CN106972513A - A kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element - Google Patents
A kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element Download PDFInfo
- Publication number
- CN106972513A CN106972513A CN201710363995.1A CN201710363995A CN106972513A CN 106972513 A CN106972513 A CN 106972513A CN 201710363995 A CN201710363995 A CN 201710363995A CN 106972513 A CN106972513 A CN 106972513A
- Authority
- CN
- China
- Prior art keywords
- phase
- individual
- delta
- sequence
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
-
- 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
-
- 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
-
- 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
- Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element, belongs to power quality controlling field in power system.In the case of net side system voltage is sinusoidal and symmetrical, the zero sequence of net side system, positive sequence and negative-sequence current after only being compensated with capacitive element are obtained according to symmetrical component method;Build the object function of genetic algorithm;Build the identical quantity of the population at individual number and Δ B with settinga,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBcaBinary number that directly proportional, 6 binary numbers are linked in sequence, new, is used as the individual in primary population;Individual adaptation degree is calculated, and calculates the hereditary probability of each individual;For the individual in primary population, the size of hereditary probability and object function in the next generation is inversely proportional;Obtain making in offspring individual one group of minimum individual of target function value in step 2, record and as the optimum individual in the present age;Compare every generation optimum individual, obtain the optimal value that capacitive element compensates branch road.The present invention provides solid theoretical foundation for practical engineering application.
Description
Technical field
The compensation method of capacitive element is only utilized the present invention relates to a kind of line uncompensated load of Three phase four, belongs to electric power
Power quality controlling field in system.
Background technology
With the development of Power Electronic Technique, high-power, Large Copacity, high degree of asymmetry load increasing, power system
Load unbalanced problem is increasingly serious.The uneven stable operation to power system of threephase load, the safety of electrical equipment, and
The quality of power supply causes very big negative effect.《Electricity Law of the People's Republic of China》" user power utilization must not for 32nd article of regulation
Harm power supply, Electrical Safety and upset power supply, electricity consumption order.To harm power supply, Electrical Safety and upset power supply, electricity consumption order
Power supply enterprise has the right to prevent ".Therefore, the capacitive element compensation method to three-phase and four-line uncompensated load is particularly important.
In current existing article, patent and practical engineering application, the compensation to uncompensated load is both needed to access perceptual nothing
Work(.As reactive-load compensation element, cost, power consumption and the volume of reactor are much larger than capacitor.
The content of the invention
Present invention aims at for only being compensated using capacitive element to the uncompensated load in three-phase three-wire system
Problem, proposes that a kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element, this method utilizes symmetrical point
Amount method derives zero sequence, positive sequence and negative sequence component, and constructs using negative-sequence current and reactive current as the object function of index, profit
With genetic algorithm, the load unbalanced capacitive element compensation method of three-phase and four-line is constructed, heavily fortified point is provided for practical engineering application
Real theoretical foundation.
Above-mentioned purpose is realized, the technical scheme that the present invention takes is as follows:
A kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element, comprises the following steps:
Step one:In the case of net side system voltage is sinusoidal and symmetrical, Ua=U, Ub=α2U, Uc=α U, α=e120°j,
Wherein:Ua,Ub,UcRespectively a phases, b phases and c phase voltages, U are phase voltage amplitude, and j is the imaginary part unit of plural number, and α is three-phase
The voltage anglec of rotation, e be unit vector, obtained according to symmetrical component method the zero sequence of net side system after only being compensated with capacitive element,
Positive sequence and negative-sequence current;
Step 2:The object function of genetic algorithm is built, object function is metIts
In:Obj is object function,Zero-sequence current real part respectively under three-phase four wire system, zero sequence
Electric current imaginary part, forward-order current imaginary part, negative-sequence current real part and negative-sequence current imaginary part;
Step 3:Using genetic algorithm, the numerical value of minimum capacity unit is built as base unit using in practical engineering application
Quantity identical with the population at individual number of setting, with Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBcaIt is directly proportional, six two
Binary number that system number is linked in sequence, new, is used as the individual in primary population;Wherein:ΔBa,ΔBb,ΔBcFor three
The susceptance value of mutually star-like compensation network, Δ Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
Step 4:Obtain after the individual in primary population, target letter is calculated using the objective function Equation in step 2
Numerical value, calculates individual adaptation degree, and calculate the hereditary probability of each individual;For the individual in primary population, in the next generation
Hereditary probability and the size of object function be inversely proportional;
Step 5:Simulation gene is carried out according to the hereditary probability of the individual of each in population to intersect, restructuring and mutation process,
Obtain making in offspring individual one group of minimum individual of target function value in step 2, record and as the optimum individual in the present age;
Step 6:Repeat step four, step 5 are at least 500 times, relatively per generation optimum individual, obtain whole hereditary mistake
Optimum individual in journey, it is reversed according to step 3 and is changed to Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBca, that is, obtain capacitive
Element compensates the optimal value of branch road;Wherein:ΔBa,ΔBb,ΔBcFor the susceptance value of the star-like compensation network of three-phase, Δ Bab,ΔBbc,
ΔBcaThe susceptance value of network is compensated for three-phase angle-style.
The present invention is relative to the beneficial effect of prior art:
1st, the present invention be directed to three-phase four wire system in uncompensated load phenomenon, and in practical engineering application inductive element into
There is provided a kind of capacitive for being widely portable to three-phase four wire system member based on genetic algorithm for the problem of this is high and difficult in maintenance
Part compensation method.Real part and void of the invention by calculating the forward-order current in three-phase system, negative-sequence current and zero-sequence current
Portion, so as to construct the object function on negative-sequence current and reactive current, using genetic algorithm and then propose can be according to work
Capacitive element minimum unit carries out the compensation method of the three-phase and four-line uncompensated load of optimal correction in Cheng Yingyong.
2nd, the line uncompensated load of a kind of Three phase four proposed by the present invention only utilizes the compensation method of capacitive element, utilizes
Symmetrical component method derives zero sequence, positive sequence and negative sequence component, and constructs using negative-sequence current and reactive current as the target of index
Function, using genetic algorithm, constructs the load unbalanced capacitive element compensation method of three-phase and four-line, is that practical engineering application is carried
Solid theoretical foundation has been supplied, the vacancy of the capacitive element compensation method of three-phase and four-line uncompensated load has been filled up.
Brief description of the drawings
Fig. 1 is the compensation Principles of Network figure of three-phase and four-line uncompensated load.
Technical scheme is further described below in conjunction with the accompanying drawings, but is not limited thereto, it is every to this
Inventive technique scheme is modified or equivalent substitution, without departing from the spirit and scope of technical solution of the present invention, all should be covered
In protection scope of the present invention.
Embodiment
Embodiment one:As shown in figure 1, present embodiment discloses a kind of line uncompensated load of Three phase four only
Using the compensation method of capacitive element, comprise the following steps:
Step one:In the case of net side system voltage is sinusoidal and symmetrical, Ua=U, Ub=α2U, Uc=α U, α=e120°j,
Wherein:Ua,Ub,UcRespectively a phases, b phases and c phase voltages, U are phase voltage amplitude, and j is the imaginary part unit of plural number, and α is three-phase
The voltage anglec of rotation, e be unit vector, obtained according to symmetrical component method the zero sequence of net side system after only being compensated with capacitive element,
Positive sequence and negative-sequence current;
Step 2:The object function of genetic algorithm is built, object function is metIts
In:Obj is object function,Zero-sequence current real part respectively under three-phase four wire system, zero sequence electricity
Flow imaginary part, forward-order current imaginary part, negative-sequence current real part and negative-sequence current imaginary part;
Step 3:Using genetic algorithm, the numerical value of minimum capacity unit is built as base unit using in practical engineering application
Quantity identical with the population at individual number of setting, with Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBcaIt is directly proportional, six two
Binary number that system number is linked in sequence, new, is used as the individual in primary population;Wherein:ΔBa,ΔBb,ΔBcFor three
The susceptance value of mutually star-like compensation network, Δ Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
Step 4:Obtain after the individual in primary population, target letter is calculated using the objective function Equation in step 2
Numerical value, calculates individual adaptation degree, and calculate the hereditary probability of each individual;For the individual in primary population, in the next generation
Hereditary probability and the size of object function be inversely proportional;
Step 5:Simulation gene is carried out according to the hereditary probability of the individual of each in population to intersect, restructuring and mutation process,
Obtain making in offspring individual one group of minimum individual of target function value in step 2, record and as the optimum individual in the present age;
Step 6:Repeat step four, step 5 are at least 500 times, relatively per generation optimum individual, obtain whole hereditary mistake
Optimum individual in journey, it is reversed according to step 3 and is changed to Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBca, that is, obtain capacitive
Element compensates the optimal value of branch road;Wherein:ΔBa,ΔBb,ΔBcFor the susceptance value of the star-like compensation network of three-phase, Δ Bab,ΔBbc,
ΔBcaThe susceptance value of network is compensated for three-phase angle-style.
Embodiment two:Present embodiment is to further illustrating that embodiment one is made, in step one
Described zero sequence, positive sequence and negative-sequence current parameter be:
Zero sequence, positive sequence and negative-sequence current parameter described in step one are:
Wherein:U is phase voltage amplitude,Respectively zero sequence, positive sequence and negative-sequence current, Ga,Gb,GcFor three-phase star
The conductance of type load, Ba,Bb,BcFor the susceptance of the star-like load of three-phase, Δ Ba,ΔBb,ΔBcFor the electricity of the star-like compensation network of three-phase
Receive value, Δ Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style, j is plural imaginary part unit.
Embodiment three:Present embodiment is further illustrating of being made to embodiment one or two, is utilized
Genetic algorithm is optimized to the object function obj in step 2.
Embodiment four:Present embodiment is to further illustrating that embodiment one is made, in step 3
Described primary population at individual need to meet following condition:
1) each individual is continuous 6 binary numbers in population, and Δ B is represented respectivelya,ΔBb,ΔBc,ΔBab,ΔBbc,
ΔBcaOne group of new binary system of composition is connected, wherein;ΔBa,ΔBb,ΔBcFor the susceptance value of the star-like compensation network of three-phase, Δ
Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
2) value of the capacitor bank that the scope of the value of each of three binary numbers and three-phase four wire system possess
Scope, i.e. 0 < Δ B < BmaxIt is corresponding, wherein:Δ B is any one susceptance value, B in compensation networkmaxFor practical engineering application
The maximum susceptance value that any one phase of middle compensation network can be compensated;
3) least unit of binary number, i.e., 1 are corresponding with the minimum unit value of three-phase four wire system capacitor bank.
Embodiment five:Present embodiment is to further illustrating that embodiment one is made, in step 4
The fitness of described primary population at individual is defined as:Wherein:Fit is fitness, and obj is the target in step 2
Function.
Embodiment 1:
As shown in figure 1, only utilizing the benefit of capacitive element this embodiment discloses herein a kind of line uncompensated load of Three phase four
Compensation method, comprises the following steps:
Step one:Net side system voltage is U in the case of sinusoidal and symmetricala=U, Ub=α2U, Uc=α U, α=e120°j, meter
Calculate zero sequence, positive sequence and the negative-sequence current of system after only being compensated with capacitive element:
Wherein:Ua,Ub,UcRespectively a phases, b phases and c phase voltages, U are phase voltage amplitude, and j is the imaginary part unit of plural number, α
For the three-phase voltage anglec of rotation, e is unit vector,Respectively zero sequence, positive sequence and negative-sequence current, Ga,Gb,GcFor three-phase
The conductance of star-like load, Ba,Bb,BcFor the susceptance of the star-like load of three-phase, Δ Ba,ΔBb,ΔBcFor the star-like compensation network of three-phase
Susceptance value, Δ Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
Step 2:The object function of genetic algorithm is built, for three-phase four wire system, object function is metWherein:Obj is object function,
Zero-sequence current real part respectively under three-phase four wire system, zero-sequence current imaginary part, forward-order current imaginary part, negative-sequence current real part and
Negative-sequence current imaginary part;
Step 3:Build individual need in primary population, population and meet following condition:
1) each individual (represents Δ B respectively for continuous 6 binary numbers in populationa,ΔBb,ΔBc,ΔBab,ΔBbc,
ΔBca) the one group of new binary number constituted is connected, wherein:ΔBa,ΔBb,ΔBcFor three-phase it is star-like compensation network susceptance value,
ΔBab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
2) 6 binary numbers, the model of the value for the capacitor bank that the scope of the value of each possesses with three-phase four wire system
Enclose (i.e. 0 < Δ B < Bmax) corresponding;Wherein:Any one susceptance value, B in Δ B compensation networksmaxFor in practical engineering application
The maximum susceptance value that any one phase of compensation network can be compensated;
3) least unit (i.e. 1) of binary number is corresponding with the minimum unit value of three-phase four wire system capacitor bank;
Step 4:Formula in step one and step 2 obtains the fitness of each individual in contemporary population, fits
Response is defined asAnd find out the individual value guarantor by this binary sequence and its fitness of fitness highest in the present age
Deposit;Wherein:Fit is fitness, and obj is the object function in step 2;
Step 5:According to the hereditary probability of fitness value distribution of each individual of contemporary population, hereditary probability needs to meet:
1) hereditary probability is directly proportional to fitness function;
2) all individual hereditary probability sums add up to 1 in contemporary population;
Step 6:Two individuals are taken out according to each individual hereditary probability at random, in two individual binary system number sequences
It is random in row to look for a same position cut-out, half section of left and right is respectively taken, new binary number sequence is constituted;With millesimal probability
Its value is negated (0, which becomes 1,1, becomes 0) in a random site of new binary sequence;With the base of this two process mimic biologies
Because of restructuring, mutation process, a new individual is constituted, the population at individual number identical for constituting and setting in the same way
Body, is used as population of new generation;
Step 7:To population at individual repeat step four-step 6 step of a new generation, obtain every after circulating at least 500 times
The data of the fitness highest individual of a generation;The fitness of successive dynasties fitness highest individual is compared, fitness is found out
The binary sequence of highest individual, it, which is translated binary sequence number according to the mode that individual is built in step 3, turns into Δ
Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBca, resulting Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBcaAs three-phase and four-line
System needs to access the susceptance value of the capacitor of each compensation branch road;Wherein:ΔBa,ΔBb,ΔBcFor the star-like compensation network of three-phase
Susceptance value, Δ Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style.
Claims (5)
1. a kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element, it is characterised in that including following
Step:
Step one:In the case of net side system voltage is sinusoidal and symmetrical, Ua=U, Ub=α2U, Uc=α U, α=e120°j, wherein:
Ua,Ub,UcRespectively a phases, b phases and c phase voltages, U are phase voltage amplitude, and j is the imaginary part unit of plural number, and α is three-phase voltage rotation
Angle, e is unit vector, and the zero sequence of net side system after only being compensated with capacitive element, positive sequence are obtained according to symmetrical component method and is born
Sequence electric current;
Step 2:The object function of genetic algorithm is built, object function is metIts
In:Obj is object function,Zero-sequence current real part respectively under three-phase four wire system, zero sequence electricity
Flow imaginary part, forward-order current imaginary part, negative-sequence current real part and negative-sequence current imaginary part;
Step 3:Using genetic algorithm, the numerical value of minimum capacity unit builds and set as base unit using in practical engineering application
The fixed identical quantity of population at individual number and Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBcaDirectly proportional, six binary systems
Binary number that number is linked in sequence, new, is used as the individual in primary population;Wherein:ΔBa,ΔBb,ΔBcFor three-phase star
Type compensates the susceptance value of network, Δ Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
Step 4:Obtain in primary population individual after, using the objective function Equation calculating target function value in step 2,
Individual adaptation degree is calculated, and calculates the hereditary probability of each individual;For the individual in primary population, the heredity in the next generation
The size of probability and object function is inversely proportional;
Step 5:Simulation gene is carried out according to the hereditary probability of the individual of each in population to intersect, restructuring and mutation process are obtained
Make one group of minimum individual of target function value in step 2 in offspring individual, record and as the optimum individual in the present age;
Step 6:Repeat step four, step 5, relatively per generation optimum individual, are obtained in whole genetic process at least 500 times
Optimum individual, by its according to step 3 reverse be changed to Δ Ba,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBca, that is, obtain capacitive element
Compensate the optimal value of branch road;Wherein:ΔBa,ΔBb,ΔBcFor the susceptance value of the star-like compensation network of three-phase, Δ Bab,ΔBbc,ΔBca
The susceptance value of network is compensated for three-phase angle-style.
2. the line uncompensated load of a kind of Three phase four according to claim 1 only utilizes the compensation method of capacitive element,
It is characterized in that:Zero sequence, positive sequence and negative-sequence current parameter described in step one are:
Wherein:U is phase voltage amplitude,Respectively zero sequence, positive sequence and negative-sequence current, Ga,Gb,GcFor the star-like load of three-phase
Conductance, Ba,Bb,BcFor the susceptance of the star-like load of three-phase, Δ Ba,ΔBb,ΔBcFor the susceptance value of the star-like compensation network of three-phase, Δ
Bab,ΔBbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style, j is plural imaginary part unit.
3. the line uncompensated load of a kind of Three phase four according to claim 1 or 2 only utilizes the compensation side of capacitive element
Method, it is characterised in that:The object function in step 2 is optimized using genetic algorithm.
4. the line uncompensated load of a kind of Three phase four according to claim 1 only utilizes the compensation method of capacitive element,
It is characterized in that:Primary population at individual described in step 3 need to meet following condition:
1) each individual is continuous 6 binary numbers in population, and Δ B is represented respectivelya,ΔBb,ΔBc,ΔBab,ΔBbc,ΔBca
One group of new binary system of composition is connected, wherein;ΔBa,ΔBb,ΔBcFor the susceptance value of the star-like compensation network of three-phase, Δ Bab,Δ
Bbc,ΔBcaThe susceptance value of network is compensated for three-phase angle-style;
2) scope of the value for the capacitor bank that the scope of the value of each of three binary numbers possesses with three-phase four wire system,
That is 0 < Δ B < BmaxIt is corresponding, wherein:Δ B is any one susceptance value, B in compensation networkmaxTo be mended in practical engineering application
Repay the maximum susceptance value that any one phase of network can be compensated;
3) least unit of binary number, i.e., 1 are corresponding with the minimum unit value of three-phase four wire system capacitor bank.
5. the line uncompensated load of a kind of Three phase four according to claim 1 only utilizes the compensation method of capacitive element,
It is characterized in that:The fitness of primary population at individual described in step 4 is defined as:Wherein:Fit is fitness,
Obj is the object function in step 2.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710363995.1A CN106972513B (en) | 2017-05-22 | 2017-05-22 | A kind of three-phase and four-line uncompensated load only utilizes the compensation method of capacitive element |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710363995.1A CN106972513B (en) | 2017-05-22 | 2017-05-22 | A kind of three-phase and four-line uncompensated load only utilizes the compensation method of capacitive element |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106972513A true CN106972513A (en) | 2017-07-21 |
CN106972513B CN106972513B (en) | 2019-04-26 |
Family
ID=59327081
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710363995.1A Active CN106972513B (en) | 2017-05-22 | 2017-05-22 | A kind of three-phase and four-line uncompensated load only utilizes the compensation method of capacitive element |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106972513B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108490309A (en) * | 2018-02-12 | 2018-09-04 | 中国电力科学研究院有限公司 | The fault current iterative analysis method and device of the net of electrical power distribution containing inverter style |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106655226A (en) * | 2016-11-18 | 2017-05-10 | 天津大学 | Active power distribution network asymmetric operation optimization method based on intelligent soft open point |
-
2017
- 2017-05-22 CN CN201710363995.1A patent/CN106972513B/en active Active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106655226A (en) * | 2016-11-18 | 2017-05-10 | 天津大学 | Active power distribution network asymmetric operation optimization method based on intelligent soft open point |
Non-Patent Citations (2)
Title |
---|
JORGE LUIS CABRERA CHIRRE等: "Use of hybrid genetic algorithms for optimal reactive compensation design on large and unbalanced distribution networks", 《2014 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXPOSITION - LATIN AMERICA》 * |
房俊龙等: "农村电网不对称负荷补偿方法研究", 《东北农业大学学报》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108490309A (en) * | 2018-02-12 | 2018-09-04 | 中国电力科学研究院有限公司 | The fault current iterative analysis method and device of the net of electrical power distribution containing inverter style |
Also Published As
Publication number | Publication date |
---|---|
CN106972513B (en) | 2019-04-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Devaraj et al. | Genetic algorithm based reactive power dispatch for voltage stability improvement | |
Moradi et al. | An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm | |
CN105321003B (en) | A kind of ac and dc systems multiple target tide optimization method containing VSC-HVDC | |
Amjady et al. | Security constrained optimal power flow considering detailed generator model by a new robust differential evolution algorithm | |
Kim et al. | Multiobjective distributed generation placement using fuzzy goal programming with genetic algorithm | |
Park et al. | Optimal capacitor allocation in a distribution system considering operation costs | |
Roselyn et al. | Multi-Objective Genetic Algorithm for voltage stability enhancement using rescheduling and FACTS devices | |
Reddy et al. | 2Index and GA based optimal location and sizing of distribution system capacitors | |
Abdelhady et al. | A real-time optimization of reactive power for an intelligent system using genetic algorithm | |
CN107134799A (en) | A kind of extra-high voltage grid transverter reactive configuration method based on short-circuit ratio | |
Kim et al. | Voltage profile improvement by capacitor placement and control in unbalanced distribution systems using GA | |
CN109149564A (en) | A kind of alternating current-direct current mixing power distribution network distributed generation resource Optimal Configuration Method | |
CN111446727A (en) | Low-voltage transformer area three-phase imbalance treatment method based on economic indexes | |
Gaing et al. | Security-constrained optimal power flow by mixed-integer genetic algorithm with arithmetic operators | |
CN115640963A (en) | Offshore wind power access system robust planning method considering investment operation mode | |
CN107565556A (en) | A kind of power distribution network net capability computational methods for considering three-phase imbalance factor | |
CN106953343A (en) | A kind of line uncompensated load of Three phase three only utilizes the compensation method of capacitive element | |
CN103887823A (en) | Micro-grid connection position selection method based on fuzzy hierarchical analysis | |
Momoh et al. | Optimal location of FACTS for ATC enhancement | |
CN106972513A (en) | A kind of line uncompensated load of Three phase four only utilizes the compensation method of capacitive element | |
Mahmoodianfard et al. | Optimal capacitor placement for loss reduction | |
CN105449672A (en) | Method for estimating total supply capability of 220KV loop ring network | |
Li et al. | The hybrid differential evolution algorithm for optimal power flow based on simulated annealing and tabu search | |
Dehkordi et al. | Optimal capacitor placement and sizing in TABRIZ distribution system using loss sensitivity factors and particle swarm optimization (PSO) | |
CN107425519A (en) | Three-phase distribution net net capability computational methods containing distributed power source |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |