CN107508283A - A kind of distributed power source operation domain method for solving based on affine arithmetic - Google Patents

A kind of distributed power source operation domain method for solving based on affine arithmetic Download PDF

Info

Publication number
CN107508283A
CN107508283A CN201710692880.7A CN201710692880A CN107508283A CN 107508283 A CN107508283 A CN 107508283A CN 201710692880 A CN201710692880 A CN 201710692880A CN 107508283 A CN107508283 A CN 107508283A
Authority
CN
China
Prior art keywords
mrow
msubsup
phi
power source
distributed power
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.)
Pending
Application number
CN201710692880.7A
Other languages
Chinese (zh)
Inventor
吴在军
胡靖宜
李培帅
王洋
窦晓波
胡敏强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN201710692880.7A priority Critical patent/CN107508283A/en
Publication of CN107508283A publication Critical patent/CN107508283A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/26Arrangements for eliminating or reducing asymmetry in polyphase networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50Arrangements for eliminating or reducing asymmetry in polyphase networks

Abstract

The invention discloses a kind of distributed power source based on affine arithmetic to run domain method for solving, suitable for three-phase imbalance power distribution network, for calculating the set for the DG operating points for meeting safe operation constraints.Linear approximation expression formula of the node voltage on DG uncertain variables is asked for first with the Load flow calculation based on affine arithmetic, then the constraintss such as the safe range of feeder line capacity, reversal tidal current and voltage expression are considered, the Optimization Solution model in the distributed power source operation domain of three-phase imbalance power distribution network is built, then asks for the operation domain border of DG in power distribution network.The present invention is the solution based on Optimized model, with higher solving precision, computational efficiency can be greatly improved, applicability is wide, its linear constraints applies also for other optimization operation, control fields of power distribution network, to solve problem caused by more high Uncertainty distribution formula plant-grid connections.

Description

A kind of distributed power source operation domain method for solving based on affine arithmetic
Technical field
The invention belongs to distribution network operation control technology field, more particularly to a kind of distributed power source based on affine arithmetic Run domain method for solving.
Background technology
Power distribution network security domain is defined as the collection for the operating point that power distribution network makes all main transformers be satisfied by N-1 criterions in operation Close, at present, the security domain research of distributed power source (Distributed Generation, DG) access is still at an early stage, The a certain DG output upper limit can only be calculated, the boundary information in whole domain can not be obtained.
Run that the concept in domain is with the Research Significance of power distribution network security domain close, refer both to meter and trend it is safe can Operational Zone Domain, it is contemplated that power distribution network is mostly radial distribution networks, does not possess the load transfer ability after N-1, therefore generate guarantee power distribution network The concept in the DG operations domain of N-0 safety.
The method for solving operation domain at present belongs to heuristic, i.e., the position of a given distributed power source and capacity, calculates Voltage's distribiuting and system short-circuit electric current under various load levels, gradually increase DG and contribute, above-mentioned calculating is repeated, until distribution Untill formula power supply capacity can not be further added by, such a method computational efficiency is low and is dfficult to apply in Optimized model as constraint bar Part.
The content of the invention
Goal of the invention:For problem above, the present invention proposes that a kind of distributed power source operation domain based on affine arithmetic is asked Solution method, applied to three-phase imbalance power distribution network, this method can obtain multiple DG and completely run domain, with traditional heuristic phase Than this method belongs to optimized algorithm, has computational efficiency high, applicability is wide, can be applied to the advantage of Optimized model.
Technical scheme:To realize the purpose of the present invention, the technical solution adopted in the present invention is:A kind of distributed power source fortune Row domain method for solving, specifically includes following steps:
(1) n-1 output variable of distributed power source operating point is directed to since minimum value, with a fixed step size value;It is right Another distributed power source operating point, output scope are represented with affine number;
(2) linear approximation power flow algorithm, the affine expression formula of solution node voltage are utilized;
(3) the most value of calculate node voltage magnitude, compared with safe voltage bound, enters if Rule of judgment is met Row step (4), it is unsatisfactory for Rule of judgment then return to step (1);
(4) Optimized model in operation domain is established;
(5) solving-optimizing model, show that a series of power are most worth, be fitted to DG operation domain border.
Beneficial effect:The inventive method is applied to three-phase imbalance power distribution network, is eliminated by linear approximation and is removed by affine The interval extension problem that method computing is brought, to accurately calculate quantifying between each node voltage and each distributed power source output Relation, power distribution network is can obtain further according to constraintss such as DG output scope, node voltage amplitude, feeder line capacity and reversal tidal currents In multiple related DG completely run domain.
The inventive method belongs to optimized algorithm, and compared with the heuristic of traditional point-by-point formula, its computational efficiency is far above exploration Method;The inventive method is established based on Optimized model, and its linear constraints can not only apply the calculating in operation domain, can also apply It is wide in other Optimized models, applicability.
Brief description of the drawings
Fig. 1 is that method of the present invention solves flow chart;
Fig. 2 is circular arc approximation method schematic diagram.
Embodiment
Technical scheme is further described with reference to the accompanying drawings and examples.
It is that method of the present invention solves flow chart as shown in Figure 1, specifically includes following steps:
Step (1):In the range of DG outputs, to n-1 variable of n DG operating point since minimum load value, with one Fixed step size takes a series of values, and another DG operating point is represented output scope with affine number.
The Conservative Property that can effectively solve to bring in section using affine arithmetic.If i-nodeIt is connected and is distributed formula electricity Source, its active power output are:
In formula,For the lower limit of distributed power source active power output;For the upper limit of distributed power source active power output.
It need to meet to constrain as follows for any distributed power supply its active reactive output:
p2+q2≤S2
Being translated into affine form is:
In formula,
Step (2):The affine expression formula of solution node voltage in linear approximation power flow algorithm is updated to, ignores higher order term, will Constant term and first-order perturbation amount separately solve, and both sums are linear representation of the node voltage on DG output undulate quantities.
The injecting power of all nodes of whole power distribution network is represented by fixed component and disturbance component two parts sum Form:
Wherein,
For any electric power networks, the relation of its node Injection Current and node voltage is as follows:
Wherein, S numbers for slack bus;N is other node sets in addition to slack bus.
By Taylors approximation, current vector can be expressed as form:
Two formulas are merged into cancellation electric current item to obtain:
Wherein,
By constant term, first-order perturbation amount and High-order perturbations amount separate computations, ignore High-order perturbations and measure:
The constant term of voltage is added with first-order perturbation amount, can obtain the linear affine expression formula of node voltage:
In formula,The respectively real and imaginary parts of expression formula.
Step (3):The most value of the linear representation calculate node voltage magnitude obtained by step (2), with safe voltage Bound is compared, if the minimum value of all node upper limits is more than safe voltage lower limit and the maximum of lower limit is less than safety electricity The upper limit is pressed, then carries out step (4), otherwise return to step (1) increases a step-length and continues to calculate.
Step (4):If judgement meets condition, the Optimized model in operation domain is established, the maximum contributed with DG/small value is mesh Scalar functions, its constraints include DG units limits, variation constraint, system load flow equality constraint, feeder line capacity-constrained, instead To trend constraint.
Wherein first three items constraints can be by the amplitude for the voltage linear expression formula tried to achieve in step (1) in safe range Replace, be shown below:
The inequality constraints is nonlinear restriction, therefore is linearized using circular arc approximation method and Sensitivity Method.Transport first Its upper limit is linearized with circular arc approximation method, as shown in Fig. 2 being expressed as with inequality:
For bound constrained under voltage, linear approximation is carried out by the method for sensitivity, expression formula is as follows:
In formula,Respectively on active and idle sensitivity matrix.
Thus full linear Optimized model is obtained:
minS2 or min(-S2)
In formula, L is feeder line actual capacity;LmaxFor feeder line rated capacity;L1For feeder line exit actual capacity, the formula table Show that feeder line outlet trend is not reverse.
Step (5):Optimized model in solution procedure (4), a series of power drawn are utilized most to be worth, you can be fitted to DG operation domain border.
Node voltage is expressed as linear representation on distributed power source undulate quantity by the present invention based on affine arithmetic, then Established according to constraintss such as DG output scope, node voltage amplitude, feeder line capacity and reversal tidal currents and contributed most with DG Greatly/small Optimized model for target, multiple DG in power distribution network can obtain by the method for this Optimization Solution and completely run domain, And solve the problems, such as that the low hardly possible of existing method computational efficiency is applied to Optimized model.

Claims (7)

1. a kind of distributed power source runs domain method for solving, it is characterised in that:Specifically include following steps:
(1) n-1 output variable of distributed power source operating point is directed to since minimum value, with a fixed step size value;
(2) linear approximation power flow algorithm, the affine expression formula of solution node voltage are utilized;
(3) the most value of calculate node voltage magnitude, compared with safe voltage bound, is walked if Rule of judgment is met Suddenly (4), it is unsatisfactory for Rule of judgment then return to step (1);
(4) Optimized model in operation domain is established;
(5) solving-optimizing model, show that a series of power are most worth, be fitted to DG operation domain border.
2. distributed power source according to claim 1 runs domain method for solving, it is characterised in that:It is right in the step (1) Another distributed power source operating point, output scope are represented with affine number.
3. distributed power source according to claim 2 runs domain method for solving, it is characterised in that:In the step (1), point Cloth power supply contribute affine form be:
Wherein,
Wherein,For the lower limit of distributed power source active power output;For the upper limit of distributed power source active power output;For The rated capacity of distributed power source.
4. distributed power source according to claim 1 runs domain method for solving, it is characterised in that:In the step (2), lead to The Taylors approximation that trend derived and ignored high-order amount is crossed, the affine expression formula of voltage is calculated by below equation:
<mrow> <msubsup> <mi>S</mi> <mi>N</mi> <mi>&amp;Phi;</mi> </msubsup> <mo>=</mo> <msubsup> <mi>S</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>+</mo> <msubsup> <mi>&amp;Delta;S</mi> <mi>N</mi> <mi>&amp;Phi;</mi> </msubsup> </mrow>
<mrow> <msubsup> <mi>Y</mi> <mrow> <mi>N</mi> <mi>N</mi> </mrow> <mrow> <mi>&amp;Phi;</mi> <mi>&amp;Phi;</mi> </mrow> </msubsup> <msubsup> <mi>V</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>=</mo> <mo>-</mo> <msubsup> <mi>Y</mi> <mrow> <mi>N</mi> <mi>S</mi> </mrow> <mrow> <mi>&amp;Phi;</mi> <mi>&amp;Phi;</mi> </mrow> </msubsup> <msubsup> <mi>V</mi> <mi>S</mi> <mi>&amp;Phi;</mi> </msubsup> <mo>+</mo> <msup> <mrow> <mo>(</mo> <msubsup> <mi>S</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>.</mo> <mo>/</mo> <msubsup> <mi>V</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>)</mo> </mrow> <mo>*</mo> </msup> </mrow>
<mrow> <msubsup> <mi>Y</mi> <mrow> <mi>N</mi> <mi>N</mi> </mrow> <mrow> <mi>&amp;Phi;</mi> <mi>&amp;Phi;</mi> </mrow> </msubsup> <msubsup> <mi>&amp;Delta;V</mi> <mrow> <mi>N</mi> <mn>1</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>+</mo> <mi>d</mi> <mi>i</mi> <mi>a</mi> <mi>g</mi> <mo>&amp;lsqb;</mo> <msup> <mrow> <mo>(</mo> <msubsup> <mi>S</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>.</mo> <mo>/</mo> <mo>(</mo> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>.</mo> <mo>&amp;times;</mo> <msubsup> <mi>V</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>*</mo> </msup> <mo>&amp;rsqb;</mo> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;Delta;V</mi> <mrow> <mi>N</mi> <mn>1</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>)</mo> </mrow> <mo>*</mo> </msup> <mo>=</mo> <msup> <mrow> <mo>(</mo> <msubsup> <mi>&amp;Delta;S</mi> <mi>N</mi> <mi>&amp;Phi;</mi> </msubsup> <mo>.</mo> <mo>/</mo> <msubsup> <mi>V</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>)</mo> </mrow> <mo>*</mo> </msup> </mrow>
<mrow> <msubsup> <mi>V</mi> <mi>N</mi> <mi>&amp;Phi;</mi> </msubsup> <mo>=</mo> <msubsup> <mi>V</mi> <mrow> <mi>N</mi> <mo>,</mo> <mn>0</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> <mo>+</mo> <msubsup> <mi>&amp;Delta;V</mi> <mrow> <mi>N</mi> <mn>1</mn> </mrow> <mi>&amp;Phi;</mi> </msubsup> </mrow>
Wherein,Certainty flow solution;For node voltage first-order perturbation amount;S represents slack bus numbering;N is represented except pine Other outer node sets of relaxation node;
The affine expression formula of voltage is:
Wherein,The respectively real and imaginary parts of expression formula.
5. distributed power source according to claim 1 runs domain method for solving, it is characterised in that:In the step (3), sentence Other condition is:If the minimum value of all node upper limits is more than safe voltage lower limit, and the maximum of lower limit is less than in safe voltage Limit, then step (4) is carried out, otherwise return to step (1) increases a step-length and continues to calculate.
6. distributed power source according to claim 1 runs domain method for solving, it is characterised in that:In the step (4), electricity The amplitude of pressure linear representation meets inequality constraints, the inequality constraints be it is non-linear, will thereon with circular arc approximation method Linear approximation is limited, with the method for sensitivity by its lower limit linear approximation, obtains full linear Optimized model.
7. distributed power source according to claim 6 runs domain method for solving, it is characterised in that:The inequality constraints bar Part includes DG units limits, variation constraint, system load flow equality constraint, feeder line capacity-constrained and reversal tidal current constraint.
CN201710692880.7A 2017-08-14 2017-08-14 A kind of distributed power source operation domain method for solving based on affine arithmetic Pending CN107508283A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710692880.7A CN107508283A (en) 2017-08-14 2017-08-14 A kind of distributed power source operation domain method for solving based on affine arithmetic

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710692880.7A CN107508283A (en) 2017-08-14 2017-08-14 A kind of distributed power source operation domain method for solving based on affine arithmetic

Publications (1)

Publication Number Publication Date
CN107508283A true CN107508283A (en) 2017-12-22

Family

ID=60691635

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710692880.7A Pending CN107508283A (en) 2017-08-14 2017-08-14 A kind of distributed power source operation domain method for solving based on affine arithmetic

Country Status (1)

Country Link
CN (1) CN107508283A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109586300A (en) * 2018-12-21 2019-04-05 深圳供电局有限公司 A kind of method and system obtaining trend variable change section in wind-powered electricity generation tide model
CN112653174A (en) * 2020-12-22 2021-04-13 天津大学 Operation domain solving method for flexible direct current power distribution network
CN113809749A (en) * 2021-08-31 2021-12-17 西安理工大学 Virtual impedance-based particle swarm optimization method for MG (generator) containing droop control DG (distributed generator)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105633948A (en) * 2015-12-09 2016-06-01 长沙理工大学 Random fuzzy power flow algorithm for distributed wind power, photovoltaic power generation and other uncertain energy sources connected to power system
CN106712031A (en) * 2017-02-10 2017-05-24 东南大学 Sequence-robustness optimizing dispatching system and dispatching method of active power distribution network considering uncertainty
CN106777586A (en) * 2016-11-29 2017-05-31 天津大学 A kind of operation domain method for solving for calculating Distributed Generation in Distribution System and microgrid
CN106849162A (en) * 2017-02-10 2017-06-13 东南大学 Consider the grid-connected active distribution network ADAPTIVE ROBUST optimization method of a large amount of regenerative resources

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105633948A (en) * 2015-12-09 2016-06-01 长沙理工大学 Random fuzzy power flow algorithm for distributed wind power, photovoltaic power generation and other uncertain energy sources connected to power system
CN106777586A (en) * 2016-11-29 2017-05-31 天津大学 A kind of operation domain method for solving for calculating Distributed Generation in Distribution System and microgrid
CN106712031A (en) * 2017-02-10 2017-05-24 东南大学 Sequence-robustness optimizing dispatching system and dispatching method of active power distribution network considering uncertainty
CN106849162A (en) * 2017-02-10 2017-06-13 东南大学 Consider the grid-connected active distribution network ADAPTIVE ROBUST optimization method of a large amount of regenerative resources

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王博 等: "《主动配电网中分布式电源和微网的运行域》", 《电网技术》 *
王洋: "主动配电网优化运行策略研究", 《中国优秀硕士学位论文全文数据库(电子期刊)》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109586300A (en) * 2018-12-21 2019-04-05 深圳供电局有限公司 A kind of method and system obtaining trend variable change section in wind-powered electricity generation tide model
CN112653174A (en) * 2020-12-22 2021-04-13 天津大学 Operation domain solving method for flexible direct current power distribution network
CN112653174B (en) * 2020-12-22 2022-11-25 天津大学 Operation domain solving method for flexible direct current power distribution network
CN113809749A (en) * 2021-08-31 2021-12-17 西安理工大学 Virtual impedance-based particle swarm optimization method for MG (generator) containing droop control DG (distributed generator)
CN113809749B (en) * 2021-08-31 2024-01-23 西安理工大学 Method for optimizing particle swarm of MG based on virtual impedance and comprising droop control DG

Similar Documents

Publication Publication Date Title
CN105449713B (en) Consider the intelligent Sofe Switch planing method of active power distribution network of distributed power source characteristic
Dheeban et al. ANFIS-based power quality improvement by photovoltaic integrated UPQC at distribution system
Leung et al. Optimal power flow with a versatile FACTS controller by genetic algorithm approach
Sun et al. Approach for optimal power flow with transient stability constraints
Taher et al. Optimal placement of UPFC in power systems using immune algorithm
Kazemtabrizi et al. An advanced STATCOM model for optimal power flows using Newton's method
Sedighizadeh et al. Hybrid approach to FACTS devices allocation using multi-objective function with NSPSO and NSGA-II algorithms in Fuzzy framework
Ebeed et al. Determination of IPFC operating constraints in power flow analysis
CN104993525B (en) A kind of active distribution network coordinating and optimizing control method of meter and ZIP loads
CN107508283A (en) A kind of distributed power source operation domain method for solving based on affine arithmetic
CN106712067A (en) Method for determining stability of small interference of direct-current power grid
CN110829506B (en) Multi-objective active power optimization scheduling method and system based on linear relaxation and proportional weight
Chansareewittaya et al. Optimal allocation of multi-type FACTS controllers for total transfer capability enhancement using hybrid particle swarm optimization
CN107039981A (en) One kind intends direct current linearisation probability optimal load flow computational methods
Das et al. Industrial power quality enhancement using fuzzy logic based photovoltaic integrated with three phase shunt hybrid active filter and adaptive controller
Abubakar et al. An improved analytical method for optimal sizing and placement of power electronic based distributed generation considering harmonic limits
CN104979840B (en) A kind of active distribution network three-phase idle work optimization method
Chen et al. Multi-stage dynamic optimal power flow in wind power integrated system
Ram et al. Voltage stability analysis using L-index under various transformer tap changer settings
CN104377721A (en) VSC-HVDC optimization control method for voltage imbalance of power grid
Gouda et al. Optimal power flow including unified power flow controller in a deregulated environment
CN110348598A (en) A kind of Net Frame of Electric Network planing method
CN113300477A (en) Optimization method for central urban power grid energy storage configuration
Ouchen et al. Fuzzy-direct power control of a grid connected photovoltaic system associate with shunt active power filter
Jokojeje et al. Reactive power compensation in Nigeria electricity grid using static synchronous compensator (STATCOM)

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20171222