtual power plant and the member enterprises based on the line to which the enterprise belongs (that is, make a certain enterprise belong to a certain virtual power plant), etc. .

A4. The regional center cooperates with member enterprises to determine the response plan to cooperate with the output management of the virtual power plant: For this reason, the regional center prepares the response plan according to the market guidance mechanism, and sends it to the member enterprises for confirmation through the interaction between the server and the client . The confirmed response plan is entered into the cloud platform for backup and archive.

Supports adding, deleting, modifying and checking the response plan. Optionally, the response plan is adjusted by the server of the regional center (in combination with the information or requirements provided by participating enterprises, cloud platforms or other external management systems, etc., if necessary).

A5. The server of the regional center provides a list of member companies (including major indicators such as company name, type, and response capability) and response plans to the cloud platform, and publicizes this information through the cloud platform.

Supports adding, deleting, modifying and checking the business directory. For example, the enterprise directory is adjusted by the server or cloud platform of the regional center (if necessary, in combination with the information or requirements provided by the participating enterprises, regional center/cloud platform, or other external management systems, etc.).

As shown in Figure 2, the implementation of the event initiation and preparation phase described in the present invention includes the following processes:

B1. Create a new event:

Regional centers compile and establish new response events based on upper-level orders or market information. For a new response event, the server provides the event type (peak shaving event or valley filling event), start reason, planned total demand (kW), command source and other information, and can provide information on the start time, end time, preparation The duration, etc., can be modified and deleted.

B2. Determine the response range and response price:

The regional center determines the scope of response, and selects the company to be invited for this event from the member companies that have signed contracts and announced in the previous stage. For example, in the determination and selection page of the response range, information such as substation, line name, power user number, company abbreviation, power supply number, and impact potential (kW) corresponding to the company to be invited are displayed, which can be adjusted according to these information. The relationship between the lines, transformers and enterprises, and then determine the list of inviting enterprises.

The regional center also determines the response price of this incident, and provides a price strategy (yuan/kW) to compensate participating enterprises after the response is completed by means of electricity charge deduction and other methods. For example, different incentive reward and punishment amounts may be formulated according to factors such as the distance between the invitation time and the occurrence of the event, the response volume of each member's signing contract, and the actual response volume of each member.

B3. Initiate an invitation:

Through the server, the regional center initiates invitations to the enterprise clients in the invitation list, and tracks the feedback. For example, the regional center notifies the invitation response volume, response price, etc. to the companies in the invitation slips sent to the companies.

B4. Feedback invitation:

After receiving the invitation through the client, the participating enterprises will timely feedback whether they agree to accept the invitation; if they agree to the invitation, they need to further feedback the response volume of the invitation; if they refuse the invitation, they can ask the company to fill in the reason for rejection. In different examples, the information such as the invitation situation and the response volume of the invitation fed back by the enterprise can be sent to the server of the regional center and then forwarded to the cloud platform, or can be directly sent to the cloud platform.

B5. Statistical response volume:

According to the response volume of invitations fed back by the companies that agreed to the invitation, the cloud platform will count the response volume and compare it with the target demand of this event to judge whether the statistical response volume can meet the target demand: if it can meet the target demand The cloud platform determines the response list and the invitation result, and further performs the B6 operation; if the target demand cannot be met, the cloud platform notifies the server and repeats the operations of B2-B5: the regional center re-determines the response range and response price and initiates the invitation , the cloud platform will count the response volume according to the feedback of the enterprise, etc.

B6. Event countdown:

For example, according to the event start time set when creating a new event, the cloud platform counts down the event. Before the "event start time" is reached, the event can be cancelled; once the "event start time" is reached, the event automatically enters the execution stage and the event cannot be cancelled.

During the event execution stage, it is determined that the enterprises participating in the demand response will carry out the demand response in the appointed time period after the "event start time" arrives. For example, any one or more of the server, cloud platform or external management system of the regional center can monitor the response process in real time, and track the output of the virtual power plant and the data on the completion rate of peak shaving and valley filling.

As shown in Fig. 3, the implementation of the event settlement phase described in the present invention includes the following processes:

C1. Freeze event load:

The server of the regional center analyzes and determines the load data corresponding to the actual response period (such as the day of the event) according to the load data given by the external management system such as the power company, and/or the monitoring data of the cloud platform. Perform a hardening process (freeze) so that it can no longer be changed for further analysis of settlement metrics.

C2. Analyze the compliance rate of enterprises:

The cloud platform analyzes the ratio of the actual response volume to the agreed response volume (that is, the compliance rate) of the enterprise according to the frozen load data and calculation indicators.

C3. Analyze incentives and rewards and punishments:

The cloud platform analyzes the incentives for responding companies and the specific amount of rewards and punishments based on the compliance rate and the previously agreed price strategy, reward and punishment rules. According to the pricing strategy of the example, if the actual response volume of the enterprise is less than 60% of the contracted value, it will be regarded as an invalid response and no subsidy will be issued; if the response volume exceeds 140% of the contracted volume, it will be calculated as 140% of the contracted volume.

C4. Result announcement:

The cloud platform directly publicizes the settlement results. Or, in another example, after the cloud platform obtains the settlement result, it first notifies the funder (such as sending the settlement result to the funder's client), and tracks the confirmation feedback from the funder. After the funder confirms the settlement result be announced. The cloud platform also archives the content involved in the incident.

C5. Enterprise feedback on settlement results:

The cloud platform (or the server of the regional center, not shown in the figure) notifies the participating enterprises (such as sending them to their clients) of the settlement results, and tracks the feedback of the participating enterprises. After the participating enterprises confirm the settlement results, the cloud platform ( or regional center) to archive the event results, form a settlement document (such as publishing it to the settlement system, the Economic and Information Commission, etc.), and arrange the actual settlement.

In the execution stage of the event, the regional center (or cloud platform) can monitor the overall completion of the event, the completion of the virtual power plant and the enterprise in real time, and notify the enterprise of the requirements for load adjustment when necessary. The regional center (or cloud platform) can further set up a display device, for example, according to the real-time load data at one point every 15 minutes, form a real-time response curve, and complete the same-screen monitoring of the output of the virtual power plant, line load, and enterprise load on the display device. The regional center (or cloud platform) can also measure the compliance rate of enterprises, virtual power plants, and events as a whole in real time based on the real-time load data at one point every 15 minutes, and estimate the estimated incentive value of the enterprise.

After the event is completed and settled, the regional center (or cloud platform) can perform statistical analysis on the completion and incentives of the event, and adjust the report filing. Specifically, the following situations can be analyzed: 1. Analyze the basic situation of the recorded event (time, type, reason, response demand, etc.); 2. Analyze the completion of the recorded event (company, virtual power plant, and the overall compliance rate of the event) , completion rate, and load/output curve) 3. Analysis of event settlement (incentives earned by enterprises, rewards and punishments, average event costs, etc.), etc.

According to actual needs, the regional center or cloud platform can send data to the external management system, such as uploading the demand response plan and sending it to higher-level leading departments such as the Economic and Information Commission for the record; or sending post-event analysis and settlement documents to the Economic and Information Commission for approval, etc. .

To sum up, the method for precise adjustment of regional loads based on virtual power plant technology in the present invention exemplarily takes the 10 kV outgoing line of the substation as the basic adjustment target (which can be extended to main transformers, stations, areas, etc.). Aggregation and coordination optimization of distributed energy, controllable load, energy storage and other subjects, build a virtual power plant system, and use online invitation methods to guide customers to actively adjust energy consumption according to relevant guidance mechanisms, so as to optimize power resource scheduling and ease power grids Supply and demand conflict.

"Virtual power plant peak shaving and valley filling" achieves a win-win situation for the government, power supply companies and energy customers by reducing the burden of power grid peak shaving and increasing the flexibility of power grid dispatch: the government can achieve a win-win situation through the development of "virtual power plant peak shaving and valley filling". The new model of regional energy management and control improves the level of refined management of smart cities. Power supply companies can reduce the basic investment in the power grid, improve the utilization rate of power grid equipment, improve the quality of regional power, and give more power grid operation modes. Energy customers can participate in the resource allocation of the whole society by contributing their own adjustable loads, and obtain corresponding benefits.

While the content of the present invention has been described in detail by way of the above preferred embodiments, it should be appreciated that the above description should not be construed as limiting the present invention. Various modifications and alternatives to the present invention will be apparent to those skilled in the art upon reading the foregoing. Accordingly, the scope of protection of the present invention should be defined by the appended claims.

Claims (10)

1. A method for precise adjustment of regional load based on virtual power plant technology, characterized in that, the following processes implemented in event initiation and preparation stage are included: The server side of the regional energy management center establishes an event corresponding to the target demand for electricity, determines the response range and the response price of this event; selects at least a part of the member companies that make up the virtual power plant, and initiates a request to the client of the company Invite to participate in the invitation to participate in the demand response of this event, and track the feedback results of the enterprise, and receive the information that the enterprise agrees to receive the invitation through the feedback from the client and the response volume of the invitation; The cloud platform counts the response volume according to the response volume of the invitations fed back by the enterprise, compares the statistical response volume with the target demand of this event, and determines that the cloud platform is invited to participate in the event when it is judged that the statistical response volume meets the target demand. Demand response enterprises, and count down the event, waiting for the appointed time to start the event execution. 2. The method for precise adjustment of regional load according to claim 1, wherein, If the cloud platform judges that the statistical response volume does not meet the target demand, the cloud platform notifies the server of the regional energy management center to re-determine the response range and response price, initiate an invitation and track the feedback results of the enterprise, and then the cloud platform counts the response volume and judges Whether the target demand is met. 3. The method for precise adjustment of regional loads as claimed in claim 1, further comprising an enterprise participation stage implemented before the event initiation and preparation stages, which further comprises the following processes: Through the client, the enterprise submits the enterprise participation request, expresses the willingness to participate in the demand response, and provides the enterprise basic information and load response information; The server of the regional energy management center evaluates, approves and configures the response equipment and response capability of the enterprise; publishes the information of agreeing to participate in demand response to the qualified enterprises, and establishes a virtual power plant with the qualified enterprises, which is called the virtual power plant. Member enterprises; the server of the regional energy management center calculates the responsiveness of the virtual power plant, and configures the corresponding relationship between the virtual power plant and its member enterprises; The server of the regional energy management center sends the prepared response plan to the client of member companies, and tracks the feedback results of the member companies on the response plan; the server of the regional energy management center provides the cloud platform with the list of member companies and confirmed The response plan will be publicized through the cloud platform. 4. The precise adjustment method of regional load according to claim 1 or 3, wherein, Also included is the event settlement phase implemented after the event execution, which further includes the following processes: The server of the regional energy management center freezes the load data of the responding enterprise during the actual response period; The cloud platform or the server of the regional energy management center analyzes the compliance rate of the responding enterprises, and the compliance rate is the ratio of the actual response volume of the participating companies to the agreed response volume; The cloud platform or the server of the regional energy management center analyzes and responds to the corresponding incentives, rewards and punishments of the enterprise to form the settlement result, and tracks the feedback of the responding enterprise, or the feedback of the responding enterprise and the investor on the settlement result, and receives the feedback confirming the settlement result. Afterwards, publicize the settlement results and file events. 5. The method for precise adjustment of regional load according to claim 1, wherein, During the event initiation and preparation stage, the regional energy management center provides information on the event type, start reason, planned total demand, and command source on the page corresponding to the event preparation through the server, and provides information on the start time, end time, Adjust the preparation time; The regional energy management center displays the list of companies to be selected and/or selected to invite, as well as information on the correspondence between companies, lines and transformers, on the page for determining and selecting the response range through the server. 6. The method for precise adjustment of regional load according to claim 3, wherein, In the enterprise participation stage, the basic information of the enterprise submitted by the participating enterprises through the client includes registration information and contact information, and the submitted load response information includes the participating role of the enterprise, the electricity user number, the main body type, the power supply number, the nature of electricity consumption, and the distribution of electricity. The highest and lowest operating loads in the season, and for the response capacity of valley filling and peak shaving, respectively, provide the equipment or virtual equipment participating in the response, equipment capacity, response participation method, and agreed response capacity. 7. The method for precise adjustment of regional load according to claim 1, wherein, One or more of the server, cloud platform or external management system of the regional energy management center monitors the demand response process of participating enterprises in real time during event execution, and tracks the output of virtual power plants and the completion rate of peak shaving and valley filling. 8. The method for precise adjustment of regional load according to claim 1, wherein, The server or cloud platform of the regional energy management center is further connected to the display device. According to the real-time load data at one point every 15 minutes, a real-time response curve is formed, and the same-screen monitoring of the virtual power plant output, line load, and enterprise load is completed on the display device. 9. The method for precise adjustment of regional load according to claim 4, wherein, Based on the real-time load data every 15 minutes, the server or cloud platform of the regional energy management center calculates the compliance rate of responding enterprises, virtual power plants, and events in real time, and estimates the incentive estimated value of the enterprise in real time. 10. The method for precise adjustment of regional load according to claim 1, wherein, When the event is executed, the participating enterprises carry out demand response through their own subjects; the subjects include one or more of distributed energy, controllable loads, and energy storage systems.