CN117154772A - Today's energy storage control method and device, terminal equipment, readable storage medium - Google Patents

Abstract

The invention provides a day-ahead energy storage control method and device, terminal equipment, and readable storage medium. The day-ahead energy storage control method includes: obtaining various rated parameters of the target energy storage system based on electrochemical energy storage characteristics, and based on each The class-rated parameters determine the first constraint corresponding to the target energy storage system; solve the objective function of the preset SCUC model based on the first constraint; use the first constraint and the preset economic parameter calculation formula as the second constraint , the objective function of the preset SCED model is solved based on the output results of the SCUC model and the second constraint; the target energy storage system is regulated based on the output results of the SCUC model and the output results of the SCED model. The present invention realizes day-ahead energy storage regulation of the energy storage system through the combination of the SCUC model and the SCED model and the creative design of the constraints of the two models.

Description

Energy storage control method and device, terminal equipment, and readable storage medium

Technical Field

The present invention belongs to the technical field of energy storage regulation and control, and more specifically, relates to a day-ahead energy storage regulation method and device, terminal equipment, and a readable storage medium.

Background Art

In recent years, my country has incorporated the development and utilization of renewable energy into the country's energy development strategy. Due to the randomness and volatility of wind power and photovoltaic power, as well as the limited peak and frequency regulation capabilities of the power system itself, the installation and application of large-scale wind power and photovoltaic power have brought great pressure to the peak and frequency regulation of the power grid. Energy storage, due to its fast response speed, strong flexibility, high efficiency, and bidirectional power regulation, can effectively provide auxiliary services such as frequency regulation and peak regulation, thereby solving the peak and frequency regulation problems, alleviating the pressure on thermal power units in the power system, and improving the ability to absorb new energy.

Therefore, with the reduction of energy storage costs and the advancement of energy storage technology in recent years, the application scale of various types of energy storage has also become larger and larger. At present, a major research direction of energy storage participating in peak-shaving auxiliary services is the configuration of energy storage capacity and the optimization of resource scheduling. How to optimize the configuration of day-ahead energy storage resources participating in peak-shaving transactions has become an urgent problem that technicians in this field need to solve.

Summary of the invention

The purpose of the present invention is to provide a day-ahead energy storage control method and apparatus, terminal equipment, and readable storage medium to optimize the configuration of day-ahead energy storage resources participating in peak load trading.

A first aspect of an embodiment of the present invention provides a day-ahead energy storage control method, comprising:

Acquire various rated parameters of the target energy storage system based on the electrochemical energy storage characteristics, and determine a first constraint condition corresponding to the target energy storage system according to the various rated parameters;

The objective function of the preset SCUC model is solved based on the first constraint condition to obtain the output result of the SCUC model; the first constraint condition and the preset economic parameter calculation formula are used as the second constraint condition, and the objective function of the preset SCED model is solved based on the output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model;

The target energy storage system is regulated based on the output result of the SCUC model and the output result of the SCED model.

A second aspect of an embodiment of the present invention provides a day-ahead energy storage control device, comprising:

A data acquisition module, used to acquire various rated parameters of a target energy storage system based on electrochemical energy storage characteristics, and determine a first constraint condition corresponding to the target energy storage system according to the various rated parameters;

A model solving module, used to solve the objective function of a preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model; using the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving the objective function of a preset SCED model based on the output result of the SCUC model and the second constraint condition to obtain an output result of the SCED model;

The energy storage control module is used to control the target energy storage system based on the output results of the SCUC model and the output results of the SCED model.

According to a third aspect of an embodiment of the present invention, a terminal device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned day-ahead energy storage control method when executing the computer program.

According to a fourth aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned day-ahead energy storage control method are implemented.

The beneficial effects of the day-ahead energy storage control method and device, terminal device, and readable storage medium provided by the embodiments of the present invention are:

The embodiment of the present invention first obtains various rated parameters of the target energy storage system based on the electrochemical energy storage system of the energy storage system, and on this basis calculates and obtains the constraints of the SCUC model, and the optimization of the unit combination of the energy storage system can be achieved based on the SCUC model. On this basis, the embodiment of the present invention also determines the constraints of the SCED model according to the constraints of the SCUC model and the preset economic parameter calculation formula, and the optimization of the economic dispatch of the energy storage system can be achieved based on the SCED model. That is, the day-ahead energy storage regulation of the target energy storage system can be achieved based on the output results of the SCUC model and the SCED model. That is, the embodiment of the present invention realizes day-ahead energy storage regulation through the combination of the SCUC model and the SCED model, and the creative design of the constraints of the two models, thereby solving the problems of the prior art.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a schematic flow chart of a method for regulating and controlling a day-ahead energy storage system according to an embodiment of the present invention;

FIG2 is a topological structure diagram of an IEEE39 node power system provided by an embodiment of the present invention;

FIG3 is a diagram of the winning bids for each unit in the frequency regulation market of an energy storage system provided by an embodiment of the present invention;

FIG4 is a diagram of the electricity market winning bids for each unit of the energy storage system provided by an embodiment of the present invention;

FIG5 is a profit diagram of an energy storage unit provided by an embodiment of the present invention;

FIG6 is a conventional unit profit diagram provided by an embodiment of the present invention;

FIG7 is a structural block diagram of a day-ahead energy storage control device provided by an embodiment of the present invention;

FIG8 is a schematic block diagram of a terminal device provided in an embodiment of the present invention.

DETAILED DESCRIPTION

In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

Please refer to FIG. 1 , which is a schematic flow chart of a method for regulating energy storage according to an embodiment of the present invention. The method for regulating energy storage according to the present invention includes:

S101: Acquire various rated parameters of a target energy storage system based on electrochemical energy storage characteristics, and determine a first constraint condition corresponding to the target energy storage system according to the various rated parameters.

In this embodiment, the relevant rated parameters of the energy storage power station to be analyzed (that is, the target energy storage system described in the embodiment of the present invention) can be obtained based on the electrochemical energy storage characteristics. The embodiment of the present invention mainly takes an independent electrochemical energy storage power station as the analysis object, and the electrochemical energy storage characteristics based on it refer to the energy storage characteristics of various energy storage batteries that use chemical elements as the medium, and the charging and discharging are accompanied by chemical reactions or changes in the energy storage medium. It should be understood that the various rated parameters described in the embodiment of the present invention include not only the various parameters of the energy storage power station, but also the rated parameters of the conventional units connected to the target energy storage system.

In this embodiment, obtaining various rated parameters of the target energy storage system may include:

Get the capacity rating of each energy storage unit in the energy storage system. Where i represents the node and k represents the energy storage unit. That is, it represents the rated storage capacity of the kth energy storage unit at the i-th node.

The energy storage system SOC upper limit S _max and SOC lower limit S _min and the rated state of charge S _n of the energy storage system at the end of the time period are obtained.

Get the maximum charge and discharge power of the energy storage unit of the energy storage system and charging efficiency Discharge efficiency

Get the maximum power output of each conventional unit and minimum power output

Get the ramp rate of each conventional unit during operation

The minimum start-stop duration T _c of each conventional unit is obtained.

Obtain the single startup cost of each conventional unit and single shutdown cost

Get the power flow transmission limit between nodes when the system is running

The above-mentioned rated parameters can be used to determine the control capacity range of the energy storage system participating in peak load regulation and frequency regulation. Among them, the aforementioned control capacity range includes but is not limited to: the control range of energy storage units, the control range of conventional units, the control range of power loads, and the control range of branch power. Among them, the control range of energy storage units mainly includes: the charging and discharging power range of energy storage units, the energy storage capacity range, and the capacity range of energy storage units participating in frequency regulation. The control range of conventional units mainly includes: the real-time output power range of conventional units, the power generation start and stop time range of conventional units, and the capacity range of conventional units participating in frequency regulation. The aforementioned various control ranges are also the various constraints for the energy storage system to participate in peak load regulation and frequency regulation, that is, the first constraint.

S102: Solving the objective function of the preset SCUC model based on the first constraint condition to obtain the output result of the SCUC model. Using the first constraint condition and the preset economic parameter calculation formula as the second constraint condition, solving the objective function of the preset SCED model based on the output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model.

In this embodiment, the cost calculation formula of each unit when the target energy storage system is running can be determined in advance. On this basis, according to the cost calculation formulas of the target energy storage system, a safety constraint unit combination model (i.e., SCUC model) with minimum cost as the objective function is established. On this basis, the SCUC model is solved by combining the aforementioned first constraint condition with the mathematical optimization technology CPLEX and YALMIP optimization solver to compile the unit output plan, energy storage charging and discharging plan, and each unit start-up and shutdown plan according to the output results of the SCUC model. Among them, the use of the CPLEX function and the YALMIP function, which are the solving tools of the SCUC model, can be realized through the MATLAB toolkit.

Among them, when solving the problem specifically, the input parameters of the SCUC model include: input parameters of conventional units, input parameters of energy storage units, and grid network parameters of the grid where the target energy storage system is located.

The input parameters of conventional units mainly include: the number of conventional units and their nodes, the maximum and minimum input and output power of conventional units, the up and down ramp rates and start and stop ramp rates of conventional units, the startup cost, shutdown cost and minimum start and shutdown duration of conventional units, the frequency regulation performance of conventional units, the proportion of frequency regulation capacity and the frequency regulation mileage-capacity ratio, the power generation quotation, frequency regulation capacity quotation and frequency regulation mileage quotation of conventional units.

The input parameters of the energy storage unit mainly include: the number of energy storage units and their nodes, the charging and discharging power of the energy storage unit, the maximum and minimum capacity of the energy storage unit and the capacity at the initial and end times of the day, the charge state of the energy storage unit, the frequency regulation performance of the energy storage unit, the proportion of frequency regulation capacity and the frequency regulation mileage-capacity ratio, the charging and discharging quotation of the energy storage unit, the frequency regulation mileage quotation and the frequency regulation capacity quotation.

The input parameters of the power grid network mainly include: the number of network nodes, the number of network lines, the power transfer distribution factor of the network lines and the correlation matrix between nodes.

On this basis, the above input parameters are input into the SCUC model to solve the SCUC model and obtain the output results of the SCUC model.

In this embodiment, a safety-constrained economic dispatch model (i.e., a SCED model) can be established according to the operating rules of the power auxiliary service market in the target area (i.e., the area where the target energy storage system is located), and the node electricity price, frequency regulation clearing price, etc. can be determined according to the SCED model, so as to calculate the maximum benefit of the target energy storage system participating in the auxiliary service market transaction, and compile the target energy storage system to participate in the auxiliary service market transaction plan. Specifically, this embodiment can obtain the unit output plan and energy storage charging and discharging plan when the target energy storage system has the lowest operating cost according to the results output by the SCUC model. On this basis, this embodiment can also determine the solution method for parameters such as the node electricity price and clearing price of the SCED model. On this basis, the SCED model can be established with the minimum cost of the target energy storage system as the objective function according to the configuration of each energy storage resource when the target energy storage system has the lowest operating cost, combined with the operating rules of the power auxiliary service market in the target area. On this basis, the output result of the SCUC model is used as the input parameter of the SCED, and the SCED model is solved by the dual() function to obtain the node electricity price and clearing price of the energy storage system participating in the peak and frequency regulation transaction. Based on the output results of the SCED model, the benefits that the target energy storage system can obtain from participating in peak-shaving and frequency-regulation transactions can be calculated, and a trading plan for the target energy storage system to participate in the ancillary service market can be compiled.

Among them, the operating rules of the power ancillary service market in the target area include but are not limited to: tiered submission of peak-shaving and frequency-regulation quotations according to the declared capacity, preparation of power generation plans, market transaction clearing, fee settlement, transaction compensation and other rules.

S103: Regulating the target energy storage system based on the output results of the SCUC model and the output results of the SCED model.

In this embodiment, the output results of the SCUC model are: the output state variables of each conventional unit, the output power of each conventional unit, the capacity of conventional units participating in frequency regulation service, the real-time load and power of the network line, the charge and discharge state variables and charge and discharge power of the energy storage unit, the real-time capacity of energy storage, and the capacity of energy storage participating in frequency regulation. On this basis, the unit output plan, energy storage charge and discharge plan, and the start and stop plan of each unit can be compiled according to the output results of the SCUC model.

Among them, the output results of the SCUC model are also the input parameters of the SCED model.

On this basis, the output results of the SCED model are: the winning bids of each conventional unit in the electric energy market and the frequency regulation market, the winning bids of each energy storage unit in the electric energy market and the frequency regulation market, the balancing node electricity price, and the frequency regulation capacity and frequency regulation mileage clearing price.

In this embodiment, after the output results of the SCUC model and the SCED model are determined, various plans can be compiled according to the output results of the two models to regulate the target energy storage system.

In a possible implementation, the various rated parameters include the energy storage capacity and charge/discharge power of each node energy storage unit in the target energy storage system, the SOC upper limit and SOC lower limit of the target energy storage system, the rated state of charge of the target energy storage system at the end time (that is, the energy storage SOC rated value), the maximum charge/discharge power of the energy storage unit, the rated parameters of the conventional unit (for example, the maximum power generation output and the minimum power generation output of the conventional unit, and the ramp rate of the conventional unit), the minimum duration of start/stop of the conventional unit, and the single startup cost and single shutdown cost of the conventional unit in the target energy storage system.

The first constraint conditions include energy storage capacity constraint, energy storage SOC constraint, charge and discharge power constraint, output constraint of conventional unit operation, power balance constraint, start-up time constraint and shutdown time constraint of conventional units, and start-up and shutdown cost constraint of conventional units.

The first constraint condition corresponding to the target energy storage system is determined according to various rated parameters, including:

According to the energy storage capacity of each energy storage unit in the target energy storage system, the rated total energy storage capacity of the energy storage system is calculated, and the energy storage capacity constraint of the energy storage system participating in peak load and frequency regulation trading is obtained.

Among them, the energy storage capacity constraint is:

in, is the energy storage at time t, and _EB is the rated total energy storage.

Among them, through Calculate E _B , is the rated storage capacity of the kth energy storage unit at the ith node, and I and K indicate that the target energy storage system contains I nodes and each node contains K energy storage units.

Among them, through calculate is the energy storage capacity of the kth energy storage unit at the i-th node at time t-1, is the charging power of the kth energy storage unit at the i-th node at time t, For charging efficiency, is the discharge power of the kth energy storage unit at the i-th node at time t, is the discharge efficiency, and Δt is the time difference between time t-1 and time t.

The energy storage SOC constraint is determined according to the energy storage SOC rating of the target energy storage system.

Among them, the energy storage SOC constraint is:

_{Smin≤St≤Smax and ​}

Wherein, S _max and S _min are the upper and lower limits of the SOC of the target energy storage system, respectively, _St is the energy storage SOC value at time t, T is any time period of the target energy storage system, and _Sn is the rated state of charge. It indicates that the energy storage SOC value at the end time T should reach the specified value _Sn , so that the target energy storage system can start and operate normally the next day.

Among them, through Calculate S _t . _{S i,k,t-1} is the energy storage SOC value of the kth energy storage unit at the i-th node at time t-1.

In summary, the real-time energy storage capacity of the target energy storage system should meet the following requirements:

According to the maximum charge and discharge power of the energy storage unit of the target energy storage system, the system power of the energy storage unit is calculated to obtain the charge and discharge power constraint of the energy storage system.

The charge and discharge power constraints may specifically be:

Among them, P _t ^B is the total output power of the energy storage unit in the target energy storage system at time t, is the maximum charging and discharging power of the target energy storage system.

in, It means that the total charging and discharging output power of each node unit of the target energy storage system should be within the rated maximum charging and discharging range of the target energy storage system. and It indicates that the charging and discharging of the target energy storage system should satisfy the charging and discharging state variable constraints. It indicates that the constraints of the system's frequency regulation capacity should be considered when charging and discharging the target energy storage system. Indicates that the target energy storage system cannot be charged and discharged at the same time.

Among them, through Calculate P _t ^B , is the system power of the kth energy storage unit at the i-th node at time t, through calculate

in, They represent the charging and discharging state variables of the target energy storage system respectively, and their values are 0 or 1. It is the energy storage capacity of the energy storage unit of the target energy storage system participating in frequency regulation at time t.

According to the rated parameters of the conventional units of the target energy storage system, the maximum power generation output and the minimum power generation output of the conventional units at each node of the target energy storage system are calculated to obtain the output constraints of the conventional units.

Among them, the output constraint of conventional unit operation is:

in, It is the output constraint for each node unit of conventional units.

P _t ^G-min ≤P _t ^G ≤P _t ^G-max is the total bid output constraint of conventional units.

It indicates that the real-time output of conventional units should take into account the constraints of the conventional units' participation in frequency regulation capacity.

It means that the output of conventional units is constrained by the unit ramp rate and start-stop ramp rate.

in, ^is the output power reported by the kth conventional unit at the i-th node participating in the peak load and frequency regulation transaction at time t, _PtG is the total winning output of the conventional units at each node in the target energy storage system, and Calculate _PtG ^, is the winning bid output of the kth conventional unit at the i-th node at time t. is the start/stop state variable of the kth conventional unit at the i-th node at time t, and its value is 0 or 1. _{P t} ^G-min and P _t ^G-max are the maximum and minimum power outputs of the conventional units at each node of the target energy storage system at time t. Calculate P _t ^G-max by Calculate P _t ^G-min , are the maximum power output and minimum power output of the kth conventional unit at the ith node respectively. It is the capacity of conventional units of the target energy storage system participating in frequency regulation at time t. is the ramp rate of the kth conventional unit at the ith node when it is in operation. is the start/stop state variable of the kth conventional unit at the ith node at time t-1, and its value is 0 or 1. is the ramp rate when the kth conventional unit at the i-th node is started or stopped. It is the start/stop state variable of the kth conventional unit of the i-th node at time t+1, and its value is 0 or 1. It is the winning bid output of the kth conventional unit at the i-th node at time t-1.

Among them, through calculate

According to the real-time load of each unit of the target energy storage system, the power balance constraint of the target energy storage system is determined.

Among them, the power balance constraint of the target energy storage system is:

∑P _t ^B +∑P _t ^G =∑P _t ^L

Among them, ∑P _t ^L is the total load of the target energy storage system at time t, ∑P _t ^B is the total load of the energy storage units in the target energy storage system at time t, and ∑P _t ^G is the total load of the conventional units in the target energy storage system at time t.

The start-up time constraint and shutdown time constraint of the conventional units in the target energy storage system are calculated according to the minimum start-up and shutdown duration of the conventional units in the target energy storage system.

Among them, the startup time constraint of conventional units is:

in, is the startup variable of the conventional unit in the target energy storage system during period T.

The downtime constraint of conventional units is:

in, It is the shutdown variable of the conventional unit in the target energy storage system during period T.

T is calculated by T=t:min{96,t+T _c -1}, where T _c is the minimum duration of start and stop.

The startup and shutdown cost constraints of conventional units in the target energy storage system are calculated based on the single startup cost and single shutdown cost of conventional units.

Among them, the startup cost constraint of conventional units is:

in, are the single startup cost and single shutdown cost of the conventional unit in the target energy storage system, are the current startup cost and current shutdown cost of conventional units in the target energy storage system, respectively. are the initial startup cost and shutdown cost of conventional units in the target energy storage system, respectively. are the start and stop state variables of the conventional units in the target energy storage system at t=0 and t=1 respectively.

In a possible implementation, the various rated parameters also include: the power transmission limit between nodes when the target energy storage system is running. The first constraint condition also includes: the constraints on the frequency regulation of each unit in the target energy storage system, the line power constraints between nodes, the operation cost calculation formula of conventional units, the start-stop cost calculation formula of conventional units, the charging and discharging cost calculation formula of energy storage units, the frequency regulation cost calculation formula of conventional units, and the frequency regulation cost calculation formula of energy storage units.

Among them, the constraints on each unit participating in frequency regulation include:

Constraints on energy storage units participating in frequency regulation:

Constraints on conventional units participating in frequency regulation:

The constraint of the total frequency regulation capacity of the target energy storage system is:

The constraints of the total frequency regulation mileage of the target energy storage system are:

in, They represent the frequency regulation mileage of conventional units and energy storage units at time t respectively;

Among them, the line flow constraint between each node is:

in, is the power flow transmission limit, _Pab,t represents _{the line power flow between node a and node b at time t; Pab,t is calculated by Pab,t =γ(AG·PtG+AB·PtB-PtL} ⁾ _{, γ} ^is _the ^power _transfer ^{distribution factor} , ^AG and ^AB are the association matrix between the conventional unit and the node, and the association matrix between the energy storage unit and the node, respectively;

Among them, the operating cost calculation formula of conventional units is:

Among them, C ^GO is the operating cost of the conventional unit, and λ _G is the power generation cost of the conventional unit.

The calculation formula for the start-up and shutdown cost of conventional units is:

Among them, ^CG-UD is the start-up and shutdown cost of conventional units.

The calculation formula for the charging and discharging cost of the energy storage unit is:

Among them, ^CB is the charging and discharging cost of the energy storage unit, _λBc and _λBd are the charging price and discharging price of the energy storage unit respectively.

The frequency regulation cost calculation formula of conventional units is:

Among them, ^CGF is the frequency regulation cost calculation formula of conventional units, They are the frequency regulation capacity clearing price and frequency regulation mileage clearing price of conventional units, The number of successful bids in the conventional unit frequency regulation market.

The frequency regulation cost calculation formula of the energy storage unit is:

Among them, ^CBF is the frequency regulation cost of the energy storage unit, are the clearing price of frequency regulation capacity and frequency regulation mileage of energy storage units, respectively. The number of bids won in the frequency regulation market for energy storage units.

In a possible implementation, the preset economic parameter calculation formulas include: a node electricity price calculation formula, a power transfer distribution factor calculation formula, and a clearing price calculation formula.

The calculation formula of node electricity price is:

Among them, λ _i is the node electricity price, is the balanced node electricity price, P _m-1 is the upstream node power of the i-node m branch, P _m+1 is the downstream node power of the i-node m branch, and γ is the power transfer distribution factor. The solution method for the balanced node electricity price is: access the dual variable corresponding to the power balance constraint through the dual() function, obtain the value of the dual variable of the power balance constraint at time t, and then divide the dual variable by the power reference value to obtain the balanced node electricity price. The solution method for the upstream and downstream node power is: access the dual variable corresponding to the line flow constraint through the dual() function, obtain the value of the dual variable of the line flow constraint at time t, divide the dual variable by the power reference value, and obtain the upstream and downstream node power.

The power transfer distribution factor is calculated as:

γ _i,j = (Bf _i,m -Bf _j,m )/Bbus _i,j

Wherein, γ _i,j is the power transfer distribution factor of the m branch at nodes i and j, and Bbus _i,j is the susceptance value between nodes i and j.

In this embodiment, the preset economic parameter calculation formula may also include a clearing price calculation formula, which is:

Among them, γ” is the clearing price, is the dual variable corresponding to the frequency modulation constraint, and P ₀ is the power reference value.

That is, the dual variable corresponding to the frequency regulation constraint is accessed through the dual() function, and the value of the dual variable of the frequency regulation constraint at time t is obtained. The dual variable is divided by the power reference value to obtain the frequency regulation capacity (mileage) clearing price.

In a possible implementation, the objective functions of the SCUC model and the SCED model may be the same. On this basis, the objective functions of the SCUC model and the SCED model are:

min{C ^GO +C ^G-UD +C ^B +C ^GF +C ^BF }

Among them, C ^GO is the operating cost of the conventional unit, CG ^-UD is the start-up and shutdown cost of the conventional unit, ^CB is the charging and discharging cost of the energy storage unit, ^CGF is the frequency regulation cost calculation formula of the conventional unit, and ^CBF is the frequency regulation cost of the energy storage unit.

In a possible implementation, the target energy storage system is regulated based on the output results of the SCUC model and the output results of the SCED model, including:

According to the output results of the SCUC model, the unit output plan, energy storage charging and discharging plan and the start and stop plan of each unit of the target energy storage system are prepared. According to the output results of the SCED model, the trading plan of the target energy storage system participating in the ancillary service market is prepared.

Among them, the unit output plan, energy storage charging and discharging plan, each unit start and shutdown plan and trading plan are the control strategies of the target energy storage system.

In a possible implementation, the day-ahead energy storage control method further includes:

According to the output results of the SCED model, the maximum profit that the target energy storage system can obtain by participating in peak and frequency regulation transactions is estimated.

In this embodiment, the maximum benefit I that the energy storage system can obtain by participating in peak load and frequency regulation transactions can be calculated based on the output results of the SCED model. Specifically, the benefits that the energy storage system can obtain by participating in peak load and frequency regulation transactions are mainly divided into energy storage power station benefits I _B and conventional unit benefits I _G .

Specifically, the profit calculation formula of the conventional unit of the energy storage system is:

Specifically, the energy storage system energy storage unit profit calculation formula is:

Therefore, the profit calculation formula of the energy storage system participating in peak load and frequency regulation transactions is:

I＝ _IG + _IB

Through the above method, the resources of the energy storage system participating in peak load and frequency regulation transactions can be scheduled on the day-ahead, and the optimal configuration of energy storage resources can be achieved from the perspective of minimum operating cost and maximum transaction revenue.

In one implementation manner, the embodiment of the present invention further illustrates the technical solution of the embodiment of the present invention by taking a specific application example.

Take the IEEE39 node system in a certain area as an example, please refer to Figure 2. The node has ten three-phase synchronous generators, 39 nodes, and a total of 46 branches, of which 5 are interconnection switch branches and 1 power supply is used as a balancing node. Each node mainly includes two types of units: conventional thermal power units and energy storage units. According to the relevant requirements and technical solutions of the present invention, the input and output power, storage capacity and other input parameters of the energy storage system are counted. The specific data are shown in the following table:

Table 1: Input parameter data of each node of the energy storage unit on a certain day

Table 2: Input parameter data of each node of a conventional unit on a certain day

Table 3: Grid parameter data of each node on a certain day

According to the data in the above table, the technical solution of the embodiment of the present invention is used to calculate the frequency regulation winning capacity and the electric energy market winning capacity of the system under the condition of meeting the minimum cost (as shown in Figures 3 and 4, respectively), and calculate the maximum benefit that the energy storage system can obtain by participating in the peak-shaving and frequency-regulating auxiliary service market transactions (as shown in Figures 5 and 6, respectively). From the above specific examples, it can be seen that the embodiment of the present invention is based on the relevant parameters of each node and each unit of the target energy storage system, and calculates the cost and benefit of participating in the peak-shaving and frequency-regulating transactions in real time, and compiles a reasonable power generation plan and a transaction plan for participating in the auxiliary service market, thereby realizing the configuration optimization and regulation of each energy storage resource of the energy storage system participating in the peak-shaving and frequency-regulating transactions.

Corresponding to the day-ahead energy storage control method of the above embodiment, FIG7 is a structural block diagram of a day-ahead energy storage control device provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown. Referring to FIG7 , the day-ahead energy storage control device 20 includes: a data acquisition module 21, a model solving module 22 and an energy storage control module 23.

The data acquisition module 21 is used to acquire various rated parameters of the target energy storage system based on the electrochemical energy storage characteristics, and determine the first constraint condition corresponding to the target energy storage system according to the various rated parameters.

The model solving module 22 is used to solve the objective function of the preset SCUC model based on the first constraint condition to obtain the output result of the SCUC model. The first constraint condition and the preset economic parameter calculation formula are used as the second constraint condition, and the objective function of the preset SCED model is solved based on the output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model.

The energy storage control module 23 is used to control the target energy storage system based on the output results of the SCUC model and the output results of the SCED model.

In one possible implementation, the various rated parameters include the energy storage capacity and charging and discharging power of the energy storage units at each node in the target energy storage system, the energy storage SOC rating, the maximum charging and discharging power of the energy storage units, the rated parameters of conventional units, the minimum start-up and shutdown duration of conventional units, the single startup cost and single shutdown cost of conventional units.

The first constraint conditions include energy storage capacity constraint, energy storage SOC constraint, charge and discharge power constraint, output constraint of conventional unit operation, power balance constraint, start-up time constraint and shutdown time constraint of conventional units, and start-up and shutdown cost constraint of conventional units.

The data acquisition module 21 is specifically used for:

According to the energy storage capacity of each energy storage unit in the target energy storage system, the rated total energy storage capacity of the energy storage system is calculated, and the energy storage capacity constraint of the energy storage system participating in peak load and frequency regulation trading is obtained.

The energy storage SOC constraint is determined according to the energy storage SOC rating of the target energy storage system.

According to the maximum charge and discharge power of the energy storage unit of the target energy storage system, the system power of the energy storage unit is calculated to obtain the charge and discharge power constraint of the energy storage system.

According to the rated parameters of the conventional units of the target energy storage system, the maximum power generation output and the minimum power generation output of the conventional units at each node of the target energy storage system are calculated to obtain the output constraints of the conventional units.

According to the real-time load of each unit of the target energy storage system, the power balance constraint of the target energy storage system is determined.

The start-up time constraint and shutdown time constraint of the conventional units in the target energy storage system are calculated according to the minimum start-up and shutdown duration of the conventional units in the target energy storage system.

The startup and shutdown cost constraints of conventional units in the target energy storage system are calculated based on the single startup cost and single shutdown cost of conventional units.

In a possible implementation, the first constraint condition also includes: constraints on the frequency regulation of each unit in the target energy storage system, line flow constraints between nodes, operation cost calculation formula of conventional units, start-stop cost calculation formula of conventional units, charge and discharge cost calculation formula of energy storage units, frequency regulation cost calculation formula of conventional units, and frequency regulation cost calculation formula of energy storage units. Among them, the operation cost calculation formula of conventional units is:

Among them, C ^GO is the operating cost of the conventional unit, and λ _G is the power generation cost of the conventional unit.

The calculation formula for the start-up and shutdown cost of conventional units is:

Among them, ^CG-UD is the start-up and shutdown cost of conventional units.

The calculation formula for the charging and discharging cost of the energy storage unit is:

Among them, ^CB is the charging and discharging cost of the energy storage unit, _λBc and _λBd are the charging price and discharging price of the energy storage unit respectively.

The frequency regulation cost calculation formula of conventional units is:

Among them, ^CGF is the frequency regulation cost calculation formula of conventional units, They are the frequency regulation capacity clearing price and frequency regulation mileage clearing price of conventional units, The number of successful bids in the conventional unit frequency regulation market.

The frequency regulation cost calculation formula of the energy storage unit is:

Among them, ^CBF is the frequency regulation cost of the energy storage unit, are the clearing price of frequency regulation capacity and frequency regulation mileage of energy storage units, respectively. The number of bids won in the frequency regulation market for energy storage units.

In a possible implementation, the preset economic parameter calculation formulas include: a node electricity price calculation formula, a power transfer distribution factor calculation formula, and a clearing price calculation formula.

The calculation formula of node electricity price is:

Among them, λ _i is the node electricity price, To balance the node electricity price, P _m-1 is the upstream node power of the i-node m-branch, P _m+1 is the downstream node power of the i-node m-branch, and γ is the power transfer distribution factor.

The power transfer distribution factor is calculated as:

γ _i,j = (Bf _i,m -Bf _j,m )/Bbus _i,j

Wherein, γ _i,j is the power transfer distribution factor of the m branch at nodes i and j, and Bbus _i,j is the susceptance value between nodes i and j.

The formula for calculating the clearing price is:

Among them, γ” is the clearing price, is the dual variable corresponding to the frequency modulation constraint, and P ₀ is the power reference value. In a possible implementation, the objective functions of the SCUC model and the SCED model are:

min{C ^GO +C ^G-UD +C ^B +C ^GF +C ^BF }

Among them, C ^GO is the operating cost of the conventional unit, CG ^-UD is the start-up and shutdown cost of the conventional unit, ^CB is the charging and discharging cost of the energy storage unit, ^CGF is the frequency regulation cost calculation formula of the conventional unit, and ^CBF is the frequency regulation cost of the energy storage unit.

In a possible implementation, the energy storage control module 23 is specifically used to:

According to the output results of the SCUC model, the unit output plan, energy storage charging and discharging plan and the start and stop plan of each unit of the target energy storage system are prepared. According to the output results of the SCED model, the trading plan of the target energy storage system participating in the ancillary service market is prepared.

Among them, the unit output plan, energy storage charging and discharging plan, each unit start and shutdown plan and trading plan are the control strategies of the target energy storage system.

In a possible implementation, the energy storage control module 23 is further used to:

According to the output results of the SCED model, the maximum profit that the target energy storage system can obtain by participating in peak and frequency regulation transactions is estimated.

Referring to FIG8 , FIG8 is a schematic block diagram of a terminal device provided in an embodiment of the present invention. As shown in FIG8 , the terminal 300 in this embodiment may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, and the computer programs include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. Among them, the processor 301 is configured to call the program instructions to perform the functions of the modules/units in the above-mentioned device embodiments, such as the functions of modules 21 to 23 shown in FIG7 .

It should be understood that in the embodiment of the present invention, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

The input device 302 may include a touch panel, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information on the device type.

In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiment of the present invention can execute the implementation methods described in the first embodiment and the second embodiment of the day-ahead energy storage control method provided in the embodiment of the present invention, and can also execute the implementation method of the terminal described in the embodiment of the present invention, which will not be repeated here.

In another embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, wherein the program instructions are executed by a processor to implement all or part of the processes in the above-mentioned embodiment method, and the computer program can also be completed by instructing related hardware through a computer program, wherein the computer program can be stored in a computer-readable storage medium, and wherein the computer program can implement the steps of each of the above-mentioned method embodiments when executed by a processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the contents contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signal and telecommunication signal.

The computer-readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, such as a hard disk or memory of the terminal. The computer-readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit of the terminal and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the terminals and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims (10)

1. A day-ahead energy storage control method, characterized by comprising: Acquire various rated parameters of the target energy storage system based on the electrochemical energy storage characteristics, and determine a first constraint condition corresponding to the target energy storage system according to the various rated parameters; The objective function of the preset SCUC model is solved based on the first constraint condition to obtain the output result of the SCUC model; the first constraint condition and the preset economic parameter calculation formula are used as the second constraint condition, and the objective function of the preset SCED model is solved based on the output result of the SCUC model and the second constraint condition to obtain the output result of the SCED model; The target energy storage system is regulated based on the output result of the SCUC model and the output result of the SCED model. 2. The day-ahead energy storage control method according to claim 1, characterized in that the various rated parameters include the energy storage capacity and charge/discharge power of each node energy storage unit in the target energy storage system, the energy storage SOC rated value, the maximum charge/discharge power of the energy storage unit, the rated parameters of the conventional unit, the minimum duration of start/stop of the conventional unit, the single startup cost and single shutdown cost of the conventional unit; The first constraint conditions include energy storage capacity constraint, energy storage SOC constraint, charge and discharge power constraint, output constraint of conventional unit operation, power balance constraint, startup time constraint and shutdown time constraint of conventional unit, and startup and shutdown cost constraint of conventional unit; The determining of the first constraint condition corresponding to the target energy storage system according to the various rated parameters includes: According to the energy storage capacity of each energy storage unit of the target energy storage system, the rated total energy storage capacity of the energy storage system is calculated to obtain the energy storage capacity constraint of the energy storage system participating in the peak load and frequency regulation transaction; Determining an energy storage SOC constraint according to an energy storage SOC rating of the target energy storage system; According to the maximum charge and discharge power of the energy storage unit of the target energy storage system, the system power of the energy storage unit is calculated to obtain the charge and discharge power constraint of the energy storage system; According to the rated parameters of the conventional units of the target energy storage system, the maximum power generation output and the minimum power generation output of the conventional units of each node of the target energy storage system are calculated to obtain the output constraints of the conventional units; Determining the power balance constraint of the target energy storage system according to the real-time load of each unit of the target energy storage system; Calculate the startup time constraint and shutdown time constraint of the conventional unit in the target energy storage system according to the minimum startup and shutdown duration of the conventional unit in the target energy storage system; The start-up and shutdown cost constraints of conventional units in the target energy storage system are calculated according to the single startup cost and single shutdown cost of the conventional units. 3. The day-ahead energy storage control method according to claim 2, characterized in that the first constraint condition further comprises: constraints on the frequency modulation participation of each unit in the target energy storage system, line flow constraints between nodes, operation cost calculation formula of conventional units, start-stop cost calculation formula of conventional units, charge-discharge cost calculation formula of energy storage units, frequency modulation cost calculation formula of conventional units, and frequency modulation cost calculation formula of energy storage units; wherein the operation cost calculation formula of the conventional unit is: Among them, C ^GO is the operating cost of the conventional unit, and λ _G is the power generation cost of the conventional unit operation; The calculation formula for the start-up and shutdown cost of the conventional unit is: Among them, CG ^-UD is the start-up and shutdown cost of conventional units; The calculation formula for the charging and discharging cost of the energy storage unit is: Among them, ^CB is the charging and discharging cost of the energy storage unit, _λBc and _λBd are the charging and discharging electricity prices of the energy storage unit respectively; The frequency regulation cost calculation formula of the conventional unit is: Among them, ^CGF is the frequency regulation cost calculation formula of conventional units, They are the frequency regulation capacity clearing price and frequency regulation mileage clearing price of conventional units, The number of bids won in the conventional unit frequency regulation market; The frequency regulation cost calculation formula of the energy storage unit is: Among them, ^CBF is the frequency regulation cost of the energy storage unit, are the clearing price of frequency regulation capacity and frequency regulation mileage of energy storage units, respectively. The number of bids won in the frequency regulation market for energy storage units. 4. The day-ahead energy storage control method according to claim 1, wherein the preset economic parameter calculation formula includes: a node electricity price calculation formula, a power transfer distribution factor calculation formula and a clearing price calculation formula; The node electricity price calculation formula is: Among them, λ _i is the node electricity price, is the equilibrium node electricity price, P _m-1 is the upstream node power of the i-node m-branch, P _m+1 is the downstream node power of the i-node m-branch, and γ is the power transfer distribution factor; The power transfer distribution factor calculation formula is: γ _i,j = (Bf _i,m -Bf _j,m )/Bbus _i,j Wherein, γ _i,j is the power transfer distribution factor of the m branch at nodes i and j, and Bbus _i,j is the susceptance value between nodes i and j; The clearing price calculation formula is: Among them, γ” is the clearing price, is the dual variable corresponding to the frequency modulation constraint, and P ₀ is the power reference value. 5. The day-ahead energy storage control method according to claim 1, wherein the objective functions of the SCUC model and the SCED model are: min{C ^GO +C ^G-UD +C ^B +C ^GF +C ^BF } Among them, C ^GO is the operating cost of the conventional unit, CG ^-UD is the start-up and shutdown cost of the conventional unit, ^CB is the charging and discharging cost of the energy storage unit, ^CGF is the frequency regulation cost calculation formula of the conventional unit, and ^CBF is the frequency regulation cost of the energy storage unit. 6. The day-ahead energy storage control method according to claim 1, wherein the control of the target energy storage system based on the output result of the SCUC model and the output result of the SCED model comprises: According to the output results of the SCUC model, the unit output plan, energy storage charging and discharging plan and the start and stop plan of each unit of the target energy storage system are prepared; according to the output results of the SCED model, a trading plan for the target energy storage system to participate in the ancillary service market is prepared; Among them, the unit output plan, energy storage charging and discharging plan, each unit start and shutdown plan and the transaction plan are the control strategies of the target energy storage system. 7. The day-ahead energy storage control method according to any one of claims 1 to 6, characterized in that the day-ahead energy storage control method further comprises: The maximum benefit that the target energy storage system can obtain by participating in peak load and frequency regulation transactions is estimated based on the output results of the SCED model. 8. A day-ahead energy storage control device, characterized by comprising: A data acquisition module, used to acquire various rated parameters of a target energy storage system based on electrochemical energy storage characteristics, and determine a first constraint condition corresponding to the target energy storage system according to the various rated parameters; A model solving module, used to solve the objective function of a preset SCUC model based on the first constraint condition to obtain an output result of the SCUC model; using the first constraint condition and a preset economic parameter calculation formula as a second constraint condition, and solving the objective function of a preset SCED model based on the output result of the SCUC model and the second constraint condition to obtain an output result of the SCED model; The energy storage control module is used to control the target energy storage system based on the output results of the SCUC model and the output results of the SCED model. 9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program. 10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 7.