CN108808745A - A kind of dynamic reactive power optimization method of active distribution network - Google Patents
A kind of dynamic reactive power optimization method of active distribution network Download PDFInfo
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- CN108808745A CN108808745A CN201810638683.1A CN201810638683A CN108808745A CN 108808745 A CN108808745 A CN 108808745A CN 201810638683 A CN201810638683 A CN 201810638683A CN 108808745 A CN108808745 A CN 108808745A
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
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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
- 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]
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Abstract
The present invention provides a kind of dynamic reactive power optimization methods of active distribution network, including obtain the primary data of active distribution network；Determine the object function of idle work optimization；Rate of load condensate is handled；Distributed generation resource output is handled；Calculate each period allocation optimum data；Static reactive optimization is carried out to active distribution network, whether setting two indices need to act with judgment means, finally, obtain the Dynamic reactive power optimization scheme of power distribution network.The fluctuation that the present invention contributes to the time variation of load with distributed generation resource accounts for, it is segmented as unit of hour, it contributes to following one day DG and rate of load condensate curve is handled, then static reactive optimization is carried out within each period to obtain corresponding allocation optimum data, by the way that two indices threshold value is arranged to judge the action situation of device in time adjacent segments, this process simplify the Dynamic reactive power optimization processes of active distribution network, reduce the action frequency of device, while there is good exploitativeness.
Description
Technical field
The present invention relates to technical field of power systems, more specifically to a kind of consideration transmission loss index and variation
The dynamic reactive power optimization method of the active distribution network of figureofmerit.
Background technology
Distributed generation resource is grid-connected to generate the trend of power distribution network certain impact, and no small variation occurs.When with going out
When the DG of fluctuation is incorporated to power distribution network, all power distribution network may occur into for the moment different degrees of influence, it is contemplated that this point,
Therefore corresponding idle work optimization measure need to be used, system is optimized so that stability is improved with safety.And more often
The static reactive optimizing research seen, research angle lay particular emphasis on the improvement of optimization algorithm, and the present invention will be to the dynamic of active distribution network
The expansion research of idle work optimization strategy, is to have practice to be worth very much.
For the actual conditions closer to Operation of Electric Systems, when carrying out idle work optimization to power distribution network, it should will be idle
Research is added in fluctuation, the variability of load that switching number constraint, the DG of compensation device contribute, and could have more reality meaning
Justice.Therefore, the present invention studies the Dynamic reactive power optimization strategy of active distribution network, takes a kind of mode of simplification, is dropping
Low network loss under the premise of improving voltage level, reduces optimization device action number, has good application.
Invention content
The purpose of the present invention is on the basis of ensureing the economy and stability of system, simplify method, provide a kind of master
The dynamic reactive power optimization method of dynamic power distribution network, reduces the action frequency of device whole day, has more reasonability and objectivity, to actively
The research of power distribution network Dynamic reactive power optimization strategy has reference significance.
The present invention adopts the following technical scheme that：
A kind of dynamic reactive power optimization method of active distribution network, includes the following steps：
A, the primary data of active distribution network is obtained；
B, the object function of idle work optimization is determined；
C, rate of load condensate is handled；
D, distributed generation resource output is handled；
E, each period allocation optimum data are calculated；
F, static reactive optimization is carried out to active distribution network, whether the constraints of two variables of setting is needed with judgment means
It acts, obtains entire Dynamic reactive power optimization scheme；
In step a, the primary data of the acquisition active distribution network, including：Collect each node and each branch
Data, obtain whole day rate of load condensate and distributed generation resource contribute the case where；
In step b, the idle work optimization object function includes power distribution network active power loss f1With voltage deviation f2, expression formula
It is as follows:
In above formula, UiAnd UjThe respectively voltage magnitude of node i and node j；GijFor the conductance of i-j branches；θijFor node i
With the phase angle difference of the voltage of node j；N is the set of all node compositions of power distribution network,For the maximum permissible voltage of node i
Deviant；For the desired voltage of node i；
In step f, the general objective function expression that active distribution network carries out static reactive optimization is：
Minf=ω1f1+ω2f2 (3)
In above formula, f is idle work optimization catalogue scalar functions, ω1、ω2For weights, and there is ω1+ω2=1；
The constraints of the variable includes that the active power of each node and reactive power equilibrium constrain and respectively control variable
Constraint；
Active power and the reactive power equilibrium constraint of each node are as follows：
Each control variables constraint is as follows：
Tmin< T < Tmax (6)
QC.min< QC< QC.max (7)
QDG.min< QDG< QDG.max (8)
CT≤CTmax (9)
Wherein, PiAnd QiThe respectively active power and reactive power of node injection；BijFor the susceptance of i-j branches；T is to have
The position of voltage adjustment of on-load load tap changer, TminAnd TmaxRespectively on-load regulator transformer minimum gear and maximum gear；QCFor
The reactive capability of shunt capacitor, Qc.minAnd Qc.maxThe respectively minimum value and maximum value of shunt capacitor reactive capability；QDGFor
Distributed generation resource without work output, QDG.minAnd QDG.maxThe respectively minimum value and maximum without work output of distributed generation resource
Value；CTIndicate the number of device whole day action, CTmaxIndicate the maximum value that same day device action number allows.
In a preferred embodiment：In step c, one day continuous load is segmented, sliding-model control, in integral
Value theorem is classified as 24 periods as calculated load.
In a preferred embodiment：In step d, distributed generation resource output fluctuation is accounted for, by distributed generation resource
Day, output power situation was segmented, and sliding-model control handles the output for 24 periods with INTEGRAL THEOREM OF MEAN.
In a preferred embodiment：In step e, corresponding static reactive optimization is carried out to each period and is calculated, is obtained
The device configuring condition in the case of OPTIMAL REACTIVE POWER optimization in each period, i.e., optimal device configuration data.
In a preferred embodiment：In step f, for first period, device uses the optimal device of the period
Configuration data；Since second period, the device configuration data of the use in the previous period is applied into the time
It is interior, idle output is adjusted by DG and carries out idle work optimization, calculates corresponding active power loss slip and voltage deviation slip,
And by the two indexs under allocation optimum active power loss slip and the progress of voltage deviation slip is corresponding compares, respectively
Two threshold values are set, as long as the setting value for having one to be more than respective threshold, that is, are determined as that data deviation is more than desired value, this fashionable dress
It sets and needs to act；Otherwise, the device configuration in the last period can be continued, and so on until the 24th period, processing
It finishes.
In a preferred embodiment：Described two threshold values, one refers to network loss slip, another refers to that voltage is inclined
Shifting amount slip；
It is t to take current time, and the time of a upper period is t-1, and network loss is reduced after network loss slip refers to idle work optimization
The ratio of amount and network loss before idle work optimization, voltage deviation slip refer to after idle work optimization voltage deviation decrement with it is idle excellent
The ratio of voltage deviation before changing；
Static reactive optimization is carried out respectively to each period, corresponding idle work optimization allocation optimum is obtained, in current time
After section t carries out idle work optimization, network loss slip under allocation optimum is enabled to be expressed as Δ Pt%, voltage deviation slip are expressed as Δ
Ut%, it is Δ P that the configuration of the preceding paragraph time t-1, which is substituted into the network loss slip obtained after current time t,t' %, voltage deviation
Slip is Δ Ut' %, threshold value is respectively set as M1And M2.Wherein, the actual demand of the setting and policymaker of two threshold sizes
It is related, it is in the light of actual conditions set, value is all taken as 2.5% both in this patent, meets case history demand.Following two
As long as formula meets one of them, then judge that the period idle work optimization device needs to act：
|ΔPt' %- Δs Pt% | > M1 (10)
|ΔUt' %- Δs Ut% | > M2 (11)
If two formulas (10) above are unsatisfactory for (11), judge that the t periods can adopt the idle excellent of t-1 periods
Configuration is set in makeup, without being adjusted.
By the above-mentioned description of this invention it is found that compared with prior art, the present invention has the advantages that：
It is handled with distributed generation resource active power output by the rate of load condensate to real-time change, using a kind of dynamic of simplification
Idle work optimization strategy is compared and analyzed idle to judge based on static reactive optimization at times by two threshold values of setting
Whether optimizing device action, this method can effectively reduce the whole network active loss of power grid, improve node voltage level, be conducive to
Power grid security economical operation, and the action frequency for reducing idle work optimization device of big degree on this basis, meet expection, tool
There is certain practice value.
Description of the drawings
Fig. 1 is a kind of flow chart of the dynamic reactive power optimization method of active distribution network of the present invention；
Specific implementation mode
The present invention provides a kind of dynamic reactive power optimization methods of active distribution network, by having to load and distributed generation resource
One day rate of load condensate and DG output situations are divided into 24 periods and studied, using a kind of simplification by the processing that work(is contributed
Dynamic reactive power optimization strategy, based on static reactive optimization at times, by setting whether two threshold values need Reactive Power Device
Action carries out discriminatory analysis, and this method is applied in example, simulation study is passed through, it is known that this method can effectively reduce net
Damage makes node voltage level improve, and under the premise of ensureing system economy with stability, big degree reduces the dynamic of device
Make number, there is certain practice to be worth.
It is a kind of consider idle work optimization distributed generation resource access power distribution network appraisal procedure as shown in Figure 1, include following step
Suddenly：
A, the primary data of active distribution network is obtained；
B, the object function of idle work optimization is determined；
C, rate of load condensate is handled；
D, distributed generation resource output is handled；
E, each period allocation optimum data are calculated；
F, static reactive optimization is carried out to active distribution network, whether setting two indices need to act with judgment means, most
After obtain entire Dynamic reactive power optimization scheme.
In step a, the primary data of described pair of acquisition active distribution network, including：Collect each node and each branch
The case where data, acquisition rate of load condensate and distributed generation resource are contributed.
In step b, idle work optimization object function includes power distribution network active power loss f1With voltage deviation f2, expression formula is as follows:
In above formula, UiAnd UjThe respectively voltage magnitude of node i and node j；GijFor the conductance of i-j branches；θijFor node i
With the phase angle difference of the voltage of node j；N is the set of all node compositions of system,It is inclined for the maximum permissible voltage of node i
Shifting value；For the desired voltage of node i.
GA for reactive power optimization general objective function expression is in the present invention：
Minf=ω1f1+ω2f2 (25)
In above formula, f is idle work optimization catalogue scalar functions, f1For power distribution network active power loss, f2For voltage deviation, ω1、ω2
For weights, and there is ω1+ω2=1.
Active power and the reactive power equilibrium constraint of each node are as follows：
Each control variables constraint is as follows：
Tmin< T < Tmax (28)
QC.min< QC< QC.max (29)
QDG.min< QDG< QDG.max (30)
CT≤CTmax (31)
Wherein, PiAnd QiThe respectively active power and reactive power of node injection；BijFor the susceptance of i-j branches；T is to have
The position of voltage adjustment of on-load load tap changer, TminAnd TmaxRespectively on-load regulator transformer minimum gear and maximum gear；QcFor
The reactive capability of shunt capacitor, Qc.minAnd Qc.maxThe respectively minimum value and maximum value of shunt capacitor reactive capability；QDGFor
Distributed generation resource without work output, QDG.minAnd QDG.maxThe respectively minimum value and maximum without work output of distributed generation resource
Value；CTIndicate the number of device whole day action, CTmaxIndicate the maximum value that same day device action number allows.
In step c, one day continuous load is segmented, sliding-model control is classified as 24 with INTEGRAL THEOREM OF MEAN
A period is as calculated load.
In step d, distributed generation resource output fluctuation is accounted for, by the processing of distributed generation resource day output power situation
For the output of 24 periods.
In step e, corresponding static reactive optimization is carried out to each period and is calculated, is obtained optimal in each period
The data of idle work optimization device configuration.
In step f, for first period, device uses the allocation optimum data of the period.From second time
Section starts, and the device configuration in the previous period was applied in the time, and it is idle excellent to adjust idle output progress by DG
Change, calculate corresponding active power loss slip and voltage deviation slip, and by the two indexs and having under allocation optimum
Work(network loss slip and voltage deviation slip are accordingly compared, and two threshold values are respectively set, as long as there is one to be more than phase
The setting value of threshold value is answered, that is, is determined as that data deviation is more than desired value, device needs to act at this time；Otherwise, can continue last
Device configuration in period, and so on until the 24th period, be disposed.
Two threshold values mentioned above, one refers to network loss slip, another refers to voltage deviation slip.
It is t to take current time, and the time of a upper period is t-1, and network loss is reduced after network loss slip refers to idle work optimization
The ratio of (network loss is in the difference before and after idle work optimization) and network loss before idle work optimization is measured, voltage deviation slip refers to idle work optimization
Voltage deviation decrement (i.e. voltage deviation is in the difference before and after idle work optimization) and voltage deviation before idle work optimization afterwards
Ratio.
Static reactive optimization is carried out respectively to each period, corresponding idle work optimization allocation optimum is obtained, in current time
After section t carries out idle work optimization, network loss slip under allocation optimum is enabled to be expressed as Δ Pt%, voltage deviation slip are expressed as Δ
Ut%, it is Δ P that the configuration of the preceding paragraph time t-1, which is substituted into the network loss slip obtained after current time t,t' %, voltage deviation
Slip is Δ Ut' %, threshold value is respectively set as M1And M2.Wherein, the actual demand of the setting and policymaker of two threshold sizes
It is related, it is in the light of actual conditions set, value is all taken as 2.5% both in this patent, meets case history demand.Following two
As long as formula meets one of them, then judge that the period idle work optimization device needs to act：
|ΔPt' %- Δs Pt% | > M1 (32)
|ΔUt' %- Δs Ut% | > M2 (33)
If two formulas (32) above are unsatisfactory for (33), judge that the t periods can adopt the idle excellent of t-1 periods
Configuration is set in makeup, without being adjusted.
The two indices of setting, one of them is active power loss slip, the other is voltage deviation slip, the two
Starting point it is corresponding be economy problems and safety and stability sex chromosome mosaicism so that the result of idle work optimization can meet constraint
The limitation of condition reduces the action frequency of device, and can ensure the economy and stability of prioritization scheme as possible, has centainly
Practice is worth.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement etc., should be included in the claims in the present invention made by within the spirit and principle of invention
Protection domain within.
Claims (6)
1. a kind of dynamic reactive power optimization method of active distribution network, which is characterized in that include the following steps：
A, the primary data of active distribution network is obtained；
B, the object function of idle work optimization is determined；
C, rate of load condensate is handled；
D, distributed generation resource output is handled；
E, each period allocation optimum data are calculated；
F, static reactive optimization is carried out to active distribution network, whether the constraints of two variables of setting needs to move with judgment means
Make, obtains entire Dynamic reactive power optimization scheme；
In step a, the primary data of the acquisition active distribution network, including：The data of each node and each branch are collected,
The case where obtaining the rate of load condensate and distributed generation resource output of whole day；
In step b, the idle work optimization object function includes power distribution network active power loss f1With voltage deviation f2, expression formula is as follows:
In above formula, UiAnd UjThe respectively voltage magnitude of node i and node j；GijFor the conductance of i-j branches；θijFor node i and section
The phase angle difference of the voltage of point j；N is the set of all node compositions of power distribution network,It is deviated for the maximum permissible voltage of node i
Value；For the desired voltage of node i；
In step f, the general objective function expression that active distribution network carries out static reactive optimization is：
Minf=ω1f1+ω2f2 (3)
In above formula, f is idle work optimization catalogue scalar functions, ω1、ω2For weights, and there is ω1+ω2=1；
The constraints of the variable includes the active power of each node and reactive power equilibrium constrains and each control variables constraint；
Active power and the reactive power equilibrium constraint of each node are as follows：
Each control variables constraint is as follows：
Tmin< T < Tmax (6)
QC.min< QC< QC.max (7)
QDG.min< QDG< QDG.max (8)
CT≤CTmax (9)
Wherein, PiAnd QiThe respectively active power and reactive power of node injection；BijFor the susceptance of i-j branches；T is to have load to adjust
The position of pressure transformer tap, TminAnd TmaxRespectively on-load regulator transformer minimum gear and maximum gear；QCFor parallel connection
The reactive capability of capacitor, Qc.minAnd Qc.maxThe respectively minimum value and maximum value of shunt capacitor reactive capability；QDGFor distribution
Formula power supply without work output, QDG.minAnd QDG.maxThe respectively minimum value and maximum value without work output of distributed generation resource；
CTIndicate the number of device whole day action, CTmaxIndicate the maximum value that same day device action number allows.
2. the dynamic reactive power optimization method of active distribution network according to claim 1, which is characterized in that in step c, by one
Its continuous load is segmented, and sliding-model control uses INTEGRAL THEOREM OF MEAN to be classified as 24 periods as calculated load.
3. the dynamic reactive power optimization method of active distribution network according to claim 1, which is characterized in that in step d, will divide
Cloth power supply output fluctuation accounts for, and distributed generation resource day output power situation is segmented, sliding-model control, with product
It is the output of 24 periods to divide mean value theorem processing.
4. the dynamic reactive power optimization method of active distribution network according to claim 1, which is characterized in that in step e, to every
A period carries out corresponding static reactive optimization and calculates, and obtains the device in the case of the OPTIMAL REACTIVE POWER optimization in each period
Configuring condition, i.e., optimal device configuration data.
5. the dynamic reactive power optimization method of active distribution network according to claim 1, which is characterized in that in step f, for
First period, device use the optimal device configuration data of the period；Since second period, when will be previous
Between the device configuration data of use in section apply in the time, adjusting idle output by DG carries out idle work optimization, calculates
Corresponding active power loss slip and voltage deviation slip, and the two indexs and the active power loss under allocation optimum are subtracted
Few rate and voltage deviation slip are accordingly compared, and two threshold values are respectively set, as long as there is one to be more than respective threshold
Setting value is determined as that data deviation is more than desired value, device needs to act at this time；Otherwise, can continue in the last period
Device configuration, and so on until the 24th period, be disposed.
6. the dynamic reactive power optimization method of active distribution network according to claim 5, it is characterised in that：Described two thresholds
Value, one refers to network loss slip, another refers to voltage deviation slip；
It is t to take current time, and time of a upper period is t-1, network loss slip refer to after idle work optimization network loss decrement with
The ratio of network loss before idle work optimization, voltage deviation slip refer to after idle work optimization voltage deviation decrement with before idle work optimization
The ratio of voltage deviation；
Static reactive optimization is carried out respectively to each period, obtains corresponding idle work optimization allocation optimum, current slot t into
After row idle work optimization, network loss slip under allocation optimum is enabled to be expressed as Δ Pt%, voltage deviation slip are expressed as Δ Ut%,
It is Δ P that the configuration of the preceding paragraph time t-1, which is substituted into the network loss slip obtained after current time t,t' %, voltage deviation reduction
Rate is Δ Ut' %, threshold value is respectively set as M1And M2.Wherein, the setting of two threshold sizes and the actual demand of policymaker have
It closes, is in the light of actual conditions set, value is all taken as 2.5% both in this patent, meets case history demand.Following two formula
As long as son meets one of them, then judge that the period idle work optimization device needs to act：
|ΔPt' %- Δs Pt% | > M1 (10)
|ΔU′t%- Δs Ut% | > M2 (11)
If two formulas (10) above are unsatisfactory for (11), judge that the t periods can adopt the idle work optimization dress of t-1 periods
Configuration is set, without being adjusted.
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