CN114844119A - Energy storage power generation installation and capacity optimal configuration method and system - Google Patents

Abstract

An energy storage power generation installed capacity and capacity optimization configuration method and system, comprising: inputting the acquired power system parameters and the annual theoretical power sequence of new energy into a pre-built new energy sequential production simulation optimization model, and calculating the annual curtailment of new energy Sequence; based on the annual power abandonment sequence of new energy and the annual theoretical power sequence of new energy, the minimum proportional coefficient of power abandonment consumption is calculated; the minimum proportional coefficient of power abandonment consumption and the annual power abandonment sequence of new energy are brought into the pre-built energy storage system The power generation installed capacity and capacity optimization model is used to obtain the energy storage power generation installed capacity and capacity requirements that meet the new energy utilization rate; wherein, the energy storage power generation installed capacity and capacity optimization model is the energy storage power generation installed capacity and capacity economic cost when the new energy utilization rate is met The minimum is constructed from the objective function and the set constraints. The random fluctuation of new energy output is fully considered, and the model solving problems caused by the one-time optimization of new energy output, installed capacity and capacity of energy storage and power generation are avoided.

Description

A kind of energy storage power generation installed capacity and capacity optimization configuration method and system

technical field

The invention relates to the technical field of new energy and energy storage power generation, in particular to a method and system for the optimal configuration of installed capacity and capacity of energy storage power generation.

Background technique

After a high proportion of new energy sources are connected to the power grid, the pressure on peak regulation and frequency regulation of the power grid is increased. The large-scale grid-connected operation of new energy sources presents random fluctuations on both sides of supply and demand. The output of conventional power sources must not only follow the load changes, but also balance the output fluctuations of new energy sources, which not only increases the regulation pressure of conventional power sources, but also Increases the difficulty of balancing the power grid. Electrochemical energy storage can stabilize the randomness and volatility of new energy output, that is, when the new energy is abandoned, the energy storage is charged, and when the new energy is not abandoned, the energy storage is discharged. Configuring electrochemical energy storage is one of the important technical means to solve the problem of new energy consumption.

At present, the investment cost of electrochemical energy storage is still relatively high. When configuring electrochemical energy storage, it is necessary to take into account the two factors of economy and new energy consumption, and to achieve a reasonable and optimal configuration of energy storage scale on the premise of ensuring the utilization rate of new energy. . The optimal configuration of energy storage needs to determine two elements: the installed capacity of energy storage power generation and the energy storage capacity. The installed capacity of energy storage power generation is the rated power value of the energy storage inverter, which represents the maximum charging and discharging power of the energy storage in each period; the energy storage capacity represents The maximum amount of power it can store. The installed capacity and capacity of energy storage power generation have an impact on the consumption of new energy and abandoned electricity. For example, when the new energy abandoned electricity power is large, if the installed energy storage generation capacity is insufficient, part of the abandoned electricity cannot be absorbed; If the energy storage capacity is small, the energy storage will be unable to absorb the abandoned electricity after it is fully charged prematurely. However, excessive installed power generation capacity and capacity will increase the cost of energy storage investment. Therefore, it is necessary to find a balance between the installed capacity and capacity of energy storage power generation while meeting the requirements of new energy utilization to obtain the most economical energy storage configuration scheme.

Time-series production simulation technology is a commonly used technical method in planning problems. Through the operation optimization simulation of 8760h of the whole year, the random fluctuation of new energy output, system power balance and power supply regulation can be fully considered. However, for large-scale power grids such as the provincial level, there are a large number of power units and a complex grid structure. When using the annual 8760h sequential production simulation method to optimize the allocation of energy storage, it is necessary to take into account the system operation, the combination of conventional power units, the state of energy storage charging and discharging, and Due to various factors such as new energy consumption, it is extremely difficult to directly solve the model.

To solve this problem, the existing methods usually use the following methods to solve it: First, only the input of new energy in each season or the typical day of each month, which greatly reduces the time range considered, which simplifies the difficulty of solving the problem. However, the typical daily output curve of new energy cannot fully reflect the random fluctuation of new energy output, which will affect the scientificity of energy storage planning results. Second, given a number of energy storage configuration schemes, the annual sequential production simulation is carried out for each configuration scheme to calculate its corresponding new energy utilization rate, and then the results of each scenario are compared to make an optimal selection. However, since the installed capacity and capacity of energy storage and power generation are configurable parameters, there are infinitely many possible energy storage configuration schemes. Since all possible schemes cannot be exhausted, this method cannot obtain the optimal configuration result. In addition, the energy storage configuration needs to optimize the installed power generation capacity and capacity at the same time. Some methods use a given energy storage duration to optimize the energy storage capacity. Although the problem is simplified, the ratio between the energy storage capacity and the installed power generation capacity remains fixed. It also greatly limits the flexibility of the energy storage configuration scheme, resulting in inaccurate results.

SUMMARY OF THE INVENTION

In order to solve the problems in the prior art that the random fluctuation of new energy output is not fully considered, and it is difficult to obtain the optimal power generation capacity and capacity of energy storage at one time, the present invention proposes an energy storage power generation installation and capacity optimization configuration method, include:

Input the obtained power system parameters and the annual theoretical power sequence of new energy into the pre-built new energy sequential production simulation optimization model that does not include energy storage, and calculate the annual power abandonment sequence of new energy;

Based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source, the minimum proportional coefficient of power abandonment consumption is obtained;

Bringing the minimum proportional coefficient of abandoned electricity consumption and the new energy annual abandonment sequence into a pre-built energy storage power generation installed capacity and capacity optimization model to obtain the energy storage power generation installed capacity and capacity requirements that meet the utilization rate of new energy;

Among them, the new energy sequential production simulation optimization model is constructed with the optimization goal of maximizing the consumption of new energy in the whole network, and the constraints of grid power balance, system backup demand, operation of various power sources and cross-section transmission safety;

The energy storage power generation installed capacity and capacity optimization model is constructed by taking the minimum economic cost of the energy storage power generation installed capacity and capacity as the objective function and the constraints set for the objective function when the new energy utilization rate is satisfied.

Preferably, the construction of the energy storage power generation installed capacity and capacity optimization model includes:

Taking the minimum installed capacity of energy storage power generation and capacity economic cost as the objective function, set energy storage capacity constraints, energy storage system charge and discharge power constraints, energy storage state of charge constraints, energy storage duration constraints and power abandonment consumption constraints for the objective function;

Based on the objective function and the energy storage capacity constraints, energy storage system charge and discharge power constraints, energy storage state of charge constraints, energy storage duration constraints, and power abandonment consumption constraints, an energy storage power generation installed capacity and capacity optimization model is constructed.

Preferably, the minimum proportional coefficient of power abandonment and consumption and the annual power abandonment sequence of new energy sources are brought into a pre-built energy storage power generation installed capacity and capacity optimization model to obtain an energy storage power generation installed capacity and a capacity optimization model that satisfies the utilization rate of new energy. Capacity requirements, including:

Inputting the new energy year-round power abandonment sequence into the energy storage power generation installed capacity and capacity optimization model, and using a mathematical programming solver to solve the problem to obtain the optimal energy storage power generation installed capacity and capacity.

Preferably, the annual power abandonment sequence of the new energy source is calculated as follows:

P _c ={P _c (t),t=1,2,...,T}

In the formula, P _c is the annual curtailment sequence of new energy sources, P _c (t) is the curtailment power of new energy sources in the t period, t is the period, and T is the number of all periods of the year.

Preferably, the minimum proportional coefficient of the waste electricity consumption is calculated as follows:

In the formula, α is the minimum proportional coefficient of power abandonment consumption, r is the utilization rate of new energy, P ₀ (t) is the theoretical power sequence, P _c (t) is the power abandonment sequence of new energy, and T is the number of all periods of the year.

Preferably, the objective function of the energy storage power generation installed capacity and capacity optimization model is calculated as follows:

min c ₁ E _max +c ₂ P _max

In the formula, c ₁ is the unit energy storage capacity cost, E _max is the energy storage capacity, c ₂ is the unit energy storage power generation installed cost, and P _max is the energy storage power generation installed capacity.

Preferably, the constraint on the amount of waste electricity consumption is calculated as follows:

In the formula, P _ch (t) is the charging power of the energy storage at time t, α is the minimum proportional coefficient of power abandonment consumption, P _c (t) is the new energy power abandonment sequence, and T is the number of all periods of the year.

Based on the same inventive concept, the present invention also proposes an energy storage power generation installed capacity and capacity optimization configuration system, including:

The calculation sequence module is used to input the acquired power system parameters and the annual theoretical power sequence of new energy into the pre-built new energy sequential production simulation optimization model that does not include energy storage, and calculate the annual power abandonment sequence of new energy;

A calculation coefficient module, used to calculate and obtain the minimum proportional coefficient of power abandonment and consumption based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source;

The model solving module is used to bring the minimum proportional coefficient of power abandonment consumption and the annual power abandonment sequence of new energy into a pre-built energy storage power generation installed capacity and capacity optimization model, so as to obtain the energy storage power generation installed capacity that meets the utilization rate of new energy. and capacity requirements;

Among them, the new energy sequential production simulation optimization model is constructed with the optimization goal of maximizing the consumption of new energy in the whole network, and the constraints of grid power balance, system backup demand, operation of various power sources and cross-section transmission safety;

The energy storage power generation installed capacity and capacity optimization model is constructed by taking the minimum economic cost of the energy storage power generation installed capacity and capacity as the objective function and the constraints set for the objective function when the new energy utilization rate is satisfied.

Preferably, the model solving module is specifically used for:

Inputting the new energy year-round power abandonment sequence into the energy storage power generation installed capacity and capacity optimization model, and using a mathematical programming solver to solve the problem to obtain the optimal energy storage power generation installed capacity and capacity.

Preferably, the calculation coefficient module calculates the minimum proportional coefficient of power abandonment consumption by the following formula:

In the formula, α is the minimum proportional coefficient of power abandonment consumption, r is the utilization rate of new energy, P ₀ (t) is the theoretical power sequence, P _c (t) is the power abandonment sequence of new energy, and T is the number of all periods of the year.

Compared with the prior art, the beneficial effects of the present invention are:

An energy storage power generation installed capacity and capacity optimization configuration method and system, comprising: inputting the acquired power system parameters and the annual theoretical power sequence of new energy into a pre-built new energy time series production simulation optimization model that does not include energy storage, and calculating a new energy The annual power abandonment sequence of energy sources; based on the annual power abandonment sequence of new energy sources and the annual theoretical power sequence of new energy sources, the minimum proportional coefficient of power abandonment consumption is calculated; the minimum proportional coefficient of power abandonment consumption and the The new energy annual power abandonment sequence is brought into the pre-built energy storage power generation installed capacity and capacity optimization model to obtain the energy storage power generation installed capacity and capacity requirements to meet the new energy utilization rate; wherein, the new energy time series production simulation optimization model is based on the whole network. The optimization goal is to maximize the consumption of new energy, and it is constructed with the constraints of grid power balance, system backup demand, various power supply operations and cross-section transmission safety; the energy storage power generation installed capacity and capacity optimization model is to meet the new energy utilization rate. It is constructed by taking the minimum installed capacity and economic cost of energy storage and capacity as the objective function and the constraints set for the objective function; the present invention not only considers the random fluctuation of the output of new energy, but also takes into account the energy storage through step-by-step calculation. Factors such as investment economy, new energy consumption, optimization of thermal power unit combination, and model calculation efficiency can directly obtain the optimal power generation capacity and capacity of energy storage.

Description of drawings

Fig. 1 is a flow chart of an energy storage power generation installed capacity and capacity optimization configuration method of the present invention;

Fig. 2 is the flow chart of the energy storage power and capacity optimization method for promoting new energy consumption according to the present invention;

Fig. 3 is the power abandonment sequence diagram of the new energy 8760h of the present invention;

FIG. 4 is a diagram of the new energy abandoned power and the energy storage charging and discharging power before and after the energy storage configuration in the present invention for 2 consecutive days.

Detailed ways

In order to realize the optimization of the rated capacity and rated power of electrochemical energy storage while promoting the consumption of new energy, the present invention adopts two-step optimization, firstly without considering the connection of energy storage, and by establishing a new energy sequential production simulation optimization model to calculate the new energy energy curtailment sequence; then, based on the new energy curtailment sequence, combined with the new energy utilization rate target, calculate the power scale setting that needs to be recycled and consumed by energy storage in the curtailed power sequence; finally, establish an energy storage power generation based on new energy curtailment Installed capacity and capacity optimization model, by solving the model, the installed capacity and capacity scale of energy storage power generation under the minimum economic cost can be obtained. In order to better understand the present invention, the content of the present invention will be further described below with reference to the accompanying drawings and examples.

Example 1:

An energy storage power generation installed capacity and capacity optimization configuration method, the realization process of which is shown in Figure 1, including:

Step 1: Input the acquired power system parameters and the annual theoretical power sequence of new energy into a pre-built new energy sequential production simulation optimization model that does not include energy storage, and calculate the annual curtailment sequence of new energy;

Step 2, based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source, calculate and obtain the minimum proportional coefficient of power abandonment consumption;

Step 3: Bring the minimum proportional coefficient of power abandonment and consumption and the new energy annual power abandonment sequence into a pre-built energy storage power generation installed capacity and capacity optimization model to obtain the energy storage power generation installed capacity and capacity requirements that meet the new energy utilization rate. ;

Among them, the new energy sequential production simulation optimization model is constructed with the optimization goal of maximizing the consumption of new energy in the whole network, and the constraints of grid power balance, system backup demand, operation of various power sources and cross-section transmission safety;

The energy storage power generation installed capacity and capacity optimization model is constructed by taking the minimum economic cost of the energy storage power generation installed capacity and capacity as the objective function and the constraints set for the objective function when the new energy utilization rate is satisfied.

A method of the present invention for an energy storage power generation installed capacity and a capacity optimization configuration method will be described in detail below with reference to FIG. 2 .

In step 1, the obtained power system parameters and the annual theoretical power sequence of new energy are input into the pre-built new energy sequential production simulation optimization model that does not include energy storage, and the annual power abandonment sequence of new energy is calculated, including:

According to the power system parameters in a given scenario, a new energy sequential production simulation without electrochemical energy storage is carried out. Establish a new energy sequential production simulation optimization model that does not include energy storage. The model takes the maximum new energy consumption of the entire network as the optimization goal, and considers the power balance constraints of the grid, system reserve demand constraints, various power supply operation constraints, and cross-section transmission safety constraints, etc. .

Taking the annual theoretical power sequence of new energy P ₀ ={P ₀ (t),t=1,2,…,T}, electricity load, power grid and power supply parameters as input, through the annual sequential production simulation optimization calculation, Obtain the new energy power abandonment sequence P _c =P _c (t), t = 1,2,...,T}, where P _c (t) is the new energy power abandonment power in the t period, T is the number of all periods of the year, P _c represents the collection of new energy curtailment series throughout the year. The simulation optimization calculation of the annual time series production can adopt the existing weekly calculation methods to improve the solution efficiency.

In step 2, based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source, the minimum proportional coefficient of power abandonment consumption is calculated and obtained, specifically including:

Based on the new energy power abandonment sequence P _c , obtain the charge and discharge state sequence x={x(t), t=1, 2, . The sign function of P _c (t) equal to the power discarded at time t is as follows:

x(t)=sgn(P _c (t))

where the symbolic function is:

The meaning of the charge-discharge status is that when the system has new energy abandoned (P _c (t)>0), the energy storage charge and discharge status is set to 1, indicating that charging can be performed; when the system has no new energy abandoned (P _c (t)>0) (t)=0), the charging and discharging state of the energy storage is 0, indicating that the energy storage can be discharged.

Based on the new energy power abandonment sequence P _c and the theoretical power sequence P ₀ , calculate the minimum proportional coefficient α that needs to be absorbed in the new energy power abandonment power in order to meet the current r of the new energy utilization rate:

In step 3, the minimum proportional coefficient of power abandonment consumption and the annual power abandonment sequence of new energy sources are brought into a pre-built energy storage power generation installed capacity and capacity optimization model to obtain an energy storage power generation installed capacity and a capacity optimization model that satisfies the utilization rate of new energy. Capacity requirements, including:

Based on the annual abandonment sequence of new energy and the minimum proportional coefficient of abandoned electricity consumption, an installed capacity and capacity optimization model of energy storage is established to calculate the most economical installed capacity and capacity demand of energy storage under the condition of new energy utilization.

The objective function of the energy storage power generation installed capacity and capacity optimization model is:

min c ₁ E _max +c ₂ P _max

In the formula: E _max represents the energy storage capacity, which is an optimization variable; P _max represents the installed capacity of energy storage power generation, which is an optimization variable; c ₁ represents the unit energy storage capacity cost, and c ₂ represents the unit energy storage power generation installed cost.

Constraints include:

(1) Energy storage capacity constraints:

0≤E(t)≤E _max

E(t) is the stored power of the energy storage at time t, which is an optimization variable. This constraint means that the stored electricity E(t) of the energy storage at time t cannot be greater than the energy storage capacity E _max .

(2) Charge and discharge power constraints of the energy storage system:

P _ch (t) represents the charging power of the energy storage at time t, which is an optimization variable; P _dc (t) represents the discharging power of the energy storage at time t, which is an optimization variable. This constraint means that the charging power P _ch (t) and the discharging power P _dc (t) at time t do not exceed their installed power generation capacity P _max , and are determined by the charging and discharging state x(t), and the charging and discharging power will not be positive at the same time . It can be seen from step 2 that the charge-discharge state x(t) at the time of energy storage t has been determined in advance and is a known quantity. When x(t) is equal to 1, the charging power P _ch (t) takes a value between 0 and P _max , that is, charging can be performed, while the discharging power P _dc (t) is constrained to be 0; on the contrary, when x(t) When equal to 0, the discharge power P _dc (t) takes a value between 0 and P _max , and the charging power P _ch (t) is constrained to be zero.

(3) Energy storage state of charge constraints:

This constraint describes the relationship between energy storage and charging and discharging power at adjacent times of energy storage. That is: E(t) represents the energy storage of energy storage at time t, which is an optimization variable; E(t-1) represents the energy storage of energy storage at time t-1, which is an optimization variable; η represents the charging and discharging efficiency of energy storage.

(4) Constraints on the duration of energy storage:

nP _max ≤E _max

This constraint means that the duration of energy storage is greater than the given minimum duration of energy storage, and n represents the minimum duration of energy storage.

(5) Constraints on the consumption of waste electricity:

This constraint means that the annual storage capacity of energy storage should be greater than the minimum proportion of new energy waste power consumption.

Since the charging and discharging state of energy storage has been determined in advance, the above-mentioned energy storage power generation installed capacity and capacity optimization model is a linear programming model and does not contain integer variables.

Call the mathematical programming solver to solve the energy storage power generation installed capacity and capacity optimization model, and obtain the optimal power generation installed capacity and capacity of the energy storage.

Based on a provincial power grid, the optimal configuration calculation of energy storage is carried out. First, by establishing a simulation optimization model of the annual 8760h time series production, without considering the access of energy storage, the 8760h power abandonment sequence of the province's new energy sources is obtained through optimization calculation. The power abandonment sequence is shown in Figure 3. According to statistics, without energy storage, the province's new energy consumption is 40.76 billion kWh, and the abandoned electricity is 5.21 billion kWh, and the new energy utilization rate is 88.7%. The new energy utilization target after the configuration of energy storage is set to 95%. According to the calculation, in order to meet the new energy utilization target of 95%, at least another 2.91 billion kWh of abandoned electricity needs to be consumed. The minimum scale factor is 0.559.

The installed cost of energy storage power generation is set at 500 yuan/kW, the capacity cost is set at 2000 yuan/kWh, and the charging and discharging efficiencies are both 95%. Based on the 8,760-h power abandonment sequence of new energy throughout the year, an energy storage power generation installed capacity and capacity optimization model is established. , through the optimization solution, the optimal power generation installed capacity of energy storage is 2924MW, the optimal capacity is 11221MWh, and the converted energy storage time is 3.8h. Figure 4 shows the new energy abandoned power and energy storage charging and discharging power before and after the configuration of energy storage for 2 consecutive days. It can be found that the energy storage is charged during the period of new energy abandonment, and discharged during the period when no abandonment occurs. Consumption of energy waste electricity. According to statistics, the calculation time of production simulation without energy storage is 8.7 minutes, and the calculation time of energy storage power generation installed capacity and capacity optimization model is 0.75 minutes, and the total time can meet the needs of engineering practicability.

Example 2:

An energy storage power generation installed capacity and capacity optimization configuration system, comprising:

The calculation sequence module is used to input the acquired power system parameters and the annual theoretical power sequence of new energy into the pre-built new energy sequential production simulation optimization model that does not include energy storage, and calculate the annual power abandonment sequence of new energy;

A calculation coefficient module, used to calculate and obtain the minimum proportional coefficient of power abandonment and consumption based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source;

The model solving module is used to bring the minimum proportional coefficient of power abandonment consumption and the annual power abandonment sequence of new energy into a pre-built energy storage power generation installed capacity and capacity optimization model, so as to obtain the energy storage power generation installed capacity that meets the utilization rate of new energy. and capacity requirements;

Among them, the new energy sequential production simulation optimization model is constructed with the optimization goal of maximizing the consumption of new energy in the whole network, and the constraints of grid power balance, system backup demand, operation of various power sources and cross-section transmission safety;

The energy storage power generation installed capacity and capacity optimization model is constructed by taking the minimum economic cost of the energy storage power generation installed capacity and capacity as the objective function and the constraints set for the objective function when the new energy utilization rate is satisfied.

Computational sequence module, specifically for:

According to the power system parameters in a given scenario, a new energy sequential production simulation without electrochemical energy storage is carried out. Establish a new energy sequential production simulation optimization model that does not include energy storage. The model takes the maximum new energy consumption of the entire network as the optimization goal, and considers the power balance constraints of the grid, system reserve demand constraints, various power supply operation constraints, and cross-section transmission safety constraints, etc. .

Taking the annual theoretical power sequence of new energy P ₀ ={P ₀ (t),t=1,2,…,T}, electricity load, power grid and power supply parameters as input, through the annual sequential production simulation optimization calculation, Obtain the new energy power abandonment sequence P _c =P _c (t), t = 1,2,...,T}, where P _c (t) is the new energy power abandonment power in the t period, T is the number of all periods of the year, P _c represents the collection of new energy curtailment series throughout the year. The simulation optimization calculation of the annual time series production can adopt the existing weekly calculation methods to improve the solution efficiency.

The calculation coefficient module, according to the figure, is used for:

Based on the new energy power abandonment sequence P _c , obtain the charge and discharge state sequence x={x(t), t=1, 2, . The sign function of P _c (t) equal to the power discarded at time t is as follows:

x(t)=sgn(P _c (t))

where the symbolic function is:

The meaning of the charge-discharge status is that when the system has new energy abandoned (P _c (t)>0), the energy storage charge and discharge status is set to 1, indicating that charging can be performed; when the system has no new energy abandoned (P _c (t)>0) (t)=0), the charging and discharging state of the energy storage is 0, indicating that the energy storage can be discharged.

Based on the new energy power abandonment sequence P _c and the theoretical power sequence P ₀ , calculate the minimum proportional coefficient α that needs to be absorbed in the new energy power abandonment power in order to meet the current r of the new energy utilization rate:

Model solver module, specifically for:

Based on the annual abandonment sequence of new energy and the minimum proportional coefficient of abandoned electricity consumption, an installed capacity and capacity optimization model of energy storage is established to calculate the most economical installed capacity and capacity demand of energy storage under the condition of new energy utilization.

The objective function of the energy storage power generation installed capacity and capacity optimization model is:

min c ₁ E _max +c ₂ P _max

In the formula: E _max represents the energy storage capacity, which is an optimization variable; P _max represents the installed capacity of energy storage power generation, which is an optimization variable; c ₁ represents the unit energy storage capacity cost, and c ₂ represents the unit energy storage power generation installed cost.

Constraints include:

(1) Energy storage capacity constraints:

0≤E(t)≤E _max

E(t) is the stored power of the energy storage at time t, which is an optimization variable. This constraint means that the stored electricity E(t) of the energy storage at time t cannot be greater than the energy storage capacity E _max .

(2) Charge and discharge power constraints of the energy storage system:

P _ch (t) represents the charging power of the energy storage at time t, which is an optimization variable; P _dc (t) represents the discharging power of the energy storage at time t, which is an optimization variable. This constraint means that the charging power P _ch (t) and the discharging power P _dc (t) at time t do not exceed their installed power generation capacity P _max , and are determined by the charging and discharging state x(t), and the charging and discharging power will not be positive at the same time . It can be seen from step 2 that the charge-discharge state x(t) at the time of energy storage t has been determined in advance and is a known quantity. When x(t) is equal to 1, the charging power P _ch (t) takes a value between 0 and P _max , that is, charging can be performed, while the discharging power P _dc (t) is constrained to be 0; on the contrary, when x(t) When equal to 0, the discharge power P _dc (t) takes a value between 0 and P _max , and the charging power P _ch (t) is constrained to be zero.

(3) Energy storage state of charge constraints:

This constraint describes the relationship between energy storage and charging and discharging power at adjacent times of energy storage. That is: E(t) represents the energy storage of energy storage at time t, which is an optimization variable; E(t-1) represents the energy storage of energy storage at time t-1, which is an optimization variable; η represents the charging and discharging efficiency of energy storage.

(4) Constraints on the duration of energy storage:

nP _max ≤E _max

This constraint indicates that the duration of energy storage is greater than the given minimum duration of energy storage, and n represents the minimum duration of energy storage.

(5) Constraints on the consumption of waste electricity:

This constraint means that the annual storage capacity of energy storage should be greater than the minimum proportion of new energy waste power consumption.

Since the charging and discharging state of energy storage has been determined in advance, the above-mentioned energy storage power generation installed capacity and capacity optimization model is a linear programming model and does not contain integer variables.

Call the mathematical programming solver to solve the energy storage power generation installed capacity and capacity optimization model, and obtain the optimal power generation installed capacity and capacity of the energy storage.

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

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

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

The above are only embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention are included in the invention pending approval. within the scope of the claims.

Claims (10)

1. An energy storage power generation installed capacity and a capacity optimization configuration method, characterized in that, comprising: Input the obtained power system parameters and the annual theoretical power sequence of new energy into the pre-built new energy sequential production simulation optimization model that does not include energy storage, and calculate the annual curtailment sequence of new energy; Based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source, the minimum proportional coefficient of power abandonment consumption is obtained; Bringing the minimum proportional coefficient of abandoned electricity consumption and the new energy annual abandonment sequence into a pre-built energy storage power generation installed capacity and capacity optimization model to obtain the energy storage power generation installed capacity and capacity requirements that meet the utilization rate of new energy; Among them, the new energy sequential production simulation optimization model is constructed with the optimization goal of maximizing the consumption of new energy in the whole network, and the constraints of grid power balance, system backup demand, operation of various power sources and cross-section transmission safety; The energy storage power generation installed capacity and capacity optimization model is constructed by taking the minimum economic cost of the energy storage power generation installed capacity and capacity as the objective function and the constraints set for the objective function when the new energy utilization rate is satisfied. 2. The method according to claim 1, wherein the construction of the energy storage power generation installed capacity and capacity optimization model comprises: Taking the minimum installed capacity of energy storage power generation and capacity economic cost as the objective function, set energy storage capacity constraints, energy storage system charge and discharge power constraints, energy storage state of charge constraints, energy storage duration constraints and power abandonment consumption constraints for the objective function; Based on the objective function and the energy storage capacity constraints, energy storage system charge and discharge power constraints, energy storage state of charge constraints, energy storage duration constraints, and power abandonment consumption constraints, an energy storage power generation installed capacity and capacity optimization model is constructed. 3. The method according to claim 1, characterized in that, the minimum proportional coefficient of power abandonment consumption and the annual power abandonment sequence of new energy sources are brought into a pre-built energy storage power generation installed capacity and capacity optimization model to obtain: The installed capacity and capacity of energy storage to meet the new energy utilization rate, including: Inputting the new energy year-round power abandonment sequence into the energy storage power generation installed capacity and capacity optimization model, and using a mathematical programming solver to solve the problem to obtain the optimal energy storage power generation installed capacity and capacity. 4. method according to claim 1, is characterized in that, described new energy annual power abandonment sequence is calculated as follows: P _c ={P _c (t), t=1, 2, . . . , T} In the formula, P _c is the annual curtailment sequence of new energy sources, P _c (t) is the curtailment power of new energy sources in the t period, t is the period, and T is the number of all periods of the year. 5. method according to claim 1, is characterized in that, described abandoned electricity consumption minimum proportional coefficient is calculated as follows:

In the formula, α is the minimum proportional coefficient of power abandonment consumption, r is the utilization rate of new energy, P ₀ (t) is the theoretical power sequence, P _c (t) is the power abandonment sequence of new energy, and T is the number of all periods of the year. 6. The method according to claim 2, wherein the objective function of the energy storage power generation installed capacity and the capacity optimization model is calculated as follows: min c ₁ E _max +c ₂ P _max In the formula, c ₁ is the unit energy storage capacity cost, E _max is the energy storage capacity, c ₂ is the unit energy storage power generation installed cost, and P _max is the energy storage power generation installed capacity. 7. method according to claim 2, is characterized in that, described abandoned electricity consumption constraint is calculated as follows:

In the formula, P _ch (t) is the charging power of the energy storage at time t, α is the minimum proportional coefficient of power abandonment consumption, P _c (t) is the new energy power abandonment sequence, and T is the number of all periods of the year. 8. An energy storage power generation installed capacity and capacity optimization configuration system, characterized in that, comprising: The calculation sequence module is used to input the acquired power system parameters and the annual theoretical power sequence of new energy into the pre-built new energy sequential production simulation optimization model that does not include energy storage, and calculate the annual power abandonment sequence of new energy; a calculation coefficient module, used to calculate and obtain the minimum proportional coefficient of power abandonment and consumption based on the annual power abandonment sequence of the new energy source and the annual theoretical power sequence of the new energy source; The model solving module is used to bring the minimum proportional coefficient of power abandonment consumption and the annual power abandonment sequence of new energy into a pre-built energy storage power generation installed capacity and capacity optimization model, so as to obtain the energy storage power generation installed capacity that meets the utilization rate of new energy. and capacity requirements; Among them, the new energy sequential production simulation optimization model is constructed with the optimization goal of maximizing the consumption of new energy in the whole network, and the constraints of grid power balance, system backup demand, operation of various power sources and cross-section transmission safety; The energy storage power generation installed capacity and capacity optimization model is constructed by taking the minimum economic cost of the energy storage power generation installed capacity and capacity as the objective function and the constraints set for the objective function when the new energy utilization rate is satisfied. 9. The system according to claim 8, wherein the model solving module is specifically used for: Inputting the new energy year-round power abandonment sequence into the energy storage power generation installed capacity and capacity optimization model, and using a mathematical programming solver to solve the problem to obtain the optimal energy storage power generation installed capacity and capacity. 10. The system according to claim 8, wherein the calculation coefficient module calculates the minimum proportional coefficient of power abandonment consumption by the following formula:

In the formula, α is the minimum proportional coefficient of power abandonment consumption, r is the utilization rate of new energy, P ₀ (t) is the theoretical power sequence, P _c (t) is the power abandonment sequence of new energy, and T is the number of all periods of the year.

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