CN110880777A - Method and device for evaluating emergency peak regulation standby capacity of energy storage at power grid side - Google Patents

Method and device for evaluating emergency peak regulation standby capacity of energy storage at power grid side Download PDF

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CN110880777A
CN110880777A CN201911322161.1A CN201911322161A CN110880777A CN 110880777 A CN110880777 A CN 110880777A CN 201911322161 A CN201911322161 A CN 201911322161A CN 110880777 A CN110880777 A CN 110880777A
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energy storage
grid side
power
power grid
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Inventor
谢东亮
蔡林君
雷长炎
宋晓芳
赖业宁
范越
李红霞
李志青
温生毅
王海亭
彭飞
李楠
马雪
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State Grid Corp of China SGCC
NARI Group Corp
Nari Technology Co Ltd
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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State Grid Corp of China SGCC
NARI Group Corp
Nari Technology Co Ltd
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract

The invention discloses a method and a device for evaluating the emergency peak shaving standby capacity of energy storage at a power grid side, which comprises the steps of determining an expected electric quantity range, an initial electric quantity point, the maximum electric quantity, the maximum charging/discharging power of the energy storage at the power grid side and a power generation or power utilization plan arranged for the energy storage at the power grid side in advance by a dispatching mechanism; solving a charging/discharging feasible region of the power grid side energy storage according to the power generation or power utilization plan and the electric quantity and power constraint of the power grid side energy storage; and evaluating the up/down standby capacity of the energy storage at the power grid side according to the feasible region of the energy storage at each time interval at the power grid side to obtain an evaluation result. The invention provides a method for calculating the energy storage operation standby capacity of the power grid side under a given power generation or power utilization plan, and the operation efficiency of the power grid is improved.

Description

Method and device for evaluating emergency peak regulation standby capacity of energy storage at power grid side
Technical Field
The invention relates to a method and a device for evaluating the emergency peak shaving standby capacity of energy storage at the side of a power grid, and belongs to the technical field of electric power.
Background
The inherent randomness and intermittence of wind and light power generation objectively causes adverse effects on the reliable operation of the power grid. The average error can be reduced to a certain extent by improving the wind and light output prediction level, but the maximum instantaneous error of output prediction is difficult to eliminate, so that the wind and light output can be realized as conventional water and thermal power, and the output is not realistic. The method is a key obstacle of further improving the new energy accepting capacity of the power grid, and the solution is to allocate more rapid standby capacity for the power grid.
At present, most of rotating standby in a power grid is borne by conventional hydroelectric and thermal power generating units. With the gradual replacement of thermal power by new energy electric quantity, standby resources of a power grid are reduced synchronously. This is in conflict with the grid demand, and the system needs to supplement the shortage of reserve capacity from many ways, such as reservoir capacity hydropower, energy storage and demand side response capacity. Particularly, the requirement is more urgent for a full-clean energy power supply structure in construction.
The establishment of auxiliary service markets such as standby and the like and the gradual establishment of a paid standby utilization mechanism have been well recognized in the industry. Similar to the electric power option trading, the standby market is one of important risk management tools of a power grid dispatching department, and is beneficial to not only smoothening energy source flows, fund flows and information flows caused by wind and light output uncertainty and practicing a risk sharing principle of 'who causes and who pays', but also increasing channels for stable occurrence of power generation, energy storage and load aggregation entities, and is beneficial to guiding investment to change to the aspect of improving the flexibility of an electric power system, and finally promoting the development of resources for source/grid/load/storage including an energy storage system with high manufacturing cost.
Accurate assessment of polymorphic backup capabilities is the basis for implementing backup optimization configurations. The centralized energy storage capacity is an important component of future power grid backup, and the technology thereof is still in a rapid development stage, and the forms include but are not limited to: pumped storage power stations, battery storage stations, and the like. The centralized energy storage at the power grid side in future planning has wide distribution region, large access scale and high response speed, and shares the key services of the power grid such as peak regulation, frequency regulation, voltage regulation and the like originally responsible by a conventional power supply. Therefore, an estimate of whether its backup capacity is too high or too low will introduce new risks or waste to the grid operation. Therefore, an evaluation method for the standby capacity of the grid-side energy storage emergency peak shaving operation is urgently needed to be provided so as to quantify the standby capacity of the grid-side energy storage.
The technical problems existing in the prior art are as follows: the emergency peak regulation standby capacity of the energy storage at the power grid side cannot be accurately evaluated.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method and a device for evaluating the emergency peak shaving standby capacity of the energy storage of the power grid side, and solves the problem that the emergency peak shaving standby capacity of the energy storage of the power grid side cannot be accurately evaluated at present.
In order to achieve the above purpose, the invention adopts the following technical scheme: a method for evaluating the emergency peak-shaving standby capacity of energy storage at the side of a power grid comprises the following steps,
solving a charging/discharging feasible region of the power grid side energy storage according to the power generation or power utilization plan and the electric quantity and power constraint of the power grid side energy storage;
and evaluating the up/down standby capacity of the energy storage at the power grid side according to the charging/discharging feasible region of the energy storage at the power grid side to obtain an evaluation result.
Further, the method for solving the charging/discharging feasible region of the energy storage at the power grid side comprises the following steps:
the electric quantity E (k) in any time period k is:
Figure BDA0002327421990000021
energy storage meter and loss charging/discharging power PGL(k) Comprises the following steps:
Figure BDA0002327421990000022
in the formula ηLAnd ηGRespectively storing energy charging efficiency and discharging efficiency for the power grid side; u shapec(k) Storing energy and charging state for the power grid side; u shaped(k) Is in a discharge state;
the power bound constraint is:
-PL.max≤P(k)≤PG.max
in the formula: pL.maxAnd PG.maxMaximum charging power and maximum discharging for power grid side energy storage respectivelyPower; p (k) real-time charge/discharge power for a period of k;
the electricity boundary constraint is:
Emin(k)≤E(k)≤Emax(k)
in the formula: emin(k) The minimum amount of power allowed to reach for the k period; emax(k) The maximum amount of power allowed to reach for the k time period;
Emax(k)＝min(Ef.max(k),Eb.max(k))
Emin(k)＝max(Ef.min(k),Eb.min(k))
Ef.max(k)＝min(E(k-Δt)+PL.max*Δt,Emax)
Ef.min(k)＝max(E(k-Δt)-PG.max*Δt,Emin)
Eb.max(k)＝min(Emax(k+Δt)+PGL(k)*Δt,Emax)
Eb.min(k)＝max(Emin(k+Δt)+PGL(k)*Δt,Emin)
in the formula: Δ t is a certain time period to be regulated, Emin(k) And Emax(k) Respectively representing the minimum and maximum electric quantity allowed to reach in the k-th time period, and E (k-1) represents the electric quantity in the k-1 time period and is a known quantity; ef.max(k)、Ef.min(k) Respectively representing a possible maximum or small amount of electricity determined by the amount of electricity and the maximum charge/discharge power at the previous time; eb.max(k)、Eb.min(k) Respectively represent the maximum expected electric quantity
Figure BDA0002327421990000034
Minimum expected amount of electricityE expStarting, reversely pushing the maximum or minimum electric quantity of the k time period obtained according to a subsequent time period electricity sending/utilization plan;
and E (k) or the area formed between p (k) and delta t is a charging/discharging feasible area of the energy stored on the power grid side.
Further, the evaluation of the up/down standby capacity of the energy storage at the power grid side comprises the following steps:
Figure BDA0002327421990000031
Figure BDA0002327421990000032
in the formula: rup(k) Adjusting up the reserve capacity for the energy storage of the grid side in the k time period; rdown(k) And regulating the reserve capacity for the energy storage of the grid side in the k time period.
Further, the energy storage charging state U of the power grid sidec(k) Is an integer variable of 0 or 1, Uc(k) 1 indicates that the stored energy is in a charging state, Uc(k) 0 represents that the stored energy is in a discharge state or a non-charge and non-discharge state;
power grid side energy storage discharge state Ud(k) Is an integer variable of 0 or 1, Ud(k) 1 indicates that the stored energy is in the discharge state, Ud(k) The stored energy is in a charging state or a non-charging and non-discharging state; u shapec(k)+Ud(k)≤1。
An evaluation device for power grid side energy storage emergency peak shaving standby capacity comprises:
the feasible region solving module is used for solving the feasible charging/discharging region of the energy storage of the power grid side according to the power generation or utilization plan and the electric quantity and power constraint of the energy storage of the power grid side;
and the standby capacity evaluation module is used for evaluating the up/down standby capacity of the energy storage of the power grid side according to the charging/discharging feasible region of the energy storage of the power grid side to obtain an evaluation result.
Further, the method for solving the charging/discharging feasible region of the energy storage at the power grid side comprises the following steps:
the electric quantity E (k) in any time period k is:
Figure BDA0002327421990000033
energy storage meter and loss charging/discharging power PGL(k) Comprises the following steps:
Figure BDA0002327421990000041
in the formula ηLAnd ηGRespectively storing energy charging efficiency and discharging efficiency for the power grid side; u shapec(k) Storing energy and charging state for the power grid side; u shaped(k) Is in a discharge state;
the power bound constraint is:
-PL.max≤P(k)≤PG.max
in the formula: pL.maxAnd PG.maxRespectively storing the maximum charging power and the maximum discharging power of the energy at the power grid side; p (k) real-time charge/discharge power for a period of k;
the electricity boundary constraint is:
Emin(k)≤E(k)≤Emax(k)
in the formula: emin(k) The minimum amount of power allowed to reach for the k period; emax(k) The maximum amount of power allowed to reach for the k time period;
Emax(k)＝min(Ef.max(k),Eb.max(k))
Emin(k)＝max(Ef.min(k),Eb.min(k))
Ef.max(k)＝min(E(k-Δt)+PL.max*Δt,Emax)
Ef.min(k)＝max(E(k-Δt)-PG.max*Δt,Emin)(10)
Eb.max(k)＝min(Emax(k+Δt)+PGL(k)*Δt,Emax)
Eb.min(k)＝max(Emin(k+Δt)+PGL(k)*Δt,Emin)
in the formula: Δ t is a certain time period to be regulated, Emin(k) And Emax(k) Respectively representing the minimum and maximum electric quantity allowed to reach in the k-th time period, and E (k-1) represents the electric quantity in the k-1 time period and is a known quantity; ef.max(k)、Ef.min(k) Respectively representing a possible maximum or small amount of electricity determined by the amount of electricity and the maximum charge/discharge power at the previous time; eb.max(k)、Eb.min(k) Respectively represent the maximum expected electric quantity
Figure BDA0002327421990000043
Minimum expected amount of electricityE expStarting, reversely pushing the maximum or minimum electric quantity of the k time period obtained according to a subsequent time period electricity sending/utilization plan;
and E (k) or the area formed between p (k) and delta t is a charging/discharging feasible area of the energy stored on the power grid side.
Further, the evaluation of the up/down standby capacity of the energy storage at the power grid side comprises the following steps:
Figure BDA0002327421990000042
Figure BDA0002327421990000051
in the formula: rup(k) Adjusting up the reserve capacity for the energy storage of the grid side in the k time period; rdown(k) And regulating the reserve capacity for the energy storage of the grid side in the k time period.
Further, the energy storage charging state U of the power grid sidec(k) Is an integer variable of 0 or 1, Uc(k) 1 indicates that the stored energy is in a charging state, Uc(k) 0 represents that the stored energy is in a discharge state or a non-charge and non-discharge state;
power grid side energy storage discharge state Ud(k) Is an integer variable of 0 or 1, Ud(k) 1 indicates that the stored energy is in the discharge state, Ud(k) The stored energy is in a charging state or a non-charging and non-discharging state; u shapec(k)+Ud(k)≤1。
The invention achieves the following beneficial effects:
according to the method, the emergency peak shaving standby capacity of the energy storage of the power grid side is quickly and accurately evaluated through the influence of the energy storage and power generation plan of the power grid side and the self electric quantity and power constraint.
Drawings
FIG. 1 is a flow chart of a method in an embodiment of the invention;
fig. 2 is a schematic diagram of an operational feasible region of grid-side energy storage in an embodiment of the present invention;
FIG. 3 is a diagram illustrating an effect of the embodiment of the present invention;
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1:
as shown in fig. 1, a method for evaluating the emergency peak shaving standby capacity of the energy storage at the power grid side includes the following steps:
step 1: determining an expected electric quantity range, an initial electric quantity point, a maximum electric quantity, a maximum charging/discharging power of the electric network side energy storage and a power generation or utilization plan which is arranged for the electric network side energy storage in advance by a dispatching mechanism;
step 2: solving a charging/discharging feasible region of the power grid side energy storage according to the power generation or power utilization plan and the electric quantity and power constraint of the power grid side energy storage;
fig. 2 is a schematic diagram of a feasible operation domain of the energy storage at the grid side, the upper half part of fig. 2 is a power-time plane (P-t plane), the lower half part is an electric quantity-time plane (E-t plane), a black solid line represents operation according to an energy storage and power generation or utilization plan, k represents a certain time period after dispersion, k-1 represents a previous time period of the time period k, k +1 represents a next time period of the time period k, and P (k) represents the charging/discharging power (i.e., the power generation or utilization plan) of the energy storage at the grid side in the time period k. The non-feasible region represents a state interval in which the energy storage power or the electric quantity cannot reach or the subsequent time interval power generation or power utilization plan cannot be met after the non-feasible region reaches, and conversely, the feasible region represents a state interval in which the energy storage power and the electric quantity can reach and the subsequent time interval power generation or power utilization plan can be met after the feasible region reaches. The feasible region is dynamic because of the continuous change of the initial state and the adjustment of the power distribution or utilization plan. The charge/discharge plan is only feasible if it is operated in a feasible domain.
In order to reduce complexity, discretizing a time axis, and dividing a scheduling period T into n time periods with the length of delta T;
the power bound constraint is:
Rup(k)≤PG.max-P(k) (1)
Rdown(k)≤PL.max+P(k) (2)
-PL.max≤P(k)≤PG.max(3)
in formulae (1) to (3): rup(k) The reserve capacity is adjusted for the period k, and the reserve capacity is provided by energy storage discharge or charging power reduction; rdown(k) For the down-regulation standby capacity of the k time period, the capacity is provided by energy storage charging or discharge power reduction; pL.maxAnd PG.maxThe maximum charging power and the maximum discharging power which are stored at the side of the power grid are positive values respectively; p (k) is the real-time charging/discharging power in k time period, and the real-time charging/discharging power is positive during discharging and negative during charging;
energy storage meter and loss charging/discharging power PGL(k) Comprises the following steps:
Figure BDA0002327421990000061
in the formula (4): ηLAnd ηGRespectively storing energy charging efficiency and discharging efficiency for the power grid side; u shapec(k) For the energy storage charging state of the power grid side, the variable is 0 or 1 integer, Uc(k) 1 indicates that the stored energy is in a charging state, Uc(k) 0 represents that the stored energy is in a discharge state or a non-charge and non-discharge state; u shapec(k)+Ud(k)≤1；Ud(k) In the discharge state, is an integer variable of 0 or 1, Ud(k) 1 indicates that the stored energy is in the discharge state, Ud(k) The stored energy is in a charging state or a non-charging and non-discharging state;
the electrical quantity e (k) for any period k can be written as:
Figure BDA0002327421990000062
PGL(k) and E (0) represents the energy storage meter and the lost charge/discharge power, and the initial energy storage electric quantity point on the power grid side. Where n denotes the total period, k ═ 1,2, …, n;
the existence of the electric quantity boundary is to ensure that the power generation (utilization) plan of the stored energy does not violate, and the electric quantity boundary dynamically changes at each moment and can be written as follows:
Emin(k)≤E(k)≤Emax(k) (6)
in the formula: emin(k) The minimum amount of power allowed to reach for the k period; emax(k) The maximum amount of power allowed to reach for the period k.
Emin(k) And Emax(k) Can be represented by formulas (7) to (12):
Emax(k)＝min(Ef.max(k),Eb.max(k)) (7)
Emin(k)＝max(Ef.min(k),Eb.min(k)) (8)
Ef.max(k)＝min(E(k-Δt)+PL.max*Δt,Emax) (9)
Ef.min(k)＝max(E(k-Δt)-PG.max*Δt,Emin) (10)
Eb.max(k)＝min(Emax(k+Δt)+PGL(k)*Δt,Emax) (11)
Eb.min(k)＝max(Emin(k+Δt)+PGL(k)*Δt,Emin) (12)
in the formula: Δ t is a certain time period to be regulated, Emin(k) And Emax(k) Respectively representing the minimum and maximum electric quantity allowed to reach in the k-th time period, and E (k-1) representing the electric quantity in the k-1 time period, which is a known quantity; ef.max(k)、Ef.min(k) Respectively representing the possible maximum or small electric quantity determined by the electric quantity and the maximum charging/discharging power at the previous moment, and the maximum or small electric quantity determined by the physical condition of the stored energy; eb.max(k)、Eb.min(k) Respectively represent the maximum expected electric quantity
Figure BDA0002327421990000073
Minimum expected amount of electricityE expInitially, the resulting k-period maximum or minimum possible power is back-extrapolated according to equations (11) (12) according to the subsequent-period power-generation schedule, which ensures that the subsequent-period power-generation schedule of stored energy proceeds as much as possible.
And E (k) or the area formed between p (k) and delta t is a charging/discharging feasible area of the energy stored on the power grid side.
Step 3, evaluating the up/down standby capacity of the energy storage of the power grid side according to the feasible region of the energy storage of the power grid side in each time period to obtain an evaluation result;
the evaluation calculation formula of the energy storage standby capacity at the power grid side is as follows,
Figure BDA0002327421990000071
Figure BDA0002327421990000072
in the formula: p (k) is the grid side energy storage charging/discharging power in the k time period; rup(k) Adjusting up the reserve capacity for the energy storage of the grid side in the k time period; rdown(k) The expression aims to calculate the upper and lower reserve capacities of the power grid side energy storage in each period by comparing the power boundary and the electric quantity boundary of the power grid side energy storage.
Example 2:
an evaluation device for power grid side energy storage emergency peak shaving standby capacity comprises:
the feasible region solving module is used for solving the feasible charging/discharging region of the energy storage of the power grid side according to the power generation or utilization plan and the electric quantity and power constraint of the energy storage of the power grid side;
and the standby capacity evaluation module is used for evaluating the up/down standby capacity of the energy storage of the power grid side according to the charging/discharging feasible region of the energy storage of the power grid side to obtain an evaluation result.
Further, the method for solving the charging/discharging feasible region of the energy storage at the power grid side comprises the following steps:
the electric quantity E (k) in any time period k is:
Figure BDA0002327421990000081
energy storage meter and loss charging/discharging power PGL(k) Comprises the following steps:
Figure BDA0002327421990000082
in the formula ηLAnd ηGRespectively storing energy charging efficiency and discharging efficiency for the power grid side; u shapec(k) Storing energy and charging state for the power grid side; u shaped(k) Is in a discharge state;
the power bound constraint is:
-PL.max≤P(k)≤PG.max
in the formula: pL.maxAnd PG.maxRespectively storing the maximum charging power and the maximum discharging power of the energy at the power grid side; p (k) real-time charge/discharge power for a period of k;
the electricity boundary constraint is:
Emin(k)≤E(k)≤Emax(k)
in the formula: emin(k) The minimum amount of power allowed to reach for the k period; emax(k) The maximum amount of power allowed to reach for the k time period;
Emax(k)＝min(Ef.max(k),Eb.max(k))
Emin(k)＝max(Ef.min(k),Eb.min(k))
Ef.max(k)＝min(E(k-Δt)+PL.max*Δt,Emax)
Ef.min(k)＝max(E(k-Δt)-PG.max*Δt,Emin) (10)
Eb.max(k)＝min(Emax(k+Δt)+PGL(k)*Δt,Emax)
Eb.min(k)＝max(Emin(k+Δt)+PGL(k)*Δt,Emin)
in the formula: Δ t is a certain time period to be regulated, Emin(k) And Emax(k) Respectively representing the minimum and maximum electric quantity allowed to reach in the k-th time period, and E (k-1) represents the electric quantity in the k-1 time period and is a known quantity; ef.max(k)、Ef.min(k) Respectively representing a possible maximum or small amount of electricity determined by the amount of electricity and the maximum charge/discharge power at the previous time; eb.max(k)、Eb.min(k) Respectively represent the maximum expected electric quantity
Figure BDA0002327421990000091
Minimum expected electric quantity EexpStarting, reversely pushing the maximum or minimum electric quantity of the k time period obtained according to a subsequent time period electricity sending/utilization plan;
and E (k) or the area formed between p (k) and delta t is a charging/discharging feasible area of the energy stored on the power grid side.
Further, the evaluation of the up/down standby capacity of the energy storage at the power grid side comprises the following steps:
Figure BDA0002327421990000092
Figure BDA0002327421990000093
in the formula: rup(k) Adjusting up the reserve capacity for the energy storage of the grid side in the k time period; rdown(k) And regulating the reserve capacity for the energy storage of the grid side in the k time period.
Further, the energy storage charging state U of the power grid sidec(k) Is an integer variable of 0 or 1, Uc(k) 1 indicates that the stored energy is in a charging state, Uc(k) 0 represents that the stored energy is in a discharge state or a non-charge and non-discharge state;
power grid side energy storage discharge state Ud(k) Is an integer variable of 0 or 1, Ud(k) 1 indicates that the stored energy is in the discharge state, Ud(k) The stored energy is in a charging state or a non-charging and non-discharging state; u shapec(k)+Ud(k)≤1。
Example 3:
based on the method provided by the invention, the standby capacity is calculated/adjusted up, the performance of the system is simulated when the dispatching instruction exceeds the capacity value, the delta t is 1h in the test, and the parameters of the tested small-sized energy storage power station are shown in a table 1.
TABLE 1 Small energy storage Power station parameters
Figure BDA0002327421990000094
Fig. 3 is a simulation result, and it can be seen from fig. 3 that, at a certain time (point 1:00 in fig. 3a and point 15:00 in fig. 3 b), a power regulation command issued by the power grid dispatching mechanism is received and regulation is started, the regulated power is equal to the calculated value of the evaluation method, the result shows that, after regulation according to the set value, the up/down standby capacity exists in a certain time period within the regulation period and is just 0, and the output of the power generation or power utilization plan originally arranged by the dispatching mechanism can be continued in the subsequent time period. If the power adjustment amount in the dispatching instruction is continuously increased, the energy storage power station cannot meet the dispatching instruction. Therefore, the calculated spare capacity of the algorithm is accurate.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (8)

1. A method for evaluating the emergency peak regulation standby capacity of energy storage at the side of a power grid is characterized by comprising the following steps: comprises the following steps of (a) carrying out,
solving a charging/discharging feasible region of the power grid side energy storage according to the power generation or power utilization plan and the electric quantity and power constraint of the power grid side energy storage;
and evaluating the up/down standby capacity of the energy storage at the power grid side according to the charging/discharging feasible region of the energy storage at the power grid side to obtain an evaluation result.
2. The method for evaluating the emergency peak-shaving standby capacity of the energy storage at the power grid side according to claim 1, characterized by comprising the following steps: the method for solving the charging/discharging feasible region of the energy storage at the power grid side comprises the following steps:
the electric quantity E (k) in any time period k is:
Figure FDA0002327421980000011
energy storage meter and loss charging/discharging power PGL(k) Comprises the following steps:
Figure FDA0002327421980000012
in the formula ηLAnd ηGRespectively storing energy charging efficiency and discharging efficiency for the power grid side; u shapec(k) Storing energy and charging state for the power grid side; u shaped(k) Is in a discharge state;
the power bound constraint is:
-PL.max≤P(k)≤PG.max
in the formula: pL.maxAnd PG.maxRespectively storing the maximum charging power and the maximum discharging power of the energy at the power grid side; p (k) real-time charge/discharge power for a period of k;
the electricity boundary constraint is:
Emin(k)≤E(k)≤Emax(k)
in the formula: emin(k) The minimum amount of power allowed to reach for the k period; emax(k) The maximum amount of power allowed to reach for the k time period;
Emax(k)＝min(Ef.max(k),Eb.max(k))
Emin(k)＝max(Ef.min(k),Eb.min(k))
Figure FDA0002327421980000021
in the formula: Δ t is a certain time period to be regulated, Emin(k) And Emax(k) Respectively representing the minimum and maximum electric quantity allowed to reach in the k-th time period, and E (k-1) represents the electric quantity in the k-1 time period and is a known quantity; ef.max(k)、Ef.min(k) Respectively representing a possible maximum or small amount of electricity determined by the amount of electricity and the maximum charge/discharge power at the previous time; eb.max(k)、Eb.min(k) Respectively represent the maximum expected electric quantity
Figure FDA0002327421980000022
Minimum expected amount of electricityE expStarting, reversely pushing the maximum or minimum electric quantity of the k time period obtained according to a subsequent time period electricity sending/utilization plan;
and E (k) or the area formed between p (k) and delta t is a charging/discharging feasible area of the energy stored on the power grid side.
3. The method for evaluating the emergency peak-shaving standby capacity of the energy storage at the power grid side according to claim 2, characterized by comprising the following steps: evaluating the up/down standby capacity of the energy storage at the power grid side, comprising the following steps:
Figure FDA0002327421980000023
Figure FDA0002327421980000024
in the formula: rup(k) Adjusting up the reserve capacity for the energy storage of the grid side in the k time period; rdown(k) And regulating the reserve capacity for the energy storage of the grid side in the k time period.
4. The method for evaluating the emergency peak-shaving standby capacity of the energy storage at the power grid side according to claim 2, characterized by comprising the following steps:
power grid side energy storage charging state Uc(k) Is an integer variable of 0 or 1, Uc(k) 1 indicates that the stored energy is in a charging state, Uc(k) 0 represents that the stored energy is in a discharge state or a non-charge and non-discharge state;
power grid side energy storage discharge state Ud(k) Is an integer variable of 0 or 1, Ud(k) 1 indicates that the stored energy is in the discharge state, Ud(k) The stored energy is in a charging state or a non-charging and non-discharging state; u shapec(k)+Ud(k)≤1。
5. The utility model provides an evaluation device of emergent peak shaver stand-by ability of electric wire netting side energy storage which characterized in that: the method comprises the following steps:
the feasible region solving module is used for solving the feasible charging/discharging region of the energy storage of the power grid side according to the power generation or utilization plan and the electric quantity and power constraint of the energy storage of the power grid side;
and the standby capacity evaluation module is used for evaluating the up/down standby capacity of the energy storage of the power grid side according to the charging/discharging feasible region of the energy storage of the power grid side to obtain an evaluation result.
6. The evaluation device for the power grid side energy storage emergency peak shaving standby capacity according to claim 5, characterized in that: the method for solving the charging/discharging feasible region of the energy storage at the power grid side comprises the following steps:
the electric quantity E (k) in any time period k is:
Figure FDA0002327421980000031
energy storage meter and loss charging/discharging power PGL(k) Comprises the following steps:
Figure FDA0002327421980000032
in the formula ηLAnd ηGRespectively storing energy charging efficiency and discharging efficiency for the power grid side; u shapec(k) Storing energy and charging state for the power grid side; u shaped(k) Is in a discharge state;
the power bound constraint is:
-PL.max≤P(k)≤PG.max
in the formula: pL.maxAnd PG.maxRespectively storing the maximum charging power and the maximum discharging power of the energy at the power grid side; p (k) real-time charge/discharge power for a period of k;
the electricity boundary constraint is:
Emin(k)≤E(k)≤Emax(k)
in the formula: emin(k) The minimum amount of power allowed to reach for the k period; emax(k) The maximum amount of power allowed to reach for the k time period;
Emax(k)＝min(Ef.max(k),Eb.max(k))
Emin(k)＝max(Ef.min(k),Eb.min(k))
Ef.max(k)＝min(E(k-Δt)+PL.max*Δt,Emax)
Ef.min(k)＝max(E(k-Δt)-PG.max*Δt,Emin)
Eb.max(k)＝min(Emax(k+Δt)+PGL(k)*Δt,Emax)
Eb.min(k)＝max(Emin(k+Δt)+PGL(k)*Δt,Emin)
in the formula: Δ t is a certain time period to be regulated, Emin(k) And Emax(k) Respectively representing the minimum and maximum electric quantity allowed to reach in the k-th time period, and E (k-1) represents the electric quantity in the k-1 time period and is a known quantity; ef.max(k)、Ef.min(k) Respectively representing a possible maximum or small amount of electricity determined by the amount of electricity and the maximum charge/discharge power at the previous time; eb.max(k)、Eb.min(k) Respectively represent the maximum expected electric quantity
Figure FDA0002327421980000041
Minimum expected electric quantity EexpStarting, reversely pushing the maximum or minimum electric quantity of the k time period obtained according to a subsequent time period electricity sending/utilization plan;
and E (k) or the area formed between p (k) and delta t is a charging/discharging feasible area of the energy stored on the power grid side.
7. The evaluation device for the power grid side energy storage emergency peak shaving standby capacity according to claim 6, characterized in that: evaluating the up/down standby capacity of the energy storage at the power grid side, comprising the following steps:
Figure FDA0002327421980000042
Figure FDA0002327421980000043
in the formula: rup(k) Adjusting up the reserve capacity for the energy storage of the grid side in the k time period; rdown(k) And regulating the reserve capacity for the energy storage of the grid side in the k time period.
8. The evaluation device for the power grid side energy storage emergency peak shaving standby capacity according to claim 6, characterized in that:
power grid side energy storage charging state Uc(k) Is an integer variable of 0 or 1, Uc(k) 1 indicates that the stored energy is in a charging state, Uc(k) 0 represents that the stored energy is in a discharge state or a non-charge and non-discharge state;
power grid side energy storage discharge state Ud(k) Is an integer variable of 0 or 1, Ud(k) 1 indicates that the stored energy is in the discharge state, Ud(k) The stored energy is in a charging state or a non-charging and non-discharging state; u shapec(k)+Ud(k)≤1。
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CN115528689A (en) * 2022-11-28 2022-12-27 南京邮电大学 Agricultural greenhouse spare capacity assessment method considering light supplement requirement
CN117691640A (en) * 2023-12-13 2024-03-12 国网青海省电力公司清洁能源发展研究院 Evaluation method and device for power grid side energy storage emergency peak regulation standby capability
CN118036833A (en) * 2024-04-15 2024-05-14 山东建筑大学 Method and system for optimizing regional comprehensive energy system operation based on multilayer game

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CN110311396A (en) * 2019-07-30 2019-10-08 太原理工大学 A kind of alternating current-direct current mixing micro-capacitance sensor hybrid energy-storing capacity configuration optimizing method
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CN108493972A (en) * 2018-03-21 2018-09-04 南瑞集团有限公司 A kind of appraisal procedure of electric vehicle instantaneous stand-by ability
CN110311396A (en) * 2019-07-30 2019-10-08 太原理工大学 A kind of alternating current-direct current mixing micro-capacitance sensor hybrid energy-storing capacity configuration optimizing method
CN110504701A (en) * 2019-08-22 2019-11-26 西安热工研究院有限公司 A kind of battery energy storage system dispatching method considering dynamic efficiency for charge-discharge

Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN115528689A (en) * 2022-11-28 2022-12-27 南京邮电大学 Agricultural greenhouse spare capacity assessment method considering light supplement requirement
CN117691640A (en) * 2023-12-13 2024-03-12 国网青海省电力公司清洁能源发展研究院 Evaluation method and device for power grid side energy storage emergency peak regulation standby capability
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