CN110426646B - Energy efficiency index calculation method for electrochemical energy storage power station based on SOC balance endpoint algorithm - Google Patents

Energy efficiency index calculation method for electrochemical energy storage power station based on SOC balance endpoint algorithm Download PDF

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CN110426646B
CN110426646B CN201910738648.1A CN201910738648A CN110426646B CN 110426646 B CN110426646 B CN 110426646B CN 201910738648 A CN201910738648 A CN 201910738648A CN 110426646 B CN110426646 B CN 110426646B
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power station
soc
grid
storage unit
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CN110426646A (en
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杜炜凝
张大林
周杨
任萱
于晓蒙
赵杰
曹旭翀
蒋煜
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State Grid Jiangsu Electric Power Co ltd Zhenjiang Power Supply Branch
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract

The invention discloses a method for calculating energy efficiency indexes of an electrochemical energy storage power station by an SOC balance endpoint algorithm, which comprises the following steps of: define an arbitrary period [ Ts,Te]Acquiring SOC (state of charge) and required electric quantity data of the power station through an energy storage system; comparison of power stations TsSOC (1)sAnd TeSOC (1)eSize; if SOCs‑SOCeMore than 2%, all the electricity data are deducted by TmTo TeBetween integral electric quantity data delta1Correcting; if SOCe‑SOCsMore than 2%, all the electricity data are deducted by TsTo TmBetween integral electric quantity data delta2Correcting; and establishing a mathematical model to calculate energy efficiency indexes, including power station comprehensive efficiency, power station energy storage loss rate, power station equivalent cycle coefficient, incoming line interval loss rate, energy storage unit loss rate, transformer loss rate, battery loss rate, PCS loss rate, incoming line interval efficiency, energy storage unit efficiency and battery efficiency. The electrochemical energy storage power station energy efficiency index calculation method based on the SOC balance endpoint algorithm enables the calculation of the electrochemical energy storage power station energy efficiency index to be more accurate and is not restricted by short calculation period.

Description

Energy efficiency index calculation method for electrochemical energy storage power station based on SOC balance endpoint algorithm
Technical Field
The invention relates to a method for calculating energy efficiency indexes of an electrochemical energy storage power station by using an SOC balance endpoint algorithm, and belongs to the technical field of electrochemical energy storage power stations.
Background
With the rapid development of economy and the progress of smart grid technology, the role of an electrochemical energy storage power station in a power system is more and more non-negligible. Environmental issues and energy crisis have driven the development of distributed energy and the development and application of electrochemical energy storage power stations. The electrochemical energy storage technology effectively solves the problem that large-scale renewable energy power generation is connected into a power grid, and becomes an important part of the intelligent power grid technology, and the application of the electrochemical energy storage technology mainly relates to the following steps: the system is configured on the power supply side, and the fluctuation of the short-time output of the smoothly distributed intermittent energy is realized, so that the arbitrage operation is realized, and the certainty, the predictability and the economy of the power generation of the renewable energy are improved; secondly, the system is configured on the system side, so that the functions of peak clipping and valley filling, load tracking, frequency and voltage regulation, hot standby, electric energy quality control and the like are realized, and the self-regulating capability of the system is improved; and thirdly, the energy storage device is arranged on the load side, and mainly utilizes the energy storage of the electric automobile to form a virtual power plant to participate in the regulation and control of the power generation of the renewable energy source.
The energy efficiency index of the electrochemical energy storage power station needs to be calculated accurately by ensuring that the residual electric quantity of the energy storage equipment is consistent after a plurality of charging and discharging chemical processes. The existing calculation method mainly adopts a long-period energy efficiency index equivalent algorithm, and ignores inconsistent deviations before and after the residual electric quantity by the difference of orders of magnitude on the premise of long-period electric quantity statistics. However, with the expansion of electrochemical energy storage application scenes, under new application scenes such as load tracking and frequency modulation, short-period energy efficiency index evaluation is required, the energy efficiency index of an energy storage power station cannot be accurately calculated by the existing algorithm, and further the running condition and the effect of the energy storage power station cannot be accurately evaluated. Through retrieval, the closest prior art of the invention is 'an energy storage power station grid-connected test verification system and a verification method thereof' with the patent publication number of CN 108802539A.
Disclosure of Invention
The invention aims to provide a method for calculating an energy efficiency index of an electrochemical energy storage power station by using an SOC balance endpoint algorithm, and solves the problem that the short-period energy efficiency index of the electrochemical energy storage power station cannot be accurately evaluated in the prior art.
The purpose of the invention is realized by the following technical scheme:
a method for calculating the energy efficiency index of an electrochemical energy storage power station by an SOC balance endpoint algorithm comprises the following steps:
the method comprises the following steps: defining an arbitrary computation period [ T ]s,Te]Acquiring the SOC (battery residual capacity) of the power station and the electric quantity data E generated in the period through the energy storage management and control systemjThe method comprises the steps of power station grid-connected point on-line electric quantity, power station grid-connected point off-line electric quantity, power inlet interval on-line electric quantity, power inlet interval off-line electric quantity, station power consumption, charging quantity of each energy storage unit, discharging quantity of each energy storage unit, charging quantity of PCS direct current side, discharging quantity of PCS direct current side, and setting each electric quantity data EjThe power of the corresponding statistical gate is recorded as Pj
The grid-connected point grid-connected electric quantity of the power station is the sum of electric quantities transmitted from the energy storage power station to the power grid in a calculation period, the grid-connected point grid-disconnected electric quantity of the power station is the sum of electric quantities received by the energy storage power station from the power grid in the calculation period, the grid-incoming interval grid-connected electric quantity is the sum of electric quantities transmitted to a power station bus at the wire-incoming interval in the calculation period, the grid-incoming interval grid-disconnected electric quantity is the sum of electric quantities received from the power station bus at the wire-incoming interval in the calculation period, and the station power consumption is the sum of electric quantities consumed by a monitoring system, lighting power, a heating ventilation; the charging amount of the energy storage unit is the sum of the charging amount of the alternating current side of the energy storage unit in the calculation period, and the discharging amount of the energy storage unit is the sum of the discharging amount of the alternating current side of the energy storage unit in the calculation period;
step two: comparing the starting time T of the energy storage power stationsIs SOC ofsAnd an end time TeIs SOC ofeAfter the size of the two is changed, the electric quantity data is corrected by the specific method as follows:
1) if SOCs-SOCeIf | ≦ ε, then determine SOCs≈SOCe,0≤ε≤2%;
2) If SOCs-SOCe|>ε,0≤ε≤2%
If SOCs-SOCeIs greater than epsilon, assume arbitrary time a and corresponding SOCaSatisfy the requirement of
Figure GDA0002881746930000021
Under the condition ofThe solution set is a e (a)1,a2,···,an) Then get TmMax (a), and corresponds to SOCm
Push button
Figure GDA0002881746930000022
Correction of wherein
Figure GDA0002881746930000023
If SOCe-SOCsIs greater than epsilon, assume arbitrary time b and corresponding SOCbSatisfy the requirement of
Figure GDA0002881746930000024
The solution set under the condition is b epsilon (b)1,b2,···,bn) Then get TmMin (b), and corresponds to SOCm
Push button
Figure GDA0002881746930000025
Correction of wherein
Figure GDA0002881746930000026
Step three: the comprehensive efficiency of the power station is the ratio of the on-grid electric quantity to the off-grid electric quantity in the production operation process of the energy storage power station in a calculation period, and a mathematical model of the comprehensive efficiency of the power station is established:
Figure GDA0002881746930000027
in the formula:
ηRESSrepresents the comprehensive efficiency of the energy storage power station,%;
Eonthe online electric quantity of the energy storage power station grid-connected point in a calculation period is represented, and the unit is kilowatt-hour;
Eoffthe offline electric quantity of the grid-connected point of the energy storage power station in a calculation period is represented in kilowatt-hour;
calculating T according to the total negative active value of the outlet terminal of the energy storage stationmTo TeOr TsTo TmIntegral electric quantity between, and is marked as Eoff_According to step two, E is obtainedoff_=ΔiIn which P isj<0,i=1,2;
Calculating T according to the total positive value of the outlet end of the energy storage stationmTo TeOr TsTo TmIntegral electric quantity between, and is marked as Eon_According to step two, E is obtainedon_=ΔiIn which P isj>0,i=1,2;
The calculation formula of the comprehensive efficiency of the power station is modified as follows:
Figure GDA0002881746930000031
step four: the power station energy storage loss rate is a ratio of the total electric energy loss of each energy storage unit in the charging, discharging and energy storage processes in the calculation period to the grid power quantity, and a mathematical model of the power station energy storage loss rate is established:
Figure GDA0002881746930000032
in the formula:
RESrepresents the loss rate,%, of the energy storage power station;
∑ECthe total charge amount of each energy storage unit in a calculation period is represented and has a unit of kilowatt-hour;
∑EDthe sum of the discharge amount of each energy storage unit in a calculation period is expressed, and the unit is kilowatt-hour;
calculating T according to the total quantity of negative active values of the ports (PCS alternating current side) of the energy storage unitsmTo TeOr TsTo TmIntegral electric quantity between, as ∑ EC_According to the second step, Σ E can be obtainedC_=∑ΔiIn which P isj<0,i=1,2;
Calculating T according to the total positive active values of the ports (PCS AC side) of the energy storage unitsmTo TeOr TsTo TmIntegral electric quantity betweenIs noted as Σ ED_According to the second step, Σ E can be obtainedD_=∑ΔiIn which P isj>0,i=1,2;
The calculation formula of the energy storage loss rate of the power station is modified as follows:
Figure GDA0002881746930000041
further, an energy efficiency expansion index mathematical model is established, wherein the mathematical model comprises a power station equivalent circulation coefficient, an incoming line interval loss rate, an energy storage unit loss rate, a transformer loss rate, a battery loss rate, a PCS loss rate, an incoming line interval efficiency, an energy storage unit efficiency and a battery efficiency, and various types of correction electric quantity can be obtained according to the second step
Figure GDA0002881746930000042
Finally, an energy efficiency extension index mathematical model correction formula is obtained
Figure GDA0002881746930000043
The power station equivalent cycle coefficient is (total power station charge + total power station discharge)/(2 power station installed capacity); the incoming line interval loss rate is (incoming line interval off-grid electric quantity-incoming line interval on-grid electric quantity)/off-grid electric quantity; the loss rate of the energy storage unit is (the charge amount of the energy storage unit-the discharge amount of the energy storage unit)/the grid-off electric quantity; the transformer loss rate is equal to the incoming line interval loss rate-the internal energy storage unit loss rate ((incoming line interval off-grid electric quantity-internal energy storage unit total charging amount) + (internal energy storage unit total discharging amount-incoming line interval on-grid electric quantity))/off-grid electric quantity; the battery loss rate is (PCS direct current side charging amount-PCS direct current side discharging amount)/grid-off electric quantity; the PCS loss rate is the loss rate of the energy storage unit-the loss rate of the internal battery ((total charge amount of the energy storage unit-PCS direct-current side charge amount) + (PCS direct-current side discharge amount-total discharge amount of the energy storage unit))/power-off network electricity amount; the incoming line interval efficiency is equal to incoming line interval upper network electric quantity/incoming line interval lower network electric quantity; the energy storage unit efficiency is equal to the discharge capacity of the energy storage unit/the charge capacity of the energy storage unit; the battery efficiency is PCS direct current side discharge capacity/PCS direct current side charge capacity.
Compared with the prior art, the invention has the beneficial effects that: according to the electrochemical energy storage power station energy efficiency index calculation method based on the SOC balance endpoint algorithm, the SOC of a power station, the on-line electric quantity, the off-line electric quantity, the station power consumption, the charging amount of an energy storage unit and the discharging amount of the energy storage unit are collected, the SOC of the power station at the starting moment and the SOC of the power station at the ending moment are compared, different calculation methods are selected according to different comparison results, the fact that the energy storage unit used for calculation is always consistent with the energy storage unit at the beginning and the end can be guaranteed, the accuracy of the energy efficiency index calculation result is not limited by the short calculation period.
According to the electrochemical energy storage power station energy efficiency index calculation method based on the SOC balance endpoint algorithm, a more accurate mathematical model of the comprehensive efficiency of the power station and the energy storage loss rate of the power station is established, the provided equivalent cycle coefficient of the power station, the incoming line interval loss rate, the energy storage unit loss rate, the transformer loss rate, the battery loss rate, the PCS loss rate, the incoming line interval efficiency, the energy storage unit efficiency and the battery efficiency are expanded, and the energy efficiency index content of the electrochemical energy storage power station is further comprehensively evaluated.
Drawings
FIG. 1 is a conventional wiring diagram of an electrochemical energy storage power station;
FIG. 2 is a first embodiment of an SOC balance endpoint based power correction algorithm;
FIG. 3 is a second embodiment of an SOC balance endpoint-based power correction algorithm;
FIG. 4 is a flow chart of a method for calculating an energy efficiency index of an electrochemical energy storage power station based on an SOC balance endpoint algorithm.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
FIG. 1 shows a conventional wiring diagram of an electrochemical energy storage power station; and each electric quantity of the electrochemical energy storage power station is displayed.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The invention discloses an electrochemical energy storage power station energy efficiency index calculation method of an SOC balance endpoint algorithm, which comprises the following steps:
the method comprises the following steps: defining an arbitrary computation period [ T ]s,Te]Acquiring the SOC of the power station and electric quantity data E generated in the period through the energy storage management and control systemj(including power station grid-connected point network power quantity, station power consumption, charging quantity and discharging quantity of each energy storage unit, PCS direct current side charging quantity and discharging quantity), and obtaining various types of power quantity EjPower P of corresponding statistical gatej. The method comprises the following steps that the online electric quantity is the sum of electric quantities transmitted by an energy storage power station to a power grid in a calculation period, the offline electric quantity is the sum of electric quantities received by the energy storage power station from the power grid in the calculation period, the station power consumption is the sum of electric quantities consumed by a monitoring system, lighting power, a heating ventilation air conditioner and the like for maintaining the operation of the energy storage power station in the calculation period, the charging quantity of an energy storage unit is the sum of the alternating-current side charging quantities of the energy storage unit in the calculation period, and the discharging quantity of the energy storage unit is the sum;
step two: comparing the starting time T of the energy storage power stationsIs SOC ofsAnd an end time TeIs SOC ofeThe sizes of the two are as follows:
1) if SOCs-SOCeIf | is less than or equal to 2%, then the SOC is considereds≈SOCe
2) If SOCs-SOCe|>2%,
If SOCs-SOCeMore than 2%, assume any time a and corresponding SOCaSatisfy the requirement of
Figure GDA0002881746930000051
The solution set under the condition is a epsilon (a)1,a2,···,an) Then get TmMax (a), and corresponds to SOCm
Push button
Figure GDA0002881746930000052
Correction of wherein
Figure GDA0002881746930000053
If SOCe-SOCsMore than 2%, assume any time b and corresponding SOCbSatisfy the requirement of
Figure GDA0002881746930000054
The solution set under the condition is b epsilon (b)1,b2,···,bn) Then get TmMin (b), and corresponds to SOCm
Push button
Figure GDA0002881746930000061
Correction of wherein
Figure GDA0002881746930000062
Step three: establishing a power station comprehensive efficiency mathematical model:
Figure GDA0002881746930000063
in the formula:
ηRESSrepresents the comprehensive efficiency of the energy storage power station,%;
Eonthe online electric quantity of the energy storage power station grid-connected point in a calculation period is represented, and the unit is kilowatt-hour;
Eoffthe offline electric quantity of the grid-connected point of the energy storage power station in a calculation period is represented in kilowatt-hour;
calculating T according to the total negative active value of the outlet terminal of the energy storage stationmTo Te(or T)sTo Tm) Integral electric quantity between, and is marked as Eoff_According to step two, E is obtainedoff_=ΔiIn which P isj<0,i=1,2;
According to the outlet end of the energy storage stationTotal amount of active value calculation TmTo Te(or T)sTo Tm) Integral electric quantity between, and is marked as Eon_According to step two, E is obtainedon_=ΔiIn which P isj>0,i=1,2;
The calculation formula of the comprehensive efficiency of the power station is modified as follows:
Figure GDA0002881746930000064
and obtaining the accurate value of the comprehensive efficiency of the energy storage power station according to the correction formula.
Step four: establishing a mathematical model of the energy storage loss rate of the power station:
Figure GDA0002881746930000065
in the formula:
RESrepresents the loss rate,%, of the energy storage power station;
∑ECthe total charge amount of each energy storage unit in a calculation period is represented and has a unit of kilowatt-hour;
∑EDthe sum of the discharge amount of each energy storage unit in a calculation period is expressed, and the unit is kilowatt-hour;
calculating T according to the total quantity of negative active values of the ports (PCS alternating current side) of the energy storage unitsmTo Te(or T)sTo Tm) Integral electric quantity between, as ∑ EC_According to the second step, Σ E can be obtainedC_=∑ΔiIn which P isj<0,i=1,2;
Calculating T according to the total positive active values of the ports (PCS AC side) of the energy storage unitsmTo Te(or T)sTo Tm) Integral electric quantity between, as ∑ ED_According to the second step, Σ E can be obtainedD_=∑ΔiIn which P isj>0,i=1,2;
The calculation formula of the energy storage loss rate of the power station is modified as follows:
Figure GDA0002881746930000071
and obtaining the accurate value of the energy storage loss rate of the power station according to a correction formula.
Similarly, an energy efficiency expansion index mathematical model is sequentially established, and the energy efficiency expansion index mathematical model comprises a power station equivalent circulation coefficient, an incoming line interval loss rate, an energy storage unit loss rate, a transformer loss rate, a battery loss rate, a PCS loss rate, an incoming line interval efficiency, an energy storage unit efficiency and a battery efficiency. The equivalent cycle coefficient of the power station is (total charging amount of the power station + total discharging amount of the power station)/(2 × installed capacity of the power station); the incoming line interval loss rate is (incoming line interval off-grid electric quantity-incoming line interval on-grid electric quantity)/off-grid electric quantity; the loss rate of the energy storage unit is (the charge amount of the energy storage unit-the discharge amount of the energy storage unit)/the grid-off electric quantity; the transformer loss rate is equal to the incoming line interval loss rate-the internal energy storage unit loss rate ((incoming line interval off-grid electric quantity-internal energy storage unit total charging amount) + (internal energy storage unit total discharging amount-incoming line interval on-grid electric quantity))/off-grid electric quantity; the battery loss rate is (PCS direct current side charging amount-PCS direct current side discharging amount)/grid-off electric quantity; the PCS loss rate is the loss rate of the energy storage unit-the loss rate of the internal battery ((total charge amount of the energy storage unit-PCS direct-current side charge amount) + (PCS direct-current side discharge amount-total discharge amount of the energy storage unit))/power-off network electricity amount; the incoming line interval efficiency is equal to incoming line interval upper network electric quantity/incoming line interval lower network electric quantity; the energy storage unit efficiency is equal to the discharge capacity of the energy storage unit/the charge capacity of the energy storage unit; the battery efficiency is PCS direct current side discharge capacity/PCS direct current side charge capacity.
According to the electrochemical energy storage power station energy efficiency index calculation method of the SOC balance endpoint algorithm, each type of correction electric quantity can be obtained in the second step
Figure GDA0002881746930000072
Finally, an energy efficiency extension index mathematical model correction formula is obtained
Figure GDA0002881746930000073
And obtaining the energy efficiency expansion index accurate value according to a correction formula.
In summary, the electrochemical energy storage power station energy efficiency index calculation method based on the SOC balance endpoint algorithm first collects the power station SOC, various types of electric quantity data and the power of the corresponding statistical gateway; then comparing the SOC of the power station at the starting time and the SOC of the power station at the ending time, and adopting different electric quantity correction methods according to different results; then, a mathematical model of the comprehensive efficiency and the energy storage loss rate of the power station is established and corrected according to the results of the step two, and an accurate cutting calculation result is obtained; and finally, establishing and correcting a power station energy efficiency expansion index mathematical model according to the result of the step two to obtain a calculation result, so that the evaluation of the operation index of the energy storage power station is more comprehensive and accurate.
It is to 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 identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (2)

1. A method for calculating the energy efficiency index of an electrochemical energy storage power station by an SOC balance endpoint algorithm is characterized by comprising the following steps:
the method comprises the following steps: defining an arbitrary computation period [ T ]s,Te]Acquiring the SOC of the power station and electric quantity data E generated in the period through the energy storage management and control systemjThe method comprises power station grid-connected point on-line electricity quantity, power station grid-connected point off-line electricity quantity, incoming line interval on-line electricity quantity, incoming line interval off-line electricity quantity, station electricity quantity, charging quantity of each energy storage unit, discharging quantity of each energy storage unit, power supply and power supply,The charging quantity and the discharging quantity of the PCS direct current side are set with the data E of each quantity of electricityjThe power of the corresponding statistical gate is recorded as Pj
The grid-connected point grid-connected electric quantity of the power station is the sum of electric quantities transmitted from the energy storage power station to the power grid in a calculation period, the grid-connected point grid-disconnected electric quantity of the power station is the sum of electric quantities received by the energy storage power station from the power grid in the calculation period, the grid-incoming interval grid-connected electric quantity is the sum of electric quantities transmitted to a power station bus at the wire-incoming interval in the calculation period, the grid-incoming interval grid-disconnected electric quantity is the sum of electric quantities received from the power station bus at the wire-incoming interval in the calculation period, and the station power consumption is the sum of electric quantities consumed by a monitoring system, lighting power and a heating; the charging amount of the energy storage unit is the sum of the charging amount of the alternating current side of the energy storage unit in the calculation period, and the discharging amount of the energy storage unit is the sum of the discharging amount of the alternating current side of the energy storage unit in the calculation period;
step two: comparing the starting time T of the energy storage power stationsIs SOC ofsAnd an end time TeIs SOC ofeAfter the size of the two is changed, the electric quantity data is corrected by the specific method as follows:
1) if SOCs-SOCeIf | ≦ ε, then determine SOCs≈SOCe,0≤ε≤2%;
2) If SOCs-SOCe|>ε,0≤ε≤2%
If SOCs-SOCeIs greater than epsilon, assume arbitrary time a and corresponding SOCaSatisfy the requirement of
Figure FDA0002737750310000011
The solution set under the condition is a epsilon (a)1,a2,···,an) Then get TmMax (a), and corresponds to SOCm
Push button
Figure FDA0002737750310000012
Correction of wherein
Figure FDA0002737750310000013
If SOCe-SOCsIs greater than epsilon, assume arbitrary time b and corresponding SOCbSatisfy the requirement of
Figure FDA0002737750310000014
The solution set under the condition is b epsilon (b)1,b2,···,bn) Then get TmMin (b), and corresponds to SOCm
Push button
Figure FDA0002737750310000021
Correction of wherein
Figure FDA0002737750310000022
Step three: the comprehensive efficiency of the power station is the ratio of the on-grid electric quantity to the off-grid electric quantity in the production operation process of the energy storage power station in a calculation period, and a mathematical model of the comprehensive efficiency of the power station is established:
Figure FDA0002737750310000023
in the formula:
ηRESSthe comprehensive efficiency of the energy storage power station is shown,
Eonthe online electric quantity of the energy storage power station grid-connected point in a calculation period is represented, and the unit is kilowatt-hour;
Eoffthe offline electric quantity of the grid-connected point of the energy storage power station in a calculation period is represented in kilowatt-hour;
calculating T according to the total negative active value of the outlet terminal of the energy storage stationmTo TeOr TsTo TmIntegral electric quantity between, and is marked as Eoff_According to step two, E is obtainedoff_=ΔiIn which P isj<0,i=1,2;
Calculating T according to the total positive value of the outlet end of the energy storage stationmTo TeOr TsTo TmIntegral electric quantity between, and is marked as Eon_According to step two, E is obtainedon_=ΔiIn which P isj>0,i=1,2;
The calculation formula of the comprehensive efficiency of the power station is modified as follows:
Figure FDA0002737750310000024
step four: the power station energy storage loss rate is a ratio of the total electric energy loss of each energy storage unit in the charging, discharging and energy storage processes in the calculation period to the grid power quantity, and a mathematical model of the power station energy storage loss rate is established:
Figure FDA0002737750310000025
in the formula:
RESthe loss rate of the energy storage power station is shown,
∑ECthe total charge amount of each energy storage unit in a calculation period is represented and has a unit of kilowatt-hour;
∑EDthe sum of the discharge amount of each energy storage unit in a calculation period is expressed, and the unit is kilowatt-hour;
calculating T according to the total quantity of the negative active values of the ports of the energy storage unitsmTo TeOr TsTo TmIntegral electric quantity between, as ∑ EC_According to the second step, Σ E can be obtainedC_=∑ΔiIn which P isj<0,i=1,2;
Calculating T according to the total positive active values of the ports of the energy storage unitsmTo TeOr TsTo TmIntegral electric quantity between, as ∑ ED_According to the second step, Σ E can be obtainedD_=∑ΔiIn which P isj>0,i=1,2;
The calculation formula of the energy storage loss rate of the power station is modified as follows:
Figure FDA0002737750310000031
2. the SOC balance endpoint algorithm electrochemical energy storage power station energy efficiency index calculation method of claim 1, further comprising establishing an energy efficiency extension index mathematical model, wherein the energy efficiency extension index comprises power station equivalent cycle coefficient, incoming line interval loss rate, energy storage unit loss rate, transformer loss rate, battery loss rate, PCS loss rate, incoming line interval efficiency, energy storage unit efficiency and battery efficiency, and each type of correction power can be obtained according to the second step
Figure FDA0002737750310000032
Finally, an energy efficiency extension index mathematical model correction formula is obtained
Figure FDA0002737750310000033
The power station equivalent cycle coefficient is (total power station charge + total power station discharge)/(2 power station installed capacity); the incoming line interval loss rate is (incoming line interval off-grid electric quantity-incoming line interval on-grid electric quantity)/off-grid electric quantity; the loss rate of the energy storage unit is (the charge amount of the energy storage unit-the discharge amount of the energy storage unit)/the grid-off electric quantity; the transformer loss rate is equal to the incoming line interval loss rate-the energy storage unit loss rate ((incoming line interval off-grid electricity quantity-energy storage unit charge quantity) + (energy storage unit discharge quantity-incoming line interval on-grid electricity quantity))/off-grid electricity quantity; the battery loss rate is (PCS direct current side charging amount-PCS direct current side discharging amount)/grid-off electric quantity; the PCS loss rate is the loss rate of the energy storage unit-the battery loss rate ((the charging amount of the energy storage unit-the charging amount of the PCS direct current side) + (the discharging amount of the PCS direct current side-the discharging amount of the energy storage unit))/the power-off capacity; the incoming line interval efficiency is equal to incoming line interval upper network electric quantity/incoming line interval lower network electric quantity; the energy storage unit efficiency is equal to the discharge capacity of the energy storage unit/the charge capacity of the energy storage unit; the battery efficiency is PCS direct current side discharge capacity/PCS direct current side charge capacity.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102768318A (en) * 2012-08-03 2012-11-07 深圳市海亿达能源科技股份有限公司 Online energy consumption management device for energy using equipment and management control method thereof
CN103033715A (en) * 2012-12-25 2013-04-10 山东电力集团公司电力科学研究院 Operating status detection system for area equipment in converting station
JP2013073782A (en) * 2011-09-28 2013-04-22 Chugoku Electric Power Co Inc:The Breaker contact piece exhaustion amount management system
WO2014081967A1 (en) * 2012-11-21 2014-05-30 Atonometrics, Inc. Soiling measurement system for photovoltaic arrays
CN104635080A (en) * 2015-01-29 2015-05-20 国网河南省电力公司鹤壁供电公司 Method for predicating line loss rate of power grid
CN108414851A (en) * 2018-01-26 2018-08-17 广西电网有限责任公司 Intelligent check method based on EMS theoretical capacities data with acquisition electricity data
CN108802539A (en) * 2018-07-19 2018-11-13 国网上海市电力公司 A kind of energy storage power station grid connection test verification system and its verification method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013073782A (en) * 2011-09-28 2013-04-22 Chugoku Electric Power Co Inc:The Breaker contact piece exhaustion amount management system
CN102768318A (en) * 2012-08-03 2012-11-07 深圳市海亿达能源科技股份有限公司 Online energy consumption management device for energy using equipment and management control method thereof
WO2014081967A1 (en) * 2012-11-21 2014-05-30 Atonometrics, Inc. Soiling measurement system for photovoltaic arrays
CN103033715A (en) * 2012-12-25 2013-04-10 山东电力集团公司电力科学研究院 Operating status detection system for area equipment in converting station
CN104635080A (en) * 2015-01-29 2015-05-20 国网河南省电力公司鹤壁供电公司 Method for predicating line loss rate of power grid
CN108414851A (en) * 2018-01-26 2018-08-17 广西电网有限责任公司 Intelligent check method based on EMS theoretical capacities data with acquisition electricity data
CN108802539A (en) * 2018-07-19 2018-11-13 国网上海市电力公司 A kind of energy storage power station grid connection test verification system and its verification method

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