CN105958530A - Microgrid system with reactive power automatic compensation function - Google Patents

Abstract

The present invention discloses a microgrid system with a reactive power automatic compensation function. The microgrid system can predict the generated power of a wind turbine generator in a microgrid and the load change in the microgrid, and is combined with a reactive power distribution method of the multi-objective optimization of the active power loss influence in the microgrid under a wind turbine generator constant active power control mode, thereby improving the economic operation of the microgrid, guaranteeing that the microgrid participates in the large power grid voltage adjustment according to the demands of a large power grid at the grid connection, and guaranteeing the voltage stability at the grid-connected operation.

Description

A kind of micro-grid system with imaginary power automatic compensation

Art

The present invention relates to a kind of micro-grid system with imaginary power automatic compensation.

Background technology

The energy and environmental crisis have become as the major issue affecting Human Sustainable Development, cleaning, renewable energy The utilization in source is the fundamental way solving this problem.Along with wind-power electricity generation, photovoltaic generation, wave-activated power generation etc. The maturation of renewable energy power generation technology, increasing regenerative resource micro-capacitance sensor form in a distributed manner accesses Electrical network, meets the daily production of people, the demand of household electricity.

Especially wind-powered electricity generation, China's multiple million kilowatt wind power base built and accessed operation of power networks, Eight ten million multikilowatt wind power base of planning the most progressively carry out construction, and the development mode of China's wind-powered electricity generation is different In abroad, it is " based on the access of extensive concentration, high pressure long-distance sand transport, dissolving on a large scale ", " with greatly Scale dispersion accesses, on-site elimination " it is auxiliary pattern.

The micro-capacitance sensor of wind-powered electricity generation composition, it exerts oneself and has intermittence and strong randomness, and the change of wind power output will Having influence on the reactive power distribution of passway for transmitting electricity, and then the busbar voltage of change passage, general performance is as wind-powered electricity generation Exerting oneself change, the busbar voltage of exchange Transmission Corridor fluctuates, therewith simultaneously as the big multiple access of wind-powered electricity generation is remote Area, the rack of Transmission Corridor is the weakest, and capacity of short circuit is less, and therefore, voltage pulsation will " be put Greatly ", fluctuating margin is relatively big, and the out-of-limit operation risk that waits of busbar voltage, electricity after large-scale wind power access even occur The difficult control problem of pressure will highlight.

During running of wind generating set, the method for operation of blower fan has constant power factor, constant voltage to control and permanent Three kinds of operation methods of idle control.The Wind turbines that micro-capacitance sensor is installed at present is variable speed constant frequency Wind turbines, its Middle double-fed fan motor unit has constant power factor to control two kinds of methods of operation with constant voltage, and its essence is micro-electricity The Reactive Power Dispatch of net is different from voltage control strategy, owing to most domestic wind field all uses this kind of type Wind turbines, therefore the research to the imaginary power automatic compensation of the type unit is significant.

Summary of the invention

The present invention provides a kind of micro-grid system with imaginary power automatic compensation, and this micro-grid system is measurable micro- Load change in the generated output of the Wind turbines in electrical network and micro-capacitance sensor, at the constant wattful power of Wind turbines The reactive power distribution method of the multiple-objection optimization of active loss impact in micro-capacitance sensor is combined under rate control model, Improve micro-capacitance sensor economical operation, ensure that the micro-capacitance sensor demand according to bulk power grid when grid-connected participates in bulk power grid voltage Regulation, ensures voltage stabilization when being incorporated into the power networks.

To achieve these goals, the present invention provides a kind of micro-grid system with imaginary power automatic compensation, should Micro-capacitance sensor includes: load, SVG equipment and supervising device in Wind turbines, micro-capacitance sensor；

This supervising device includes:

Wind turbines monitoring module, monitors Wind turbines, and enters the generated output of Wind turbines in real time Row prediction；

Parallel control module, for monitoring site ac bus voltage, and for controlling the grid-connected of micro-capacitance sensor Run；

Load monitoring module, the load in monitoring micro-capacitance sensor in real time；

SVG monitoring module, for monitoring SVG equipment in real time；

Middle control module, for determining the operation method of micro-capacitance sensor, and each module in above-mentioned supervising device is sent out Go out instruction, to perform this operation method；

Communication bus, for the liaison of the modules of this supervising device.

Preferably, described Wind turbines monitoring module obtains the service data of Wind turbines in real time, and stores number According to.

Preferably, described Wind turbines monitoring module, Wind turbines stator leakage reactance can be obtained, Wind turbines turns Sub-leakage reactance, Wind turbines excitation leakage reactance, Wind turbines stator resistance, Wind turbines rotor resistance, box change The resistance of depressor floating voltage, box type transformer short circuit current, line concentration model, line concentration unit line, main transformer short circuit electricity Stream, main transformer floating voltage data, by unit parameter, build generating set mathematical model, for computed losses Do early-stage preparations, and obtain the internal each several part physical parameter of micro-capacitance sensor, build the Top Modules of whole micro-capacitance sensor Type.

Preferably, the data acquisition frequency of Wind turbines monitoring module, SVG monitoring module and load monitoring module Within rate is 10s-10min, screens extracting data, reject and shut down or there are fault blower fan data, in Control module utilizes real time data, sets up micro-capacitance sensor regulation-control model, gather unit phase voltage, unit phase current, Unit active power, unit reactive power, one-level busbar voltage, one-level bus current, two grades of busbar voltages, Two grades of bus currents, main transformer voltage, main transformer electric current, main transformer pressure, active power, main transformers Reactive power, reactive-load compensation equipment power, after retaining valid data, enter the hind computation stage.

Preferably, this micro-grid system carries out imaginary power automatic compensation in the following way:

By Wind turbines monitoring module, obtain each running of wind generating set state in micro-capacitance sensor, active power value, Other unit real time datas of micro-capacitance sensor, extract data and go forward side by side row filter, reject and shut down or there is fault blower fan number According to；Based on real time data, set up micro-capacitance sensor reactive power and voltage control model；Parallel control module is according to tune The micro-grid connection point voltage instruction that degree system is assigned, if superior system does not assign instruction, then by middle control mould The given instruction of block；Change with the time scale of reactive power and select two kinds of control models；

If idle change yardstick changes with minute/hour level time scale, unit allocation mode is converted to constant Active power controller, with micro-capacitance sensor economical operation for controlling target, sets up object function, by fetched data Substitute in model, carry out unit without the distribution of work；

Solve object function, obtain blower fan Reactive-power control value；According to also site real-time voltage, design management stream Journey, is divided into five grades by the voltage in adjustable extent, the corresponding different Reactive-power control amount of each grade, root According to the running status that each Wind turbines is different, the reactive power value obtained is assigned to the Wind turbines of correspondence；

If idle change yardstick is with millisecond/second level time scale change, unit operation pattern is switched to constant electricity Pressure control mode；With suppression voltage pulsation as target, set up object function, fetched data is substituted into model In, carry out unit without the distribution of work；

In micro-capacitance sensor, each unit receives Reactive power control instruction, completes instruction according to self corresponding situation, holds After row instruction, response value and grid-connected point voltage are fed back to dispatching patcher.

The micro-capacitance sensor of the present invention has the advantage that (1) Accurate Prediction Wind turbines output situation of change； (2) economical operation of micro-capacitance sensor, and suppression voltage pulsation are realized, by the collection to micro-capacitance sensor data, Set up network architecture model, under power limitation control strategy, it is ensured that Wind turbines power factor is constant, passes through Idle regulation and control complete economical operation.

Accompanying drawing explanation

Fig. 1 shows a kind of micro-grid system with imaginary power automatic compensation of the present invention and supervising device thereof Block diagram；

Fig. 2 shows operation and the monitoring method of the micro-grid system of a kind of present invention.

Detailed description of the invention

Fig. 1 shows a kind of micro-grid system 10 with imaginary power automatic compensation of the present invention, this micro-capacitance sensor 10 include: load 14, SVG equipment 13 and supervising device 11 in Wind turbines 12, micro-capacitance sensor；This monitoring Device 11 includes: Wind turbines monitoring module 113, for monitoring Wind turbines 12 in real time, and to wind turbine The generated output of group 12 is predicted, and controls the operation of Wind turbines；Parallel control module 112, is used for Monitoring site ac bus voltage, and for controlling being incorporated into the power networks of micro-capacitance sensor 10；Load monitoring module 114, Load 14 in monitoring micro-capacitance sensor in real time；SVG monitoring module 115, for monitoring SVG equipment in real time 13；Middle control module 116, for determining the operation method of micro-capacitance sensor 10, and in above-mentioned supervising device 11 Each module sends instruction, to perform this operation method；Communication bus 111, each for this supervising device 11 The liaison of individual module.

Described Wind turbines monitoring module 113 obtains the service data of Wind turbines 12 in real time, and stores data.

Middle control module 116 at least includes CPU element, data storage cell and display unit.

Described Wind turbines monitoring module 113, can obtain Wind turbines 12 stator leakage reactance, Wind turbines 12 turns Sub-leakage reactance, Wind turbines 12 excitation leakage reactance, Wind turbines 12 stator resistance, Wind turbines 12 rotor resistance, The resistance of box type transformer floating voltage, box type transformer short circuit current, line concentration model, line concentration unit line, main transformer Short circuit current, main transformer floating voltage data, by unit parameter, build generating set mathematical model, for meter Calculate loss and do early-stage preparations, and obtain the internal each several part physical parameter of micro-capacitance sensor, build whole micro-capacitance sensor Topological model.

Wind turbines monitoring module 113, SVG monitoring module 115 and the data acquisition of load monitoring module 114 Within frequency is 10s-10min, screens extracting data, reject and shut down or there are fault blower fan data, Middle control module utilizes real time data, sets up micro-capacitance sensor regulation-control model, gather unit phase voltage, unit phase current, Unit active power, unit reactive power, one-level busbar voltage, one-level bus current, two grades of busbar voltages, Two grades of bus currents, main transformer voltage, main transformer electric current, main transformer pressure, active power, main transformers Reactive power, reactive-load compensation equipment power, after retaining valid data, enter the hind computation stage.

Seeing accompanying drawing 2, operation and the monitoring method of the micro-capacitance sensor of the present invention comprise the steps:

S1. Wind turbines monitoring module obtains running of wind generating set data in real time, and stores data, obtains in real time Load power demand situation in micro-capacitance sensor；According to running of wind generating set data, to the wind in following predetermined instant Group of motors output is meritorious and idle to be predicted；

S2. gather grid-connected point voltage information, determine that micro-capacitance sensor is meritorious and idle according to bulk power grid dispatch command simultaneously Output demand；

S3. by load power demand, Wind turbines in meritorious and idle for micro-capacitance sensor output demand, current micro-capacitance sensor Exportable meritorious and idle, SVG equipment is exportable idle as constraints, it is achieved micro-capacitance sensor idle excellent Change and run, suppress voltage pulsation.

Preferably, in step sl, before accessing bulk power system, Wind turbines monitoring module obtains micro-electricity Net ingredient basic data, the most quantitative in Theoretical Calculation object function；Based on unit parameter, build and send out Group of motors mathematical model, does early-stage preparations for calculating unit loss, obtains the internal each several part of micro-capacitance sensor further Physical parameter, builds whole micro-capacitance sensor mathematical model.

Preferably, in step s3, idle work optimization runs and specifically includes following steps:

S31. by Wind turbines monitoring module, each running of wind generating set state, active power in micro-capacitance sensor is obtained Value, other unit real time datas of micro-capacitance sensor, during this micro-capacitance sensor data acquiring frequency scope be 10s～ 10min, extracts data and goes forward side by side row filter, reject and shut down or there are fault blower fan data；Based on real time data, Set up micro-capacitance sensor reactive power and voltage control model；The micro-capacitance sensor that parallel control module is assigned according to dispatching patcher Grid-connected point voltage instructs, if superior system does not assign instruction, then by the given instruction of middle control module；With idle The time scale change of power selects two kinds of control models；

If the most idle change yardstick changes with minute/hour level time scale, unit allocation mode is converted to Constant active power controller, with micro-capacitance sensor economical operation for controlling target, sets up object function, by S1 and S31 Fetched data substitutes in model, carries out unit without the distribution of work；

S33. solve object function, obtain blower fan Reactive-power control value；According to also site real-time voltage, design management Flow process, is divided into five grades by the voltage in adjustable extent, the corresponding different Reactive-power control amount of each grade, According to the running status that each Wind turbines is different, the reactive power value obtained is assigned to the wind turbine of correspondence Group；

If the most idle change yardstick is with millisecond/second level time scale change, unit operation pattern is switched to perseverance Determine voltage control mode；With suppression voltage pulsation as target, set up object function, acquired in S1 and S31 Data substitute in model, carry out unit without the distribution of work；

S35. in micro-capacitance sensor, each unit receives Reactive power control instruction, completes instruction according to self corresponding situation, After performing instruction, response value and grid-connected point voltage are fed back to dispatching patcher.

Preferably, by supervising device in S31, obtain micro-capacitance sensor real time data and PCC point voltage controls to refer to Order, arranges PCC point voltage fluctuation threshold values；

Δ U=| U_WFcmd-U_WFout|≤ξ

In formula, U_WFcmdFor micro-grid connection point desired voltage values；U_WFoutFor micro-grid connection point real-time voltage Value；ξ is micro-capacitance sensor voltage threshold；Δ U is grid-connected point voltage deviation value.

Preferably, in S32, set up the idle work optimization function being assigned as target with micro-capacitance sensor economic optimization:

Min (F)=w₁P_loss+w₂Q_C+λ₁ΔU_i+λ₂ΔQ

In formula, P_lossFor micro-capacitance sensor active loss；Q_CFor SVG equipment investment capacity；ΔU_iFor each node electricity Pressure more limit value；ΔQ_iSend reactive power for blower fan and get over limit value；w₁And w₂Hold for active power loss and reactive-load compensation The weight factor of amount, and w₁+w₂=1；λ is penalty factor, is calculating optimal function, is playing restricted problem.

Preferably, S32 is analyzed calculate, first carries out calculating micro-capacitance sensor Load flow calculation；According to micro-capacitance sensor Reactive power dimensional variation in time, determines air-blower control pattern, when second/hour level, by air-blower control side Formula is converted to power limitation control, calculates the blower fan idle adjustable nargin under with reduction network loss as target, it is ensured that Bound for objective function；Set up the idle control mathematical model that micro-capacitance sensor economical operation is target, by S1 With S31 the data obtained, substitute in model；

The copper loss of the loss of wind-driven generator predominantly blower fan, its expression formula is:

$P_{cu}=R_s(I_{sq}^2+I_{sd}^2)+R_r(I_{rd}^2+I_{rq}^2)$

In formula, R_sFor generator unit stator resistance, R_rFor generator amature resistance, I_sFor stator current, I_rFor turning Electron current；

The active loss of transformator is mainly expressed as:

P_LT=P_O+β²P_k

In formula, P₀For transformer noload losses, P_kFor transformer load loss；

Reactive loss in transformator mainly divides two parts, i.e. field excitation branch line loss and winding leakage reactance to be lost；Its In, the percentage value of field excitation branch line loss is substantially equal to no-load current I_OPercentage value, about 1%～2%； In winding leakage reactance, the percentage value of loss, at transformator full load, is substantially equal to short-circuit voltage U_kPercentage value, It is about 10%；

Transmission of electricity micro-capacitance sensor in load represented by ∏ shape equivalent circuit, in micro-capacitance sensor the active loss of load in series with Reactive loss is directly proportional to the current squaring passed through, it may be assumed that

${\mathrm{\ΔP}}_L=\frac{P_1^2+Q_1^2}{U_1^2}R$

${\mathrm{\ΔQ}}_L=\frac{P_1^2+Q_1^2}{U_1^2}X$

U₂For PCC junction point voltage in micro-capacitance sensor, after load in one section of transmission micro-capacitance sensor with bulk power grid before Step voltage U₁It is connected；Voltage U₂Relevant with the active power that access point injects and reactive power；When wind speed occurs During fluctuation, stablizing of system PCC point busbar voltage can be affected, due to the fluctuation of busbar voltage, can increase micro- The network loss of electrical network, causes economic loss, when fluctuation is more than 10%, the output of micro-capacitance sensor can be produced shadow Ringing, so needing the reactive power of PCC point is regulated and controled, thus maintaining U₂Constant；

Under stable situation, micro-grid connection is run, and now micro-capacitance sensor provides electric energy for accessing bulk power grid, uses Unity power factor control, whole micro-capacitance sensor does not exchanges reactive power with electrical network；Power system voltage regulating depends on Electromotor, transformator and electrical network parameter etc., be determined by reactive requirement, regulate its stator voltage, with rotor Electric current；

Reduce for the purpose of active loss by wind-powered electricity generation, set up object function:

P_loss=P₁+P₂+P₃

$P_1=\underset{i=1}{\overset{n}{\Σ}}{P}_{cui}$

$P_2=\left\{\underset{i=1}{\overset{n}{\Σ}}\frac{(P_{mi}^2+Q_{mi}^2)(R_{Ti}+R_{Li})}{U_i^2}\right\}$

P₃=P_LT

In formula, P_mi, Q_miIt is respectively i-th double-fed unit and injects meritorious, the idle injection rate of bus bar side；U High side bus voltage is become for case；R_Ti, R_LiIt is respectively conversion and becomes on high-tension side resistance and current collection micro-capacitance sensor to case Interior load resistance；P₁For blower fan copper loss；P₂For load loss in micro-capacitance sensor；P₃Transformer active is lost.

Preferably, with micro-capacitance sensor loss minimization as principle, it is contemplated that every Fans active loss, unit is gained merit Loss predominantly stator and rotor copper loss, wherein stator current is:

$I_{si}^2=\frac{\sqrt{({P_i}^2+Q_i^2)}}{3U_i}$

Rotor current is:

$I_{ri}=\frac{1}{X_{mi}}\sqrt{I_{si}^2(R_{si}^2+X_{1i}^2)+U_i^2+2U_i(\frac{P_i{R}_{si}}{3U_i}-\frac{Q_i{X}_{1i}}{3U_i})\]}$

$P_{cui}=3I_{si}^2{R}_{si}+3I_{ri}^2{R}_{ri}$

By P_cuiIt is organized into about Q_iOne-place 2-th Order expression formula

$P_{cui}={\mathrm{aQ}}_i^2+{\mathrm{bQ}}_i+c$

$\left\{\begin{array}{c}a=\frac{X_{mi}^2{R}_{si}+R_{si}^2{R}_{ri}+X_{1i}^2{R}_{ri}}{3U_i^2{X}_{mi}^2}\\ b=\frac{2X_{1i}{R}_{ri}}{X_{mi}^2}\\ c=\frac{(R_{si}{X}_{mi}^2+R_{si}^2{R}_{ri}+X_{1i}^2{R}_{ri})P_i^2+6R_{si}{R}_{ri}{U}_i^2{P}_i+9R_{ri}{U}_i^4}{3X_{mi}^2{U}_i^2}\end{array}\right.$

In formula, U_iIt it is the stator terminal voltage of the i-th Fans；X_1i=X_si+X_mi, X_2i=X_ri+X_mi, wherein, X_si、X_m、X_riIt is respectively the stator leakage reactance of the i-th Fans, excitation leakage reactance and rotor leakage reactance；

In micro-capacitance sensor, the active loss reactive loss in load is expressed as:

$P_{Li}=Q_{Li}\frac{R_i}{X_i}$

In formula, Q_LiFor connecting the reactive loss value that bus becomes to blower fan line concentration and case in micro-capacitance sensor；

In booster stations, the active loss reactive loss of main transformer is indicated:

$P_{LT}=P_0+P_k(\frac{100Q_{LT}}{S_N{U}_k\%}-\frac{I_O\%}{U_k\%})$

To sum up, propose to comprise load and main transformer pressure in micro-capacitance sensor inner blower, box type transformer, current collection micro-capacitance sensor Device is at the object function of interior active power loss minimum:

Min (F)=w₁P_loss+w₂Q_C+λ₁ΔU_i+λ₂ΔQ

In formula, P_lossFor micro-capacitance sensor active loss；Q_CFor SVG equipment investment capacity；ΔU_iFor each node electricity Pressure more limit value；ΔQ_iSend reactive power for blower fan and get over limit value；w₁And w₂Hold for active power loss and reactive-load compensation The weight factor of amount, and w₁+w₂=1；With for penalty factor.

Preferably, wherein the trend constraints of Optimized model is:

$P_i=U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}+B_{ij}{\mathrm{sin\θ}}_{ij})$

$Q_i=U_i\underset{j=1}{\overset{n}{\Σ}}{U}_j(G_{ij}{\mathrm{cos\θ}}_{ij}-B_{ij}{\mathrm{sin\θ}}_{ij})$

Idle equality constraint is

$\underset{i=1}{\overset{n}{\Σ}}(Q_{mi}-{\mathrm{\ΔQ}}_i)-Q_{LT}=Q_{ref}$

Inequality constraints

$0\≤P_i\≤P_{i\max }^{ref}$

Q_imin≤Q_i≤Q_imax

V_i ^ref-V_i ^err≤V_i≤V_i ^ref+V_i ^err

In formula,It is that i-th unit maximum predicted sends power, Q_imaxFor the maximum idle output valve of unit, Q_iminFor the minimum idle output valve of unit, V_i ^errFor node voltage fluctuation range.

Preferably, in step S33, grid-connected point voltage perunit value is divided into different brackets, respectively U_a、 U_b、U₀、U_c、U_d, using different grades of busbar voltage as amplitude limit, whole control process is managed, Ensure, during reducing network loss, to take into account busbar voltage quality；Make U₀=1, i.e. occur without under abnormal conditions Busbar voltage, makes U_b、U_cIt is respectively U₀± 5%, make U_a、U_dIt is respectively U₀± 10%；

(1) U is worked as₂When being in voltage magnitude bottom half；

1)U₂≤U_aTime, PCC point voltage reaches the lower limit that fluctuates, and needs micro-capacitance sensor to provide reactive power, improves electricity Pressure, air-blower control mode is converted to constant voltage control；

2)U_a≤U₂≤U_bTime, it is desirable to provide reactive power reduces micro-capacitance sensor network loss, but still needs to reactive power Ensureing voltage, blower fan is idle is output as in now regulation

$Q=\frac{2U_b-U_2}{U_b}{Q}_{mi}$

3)U_b≤U₂≤U₀Time, this interval busbar voltage grade meets demand, and blower fan provides reactive power to reduce Network loss, blower fan is idle is output as in now regulation

Q=Q_m

(2) U is worked as₂When being in voltage magnitude upper half, regulation process is similar with flow process (1).

Preferably, in described step S34, set up the idle work optimization function of suppression multiple target voltage pulsation

$Q_{ref}=K_{ref}^U(U_{mea}-U_{ref})+\underset{0}{\overset{T_{ref}^U}{\∫}}(U_{mea}-U_{ref})dt+K_{RX}\[\frac{\underset{0}{\overset{T_{\mathrm{int}}}{\∫}}(P_{avg}-P_{mea})dt}{T_{\mathrm{int}}}\]$

In formula, U_meaFor also site actual measurement voltage, U_refFor voltage reference value,For Control of Voltage gain system Number,For voltage error integration time constant, K_RXFor reactive power compensation gain coefficient, T_intDuring for controlling Between yardstick.

First according to voltage measured value and voltage reference value, according to blower fan constant voltage control mode, calculate in perseverance Under voltage control mode, the reactive requirement value of whole field；It is simultaneously introduced voltage pulsation inhibition function, obtains suppression The idle reference value of voltage pulsation, obtains final reactive requirement value, according to micro-capacitance sensor SCADA data, right When unit carries out reactive power distribution, the situation of exerting oneself in real time of each unit need to be taken into full account, operation conditions, Could utilize algorithm that unit is carried out different process.

When Wind turbines is classified by the present invention, mainly account at two aspects, be first the fortune of unit Row situation, in the assignment procedure, it should first the unit that operation conditions is bad is paid the utmost attention to；Next considers wind Speed and wind power prediction result, according to the running status between micro-capacitance sensor unit, be divided into four classes by unit.The One class is next period shut-down unit；Equations of The Second Kind is the unit that unit regulating power is stronger than the previous control cycle, 3rd class is the unit that unit regulating power is more weak than the previous control cycle, the 4th class for be in rated wind speed with On, the Reactive-power control ability of unit is constant.The allocation strategy of unit is as follows.

$\underset{i=1}{\overset{n}{\Σ}}{Q}_i=Q_{ref}+Q_{loss}$

In formula, Q_refFor suppression voltage pulsation calculated micro-capacitance sensor reactive requirement；Q_lossIdle for micro-capacitance sensor Loss.

Q_i1=0

$Q_{i2}=(\ΣQ_{i2,t+1}-\ΣQ_{i2,t})\frac{Q_{i2,t}}{\ΣQ_{i2,t+1}}+Q_{i2,t}$

$Q_{i3}=(\ΣQ_{i3,t}-\ΣQ_{i3,t+1})\frac{Q_{i3,t+1}}{\ΣQ_{i3,t}}+Q_{i3,t+1}$

$Q_{i4}=\frac{Q_{i4,t+1}}{\ΣQ_{i4,t}}+Q_{i4,t+1}$

In formula, Q_ixFor the idle output valve of xth class the i-th Fans, Q_ix,tFor the idle output valve of current period, Q_ix,t+1Idle output valve for next cycle.

Preferably, also have the following steps in S1, according to wind speed and micro-capacitance sensor frequency modulation, pressure regulation spare capacity need Ask, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial wattful power of each typhoon group of motors Rate, reactive power are exerted oneself and initial speed, initial propeller pitch angle.

Above content is to combine concrete preferred implementation further description made for the present invention, no Can assert the present invention be embodied as be confined to these explanations.Common for the technical field of the invention For technical staff, without departing from the inventive concept of the premise, make some equivalents and substitute or obvious modification, And performance or purposes are identical, protection scope of the present invention all should be considered as belonging to.

Claims (5)

1. having a micro-grid system for imaginary power automatic compensation, this micro-capacitance sensor includes: Wind turbines, micro-electricity Load, SVG equipment and supervising device in net；

This supervising device includes:

Wind turbines monitoring module, monitors Wind turbines, and enters the generated output of Wind turbines in real time Row prediction；

Parallel control module, for monitoring site ac bus voltage, and for controlling the grid-connected of micro-capacitance sensor Run；

Load monitoring module, the load in monitoring micro-capacitance sensor in real time；

SVG monitoring module, for monitoring SVG equipment in real time；

Middle control module, for determining the operation method of micro-capacitance sensor, and each module in above-mentioned supervising device is sent out Go out instruction, to perform this operation method；

Communication bus, for the liaison of the modules of this supervising device.

2. micro-grid system as claimed in claim 1, it is characterised in that described Wind turbines monitoring module is real Time obtain the service data of Wind turbines, and store data.

3. micro-grid system as claimed in claim 2, it is characterised in that described Wind turbines monitoring module, Wind turbines stator leakage reactance, Wind turbines rotor leakage reactance, Wind turbines excitation leakage reactance, Wind turbines can be obtained Stator resistance, Wind turbines rotor resistance, box type transformer floating voltage, box type transformer short circuit current, The resistance of line concentration model, line concentration unit line, main transformer short circuit current, main transformer floating voltage data, by unit parameter, Build generating set mathematical model, do early-stage preparations for computed losses, and obtain the internal each several part of micro-capacitance sensor Physical parameter, builds the topological model of whole micro-capacitance sensor.

4. micro-grid system as claimed in claim 3, it is characterised in that Wind turbines monitoring module, SVG Within the data acquiring frequency of monitoring module and load monitoring module is 10s-10min, sieve extracting data Choosing, rejects and shuts down or there are fault blower fan data, and middle control module utilizes real time data, sets up micro-capacitance sensor regulation and control Model, gathers unit phase voltage, unit phase current, unit active power, unit reactive power, one-level mother Line voltage, one-level bus current, two grades of busbar voltages, two grades of bus currents, main transformer voltage, main transformers Depressor electric current, main transformer pressure, active power, main transformer reactive power, reactive-load compensation equipment power, retain After valid data, enter the hind computation stage.

5. micro-grid system as claimed in claim 4, it is characterised in that this micro-grid system uses such as lower section Formula carries out imaginary power automatic compensation:

By Wind turbines monitoring module, obtain each running of wind generating set state in micro-capacitance sensor, active power value, Other unit real time datas of micro-capacitance sensor, extract data and go forward side by side row filter, reject and shut down or there is fault blower fan number According to；Based on real time data, set up micro-capacitance sensor reactive power and voltage control model；Parallel control module is according to tune The micro-grid connection point voltage instruction that degree system is assigned, if superior system does not assign instruction, then by middle control mould The given instruction of block；Change with the time scale of reactive power and select two kinds of control models；

If idle change yardstick changes with minute/hour level time scale, unit allocation mode is converted to constant Active power controller, with micro-capacitance sensor economical operation for controlling target, sets up object function, by fetched data Substitute in model, carry out unit without the distribution of work；

Solve object function, obtain blower fan Reactive-power control value；According to also site real-time voltage, design management stream Journey, is divided into five grades by the voltage in adjustable extent, the corresponding different Reactive-power control amount of each grade, root According to the running status that each Wind turbines is different, the reactive power value obtained is assigned to the Wind turbines of correspondence；

If idle change yardstick is with millisecond/second level time scale change, unit operation pattern is switched to constant electricity Pressure control mode；With suppression voltage pulsation as target, set up object function, fetched data is substituted into model In, carry out unit without the distribution of work；

In micro-capacitance sensor, each unit receives Reactive power control instruction, completes instruction according to self corresponding situation, holds After row instruction, response value and grid-connected point voltage are fed back to dispatching patcher.