CN105071442A - Island type micro-power-grid energy storage control method based on consistency algorithm - Google Patents

Abstract

The invention provides an island type micro-power-grid energy storage control method based on a consistency algorithm. The method includes the steps: detecting the charge state of a super capacitor and the power the super capacitor is output to a micro-power-grid; determining whether the charge state of the super capacitor reaches a limit value, and triggering a state limit outer ring to make the micro-power-grid run in a state limit mode if the charge state of the super capacitor reaches the limit value, otherwise, the micro-power-grid runs in a normal mode; calculating the total reference output power of a storage battery through a self-adaptive control inner ring on the basis of the actual reference output of the super capacitor in different running modes; sharing the total rated power of a storage battery in the micro-power-grid and the total reference output power of the storage battery through the consistency algorithm; and through the shared information, guiding the output power by the storage batteries according to the proportion of the rated power of each battery member to the total rated power of the storage battery. Distributed control over the micro-power-grid can be achieved. Meanwhile, the control method helps to solve the problem that a conventional hybrid energy storage control strategy cannot effectively handle a situation that the electric quantity stored by an energy storage element is too high or too low.

Description

A kind of isolated island type micro-capacitance sensor energy storage control method based on consistency algorithm

Technical field

The present invention relates to the control method for coordinating of each power supply in micro-capacitance sensor, particularly relate to a kind of isolated island type micro-capacitance sensor energy storage control strategy based on consistency algorithm.

Background technology

In the isolated island type micro-capacitance sensor of ultracapacitor, batteries, photovoltaic array, wind-driven generator and diesel engine generator composition, the impact of the power output climate condition of photovoltaic array and wind-driven generator is comparatively large, can cause the imbalance of electric energy supply and demand in system.When ultracapacitor is as main power source, the supply and demand of electric energy, once there is energy imbalance continually, will cause the sharply change of ultracapacitor state-of-charge.

Conventional hybrid energy-storing control strategy general means is comparatively simple, and is often all in schedulable state based on energy-storage travelling wave tube, for the situation that energy-storage travelling wave tube storing electricity is too high or too low, does not then consider.And in actual motion, once the state-of-charge of ultracapacitor reaches limit value, can cause the voltage of micro-capacitance sensor and frequency out of hand.In addition, if control strategy is selected unreasonable, for ensureing that ultracapacitor state-of-charge reaches in limits, exerting oneself of batteries will be adjusted continually.

Conventional hybrid energy-storing control strategy is generally under centerized fusion mode, needs center management system to the transmission of the acquisition and instruction that realize information.But this control mode has communication bottleneck, center management system exists potential safety hazard, can not successfully manage the problems such as microgrid topology structure change.

Therefore, be state-of-charge that is stable, effectively adjustment ultracapacitor, meanwhile, be meet the demand controlled in real time better, urgently propose one and can realize distributed AC servo system, and can the control method of adaptively changing ultracapacitor state-of-charge.

Summary of the invention

The object of the present invention is to provide a kind of isolated island type micro-capacitance sensor energy storage control method based on consistency algorithm, can stablize, effectively adjust ultracapacitor state-of-charge.

For achieving the above object, present invention employs following technical scheme:

Step 1: detect the power that the state-of-charge of ultracapacitor in isolated island type micro-capacitance sensor and described ultracapacitor export to described micro-capacitance sensor;

Step 2: judge whether the state-of-charge of described ultracapacitor reaches limit value; If reach limit value, then trigger state restriction outer shroud, regulated the reference output power of described ultracapacitor by PI link, now, described micro-capacitance sensor runs on state limit pattern; If do not reach limit value, then described micro-capacitance sensor runs on normal mode;

Step 3: according to the actual reference output power of ultracapacitor described under different operational mode, through adaptive control inner ring, calculates to obtain the actual reference output power that batteries is total in described micro-capacitance sensor;

Step 4: the actual reference output power that the described batteries utilizing consistency algorithm to share to calculate in the total rated power of described batteries and step 3 is total;

Step 5: utilize step 4 to share the information obtained, the ratio that in described batteries, each storage battery accounts for the total rated power of described batteries according to self rated power instructs power output.

In step 2, when described ultracapacitor state-of-charge reaches limit value, described micro-capacitance sensor is switched to state limit pattern, in this mode, the actual reference output power of described ultracapacitor is calculated by following formula:

$P_{SCref}^{\′}=(K_p+\frac{K_i}{s})({\mathrm{SOC}}_{SC}-{\mathrm{SOC}}_{SCref})---\left(1\right)$

$\left\{\begin{array}{c}{P}_{SCref}=P_{SC\max },P_{SCref}\&GreaterEqual;P_{SCmax}\\ P_{SCref}=P_{SC\min },P_{SCref}\&le;P_{SC\min }\\ P_{SCref}=P_{SCref}^{\&prime;},P_{SC\min }<P_{SCref}<P_{SCmax}\end{array}\right.---\left(2\right)$

In formula (1), K _pand K _ibe respectively proportionality coefficient and the integration time constant of PI link; SOC _sCfor the state-of-charge actual value of ultracapacitor; SOC _sCreffor the state-of-charge reference value of ultracapacitor; P ' _sCreffor the ultracapacitor power output reference value obtained through PI link; In formula (2), P _sCmaxand P _sCminbe respectively peak power output and the minimum output power of ultracapacitor; P _sCreffor the actual reference output power of ultracapacitor;

If do not reach limit value, then described micro-capacitance sensor runs on normal mode, and now, the actual reference output power of described ultracapacitor is:

P _SCref＝f(P _ss,P _batref)(3)

Wherein, P _ssfor the power shortage of the system stability that adaptive control inner ring obtains through PI link, P _batreffor the actual reference output power that batteries is total, the calculating of formula (3) is subject to the impact of adaptive control inner ring:

Work as P _batmin≤ P _ss≤ P _batmaxtime,

P _SCref＝0(4)

Work as P _ss<P _batmin<0 or P _ss>P _batmaxduring >0,

P _SCref＝P _ss-P _batref(5)

Wherein, P _sCreffor negative indication charging, P _sCreffor just representing electric discharge, P _batmaxand P _batminbe respectively power upper limit value and the lower limit of batteries.

The total actual reference output power of batteries described in step 3 is obtained by following methods:

The power exported to described micro-capacitance sensor by described ultracapacitor and the actual reference output power of described ultracapacitor do the instantaneous power vacancy that namely difference obtains described micro-capacitance sensor, then power shortage P when obtaining system stability by PI link _ssif, P _sswithin the scope of the power limit of described batteries, the actual reference output power P that now batteries is total _batrefwith P _ssequal; Otherwise, the actual reference output power P that batteries is total _batreffor the power up/down limit value of batteries, P _batreffor negative indication charging, P _batreffor just representing electric discharge.

Described step 4) specifically comprise the following steps:

4.1) utilize consistency algorithm to calculate the total N of storage battery in described micro-capacitance sensor;

4.2) utilize consistency algorithm to calculate the average value P of the rated power that batteries is total in described micro-capacitance sensor _total/ N, by the 4.1st) the total N of storage battery in the described micro-capacitance sensor calculated of step, the rated power P that batteries in described micro-capacitance sensor is total can be calculated _total=P _total/ N*N;

4.3) utilize consistency algorithm to calculate the average value P of the actual reference output power that batteries is total in described micro-capacitance sensor _batref/ N, by the 4.1st) the total N of storage battery in the described micro-capacitance sensor calculated of step, the actual reference output power P that batteries in described micro-capacitance sensor is total can be calculated _batref=P _batref/ N*N.

In step 5, the reference output power of each storage battery presses formula (6) acquisition:

P _batref,i＝P _batrefP _i/P _total(6)

Wherein, P _ifor the rated power of storage battery i, P _{batref, i}for the reference output power of storage battery i, P _batreffor the actual reference output power that batteries is total.

Beneficial effect of the present invention is: the present invention carries state limit outer shroud, using ultracapacitor state-of-charge as controlled device, the actual reference of ultracapacitor is regulated to exert oneself by PI link, the state-of-charge of ultracapacitor can be made to return to reference levels, and the power output of ultracapacitor and state-of-charge all present slow change, solve existing hybrid energy-storing control strategy and fail to successfully manage the too high or too low situation of energy-storage travelling wave tube storing electricity.Simultaneously, the present invention utilizes consistency algorithm to share the total rated power of batteries in micro-capacitance sensor and reference output power, the reference output power of each storage battery can be obtained easily, the distributed AC servo system of micro-capacitance sensor can be realized, and successfully manage the problem such as communication bottleneck, microgrid topology structure change.Control strategy of the present invention is applicable to the reality that China exists hybrid energy-storing micro-capacitance sensor in a large number, can be applicable to ultracapacitor as in the control mode of main power source.On the other hand, in micro-capacitance sensor, photovoltaic array and the impact of wind power generation climate are seriously, may occur that net load level is quick, the situation of wide variation, the control strategy that the present invention carries can produce the reference output power information of ultracapacitor and batteries, can be the real-time power output of each power supply in micro-capacitance sensor and provides technological guidance.Adopt master & slave control, ultracapacitor as main power source, the change of net load demand in preferential answering micro-capacitance sensor.

Accompanying drawing explanation

Fig. 1 is the isolated island type micro-capacitance sensor energy storage control strategy schematic flow sheet based on consistency algorithm of the present invention;

Fig. 2 is state limit outer shroud and normally runs outer shroud;

Fig. 3 is adaptive control inner ring.

Embodiment

Below in conjunction with drawings and Examples, the invention will be further described.But content of the present invention is not only limited to so.

See Fig. 1, a kind ofly consider based on consistency algorithm the hybrid energy-storing control strategy that state-of-charge limits, these control strategy concrete steps are as follows:

1st step: the actual state-of-charge detecting ultracapacitor and the power exported to micro-capacitance sensor thereof;

2nd step: judge whether ultracapacitor state-of-charge reaches limit value;

Consult Fig. 2, when ultracapacitor state-of-charge reaches limit value, by system for managing state, whole micro-capacitance sensor is switched to state limit operational mode.In this mode, the actual reference output power of ultracapacitor is obtained by following formula:

$P_{SCref}^{\&prime;}=(K_p+\frac{K_i}{s})({\mathrm{SOC}}_{SC}-{\mathrm{SOC}}_{SCref})---\left(1\right)$

$\left\{\begin{array}{c}{P}_{SCref}=P_{SC\max },P_{SCref}\&GreaterEqual;P_{SCmax}\\ P_{SCref}=P_{SC\min },P_{SCref}\&le;P_{SC\min }\\ P_{SCref}=P_{SCref}^{\&prime;},P_{SC\min }<P_{SCref}<P_{SCmax}\end{array}\right.---\left(2\right)$

In formula (1), K _pand K _ibe respectively proportionality coefficient and the integration time constant of PI link; SOC _sCfor the state-of-charge actual value of ultracapacitor; SOC _sCreffor the state-of-charge reference value of ultracapacitor; P ' _sCreffor the ultracapacitor power output reference value obtained through PI link; In formula (2), P _sCmaxand P _sCminbe respectively peak power output and the minimum output power of ultracapacitor; P _sCreffor the actual reference output power of ultracapacitor.

In addition, once state limit operational mode is triggered, this pattern will move to ultracapacitor state-of-charge close to reference value SOC always _sCref, and ultracapacitor real output P _sCtill amplitude is less than certain value.

Consult Fig. 2, if do not reach limit value, then run on normal mode.The actual reference output power of ultracapacitor is now:

P _SCref＝f(P _ss,P _batref)(3)

Wherein, P _ssfor the power shortage of the system stability that adaptive control inner ring obtains through PI link, P _batreffor the actual reference output power that batteries is total.The calculating of formula (3) is subject to the impact of adaptive control inner ring.

Consult Fig. 3, work as P _batmin≤ P _ss≤ P _batmaxtime,

P _SCref＝0(4)

Work as P _ss<P _batmin<0 or P _ss>P _batmaxduring >0,

P _SCref＝P _ss-P _batref(5)

Wherein, P _sCreffor negative indication charging, for just representing electric discharge.

3rd step: according to the actual reference output power of ultracapacitor under different operational mode, through adaptive control inner ring, calculates to obtain the total actual reference output power of batteries;

Consult Fig. 3, ultracapacitor power output actual value and reference value are done difference and are namely obtained the instantaneous power vacancy of isolated island type micro-capacitance sensor, then power shortage P when obtaining system stability by PI link _ssif, P _sswithin the scope of the power limit of storage battery, the now reference value of batteries real output and P _ssequal; Otherwise, batteries real output reference value P _batreffor up/down limit value.P _batreffor negative indication charging, for just representing electric discharge.

4th step: utilize consistency algorithm to share the total rated power P of batteries in micro-capacitance sensor _totaland the total actual reference output power P of the 3rd batteries calculated in step _batref, specifically comprise following three steps:

1) utilize consistency algorithm to calculate the total N of storage battery in micro-capacitance sensor;

2) utilize consistency algorithm to calculate the average value P of the total rated power of batteries in micro-capacitance sensor _total/ N.By the 1st) storage battery sum N in the micro-capacitance sensor calculated of step, the rated power P that batteries in micro-capacitance sensor is total can be calculated _total=P _total/ N*N;

3) utilize consistency algorithm to calculate the average value P of the actual reference output power that batteries is total in micro-capacitance sensor _batref/ N.By the 1st) storage battery sum N in the micro-capacitance sensor calculated of step, the actual reference output power P that batteries in micro-capacitance sensor is total can be calculated _batref=P _batref/ N*N;

5th step: utilize the 4th step to share the information obtained, the ratio that each storage battery accounts for the total rated power of batteries according to self rated power obtains reference output power.

P _{batref, i}=P _batrefp _i/ P _total(6) wherein, P _ifor the rated power of storage battery i, P _{batref, i}for the reference output power of storage battery i.

Claims (5)

1., based on an isolated island type micro-capacitance sensor energy storage control method for consistency algorithm, it is characterized in that: comprise the following steps:

Step 1: detect the power that the state-of-charge of ultracapacitor in isolated island type micro-capacitance sensor and described ultracapacitor export to described micro-capacitance sensor;

Step 2: judge whether the state-of-charge of described ultracapacitor reaches limit value; If reach limit value, then trigger state restriction outer shroud, regulated the reference output power of described ultracapacitor by PI link, now, described micro-capacitance sensor runs on state limit pattern; If do not reach limit value, then described micro-capacitance sensor runs on normal mode;

Step 3: according to the actual reference output power of ultracapacitor described under different operational mode, through adaptive control inner ring, calculates to obtain the actual reference output power that batteries is total in described micro-capacitance sensor;

Step 4: the actual reference output power that the described batteries utilizing consistency algorithm to share to calculate in the total rated power of described batteries and step 3 is total;

Step 5: utilize step 4 to share the information obtained, the ratio that in described batteries, each storage battery accounts for the total rated power of described batteries according to self rated power instructs power output.

2. a kind of isolated island type micro-capacitance sensor energy storage control method based on consistency algorithm as claimed in claim 1, it is characterized in that: in step 2, when described ultracapacitor state-of-charge reaches limit value, described micro-capacitance sensor is switched to state limit pattern, in this mode, the actual reference output power of described ultracapacitor is calculated by following formula:

$P_{SCref}^{\&prime;}=(K_p+\frac{K_i}{s})({\mathrm{SOC}}_{SC}-{\mathrm{SOC}}_{SCref})---\left(1\right)$

$\left\{\begin{array}{c}{P}_{SCref}=P_{SC\max },P_{SCref}\&GreaterEqual;P_{SCmax}\\ P_{SCref}=P_{SC\min },P_{SCref}\&le;P_{SC\min }\\ P_{SCref}=P_{SCref}^{\&prime;},P_{SC\min }<P_{SCref}<P_{SCmax}\end{array}\right.---\left(2\right)$

In formula (1), K _pand K _ibe respectively proportionality coefficient and the integration time constant of PI link; SOC _sCfor the state-of-charge actual value of ultracapacitor; SOC _sCreffor the state-of-charge reference value of ultracapacitor; P ' _sCreffor the ultracapacitor power output reference value obtained through PI link; In formula (2), P _sCmaxand P _sCminbe respectively peak power output and the minimum output power of ultracapacitor; P _sCreffor the actual reference output power of ultracapacitor;

If do not reach limit value, then described micro-capacitance sensor runs on normal mode, and now, the actual reference output power of described ultracapacitor is:

P _SCref＝f(P _ss,P _batref)(3)

Wherein, P _ssfor the power shortage of the system stability that adaptive control inner ring obtains through PI link, P _batreffor the actual reference output power that batteries is total, the calculating of formula (3) is subject to the impact of adaptive control inner ring:

Work as P _batmin≤ P _ss≤ P _batmaxtime,

P _SCref＝0(4)

Work as P _ss<P _batmin<0 or P _ss>P _batmaxduring >0,

P _SCref＝P _ss-P _batref(5)

Wherein, P _sCreffor negative indication charging, P _sCreffor just representing electric discharge, P _batmaxand P _batminbe respectively power upper limit value and the lower limit of batteries.

3. a kind of isolated island type micro-capacitance sensor energy storage control method based on consistency algorithm as claimed in claim 1, is characterized in that: the total actual reference output power of batteries described in step 3 is obtained by following methods:

The power exported to described micro-capacitance sensor by described ultracapacitor and the actual reference output power of described ultracapacitor do the instantaneous power vacancy that namely difference obtains described micro-capacitance sensor, then power shortage P when obtaining system stability by PI link _ssif, P _sswithin the scope of the power limit of described batteries, the actual reference output power P that now batteries is total _batrefwith P _ssequal; Otherwise, the actual reference output power P that batteries is total _batreffor the power up/down limit value of batteries, P _batreffor negative indication charging, P _batreffor just representing electric discharge.

4. a kind of isolated island type micro-capacitance sensor energy storage control method based on consistency algorithm as claimed in claim 1, is characterized in that: described step 4) specifically comprise the following steps:

4.1) utilize consistency algorithm to calculate the total N of storage battery in described micro-capacitance sensor;

4.2) utilize consistency algorithm to calculate the average value P of the rated power that batteries is total in described micro-capacitance sensor _total/ N, by the 4.1st) the total N of storage battery in the described micro-capacitance sensor calculated of step, the rated power P that batteries in described micro-capacitance sensor is total can be calculated _total=P _total/ N*N;

4.3) utilize consistency algorithm to calculate the average value P of the actual reference output power that batteries is total in described micro-capacitance sensor _batref/ N, by the 4.1st) the total N of storage battery in the described micro-capacitance sensor calculated of step, the actual reference output power P that batteries in described micro-capacitance sensor is total can be calculated _batref=P _batref/ N*N.

5. a kind of isolated island type micro-capacitance sensor energy storage control method based on consistency algorithm as claimed in claim 1, is characterized in that: in step 5, the reference output power of each storage battery obtains by formula (6):

P _batref,i＝P _batrefP _i/P _total(6)

Wherein, P _ifor the rated power of storage battery i, P _{batref, i}for the reference output power of storage battery i, P _batreffor the actual reference output power that batteries is total.