CN109449951A - The method and relevant apparatus of reactive power optimization of power system under a kind of electricity market background - Google Patents
The method and relevant apparatus of reactive power optimization of power system under a kind of electricity market background Download PDFInfo
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- CN109449951A CN109449951A CN201811495720.4A CN201811495720A CN109449951A CN 109449951 A CN109449951 A CN 109449951A CN 201811495720 A CN201811495720 A CN 201811495720A CN 109449951 A CN109449951 A CN 109449951A
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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
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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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- 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
- Y02E40/30—Reactive power compensation
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Abstract
The embodiment of the present application discloses the method and relevant apparatus of reactive power optimization of power system under a kind of electricity market background, comprising: obtains the system parameter of electric system；The expression formula with active power loss and the minimum reactive power optimization of power system objective function of idle expense is determined according to the system parameter and preset Electricity Price information；The constraint condition of the power system stability operation is determined according to the system parameter；It is iterated calculating according to preset optimization algorithm, and carries out the judgement of safety to each idle work optimization scheme after iterative calculation according to preset criterion, then meets from safety and determines OPTIMAL REACTIVE POWER prioritization scheme in all scheduling schemes of preset requirement.This method considers the problems of Security Checking, electric energy can be reduced to the maximum extent in active power loss and idle disbursement in the case where guaranteeing that power system security is stablized, save operation of power networks to the maximum extent and dispatch expense, realize that electrical network economy maximizes, and application range is wider.
Description
Technical field
This application involves power system reactive powers under technical field of electric power system control more particularly to a kind of electricity market background
The method and relevant apparatus of optimization.
Background technique
System voltage quality can be improved by optimizing scheduling and control to Power System Reactive Power, reduce electric energy transmission
Loss, to guarantee the safe and economic operation of electric system.Idle work optimization is a non-linear, multi-period, large-scale dynamic
Optimization problem, traditional Reactive Power Optimization Algorithm for Tower mainly linear law of planning, Nonlinear Programming Method and dynamic programming etc., but it is above-mentioned
Reactive Power Optimization Algorithm for Tower haves the defects that " dimension calamity ", that is, only considered line loss and idle expense, does not account for asking for Security Checking
Topic, so being of limited application.
Summary of the invention
The embodiment of the present application provides the method and relevant apparatus of reactive power optimization of power system under a kind of electricity market background,
This method considers the problems of Security Checking, can reduce to the maximum extent electricity in the case where guaranteeing that power system security is stablized
It can save to the maximum extent operation of power networks in active power loss and idle disbursement and dispatch expense, realize that electrical network economy maximizes,
And application range is wider.
In view of this, the application first aspect provides a kind of side of reactive power optimization of power system under electricity market background
Method, comprising:
Obtain the system parameter of electric system；
It is determined according to the system parameter and preset Electricity Price information minimum with active power loss and idle expense
For the expression formula of reactive power optimization of power system objective function；
The constraint condition of the power system stability operation is determined according to the system parameter；
Be iterated calculating according to preset optimization algorithm, and according to preset criterion to iterative calculation after each of
Idle work optimization scheme carries out the judgement of safety, and it is optimal that determination in all scheduling schemes of preset requirement is then met from safety
Idle work optimization scheme.
Preferably,
The optimization algorithm is particle swarm optimization algorithm or the algorithm that leapfrogs.
Preferably,
The criterion include N-1 principle and or N-2 principle.
Preferably,
The method, further includes:
All idle work optimization schemes for being unsatisfactory for preset requirement to safety optimize, and will be optimized after meet it is preset
It is required that idle work optimization scheme as planning operation counterplan.
Preferably,
The optimization algorithm is the algorithm that leapfrogs；
Calculating is iterated according to preset optimization algorithm to specifically include:
Population Evolution is carried out to multiple idle work optimization schemes of initialization；
Using the reactive power optimization of power system objective function as fitness function, and calculate each nothing after Population Evolution
The fitness value of function prioritization scheme；
The posterior part idle work optimization scheme of fitness value sequence is eliminated by preset ratio；
The maximum difference of fitness value in remaining all idle work optimization schemes is obtained, and judges the maximum difference and maximum
Whether the ratio of fitness value is less than threshold value, if being less than, terminates to iterate to calculate, otherwise continues to execute above-mentioned steps.
Preferably,
The constraint condition include trend equality constraint, PQ node voltage security constraint, generator node is idle range about
Beam, the idle installing capacity-constrained of function compensation node, the range constraint of load tap changer change in location, PV node voltage security are about
Beam, capacitor switching number restriction, the constraint of depressor tap change frequency.
The application second aspect provides a kind of device of reactive power optimization of power system under electricity market background, comprising:
Parameter acquiring unit, for obtaining the system parameter of electric system；
Expression formula determination unit, for being determined according to the system parameter and preset Electricity Price information with active
The expression formula of network loss and the minimum reactive power optimization of power system objective function of idle expense；
Constraint condition determination unit, for determining the constraint item of the power system stability operation according to the system parameter
Part；
Optimize unit, for being iterated calculating according to preset optimization algorithm, and according to preset criterion to iteration meter
Each idle work optimization scheme after calculation carries out the judgement of safety, and all scheduling of preset requirement are then met from safety
OPTIMAL REACTIVE POWER prioritization scheme is determined in scheme.
Preferably,
The optimization unit specifically includes:
Population Evolution subelement, for carrying out Population Evolution to multiple idle work optimization schemes of initialization；
Fitness value calculation unit is used for using the reactive power optimization of power system objective function as fitness function, and
The fitness value of each idle work optimization scheme after calculating Population Evolution；
Screening unit, for eliminating the posterior part idle work optimization scheme of fitness value sequence by preset ratio；
End unit, for obtaining the maximum difference of fitness value in remaining all idle work optimization schemes, and described in judgement
Whether the ratio of maximum difference and maximum adaptation angle value is less than threshold value, if being less than, terminates to iterate to calculate, otherwise continue to execute
State step.
The application third aspect provides a kind of equipment of reactive power optimization of power system, and the equipment includes processor and deposits
Reservoir:
Said program code is transferred to the processor for storing program code by the memory；
The processor is for any one according to instruction execution the application first aspect in said program code
Kind Method for Reactive Power Optimization in Power.
The application fourth aspect provides a kind of computer readable storage medium, and the computer readable storage medium is for depositing
Program code is stored up, said program code is for executing any one reactive power optimization of power system side described in the application first aspect
Method.
As can be seen from the above technical solutions, the embodiment of the present application has the advantage that
In the embodiment of the present application, a kind of method of reactive power optimization of power system under electricity market background is provided, comprising: obtain
Take the system parameter of electric system；It is determining with active power loss and idle according to system parameter and preset Electricity Price information
The expression formula of the minimum reactive power optimization of power system objective function of expense；Power system stability operation is determined according to system parameter
Constraint condition；It is iterated calculating according to preset optimization algorithm, and according to preset criterion to every after iterative calculation
A idle work optimization scheme carries out the judgement of safety, then meets from safety in all scheduling schemes of preset requirement and determines most
Excellent idle work optimization scheme；The embodiment of the present application carries out the judgement of safety by preset criterion to idle work optimization scheme, so that
Finally determining idle work optimization scheme can satisfy the requirement of safety, can guarantee the stable situation of power system security
Under, electric energy is reduced to the maximum extent in active power loss and idle disbursement, is saved operation of power networks to the maximum extent and is dispatched expense,
Realize that electrical network economy maximizes, and application range is wider.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for reactive power optimization of power system under electricity market background in the embodiment of the present application；
Fig. 2 is the structure flow chart of the device of reactive power optimization of power system under electricity market background in the embodiment of the present application；
Fig. 3 is a kind of structural schematic diagram of electric system node system in the embodiment of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only this
Apply for a part of the embodiment, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall in the protection scope of this application.
Referring to Fig. 1, the process of the method for reactive power optimization of power system is shown under electricity market background in the embodiment of the present application
It is intended to.
The application first aspect provides a kind of method of reactive power optimization of power system under electricity market background, comprising:
101, obtain the system parameter of electric system.
It should be noted that the system parameter of electric system generally comprises nodal information, branch information, control variable number
With the value range of relevant parameter, can specifically include: each branch resistance, reactance and 1/2 charging susceptance, each transformer voltage ratio and
It is classified step-length, shunt capacitance susceptance bound, extension set step-length and gear number, idle adjustable generator output upper lower limit value node voltage
Limit value.
102, it is determined according to system parameter and preset Electricity Price information minimum with active power loss and idle expense
For the expression formula of reactive power optimization of power system objective function.
It should be noted that expression formula can beWherein, λlossFor active net
Damage marginal price；PlossFor the active power loss of electric system；SGFor the generator collection of electric system；fQk(QGk) it is kth
The idle disbursement of a affiliated reactive power source of non-power generating company, λloss、fQk(QGk) can be by electricity market Spot Price system
Electricity Price information is determining, PlossIt can be acquired by tidal current analysis.
Further it will be understood that the idle cost of different generators is different, thus can be used generator send it is idle
It is segmented quotation form and calculates fQk(QGk).For example, in the embodiment of the present application, being calculated using 3 sections of quotations of generator reactive point
Form, calculation formula is as follows:
Wherein, a, b, c are each section of reactive power bidding coefficient, are determined by genco；QGkThe idle output of generator, by generating electricity
Machine reactive power generated energy determines；QGkNIt is exported for the nominal reactive of generator.
103, the constraint condition of power system stability operation is determined according to system parameter.
It is understood that constraint condition include it is a variety of, can specifically be set according to actual needs.
104, calculating is iterated according to preset optimization algorithm, and according to preset criterion to iterative calculation after
Each idle work optimization scheme carries out the judgement of safety, then meets from safety in all scheduling schemes of preset requirement and determines
OPTIMAL REACTIVE POWER prioritization scheme.
It is understood that the safety for the OPTIMAL REACTIVE POWER prioritization scheme that the embodiment of the present application finally determines be meet it is preset
It is required that, so being scheduled by the OPTIMAL REACTIVE POWER prioritization scheme, so that electric system system has higher stability, i.e.,
So that certain is broken down, can also preferably guarantee the stable operation of electric system system, and existing idle work optimization scheme
Due to not accounting for safety, so once breaking down, the parameter that may cause Operation of Electric Systems is more than constraint above-mentioned
Condition, and then lead to bigger loss.
Therefore, in terms of with upper angle, the embodiment of the present application can be in the case where guaranteeing that power system security is stablized, most
Electric energy is reduced to limits in active power loss and idle disbursement, operation of power networks is saved to the maximum extent and dispatches expense, realize
Electrical network economy maximizes.
Further, optimization algorithm can be particle swarm optimization algorithm or the algorithm that leapfrogs.
Further, criterion include N-1 principle and or N-2 principle.
It should be noted that N-1 principle and N-2 principle are a kind of criterion for determining electric system；Specifically, N-1 is former
Then require, any independent component (generator, transmission line of electricity, transformer etc.) in N number of element of electric system break down and
After being removed, it should not cause to cause user to have a power failure because All other routes overload is tripped；The stability of electric system is not destroyed, no
There are the accidents such as collapse of voltage；N-2 principle is similar with N-1 principle, it is desirable that any two independent entries in N number of element of electric system
Part (generator, transmission line of electricity, transformer etc.) break down and be removed after, should not cause because All other routes overload trip due to
User is caused to have a power failure.
It is further to note that under normal circumstances, electric system can satisfy the requirement of N-1 principle, but be difficult to meet
The requirement of N-2 principle, so can be set as preset requirement cutting off any independent component electricity when criterion includes N-1 principle
Force system operation meets institute's Prescribed Properties, when criterion includes N-2 principle, preset requirement can be set as to cut off any two
Independent component Operation of Electric Systems meets the constraint condition of predetermined number.
Further, under electricity market background reactive power optimization of power system method, can also include:
105, all idle work optimization schemes for being unsatisfactory for preset requirement to safety optimize, and will optimized rear satisfaction
The idle work optimization scheme of preset requirement is as planning operation counterplan.
It is understood that if electric system causes idle work optimization scheme to be unsatisfactory for for some reason in actual operation
Preset requirement can be scheduled according to planning operation counterplan so that electric system can satisfy it is preset requirement and it is steady
Fixed operation.
Further, when optimization algorithm is to leapfrog algorithm, calculating is iterated according to preset optimization algorithm and specifically may be used
To include:
Population Evolution is carried out to multiple idle work optimization schemes of initialization；
Using reactive power optimization of power system objective function as fitness function, and each of calculate after Population Evolution idle excellent
The fitness value of change scheme；
The posterior part idle work optimization scheme of fitness value sequence is eliminated by preset ratio；
The maximum difference of fitness value in remaining all idle work optimization schemes is obtained, and judges maximum difference and maximum adaptation
Whether the ratio of angle value is less than threshold value, if being less than, terminates to iterate to calculate, otherwise continues to execute above-mentioned steps.
It is understood that the embodiment of the present application is poor by the maximum for limiting fitness value in all idle work optimization schemes
Value guarantees the active power loss for terminating to obtain all idle work optimization schemes after iterative calculation and idle expense near minimum value.
Further, constraint condition includes trend equality constraint, PQ node voltage security constraint, generator node is idle model
Enclose constraint, the idle installing capacity-constrained of function compensation node, the range constraint of load tap changer change in location, PV node voltage peace
Staff cultivation, capacitor switching number restriction, the constraint of depressor tap change frequency.
In the embodiment of the present application, the formula of trend equality constraint can be such that
Wherein, PGi、QGiThe respectively active and reactive power generation amount of node i；PDi、QDiRespectively node i it is active with it is idle
Load；ViFor the voltage magnitude of node i；θijFor node i, the phase difference of voltage of j；GijFor node i, the conductance of j；BijFor node
I, the susceptance of j.
The formula of PQ node voltage security constraint can be such that
Vimin≤Vi≤Vimax(i∈NPQ)
Wherein, Vimin、VimaxThe respectively voltage upper and lower limit of load bus i.Since the load level of different periods is different,
The voltage constraint of node may also be different.
The formula for range constraint that generator node is idle can be such that
QGimin≤QGi≤QGimax(i∈NG)
Wherein, QGimin、QGimaxThe respectively reactive power upper and lower limit of reactive power source node i.
The formula of the idle installing capacity-constrained of candidate compensation buses can be such that
QCimin≤QCi≤QCimax(i∈NC)
Wherein, QCimin、QCimaxThe idle installing capacity upper and lower limit of respectively candidate compensation buses i.
The formula of load tap changer change in location range constraint can be such that
Timin≤Ti≤Timax(i∈NT)
Wherein, Timin、TimaxRespectively transformer i tap joint position upper and lower limit.
The formula of PV node voltage security constraint can be such that
Vimin≤Vi≤Vimax(i∈NPV)
Wherein, Vimin、VimaxThe voltage upper and lower limit of generator node i respectively in addition to balance nodes.
The formula of capacitor switching number restriction can be such that
KCi≤KCimax(i∈NC)
Wherein, KCi、KCimaxSwitching frequency and maximum times of the respectively compensation capacitor i in 1d.
The formula of depressor tap change frequency constraint can be such that
KTi≤KTimax(i∈NT)
Wherein, KTi、KTimaxChange frequency and maximum times of the respectively tap adjustable transformer i in 1d.
It should be noted that the parameter of all of above constraint can be obtained from the system parameter of electric system.
Referring to Fig. 2, in the embodiment of the present application under electricity market background the device of reactive power optimization of power system structure stream
Cheng Tu.
The embodiment of the present application provides a kind of one embodiment of the device of reactive power optimization of power system under electricity market background,
Include:
Parameter acquiring unit 201, for obtaining the system parameter of electric system；
Expression formula determination unit 202, for being determined according to system parameter and preset Electricity Price information with active
The expression formula of network loss and the minimum reactive power optimization of power system objective function of idle expense；
Constraint condition determination unit 203, for determining the constraint condition of power system stability operation according to system parameter；
Optimize unit 204, for being iterated calculating according to preset optimization algorithm, and according to preset criterion to iteration
Each idle work optimization scheme after calculating carries out the judgement of safety, and all tune of preset requirement are then met from safety
OPTIMAL REACTIVE POWER prioritization scheme is determined in degree scheme.
Further, optimization unit 204 can specifically include:
Population Evolution subelement, for carrying out Population Evolution to multiple idle work optimization schemes of initialization；
Fitness value calculation unit is used for using reactive power optimization of power system objective function as fitness function, and calculates
The fitness value of each idle work optimization scheme after Population Evolution；
Screening unit, for eliminating the posterior part idle work optimization scheme of fitness value sequence by preset ratio；
End unit for obtaining the maximum difference of fitness value in remaining all idle work optimization schemes, and judges maximum
Whether the ratio of difference and maximum adaptation angle value is less than threshold value, if being less than, terminates to iterate to calculate, otherwise continues to execute above-mentioned step
Suddenly.
The embodiment of the present application also provides a kind of equipment of reactive power optimization of power system, and equipment includes processor and storage
Device:
Program code is transferred to processor for storing program code by memory；
Processor is used for any one electric system according to instruction execution the embodiment of the present application in program code
Idle work optimization method.
The application fourth aspect provides a kind of computer readable storage medium, and computer readable storage medium is for storing journey
Sequence code, program code is for executing any one Method for Reactive Power Optimization in Power described in the embodiment of the present application.
It for ease of understanding, below will be with a concrete application scene to reactive power optimization of power system under a kind of electricity market background
Method application be illustrated, application examples includes:
Referring to Fig. 3, a kind of structural schematic diagram of electric system node system in the embodiment of the present application.
By taking electric system node system shown in Fig. 3 as an example, by power train under the electricity market background of the embodiment of the present application
The method of idle work optimization of uniting and the method for traditional reactive power optimization of power system compare, to analyze the excellent of the embodiment of the present application
More property and feasibility.
In electric system node system shown in Fig. 3, there are 6 generator bus and 4 transformer branches, (6,9),
(6,10), (4,12) and (27,28) be transformer branch (respectively corresponding T1, T2, T3, T4), adjustable transformer branch it is adjustable
No-load voltage ratio range is ± 8 × 1.25%, and the node 10 and node 24 in system respectively have 5 groups of capacitor, the compensation of every group capacitor
Capacity is 4Mvar, and susceptance per unit value is 0.04.It is 1.00~1.07 that voltage magnitude per unit value, which limits range as load bus, is sent out
Motor node is 0.90~1.10, and the application example sets the active price of per unit reference power as 1；Generator node voltage
VG can consecutive variations, the adjusting step-length of transformer voltage ratio Tk is 0.0125, and the adjusting step-length of compensating electric capacity Qc is 0.04；At the beginning of network
Beginning state is that each generator bus voltage is 1.05, and each transformer voltage ratio is 1.0, and each compensator value is 0.The nothing of each generator
Function quotation such as the following table 1:
Control variable value (pu) before and after the 1 idle valuation of IEEE-30 node system of table
Then respectively by idle work optimization method in traditional idle work optimization method and the embodiment of the present application to optimizing in terms of
It calculates, wherein traditional idle work optimization method is only minimum with the whole network active power loss and reactive comprehensive expense, is indicated with objective function first,
Idle work optimization method is in the case where considering Security Checking, with the whole network active power loss and reactive comprehensive expense in the embodiment of the present application
Minimum is indicated with objective function second；It is as shown in Table 2-4 to optimize calculated result.
Generator reactive output before and after the idle valuation of table 2
Reactive-load compensation equipment and transformer control result before and after the idle valuation of table 3
Result before and after the idle valuation of table 4 compares
By above-mentioned optimization calculated result it is found that idle work optimization method influences the distribution of reactive power flow in the embodiment of the present application
It is larger, and active power loss is influenced smaller；Also, reactive-load compensation equipment is fully used, the safety and stability of electric system
Nargin is paid attention to, and provides strong guarantee for the safe and stable operation of electric system；The place difference of reactive power source is in model
It is implicit in reflected, while the operation conditions of generator is also improved.
Moreover, it can also be seen that idle work optimization side in application embodiment from the corresponding total cost of two methods in table 4
Method total cost is less than traditional idle work optimization method.
The above, above embodiments are only to illustrate the technical solution of the application, rather than its limitations；Although referring to before
Embodiment is stated the application is described in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of method of reactive power optimization of power system under electricity market background characterized by comprising
Obtain the system parameter of electric system；
It is determined according to the system parameter and preset Electricity Price information with active power loss and the minimum electricity of idle expense
The expression formula of Force system idle work optimization objective function；
The constraint condition of the power system stability operation is determined according to the system parameter；
Be iterated calculating according to preset optimization algorithm, and according to preset criterion to iterative calculation after each of it is idle
Prioritization scheme carries out the judgement of safety, then meets from safety and determines OPTIMAL REACTIVE POWER in all scheduling schemes of preset requirement
Prioritization scheme.
2. the method according to claim 1, wherein the optimization algorithm is particle swarm optimization algorithm or the calculation that leapfrogs
Method.
3. the method according to claim 1, wherein the criterion include N-1 principle and or N-2 principle.
4. the method according to claim 1, wherein further include:
All idle work optimization schemes for being unsatisfactory for preset requirement to safety optimize, and will be optimized after meet preset requirement
Idle work optimization scheme as planning operation counterplan.
5. according to the method described in claim 2, it is characterized in that, the optimization algorithm is the algorithm that leapfrogs；
Calculating is iterated according to preset optimization algorithm to specifically include:
Population Evolution is carried out to multiple idle work optimization schemes of initialization；
Using the reactive power optimization of power system objective function as fitness function, and each of calculate after Population Evolution idle excellent
The fitness value of change scheme；
The posterior part idle work optimization scheme of fitness value sequence is eliminated by preset ratio；
The maximum difference of fitness value in remaining all idle work optimization schemes is obtained, and judges the maximum difference and maximum adaptation
Whether the ratio of angle value is less than threshold value, if being less than, terminates to iterate to calculate, otherwise continues to execute above-mentioned steps.
6. the method according to claim 1, wherein the constraint condition includes trend equality constraint, PQ node
Range constraint that voltage security constrains, generator node is idle, the idle installing capacity-constrained of function compensation node, load tap changer
Change in location range constraint, the constraint of PV node voltage security, capacitor switching number restriction, depressor tap change frequency
Constraint.
7. the device of reactive power optimization of power system under a kind of electricity market background characterized by comprising
Parameter acquiring unit, for obtaining the system parameter of electric system；
Expression formula determination unit, for being determined according to the system parameter and preset Electricity Price information with active power loss
With the expression formula of the minimum reactive power optimization of power system objective function of idle expense；
Constraint condition determination unit, for determining the constraint condition of the power system stability operation according to the system parameter；
Optimize unit, for being iterated calculating according to preset optimization algorithm, and iterative calculation is tied according to preset criterion
Each idle work optimization scheme after beam carries out the judgement of safety, and all scheduling schemes of preset requirement are then met from safety
Middle determining OPTIMAL REACTIVE POWER prioritization scheme.
8. device according to claim 7, which is characterized in that the optimization unit specifically includes:
Population Evolution subelement, for carrying out Population Evolution to multiple idle work optimization schemes of initialization；
Fitness value calculation unit is used for using the reactive power optimization of power system objective function as fitness function, and calculates
The fitness value of each idle work optimization scheme after Population Evolution；
Screening unit, for eliminating the posterior part idle work optimization scheme of fitness value sequence by preset ratio；
End unit for obtaining the maximum difference of fitness value in remaining all idle work optimization schemes, and judges the maximum
Whether the ratio of difference and maximum adaptation angle value is less than threshold value, if being less than, terminates to iterate to calculate, otherwise continues to execute above-mentioned step
Suddenly.
9. a kind of equipment of reactive power optimization of power system, which is characterized in that the equipment includes processor and memory:
Said program code is transferred to the processor for storing program code by the memory；
The processor is used for according to the instruction execution electric system described in any one of claims 1-6 in said program code
Idle work optimization method.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium is for storing program generation
Code, said program code require the described in any item Method for Reactive Power Optimization in Power of 1-6 for perform claim.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111047346A (en) * | 2019-10-29 | 2020-04-21 | 国网浙江省电力有限公司舟山供电公司 | Local area collaborative reactive compensation service value making method |
| CN112701697A (en) * | 2021-01-25 | 2021-04-23 | 国网浙江省电力有限公司衢州供电公司 | Reactive power optimization method based on three-section reactive power auxiliary service market rule |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105932690A (en) * | 2016-05-19 | 2016-09-07 | 河海大学 | Distribution network operation optimization method integrating reactive power optimization and network reconstruction |
| CN107506854A (en) * | 2017-08-04 | 2017-12-22 | 国网浙江省电力公司经济技术研究院 | A kind of 220kV Power grid structure planing methods for considering differentiation scene |
| CN107579518A (en) * | 2017-09-15 | 2018-01-12 | 山东大学 | Power system environment economic load dispatching method and apparatus based on MHBA |
-
2018
- 2018-12-07 CN CN201811495720.4A patent/CN109449951A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105932690A (en) * | 2016-05-19 | 2016-09-07 | 河海大学 | Distribution network operation optimization method integrating reactive power optimization and network reconstruction |
| CN107506854A (en) * | 2017-08-04 | 2017-12-22 | 国网浙江省电力公司经济技术研究院 | A kind of 220kV Power grid structure planing methods for considering differentiation scene |
| CN107579518A (en) * | 2017-09-15 | 2018-01-12 | 山东大学 | Power system environment economic load dispatching method and apparatus based on MHBA |
Non-Patent Citations (3)
| Title |
|---|
| DIKSHA KAUR ETC: "An Optimal Reactive Power Dispatch (ORPD) for Voltage Security Using Particle Swarm Optimization (PSO) in Graph Theory", 《2016 IEEE INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY TECHNOLOGIES (ICSET)》 * |
| 张尤赛 等: "应用混合蛙跳算法的体绘制最佳视点选择", 《中国图像图形学报》 * |
| 聂宏展 等: "基于改进粒子群优化算法的电力市场下的无功优化", 《电网技术》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111047346A (en) * | 2019-10-29 | 2020-04-21 | 国网浙江省电力有限公司舟山供电公司 | Local area collaborative reactive compensation service value making method |
| CN112701697A (en) * | 2021-01-25 | 2021-04-23 | 国网浙江省电力有限公司衢州供电公司 | Reactive power optimization method based on three-section reactive power auxiliary service market rule |
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