CN113471985B - SVG control precision small-demand distance optimization reactive power compensation method and device - Google Patents

SVG control precision small-demand distance optimization reactive power compensation method and device Download PDF

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CN113471985B
CN113471985B CN202111023295.0A CN202111023295A CN113471985B CN 113471985 B CN113471985 B CN 113471985B CN 202111023295 A CN202111023295 A CN 202111023295A CN 113471985 B CN113471985 B CN 113471985B
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total
distance
svg
reactive
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CN113471985A (en
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雍正
盛洁
郭刚
张绍勋
马会来
韩敬涛
田贵泰
范凯
刘川
胡恒
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Sprixin Technology Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
    • H02J3/1821—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
    • H02J3/1835—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators with stepless control
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10—Flexible AC transmission systems [FACTS]

Abstract

The invention provides a small-demand distance optimization reactive compensation method and device considering SVG control accuracy. According to the invention, by adopting a technical means including a software control algorithm, a control dead zone caused by equipment defects is eliminated, the accuracy of automatic voltage control reactive power control is improved, the reactive power assessment cost of a new energy plant station and the reactive power coordination pressure of a previous new energy gathering area are reduced, and stable and accurate control is achieved.

Description

SVG control precision small-demand distance optimization reactive power compensation method and device
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a small-demand distance optimizing reactive power compensation method and device considering SVG control precision.
Background
Reactive compensation devices are basically arranged at places where low-voltage transformers are arranged and beside large-scale electric equipment, particularly, industrial and mining enterprises and residential areas with low power factors need to be installed, and the reactive compensation devices are especially needed to be installed for large-scale asynchronous motors, transformers, electric welding machines, smelting, steel rolling, aluminum rolling, large-scale switches and the like. The additional arrangement of compensation equipment is an effective measure for improving the quality of electric energy and improving the utilization rate of the electric energy.
The svg (static Var generator) has the advantages of high regulation precision, high speed, capability of outputting a power factor of 0.98, reduction of harmonic content and the like, and is a popular reactive power compensation device. Generally, multiple SVGs with the total capacity of 15% -50% of a low-voltage transformer can be configured in a reactive compensation scene to operate in parallel.
The SVG control accuracy is superior to that of a general stepped reactive power compensation device, and stepless compensation starting from a few thousands of times can be realized. SVG reactive output and operating current are the proportional relation, need a minimum operating current in order to ensure SVG equipment steady operation. The corresponding reactive power between 0 and the minimum operating current is therefore its reactive power regulation dead band. Due to the difference of the technologies of SVG manufacturers, the reactive dead zone is 5% -10% of the capacity.
At present, the distribution strategies commonly used for controlling reactive compensation of the automatic voltage control system are all average distribution according to the device capacity or the adjustable margin, and the two strategies cannot carry out accurate compensation aiming at the reactive compensation requirement with small amplitude (adjusting the reactive instruction in the dead zone). In response to the situation, each control software manufacturer often adopts another strategy, namely preferentially adjusting the SVG device with the smallest control dead zone. However, because the reactive remote measurement values of the rest SVG devices in the dead zone are not credible, the strategy still cannot realize accurate regulation when the reactive instruction is lower than the control dead zone of the device with the highest starting accuracy.
In the scenes of new energy power stations and the like needing reactive compensation, when the power stations are in steady-state operation, comprehensive reactive instructions can be given by scheduling. And distributing the system in the station to a plurality of SVGs for reactive compensation according to the reactive instruction. If the reactive power control precision does not meet the control precision requirement, checking serious consequences and generating fine money; in a new energy collection area, because of more new energy plants, the reactive power control deviation is too large, and the risk of pulling and stopping the stations is also caused. Because SVG has certain control dead zone, when reactive compensation instruction is less, an urgent need is a precise distribution strategy.
Disclosure of Invention
The invention provides a small-demand distance optimizing reactive power compensation method and device considering SVG control precision, and solves the problem that a reactive power instruction in a dead zone cannot be accurately adjusted due to an SVG adjustment dead zone.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a small-demand distance optimizing reactive power compensation method considering SVG control accuracy comprises the following steps:
and combining the positive and negative control dead zones of the plurality of SVGs to obtain a plurality of groups of boundary dead zones, and realizing accurate compensation in the dead zones based on the minimum regulating quantity for reactive instructions through a distance optimization algorithm.
Furthermore, the combination strategy of the multiple groups of boundary dead zones is to enable each SVG to have the minimum load on the premise of accurately realizing accurate regulation and control.
Further, feedback verification is carried out when the difference value between the selected boundary dead zone and the control target exceeds the control precision requirement, and accurate compensation is achieved under the conditions that the minimum regulating quantity is achieved and the minimum reactive circulation is caused.
Further, the method comprises the following specific steps:
s1: assume that the total control accuracy requirement is QAccuMVar, capacity of Q for n stationsrnThe SVG of (1) sets each forward dead zone as anThe negative control dead zone is bnTo obtain a matrix
A=[a1,a2,…,an]，B=[b1,b2,…,bn]；
S2: constructing an X matrix of size i n, i =2n；
S3: each column of X is assigned a value, the first column being assigned a1The second columns all assign a2The nth column all assigns an；
S4: iterating for n times, and modifying the nth column of X each time; each round iterates I times again, I =2n(ii) a The j row of the n column is modified each time by the following method:
let i =1, jold =1, j increases from 1, if j-jold =2N-n: jold = j, i = i + 1; taking the modulus of i to 2, if the remainder is 0, the j row to the (j + 2) th row of the n columnN-n-1) lines from anModified as bn；
S5: constructing the matrix Y, Y having a size of 2n*1；
S6: assign a value to each element of Y, the Y-th action sum (X)11，X1N)；
S7: setting a total forward dead zone Dpos_total=sum(a1，an) Total negative dead zone Dneg_total=sum(b1，bn)；
S8: when the idle command Qtarget<Dneg_totalOr Qtarget>Dpos_totalWhen, if Qtarget>0, the reactive instruction of each SVG is an+(Qtarget-Dpos_total)*Qrn/Qrn_total(ii) a If Qtarget<0, the reactive instruction of each SVG is bn+(Qtarget-Dneg_total)*Qrn/Qrn_total(ii) a Wherein Qrn_totalThe total capacity of n SVGs;
s9: when D is presentneg_total<Qtarget<Dpos_totalWhile traversing the element search and Q in YtargetThe closest element, whose corner is recorded as J; the method comprises the following steps: setting the initial value of J to 1, QDistanceThe initial value is 0; if Qtarget-Yj|<=QDistanceThen J is assigned to J, | Qtarget-YjAssign | to QDistance；
S10: if QDistance<QAccuTaking out n elements in the jth row of the X, taking the n elements as reactive instructions, and respectively issuing the reactive instructions to the corresponding n SVGs, and finishing the strategy;
if QDistance>QAccuAnd (Q)target-Yj）>0, traversing n elements of the j row of X, finding the minimum value in the elements with the same direction, if the same minimum value exists, taking the most rear one, and converting QDistanceAll of which are added to the instructions given to the piece of equipment; if all the element directions are opposite to the element directions, then the Y is traversed again, and the AND Q is foundtargetThe nearest element, if | Qtarget-Yj|<=QDistanceAnd (Q)target>0&&Yj！=Dpos_total）||（Qtarget<0&&Yj！=Dneg_total) Then J is assigned to J, | Qtarget-YjAssign | to QDistanc(ii) a If QDistance>QAccuAnd (Q)target-Yj）>0 then go through n elements of the j-th row of X, find the minimum of the elements whose direction is the same, and put QDistanceAll added to the instructions given to that device.
On the other hand, the invention also provides a small-demand distance optimizing reactive power compensation device considering the control precision of the SVG, which comprises:
the combination module combines the positive and negative control dead zones of the plurality of SVGs to obtain a plurality of groups of boundary dead zones;
and the compensation module is used for realizing the accurate compensation in the dead zone based on the minimum regulating quantity for the reactive instruction through a distance optimization algorithm.
Furthermore, the system also comprises a combined strategy module which is used for controlling the combined strategy of the multiple groups of boundary dead zones to ensure that each SVG has the minimum load on the premise of realizing accurate regulation and control.
The system further comprises a feedback check module for performing feedback check when the difference between the selected boundary dead zone and the control target exceeds the control precision requirement, and realizing accurate compensation under the conditions of realizing the minimum regulating quantity and causing the minimum reactive circulation.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, by adopting a technical means including a software control algorithm, a control dead zone caused by equipment defects is eliminated, the accuracy of automatic voltage control reactive power control is improved, the reactive power assessment cost of a new energy plant station and the reactive power coordination pressure of a previous new energy gathering area are reduced, and stable and accurate control is achieved.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
First, the reactive compensation technique according to the present invention will be explained on a basic basis:
reactive compensation: the method is a technology which plays a role in improving the power factor of a power grid in an electric power supply system, reduces the loss of a power supply transformer and a transmission line, improves the power supply efficiency and improves the power supply environment. Most electrical equipment needs reactive power and active power when operating.
Active power: directly consuming electric energy, converting the electric energy into mechanical energy, heat energy, chemical energy or sound energy, utilizing the energy to do work, and the part of power is called active power;
reactive power: consuming electric energy, but only converting it into another form of energy, which is a prerequisite for the electric equipment to be able to do work, and which is periodically converted with electric energy in the grid, this part of the power being called reactive power.
The square of the active power + the square of the reactive power = the square of the apparent power, is a trigonometric function.
Power factor = active power/apparent power, i.e. cos Φ = P/S, and power factor is a factor that measures the efficiency of an electrical device.
Under certain active power, the power factor is low, which indicates that the reactive power of the circuit for alternating magnetic field conversion is large, and the electric energy loss is larger, so that a power supply department has certain standard requirements on the power factor of a power consumption unit.
Electrical loads in the electrical network, such as motors, transformers, fluorescent lamps and arc furnaces, are mostly inductive loads, and these inductive devices need to absorb not only active power but also reactive power to the electrical power system during operation. Therefore, after the parallel capacitor reactive compensation equipment is installed in the power grid, the reactive power consumed by the inductive load can be provided and compensated, and the reactive power provided by the power supply side of the power grid to the inductive load and transmitted by a line is reduced. Because the flow of reactive power in the power grid is reduced, the electric energy loss of the transformer and the bus in the power transmission and distribution line caused by the transmission of the reactive power can be reduced, and the reactive compensation benefit is obtained. The main purpose of reactive compensation is to increase the power factor of the compensation system.
The reactive power compensation is adopted to improve the power factor, so that the electric energy loss generated by the transmission of reactive current in a line can be greatly reduced, the voltage at the end user can be effectively improved, and the economic operation level of the electrical equipment can be improved. Reactive power compensation has been a very important link in power supply and distribution systems.
Aiming at the problem that a reactive power instruction in a dead zone caused by an SVG regulation dead zone in reactive power compensation cannot be accurately regulated, the invention provides a small-demand distance optimizing reactive power compensation strategy considering SVG control precision, which comprises the following steps:
1. supposing n SVGs with the capacity of QrnEach forward control dead zone is anThe negative control dead zone is bnConsidered to be bn~anThe reactive measurement value in the device is not credible and is an adjusting dead zone, but the boundary is controllable;
2. if there is a very small reactive command QtargetThrough a series of combined adjustment of the n SVGs, each SVG has a reactive remote adjusting instruction exceeding or equal to the dead zone (there may be a case of inductive and capacitive reactive compensation at the same time), so that the Q can be realizedtargetAnd (4) precise control.
According to the above strategy, the method comprises the following specific steps:
step 1: assume that the total control accuracy requirement is QAccuMVar, capacity of Q for n stationsrnThe SVG of (1) sets each positive dead zone as an and negative control dead zone as bnTo obtain
A=[a1,a2,…,an]，B=[b1,b2,…,bn]；
Step 2: constructing an X matrix of size i n, i =2n；
Step 3: each column of X is assigned a value, the first column being assigned a1The second columns all assign a2The nth column all assigns an；
Step 4: iterating for n times, and modifying the nth column of X each time; each round iterates I times again, I =2n(ii) a The j row of the n column is modified each time by the following method:
let i =1, jold =1, j increases from 1, if j-jold =2N-n: jold = j, i = i + 1; taking the modulus of i to 2, if the remainder is 0, the j row to the (j + 2) th row of the n columnN-n-1) lines from anModified as bn。
Step 5: constructing the matrix Y, Y having a size of 2n*1；
Step 6: assign a value to each element of Y, the Y-th action sum (X)11，X1N)。
Step 7: setting a total dead zone Dpos_total=sum(a1，an)，Dneg_total=sum(b1，bn)。
Step 8: when Q istarget<Dneg_totalOr Qtarget>Dpos_totalWhen, if Qtarget>0, the reactive instruction of each SVG is an+(Qtarget-Dpos_total)*Qrn/Qrn_total(ii) a If Qtarget<0, the reactive instruction of each SVG is bn+(Qtarget-Dneg_total)*Qrn/Qrn_total；
Step 9: when D is presentneg_total<Qtarget<Dpos_totalWhile traversing the element search and Q in YtargetThe closest element, whose corner is recorded as J; the method comprises the following steps: setting the initial value of J to 1, QDistanceThe initial value is 0; if Qtarget-Yj|<=QDistanceThen J is assigned to J, | Qtarget-YjAssign | to QDistance。
Step 10: if QDistance<QAccuTaking out n elements in the jth row of the X, taking the n elements as reactive instructions, and respectively issuing the reactive instructions to the corresponding n SVGs, and finishing the strategy;
if QDistance>QAccuAnd (Q)target-Yj）>0, traversing n elements of the j row of X, finding the minimum value in the elements with the same direction, if the same minimum value exists, taking the most rear one, and converting QDistanceAll added to the instructions given to that device. If all the element directions are opposite to the element directions, then the Y is traversed again, and the AND Q is foundtargetThe nearest element, if | Qtarget-Yj|<=QDistanceAnd (Q)target>0&&Yj！=Dpos_total）||（Qtarget<0&&Yj！=Dneg_total) Then J is assigned to J, | Qtarget-YjAssign | to QDistance. If QDistance>QAccuAnd (Q)target-Yj）>0 then go through n elements of the j-th row of X, find the minimum of the elements whose direction is the same, and put QDistanceAll of which are added to the instructions given to the piece of equipment, there will no longer be a case where all elements are in the opposite direction.
The invention is applied to software and can comprise the following modules:
the combination module combines the positive and negative control dead zones of the plurality of SVGs to obtain a plurality of groups of boundary dead zones;
the compensation module is used for realizing the accurate compensation in the dead zone based on the minimum regulating quantity for the reactive instruction through a distance optimization algorithm;
and the combination strategy module is used for controlling the combination strategy of the multiple groups of boundary dead zones to ensure that each SVG has the minimum load on the premise of accurately realizing accurate regulation and control.
And the feedback check module is used for performing feedback check when the difference value between the selected boundary dead zone and the control target exceeds the control precision requirement, and realizing accurate compensation under the conditions of realizing the minimum regulating quantity and causing the minimum reactive circulation.
The method of the invention is analyzed below with reference to specific examples:
setting a 250MW new energy station, configuring 3 SVGs (scalable vector graphics) with 35 MVars, adjusting dead zones to be 2.5MVar, 3MVar and 3.5MVar respectively, and requiring the total control precision to be 1 MVar;
step 1: constructing matrixes A and B aiming at the 3 SVGs to obtain matrixes A and B
Figure DEST_PATH_IMAGE002
Step 2: constructing an X matrix with the size of 8X 3;
step 3: assigning a value to each column of X, resulting in X being:
Figure DEST_PATH_IMAGE004
step 4: iterating for 3 times, and modifying the nth column of X each time; each iteration is carried out for 8 times; modifying the jth row of the nth column each time, taking the iteration factor i modulo 2, and if the remainder is 0, taking the (i × 2) th row of the nth columnN-n-1+ 1) lines to (i x 2)N-n-1+2N-n) Line slave anModified as bnTo obtain X:
Figure DEST_PATH_IMAGE006
step 5: the matrix Y was constructed with a size of 8 x 1.
Step 6: assigning a value to each element of Y, resulting in:
Figure DEST_PATH_IMAGE008
step 7: setting a total dead zone Dpos_total=9，Dneg_total=-9。
Step8：
If Qtarget=12MVar>9Mar, then give the idle instruction under this 3 SVG respectively and be:
SVG1：（12-9）*35/（35+35+35)+2.5=3.5MVar；
SVG2：（12-9）*35/（35+35+35)+3=4MVar；
SVG3：（12-9）*35/（35+35+35)+3.5=4.5MVar；
if Qtarget=-12MVar<9Mvar, respectively giving the reactive instructions under the 3 SVGs as:
SVG1：（-12+9）*35/（35+35+35)-2.5=-3.5MVar；
SVG2：（-12+9）*35/（35+35+35)-3=-4MVar；
SVG3：（-12+9）*35/（35+35+35)-3.5=-4.5MVar；
step 9: if QtargetGo through Y for =2.5Mvar, find the nearest element to 2.5Mvar to be 3 with a subscript of 3.
Step 10: and (3-2.5) judging that the MVar is smaller than the control precision requirement 1MVar, finding a third line in the X, obtaining instructions for the three SVGs, wherein the instructions are respectively 2.5Mvar, -3Mvar and 3.5Mvar, and finishing the adjustment.
If QtargetIf =6Mvar, less than 9Mvar, then go through Y to find the element 4 closest to it, with its corner labeled 5. Judging (6-4) that the MVar is greater than the control precision requirement 1MVar, finding a line 5 in the X, and obtaining instructions for the three SVGs, wherein the instructions are-2.5 Mvar, 3Mvar and 3.5Mvar respectively; and (3) if 2Mvar still needs to be adjusted, finding the minimum value which is 3Mvar and is the same as the direction of 2, adding all the 2Mvar to the device, finally obtaining the adjustment instructions of the three SVGs, namely-2.5 Mvar, 5Mvar and 3.5Mvar respectively, and finishing the adjustment.
The innovation points of the invention over the prior art are as follows:
(1) the invention solves the self defect of hardware equipment by a control algorithm of software, thereby achieving accurate control;
(2) the positive and negative control dead zones of a plurality of SVGs are combined to obtain a plurality of groups of boundary dead zones, and the plurality of groups of boundaries are a combination strategy which can enable each SVG to have the minimum load on the premise of accurately realizing accurate regulation and control;
(3) the method can realize accurate compensation in the dead zone based on the minimum regulating quantity based on the distance optimization algorithm;
(4) the invention provides a feedback check method when the difference value between the selected boundary dead zone and the control target exceeds the control precision requirement, and the method can realize accurate compensation under the conditions of realizing the minimum regulating quantity and causing the minimum reactive circulation.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (6)

1. A small-demand distance optimizing reactive power compensation method considering SVG control accuracy is characterized by comprising the following steps:
combining positive and negative control dead zones of a plurality of SVGs to obtain a plurality of groups of boundary dead zones, and realizing accurate compensation in the dead zones based on the minimum regulating quantity for reactive instructions through a distance optimization algorithm;
the method comprises the following specific steps:
s1: assume that the total control accuracy requirement is QAccuMVar, capacity of Q for n stationsrnThe SVG of (1) sets each forward dead zone as anThe negative control dead zone is bnTo obtain a matrix
A=[a1,a2,…,an]，B=[b1,b2,…,bn]；
S2: constructing an X matrix of size i n, i =2n；
S3: each column of X is assigned a value, the first column being assigned a1The second columns all assign a2The nth column all assigns an；
S4: iterating for n times, and modifying the nth column of X each time; each round iterates I times again, I =2n(ii) a The j row of the n column is modified each time by the following method:
let i =1, jold =1, j increases from 1, if j-jold =2N-n: jold = j, i = i + 1; taking the modulus of i to 2, if the remainder is 0, the j row to the (j + 2) th row of the n columnN-n-1) lines from anModified as bn；
S5: constructing the matrix Y, Y having a size of 2n*1；
S6: assign a value to each element of Y, the Y-th action sum (X)11，X1N)；
S7: setting a total forward dead zone Dpos_total=sum(a1，an) Total negative dead zone Dneg_total=sum(b1，bn)；
S8: when the idle command Qtarget<Dneg_totalOr Qtarget>Dpos_totalWhen, if Qtarget>0, the reactive instruction of each SVG is an+(Qtarget-Dpos_total)*Qrn/Qrn_total(ii) a If Qtarget<0, the reactive instruction of each SVG is bn+(Qtarget-Dneg_total)*Qrn/Qrn_total(ii) a Wherein Qrn_totalThe total capacity of n SVGs;
s9: when D is presentneg_total<Qtarget<Dpos_totalWhile traversing the element search and Q in YtargetThe closest element, whose corner is recorded as J; the method comprises the following steps: setting the initial value of J to 1, QDistanceThe initial value is 0; if Qtarget-Yj|<=QDistanceThen J is assigned to J, | Qtarget-YjAssign | to QDistance；
S10: if QDistance<QAccuTaking out n elements in the jth row of the X, taking the n elements as reactive instructions, and respectively issuing the reactive instructions to the corresponding n SVGs, and finishing the strategy;
if QDistance>QAccuAnd (Q)target-Yj）>0, traversing n elements of the j row of X, finding the minimum value in the elements with the same direction, if the same minimum value exists, taking the most rear one, and converting QDistanceAll the instructions are added to the corresponding SVG; if all the element directions are opposite to the element directions, then the Y is traversed again, and the AND Q is foundtargetThe nearest element, if | Qtarget-Yj|<=QDistanceAnd (Q)target>0&&Yj！=Dpos_total）||（Qtarget<0&&Yj！=Dneg_total) Then J is assigned to J, | Qtarget-YjAssign | to QDistance (ii) a If QDistance>QAccuAnd (Q)target-Yj）>0 then go through n elements of the j-th row of X, find the minimum of the elements whose direction is the same, and put QDistanceAll added to the instructions given to that device.
2. The small-demand distance optimization reactive power compensation method considering the SVG control accuracy of claim 1, wherein the combination strategy of the multiple sets of boundary dead zones is to have the minimum load on the premise of realizing accurate regulation and control for each SVG.
3. The small-demand distance optimization reactive power compensation method considering the SVG control accuracy of claim 1, wherein the feedback check is performed when the difference between the selected boundary dead zone and the control target exceeds the control accuracy requirement, and the accurate compensation is realized under the condition of realizing the minimum regulating quantity and causing the minimum reactive circulation.
4. The utility model provides a take into account SVG control accuracy's small demand distance optimizing reactive power compensator which characterized in that includes:
the combination module combines the positive and negative control dead zones of the plurality of SVGs to obtain a plurality of groups of boundary dead zones;
the compensation module is used for realizing the accurate compensation in the dead zone based on the minimum regulating quantity for the reactive instruction through a distance optimization algorithm;
the method specifically comprises the following steps:
assume that the total control accuracy requirement is QAccuMVar, capacity of Q for n stationsrnThe SVG of (1) sets each forward dead zone as anThe negative control dead zone is bnTo obtain a matrix
A=[a1,a2,…,an]，B=[b1,b2,…,bn]；
Constructing an X matrix of size i n, i =2n；
Each column of X is assigned a value, the first column being assigned a1The second columns all assign a2The nth column all assigns an；
Iterating for n times, and modifying the nth column of X each time; each round iterates I times again, I =2n(ii) a The j row of the n column is modified each time by the following method:
let i =1, jold =1, j increases from 1, if j-jold =2N-n: jold = j, i = i + 1; taking the modulus of i to 2, if the remainder is 0, the j row to the (j + 2) th row of the n columnN-n-1) lines from anModified as bn；
Constructing the matrix Y, Y having a size of 2n*1；
Assign a value to each element of Y, line YIs sum (X)11，X1N)；
Setting a total forward dead zone Dpos_total=sum(a1，an) Total negative dead zone Dneg_total=sum(b1，bn)；
When the idle command Qtarget<Dneg_totalOr Qtarget>Dpos_totalWhen, if Qtarget>0, the reactive instruction of each SVG is an+(Qtarget-Dpos_total)*Qrn/Qrn_total(ii) a If Qtarget<0, the reactive instruction of each SVG is bn+(Qtarget-Dneg_total)*Qrn/Qrn_total(ii) a Wherein Qrn_totalThe total capacity of n SVGs;
when D is presentneg_total<Qtarget<Dpos_totalWhile traversing the element search and Q in YtargetThe closest element, whose corner is recorded as J; the method comprises the following steps: setting the initial value of J to 1, QDistanceThe initial value is 0; if Qtarget-Yj|<=QDistanceThen J is assigned to J, | Qtarget-YjAssign | to QDistance；
If QDistance<QAccuTaking out n elements in the jth row of the X, taking the n elements as reactive instructions, and respectively issuing the reactive instructions to the corresponding n SVGs, and finishing the strategy;
if QDistance>QAccuAnd (Q)target-Yj）>0, traversing n elements of the j row of X, finding the minimum value in the elements with the same direction, if the same minimum value exists, taking the most rear one, and converting QDistanceAll the instructions are added to the corresponding SVG; if all the element directions are opposite to the element directions, then the Y is traversed again, and the AND Q is foundtargetThe nearest element, if | Qtarget-Yj|<=QDistanceAnd (Q)target>0&&Yj！=Dpos_total）||（Qtarget<0&&Yj！=Dneg_total) Then J is assigned to J, | Qtarget-YjAssign | toQDistance (ii) a If QDistance>QAccuAnd (Q)target-Yj）>0 then go through n elements of the j-th row of X, find the minimum of the elements whose direction is the same, and put QDistanceAll added to the instructions given to that device.
5. The small-demand distance optimization reactive power compensation device considering the SVG control accuracy of claim 4, further comprising a combination strategy module, wherein the combination strategy for controlling the multiple sets of boundary dead zones is to have a minimum load on the premise of accurately implementing accurate regulation and control on each SVG.
6. The small-demand distance optimizing reactive power compensation device considering the SVG control accuracy of claim 4, further comprising a feedback check module for performing feedback check when the difference between the selected boundary dead zone and the control target exceeds the control accuracy requirement, and implementing accurate compensation under the condition of implementing minimum regulation and causing minimum reactive circulation.
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