CN108667121B - Method, device and system for determining capacity of emergency power supply system - Google Patents

Method, device and system for determining capacity of emergency power supply system Download PDF

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CN108667121B
CN108667121B CN201710205783.0A CN201710205783A CN108667121B CN 108667121 B CN108667121 B CN 108667121B CN 201710205783 A CN201710205783 A CN 201710205783A CN 108667121 B CN108667121 B CN 108667121B
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energy storage
emergency
storage battery
power supply
emergency power
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CN108667121A (en
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牛建娜
周友
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China Energy Investment Corp Ltd
National Institute of Clean and Low Carbon Energy
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China Energy Investment Corp Ltd
National Institute of Clean and Low Carbon Energy
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J9/00Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
    • H02J9/04Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
    • H02J9/06Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
    • H02J9/062Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems for AC powered loads

Abstract

The application discloses a method, a device and a system for determining the capacity of an emergency power supply system, which are used for solving the problem that the capacity of the emergency power supply system cannot be configured according to the demand of a power utilization system in the prior art. The method comprises the steps of determining the attribute of an emergency load in the power utilization system with the power distribution network failed; the emergency load is a load needing emergency power supply in the loads of the power utilization system; determining the type of an energy storage battery used for providing emergency power supply in the emergency power supply system based on the attribute of the emergency load; the emergency power supply system is used for providing emergency power supply for the power utilization system; determining the configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery and an objective function; the objective function is a function for calculating the configuration capacity of the emergency power supply system.

Description

Method, device and system for determining capacity of emergency power supply system
Technical Field
The application relates to the technical field of energy storage batteries, in particular to a method, a device and a system for determining the capacity of an emergency power supply system.
Background
The coal mine system comprises a plurality of electric devices, and the sum of the total power consumed by the electric devices is called the total load of the coal mine system. In order to prevent a power distribution network of a coal mine system from being out of order and affecting the normal operation of the coal mine system, an emergency power supply system for providing emergency power supply for the coal mine system is generally configured. The emergency power supply system comprises an energy storage battery and an energy storage inverter. When the power distribution network operates normally, the energy storage inverter charges the energy storage battery; when the power distribution network breaks down, the energy storage battery provides emergency power supply for the coal mine system through the energy storage inverter.
In order to ensure that the emergency power system can provide enough power to the coal mine system, the emergency power system needs to be configured in capacity. However, in the current configuration schemes, most of the qualitative analysis depends on abundant practical experience of a predictor and subjective judgment and deduces the influence of various parameters of analysis on the capacity configuration scheme of the energy storage battery by means of manual table look-up according to experience, the nature and development trend of things cannot be scientifically and accurately comprehensively analyzed according to the actual demand of the coal mine system, and the capacity of the emergency power supply system cannot be reasonably configured, so that the safe and reliable operation of the coal mine system is guaranteed.
Disclosure of Invention
The embodiment of the application provides a method for determining the capacity of an emergency power supply system, which is used for solving the problem that the capacity of the emergency power supply system cannot be configured according to the actual requirement of an electricity utilization system in the prior art.
The embodiment of the application further provides an emergency power supply system capacity determining device, and the device is used for solving the problem that the capacity of the emergency power supply system cannot be configured according to the demand of the power utilization system in the prior art.
The embodiment of the application further provides an emergency power supply system, and the emergency power supply system is used for solving the problem that the capacity of the emergency power supply system cannot be configured according to the requirement of the power utilization system in the prior art.
The embodiment of the application also provides an emergency power application system, which is used for solving the problem that the capacity of an emergency power supply system cannot be configured according to the requirement of a power utilization system in the prior art.
The embodiment of the application adopts the following technical scheme:
an emergency power system capacity determination method, the method comprising:
determining the attribute of an emergency load in a power utilization system with a fault of a power distribution network; the emergency load is a load needing emergency power supply in the loads of the power utilization system;
determining the type of an energy storage battery used for providing emergency power supply in the emergency power supply system based on the attribute of the emergency load; the emergency power supply system is used for providing emergency power supply for the power utilization system;
determining the configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery and an objective function; the objective function is a function for calculating the configuration capacity of the emergency power supply system.
An emergency power system capacity determination apparatus, the apparatus comprising:
the load attribute determining module is used for determining the attribute of the emergency load in the power utilization system with the fault of the power distribution network; the emergency load is a load needing emergency power supply in the loads of the power utilization system;
the battery type determining module is used for determining the type of an energy storage battery used for providing emergency power supply in the emergency power supply system based on the attribute of the emergency load; the emergency power supply system is used for providing emergency power supply for the power utilization system;
the configuration capacity determining module is used for determining the configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery and an objective function; the objective function is a function for calculating the configuration capacity of the emergency power supply system.
An emergency power supply system, the system comprising:
an energy storage battery pack comprising at least one energy storage battery;
in the device for determining the capacity of the emergency power supply system, the capacity of the emergency power supply system is electrically connected with the energy storage battery and is used for configuring the capacity for the energy storage battery pack;
and the energy storage inverter is electrically connected with the energy storage battery pack and used for providing emergency power supply for emergency loads in the power utilization system through the energy storage inverter when the power distribution network fails.
An emergency electricity application system, the system comprising:
an electricity utilization system;
the emergency power supply system is electrically connected with the power utilization system and used for providing emergency power supply for emergency loads in the power utilization system when the power distribution network fails.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
according to the method and the device, the attribute of the emergency load in the power consumption system with the power distribution network having faults is determined, the type of the energy storage battery for providing emergency power supply in the emergency power supply system is determined according to the attribute of the emergency load, the configuration capacity of the emergency power supply system is determined according to the type of the energy storage battery and the objective function, the requirement of the emergency load capable of maintaining normal operation of the power consumption system is considered, the influence of each load in the power consumption system on the capacity configuration of the energy storage battery is analyzed in a non-qualitative mode, reasonable configuration of the emergency power supply system is achieved, and the problem that the capacity of the emergency power supply system cannot be configured according to the.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of a method for determining capacity of an emergency power supply system according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a process of optimizing configuration capacity of an emergency power supply system by using a particle swarm optimization according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of another process of optimizing configuration capacity of an emergency power supply system by using a particle swarm optimization according to the method for determining capacity of an emergency power supply system provided in the embodiment of the present application;
fig. 4 is a flowchart illustrating an emergency power system capacity determination method according to an embodiment of the present application, which optimizes a configuration capacity of an emergency power system by using a genetic algorithm;
fig. 5 is a schematic flow chart of an application of the emergency power system capacity determining method in practice according to the embodiment of the present application;
fig. 6 is a schematic structural diagram of an emergency power supply system capacity determining apparatus according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an emergency power supply system according to an embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an emergency power application system according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Example 1
An emergency power system capacity determination method is provided in embodiment 1 of the present application, and an execution subject of the method may be a terminal device, for example, a computer. For the convenience of clearly describing the method provided in embodiment 1 of the present application, the method provided in the embodiment of the present application is described in detail below by taking an execution subject of the method as a terminal device as an example.
Those skilled in the art will appreciate that the main body of the method is a terminal device, which is only an exemplary illustration, and is not a specific limitation to the main body of the method.
An implementation flow diagram of a method for determining the capacity of an emergency power supply system provided in embodiment 1 is shown in fig. 1, and the method includes the following steps:
step 101, determining the property of emergency load in the power utilization system with the power distribution network having faults.
The distribution network described herein can provide electrical power to a power consumption system. When the distribution network breaks down, the power consumption system can not work normally, and the condition that leads to the distribution network to break down often has a lot of, for example, when the distribution network self component breaks down, just can lead to the distribution network can not provide the electric energy for the power consumption system, perhaps, when the circuit that communicates between distribution network and the power consumption system breaks down, also can lead to the distribution network can not provide the electric energy for the power consumption system.
When the power distribution network fails, the emergency power supply system can supply electric energy to the power utilization system. Since the power consumption system often includes a plurality of loads, in the emergency power supply, in order to avoid the energy consumption of the emergency power supply system being too fast, only the load capable of maintaining the normal operation of the power consumption system may be provided to the power consumption system. For convenience of the following description, among the loads of the power consumption system, a load capable of maintaining a normal operation of the power consumption system is referred to as an emergency load. The emergency load in this application is a load that needs emergency power supply among the loads of the power system. The load may be a consumer in an electrical system, such as a light, a motor, a computer, etc.
Then, the electric energy required by the emergency load during normal operation may be predetermined, and specifically, the attribute of the emergency load may be determined, and the attribute of the emergency load may include information of power, standby time, quantity, and the like of the emergency load.
According to the embodiment of the application, the demand of the emergency load capable of maintaining normal operation of the power utilization system is fully considered, and the influence of each load on the capacity configuration of the energy storage battery in the power utilization system is not analyzed qualitatively, so that reasonable configuration of the emergency power supply system is realized, and the problem that the capacity of the emergency power supply system cannot be configured according to the actual demand of the power utilization system in the prior art is solved.
And 102, determining the type of an energy storage battery used for providing emergency power supply in the emergency power supply system based on the attribute of the emergency load.
If the attributes of the emergency load comprise: determining the type of the energy storage battery according to the power of the emergency load, the standby power time of the emergency load and the number of the emergency loads, wherein the type of the energy storage battery is specifically realized as follows:
determining the total power of the energy storage battery capable of supplying power for the power utilization system based on the power of each emergency load and the number of the emergency loads in the power utilization system; determining the time for which the energy storage battery can supply power for the power utilization system based on the power supply time of each emergency load; the type of the energy storage battery is determined based on the total power of the energy storage battery and the power preparation time of the energy storage battery (the type of the energy storage battery can comprise a physical energy storage battery, an electromagnetic energy storage battery, an electrochemical energy storage battery and a phase change energy storage battery). Of course, in the present application, the specific determination manner for determining the type of the energy storage battery based on the property of the emergency load is not limited to the above manner, and the embodiment of the present application is not particularly limited.
And 103, determining the configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery and a target function (or an energy storage battery system capacity algorithm function).
In this step, according to the attribute of the emergency load determined in step 101 and according to the type of the energy storage battery determined in step 102, an objective function is solved to determine the configuration capacity of the emergency power supply system, where the objective function may be a function for calculating the configuration capacity of the emergency power supply system.
In order to obtain reasonable configuration capacity of the emergency power system and ensure safe and reliable operation of the emergency power system in the life cycle, step 103 may include the following steps:
and S1, solving the objective function according to the attributes of the emergency load and the type of the energy storage battery to obtain a solving result.
As can be seen from the above step 102, the type of the energy storage battery can be determined according to the power of the emergency load, the standby time of the emergency load, and the number of the emergency loads.
According to the type of the energy storage battery, the redundancy parameters, efficiency parameters, chemical and physical characteristic parameters of the energy storage battery and the like of the emergency power system composed of the energy storage battery can be determined, which can be used to characterize the system characteristics of the emergency energy system and the characteristics of each main unit in the system, for example, the parameters include but are not limited to: the environment correction coefficient and the redundancy coefficient of the energy storage battery, the efficiency of an emergency power supply system and the discharge depth of the energy storage battery.
Therefore, according to the attribute of the emergency load and the type of the energy storage battery, the objective function is solved to obtain a solving result, which may specifically be:
and solving the objective function according to the power of the emergency load, the power preparation time of the emergency load and the number of the emergency loads, and determining an environmental correction coefficient, a redundancy coefficient, the efficiency of an emergency power supply system and the discharge depth of the energy storage battery, so as to obtain a solving result.
In the embodiment of the present application, the objective function may adopt the following formula:
Figure GDA0002749469430000071
wherein, WESSObtaining a solution result, namely the configuration capacity of the emergency power supply system; i is the number of the emergency load of the power utilization system, and the value range of i is [1, n](ii) a n is the total number of loads of the power utilization system; piThe power of the ith emergency load of the power utilization system; t is tiThe power supply time of the ith emergency load is the power supply time of the ith emergency load; ktAn environmental correction factor, such as a temperature correction factor, for the energy storage battery; ksRedundancy coefficients for the emergency power system, such as redundancy safety factors; DOD(t)The discharge depth of the energy storage battery at the time t is obtained; etaoutThe efficiency of the emergency power supply system comprises the energy conversion efficiency of the battery body, the efficiency of the energy storage converter, the efficiency of the high-low voltage transformer, the efficiency of the high-low voltage line transmission, the efficiency of auxiliary equipment and the like. For example, etaoutThe calculation formula may be as follows: etaout=ηBattery with a battery cell·ηDC,cable·ηCurrent transformer·ηLV·ηTransformer device·ηHV·ηAV·ηAux;ηBattery with a battery cellIs the efficiency of the energy storage cell, ηDC,cableIs the direct current line transmission efficiency, eta, of the energy storage cellCurrent transformerIs the efficiency of the converter, ηLVFor the low-voltage line transmission efficiency, eta, of said converterTransformer deviceIs the efficiency of the transformer, ηHVIs the high voltage line transmission efficiency, η, of said transformerAuxFor efficiency of auxiliary equipment, ηAVA cable line transmission efficiency for the auxiliary equipment.
Therefore, the emergency power supply system adopts the objective function, and the design redundancy of the emergency power supply system, the discharge temperature coefficient, the self-discharge characteristic, the energy storage battery conversion efficiency, the energy storage inverter conversion efficiency, the energy storage battery discharge depth and other factors of the energy storage battery system are fully considered, so that the reliability of the emergency power supply system is enhanced, and the operation safety of the energy storage battery is ensured.
And S2, correcting the solving result according to the constraint condition of the objective function to obtain the configuration capacity of the emergency power supply system.
And the constraint condition of the objective function is used for constraining the objective function so as to correct a solving result obtained by solving the objective function.
In order to obtain the configuration capacity of the emergency power supply system, and meet the requirements of reliable operation of the power utilization system and/or low cost of the emergency power supply system and/or long service life of the energy storage battery, in the embodiment of the present application, the constraints of the objective function include: at least one of a depth of discharge of the energy storage battery, a power loss rate of the emergency power system, and a cost of the emergency power system.
The following is presented for the details of the constraints of the objective function:
first, the constraint of the objective function includes the depth of discharge of the energy storage cell.
The discharge depth of the energy storage battery refers to the percentage of the capacity discharged by the energy storage battery in the rated capacity of the energy storage battery in the use process of the energy storage battery.
The discharge depth of the energy storage battery is closely related to the charge life of the energy storage battery. When the discharging depth of the energy storage battery is deeper, the charging life of the energy storage battery is shorter, so that the service life of the energy storage battery is shorter. Therefore, the discharge depth of the energy storage battery is used as the constraint condition of the objective function to correct the configuration capacity (namely, the solving result) of the emergency power supply system obtained through calculation, and the service life of the energy storage battery can be effectively prolonged.
And correcting the solving result according to the depth of discharge of the energy storage battery, and specifically introducing according to two working states of the energy storage battery:
in the charging process of the energy storage battery, the discharging depth of the energy storage battery at the time t is related to the discharging depth of the energy storage battery at the time t-1, the self-discharging rate of the energy storage battery, the charging efficiency of the energy storage battery and the charging power of the energy storage battery. Therefore, the depth of discharge of the energy storage battery at time t can be expressed as:
Figure GDA0002749469430000081
in the discharging process of the energy storage battery, the discharging depth of the energy storage battery at the moment t is related to the discharging depth of the energy storage battery at the moment t-1, the self-discharging rate of the energy storage battery, the discharging efficiency of the energy storage battery and the discharging power of the energy storage battery. Therefore, the depth of discharge of the energy storage battery at time t can be expressed as:
Figure GDA0002749469430000082
wherein, WESSIs the objective function; sigma is the self-discharge rate of the energy storage battery; pdcIs the discharge power of the energy storage battery; Δ t is the discharge time of the energy storage battery; etadcThe discharge efficiency of the energy storage battery; pchCharging power for the energy storage battery; etachAnd the charging efficiency of the energy storage battery is obtained.
In order to improve the service life of the energy storage battery under the condition of meeting the low cost of the energy storage battery, the discharge depth of the energy storage battery can meet the following requirements in the embodiment of the application: DODmin≤DOD≤80%×DODmax(ii) a Wherein, DODminThe minimum depth of discharge allowed for the energy storage cell; DODmaxThe maximum depth of discharge allowed for the energy storage cell.
However, in an extremely cold environment, the influence of low temperature on the energy storage battery is generally considered, and the discharge depth of the energy storage battery can be appropriately reduced to enlarge the configuration capacity of the energy storage battery, so as to improve the service life of the energy storage battery. Certainly, in practical application, for different use environments, the discharge depth of the energy storage battery needs to be adjusted according to actual conditions, and the embodiment of the application is not specifically limited.
Second, the constraint of the objective function includes a power loss rate of the emergency power system.
The power loss rate of the emergency power supply system refers to the probability that the electric quantity provided by the energy storage battery in the emergency power supply system in the accumulated power failure time of the power supply system is smaller than the electric quantity required by the emergency load of the power supply system, and is used for measuring the reliability of emergency power supply for the power supply system in a certain time (for example, 365 × 24-8760 hours in the following example) after the configuration capacity of the emergency power supply system is configured.
In order to meet the electric quantity requirement of emergency charges in an electric system in the period that a power distribution network fails, and improve the reliability of emergency power supply of the electric system by an energy storage battery, the power loss rate of an emergency power supply system is used as the constraint condition of a target function in the embodiment of the application.
According to the power loss rate of the emergency power supply system, correcting the solving result, which specifically can be: the power loss rate of the emergency power supply system is a preset value, and under the condition that the configuration target that the power loss rate of the energy storage battery is the preset value is met, the power loss rate formula of the emergency power supply system is modified according to the following power loss rate formula, wherein the power loss rate formula of the emergency power supply system can be as follows:
Figure GDA0002749469430000091
wherein, LSP (t) ═ Pload(t)·Δt'-WESS·(SOC(t-1)-SOCmin)·ηout
Figure GDA0002749469430000092
SOC(t-1)=1-DOD(t-1);ηout·WESS(t)≥Pload(t)·Δt';RLPSPThe power loss rate of the emergency power supply system is; SOC(t-1)The state of charge of the energy storage battery at the moment t-1 is obtained; SOCminThe minimum state of charge of the energy storage battery at the moment t-1 is obtained;
delta t' is the power-down time of the emergency power supply system; ploadIs needed in the power utilization systemThe sum of the capacities of the loads of the emergency power supply; DOD(t-1)The discharge depth of the energy storage battery at the time t-1 is obtained;
wherein the content of the first and second substances,
Figure GDA0002749469430000101
and the energy storage battery is charged along with the SOC(t)Increase of (2) voltage U across the energy storage cellBThe number of the devices is increased; during the discharging process of the energy storage battery, along with the SOC(t)Reduction of voltage U across the energy storage cellBAnd then decreases. In order to prevent the voltage U at two ends of the energy storage batteryBIncrease to the cutoff charging voltage UchWhen the energy storage battery is charged, the energy storage battery stops charging; and for preventing the voltage U across the energy storage batteryBDown to the cut-off discharge voltage UdcAnd when the energy storage battery is discharged, the energy storage battery stops discharging. Therefore, the voltage U of the energy storage batteryBThe requirements are satisfied: u shapech≤UB≤Udc. Meanwhile, in order to ensure the normal work of the energy storage countercurrent device in the emergency power supply system, the direct-current side voltage U of the energy storage countercurrent devicePCS,DCThe requirements are satisfied: u shapePCS,min≤UPCS,DC≤UPCS,max. The voltage at the direct current side of the energy storage inverter is also the voltage U at two ends of the energy storage batteryB. Therefore, according to the power loss rate of the emergency power supply system, the boundary condition for determining the voltage of the energy storage battery comprises:
Figure GDA0002749469430000102
wherein, UBIs the voltage across the energy storage cell; u shapechCharging voltage of the energy storage battery; u shapedcIs the discharge voltage of the energy storage battery; u shapePCS,DCIs a direct current side voltage; u shapePCS,minIs the lower voltage limit of the direct current side; u shapePCS,maxIs the upper voltage limit on the dc side.
In order to avoid high-rate charge-discharge to energy storage battery's life's influence, effectively protect energy storage battery, improve energy storage battery's life, this application embodiment can confirm through the power according to finally obtaining energy storage battery to and the boundary condition of above-mentioned energy storage battery both ends voltage the boundary condition of energy storage battery current, the boundary condition of energy storage battery current includes:
Figure GDA0002749469430000103
wherein, Ich,maxLimiting current for charging of the battery; i isdc,maxThe current is limited for the discharge of the battery.
Third, the constraints of the objective function include the economic cost of the emergency power system.
And the economic cost of the emergency power supply system comprises initial investment cost, operation and maintenance cost and disposal cost. The initial investment cost mainly comprises the investment cost of an energy storage battery, an energy storage inverter and auxiliary equipment, the disposal cost has a direct relation with the construction scale of the emergency power supply system, and the maintenance cost mainly comprises fixed operation maintenance cost and maintenance cost.
The economic cost of the emergency power supply system is calculated according to the following mode:
Ctotal=Cv+Co+Cd=(kbWESS+kpPESS+kaWESS)+koPESS+kdWESS
wherein, WESSObtaining a solution result; pESSIs the power of the energy storage battery; cvFor the investment costs of the emergency power supply system, CoFor the operating costs of the emergency power supply system, CdDisposal cost for the emergency power supply system; k is a radical ofbIs the price per unit energy (yuan/KWh), k of the energy storage cellpFor the unit power price (unit/KWh), k of the energy-storage inverteraAs the investment cost coefficient (yuan/KWh), k of the auxiliary equipmentoFor the operating cost coefficient (yuan/KWh), k of the energy storage celldIs the disposal cost factor (yuan/KWh) of the energy storage battery.
According to the embodiment of the application, the constraint condition of the economic cost of the emergency power supply system is adopted, so that the configuration scheme with the lowest cost is selected on the premise that the configured energy storage battery meets the safe operation of the power utilization system, and the cost is saved.
Furthermore, under the condition that the constraint conditions include the depth of discharge of the energy storage battery, the power loss rate of the emergency power supply system and the cost of the emergency power supply system, the requirements of reliable operation of the power utilization system, low cost of the emergency power supply system and long service life of the energy storage battery can be met simultaneously.
In order to make the corrected configuration capacity be the optimal configuration capacity, in this embodiment of the application, the correcting the solution result according to the constraint condition of the objective function may specifically include: and correcting the solving result of the objective function by adopting a particle swarm algorithm.
The Particle Swarm Optimization algorithm is also called a Particle Swarm Optimization algorithm or a bird Swarm foraging algorithm (PSO), and the Particle Swarm Optimization algorithm (PSO) adopted in the application has at least the following two advantages: on one hand, based on the constraint condition of the objective function in the above embodiment, the optimal configuration capacity can be obtained; on the other hand, has higher convergence rate. The following are exemplified:
taking an electric system as an example of a coal mine system, it is assumed that basic parameters of an energy storage battery of an emergency power supply system are shown in table 1:
TABLE 1
Parameters of battery Numerical value
Coal mine important load power 923
Accumulator rated capacity/(Ah) 500
Rated voltage/V of accumulator 2
Depth of discharge of accumulator 0.6
Efficiency of battery charging 0.95
Discharge efficiency of accumulator 0.92
Cycle life of accumulator 1800
Accumulator price (Yuan) 800
Inverter and power cable integrated efficiency 0.9
Example 1, a particle swarm algorithm is applied to optimize the configuration capacity of the emergency power supply system, and under the condition that the configuration target that the power loss rate of the emergency power supply system is less than or equal to 0.01 percent is met: the optimization curve of the configuration capacity of the emergency power supply system is shown in fig. 2, and the optimization result of the configuration capacity of the emergency power supply system is shown in table 2:
TABLE 2
Parameters of battery Numerical value
Accumulator battery capacity (KWh) 2688
Number of iterations 76
RLPSP 0.0095%
Annual average minimum cost (Wanyuan) 1430
And 2, optimizing the configuration capacity of the emergency power supply system by using a particle swarm algorithm, and under the condition that the configuration target that the power loss rate of the emergency power supply system is less than or equal to 0.02 percent is met: the optimization curve of the configuration capacity of the emergency power supply system is shown in fig. 3, and the optimization result of the configuration capacity of the emergency power supply system is shown in table 3:
TABLE 3
Figure GDA0002749469430000121
Figure GDA0002749469430000131
In the embodiment of the application, in the process of optimizing the configuration capacity of the emergency power supply system by adopting the particle swarm optimization, the safe operation of the power utilization system is preferentially considered, and the capacity configuration of the energy storage battery under the condition of the lowest life cycle cost is searched on the premise that the power loss rate of the emergency power supply system meets the load of the power utilization system and the operation requirement of the power utilization system. When the capacity of the energy storage battery is configured, the capacity of the energy storage battery is reasonably configured according to the constraint conditions such as the discharge depth of the energy storage battery and the cost of an emergency power utilization system, so that the safe and reliable operation of the energy storage battery in the service life is guaranteed. Therefore, the configuration capacity of the emergency power supply system is corrected by adopting the particle swarm optimization based on the constraint condition of the objective function, the limitation that only initial investment is emphasized in economic optimization of the traditional energy storage battery is overcome, and the method is more suitable for actual operation working conditions.
Of course, in the embodiment of the present application, the correcting the solution result according to the constraint condition of the objective function may specifically include: and correcting the solving result of the objective function by adopting a genetic algorithm.
The Genetic Algorithm (Genetic Algorithm) is a calculation model of a biological evolution process simulating natural selection and Genetic mechanism of Darwinian biological evolution theory, and is a method for searching an optimal solution by simulating the natural evolution process.
In specific implementation, as shown in fig. 4, the process of calculating the configuration capacity of the emergency power supply system by using a genetic algorithm is as follows:
step 401, inputting emergency load attributes and parameters of an energy storage battery;
wherein the attributes of the emergency load comprise: the power of an emergency load, the standby time of the emergency load and the number of the emergency loads; the parameters of the energy storage battery comprise: temperature correction coefficient, redundant safety factor, efficiency and depth of discharge of energy storage battery.
Step 402, initializing a particle swarm;
the method specifically comprises the following steps: setting an evolution algebra counter, setting a maximum evolution algebra, and randomly generating M individuals as initialization particle swarms; m is a positive integer.
Step 403, setting constraint conditions of each particle;
wherein the constraint condition comprises: the discharge depth of the energy storage battery, the power loss rate of the emergency power supply system and the cost of the emergency power supply system.
Step 404, capacity optimization calculation, namely processing the transfinite variable;
step 405, judging that the genetic algorithm reaches a maximum algebra;
step 406, if not, generating a next generation particle swarm, and executing step 401;
step 407, if yes, executing the operation of outputting the result.
It should be noted that the execution subjects of the steps of the method provided in embodiment 1 may be the same device, or different devices may be used as the execution subjects of the method. For example, the execution subject of step 101 and step 102 may be device 1, and the execution subject of step 103 may be device 2; for another example, the execution subject of step 101 may be device 1, and the execution subjects of steps 102 and 103 may be device 2; and so on.
Example 2
In this embodiment 2, as shown in fig. 5, an electric system is taken as a coal mine system as a scene based on an implementation process of a method for determining a capacity of an emergency power supply system, where the method includes the following steps:
and step 501, determining the attribute of the emergency load in the coal mine system with the power distribution network having the fault.
Wherein the attributes of the emergency load comprise: the power of an emergency load, the backup time of the emergency load, and the number of the emergency loads.
And 502, determining the type of an energy storage battery used for providing emergency power supply in the emergency power supply system based on the attribute of the emergency load.
And determining the temperature correction coefficient, the redundant safety factor, the efficiency and the discharge depth of the energy storage battery corresponding to the type according to the type of the energy storage battery.
Step 503, solving the objective function according to the attribute of the emergency load and the type of the energy storage battery to obtain a solved result.
Specifically, according to the power of the emergency load, the power preparation time of the emergency load and the number of the emergency loads, the temperature correction coefficient, the redundant safety factor, the redundant efficiency and the discharge depth of the energy storage battery are determined, the objective function is solved, and the solving result is obtained.
And step 504, correcting the solving result according to the constraint condition of the objective function to obtain the configuration capacity of the emergency power supply system.
And the constraint condition of the objective function is used for constraining the objective function so as to correct a solving result obtained by solving the objective function.
In order to obtain the configuration capacity of the emergency power supply system, and meet the requirements of reliable operation of the power utilization system and/or low cost of the emergency power supply system and/or long service life of the energy storage battery, in the embodiment of the present application, the constraints of the objective function include: at least one of a depth of discharge of the energy storage battery, a power loss rate of the emergency power system, and a cost of the emergency power system.
The descriptions of the corresponding parts in embodiment 1 are adopted for the specific situation of the constraint condition, and the embodiments of the present application are not described in detail.
According to the method and the device, the attribute of the emergency load in the power consumption system with the power distribution network having faults is determined, the type of the energy storage battery for providing emergency power supply in the emergency power supply system is determined according to the attribute of the emergency load, the configuration capacity of the emergency power supply system is determined according to the type of the energy storage battery and the objective function, the requirement of the emergency load capable of maintaining normal operation of the power consumption system is considered, the influence of each load in the power consumption system on the capacity configuration of the energy storage battery is analyzed in a non-qualitative mode, reasonable configuration of the emergency power supply system is achieved, and the problem that the capacity of the emergency power supply system cannot be configured according to the.
Example 3
Based on the same inventive concept as the method for determining the capacity of the emergency power supply system provided in embodiment 1 of the present application, an embodiment of the present application further provides a device for determining the capacity of the emergency power supply system, as shown in fig. 6.
Fig. 6 is a schematic structural diagram of an emergency power supply system capacity determining apparatus according to an embodiment of the present application, where the apparatus includes:
the load attribute determining module 61 is used for determining the attribute of the emergency load in the power utilization system with the fault of the power distribution network; the emergency load is a load needing emergency power supply in the loads of the power utilization system;
a battery type determining module 62, configured to determine, based on the attribute of the emergency load, a type of an energy storage battery in the emergency power supply system for providing emergency power; the emergency power supply system is used for providing emergency power supply for the power utilization system;
a configuration capacity determining module 63, configured to determine a configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery, and an objective function; the objective function is a function for calculating the configuration capacity of the emergency power supply system.
The configuration capacity determining module 63 includes:
the solving result obtaining unit is used for solving the objective function according to the attribute of the emergency load and the type of the energy storage battery to obtain a solving result;
and the correction unit is used for correcting the solving result according to the constraint condition of the objective function so as to obtain the configuration capacity of the emergency power supply system.
Attributes of the emergency load including power of the emergency load, backup time of the emergency load, and number of the emergency loads;
the solution result obtaining unit includes:
the battery parameter determining subunit is used for determining an environmental correction coefficient and a discharge depth of the energy storage battery corresponding to the type of the energy storage battery, and a redundancy coefficient and efficiency of the emergency power supply system according to the type of the energy storage battery;
and the solution result obtaining subunit is used for solving the objective function according to the power of the emergency load, the power preparation time of the emergency load, the number of the emergency loads, the determined environmental correction coefficient, redundancy coefficient, efficiency and depth of discharge to obtain the solution result.
The objective function is:
Figure GDA0002749469430000161
wherein the content of the first and second substances,
WESSobtaining a solution result;
i is the number of the emergency load of the power utilization system, and the value range of i is [1, n ]; n is the total number of loads of the power utilization system;
Pithe power of the ith emergency load of the power utilization system;
tithe power supply time of the ith emergency load is the power supply time of the ith emergency load;
Ktthe environmental correction coefficient of the energy storage battery is obtained;
Ksthe redundancy coefficient is the redundancy coefficient of the emergency power supply system;
DOD(t)the discharge depth of the energy storage battery at the time t is obtained;
ηoutfor the efficiency of the emergency power supply system, the calculation formula is as follows: etaout=ηBattery with a battery cell·ηDC,cable·ηCurrent transformer·ηLV·ηTransformer device·ηHV·ηAV·ηAux
ηBattery with a battery cellIs the efficiency of the energy storage cell, ηDC,cableIs the efficiency, η, of the direct current line of the energy storage cellCurrent transformerIs the efficiency of the converter, ηLVFor the low-voltage line transmission efficiency, eta, of said converterTransformer deviceIs the efficiency of the transformer, ηHVIs the high voltage line transmission efficiency, η, of said transformerAuxFor efficiency of auxiliary equipment, ηAVA cable line transmission efficiency for the auxiliary equipment.
The constraint condition of the objective function comprises the discharge depth of the energy storage battery.
The discharge depth of the energy storage battery at the time t is calculated according to the following formula:
Figure GDA0002749469430000171
wherein, WESSIs the objective function;
sigma is the self-discharge rate of the energy storage battery; pdcIs the discharge power of the energy storage battery; Δ t is the discharge time of the energy storage battery; etadcThe discharge efficiency of the energy storage battery; pchCharging power for the energy storage battery; etachAnd the charging efficiency of the energy storage battery is obtained.
The discharge depth of the energy storage battery meets the following conditions:
DODmin≤DOD≤80%×DODmax
wherein the content of the first and second substances,
DODminthe minimum depth of discharge allowed for the energy storage cell;
DODmaxthe maximum depth of discharge allowed for the energy storage cell.
The constraint condition of the objective function comprises the power loss rate of the emergency power supply system.
The power loss rate of the emergency power supply system is calculated according to the following formula:
Figure GDA0002749469430000181
wherein, LSP (t) ═ Pload(t)·Δt'-WESS·(SOC(t-1)-SOCmin)·ηout
Figure GDA0002749469430000182
SOC(t-1)=1-DOD(t-1);ηout·WESS(t)≥Pload(t)·Δt';
WESSIs the objective function;
RLPSPthe power loss rate of the emergency power supply system is;
SOC(t-1)the state of charge of the energy storage battery at the moment t-1 is obtained;
SOCminthe minimum state of charge of the energy storage battery at the moment t-1 is obtained;
delta t' is the power-down time of the emergency power supply system;
Ploadthe capacity sum of the loads needing emergency power supply in the power utilization system is obtained;
DOD(t-1)the discharge depth of the energy storage battery at the moment t-1.
The correction unit includes:
and the constraint condition determining subunit is used for determining the boundary condition of the voltage of the energy storage battery and the boundary condition of the current of the energy storage battery according to the power loss rate of the emergency power supply system.
The boundary conditions of the voltage of the energy storage battery comprise:
Figure GDA0002749469430000183
wherein, UBIs the terminal voltage of the energy storage battery; u shapechCharging voltage of the energy storage battery; u shapedcIs the discharge voltage of the energy storage battery; u shapePCS,DCIs a direct current side voltage; u shapePCS,minIs the lower voltage limit of the direct current side; u shapePCS,maxIs the upper voltage limit on the dc side.
The boundary conditions of the energy storage battery current comprise:
Figure GDA0002749469430000191
wherein, Ich,maxLimiting current for charging of the battery; i isdc,maxThe current is limited for the discharge of the battery.
Further, the constraints of the objective function include the economic cost of the emergency power system.
The economic cost of the emergency power supply system is calculated according to the following mode:
Ctotal=Cv+Co+Cd=(kbWESS+kpPESS+kaWESS)+koPESS+kdWESS
wherein the content of the first and second substances,WESSobtaining a solution result; pESSIs the power of the energy storage battery;
Cvfor the investment costs of the emergency power supply system, CoFor the operating costs of the emergency power supply system, CdDisposal cost for the emergency power supply system; k is a radical ofbFor the price per unit energy, k, of the energy storage cellpFor the price per unit power, k, of the energy-storing inverteraIs the investment cost coefficient of the auxiliary equipment, koFor the operating cost coefficient, k, of the energy storage celldIs the disposal cost coefficient of the energy storage battery.
The solving of the objective function specifically includes: and solving the objective function by adopting a particle swarm algorithm.
According to the method and the device, the attribute of the emergency load in the power consumption system with the power distribution network having faults is determined, the type of the energy storage battery for providing emergency power supply in the emergency power supply system is determined according to the attribute of the emergency load, the configuration capacity of the emergency power supply system is determined according to the type of the energy storage battery and the objective function, the requirement of the emergency load capable of maintaining normal operation of the power consumption system is considered, the influence of each load in the power consumption system on the capacity configuration of the energy storage battery is analyzed in a non-qualitative mode, reasonable configuration of the emergency power supply system is achieved, and the problem that the capacity of the emergency power supply system cannot be configured according to the.
Example 4
Based on the same inventive concept as the method for determining the capacity of the emergency power supply system provided in embodiment 1 and the device for determining the capacity of the emergency power supply system provided in embodiment 2 of the present application, an embodiment of the present application further provides an emergency power supply system, as shown in fig. 7.
Fig. 7 is a schematic structural diagram of an emergency power supply system according to an embodiment of the present application, where the emergency power supply system includes:
an energy storage battery pack 71, wherein the energy storage battery pack 71 comprises at least one energy storage battery;
the emergency power system capacity determining device 72 in the above embodiment, wherein the emergency power system capacity determining device 72 is electrically connected to the energy storage battery pack 71 and is configured to configure capacity for the energy storage battery pack 71;
and the energy storage inverter 73 is electrically connected with the energy storage battery pack 71, and is used for providing emergency power supply for emergency loads in the power utilization system for the energy storage battery pack 71 through the energy storage inverter 73 when the power distribution network fails.
Please refer to embodiments 1 to 3 for specific implementation of the emergency power system capacity determining apparatus 72 and achieved beneficial effects, which are not described in detail herein.
Example 5
Based on the same inventive concept as the emergency power supply system provided in embodiment 4 of the present application, an emergency power application system is also provided in the embodiment of the present application, as shown in fig. 8.
Fig. 8 is a schematic structural diagram of an emergency power application system according to an embodiment of the present application, where the system includes: the emergency power supply system 81 is electrically connected with the power utilization system 82, and is used for providing emergency power supply for emergency loads in the power utilization system 82 when the power distribution network fails, wherein the emergency power supply system 81 is electrically connected with the power utilization system 82. Please refer to embodiments 1 to 3 for specific implementation and achieved beneficial effects of the emergency power supply system 81, which are not described in detail herein. In practical applications, the emergency power application system may be a coal mine system.
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, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the 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.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (25)

1. An emergency power system capacity determination method, comprising:
determining the attribute of an emergency load in a power utilization system with a fault of a power distribution network; the emergency load is a load needing emergency power supply in the loads of the power utilization system;
determining the type of an energy storage battery used for providing emergency power supply in an emergency power supply system based on the attribute of the emergency load; the emergency power supply system is used for providing emergency power supply for the power utilization system;
determining the configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery and an objective function; the objective function is a function for calculating the configuration capacity of the emergency power supply system;
wherein the objective function is:
Figure FDA0002749469420000011
wherein the content of the first and second substances,
WESSthe solution result of the objective function is the configuration capacity of the emergency power supply system;
i is the number of the emergency load of the power utilization system, and the value range of i is [1, n ]; n is the total number of loads of the power utilization system;
Pithe power of the ith emergency load of the power utilization system;
tithe power supply time of the ith emergency load is the power supply time of the ith emergency load;
Ktthe environmental correction coefficient of the energy storage battery is obtained;
Ksthe redundancy coefficient is the redundancy coefficient of the emergency power supply system;
DOD(t)the discharge depth of the energy storage battery at the time t is obtained;
ηoutfor the efficiency of the emergency power supply system, the calculation formula is as follows: etaout=ηBattery with a battery cell·ηDC,cable·ηCurrent transformer·ηLV·ηTransformer device·ηHV·ηAV·ηAux
ηBattery with a battery cellIs the efficiency of the energy storage cell, ηDC,cableIs the efficiency, η, of the direct current line of the energy storage cellCurrent transformerIs the efficiency of the converter, ηLVFor the low-voltage line transmission efficiency, eta, of said converterTransformer deviceTo the efficiency of the transformer,ηHVIs the high voltage line transmission efficiency, η, of said transformerAuxFor efficiency of auxiliary equipment, ηAVA cable line transmission efficiency for the auxiliary equipment.
2. The method according to claim 1, wherein determining the configuration capacity of the emergency power supply system according to the property of the emergency load, the type of the energy storage battery, and an objective function specifically comprises:
solving the objective function according to the attribute of the emergency load and the type of the energy storage battery to obtain a solving result;
and correcting the solving result according to the constraint condition of the objective function to obtain the configuration capacity of the emergency power supply system.
3. The method of claim 2, wherein the attributes of the emergency load include power of the emergency load, backup time of the emergency load, and number of the emergency loads;
solving the objective function according to the attribute of the emergency load and the type of the energy storage battery to obtain a solution result, specifically comprising:
determining an environment correction coefficient and a discharge depth of the energy storage battery corresponding to the type of the energy storage battery, and a redundancy coefficient and efficiency of the emergency power supply system according to the type of the energy storage battery;
and solving the objective function according to the power of the emergency load, the standby power time of the emergency load, the number of the emergency loads, the determined environmental correction coefficient, redundancy coefficient, efficiency and discharge depth to obtain a solving result.
4. The method of claim 1, wherein the constraints of the objective function include at least one of a depth of discharge of an energy storage battery, a power loss rate of an emergency power system, and an economic cost of the emergency power system.
5. The method of claim 4, wherein the depth of discharge of the energy storage cell at time t is calculated according to the following equation:
Figure FDA0002749469420000021
wherein, σ is the self-discharge rate of the energy storage battery; pdcIs the discharge power of the energy storage battery; Δ t is the discharge time of the energy storage battery; etadcThe discharge efficiency of the energy storage battery; pchCharging power for the energy storage battery; etachAnd the charging efficiency of the energy storage battery is obtained.
6. The method of claim 5, wherein the depth of discharge of the energy storage cell is such that:
DODmin≤DOD≤80%×DODmax
wherein the content of the first and second substances,
DODminthe minimum depth of discharge allowed for the energy storage cell;
DODmaxthe maximum depth of discharge allowed for the energy storage cell.
7. The method of claim 4, wherein the power loss of the emergency power system is calculated according to the following formula:
Figure FDA0002749469420000031
wherein, LSP (t) ═ Pload(t)·Δt'-WESS·(SOC(t-1)-SOCmin)·ηout
Figure FDA0002749469420000032
SOC(t-1)=1-DOD(t-1);ηout·WESS(t)≥Pload(t)·Δt';
RLPSPThe power loss rate of the emergency power supply system is;
SOC(t-1)the state of charge of the energy storage battery at the moment t-1 is obtained;
SOCminthe minimum state of charge of the energy storage battery at the moment t-1 is obtained;
delta t' is the power-down time of the emergency power supply system;
Ploadthe capacity sum of the loads needing emergency power supply in the power utilization system is obtained;
DOD(t-1)the discharge depth of the energy storage battery at the moment t-1.
8. The method according to claim 7, wherein the step of correcting the solution result according to the power loss rate of the emergency power supply system to obtain the configuration capacity of the emergency power supply system specifically comprises:
and determining the boundary condition of the voltage of the energy storage battery and the boundary condition of the current of the energy storage battery according to the power loss rate of the emergency power supply system.
9. The method of claim 8, wherein the boundary conditions for the energy storage cell voltage comprise:
Figure FDA0002749469420000041
wherein, UBIs the terminal voltage of the energy storage battery; u shapechCharging voltage of the energy storage battery; u shapedcIs the discharge voltage of the energy storage battery; u shapePCS,DCIs a direct current side voltage; u shapePCS,minIs the lower voltage limit of the direct current side; u shapePCS,maxIs the upper voltage limit on the dc side.
10. The method of claim 9, wherein the boundary conditions for the energy storage cell current comprise:
Figure FDA0002749469420000042
wherein, Ich,maxLimiting current for charging of the battery; i isdc,maxThe current is limited for the discharge of the battery.
11. The method of claim 4, wherein the economic cost of the emergency power system is calculated as follows:
Ctotal=Cv+Co+Cd=(kbWESS+kpPESS+kaWESS)+koPESS+kdWESS
wherein, PESSIs the power of the energy storage battery;
Cvfor the investment costs of the emergency power supply system, CoFor the operating costs of the emergency power supply system, CdDisposal cost for the emergency power supply system; k is a radical ofbFor the price per unit energy, k, of the energy storage cellpFor the price per unit power, k, of the energy-storing inverteraIs the investment cost coefficient of the auxiliary equipment, koFor the operating cost coefficient, k, of the energy storage celldIs the disposal cost coefficient of the energy storage battery.
12. An emergency power system capacity determination apparatus, comprising:
the load attribute determining module is used for determining the attribute of the emergency load in the power utilization system with the fault of the power distribution network; the emergency load is a load needing emergency power supply in the loads of the power utilization system;
the battery type determining module is used for determining the type of an energy storage battery used for providing emergency power supply in the emergency power supply system based on the attribute of the emergency load; the emergency power supply system is used for providing emergency power supply for the power utilization system;
the configuration capacity determining module is used for determining the configuration capacity of the emergency power supply system according to the attribute of the emergency load, the type of the energy storage battery and an objective function; the objective function is a function for calculating the configuration capacity of the emergency power supply system;
wherein the objective function is:
Figure FDA0002749469420000051
wherein, WESSThe solution result of the objective function is the configuration capacity of the emergency power supply system;
i is the number of the emergency load of the power utilization system, and the value range of i is [1, n ]; n is the total number of loads of the power utilization system;
Pithe power of the ith emergency load of the power utilization system;
tithe power supply time of the ith emergency load is the power supply time of the ith emergency load;
Ktthe environmental correction coefficient of the energy storage battery is obtained;
Ksthe redundancy coefficient is the redundancy coefficient of the emergency power supply system;
DOD(t)the discharge depth of the energy storage battery at the time t is obtained;
ηoutfor the efficiency of the emergency power supply system, the calculation formula is as follows: etaout=ηBattery with a battery cell·ηDC,cable·ηCurrent transformer·ηLV·ηTransformer device·ηHV·ηAV·ηAux
ηBattery with a battery cellIs the efficiency of the energy storage cell, ηDC,cableIs the efficiency, η, of the direct current line of the energy storage cellCurrent transformerIs the efficiency of the converter, ηLVFor the low-voltage line transmission efficiency, eta, of said converterTransformer deviceIs the efficiency of the transformer, ηHVIs the high voltage line transmission efficiency, η, of said transformerAuxFor efficiency of auxiliary equipment, ηAVA cable line transmission efficiency for the auxiliary equipment.
13. The apparatus of claim 12, wherein the configuration capacity determination module comprises:
the solving result obtaining unit is used for solving the objective function according to the attribute of the emergency load and the type of the energy storage battery to obtain a solving result;
and the correction unit is used for correcting the solving result according to the constraint condition of the objective function so as to obtain the configuration capacity of the emergency power supply system.
14. The apparatus of claim 13, wherein the attributes of the emergency load include power of the emergency load, backup time of the emergency load, and number of the emergency loads;
the solution result obtaining unit includes:
the battery parameter determining subunit is used for determining an environmental correction coefficient and a discharge depth of the energy storage battery corresponding to the type of the energy storage battery, and a redundancy coefficient and efficiency of the emergency power supply system according to the type of the energy storage battery;
and the solution result obtaining subunit is used for solving the objective function according to the power of the emergency load, the power preparation time of the emergency load, the number of the emergency loads, the determined environmental correction coefficient, redundancy coefficient, efficiency and depth of discharge to obtain the solution result.
15. The apparatus of claim 13, wherein the constraints of the objective function include at least one of a depth of discharge of an energy storage battery, a power loss rate of an emergency power system, and an economic cost of the emergency power system.
16. The apparatus of claim 15, wherein the depth of discharge of the energy storage cell at time t is calculated according to the following equation:
Figure FDA0002749469420000061
wherein the content of the first and second substances,
sigma is the self-discharge rate of the energy storage battery; pdcIs the discharge power of the energy storage battery; Δ t is the discharge time of the energy storage battery; etadcThe discharge efficiency of the energy storage battery; pchCharging power for the energy storage battery; etachAnd the charging efficiency of the energy storage battery is obtained.
17. The apparatus of claim 16, wherein the depth of discharge of the energy storage cell is such that:
DODmin≤DOD≤80%×DODmax
wherein, DODminThe minimum depth of discharge allowed for the energy storage cell;
DODmaxthe maximum depth of discharge allowed for the energy storage cell.
18. The apparatus of claim 15, wherein the power loss of the emergency power system is calculated according to the following formula:
Figure FDA0002749469420000071
wherein, LSP (t) ═ Pload(t)·Δt'-WESS·(SOC(t-1)-SOCmin)·ηout
Figure FDA0002749469420000072
SOC(t-1)=1-DOD(t-1);ηout·WESS(t)≥Pload(t)·Δt';
RLPSPThe power loss rate of the emergency power supply system is;
SOC(t-1)the state of charge of the energy storage battery at the moment t-1 is obtained;
SOCminthe minimum state of charge of the energy storage battery at the moment t-1 is obtained;
delta t' is the power-down time of the emergency power supply system;
Ploadthe capacity sum of the loads needing emergency power supply in the power utilization system is obtained;
DOD(t-1)the discharge depth of the energy storage battery at the moment t-1.
19. The apparatus of claim 18, wherein the correction unit comprises:
and the constraint condition determining subunit is used for determining the boundary condition of the voltage of the energy storage battery and the boundary condition of the current of the energy storage battery according to the power loss rate of the emergency power supply system.
20. The apparatus of claim 19, wherein the boundary conditions for the energy storage cell voltage comprise:
Figure FDA0002749469420000073
wherein, UBIs the terminal voltage of the energy storage battery; u shapechCharging voltage of the energy storage battery; u shapedcIs the discharge voltage of the energy storage battery; u shapePCS,DCIs a direct current side voltage; u shapePCS,minIs the lower voltage limit of the direct current side; u shapePCS,maxIs the upper voltage limit on the dc side.
21. The apparatus of claim 20, wherein the boundary conditions for the energy storage cell current comprise:
Figure FDA0002749469420000081
wherein, Ich,maxLimiting current for charging of the battery; i isdc,maxThe current is limited for the discharge of the battery.
22. The apparatus of claim 15, wherein the economic cost of the emergency power system is calculated as follows:
Ctotal=Cv+Co+Cd=(kbWESS+kpPESS+kaWESS)+koPESS+kdWESS
wherein, PESSIs the power of the energy storage battery;
Cvfor the investment costs of the emergency power supply system, CoFor the operating costs of the emergency power supply system, CdDisposal cost for the emergency power supply system; k is a radical ofbFor the price per unit energy, k, of the energy storage cellpFor the price per unit power, k, of the energy-storing inverteraIs the investment cost coefficient of the auxiliary equipment, koFor the operating cost coefficient, k, of the energy storage celldIs the disposal cost coefficient of the energy storage battery.
23. An emergency power system, the system comprising:
an energy storage battery pack comprising at least one energy storage battery;
the emergency power system capacity determination apparatus of any one of claims 12 to 22, the emergency power system capacity being electrically connected to the energy storage battery pack for configuring capacity for the energy storage battery pack;
and the energy storage inverter is electrically connected with the energy storage battery pack and used for providing emergency power supply for emergency loads in the power utilization system through the energy storage inverter when the power distribution network fails.
24. An emergency electricity application system, comprising:
an electricity utilization system;
the emergency power system of claim 23, electrically connected to the power system for providing emergency power to emergency loads in the power system in the event of a failure of the power distribution network.
25. The system of claim 24, wherein the emergency electrical application system is a coal mine system.
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