CN103326428A - Energy storage system operation optimization control method for prolonging service life of lithium battery - Google Patents
Energy storage system operation optimization control method for prolonging service life of lithium battery Download PDFInfo
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Abstract
The invention relates to an energy storage system operation optimization control method for prolonging the service life of a lithium battery. The energy storage system operation optimization control method is characterized by including the steps of according to experimental data of the maximum charging-discharging circulation time number of an energy storage battery under different charging-discharging depths, defining the charging-discharging circulation depth corresponding to the time when the maximum electric quantity can be handled under the different charging-discharging circulation depths in the service life cycle of the battery to be the standard charging-discharging circulation depth of the battery, and building a service life attenuation degree evaluation index of the battery under frequent and random charging-discharging occasions according to the degree of the battery operating charging-discharging circulation depth deviated from the standard charging-discharging depth. If a single battery energy storage system is used for completing the task of stabilizing contribution fluctuations, due to the randomness of wind power contributions and photovoltaic contributions, the battery operating charging-discharging circulation depth can not reach the standard charging-discharging depth. Based on the fact, the dual-battery energy storage unit main circuit structure and the coordination control strategy are designed, battery units are allowed to operate under the standard charging-discharging depth, and the energy storage life of the battery is prolonged to the maximum degree.
Description
Technical field
The present invention relates to a kind of energy-storage system operating and optimization control method that improves the lithium battery life-span.
Background technology
Wind power generation is pollution-free with it, primary energy can forever continue and the plurality of advantages such as uses and become the important selection that realizes the sustainable development of low-carbon (LC) electric power.But because wind energy has randomness, intermittence and can not Accurate Prediction, large-scale wind power is incorporated into the power networks and certainly will brings lot of challenges to operation, the scheduling of electric power system and controlling etc.Therefore, from the angle of power grid security economical operation, how improving the large-scale wind power controllable degree is the wind-electricity integration problem demanding prompt solution.
Energy-storage system be owing to can realize the space-time translation of electric energy, has fast response time, possesses and may form on a large scale, and be considered to the effective means improving fitful power controllability degree, improve its ability that is incorporated into the power networks.At present, consider the factors such as geographical position, installation period, battery energy storage is with a wide range of applications at the new forms of energy access field, and cycle life is hanged down and the constraint of cost but battery energy storage is subject to.Therefore, how can improve the useful life of battery in Effective Raise large-scale wind power access capability, be the key that battery energy storage is used in new forms of energy access engineering thereby reduce its use cost.Because the randomness that new forms of energy are exerted oneself, cause the uncertainty of the charge and discharge cycles degree of depth of battery energy storage system, battery energy storage system is in frequently discharge and recharge the operating state in conversion and incomplete charge and discharge cycles cycle, brings adverse effect to useful life and the economy of battery energy storage system.
Summary of the invention
In order to solve the problems referred to above that exist when battery energy storage is applied to the new forms of energy access, the invention provides a kind of energy-storage system operating and optimization control method that improves the lithium battery life-span, solved battery energy storage and operated in the problem of when frequently discharging and recharging conversion and incomplete charge and discharge cycles cycling state being brought adverse effect the battery energy storage life-span.
To achieve these goals, the invention provides a kind of energy-storage system operating and optimization control method that improves the lithium battery life-span, it is characterized in that: described control method is to have set up lithium battery life-span influence of fading degree evaluation index by the degree that the lithium battery energy storage battery operation charge and discharge cycles degree of depth departs from the standard charge and discharge cycles degree of depth, and finish the problem that the task charge and discharge cycles degree of depth departs from the standard charge and discharge cycles degree of depth of stabilizing for single battery energy storage, designed double cell energy-storage units main circuit structure and made battery energy storage operate in the coordination control strategy that standard discharges and recharges the degree of depth, specifically may further comprise the steps:
1) standard discharges and recharges the definition of the degree of depth
Battery energy storage is carried out the charging task, and state-of-charge SOC is by initial value S
0Corresponding stop value S when rising to the charging task and finishing
e, then carrying out the discharge task, state-of-charge SOC is by S
eBegin to descend, until drop to S
0, charge and discharge cycles depth delta SOC=S corresponding to battery charging and discharging circulation primary this moment
e-S
0In battery life cycle, the electric weight that battery operation is handled up when different Δ SOC is different, and the corresponding Δ SOC of its maximum electric weight of handling up is defined as standard charge and discharge cycles depth delta SOC
b, Δ SOC
bBe the optimum state of energy-storage lithium battery operation, can farthest prolong the energy-storage battery life-span;
2) find the solution the corresponding maximum charge and discharge cycles number of times of different charge and discharge cycles depth delta SOC
Operate in Δ SOC=according to lithium battery
xCorresponding maximum charge and discharge cycles times N with it
m|
Δ SOC=
x Experimental data, its relation is carried out match, fitting function is formula (1), calculates the inherent S of lithium battery life cycle by formula (1)
0=0 to S
e=
xMaximum charge and discharge cycles number of times between the ∈ (0,1);
3) calculate the charge value of handling up when operating in different Δ SOC in the lithium battery life cycle
Obtain lithium battery according to formula (1) and operate in Δ SOC=
xMaximum charge and discharge cycles number of times and this Δ SOC under the charge and discharge cycles charge value E that once can handle up
1Calculate lithium battery and in life cycle, operate in Δ SOC=
xShi Suoneng total electric weight E that handles up
m|
Δ SOC=
x , its computing formula is formula (2);
Wherein: E is the rated capacity of energy-storage lithium battery,
xBe the charge and discharge cycles degree of depth;
4) lithium battery standard charge and discharge cycles depth delta SOC
bDetermine
Be defined as the Standard clectrical quantity E that handles up in the lithium battery life cycle in the lower total electric weight maximum of handling up of different Δ SOC in the lithium battery life cycle that calculates according to formula (2)
b, the lithium battery Standard clectrical quantity E that handles up then
bCorresponding Δ SOC is standard charge and discharge cycles depth delta SOC
b
Life-span attenuation degree evaluation index when 5) lithium battery operates in different Δ SOC
Only considering under the prerequisite of Δ SOC to the battery life influence of fading, operating under the different Δ SOC the analysis of its life-span influence of fading degree in order to describe lithium battery, introducing lithium battery operation Δ SOC and departed from Δ SOC
bDegree estimate the battery operation degree of optimization, with variable ε portrayal, be defined as following formula (3);
When ε=0, illustrate that battery operation is at Δ SOC
b, the maximum electric weight of handling up in life cycle is the optimum operation operating state of battery, the useful life that can at utmost improve battery energy storage; When ε was larger, the electric weight of handling up in the life cycle was less, and is then larger to battery life influence of fading degree, ε concentrated expression lithium battery when operating in different Δ SOC to the influence degree of battery life decay;
6) double cell energy-storage units main circuit structure
The monocell energy storage is when being applied to the new forms of energy access, because the randomness that new forms of energy are exerted oneself can make battery energy storage be in and frequently discharge and recharge conversion and imperfect charge and discharge cycles process, by step 5) as can be known, battery energy storage operation Δ SOC departs from Δ SOC
bDegree ε is larger, larger to battery life influence of fading degree, in order to reduce battery operation Δ SOC to the adverse effect in battery energy storage life-span, designed double cell energy storage main circuit structure, allow battery energy storage A, B unit bear separately the charge or discharge task, make battery energy storage operate in as far as possible Δ SOC
b, the useful life of improving battery energy storage;
Running status when 7) the double cell energy-storage units is finished once complete charge and discharge cycles process
Double cell energy storage A, B finishes the unit that running status is battery energy storage A in charge and discharge cycles process, the B unit is by initial condition, it is defined as A and is responsible for charging, B is responsible for discharge, run to critical transition status 1, it is defined as A and is responsible for charging and changes discharge into, B is responsible for discharge and changes charging into, then move to critical transition status 2 always, it is defined as A and is responsible for discharge and changes charging into, B is responsible for charging and changes discharge into, if battery energy storage A, B unit initial condition is that A is responsible for discharge, B is responsible for charging, double cell energy storage A then, it is to critical transition status 2, then to critical transition status 1 by initial condition that B finishes once in the complete charge and discharge cycles process running status;
8) double cell energy storage coordination control strategy
Complete charge and discharge cycles process is finished once in double cell energy storage A, B unit need experience a plurality of stages, the various control decision-making was arranged within the same stage, and control decision is different within the different stages, is a multistage decision process so double cell energy storage A, B coordinate control; Battery energy storage A unit state-of-charge SOC
AWith battery energy storage B unit state-of-charge SOC
BCan record double cell energy storage A, therefore complete cycle charge discharge electric process is finished once in the B unit, with its state variable as energy-storage battery; Discharge and recharge the degree of depth as can be known according to the battery energy storage standard, at battery charging and discharging depth of round Δ SOC=Δ SOC
bThe time minimum on battery life attenuation degree impact, so when the initial condition of double cell energy storage A, B unit be battery energy storage A unit be responsible for charging, when battery energy storage B unit is responsible for discharging, battery energy storage A, B unit initial condition state variable constrain value are SOC
A(0)=(1-Δ SOC
b)/2, SOC
B(0)=(1+ Δ SOC
b)/2, critical transition status 1 state variable constrain value is SOC
A(1)=(1+ Δ SOC
b)/2, SOC
B(1)=(1-Δ SOC
b)/2, critical transition status 2 state variable constrain values are SOC
A(2)=(1-Δ SOC
b)/2, SOC
B(2)=(1+ Δ SOC
b)/2, double cell energy storage A, B unit charge and discharge cycles process are divided into following 4 stages; Double cell energy-storage units running status is in stage 1 process, at state variable SOC
A＜SOC
A(1) and SOC
BSOC
B(1) constraint is lower, when battery energy storage system need be carried out the charging task, the charging task is carried out in battery energy storage A unit, the B unit is in off position, when battery energy storage system need be carried out the discharge task, the discharge task is carried out in battery energy storage B unit, the A unit is in off position, and its state transition equation is formula (4);
Wherein: SOC
A(k-1), SOC
B(k-1) be a running status variable on battery energy storage A, the B unit; SOC
A(k), SOC
B(k) be battery energy storage A, B unit running status variable this moment; K and k-1 are current sampling instant and a upper sampling instant; P
A.c(k) and P
B.d(k) be battery energy storage A unit charge power and battery energy storage B cell discharge power; η
A.cAnd η
B.dBe battery energy storage A unit charge efficiency and battery energy storage B cell discharge efficient; E
AAnd E
BRated capacity for battery energy storage A, B unit;
Double cell storage energy operation state is in stages 2 process, at state variable SOC
A=SOC
A(1) or SOC
B=SOC
B(1) constraint is lower, when battery energy storage system need be carried out the discharge task, the charging task changes execution discharge task into, the B unit is in off position by carrying out in battery energy storage A unit, when battery energy storage system need be carried out the charging task, the discharge task changed execution charging task into, the A unit is in off position by carrying out in battery energy storage B unit; Double cell storage energy operation state is in stages 3 process, at state variable SOC
ASOC
A(2) and SOC
B＜SOC
B(2) constraint is lower, when battery energy storage system need be carried out the discharge task, the discharge task is carried out in battery energy storage A unit, the B unit is in off position, when battery energy storage system need be carried out the charging task, the charging task is carried out in battery energy storage B unit, the A unit is in off position, and its state transition equation is formula (5);
(5)
Wherein: P
A.d(k) and P
B.c(k) be battery energy storage A cell discharge power and battery energy storage B unit charge power; η
A.dAnd η
B.cBe battery energy storage A cell discharge efficient and battery energy storage B unit charge efficiency;
Double cell storage energy operation state is in stages 4 process, at state variable SOC
A=SOC
A(2) or SOC
B=SOC
B(2) constraint is lower, when battery energy storage system need be carried out the charging task, the discharge task changes execution charging task into, the B unit is in off position by carrying out in battery energy storage A unit, when battery energy storage system need be carried out the discharge task, the charging task changed execution discharge task into, the A unit is in off position by carrying out in battery energy storage B unit.
A kind of energy-storage system operating and optimization control method that improves the lithium battery life-span provided by the invention can solve the monocell stored energy application exists the operating state that frequently discharges and recharges conversion and incomplete charge and discharge cycles cycle when new forms of energy access problem compared with the prior art; The method has been determined battery energy storage corresponding standard charge and discharge cycles degree of depth when being operated in optimal operational condition, and departs from Δ SOC according to battery operation Δ SOC
bDegree set up battery life influence of fading degree evaluation index; For the charge and discharge cycles degree of depth is away from the problem of the standard charge and discharge cycles degree of depth in the monocell storage energy operation process, the double cell energy-storage units can operate in Δ SOC according to designed coordination control strategy
b, optimized battery energy storage unit running, in the useful life of having improved battery energy storage, having preferably, practical engineering application is worth.
Description of drawings
The different Δ SOC of Fig. 1 and maximum charge and discharge cycles number of times graph of relation;
The graph of relation of maximum throughput electric weight under the different Δ SOC of Fig. 2 and this Δ SOC;
Fig. 3 wind energy turbine set can send out power, be incorporated into the power networks target power and energy-storage battery are handled up reference power curve chart;
Fig. 4 upper strata target and each energy-storage units power division block diagram;
Fig. 5 discharges and recharges the probability distribution graph that number of times is in Δ SOC interval;
Fig. 6 wind/energy-storage system cooperation main circuit schematic diagram;
Fig. 7 double cell energy-storage units charge and discharge cycles process schematic diagram;
The energy storage of Fig. 8 double cell is at each stage running control strategy flow chart;
Fig. 9 double cell energy-storage units power of handling up;
Figure 10 double cell energy-storage units operation state-of-charge curve chart.
Embodiment
The below utilizes drawings and Examples that a kind of energy-storage system operating and optimization control method that improves the lithium battery life-span of the present invention is described further.
This example is in conjunction with the basic parameter of the extensive battery energy storage system of the actual construction of domestic somewhere wind energy turbine set, can send out power by the segmentation mean algorithm to wind energy turbine set processes under the scene as the target power of wind energy turbine set and energy-storage system cooperation, based on battery life attenuation degree evaluation index battery energy storage operation degree of optimization is estimated, simultaneously the battery energy storage that makes that proposes is operated in Δ SOC
bDouble cell energy storage coordination control strategy verify.
The embodiment design conditions are described as follows:
Maximum charge and discharge cycles time logarithmic data when (1) lithium battery operates in different Δ SOC in life cycle;
(2) wind energy turbine set is comprised of 33 1.5MW double-fed induction Wind turbines, its incision wind speed v
i, rated wind speed v
r, cut-out wind speed v
oBe respectively 3m/s, 11.3m/s, 20m/s; Data sampling time interval T
s=10s; Segmentation average time window T=1h;
(3) energy-storage system adopts lithium battery energy storage battery, and monocell energy storage rated capacity is 5MW * 2h, and rated power is 5MW; Battery energy storage A unit and battery energy storage B unit rated capacity all are 5MW * 2h, and rated power is 5MW; The ultracapacitor rated capacity is 0.4MWh, and rated power is 5MW; Efficiency for charge-discharge is η=0.9.
Under above-mentioned design conditions, use the inventive method as follows to the correlation computations result that the energy-storage system that improves the lithium battery life-span moves optimal control:
1. find the solution the corresponding maximum charge and discharge cycles number of times of different Δ SOC
Calculate battery operation according to formula (1) and discharge and recharge number of times in the largest loop of different Δ SOC, such as accompanying drawing 1 dotted line, with the actual experiment curve comparison as can be known: fitting precision is better;
2. calculate the charge value of handling up of different Δ SOC in the lithium battery life cycle
According to formula (2), according to above-mentioned design conditions, can calculate the maximum electric weight that lithium battery can be handled up in the life cycle under different Δ SOC, its occurrence is as shown in Figure 2;
3. lithium battery standard charge and discharge cycles depth delta SOC
bDetermine
By accompanying drawing 2 as can be known, battery energy storage charge and discharge cycles depth delta SOC is in 0 ~ 0.95 when interval, increases progressively along with Δ SOC increases the battery electric weight of handling up, and is in 0.95 ~ 1 when interval at Δ SOC, successively decreases along with Δ SOC increases the battery electric weight of handling up.The charge value maximum so battery energy storage is handled up when Δ SOC=0.95 is so the standard of this lithium battery discharges and recharges degree Δ SOC
b=0.95;
4. when lithium battery operates in different Δ SOC to life-span attenuation degree evaluation index
By accompanying drawing 2 as can be known, when lithium battery Δ SOC is in 0 ~ 0.95 when interval, along with the increase of Δ SOC, calculate as can be known ε value along with reducing by formula (3), lithium battery total electric weight increase of handling up in life cycle reduces the impact of the attenuation degree of battery life; When lithium battery Δ SOC=0.95, calculate as can be known ε=0 according to formula (3), handle up in life cycle total electric weight of battery is maximum, is the optimum operation operating state of lithium battery; SOC is in 0.95 ~ 1.0 interval when the lithium battery Δ, along with the increase of Δ SOC, calculates as can be known the ε value along with increase by formula (3), and lithium battery total electric weight of handling up in life cycle reduces, and the impact of the attenuation degree of battery life is increased.As seen from the above analysis, battery is carried out when discharging and recharging task, and carrying capacity " entirely fill entirely and put " strategy between 0 to 0.95 can farthest prolong the life-span that battery uses;
5. double cell energy-storage units main circuit structure
3 as can be known with reference to the accompanying drawings: at first wind energy turbine set can be sent out power and can get wind energy turbine set target power P through the segmentation mean algorithm
Out, secondly can send out power P by wind energy turbine set
WindWith wind energy turbine set target power P
OutDifference obtain the upper strata target power P of energy-storage system
Ref, the process power management block obtains the reference power P of battery energy storage again
LIts power curve as shown in Figure 4;
Power management block comprises that the stagnant ring control, low-pass filtering control and the self-capacity that reduce energy-storage system molar behavior number of times and power constraint control three parts and form;
Single energy-storage battery is according to the reference value power P of accompanying drawing 3 battery energy storages
LOperation is by carrying out probability statistics to the battery cycle charge-discharge number of times that is in different Δ SOC interval, as shown in Figure 5;
By accompanying drawing 5 as can be known: operation Δ SOC mainly was in [0,0.05] this interval when single battery energy storage was finished the reference power task, its away from battery standard discharge and recharge depth delta SOC
b=0.95, larger on the attenuation degree impact of battery energy storage life-span;
Problem based on single battery energy storage exists operates in Δ SOC in order to make battery energy storage
b, based on the basis of hybrid energy-storing monocell energy-storage units structure being replaced with double cell energy-storage units structure, wind storage cooperation main circuit structure as shown in Figure 6;
6. the running status when the double cell energy-storage units is finished once complete charge and discharge process
Can be found out by accompanying drawing 7 double cell energy-storage units charge and discharge cycles processes: double cell energy-storage units A, B bear respectively the charge or discharge task.After the conversion of initial condition arrival critical condition, the alternately variation between critical condition conversion 1 and critical condition conversion 2 of its running status;
7. double cell energy storage coordination control strategy
Under double cell energy storage A, the coordination control strategy of B unit in accompanying drawing 8, according to the battery energy storage reference power P in the accompanying drawing 3
LOperation, its operation curve and state-of-charge curve are respectively such as accompanying drawing 9 and 10.
By accompanying drawing 9 and 10 as can be known: at first at 0 ~ 14.3h in the time period, in battery energy storage A, B unit operation phase 1 process, battery energy storage A unit begins to be in charged state always and battery energy storage B unit is in discharge condition always, its running status variable SOC
AAnd SOC
BCalculate as can be known at 14.3h constantly by formula (4), battery energy storage A unit reaches first the binding occurrence SOC of critical transition status 1
A(1)=0.975, battery A unit and energy-storage battery B units alternately change its charging and discharging state; Then at 14.3 ~ 21.1h in the time period, battery energy storage A, B unit operate in the process in stage 3 always, and battery energy storage A unit is in discharge condition always, and battery energy storage B unit is in its running status variable of charged state SOC
AAnd SOC
BConstantly reach first critical transition status 2 state variable constrain value SOC in battery A unit at 21.1h as can be known by formula (5) calculating
A(2)=0.025, battery energy storage A unit and B unit all revert to the initial charge/discharge state.By this four-stage simulation analysis that battery energy storage A, B unit move, double cell energy storage A, B unit coordination control strategy have been verified in the cycle charge discharge electric process.
By accompanying drawing 10 as can be known: calculating as can be known according to formula (3), double cell energy storage A, B unit operation Δ SOC depart from Δ SOC
bDegree ε is respectively ε
A=0, ε
B=0.09.Then double cell energy storage A, B unit operate in standard charge and discharge cycles depth delta SOC as far as possible under its control strategy
b, at utmost improved battery.
Design conditions in the embodiment of the invention, legend, table etc. are only for the present invention is further illustrated; and non exhaustive; do not consist of the restriction to the claim protection range; the enlightenment that those skilled in the art obtain according to the embodiment of the invention; just can expect that without creative work other is equal in fact alternative, all in protection range of the present invention.
Claims (1)
1. energy-storage system operating and optimization control method that improves the lithium battery life-span, it is characterized in that: it may further comprise the steps:
Standard discharges and recharges the definition battery energy storage of the degree of depth and carries out the charging task, and state-of-charge SOC is by initial value S
0Corresponding stop value S when rising to the charging task and finishing
e, then carrying out the discharge task, state-of-charge SOC is by S
eBegin to descend, until drop to S
0, charge and discharge cycles depth delta SOC=S corresponding to battery charging and discharging circulation primary this moment
e-S
0In battery life cycle, the electric weight that battery operation is handled up when different Δ SOC is different, and the corresponding Δ SOC of its maximum electric weight of handling up is defined as standard charge and discharge cycles depth delta SOC
b, Δ SOC
bBe the optimum state of energy-storage lithium battery operation, can farthest prolong the energy-storage battery life-span;
2) find the solution the corresponding maximum charge and discharge cycles number of times of different charge and discharge cycles depth delta SOC
Operate in Δ SOC=according to lithium battery
xCorresponding maximum charge and discharge cycles times N with it
m|
Δ SOC=
x Experimental data, its relation is carried out match, fitting function is formula (1), calculates the inherent S of lithium battery life cycle by formula (1)
0=0 to S
e=
xMaximum charge and discharge cycles number of times between the ∈ (0,1);
3) calculate the charge value of handling up when operating in different Δ SOC in the lithium battery life cycle
Obtain lithium battery according to formula (1) and operate in Δ SOC=
xMaximum charge and discharge cycles number of times and this Δ SOC under the charge and discharge cycles charge value E that once can handle up
1Calculate lithium battery and in life cycle, operate in Δ SOC=
xShi Suoneng total electric weight E that handles up
m|
Δ SOC=
x , its computing formula is formula (2);
Wherein: E is the rated capacity of energy-storage lithium battery,
xBe the charge and discharge cycles degree of depth;
4) lithium battery standard charge and discharge cycles depth delta SOC
bDetermine
Be defined as the Standard clectrical quantity E that handles up in the lithium battery life cycle in the lower total electric weight maximum of handling up of different Δ SOC in the lithium battery life cycle that calculates according to formula (2)
b, the lithium battery Standard clectrical quantity E that handles up then
bCorresponding Δ SOC is standard charge and discharge cycles depth delta SOC
b
Life-span attenuation degree evaluation index when 5) lithium battery operates in different Δ SOC
Only considering under the prerequisite of Δ SOC to the battery life influence of fading, operating under the different Δ SOC the analysis of its life-span influence of fading degree in order to describe lithium battery, introducing lithium battery operation Δ SOC and departed from Δ SOC
bDegree estimate the battery operation degree of optimization, with variable ε portrayal, be defined as following formula (3);
（3）
When ε=0, illustrate that battery operation is at Δ SOC
b, the maximum electric weight of handling up in life cycle is the optimum operation operating state of battery, the useful life that can at utmost improve battery energy storage; When ε was larger, the electric weight of handling up in the life cycle was less, and is then larger to battery life influence of fading degree, ε concentrated expression lithium battery when operating in different Δ SOC to the influence degree of battery life decay;
6) double cell energy-storage units main circuit structure
The monocell energy storage is when being applied to the new forms of energy access, because the randomness that new forms of energy are exerted oneself can make battery energy storage be in and frequently discharge and recharge conversion and imperfect charge and discharge cycles process, by step 5) as can be known, battery energy storage operation Δ SOC departs from Δ SOC
bDegree ε is larger, larger to battery life influence of fading degree, in order to reduce battery operation Δ SOC to the adverse effect in battery energy storage life-span, designed double cell energy storage main circuit structure, allow battery energy storage A, B unit bear separately the charge or discharge task, make battery energy storage operate in as far as possible Δ SOC
b, the useful life of improving battery energy storage;
Running status when 7) the double cell energy-storage units is finished once complete charge and discharge cycles process
Double cell energy storage A, B finishes the unit that running status is battery energy storage A in charge and discharge cycles process, the B unit is by initial condition, it is defined as A and is responsible for charging, B is responsible for discharge, run to critical transition status 1, it is defined as A and is responsible for charging and changes discharge into, B is responsible for discharge and changes charging into, then move to critical transition status 2 always, it is defined as A and is responsible for discharge and changes charging into, B is responsible for charging and changes discharge into, if battery energy storage A, B unit initial condition is that A is responsible for discharge, B is responsible for charging, double cell energy storage A then, it is to critical transition status 2, then to critical transition status 1 by initial condition that B finishes once in the complete charge and discharge cycles process running status;
8) double cell energy storage coordination control strategy
Complete charge and discharge cycles process is finished once in double cell energy storage A, B unit need experience a plurality of stages, the various control decision-making was arranged within the same stage, and control decision is different within the different stages, is a multistage decision process so double cell energy storage A, B coordinate control; Battery energy storage A unit state-of-charge SOC
AWith battery energy storage B unit state-of-charge SOC
BCan record double cell energy storage A, therefore complete cycle charge discharge electric process is finished once in the B unit, with its state variable as energy-storage battery; Discharge and recharge the degree of depth as can be known according to the battery energy storage standard, at battery charging and discharging depth of round Δ SOC=Δ SOC
bThe time minimum on battery life attenuation degree impact, so when the initial condition of double cell energy storage A, B unit be battery energy storage A unit be responsible for charging, when battery energy storage B unit is responsible for discharging, battery energy storage A, B unit initial condition state variable constrain value are SOC
A(0)=(1-Δ SOC
b)/2, SOC
B(0)=(1+ Δ SOC
b)/2, critical transition status 1 state variable constrain value is SOC
A(1)=(1+ Δ SOC
b)/2, SOC
B(1)=(1-Δ SOC
b)/2, critical transition status 2 state variable constrain values are SOC
A(2)=(1-Δ SOC
b)/2, SOC
B(2)=(1+ Δ SOC
b)/2, double cell energy storage A, B unit charge and discharge cycles process are divided into following 4 stages; Double cell energy-storage units running status is in stage 1 process, at state variable SOC
A＜SOC
A(1) and SOC
BSOC
B(1) constraint is lower, when battery energy storage system need be carried out the charging task, the charging task is carried out in battery energy storage A unit, the B unit is in off position, when battery energy storage system need be carried out the discharge task, the discharge task is carried out in battery energy storage B unit, the A unit is in off position, and its state transition equation is formula (4);
Wherein: SOC
A(k-1), SOC
B(k-1) be a running status variable on battery energy storage A, the B unit; SOC
A(k), SOC
B(k) be battery energy storage A, B unit running status variable this moment; K and k-1 are current sampling instant and a upper sampling instant; P
A.c(k) and P
B.d(k) be battery energy storage A unit charge power and battery energy storage B cell discharge power; η
A.cAnd η
B.dBe battery energy storage A unit charge efficiency and battery energy storage B cell discharge efficient; E
AAnd E
BRated capacity for battery energy storage A, B unit;
Double cell storage energy operation state is in stages 2 process, at state variable SOC
A=SOC
A(1) or SOC
B=SOC
B(1) constraint is lower, when battery energy storage system need be carried out the discharge task, the charging task changes execution discharge task into, the B unit is in off position by carrying out in battery energy storage A unit, when battery energy storage system need be carried out the charging task, the discharge task changed execution charging task into, the A unit is in off position by carrying out in battery energy storage B unit; Double cell storage energy operation state is in stages 3 process, at state variable SOC
ASOC
A(2) and SOC
B＜SOC
B(2) constraint is lower, when battery energy storage system need be carried out the discharge task, the discharge task is carried out in battery energy storage A unit, the B unit is in off position, when battery energy storage system need be carried out the charging task, the charging task is carried out in battery energy storage B unit, the A unit is in off position, and its state transition equation is formula (5);
Wherein: P
A.d(k) and P
B.c(k) be battery energy storage A cell discharge power and battery energy storage B unit charge power; η
A.dAnd η
B.cBe battery energy storage A cell discharge efficient and battery energy storage B unit charge efficiency; Double cell storage energy operation state is in stages 4 process, at state variable SOC
A=SOC
A(2) or SOC
B=SOC
B(2) constraint is lower, when battery energy storage system need be carried out the charging task, the discharge task changes execution charging task into, the B unit is in off position by carrying out in battery energy storage A unit, when battery energy storage system need be carried out the discharge task, the charging task changed execution discharge task into, the A unit is in off position by carrying out in battery energy storage B unit.
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