CN116599160B

CN116599160B - Active sensing method and system for new energy station cluster and new energy station

Info

Publication number: CN116599160B
Application number: CN202310871118.0A
Authority: CN
Inventors: 张立平; 李珂; 张小龙; 王世静; 刘鹏; 卜晓坤; 王存; 施春华; 杜学龙; 郑旭东; 张伦玮; 应元旭
Original assignee: Electric Power Planning and Engineering Institute Co Ltd
Current assignee: Electric Power Planning and Engineering Institute Co Ltd
Priority date: 2023-07-17
Filing date: 2023-07-17
Publication date: 2023-12-05
Anticipated expiration: 2043-07-17
Also published as: CN116599160A

Abstract

The invention discloses a new energy station cluster active sensing method, a system and a new energy station. The method comprises the following steps: acquiring power grid sensing information, new energy station prediction information and peak regulation and frequency modulation information from a power grid; obtaining the relation between the energy storage system regulation capacity and the operation scene, the scheduling period and the seasonal factors of the new energy station according to the information; based on the relation, determining an output plan of each scheduling period before the day of the energy storage system according to the power grid perception information and the new energy station prediction information, and evaluating an upper adjustment threshold value and a lower adjustment threshold value range of each scheduling period before the day provided by the energy storage system to the power grid according to the output plan; acquiring new energy station groups and grid-connected loop topologies and parameters of surrounding new energy stations; and obtaining a day-ahead dispatching planning value distributed to each new energy station and a day-ahead output planning value of each energy storage system according to the grid-connected loop topology and parameters. Through the steps, the operation benefits of the new energy station and the power grid can be effectively improved.

Description

Active sensing method and system for new energy station cluster and new energy station

Technical Field

The invention relates to the technical field of energy, in particular to a new energy station cluster active sensing method and system and a new energy station.

Background

At present, the construction of a novel power system represented by wind power generation and solar photovoltaic power generation grid connection is quickened in China, and the double-carbon target is realized by aid of assistance. The novel energy station has the necessity of actively supporting the power grid based on the power grid operation situation awareness, the coordination operation relation with the power grid is established through the active awareness of the novel energy station, and meanwhile, the operation benefits of the novel energy station and the power grid are improved, technical reserve can be provided for the operation of a novel power system, and good economic benefits and social benefits are achieved.

Disclosure of Invention

The invention aims to provide a new energy station cluster active sensing method, a system and a new energy station, which enable a power grid to reasonably and efficiently arrange the new energy station to participate in power grid regulation, facilitate the new energy station to reasonably reserve flexible regulation resources, better participate in auxiliary service markets such as power grid peak shaving and frequency modulation, and reasonably arrange energy storage to participate in power grid new energy consumption optimization, realize system-level active power stabilization, reduce power grid new energy power loss rate, optimize power grid conditions for new energy consumption, better reduce power loss and improve operation benefits of the new energy station and the power grid.

In order to solve the above problems, a first aspect of the present invention provides a method for active sensing of a new energy station cluster, including:

acquiring power grid sensing information, new energy station prediction information and peak regulation and frequency modulation information from a power grid;

obtaining the relation between the energy storage system regulation capacity and the operation scene, the scheduling period and the seasonal factors of the new energy station according to the power grid perception information, the new energy station prediction information and the peak regulation frequency modulation information;

based on the relation, determining an output plan of each scheduling period before the energy storage system day according to the power grid perception information and the new energy station prediction information, and evaluating an upper adjustment threshold value and a lower adjustment threshold value range of each scheduling period before the energy storage system day provided for the power grid according to the output plan;

acquiring new energy station groups and grid-connected loop topologies and parameters of surrounding new energy stations;

obtaining a day-ahead dispatching planning value distributed to each new energy station and a day-ahead output planning value of each energy storage system according to the grid-connected loop topology and the parameters;

and (3) performing power stabilization in the stage of reporting the predicted output curve, and performing power stabilization in the stage of executing the scheduling plan.

Optionally, the determining, based on the relationship, the power output plan of each scheduling period before the energy storage system day according to the power grid perception information and the new energy station prediction information includes:

Combining the frequency of the power grid sensing information and the predicted time scale of the new energy station to obtain a power grid multi-time scale power gap curve;

calculating power output plans of different time scales based on the power grid multi-time scale power gap curve;

and respectively making a week, a day and a real-time scheduling plan of the energy storage system before the day based on the power output plan.

Optionally, the evaluating the upper and lower adjustment threshold ranges for each scheduling period before the day that the energy storage system provides to the grid in turn includes:

and calculating an upper adjustment threshold range and a lower adjustment threshold range of the energy storage according to the current charge state, the residual capacity, the output power and the current charge and discharge times of the energy storage in the same day and the current charge and discharge times of the energy storage in the same month.

Optionally, the new energy station group and the grid-connected loop topology of the surrounding new energy stations include:

the new energy station group and nodes of the surrounding new energy stations connected to the power grid and the day-ahead predicted output curve;

the new energy station group and the surrounding new energy station grid-connected loop parameters comprise:

energy storage parameters of the new energy station group and the surrounding new energy stations, and a day-ahead schedule of the new energy station group and the surrounding new energy stations.

Optionally, the obtaining the day-ahead schedule value allocated to each new energy station and the day-ahead output schedule value of each energy storage system according to the grid-connected loop topology and the parameters includes:

and combining grid-connected loop topology, completing system stability analysis, calculating power flow to obtain an output distribution plan of each new energy station, and obtaining the charge and discharge states and charge and discharge power of the energy storage system according to the output distribution plan.

Optionally, the step of reporting the predicted output curve to perform power stabilization includes:

constructing a basic data model according to the new energy station group and the grid-connected loop topology and parameters of the surrounding new energy stations;

numbering new energy stations according to grid network frame nodes accessed to a power grid, wherein node numbers are from 1 to n;

the following steps are sequentially executed from 1 to the access node until the number of nodes is equal to the total number n of the grid nodes:

acquiring a new energy output total prediction curve of the access node;

optimizing and calculating the total output prediction curve of the access node by using a basic data model with the minimum fluctuation as a target, and calculating the output value of each energy storage;

outputting an output curve with the output stored by taking the node as the abscissa as the ordinate when the number of the nodes is equal to the total number of the grid nodes;

And transmitting the energy storage output curve to an intelligent combined centralized control system and a peripheral new energy station monitoring system.

Optionally, the performing power leveling in the stage of executing the scheduling plan includes:

calculating a cross correlation coefficient among the station outputs according to a historical output curve of the new energy station, numbering the new energy station according to grid network frame nodes accessed to a power grid, and enabling node numbers to be from 1 to n;

the following steps are sequentially executed on the access nodes from the node 1 until the number of the nodes is equal to the total number n of the grid nodes:

superposing and calculating the scheduling daily output plans of the wind power plants or wind power plant groups of the access nodes, and reallocating the scheduling daily output plans of the stations according to the output correlation coefficients;

optimizing and calculating a day-ahead output plan of the access node by using a basic data model according to the minimum fluctuation of total output as a target to obtain an output plan curve of each energy storage;

and when the number of the nodes is equal to the total number of the power grid nodes, the distributed dispatching day-ahead output planning curve and the distributed energy storage output planning curve are sent to an intelligent combined centralized control system and a surrounding new energy station monitoring system.

In another aspect of the present invention, a new energy station cluster active sensing system is provided, including:

the new energy station cluster active sensing system is used for executing the new energy station cluster active sensing method.

In another aspect of the present invention, there is provided a new energy station comprising: the system comprises a power grid EMS, a power grid trading system, an electric power market optimization decision system, an intelligent combined centralized control system, a wind-light storage station monitoring system, an area centralized control system, a new energy station end monitoring system and the new energy station cluster active sensing system;

the power grid transaction system is used for issuing a whole-grid electricity demand prediction result, the limit value of the electric quantity of each thermal power generating unit participating in the transaction and the limit value of the electric quantity of each new energy enterprise participating in the transaction;

the power grid EMS is connected with the power grid transaction system, the new energy station monitoring system and the intelligent combined centralized control system;

the power market optimization decision system is connected with the power grid transaction system and the active sensing system;

the intelligent combined centralized control system is also connected with the active sensing system and the wind-solar storage station monitoring system;

the regional centralized control system is connected with the active sensing system and the new energy station monitoring system.

The active sensing method for the new energy station cluster provided by the application obtains the strategy (comprehensive result) with active supporting effect on the power grid based on the new energy station cluster operation information, the history information and the active supporting strategy, and sends the strategy (comprehensive result) to the intelligent combined centralized control system and the regional centralized control system, and further forwards the strategy to the surrounding new energy station monitoring system for the surrounding new energy station monitoring system to refer to or execute. Through the steps, the operation benefits of the new energy station and the power grid can be effectively improved, technical reserves can be provided for the operation of the novel power system, and the novel power system has good economic benefits and social benefits.

Drawings

FIG. 1 is a schematic diagram of a new energy station architecture according to an embodiment of the present application;

FIG. 2 is a schematic diagram of an active sensing system according to an embodiment of the present application;

FIG. 3 is a schematic diagram of an active sensing system hardware architecture according to an embodiment of the present application;

fig. 4 is a schematic flow chart of a new energy station cluster active sensing method provided by the embodiment of the application;

FIG. 5 is a schematic flow chart of improving the flexibility of power grid adjustment based on power grid perception information according to an embodiment of the present application;

FIG. 6 is a schematic flow chart of reporting active support system level power stabilization at the predicted output curve stage according to an embodiment of the present application;

Fig. 7 is a schematic flow chart of active power stabilization in a scheduling stage of execution according to an embodiment of the present invention.

Detailed Description

The objects, technical solutions and advantages of the present invention will become more apparent by the following detailed description of the present invention with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.

It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

In the description of the present invention, it should be noted that the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.

Referring to fig. 1, an embodiment of the present invention provides a new energy station including: the intelligent integrated control system comprises a power grid EMS, a power grid transaction system, an electric power market optimization decision system, an intelligent integrated control system, a wind-light storage station monitoring system, an area integrated control system, a new energy station end monitoring system and a new energy station cluster active sensing system;

The new energy station cluster active sensing system is used for executing the following new energy station cluster active sensing method.

Grid EMS refers to an energy management system (energy managementsystem in english).

The dashed box in fig. 1 represents a D5000 system, and the D5000 system is a model of a grid dispatching technical support system of a grid company.

The invention also provides a new energy station cluster active sensing system for executing the following new energy station cluster active sensing method.

For example, the active sensing system of the new energy station cluster includes:

(1) Platform architecture

The active perception system software structure of the new energy station cluster is shown in figure 6. From the system operation architecture, the active sensing system has three layers of an operating system layer, a supporting platform layer and an application layer.

The supporting platform layer in the active sensing system of the new energy station cluster is in a core position in the whole system structure, and whether the design of the supporting platform layer is reasonable or not is directly related to the structure, the openness and the integration capability of the whole system. The support platform can be further classified into three layers of an integrated bus layer, a data bus layer, a public service layer and the like, wherein the integrated bus layer provides standardized interaction mechanisms among various public service elements, various application systems and third party software, and provides an interaction mode of various subsystems crossing an I/II region; the data bus layer provides them with the appropriate data access services; the public service layer provides various services for each application system to realize the application functions thereof, including a graphical interface, report services, alarms and the like.

(2) Functional architecture

The application functions of the active sensing system of the new energy station cluster comprise situation sensing, active supporting, auxiliary decision making, comprehensive display and the like. The functional architecture is shown in figure 2.

Each module realizes the following specific functions:

1) Situational awareness

The situation awareness data interface realizes data interaction with an electric power market optimization decision system, an intelligent combined centralized control system and a peripheral new energy station monitoring system, and achieves the awareness function of the power grid operation situation and the new energy station operation situation required by active support.

Based on data perception, analysis and calculation are carried out on the aspects of active balance, new energy consumption and the like.

2) Active support

On the basis of the situation awareness function, the active supporting function generates a strategy with an active supporting function on the power grid. The active support function realizes active support of the new energy station cluster and the surrounding new energy stations on the power grid based on power grid perception information, improves power grid adjustment flexibility, optimal new energy consumption, system-level active power stabilization based on new energy station output characteristic excavation and the like, and improves the running performance of the power grid.

3) Decision assistance

The auxiliary decision function synthesizes the strategy result generated by the active supporting function, converts the strategy result into decision information for the operation of the new energy station cluster or the surrounding new energy stations, sends the decision information to the intelligent combined centralized control system of the new energy station cluster and the surrounding new energy station monitoring system for reference or execution, and simultaneously realizes the operation evaluation of the active supporting function.

4) Comprehensive display

The comprehensive display function displays the strategy and the operation evaluation result generated by the active support function through a graph or a report. The comprehensive display function displays a power grid adjustment flexibility strategy result, an optimal new energy consumption strategy result, a system-level active power stabilization strategy result based on the excavation of the output characteristics of the new energy station and a corresponding operation evaluation result based on the power grid perception information.

(3) Hardware architecture

The system hardware adopts a double-machine double-network structure, and main hardware equipment adopts redundant configuration, so that system paralysis caused by single-point hardware failure is avoided. The system is not limited to a certain computer hardware or operating system type, is suitable for development of popular computers and software, adopts a flexible configuration mode, and comprehensively considers the stability, the operation flexibility and the application simplicity. The system can provide good portability, expandability and interoperability regardless of the computer hardware platform, operating system platform and database platform. The main hardware configuration as shown in fig. 3 includes: data acquisition server, history data server, application server, communication server, engineer workstation, instructor/student workstation, network switch (100M/1000M self-adaptation), forward physical isolation, reverse physical isolation, etc.

1) II area communication server

The II area communication server is two PC servers, a domestic operating system is installed, and data of II area electric quantity and power prediction of the intelligent combined centralized control system are collected and sent to the historical data server. And the electric quantity and power prediction data of the peripheral new energy station end are forwarded to the historical data server through the three gorges regional centralized control center.

2) III-zone data acquisition server

The III-zone data acquisition server consists of two PC servers, is provided with domestic operating systems, runs in a main and standby mode, and is mainly used for III-zone data acquisition and preprocessing, communication original code monitoring and forwarding and data exchange with other systems. The two servers are mutually monitored through a network, so that automatic and manual switching is realized. The automatic switching is automatically completed according to the running state of the system. The manual switching is a process of forcedly taking the original class out of the on-duty state according to the operation requirement and converting the standby machine into the on-duty state.

The two servers are used for collecting data of the intelligent combined centralized control system, the electric power market and the monitoring system of the peripheral new energy station, the airliner is a Polling machine, and the standby machine is a monitor. The data of the main machine and the standby machine are completely consistent, so that the switching of the main machine and the standby machine does not influence the speed of updating the background real-time data, and the switching pause feeling is not generated.

3) Historical data server

The historical data server consists of two PC servers, and a domestic operating system is installed to form a double-machine hot standby, so that the safety of system data is fully ensured.

The historical data server is the core of the whole system operation, and the commercial database is used for storing data structures, data definitions and descriptions, historical data, real-time database sampling data, alarm information, other management information and the like. The real-time database resides in the memory of each client, and the definition and description of the real-time database are generated according to the content of the commercial database when the system is started, and reflect the current state of the power grid and store data with higher real-time requirements.

The history data server runs a commercial database management system on one hand; on the other hand, the system has the functions of data processing, data storage, data distribution, data retrieval and data synchronization between the double servers. The two data servers adopt a main and standby hot standby working mechanism, so that the undisturbed automatic/manual switching can be realized, and the data is ensured not to be lost in the switching process.

4) Application server

The application server is four PC servers, a domestic operating system is installed, and an application service program runs on the application server, so that the powerful data processing capacity of the server is fully utilized. The data sampled by the historical data server is directly transmitted to a service program on the application server, the service program processes the data, and the processing result is sent to the workstation and the historical data server. Meanwhile, when the workstation needs data, the workstation directly sends a request to a service program on the server, the service program acquires the data and sends a result to the corresponding workstation, so that each workstation does not store the data, and the data is all stored by the server, thereby ensuring the consistency of the data.

5) Engineer workstation

And three PC workstations are used for installing domestic operating systems. The engineer workstation is used for system maintenance by operators on duty to maintain various databases; drawing and modifying various data or interfaces; generating and maintaining a report; system functions and authority maintenance; and (5) inputting and managing data.

6) Instructor/learner workstation

And three PC workstations for training and simulating the system users.

Referring to fig. 4, in one embodiment of the present invention, there is provided a new energy station cluster active sensing method, including:

The new energy station cluster active sensing method provided by the application is used for actively acquiring power grid sensing information, new energy station prediction information, peak regulation and frequency modulation information, network connection loop topology, parameters and the like of the new energy station cluster and surrounding new energy stations, acquiring the information such as the power output plan of each scheduling period before the day of an energy storage system, the day-ahead scheduling plan value distributed to each new energy station and the day-ahead output plan value of each energy storage system based on the information, and actively transmitting the information to other systems of the new energy station.

Through the steps, the operation benefits of the new energy station and the power grid can be effectively improved, technical reserves can be provided for the operation of the novel power system, and the novel power system has good economic benefits and social benefits.

In an embodiment, obtaining the relationship between the energy storage system adjustment capability and the operation scene, the scheduling period and the seasonal factors of the new energy station according to the power grid sensing information, the new energy station prediction information and the peak shaving and frequency modulation information includes: the energy storage system regulation capability is related to the power generation power prediction information of the new energy station prediction information in multiple time scales, the planned power curve of the power grid and the peak regulation and frequency modulation requirements, and the energy storage system needs to be correspondingly regulated by combining a scheduling period and seasonal factors, wherein the scheduling period comprises long time scale scheduling with a week as a period, short time scheduling with a day as a period and real-time scheduling with a minute as a period in the day; meanwhile, seasonal factors such as weather types, temperatures, load fluctuation characteristics and the like are considered, and the energy storage adjusting capacity is correspondingly adjusted.

In an embodiment, based on the relationship, determining the power plan for each scheduling period of the energy storage system before the day according to the grid awareness information and the new energy station forecast information includes:

combining the frequency of the power grid sensing information and the predicted time scale of the new energy station to obtain a power grid multi-time scale power gap curve, wherein the horizontal axis of the curve is time, the vertical axis of the curve is a power gap, the time interval is based on the acquisition frequency, generally, the time interval is a point of 15 minutes, 96 points are taken a day, and each point corresponds to the power gap value of the power grid at the moment;

calculating power output plans of different time scales based on the power grid multi-time scale power gap curve, and subtracting a power grid power gap based on the current output power of a new energy station, wherein the power output plans are scheduling plans for an energy storage system;

In one embodiment, the evaluating the upper and lower adjustment threshold ranges for each scheduling period before the day that the energy storage system provides to the grid accordingly includes:

and calculating the energy storage adjustable margin according to the current charge state, the residual capacity, the output power and the current charge and discharge times of the energy storage and the current charge and discharge times of the current day and the current month, wherein the energy storage adjustable margin comprises an upper adjustment threshold range, a lower adjustment threshold range and duration. The adjustable margin of the stored energy is related to its current power, state of charge, and remaining capacity, e.g., the rated power minus the margin that would be adjusted when the power was removed, and the remaining capacity divided by the adjustment threshold is the duration.

In an embodiment, the new energy station group and the surrounding new energy station grid-connected loop topology include:

In an embodiment, the obtaining the day-ahead schedule value allocated to each new energy station and the day-ahead output schedule value of each energy storage system according to the grid-connected loop topology and the parameters includes:

and combining grid-connected loop topology, completing system stability analysis, calculating to obtain an output distribution plan of each new energy station through tide, and obtaining a charge and discharge state, charge and discharge power and an output curve plan of the energy storage system according to the output distribution plan. The charge and discharge state is represented as positive or negative, the charge and discharge power is a value, and the output curve is a curve relationship established according to time and the value.

In an embodiment, the step of reporting the predicted output curve to perform power stabilization includes:

obtaining a new energy output total prediction curve of the access node,

In one embodiment, the performing power leveling in the stage of executing the scheduling plan includes:

and when the number of the nodes is equal to the total number of the power grid nodes, the distributed dispatching day-ahead output planning curve and the distributed energy storage output planning curve are sent to an intelligent combined centralized control system and a surrounding new energy station monitoring system. For example, the interaction implementation of the method and the power market optimization decision system is executed by the active sensing system based on the new energy station cluster, and the method is specifically as follows:

the relation between the new energy station cluster active sensing system and the power market optimization decision system is as follows: the new energy station cluster active sensing system receives the operation/history information of the power grid through a network interface, senses the operation situation of the power grid, and does not send information to the power market optimization decision system. The new energy station cluster active sensing system does not change the regulation and control relation of power grid dispatching to the intelligent combined centralized control system and the peripheral new energy station monitoring system, but analyzes the information such as the power grid state, the whole-grid power consumption demand prediction result issued by the power grid trading system, the limit value of the electric quantity of each thermal power generating set participating in the trade, the limit value of the electric quantity of each new energy enterprise participating in the trade and the like, and provides the optimized power prediction curve and operation decision information for the intelligent combined centralized control system and the peripheral new energy station monitoring system.

(1) Data interaction of power market optimization trading system

The interactive data content of the new energy station cluster active sensing system and the electric power market optimizing transaction system mainly comprises data such as predicted unified load, predicted output channel output, predicted total output curve of a non-market unit, predicted total output curve of a ground dispatching unit and the like. The specific data comprise unit information of a power plant, generating capacity of each generating unit, unit overhaul and equipment reconstruction plans, unit output limited conditions, unit outage information (starting time, ending time and outage capacity), generating unit overhaul plans, daily load prediction (total load and partition load), daily inter-system tie line transmission curve prediction (considering all known influences), generating output prediction (total output, partition output and various non-market unit output), new energy total output prediction (partition power type), hydro-electric (including extraction and storage) plan generating total output prediction, unit state and actual generating output (total output, partition output and various non-market unit output), new energy total real-time output (partition power type), hydro-electric total real-time output, real-time operation information, node allocation factor determination method, node and partition division basis, detailed data and the like.

(2) Communication scheme

The data interaction between the new energy station cluster active sensing system and the power market optimizing transaction system is carried out in an operation file mode, a file mode is adopted based on a network interface, and the data is transmitted through an SFTP protocol.

(1) Power grid regulation flexibility is improved based on power grid perception information and new energy station historical operation data

1) Description of the functionality

Based on historical operation information in aspects of power grid perception information, new energy station prediction information, peak regulation, frequency modulation and the like, the relation between energy storage regulation capacity and factors such as new energy station operation scenes, scheduling time periods, seasons and the like is excavated, based on the excavated relation, the output plan of each scheduling period before the energy storage day is determined according to the power grid perception information and the new energy station output prediction, and the up-regulation flexibility and the down-regulation flexibility of each scheduling period before the day, which can be provided for the power grid by the energy storage, are evaluated. By accurately evaluating the energy storage adjustment flexibility and ensuring enough adjustment flexibility in the execution process of the scheduling plan, the new energy station participates in the power grid flexibility adjustment process, and thus the adjustment flexibility of the power grid is improved.

2) Logic method and implementation idea

Firstly, based on historical operation information in aspects of power grid perception information, new energy station prediction information, peak regulation, frequency modulation and the like, the relation between energy storage regulation capacity and factors such as new energy station operation scenes, scheduling time periods, seasons and the like is excavated; then, based on the excavated relation, determining a power plan of each scheduling period before the energy storage day according to the power grid perception information and the new energy station output prediction; finally, the evaluation of the stored energy may provide the grid with up-regulation flexibility and down-regulation flexibility for each scheduling period in the past.

Input data: topology and parameters of the power grid; predicting a load curve of the power grid day before; predicting an output curve of new energy of a power grid in the future; the system comprises energy storage parameters (rated capacity, maximum and minimum values of charge and discharge electric quantity, maximum and minimum values of charge and discharge power, climbing speed, maximum and minimum values of SOC), conventional power plant parameters (installed capacity, minimum technical output and climbing speed), historical adjustment data (instructions, energy storage output curves or sampling values during execution) of daily scheduling plans, peak shaving/AGC/inertial control of three gorges new energy stations and surrounding new energy stations, and historical operation data of the new energy stations.

Outputting data: an up-regulation flexibility value (up-regulation capacity, up-regulation capacity duration) and a down-regulation flexibility value (down-regulation capacity, down-regulation capacity duration) of the stored energy; and (3) outputting a planned value of each energy storage in each scheduling period before the day.

The basic idea of improving the power grid adjustment flexibility based on the power grid perception information and the historical operation data of the new energy station is shown in fig. 5.

For example, in this embodiment, the data interaction implementation of the method and the intelligent combined centralized control system is performed based on the new energy station cluster active sensing system, which is specifically as follows:

The active sensing system establishes a data model by the following data, wherein the data model comprises a power grid topology and parameters, a power grid day-ahead load prediction curve, a power grid new energy day-ahead prediction output curve, energy storage parameters of a new energy station, a peripheral new energy station day-ahead dispatching plan, peak regulation requirements, peak power supply requirements, historical regulation data of peak regulation/AGC/inertia control and historical operation data of the new energy station;

the energy storage system is evaluated in the peak shaving capacity of the power grid by using the data model, and the capacity of the energy storage system participating in primary frequency modulation and the energy storage capacity participating in virtual inertia control are evaluated according to the response speed, capacity and duration of the energy storage system;

calculating a power output planning curve of each scheduling period before the energy storage day by using the capacity of the energy storage system participating in primary frequency modulation, the energy storage capacity participating in virtual inertial control, a new energy prediction result and a power grid power gap, evaluating the energy storage adjustment flexibility according to the power output planning curve before the energy storage day, and transmitting the power output curve and the evaluation result to an intelligent combined centralized control system and a surrounding new energy station monitoring system;

calculating the power plan curve for each scheduling period prior to the energy storage day includes: obtaining a power grid multi-time scale power gap curve according to the frequency of the power grid perception information and the prediction time scale of the new energy station,

and respectively making a week, a day and a real-time scheduling plan of the energy storage system based on the power output plan.

The energy storage regulation flexibility comprises an upper regulation threshold value and a lower regulation threshold value range of each scheduling period before the day;

the energy storage adjustment flexibility is evaluated, and the energy storage upper adjustment threshold value and the energy storage lower adjustment threshold value range are calculated according to the current charge state, the residual capacity, the output power and the current charging and discharging times of the day and the current charging and discharging times of the month.

The intelligent combined centralized control system and the peripheral new energy station monitoring system report the new energy station adjustment flexibility to the dispatching, receive a dispatching plan returned by the dispatching and a control dropping instruction, and combine the energy storage output plan to generate and execute a control strategy.

The energy storage system is evaluated for participating in peak regulation capacity of the power grid, and the capacity capable of participating in peak regulation is obtained by evaluating according to the current charge and discharge state, charge and discharge power and charge state of the energy storage system.

The energy storage regulation flexibility comprises the power and duration of response. The evaluation is also by a response power value, a duration value, etc.

(2) Communication scheme

The new energy station cluster active sensing system and the intelligent combined centralized control system communicate in a network interface mode, real-time operation information is transmitted in an IEC104 protocol, electric quantity data is transmitted in an IEC102 protocol, and power prediction information is transmitted in a file mode through an SFTP protocol.

(3) System-level active power stabilization based on new energy station output characteristic excavation

1) Description of the functionality

Excavating space-time complementary characteristics among new energy stations; and (3) realizing system-level active power stabilization by considering space-time complementary characteristics for the new energy stations connected with the same power grid node, and realizing the total stabilization of the sum of the active powers of a plurality of new energy stations.

2) Implementation method and logic thought

Input data: new energy station groups and surrounding new energy station grid-connected loop topologies and parameters; the new energy station group and nodes of the surrounding new energy stations connected to the power grid and the day-ahead predicted output curve; the energy storage parameters (rated capacity, maximum and minimum values of charge and discharge electric quantity, maximum and minimum values of charge and discharge power, climbing rate, maximum and minimum values of SOC) of the new energy station group and the surrounding new energy stations, and the daily schedule of the new energy station group and the surrounding new energy stations.

Outputting data: a day-ahead schedule value assigned to each new energy station; and the planned daily output value of each stored energy.

3) The basic thought for reporting the power stabilization of the active support system in the predicted output curve stage is as follows: and reasonably arranging an energy storage output plan according to the output plan curves of the new energy stations by utilizing the charge and discharge characteristics of the energy storage, so that the fluctuation of the total new energy output at grid frame nodes of the grid connected with the new energy stations is minimum. The basic idea is shown in fig. 6. Referring to fig. 6, power stabilization at the stage of reporting a predicted output curve includes:

obtaining a new energy output total prediction curve of the access node,

After the intelligent combined centralized control system and the peripheral new energy station end monitoring system receive the energy storage output curve, the new energy station output curve is overlapped with the energy storage output curve in the station to form a new predicted output curve of the new energy station; and reporting the station predicted output curve to a schedule.

(4) Active support system level power stabilization during execution of dispatch plan phase

1) The active sensing system excavates the cross-correlation coefficient among the active outputs of all the stations according to the historic output curves of the new energy stations. In order to actively stabilize the fluctuation of the active power of the new energy station cluster by utilizing the space-time complementary characteristic, the active sensing system is to describe the space-time complementary characteristic by adopting the cross-correlation coefficient of the active power of the new energy station. According to the existing research results, probability distribution functions of the output and fluctuation characteristics of the same new energy station in different years are basically the same (without considering wind abandoning and light abandoning), so that the new energy station output cross-correlation coefficient can be calculated by adopting the new energy station historical output data.

2) And determining grid nodes of grid connection of the new energy stations (groups), and grouping the new energy stations according to the grid nodes of grid connection, namely, grouping the new energy stations (groups) which are grid-connected in the same grid node into the same group.

3) And (5) a new energy station group which is connected with each grid node.

4) And the active sensing system sends the distributed new energy station scheduling day-ahead power planning curve and the power planning curve of each energy storage to the intelligent combined centralized control system and the peripheral new energy station monitoring system. The basic idea is shown in figure 7. Referring to fig. 7, power leveling in performing a scheduling phase includes:

Then, the intelligent combined centralized control system and the peripheral new energy station monitoring system receive the day-ahead dispatching output planning curve and the energy storage output planning curve and send the output planning curve to the energy storage system;

and finally, after the energy storage system receives the instruction, adopting an active balance control strategy under the constraint that the average value meets the output plan, and stabilizing and simulating active output fluctuation on a frequency modulation time scale.

For example, the active sensing system of the new energy station cluster performs the interactive implementation of the method and the monitoring system of the peripheral new energy station, and the method is specifically as follows:

the new energy station cluster active sensing system receives the operation/history information of the surrounding new energy station monitoring system by adopting a network interface, senses the operation situation of the surrounding new energy station, and acquires a scheduling plan and a control instruction of scheduling on the surrounding new energy station monitoring system. And the new energy station cluster active sensing system sends the comprehensive result of the active supporting strategy to the regional centralized control system and forwards the comprehensive result to the surrounding new energy station monitoring system for reference or execution by the surrounding new energy station monitoring system.

(1) New energy station cluster active sensing system and surrounding new energy station data interaction

Through the communication with regional centralized control system, gather the data of peripheral new forms of energy station, mainly include: real-time operation parameters (telemetry and telemetry), electric quantity, a current active output prediction curve, active output historical operation data of the station, operation conditions and adjustable capacity of station units/energy storage/reactive power adjustment equipment, AGC instruction execution historical data, virtual inertia instruction execution historical data and the like of the new energy station. The specific data comprise real-time operation parameters (telemetry and telemetry), electric quantity, a future active output prediction curve, station active output historical operation data, active adjustable capacity, virtual inertia and inertia adjustable capacity, energy storage operation conditions, peak regulation instruction execution historical data, AGC instruction execution historical data, virtual inertia instruction execution historical data and the like.

The control instruction executed by the monitoring system of the peripheral new energy station end is output by the active sensing system and comprises an active power planning value of the new energy station cluster in each scheduling period, the adjustment flexibility and the energy storage adjustment flexibility of the new energy station cluster in each scheduling period and an optimized output prediction curve.

(2) Communication scheme

The new energy station cluster active sensing system and the surrounding new energy stations adopt a network interface mode, real-time operation information is transmitted by adopting an IEC104 protocol, electric quantity data is transmitted by adopting an IEC102 protocol, power prediction information is transmitted by adopting a file mode, and the information is transmitted by adopting an SFTP protocol.

(3) Intelligent early warning function based on power grid sensing information

1) Description of the functionality

By carrying out quick and accurate simulation calculation on the whole-network predicted accidents and the future operation mode changes, analyzing the operation risk points of the power grid and the future operation situation of the power grid, the quantitative analysis and simulation verification of the operation trend of the power grid under various extreme conditions are realized. The system and the method can provide suggestions for operators of the centralized control center, so that the operators of the centralized control center can adjust the system through the suggestions in combination with actual conditions, and the power plant operates in an optimized state. For example, early warning of busbar voltage and branch load conditions in the vicinity of new energy stations, and adjustment advice when limit values are exceeded, such as in extreme weather conditions; when the bus voltage of the system runs near the low limit value, near the high limit value or beyond the limit value, system adjustment advice can be provided for centralized control center operators in real time so that the beyond-limit bus voltage is recovered to be within a normal range; and the method can also provide suggestions for operators of the centralized control center in real time by combining the current system state to bypass limit, so that the bypass load rate is reduced. 15 minutes early warning can be provided for operators, and the safety and stability of system operation are ensured.

2) Implementation method and logic thought

The prediction data and the bus load prediction are used as the basic data of the prediction section, the current grid data and the measurement data are combined to form a basic case, and the basic case is calculated through state estimation to obtain an available basic case in a future state (for example, 15 minutes or longer).

The method comprises the following steps:

obtaining topology information, load prediction and bus load prediction results of information of the collecting station and the new energy station and 220kV station and new energy station power prediction results;

forming a data section of the future state of the power grid according to the information, performing steady-state analysis calculation (tide calculation) under the condition of preset conditions, giving an early warning result of a concerned point, and forming fault set definition, warning and suggestion content;

and displaying the advice information on an interface to form a base case library which is available in future states.

The invention aims to protect a new energy station cluster active sensing method, wherein a strategy (comprehensive result) with an active supporting function on a power grid is obtained based on new energy station cluster operation information, historical information and an active supporting strategy, and is sent to an intelligent combined centralized control system and an area centralized control system, and then forwarded to a surrounding new energy station monitoring system for reference or execution of the surrounding new energy station monitoring system. Through the steps, the operation benefits of the new energy station and the power grid can be effectively improved, technical reserves can be provided for the operation of the novel power system, and the novel power system has good economic benefits and social benefits.

The method belongs to the technical field of energy, and can be applied to the scenes of distributed new energy operation control, scheduling and the like. Active perception is divided into five aspects:

(1) And sensing the running situation of the power grid. The active sensing system acquires a whole-network electricity demand prediction result, an electric quantity limit value of each thermal power generating unit participating in trade, an electric quantity limit value of each new energy enterprise participating in trade, a power grid structure and model parameters thereof, a power plant type and parameters thereof.

(2) And sensing the running situation of the new energy station cluster and the peripheral new energy stations. The sensing of real-time operation parameters (telemetry and telemetry), the power output, the maintenance plan and the health condition of the equipment and the operation situation comprises an active output prediction curve, station active output historical operation data, the operation condition and the adjustable capacity of station units/energy storage/reactive power adjustment equipment and the like.

(3) And the active sensing is realized by adopting the analysis of the related communication protocol. Based on TCP/IP protocol mode, the service end provides service, accesses service through IP address and port, the client computer carries out message interaction through port appointed by the connection server, the service end and the client computer agree on request message format and response message format, which can be based on standard IEC61850, IEC-101, IEC-102, IEC-104, DL476, modbus TCP, HTTP protocol, SFTP and other protocols, and can also adopt the format agreed by both parties.

(4) And adopting an interface mode to perform active sensing. For large data volume interaction, adopting a file interaction mode to agree on contents such as file server addresses, file naming rules, file content formats and the like, and carrying out data interaction by uploading files to a counterpart file server. The system exchanges data by connecting to the opposite side database server, the opposite side database server sets a special user name, a password and a public table space, and pushes data to the public table space at regular time, and the data receiving client is connected to the server side database for reading data.

(5) New energy station cluster initiative perception system. The active sensing system of the new energy station cluster comprises four functions of situation sensing, active support, auxiliary decision making and comprehensive display. And actively sensing the running situation of the power grid, the cluster running situation of the new energy stations and the running situation of the peripheral new energy stations, carrying out analysis and calculation on the aspects of active power balance and new energy consumption, generating a strategy with an active supporting function on the power grid, and transmitting the strategy to an intelligent combined centralized control system and a peripheral new energy station monitoring system.

It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explanation of the principles of the present invention and are in no way limiting of the invention. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.

The invention has been described above with reference to the embodiments thereof. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. The scope of the invention is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the invention, and such alternatives and modifications are intended to fall within the scope of the invention.

Although embodiments of the present invention have been described in detail, it should be understood that various changes, substitutions, and alterations can be made hereto without departing from the spirit and scope of the invention.

It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Those of ordinary skill in the art will appreciate that all or a portion of the steps in implementing the methods of the above embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, where the program when executed includes the steps of the embodiments of the methods as described below. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a Random Access Memory (RAM), or the like.

The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The modules in the system device of the embodiment of the invention can be combined, divided and deleted according to actual needs.

Claims

1. The active sensing method for the new energy station cluster is characterized by comprising the following steps of:

performing power stabilization in the stage of reporting the predicted output curve, and performing power stabilization in the stage of executing the scheduling plan;

the relation between the energy storage system regulation capability and the operation scene, the scheduling period and the seasonal factors of the new energy station comprises: the energy storage system adjustment capability is related to the power generation power prediction information of the new energy station prediction information in multiple time scales, the planned power curve of the power grid and the peak regulation and frequency modulation requirements, and is correspondingly adjusted by combining a scheduling period and seasonal factors, wherein the scheduling period comprises long time scale scheduling with a week as a period, short time scheduling with a day as a period and real-time scheduling with a minute as a period in a day; meanwhile, seasonal factors of weather types, temperature and load fluctuation characteristics are considered, and the energy storage adjusting capacity is correspondingly adjusted;

The determining the power output plan of each scheduling period before the energy storage system day according to the power grid perception information and the new energy station prediction information based on the relation comprises the following steps:

calculating power output plans of different time scales based on the power grid multi-time scale power gap curve,

respectively making a week, a day and a real-time scheduling plan of the energy storage system before the day based on the power output plan;

the situation awareness data interface realizes data interaction with an electric power market optimization decision system, an intelligent combined centralized control system and a peripheral new energy station monitoring system, and achieves the awareness function of the power grid operation situation and the new energy station operation situation required by active support;

based on data perception, carrying out analysis and calculation on the aspects of active balance and new energy consumption;

on the basis of the situation awareness function, the active supporting function generates a strategy with an active supporting function on the power grid; the active support function realizes that the new energy station clusters and the surrounding new energy stations improve the power grid adjustment flexibility, optimize new energy consumption and stabilize active support of the power grid based on system-level active power excavated by the output characteristics of the new energy stations based on power grid perception information, and improve the running performance of the power grid;

The auxiliary decision function synthesizes the strategy result generated by the active supporting function, converts the strategy result into decision information for the operation of the new energy station cluster or the surrounding new energy stations, sends the decision information to the intelligent combined centralized control system of the new energy station cluster and the surrounding new energy station monitoring system for reference or execution, and simultaneously realizes the active supporting function.

2. The method of claim 1, wherein the evaluating the upper and lower adjustment threshold ranges for each scheduling period before day provided by the energy storage system to the grid comprises: and calculating an upper adjustment threshold range and a lower adjustment threshold range of the energy storage according to the current charge state, the residual capacity, the output power, the current charge and discharge times of the day and the current charge and discharge times of the month of the energy storage.

3. The active sensing method of a new energy station cluster according to claim 2, wherein the new energy station cluster and surrounding new energy station grid-connected loop topology comprises:

4. The method of claim 3, wherein the obtaining the daily schedule value assigned to each new energy station and the daily output schedule value of each energy storage system according to the grid-connected loop topology and the parameters comprises: and combining grid-connected loop topology, completing system stability analysis, calculating power flow to obtain an output distribution plan of each new energy station, and obtaining the charge and discharge states and charge and discharge power of the energy storage system according to the output distribution plan.

5. The method for actively sensing a new energy station cluster according to claim 4, wherein the step of reporting the predicted output curve to perform power stabilization includes:

Obtaining a new energy output total prediction curve of the access node,

6. The method of claim 5, wherein the performing power leveling in the scheduling stage comprises:

7. The utility model provides a new energy station cluster initiative perception system which characterized in that includes:

the new energy station cluster active sensing system is used for executing the new energy station cluster active sensing method according to any one of claims 1-6.

8. A new energy station, comprising: the intelligent integrated control system comprises a power grid EMS, a power grid transaction system, an electric power market optimization decision system, an intelligent integrated control system, a wind-light storage station end monitoring system, an area integrated control system, a new energy station end monitoring system and a new energy station cluster active sensing system; the new energy station cluster active sensing system comprises the new energy station cluster active sensing system as set forth in claim 7;