CN114362201B - Power grid power balance control method and device and energy storage power station cluster - Google Patents

Abstract

The application provides a power grid power balance control method and device and an energy storage power station cluster, wherein the method comprises the following steps: acquiring power grid operation data of a regional power grid; determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data; and adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, and if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid. The method and the device can improve accuracy and efficiency of power grid power balance control, further can ensure stable operation of the power grid, and can reduce cost of power grid power balance control.

Description

Power grid power balance control method, device and energy storage power station cluster

Technical Field

The present application relates to the field of energy storage and new energy technology, and in particular to a power grid power balance control method, device and energy storage power station cluster.

Background Art

As renewable energy power generation enters the stage of large-scale application, a large number of distributed wind and solar renewable energy sources are pouring into regional power grids. The random volatility of renewable energy output causes serious power disturbances in regional power grids, which not only affects the voltage quality of the regional power grid itself, but also increases the operating pressure of the regional power grid when a large number of disturbances are transmitted to the main power grid. At the same time, frequent power disturbances seriously affect the economic and safe operation of the regional power grid.

At present, power disturbances in regional power grids are usually balanced through peak shaving, frequency regulation and reserve capacity; however, as new energy replaces traditional energy, the inertia and frequency regulation capabilities of the power grid are weakened, and the frequency fluctuations caused by power disturbances are more obvious. Balancing only through peak shaving, frequency regulation and reserve capacity will have a slow response and poor effect on power balance control of the power grid.

Summary of the invention

In response to the problems in the prior art, the present application proposes a power grid power balance control method, device and energy storage power station cluster, which can improve the accuracy and efficiency of power grid power balance control, thereby ensuring the stable operation of the power grid, and at the same time reduce the cost of power grid power balance control.

In order to solve the above technical problems, this application provides the following technical solutions:

In a first aspect, the present application provides a power grid power balance control method, comprising:

Obtain grid operation data of regional power grids;

According to the power grid operation data, determining the independent energy storage power station group to be processed from the multiple independent energy storage power station groups corresponding to the regional power grid;

The independent energy storage power station group to be processed is applied to adjust the power of the regional power grid, and it is determined whether the power of the regional power grid after adjustment exceeds the preset power fluctuation range. If so, a pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid are applied to perform power balance control on the regional power grid.

Further, the determining, based on the power grid operation data, from a plurality of independent energy storage power station groups corresponding to the regional power grid, a to-be-processed independent energy storage power station group includes:

Determining the spatiotemporal fluctuation classification of the regional power grid according to the power grid operation data;

According to the spatiotemporal fluctuation classification, an independent energy storage power station group to be processed is determined from a plurality of independent energy storage power station groups corresponding to the regional power grid.

Furthermore, the application of the pre-built economic optimization model of the new energy station and the new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid includes:

According to a pre-constructed economic optimization model for new energy stations, a target new energy station is selected from the new energy station group when the sum of the energy storage cost and the sum of the operating cost in the entire dispatching cycle is determined to be the lowest;

The target new energy station is used to perform power balance control on the regional power grid.

Furthermore, the steps of constructing the new energy station economic optimization model include:

Constructing an economic optimization model for the new energy station based on the operating cost of the new energy station and the energy storage cost of the battery life loss;

The optimization goal of the new energy station economic optimization model is to minimize the sum of energy storage costs and the sum of operating costs in the entire scheduling cycle; the constraints of the new energy station economic optimization model include: power balance constraints, energy storage charge state constraints and charging and discharging power constraints.

Further, the power grid operation data includes: current power, fluctuation amplitude degree and time-space fluctuation duration;

Correspondingly, determining the spatiotemporal fluctuation classification of the regional power grid according to the power grid operation data includes:

The spatiotemporal fluctuation classification of the regional power grid is determined according to the current power, the fluctuation amplitude and the spatiotemporal fluctuation duration.

Further, the determining of the independent energy storage power station group to be processed from the multiple independent energy storage power station groups corresponding to the regional power grid according to the spatiotemporal fluctuation classification includes:

If the spatiotemporal fluctuation classification is short-term spatiotemporal fluctuation classification, an independent energy storage power station group consisting of all small independent energy storage power stations is determined as the independent energy storage power station group to be processed;

If the spatiotemporal fluctuation classification is a medium spatiotemporal fluctuation classification, an independent energy storage power station group consisting of all medium-sized independent energy storage power stations is determined as the independent energy storage power station group to be processed;

If the spatiotemporal fluctuation classification is a long spatiotemporal fluctuation classification, then the independent energy storage power station group composed of all large independent energy storage power stations is determined as the independent energy storage power station group to be processed.

Furthermore, the power grid power balance control method further includes:

Obtain the power capacity of multiple independent energy storage power stations;

According to the power capacity of each independent energy storage power station, the independent energy storage power station is divided into small independent energy storage power station, medium independent energy storage power station and large independent energy storage power station.

Furthermore, the applying of the independent energy storage power station group to be processed to adjust the power of the regional power grid includes:

Obtaining the energy storage power station type, charging and discharging status, current state of charge, discharge power, charging and discharging response time, and physical distance from the grid connection point of the regional power grid of each independent energy storage power station in the independent energy storage power station group;

Selecting a target independent energy storage power station from the group of independent energy storage power stations to be processed according to the charge and discharge status, current charge state, discharge power, charge and discharge response time of each independent energy storage power station and the physical distance from the grid connection point of the regional power grid;

According to the type of energy storage power station and the current state of charge, the target independent energy storage power stations are sorted, and the target independent energy storage power stations are called in sequence to perform power balance control of the regional power grid until the regional power grid reaches power balance or all target independent energy storage power stations are called.

Furthermore, the large-scale independent energy storage power station includes: a new battery energy storage power station and a cascade utilization energy storage power station;

Correspondingly, the method of selecting a target independent energy storage power station from the group of independent energy storage power stations to be processed according to the charge and discharge status, current charge state, discharge power, charge and discharge response time and physical distance from the grid connection point of the regional power grid of each independent energy storage power station includes:

Dividing each independent energy storage power station into a new battery energy storage power station group and a cascade utilization energy storage power station group according to the energy storage power station type;

Sorting the new battery energy storage power station group by applying the charge and discharge state, current charge state, discharge power, charge and discharge response time, and physical distance from the grid connection point of the regional power grid;

The cascade utilization energy storage power station groups are sorted by applying the charge and discharge state, current charge state, discharge power, charge and discharge response time, and physical distance from the grid connection point of the regional power grid;

According to the new battery energy storage power station group, the cascade utilization energy storage power station group and their respective ranking results, the ranking results of each independent energy storage power station are determined.

In a second aspect, the present application provides a power grid power balance control device, comprising:

An acquisition module, used to acquire power grid operation data of a regional power grid;

A determination module, configured to determine, according to the power grid operation data, a to-be-processed independent energy storage power station group from a plurality of independent energy storage power station groups corresponding to the regional power grid;

The power balance control module is used to apply the independent energy storage power station group to be processed to adjust the power of the regional power grid, and determine whether the power of the regional power grid after adjustment exceeds a preset power fluctuation range. If so, a pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid are applied to perform power balance control on the regional power grid.

Furthermore, the determining module includes:

A first determining unit, configured to determine a spatiotemporal fluctuation classification of the regional power grid according to the power grid operation data;

The second determination unit is used to determine the independent energy storage power station group to be processed from the multiple groups of independent energy storage power station groups corresponding to the regional power grid according to the spatiotemporal fluctuation classification.

Furthermore, the power balance control module includes:

A selection unit, for determining, according to a pre-built economic optimization model for new energy stations, a target new energy station selected from the new energy station group when the sum of the energy storage cost and the sum of the operating cost in the entire dispatching cycle is the lowest;

A balancing control unit is used to apply the target new energy station to perform power balancing control on the regional power grid.

Further, the power grid operation data includes: current power, fluctuation amplitude degree and time-space fluctuation duration;

Correspondingly, the first determining unit includes:

The spatiotemporal fluctuation classification subunit is used to determine the spatiotemporal fluctuation classification of the regional power grid according to the current power, fluctuation amplitude and spatiotemporal fluctuation duration.

Further, the second determining unit includes:

A first determination subunit is used to determine the independent energy storage power station group composed of all small independent energy storage power stations as the independent energy storage power station group to be processed if the spatiotemporal fluctuation classification is short spatiotemporal fluctuation classification;

A second determination subunit is used to determine the independent energy storage power station group composed of all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed if the spatiotemporal fluctuation classification is a medium spatiotemporal fluctuation classification;

The third determination subunit is used to determine the independent energy storage power station group composed of all large independent energy storage power stations as the independent energy storage power station group to be processed if the spatiotemporal fluctuation classification is the long spatiotemporal fluctuation classification.

In a third aspect, the present application provides an energy storage power station cluster, including:

The new energy station group and the independent energy storage power station group; the new energy station group includes: multiple new energy stations, and the independent energy storage power station group includes: multiple independent energy storage power stations; each independent energy storage power station and new energy station are connected via a node transformer.

In a fourth aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the power grid power balance control method when executing the program.

In a fifth aspect, the present application provides a computer-readable storage medium having computer instructions stored thereon, which implement the power grid power balance control method when the instructions are executed.

It can be seen from the above technical scheme that the present application provides a power grid power balance control method, device and energy storage power station cluster. Among them, the method includes: obtaining the power grid operation data of the regional power grid; according to the power grid operation data, determining the independent energy storage power station group to be processed from the multiple groups of independent energy storage power station groups corresponding to the regional power grid; using the independent energy storage power station group to be processed to adjust the power of the regional power grid, and determine whether the power of the regional power grid after adjustment exceeds the preset power fluctuation range. If so, the pre-constructed new energy site economic optimization model and the new energy site group corresponding to the regional power grid are used to perform power balance control on the regional power grid, which can improve the accuracy and efficiency of the power balance control of the power grid, thereby ensuring the stable operation of the power grid, and reducing the cost of the power balance control of the power grid; specifically, it can reasonably share and orderly absorb power disturbances at various levels within the regional power grid; it can consider the performance differences of independent energy storage power stations and the economy of new energy sites, and combine In terms of energy and economy, while ensuring the safe and stable operation of the regional power grid, the performance characteristics of various energy storages can be fully utilized to balance and smooth the power fluctuations of the regional power grid. The performance characteristics and optimal economic costs of independent energy storage power stations and new energy stations equipped with energy storage can be comprehensively considered, and reasonable energy storage power station operation plans and characteristic indicators of energy storage power stations in the region can be determined based on global optimization. The energy storage power station receives the indicator parameters given by the regional power grid, and taps into controllable and adjustable resources such as energy storage in the region. While ensuring the economic and safe power supply of the regional power grid itself, the power of the energy storage power station can be adjusted in real time to meet the indicator limits and different scenarios. It has a wide range of application scenarios and can provide active support for the actual production of the regional power grid; it can comprehensively evaluate the current response capabilities of each independent energy storage power station and new energy station equipped with energy storage, and can ensure the safe operation of the power grid while improving the consumption of new energy, and promote the realization of the dual carbon goals.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG1 is a schematic flow chart of a power grid power balance control method in an embodiment of the present application;

FIG2 is a flow chart of steps 511 and 512 of the power grid power balance control method in an embodiment of the present application;

FIG3 is a flow chart of steps 001 and 002 of the power grid power balance control method in an embodiment of the present application;

FIG4 is a flow chart of steps 421 and 423 of the power grid power balance control method in an embodiment of the present application;

FIG5 is a curve diagram showing the change of volatility limit with volatility duration in an example of the present application;

FIG6 is a flow chart of a power grid power balance control method in an application example of the present application;

FIG7 is a schematic diagram of the structure of a power grid power balance control device in an embodiment of the present application;

FIG8 is a logic diagram of a regional power grid in an example of the present application;

FIG. 9 is a schematic block diagram of a system structure of an electronic device according to an embodiment of the present application.

DETAILED DESCRIPTION

In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

In order to facilitate the understanding of this solution, the technical contents related to this solution are first explained.

State of Charge (SOC) is used to reflect the remaining capacity of the battery. Its value is defined as the ratio of the remaining capacity to the battery capacity, usually expressed as a percentage. Its value range is 0 to 1. When SOC = 0, it means that the battery is fully discharged, and when SOC = 1, it means that the battery is fully charged.

In order to solve the problems existing in the above-mentioned prior art, the present application provides a power grid power balance control method, device and energy storage power station cluster, which considers the disturbance absorption capacity and controllable and adjustable space of the region, customizes a reasonable operation plan and characteristic indicators of various types of energy storage power stations in the region from the perspective of global optimization, and various types of energy storage power stations receive the indicator parameters given by the regional power grid, tap the controllable and adjustable equipment resources such as storage load in the region, and adjust the node power in real time to meet the indicator limit while ensuring the economic and safe power supply of the regional power grid itself, so as to meet the operation mode in different scenarios, and realize the optimization of the cross-section smoothing control of the regional power grid; an independent energy storage power station can represent an energy storage power station, which does not include a wind farm and a photovoltaic power station; a new energy station equipped with energy storage can be composed of a wind farm and an energy storage power station, or a photovoltaic power station and an energy storage power station, or a wind farm, a photovoltaic power station and an energy storage power station; an energy storage power station can be a new battery energy storage power station or a cascaded battery energy storage power station.

The power disturbance of the regional power grid is divided into three time and space scales: short, medium and long. According to its disturbance characteristics, it is adaptively matched with the energy storage power station in the regional power grid. The specific boundary setting value will be configured differently according to the specific situation of the regional power grid, which mainly depends on the power control cycle and grid architecture of the regional power grid. Different time and space scales will trigger different control cycles. The regional power grid can realize deep learning of self-disciplined adaptive characteristics at different time and space scales to meet the needs of different response and adjustment scenarios of the regional power grid.

Considering the differences in call frequency and flexibility between independent energy storage power stations and new energy stations equipped with energy storage, both energy storage power stations and new energy stations equipped with energy storage can be used as tools for autonomous operation and regulation of regional power grids. In order to achieve economical call of regional power grids, independent energy storage power stations are called for charging and discharging operation first. When independent energy storage power stations are insufficient for regulation, new energy stations equipped with energy storage are called to further determine the call level. New energy stations equipped with energy storage prioritize economic efficiency and operate and regulate with comprehensive response characteristics.

The optimal economic operation model for new energy stations equipped with energy storage comprehensively considers the energy storage cost due to battery life loss and the operating cost of new energy stations, with the optimization goal of minimizing the sum of the energy storage cost and the operating cost of the new energy station during the entire dispatching cycle.

For frequency modulation and other scenarios, the frequency response mainly includes two parameters: the maximum frequency deviation and the steady-state deviation. Under the condition of a certain inertia of the regional power grid, the larger the disturbance amplitude, the larger the maximum frequency deviation and the steady-state deviation. First, assume the allowable values of the maximum frequency deviation and the static deviation of the regional power grid, and determine the maximum tolerable power disturbance amplitude of the power grid based on the frequency response characteristics of the power grid. The maximum tolerable power disturbance indicates that the total power change of the power source in the regional power grid cannot exceed this limit, and the excess part is autonomously absorbed and processed by the regional power grid. Therefore, the power fluctuation disturbance at the spatiotemporal scale should be the maximum tolerable power disturbance of the regional power grid to constrain the load in the regional power grid.

Considering the call frequency and flexibility differences of independent energy storage power stations and new energy stations equipped with energy storage, energy storage power stations and new energy stations equipped with energy storage can be used as control and operation adjustment tools for participating in the regional power grid in the long-term and spatial scale. The spatial and temporal fluctuations are classified and planned separately, and the strategy for smoothing the spatial and temporal fluctuation power is judged by the fluctuation limit. When different upper limits are triggered, the corresponding energy storage power station is adaptively responded and smoothed (according to the dynamic operation status of each energy storage power station, the capacity size, the physical distance of the grid-connected voltage level, the current charge and discharge power, the response characteristics and accuracy are sorted, and the energy storage power station with the best overall response is given priority). When all independent energy storage power stations cannot meet the current power fluctuations, the regional system power grid begins to start the prefabricated and selected new energy stations equipped with energy storage to further smooth the long-term and spatial fluctuations.

Based on this, in order to improve the accuracy and efficiency of power grid power balance control, thereby ensuring the stable operation of the power grid and reducing the cost of power grid power balance control, the embodiment of the present application provides a power grid power balance control device, which can be a server or client device, and the client device can include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, and a smart wearable device, etc. Among them, the smart wearable device can include smart glasses, smart watches, and smart bracelets, etc.

In practical applications, the part of the power grid power balance control can be executed on the server side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

The server and the client device may communicate using any suitable network protocol, including network protocols that have not yet been developed on the filing date of this application. The network protocol may include, for example, TCP/IP protocol, UDP/IP protocol, HTTP protocol, HTTPS protocol, etc. Of course, the network protocol may also include, for example, RPC protocol (Remote Procedure Call Protocol) and REST protocol (Representational State Transfer) used on top of the above protocols.

The details are described through the following embodiments.

In order to improve the accuracy and efficiency of power grid power balance control, thereby ensuring the stable operation of the power grid and reducing the cost of power grid power balance control, this embodiment provides a power grid power balance control method in which the execution subject is a power grid power balance control device, and the power grid power balance control device includes but is not limited to a server, as shown in FIG1, and the method specifically includes the following contents:

Step 100: Obtain grid operation data of a regional power grid.

Specifically, the power grid operation data may include: current power, fluctuation amplitude and time-space fluctuation duration.

Step 200: According to the power grid operation data, determine the independent energy storage power station group to be processed from the multiple independent energy storage power station groups corresponding to the regional power grid.

Specifically, the energy storage power station cluster may include: a new energy station group and multiple types of independent energy storage power station groups; wherein the multiple types of independent energy storage power station groups are: a small independent energy storage power station group, a medium-sized independent energy storage power station group and a large independent energy storage power station group; the independent energy storage power stations in the small independent energy storage power station group and the medium-sized independent energy storage power station group are all new battery energy storage power stations, and the large independent energy storage power station group may include new battery energy storage power stations and cascade utilization battery energy storage power stations; the cascade utilization battery energy storage power stations in the independent energy storage power stations only participate in peak shaving and valley filling at a long temporal and spatial scale; the new energy station group may include multiple new energy stations configured with energy storage; the independent energy storage power station group corresponding to the power grid operation data may be determined from the energy storage power station cluster corresponding to the regional power grid as the independent energy storage power station group to be processed.

Step 300: Apply the independent energy storage power station group to be processed to adjust the power of the regional power grid, and determine whether the power of the regional power grid after adjustment exceeds a preset power fluctuation range. If so, apply a pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid.

Specifically, when the power of an independent energy storage power station in the independent energy storage power station group has reached the limit and the regional power grid power still fluctuates, it is determined that the independent energy storage power station has not smoothed the power of the power grid, that is, if the power of the independent energy storage power station is less than the fluctuating power, it does not meet the smoothing requirement. When the regulation capacity of the independent energy storage power station is insufficient, economic efficiency is given top priority, combined with response performance and other capabilities to smooth the power disturbance at the spatiotemporal scale. The energy storage capacity of the new energy station currently configured with energy storage is approximately 10% to 20% of the capacity of the new energy station. In this embodiment, the energy storage station in the new energy station configured with energy storage is a new battery energy storage station. And the configured energy storage is also divided into energy type and power type (mainly the difference in power size and capacity size), and here the operation is mainly judged based on the size of power and capacity.

In order to further improve the accuracy of determining the target energy storage power station group, in one embodiment of the present application, step 200 includes:

Step 201: Determine the spatiotemporal fluctuation classification of the regional power grid according to the power grid operation data.

Step 202: According to the spatiotemporal fluctuation classification, determine the independent energy storage power station group to be processed from the multiple independent energy storage power station groups corresponding to the regional power grid.

Specifically, the corresponding relationship between the spatiotemporal fluctuation classification, current power, fluctuation amplitude and spatiotemporal fluctuation duration can be preset; in an example, the corresponding relationship between the spatiotemporal fluctuation classification, current power, fluctuation amplitude and spatiotemporal fluctuation duration is shown in Table 1:

Table 1

That is to say, as shown in Figure 5, in this example, when the duration of space-time fluctuation is less than 30 minutes or the duration of space-time fluctuation is ≥210 minutes, and the fluctuation amplitude is less than 5% of the current power, the space-time fluctuation of the regional power grid is classified as short space-time fluctuation; when 30 minutes ≤ space-time fluctuation duration < 90 minutes or 180 minutes ≤ space-time fluctuation duration < 210 minutes, 5% of the current power ≤ fluctuation amplitude < 10% of the current power, the space-time fluctuation of the regional power grid is classified as medium space-time fluctuation; when 90 minutes ≤ space-time fluctuation duration < 180 minutes, 10% of the current power ≤ fluctuation amplitude, the space-time fluctuation of the regional power grid is classified as long space-time fluctuation.

In order to further improve the reliability of power balance control of the regional power grid, as shown in FIG2 , in one embodiment of the present application, the application of the pre-built new energy station economic optimization model and the new energy station group corresponding to the regional power grid in step 400 to perform power balance control on the regional power grid includes:

Step 511: According to the pre-constructed economic optimization model for new energy stations, determine the target new energy station selected from the new energy station group when the sum of the energy storage cost and the sum of the operating cost in the entire dispatching cycle is the lowest.

Specifically, the number of target new energy stations can be pre-set according to actual needs, and the present application does not impose any restrictions on this; there can be multiple target new energy stations, and compared with the same number of other new energy stations, when the target new energy stations are used to perform power balance control on the regional power grid, the sum of the energy storage costs and the sum of the operating costs in the entire scheduling cycle are the lowest, and the target new energy stations all meet the constraints corresponding to the new energy station economic optimization model.

Step 512: Apply the target new energy station to perform power balance control on the regional power grid.

In order to build the reliability of the economic optimization model of the new energy station, and then apply the reliable economic optimization model of the new energy station to save the cost of the power balance control process of the power grid, referring to FIG3, in one embodiment of the present application, the steps of building the economic optimization model of the new energy station include:

Step 001: Construct an economic optimization model for the new energy station based on the operating cost of the new energy station and the energy storage cost of the battery life loss.

Specifically, the new energy station is a new energy station equipped with energy storage.

Step 002: The optimization goal of the new energy station economic optimization model is to minimize the sum of the energy storage cost and the sum of the operating cost in the entire scheduling cycle; the constraints of the new energy station economic optimization model include: power balance constraints, energy storage charge state constraints and charging and discharging power constraints.

Specifically, the new energy station includes: energy storage inverter (energy conversion device) and battery (energy storage battery).

Taking the minimum sum of the energy storage cost and the operating cost of the new energy station in the whole dispatching cycle as the optimization goal, an economic optimization model of the new energy station is proposed; the economic optimization model minC _total of the new energy station is:

minC _total =C _sumbat +C _sumgrid

C _sumbat = C _sys + C _loss

C _sumgrid ＝C _buy +C _togrid +C _{re_loss} +C _{Dp_loss} +C _exchange

Among them, C _total represents the comprehensive cost of the new energy station during the operation cycle, C _sumbat represents the energy storage cost considering the battery life loss of the new energy station, and C _sumgrid represents the operation cost of the new energy station; the new energy stations in the new energy station group are screened according to the constraints, and the new energy station economic optimization model is applied to determine the minimum cost (including: energy storage cost and operation cost) of each new energy station that meets the constraints; based on the lowest cost, they are sorted from small to large, and a preset number of new energy stations are selected from front to back as target new energy stations, and the target new energy stations are called in turn to perform power balance control on the regional power grid until the regional power grid reaches power balance.

1) The initial investment cost (yuan) C _sys of a new energy station can be obtained according to the following formula:

C _sys = C _bat + C _PCS

C _PCS = C _{P Rat}

Among them, _CP represents the unit price of the energy conversion device (yuan/kW), _Prat represents the rated power of the battery (kW), _CE represents the unit price of the battery itself (yuan/(kW·h)), _ηb represents the conversion efficiency of the new energy station (%); t represents the rated discharge time of the new energy station (h); _Cbat represents the battery cost (yuan); and _CPCS is the initial investment cost of the energy conversion device (yuan).

2) The annual equivalent life loss cost C _loss of the new energy station under unit power can be obtained according to the following formula:

In which, it is assumed that the number of battery charge and discharge cycles in the whole scheduling period is _NT times, and the battery life loss cost corresponding to each discharge cycle is C1 _,j , i represents a certain time period, the i-th time period and the (i+1)-th time period are adjacent, and N represents the total number of time periods.

3) The cost of _purchasing electricity for new energy stations and grid connection can be obtained according to the following formula:

Where i represents a certain time period; N represents the total number of time periods; if the length of each time period is set to 1 hour, N can represent the total number of hours in the entire scheduling cycle; E _buy,i is the amount of electricity purchased by the new energy station from the regional power grid through the grid connection point in the i-th time period, and c _price,i is the time-of-use electricity price of the regional power grid in the i-th time period, in kW·h/yuan.

4) When the wind power and photovoltaic power output in the new energy station cannot be fully absorbed by the energy storage power station and local dispatching instructions in the new energy station, the power will be transmitted to the regional power grid through the power connection line between the new energy station and the regional power grid. In order to promote the local consumption of renewable energy, the penalty cost of feeding electricity is defined as the penalty cost of feeding electricity to the new energy station. The penalty cost of feeding electricity to the new energy station C _togrid can be obtained according to the following formula:

c _{punish_togrid,i} ＝λ ₁ ·c _price,i ,i＝1,2,3,…,N

Wherein, E _togrid,i is the amount of electricity fed from the new energy station to the regional power grid in the i-th period; c _{punish_togrid,i} is the feed penalty time-of-use electricity price formulated with reference to the time-of-use electricity price c price _,i , in units of kW·h/yuan; λ ₁ is the penalty coefficient. In order to promote the local consumption of renewable energy, it is necessary to reduce the profit obtained by the new energy station when feeding electricity to the regional power grid, so λ ₁ is pre-set to ＜0.

5) The cost of abandoned solar and wind power, C _{re_loss ,} can be obtained according to the following formula:

E _{re_loss,i} = (P _WT,i +P _PV,i )·tE _togrid,i

c _{punish_reloss,i} =λ ₂ ·c _price,i ,i＝1,2,3,…,N

Wherein, E _{re_loss,i} is the total amount of wind and solar power abandoned in the i-th period; P _WT,i represents the wind power in period t; P _PV,i represents the photovoltaic power in period t; E _togrid,i is the amount of electricity fed into the regional power grid by the new energy station in the i-th period; c _{punish_reloss,i} is the penalty electricity price related to the time-of-use electricity price c _price,i , in kW·h/yuan; λ ₂ is the penalty coefficient for wind and solar power abandonment.

6) In order to improve the autonomy level of new energy stations, the penalty cost is included in the over-limit part of the exchange power to achieve the purpose of restricting the total annual exchange power. The penalty cost of over-limit total exchange power in the whole dispatching cycle of the new energy station can be obtained by the following formula:

Wherein, E _buy,i is the amount of electricity purchased by the new energy station from the regional power grid through the public connection point in the i-th period; E _togrid,i is the amount of electricity fed to the regional power grid by the new energy station in the i-th period; E _Dp,i is the amount of electricity consumed by the new energy station in the i-th period according to the dispatching instruction; c _{punish_exchange} is the penalty price for out-of-bounds electricity, in kW·h/yuan.

The following constraints need to be considered when seeking the optimal solution for the optimization objective.

1) Power balance constraints.

Where P _WT,t represents the wind power in the tth period; P _PV,t represents the photovoltaic power in the tth period; P _Dp,t is the dispatch instruction value; and Indicates the charging and discharging status of the new energy station in the t period, It means that the new energy station undergoes a discharge process in the tth period, and its discharge power is P _dis,t ; Indicates that the new energy station is in a non-discharging state. At this time, the new energy station may be charging or not charging or discharging. There are only two states: 1 and 0. It indicates that the new energy station is charging in the t period, and the corresponding charging power is P _ch,t ; P _grid,t indicates the power transmitted by the new energy station to the regional power grid in the t period.

2) Operational constraints of energy storage.

The SOC value S _OC (t) of the new energy station in period t is determined by S _OC (t-1), the charge and discharge amount of the new energy station from period t-1 to period t, and the self-discharge rate of the battery in 1 hour. When the new energy station is charged and discharged with the charging efficiency η _c and the discharging efficiency η _d respectively, the SOC in period t can be expressed as follows:

Among them, σ represents the self-discharge rate of the battery, η _c represents the charging efficiency of the energy storage in the new energy station, P _ch,t represents the charging power of the energy storage in the new energy station, Δt represents the unit time (a time period), Represents the rated capacity of the energy storage in the new energy station. The state of charge restrictions of the new energy station should be considered to avoid overcharging or over-discharging of the battery during period t. The constraints are as follows:

S _OCmin ≤S _OC (t) ≤S _OCmax

Among them, S _OCmax represents the upper limit of the state of charge of the energy storage power station in the new energy station, and S _OCmin is the lower limit of the state of charge.

Since the actual current of the new energy station cannot exceed the maximum value of its charging and discharging current, the charging power P _ch,t and discharging power P _dis,t of the energy storage station in the new energy station in the tth period are subject to the following constraints:

in, is the upper limit of charging power of the new energy station in the tth period; It is the upper limit of the discharge power of the new energy station in the tth period.

In one embodiment of the present application, the power grid operation data includes: current power, fluctuation amplitude and time-space fluctuation duration; correspondingly, step 200 includes:

Step 201: Determine the spatiotemporal fluctuation classification of the regional power grid according to the current power, fluctuation amplitude and spatiotemporal fluctuation duration.

Specifically, determine whether the fluctuation amplitude of the regional power grid is less than the preset ratio lower limit corresponding to the current power. If so, determine that the space-time fluctuation classification is a short space-time fluctuation classification. Otherwise, determine whether the fluctuation amplitude of the regional power grid is greater than the preset ratio upper limit corresponding to the current power. If so, determine that the space-time fluctuation classification is a long space-time fluctuation classification. Otherwise, determine that the space-time fluctuation classification is a medium space-time fluctuation classification.

In order to further improve the accuracy of determining the independent energy storage power station group, in one embodiment of the present application, step 300 includes:

Step 301: If the spatiotemporal fluctuation classification is short spatiotemporal fluctuation classification, an independent energy storage power station group consisting of all small independent energy storage power stations is determined as the independent energy storage power station group to be processed;

Specifically, due to the strong randomness, fast rate change and small amplitude of power disturbances at short-time and space scales, the small independent energy storage power stations of the near voltage level in the regional power grid can be scanned and classified to find small independent energy storage power stations that can be charged and discharged and are suitable for the current power fluctuations. On this basis, small independent energy storage power stations with fast response time and high precision are selected to smooth the power disturbances at short-time and space scales. The regional power grid extracts the disturbance amount and duration at short-time and space scales in real time, and the energy storage power station receives the dispatching control instruction and controls the energy storage power station to smooth the charging and discharging power according to the disturbance amount. For the medium and long-time and space scale power disturbances and duration at the peak shifting level, due to the large amplitude of the disturbance amount and the slow rate change, the optimal dispatching and smoothing should be comprehensively carried out according to the economic and operating performance of the regional power grid. According to the indicator limit issued by the regional power grid, combined with the operating status and disturbance of the regional power grid, the energy storage resources in the regional power grid are regulated in real time, and the power disturbance is absorbed through the principle of comprehensive optimization.

Step 302: If the spatiotemporal fluctuation classification is a medium spatiotemporal fluctuation classification, an independent energy storage power station group consisting of all medium-sized independent energy storage power stations is determined as the independent energy storage power station group to be processed;

Step 303: If the spatiotemporal fluctuation classification is a long spatiotemporal fluctuation classification, an independent energy storage power station group consisting of all large independent energy storage power stations is determined as the independent energy storage power station group to be processed.

Specifically, the cascade utilization of battery independent energy storage power stations is mainly used for the absorption and smoothing of long-term and spatial-temporal power disturbances, and it is achieved by replacing the power of (new battery) large-scale energy storage power stations. In order to ensure that large-scale energy storage power stations have sufficient capacity and power to smooth out sudden, large-fluctuation and other long-term and spatial-temporal disturbances, some large-scale energy storage power stations are reserved for backup due to their strong response capabilities. The cascade utilization of battery independent energy storage power stations uses a time replacement strategy and a control accuracy margin strategy to coordinate power replacement with (new battery) large-scale energy storage power stations.

From the above description, it can be seen that in order to meet the needs of different operating conditions of the regional power grid in different scenarios, this embodiment provides corresponding indicators according to the characteristics of the regional power grid for different time and space scales, a) short time and space scale power disturbance value and duration, which is a limiting indicator of the short time and space scale disturbance value of the regional power grid, and a boundary condition with a fast power response speed and a short response time in the control and regulation capability; b) medium time and space scale power climbing response rate, which is a power change rate limiting indicator in the control and regulation capability, and a boundary condition with a fast power response speed and a long response time in the control and regulation capability; c) long time and space scale power disturbance value, which is a boundary condition with a fast power response speed and a long response time (including the maximum peak and the maximum valley) of the regional power grid load on a long time and space scale. First, the regional power grid must be equipped with acquisition equipment with a higher sampling rate to collect and refresh the node power at high speed in real time. When the power fluctuation exceeds the assumed fluctuation rate of the current power, the system starts to prefabricate and screen the best energy storage power station for short-term and spatial fluctuation smoothing, and starts to allocate power to small independent energy storage power stations; when the power fluctuation exceeds the short-term and spatial fluctuation limit, the system starts to prefabricate and screen the best medium-sized energy storage power station to smooth the medium-term and spatial fluctuation; when the power fluctuation exceeds the medium-term and spatial fluctuation limit, the system starts to prefabricate and screen the best large-scale energy storage power station to smooth the long-term and spatial fluctuation.

In order to further improve the accuracy of classification of independent energy storage power stations, in one embodiment of the present application, before step 301, the following steps are further included:

Step 031: Obtain power capacity of multiple independent energy storage power stations;

Step 032: According to the power capacity of each independent energy storage power station, the independent energy storage power stations are divided into small independent energy storage power stations, medium independent energy storage power stations and large independent energy storage power stations.

Specifically, the independent energy storage power station can be classified according to its power capacity; in one example, the corresponding relationship between the power capacity of the new battery energy storage power station in the independent energy storage power station and the classification of the energy storage power station is shown in Table 2; at the same time, the corresponding capacity performance and power performance division are also given, and it will also be divided according to the grid connection point outlet voltage level of the energy storage power station to distinguish the major priority categories of control, etc. The capacity performance of the new battery energy storage power station only takes into account the situation of attenuation to 80%, and the attenuation below 80% is suitable for cascade utilization of battery energy storage conditions.

Table 2

The corresponding relationship between the power capacity of the cascade utilization energy storage power station and the classification of the energy storage power station in the independent energy storage power station is shown in Table 3; according to the rated capacity re-verified by the capacity of the cascade utilization battery (decayed to less than 80%), the power capacity of the energy storage power station is classified at a ratio of 100%, and the corresponding capacity performance and power performance are given. At the same time, it will also be divided according to the grid connection point export voltage level of the energy storage power station to distinguish the major priority categories of control. The cascade utilization energy storage power station takes into account the situation where the battery capacity decays to less than 80%, but the verified capacity is re-verified as 100% of the capacity after decay, and the cascade utilization battery energy storage power station is operated at the lower rated capacity. When it decays to less than 80% of the existing rated capacity again, it will not be considered to continue operating.

Table 3

In order to improve the accuracy of determining the target independent energy storage power station, referring to FIG. 4 , in one embodiment of the present application, the step 400 of applying the to-be-processed independent energy storage power station group to adjust the power of the regional power grid includes:

Step 421: Obtain the energy storage power station type, charge and discharge status, current charge state, discharge power, charge and discharge response time, and physical distance from the grid connection point of the regional power grid of each independent energy storage power station in the independent energy storage power station group;

Step 422: selecting a target independent energy storage power station from the group of independent energy storage power stations to be processed according to the charge and discharge status, current charge state, discharge power, charge and discharge response time of each independent energy storage power station and the physical distance from the grid connection point of the regional power grid;

Step 423: sort the target independent energy storage power stations according to the energy storage power station type and the current charge state, and call the target independent energy storage power stations in sequence to perform power balance control of the regional power grid until the regional power grid reaches power balance or all target independent energy storage power stations are called.

Specifically, the types of energy storage power stations include: new battery energy storage power stations and cascade utilization energy storage power stations; the physical distance between each independent energy storage power station in the energy storage power station group and the grid connection point of the regional power grid can be obtained, and the independent energy storage power stations whose physical distance is less than the physical distance threshold, the charge and discharge state is the discharge state, the current charge state belongs to the charge state threshold interval, the discharge power belongs to the discharge power threshold interval, and the charge and discharge response time belongs to the charge and discharge response time threshold interval are selected as the target independent energy storage power station. For example, the charge state threshold interval is 15% to 35%, the discharge power threshold interval is 80% to 85%, and the charge and discharge response time threshold interval is <0.5s.

Specifically, the small-scale independent energy storage power station and the medium-scale independent energy storage power station are both new battery energy storage power stations; the large-scale independent energy storage power station includes: a new battery energy storage power station and a cascade utilization energy storage power station; correspondingly, the target independent energy storage power station is selected from the to-be-processed independent energy storage power station group according to the charge and discharge status, current charge status, discharge power, charge and discharge response time and physical distance from the grid connection point of the regional power grid of each independent energy storage power station, including: dividing each independent energy storage power station into a new battery energy storage power station group and a cascade utilization energy storage power station group according to the type of the energy storage power station; when calling, first calling the new battery energy storage power station group and then calling the cascade utilization energy storage power station group; and sorting the two groups from large to small according to the charge status to obtain the sorting results of each target independent energy storage power station.

Assume that the current power is P(h), h = 1, 2, 3, 4, 5, T is the time interval of 1s; divide one second into five parts, each part is 200ms, calculate one power point every 200ms (ten cycles), calculate five power points in one second, take the average of the five power values in this one second, and perform power detection calculation. Real-time monitoring is carried out. When the preset value of the fluctuation value is reached, the capacity size, physical distance of the grid-connected voltage level, current charge and discharge power, response characteristics and accuracy of each energy storage power station are sorted according to the dynamic operation status of each energy storage power station, and the energy storage power station with the best overall response is given priority to timely respond to meet the power fluctuation smoothing, the new energy consumption capacity of the regional power grid and the safe operation of the regional power grid.

In one example, the corresponding relationship between the current state, charging and discharging state, state of charge, power availability and charging and discharging time of the new battery energy storage power station in the independent energy storage power station is shown in Table 4. In another example, the corresponding relationship between the current state, charging and discharging state, state of charge, power availability and charging and discharging time of the cascade utilization battery energy storage power station in the independent energy storage power station is shown in Table 5. Table 4 is the detailed characteristics of the state of the new battery energy storage power station, mainly the charging and discharging state, SOC state and numerical classification, power availability state and classification value of the energy storage power station, and the calculated charging and discharging time, etc. The operating SOC of the new battery energy storage power station only takes into account 15% to 90% of the operating conditions. Table 5 is the detailed characteristics of the cascade utilization energy storage battery energy storage power station, and the operating SOC of the cascade utilization energy storage battery energy storage power station only takes into account 35% to 75% of the operating conditions.

Table 4

Table 5

Table 6 shows the charge and discharge response characteristics of the new battery energy storage power station, mainly including the charge and discharge response time, charge to discharge conversion time, discharge to charge conversion time and power control accuracy of the energy storage power station. Table 7 shows the charge and discharge response characteristics of the cascade utilization battery energy storage power station.

Table 6

Table 7

It can be seen from the above description that the power grid power balance control method provided in this embodiment can improve the accuracy of determining the target independent energy storage power station; specifically, at a long time and space scale, when the new battery energy storage power station reaches full power and cannot perform power regulation, the power can be replaced by cascading energy storage power stations, which can ensure the regulation margin of the new battery and at least replace half of the power margin.

To further illustrate this solution, referring to FIG6 , this application provides an application example of a power grid power balance control method, which is specifically described as follows:

Collect regional power grid operation data in real time; calculate the spatiotemporal scale and disturbance amplitude, and distinguish the corresponding spatiotemporal fluctuations by looking up the table; judge the spatiotemporal situation of power fluctuations, and classify and judge short, medium and long spatiotemporal fluctuations; for short spatiotemporal fluctuations, give priority to looking up the table to allocate small independent energy storage power stations, for medium spatiotemporal fluctuations, give priority to looking up the table to allocate medium-sized independent energy storage power stations, and for long spatiotemporal fluctuations, give priority to looking up the table to allocate large independent energy storage power stations; for the current spatiotemporal fluctuations, screen the charging and discharging power and charging and discharging time of the allocated independent energy storage power stations to see if they meet the current volatility, and confirm the screening results; for the current spatiotemporal fluctuations, select the independent energy storage power stations that have been screened. Among the stations, those with good response characteristics and high power accuracy are selected for smoothing. When the current energy storage power station has insufficient smoothing power, a better energy storage power station with good response characteristics and high power accuracy is selected, and so on. The energy storage power stations involved in cascade utilization of batteries are mainly used for the absorption and smoothing of power disturbances on long-term and spatial scales. The independent energy storage power stations of cascade utilization batteries use time replacement strategies and control accuracy margin strategies to coordinate power replacement with large-scale energy storage power stations (new batteries). For the current fluctuation smoothing, when all independent energy storage power stations are insufficient for smoothing, it is necessary to conduct economic screening and classification of new energy sites equipped with energy storage for response smoothing.

From the software level, in order to improve the accuracy and efficiency of power grid power balance control, thereby ensuring the stable operation of the power grid, and reducing the cost of power grid power balance control, the present application provides an embodiment of a power grid power balance control device for implementing all or part of the contents of the power grid power balance control method. Referring to FIG. 7, the power grid power balance control device specifically includes the following contents:

Acquisition module 01, used to acquire power grid operation data of the regional power grid;

A determination module 02 is used to determine, according to the power grid operation data, a to-be-processed independent energy storage power station group from a plurality of independent energy storage power station groups corresponding to the regional power grid;

The power balance control module 03 is used to apply the independent energy storage power station group to be processed to adjust the power of the regional power grid, and determine whether the power of the regional power grid after adjustment exceeds the preset power fluctuation range. If so, the pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid are applied to perform power balance control on the regional power grid.

In one embodiment of the present application, the determining module includes:

A first determining unit, configured to determine a spatiotemporal fluctuation classification of the regional power grid according to the power grid operation data;

The second determination unit is used to determine the independent energy storage power station group to be processed from the multiple groups of independent energy storage power station groups corresponding to the regional power grid according to the spatiotemporal fluctuation classification.

In one embodiment of the present application, the power balance control module includes:

A selection unit, for determining, according to a pre-built economic optimization model for new energy stations, a target new energy station selected from the new energy station group when the sum of the energy storage cost and the sum of the operating cost in the entire dispatching cycle is the lowest;

A balancing control unit is used to apply the target new energy station to perform power balancing control on the regional power grid.

In one embodiment of the present application, the power grid operation data includes: current power, fluctuation amplitude and time-space fluctuation duration; correspondingly, the first determination unit includes:

The spatiotemporal fluctuation classification subunit is used to determine the spatiotemporal fluctuation classification of the regional power grid according to the current power, fluctuation amplitude and spatiotemporal fluctuation duration.

In one embodiment of the present application, the second determining unit includes:

A first determination subunit is used to determine the independent energy storage power station group composed of all small independent energy storage power stations as the independent energy storage power station group to be processed if the spatiotemporal fluctuation classification is short spatiotemporal fluctuation classification;

A second determination subunit is used to determine the independent energy storage power station group composed of all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed if the spatiotemporal fluctuation classification is a medium spatiotemporal fluctuation classification;

The third determination subunit is used to determine the independent energy storage power station group composed of all large independent energy storage power stations as the independent energy storage power station group to be processed if the spatiotemporal fluctuation classification is the long spatiotemporal fluctuation classification.

The embodiments of the power grid power balance control device provided in this specification can be specifically used to execute the processing flow of the embodiments of the above-mentioned power grid power balance control method. Its functions will not be repeated here, and reference can be made to the detailed description of the embodiments of the above-mentioned power grid power balance control method.

To further illustrate the present solution, the present application provides an embodiment of an energy storage power station cluster. In the present embodiment, the energy storage power station cluster includes: the new energy station group and the independent energy storage power station group; the new energy station group includes: a plurality of new energy stations, and the independent energy storage power station group includes: a plurality of independent energy storage power stations; each independent energy storage power station and the new energy station are connected via a node transformer.

Specifically, referring to FIG8 , the regional power grid may include the energy storage power station cluster. The independent energy storage power stations and new energy stations equipped with energy storage in the energy storage power station cluster may be connected to the grid at different voltage levels (e.g., 500 kV, 220 kV, 110 kV, 35 kV). Different voltage levels have independent energy storage power stations and new energy stations equipped with energy storage. The scale of the regional power grid is similar to that of the municipal power grid. 35 kV means that the grid connection point voltage of the energy storage power station is 35 kV. Then it is boosted to a 220kV collection station, and then to a 500kV collection station, and the load is sent from the regional power grid; 110kV means that the grid-connected voltage of the energy storage power station is 110kV, and then it is boosted to a 220kV collection station, and then to a 500kV collection station, and the load is sent from the regional power grid; 220kV means that the grid-connected voltage of the energy storage power station is 220kV, and then it is boosted to a 500kV collection station, and the load is sent from the regional power grid. The direction of the arrows in Figure 8 represents the power flow.

Among them, the new energy station has the advantages of high charging and discharging efficiency and fast response speed, and can effectively realize the dynamic migration of power and energy in the time domain; the node transformer of the regional power grid is an important grid connection point for access to the main power grid; the energy storage power station and the new energy station equipped with energy storage in the regional power grid can be used to smooth the multi-time and space scale disturbances of the node transformer power according to the needs of the main power grid, making the regional power grid an autonomous, adjustable and controllable intelligent region; the regional power grid and each power station can realize the hierarchical and regional autonomous coordinated control and the multi-level reasonable sharing and orderly smoothing of power disturbances. Ensure the safe and stable operation of the power grid in the new power system.

It can be seen from the above description that the power grid power balance control method, device and energy storage power station cluster provided by the present application can improve the accuracy and efficiency of power grid power balance control, thereby ensuring the stable operation of the power grid, and at the same time reducing the cost of power grid power balance control; specifically, while ensuring the safe and stable operation of the regional power grid, it can make full use of the performance characteristics of various types of energy storage (including new battery energy storage power stations and cascaded battery energy storage power stations) to balance and smooth the power fluctuations of the regional power grid. It can comprehensively integrate the performance characteristics and optimal economic costs of independent energy storage power stations and new energy stations equipped with (including new batteries and cascaded batteries) energy storage, and determine a reasonable operation plan and characteristic indicators of energy storage power stations in the region based on global optimization. The energy storage power station receives the indicator parameters given by the regional power grid, and taps into controllable and adjustable resources such as energy storage in the region. While ensuring the economic and safe power supply of the regional power grid itself, it can adjust the power of the energy storage power station in real time to meet the indicator limit and different scenarios. It has a wide range of application scenarios and can provide active support for the actual production of the regional power grid.

From the hardware level, in order to improve the accuracy and efficiency of power grid power balance control, thereby ensuring the stable operation of the power grid, and reducing the cost of power grid power balance control, the present application provides an embodiment of an electronic device for implementing all or part of the content of the power grid power balance control method. The electronic device specifically includes the following content:

Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the power grid power balance control device and related devices such as user terminals; the electronic device can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the electronic device can be implemented with reference to the embodiment for realizing the power grid power balance control method and the embodiment for realizing the power grid power balance control device, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

FIG9 is a schematic block diagram of a system structure of an electronic device 9600 according to an embodiment of the present application. As shown in FIG9 , the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that FIG9 is exemplary; other types of structures may also be used to supplement or replace the structure to implement telecommunication functions or other functions.

In one or more embodiments of the present application, the power grid power balance control function may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:

Step 100: Obtain grid operation data of a regional power grid.

Step 200: According to the power grid operation data, determine the independent energy storage power station group to be processed from the multiple independent energy storage power station groups corresponding to the regional power grid.

Step 300: Apply the independent energy storage power station group to be processed to adjust the power of the regional power grid, and determine whether the power of the regional power grid after adjustment exceeds a preset power fluctuation range. If so, apply a pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid.

From the above description, it can be seen that the electronic device provided by the embodiments of the present application can improve the accuracy and efficiency of power balance control of the power grid, thereby ensuring the stable operation of the power grid, while reducing the cost of power balance control of the power grid.

In another embodiment, the grid power balance control device can be configured separately from the central processor 9100. For example, the grid power balance control device can be configured as a chip connected to the central processor 9100, and the grid power balance control function is realized through the control of the central processor.

As shown in FIG9 , the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily include all the components shown in FIG9 ; in addition, the electronic device 9600 may also include components not shown in FIG9 , and reference may be made to the prior art.

As shown in FIG. 9 , the central processor 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and/or logic device. The central processor 9100 receives input and controls the operation of various components of the electronic device 9600 .

The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing.

The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and/or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

The communication module 9110 is a transmitter/receiver 9110 that sends and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and/or a wireless LAN module, etc. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

It can be seen from the above description that the electronic device provided by the embodiments of the present application can improve the accuracy and efficiency of power balance control of the power grid, thereby ensuring the stable operation of the power grid, while reducing the cost of power balance control of the power grid.

The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps in the power grid power balance control method in the above embodiments. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, all the steps in the power grid power balance control method in the above embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

Step 100: Obtaining grid operation data of a regional power grid;

Step 200: Determine, according to the power grid operation data, a to-be-processed independent energy storage power station group from a plurality of independent energy storage power station groups corresponding to the regional power grid;

Step 300: Apply the independent energy storage power station group to be processed to adjust the power of the regional power grid, and determine whether the power of the regional power grid after adjustment exceeds a preset power fluctuation range. If so, apply a pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid.

From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application can improve the accuracy and efficiency of power balance control of the power grid, thereby ensuring the stable operation of the power grid, while reducing the cost of power balance control of the power grid.

In this application, each embodiment of the above method is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. For relevant parts, refer to the partial description of the method embodiment.

Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

The present application is described with reference to the flowchart and/or block diagram of the method, device (system) and computer program product according to the embodiment of the present application. It should be understood that each process and/or box in the flowchart and/or block diagram, and the combination of the process and/or box in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

Specific embodiments are used in this application to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core idea of this application. At the same time, for those skilled in the art, according to the idea of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on this application.

Claims (12)

1. A power grid power balance control method, comprising:

acquiring power grid operation data of a regional power grid;

determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;

adjusting the power of the regional power grid by using the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, if so, performing power balance control on the regional power grid by using a new energy station economic optimization model built in advance and a new energy station group corresponding to the regional power grid; and determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data, wherein the method comprises the following steps of:

according to the power grid operation data, determining the space-time fluctuation classification of the regional power grid;

according to the time-space fluctuation classification, determining an independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid;

the step of determining the independent energy storage power station group to be processed from a plurality of independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification comprises the following steps:

If the space-time fluctuation classification is short-time space fluctuation classification, determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed;

if the space-time fluctuation is classified into medium space-time fluctuation classification, determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed;

and if the space-time fluctuation classification is long space-time fluctuation classification, determining an independent energy storage power station group formed by all large independent energy storage power stations as the independent energy storage power station group to be processed.

2. The power grid power balance control method according to claim 1, wherein the applying the pre-constructed new energy station economic optimization model and the new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid includes:

determining a target new energy station selected from the new energy station group when the sum of energy storage cost and running cost in a full scheduling period is lowest according to a pre-constructed new energy station economic optimization model;

and carrying out power balance control on the regional power grid by using the target new energy station.

3. The power grid power balance control method of claim 1, wherein the step of constructing the new energy station economic optimization model comprises:

constructing an economic optimization model of the new energy station according to the running cost and the energy storage cost of life loss of the new energy station;

the optimizing target of the new energy station economic optimizing model is that the sum of energy storage cost and running cost in the whole dispatching period is the lowest; constraint conditions of the new energy station economic optimization model comprise: a power balance constraint, an energy storage state of charge constraint condition and a charge-discharge power constraint condition.

4. The power grid power balance control method of claim 1, wherein the power grid operation data comprises: current power, fluctuation amplitude degree and time-space fluctuation duration;

correspondingly, the determining the space-time fluctuation classification of the regional power grid according to the power grid operation data comprises the following steps:

and determining the time-space fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the time-space fluctuation duration.

5. The power grid power balance control method of claim 1, further comprising:

Acquiring the power capacity of a plurality of independent energy storage power stations;

and dividing the independent energy storage power stations into small-sized independent energy storage power stations, medium-sized independent energy storage power stations and large-sized independent energy storage power stations according to the power capacity of each independent energy storage power station.

6. The power grid power balance control method according to claim 1, wherein said applying the set of independent energy storage power stations to be processed to adjust the power of the regional power grid comprises:

acquiring respective energy storage power station types, charge and discharge states, current charge states, discharge power, charge and discharge response time and physical distances between the respective energy storage power stations in the independent energy storage power station group and grid connection points of the regional power grid;

selecting a target independent energy storage power station from the independent energy storage power station group to be processed according to the respective charge and discharge state, the current charge state, the discharge power, the charge and discharge response time and the physical distance between the target independent energy storage power station and the grid connection point of the regional power grid;

and sequencing the target independent energy storage power stations according to the types and the current charge states of the energy storage power stations, and sequentially calling the target independent energy storage power stations to perform power balance control on the regional power grid until the regional power grid reaches power balance or each target independent energy storage power station is called.

7. A power grid power balance control device, comprising:

the acquisition module is used for acquiring power grid operation data of the regional power grid;

the determining module is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the power grid operation data;

the power balance control module is used for adjusting the power of the regional power grid by applying the independent energy storage power station group to be processed, judging whether the adjusted power of the regional power grid exceeds a preset power fluctuation range, if so, applying a pre-built new energy station economic optimization model and a new energy station group corresponding to the regional power grid to perform power balance control on the regional power grid;

the determining module includes:

the first determining unit is used for determining the space-time fluctuation classification of the regional power grid according to the power grid operation data;

the second determining unit is used for determining independent energy storage power station groups to be processed from multiple independent energy storage power station groups corresponding to the regional power grid according to the space-time fluctuation classification;

the second determination unit includes:

the first determining subunit is used for determining an independent energy storage power station group formed by all small independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is a short-time space fluctuation classification;

The second determining subunit is used for determining an independent energy storage power station group formed by all medium-sized independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation is classified into medium-sized space-time fluctuation classification;

and the third determination subunit is used for determining the independent energy storage power station group formed by all the large independent energy storage power stations as the independent energy storage power station group to be processed if the space-time fluctuation classification is long space-time fluctuation classification.

8. The power grid power balance control device of claim 7, wherein the power balance control module comprises:

the selection unit is used for determining a target new energy station selected from the new energy station group when the sum of energy storage cost and operation cost in a full scheduling period is the lowest according to a pre-constructed new energy station economic optimization model;

and the balance control unit is used for carrying out power balance control on the regional power grid by applying the target new energy station.

9. The power grid power balance control device of claim 7, wherein the power grid operational data comprises: current power, fluctuation amplitude degree and time-space fluctuation duration;

correspondingly, the first determining unit includes:

And the space-time fluctuation classification subunit is used for determining the space-time fluctuation classification of the regional power grid according to the current power, the fluctuation amplitude degree and the space-time fluctuation duration.

10. An energy storage power station cluster, comprising: a new energy field station group and an independent energy storage power station group according to any one of claims 1 to 6;

the new energy station group includes: a plurality of new energy stations, the independent energy storage power station group comprising: a plurality of independent energy storage power stations;

each independent energy storage power station and the new energy field station are connected through a node transformer.

11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the grid power balance control method according to any one of claims 1 to 6 when executing the program.

12. A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the grid power balance control method of any of claims 1 to 6.