CN106655252A - Prim-based microgrid source load storage recovery method - Google Patents
Prim-based microgrid source load storage recovery method Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H02J3/383—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
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- Supply And Distribution Of Alternating Current (AREA)
- Measurement Of Resistance Or Impedance (AREA)
Abstract
The invention relates to a Prim-based microgrid source load storage recovery method. In the method, the source load storage device recovery sequence problem during a microgrid black start problem is equivalent to a path optimization problem, a recovery event serves as a vertex of a weighted connected undirected graph, the negative value of a microgrid stability margin serves as an edge weight among vertexes, all vertexes in the weighted connected undirected graph are searched based on a Prim algorithm idea to generate the minimum spanning tree, and a recovery sequence scheme for the whole microgrid black start process is formed. The microgrid source load storage recovery method has the advantages of being simple, practical, and smooth in recovery, reference is provided for black start of the microgrid, and the microgrid system reliability is improved.
Description
Technical field
The invention belongs to micro-capacitance sensor control field, more particularly to a kind of based on Prim (prim algorithm, a kind of minimum generation
Tree algorithm) micro-capacitance sensor source lotus storage restoration methods.
Background technology
In the last few years, with economic fast development, the demand of the energy is sharply increased, and distributed power generation
(Distributed Generation, DG) technology is high with its energy utilization rate, of great interest the features such as pollute little,
Micro-capacitance sensor also receives same concern as its technical support.Micro-capacitance sensor can operate in grid-connected as controllable/power unit
State, again can be as small area operation of power networks in island state.By the design philosophy of micro-capacitance sensor, will can have in a large number random
The distributed power source power generation issues of undulatory property are converted into a controllable micro-grid system power generation issues, such that it is able to greatly reduce
The intermittent negative influence to conventional electric power system of distributed energy, while also can improve can to the power supply of micro-capacitance sensor internal load
By degree.
Micro-grid system unavoidably enters power-off stoppage in transit state because of some accidents, and this will cause important load power-off and draw
Economic loss is played, therefore micro-grid system must have the black start-up ability under island state.The black starting-up of micro-capacitance sensor is referred to
Micro-capacitance sensor hinders for some reason stoppage in transit and enters after island state, and the energy-storage units with self-startup ability are used as main electricity in first activation system
Source, then the micro battery without the ability of startup is driven, progressively expand the recovery scope of system, finally realize the recovery of whole system.It is black
Startup is the last line of defense of micro-grid system safe and stable operation.
Find by prior art documents, (a kind of honourable water complementary type micro-capacitance sensor black starting-up control method, China
The patent No.:201410201098.7) one kind is proposed suitable for honourable water complementary type micro-capacitance sensor black starting-up control method, the method
By gathering micro-capacitance sensor basic data, alternative micro-capacitance sensor black-start scheme is selected according to these parameters, then to alternative
One by one simulation calculation, generates on this basis feasible program.Above-mentioned patent needs to carry out data volume huge after alternative is generated
Big in-circuit emulation, this requires that micro-capacitance sensor central controller has powerful data-handling capacity, and this is for small-sized micro-capacitance sensor
System is not simultaneously applied to.
The recovery sequencing problem of source lotus storage equipment during micro-capacitance sensor black starting-up is equivalent to routing problem by the present invention,
Using the event of recovery as the summit of connected undirected graph, using the negative value of micro-capacitance sensor stability margin as the side right value between summit, it is based on
All of summit generates minimum spanning tree in Prim algorithm ideas search Connected undigraph, forms whole micro-capacitance sensor black starting-up process
Recovery sequence scheme.The micro-capacitance sensor source lotus storage restoration methods of the present invention have the advantages that simply, practical, recovery smooths.
The content of the invention
Present invention aim to address above-mentioned the shortcomings of the prior art, a kind of micro-capacitance sensor source based on Prim
Lotus stores up restoration methods, and the recovery that the thought for generating minimum spanning tree based on Prim algorithms forms whole micro-capacitance sensor black starting-up process is suitable
Sequence scheme.
The invention provides a kind of micro-capacitance sensor source lotus storage restoration methods based on Prim, comprise the steps:
(1) micro-capacitance sensor central controller (MGCC, Microgrid Central Controller) carries out micro-capacitance sensor entirety
Topological sum device status monitoring, calculates current micro-capacitance sensor and runs narginWith stability margin KpMG;Wherein, micro-capacitance sensor fortune
Row narginFor describing the reserve nargin of micro-capacitance sensor black starting-up process.Represent that micro-capacitance sensor has just
The active of value is exerted oneself adjustment nargin load increases and power supply is exerted oneself the situation of reduction to tackle;Represent that micro-capacitance sensor has
The active of negative value exerts oneself adjustment nargin to tackle the situation that load reduces increase of exerting oneself with power supply.Micro-capacitance sensor stability margin KpMGTable
Show the power adjustment nargin of micro-capacitance sensor, the stability of micro-capacitance sensor, K can be weighedpMGBigger, its stability is better.KpMGCan be byCalculate, computing formula is as follows:
WhenAndWhen being unsatisfactory for, K is madepMGi=-1.
(2) according to the facility information (including all kinds of micro batteries, load, energy storage device, the storage of abbreviation source lotus) of MGCC monitoring, enter
Row needs the coding of restorer, forms the vertex set of weighting connected undirected graph, and formed current spanning tree vertex set T and
The vertex set T ' of current spanning tree is not belonging to, initialization has generated line setAdjacency matrix H:
Wherein, S is for depositing the ordered set for having generated side;T represents that the vertex set of current spanning tree has been thrown
Enter the cluster tool of micro-capacitance sensor;T ' represents that the vertex set for being not belonging to current spanning tree does not put into the cluster tool of micro-capacitance sensor;H
Represent adjacency matrix, for whether associate between expression weighting connected undirected graph summit and incident vertex between side right value;N tables
Show the source lotus storage number of devices that micro-capacitance sensor need to recover;
(3) micro-capacitance sensor stability margin K after input can be made from the middle selections of T 'pMGMaximum event corresponding vertex, rising as tree
Beginning summit, be added into T, and from T ' deletions;
(4) judge whether all input is finished source lotus storage equipment:If meeting, terminate the lotus storage of micro-capacitance sensor source and recover
Flow process, if it is not, then entering step (5);
(5) into adjacency matrix update algorithm;
(6) from the non-used device of T ', selection can make the minimum side (u ', v ') of side right value l;Wherein u ' takes last
The element of secondary addition T, v ' is the summit in T ';L represents side right value, and the computing formula of l is as follows;
L=-KpMG
(7) Rule of judgment is entered:l≤0;As met, then into step (8), if being unsatisfactory for, terminate the lotus storage of micro-capacitance sensor source
Recover flow process;
(8) (u ', v ') is added and has been generated line set S, and v ' is added into T and from T ' deletions, return to step (4).
Further, micro-capacitance sensor operation narginReserve for describing micro-capacitance sensor black starting-up process is abundant
Degree;Represent micro-capacitance sensor have on the occasion of active exert oneself adjustment nargin load increase and power supply is exerted oneself reduction to tackle
Situation;Represent that there is micro-capacitance sensor the active of negative value to exert oneself adjustment nargin load is reduced and power supply is exerted oneself increase to tackle
Situation;
Micro-capacitance sensor stability margin KpMGThe power adjustment nargin of micro-capacitance sensor is represented, the stability of micro-capacitance sensor, K can be weighedpMGMore
Greatly, its stability is better.KpMGCan be byCalculate, computing formula is as follows:
WhenAndWhen being unsatisfactory for, K is madepMGi=-1.
Further, side right value takes the negative value of micro-capacitance sensor stability margin, and computing formula is as follows:
L=-KpMG。
Further, step (5) the adjacency matrix update algorithm comprises the steps:
(5.1) number of vertex of the current T of MGCC statistics has put into number of devices n of micro-capacitance sensor1, T ' number of vertex do not put into
Number of devices n of micro-capacitance sensor2, and iteration update times are initialized for t=1, wherein, t represents epicycle adjacency matrix update algorithm
Current iterationses;
(5.2) judge:If meeting, into step (5.4);If being unsatisfactory for, into step 3.
(5.3) adjacency matrix H updates:
Wherein, H (i, j) represents adjacency matrix the i-th row jth column element, (uh,vh) be last time add S side, (xh,
uh) it is side that the second last time adds S;
(5.4) circulation process is entered, judges loop stop conditions:T=n2;As met, into step 5;If it is not, then terminating
Adjacency matrix flow process;
(5.5) if judging, after T ' { t } inputs, whether micro-capacitance sensor is stable, i.e., discriminant is:lT′{t}≤0;If being unsatisfactory for, T
{n1Do not associate with T ' { t } summit, adjacency matrix H keeps, return to step 4;If meeting, T { n1Associate with T ' { t } summit, then enter
Enter step 6;Wherein, lT′{t}Represent the side right value that side is formed after T ' { t } inputs, T { n1, T ' { t } represent respectively T last
T-th element of element, T ';
(5.6) renewal adjacency matrix H, return to step (5.4),
Wherein,It is T { n1Correspondence event coding,It is the coding of T ' { t } correspondence events.
Compared with prior art, the invention has the advantages that and technique effect:The present invention is by micro-capacitance sensor black starting-up process
The recovery sequencing problem of middle source lotus storage equipment is equivalent to routing problem, using the event of recovery as connected undirected graph summit,
Using the negative value of micro-capacitance sensor stability margin as the side right value between summit, based on owning in Prim algorithm ideas search Connected undigraph
Summit generate minimum spanning tree, form the recovery sequence scheme of whole micro-capacitance sensor black starting-up process.The micro-capacitance sensor source of the present invention
Lotus storage restoration methods have the advantages that simply, it is practical, recover to smooth, reference, the micro- electricity of raising can be provided for the black starting-up of micro-capacitance sensor
Net system reliability.
Description of the drawings
Fig. 1 is based on the micro-capacitance sensor source lotus storage restoration methods flow chart of Prim.
Fig. 2 is that adjacency matrix updates flow chart.
Fig. 3 is a kind of typical micro-capacitance sensor topology.
Fig. 4 is micro-capacitance sensor source lotus storage recovery process simulation waveform.
Specific embodiment
With reference to embodiment and accompanying drawing, the present invention is further detailed explanation, but embodiments of the present invention are not
It is limited to this.
Based on the micro-capacitance sensor source lotus storage restoration methods of Prim, comprise the steps.
Step 1:Micro-capacitance sensor entirety topological sum equipment state identification is carried out, Fig. 3 is a kind of typical micro-capacitance sensor topology, is calculated
Current micro-capacitance sensor operation narginWith micro-capacitance sensor stability margin KpMG。
Step 2:According to facility information (including all kinds of micro batteries, load, energy storage device, the storage of abbreviation source lotus), carrying out need to be extensive
The coding of multiple equipment, forms the vertex set of weighting connected undirected graph, and forms the vertex set T of current spanning tree and be not belonging to
The vertex set T ' of current spanning tree, initialization has generated line setAdjacency matrix H:
Wherein, S is for depositing the ordered set for having generated side;T represents that the vertex set of current spanning tree has been thrown
Enter the cluster tool of micro-capacitance sensor;T ' represents that the vertex set for being not belonging to current spanning tree does not put into the cluster tool of micro-capacitance sensor;H
Represent adjacency matrix, for whether associate between expression weighting connected undirected graph summit and incident vertex between side right value;N tables
Show the source lotus storage number of devices that micro-capacitance sensor need to recover;
Step 3:Micro-capacitance sensor stability margin K after input can be made from the middle selections of T 'pMGMaximum event corresponding vertex, as tree
Initial vertex, be added into T, and from T ' deletions;
Step 4:Judge whether all input is finished source lotus storage equipment:If meeting, terminate the lotus storage of micro-capacitance sensor source extensive
Resurgent journey, if it is not, then entering step 5;
Step 5:Into adjacency matrix update algorithm;Adjacency matrix more new technological process is as shown in Figure 2.
(5.1) number of vertex of the current T of MGCC statistics has put into number of devices n of micro-capacitance sensor1, T ' number of vertex do not put into
Number of devices n of micro-capacitance sensor2, and iteration update times are initialized for t=1, wherein, t represents epicycle adjacency matrix update algorithm
Current iterationses;
(5.2) judge:If meeting, into step (5.4);If being unsatisfactory for, into step 3.
(5.3) adjacency matrix H updates:
Wherein, H (i, j) represents adjacency matrix the i-th row jth column element, (uh,vh) be last time add S side, (xh,
uh) it is side that the second last time adds S;
(5.4) circulation process is entered, judges loop stop conditions:T=n2;As met, into step 5;If it is not, then terminating
Adjacency matrix flow process;
(5.5) if judging, after T ' { t } inputs, whether micro-capacitance sensor is stable, i.e., discriminant is:lT′{t}≤0;If being unsatisfactory for, T
{n1Do not associate with T ' { t } summit, adjacency matrix H keeps, return to step 4;If meeting, T { n1Associate with T ' { t } summit, then enter
Enter step 6;Wherein, lT′{t}Represent the side right value that side is formed after T ' { t } inputs, T { n1, T ' { t } represent respectively T last
T-th element of element, T ';
(5.6) renewal adjacency matrix H, return to step (5.4),
Wherein,It is T { n1Correspondence event coding,It is the coding of T ' { t } correspondence events.
Step 6:From the non-used device of T ', selection can make the minimum side (u ', v ') of side right value l;Wherein u ' takes most
The element of T is once added afterwards, and v ' is the summit in T ';L represents side right value;
Step 7:Into Rule of judgment:l≤0;As met, then into step 8, if being unsatisfactory for, terminate micro-capacitance sensor source lotus
Storage recovers flow process;
Step 8:(u ', v ') is added and has been generated line set S, and v ' is added into T and from T ' deletions, return to step 4.
In Fig. 4, (a) it is micro-capacitance alternating current bus voltage waveform;B () is micro-capacitance alternating current bus frequency waveform;C () is micro-
The output waveform of electrical network energy storage device;D () is micro-grid load power waveform;E () is micro-capacitance sensor photovoltaic generating system
Output waveform.
As shown in Figure 4:Recover flow process decision-making through the micro-capacitance sensor source lotus storage based on Prim, obtain source lotus storage recovery order
For:Load 1- photovoltaic 2- load 2- photovoltaic 1- loads 3.The lotus storage of micro-capacitance sensor source is carried out according to this result of decision and recovers emulation, load 1
Put into when t=2s, photovoltaic 2 puts into when t=4s, and load 2 puts into when t=6s, and photovoltaic 1 puts into when t=8s, load 3
Put into when t=10s, the fluctuation range of voltage and frequency is all in allowed band during input.The simulation results show side of carrying
Method can realize that micro-capacitance sensor micro battery, load and energy storage device steadily recover.
A kind of micro-capacitance sensor source lotus storage restoration methods based on Prim provided by the present invention are described in detail above,
Specific case used herein is set forth to the principle and embodiment of the present invention, and the explanation of above example is simply used
Understand the method for the present invention and its core concept in help;Simultaneously for one of ordinary skill in the art, according to the present invention's
Thought, will change in specific embodiments and applications, and in sum, this specification content should not be construed as
Limitation of the present invention.
Claims (4)
1. a kind of micro-capacitance sensor source lotus based on Prim stores up restoration methods, it is characterised in that comprise the steps:
(1) micro-capacitance sensor central controller carries out micro-capacitance sensor entirety topological sum device status monitoring, calculates current micro-capacitance sensor operation abundant
DegreeWith stability margin KpMG;
(2) according to the facility information (including all kinds of micro batteries, load, energy storage device, the storage of abbreviation source lotus) of MGCC monitoring, carry out needing
The coding of restorer, forms the vertex set of weighting connected undirected graph, and forms the vertex set T of current spanning tree and do not belong to
In the vertex set T ' of current spanning tree, initialization has generated line setAdjacency matrix H:
Wherein, S is for depositing the ordered set for having generated side;It is micro- that T represents that the vertex set of current spanning tree has put into
The cluster tool of electrical network;T ' represents that the vertex set for being not belonging to current spanning tree does not put into the cluster tool of micro-capacitance sensor;H is represented
Adjacency matrix, for whether associate between expression weighting connected undirected graph summit and incident vertex between side right value;N represents micro-
The source lotus storage number of devices that electrical network need to recover;
(3) micro-capacitance sensor stability margin K after input can be made from the middle selections of T 'pMGMaximum event corresponding vertex, as the starting top of tree
Point, is added into T, and from T ' deletions;
(4) judge whether all input is finished source lotus storage equipment:If meeting, terminate the lotus storage of micro-capacitance sensor source and recover flow process,
If it is not, then entering step (5);
(5) into adjacency matrix update algorithm;
(6) from the non-used device of T ', selection can make the minimum side (u ', v ') of side right value l;Wherein u ' takes last time and adds
Enter the element of T, v ' is the summit in T ';L represents side right value;
(7) Rule of judgment is entered:l≤0;As met, then into step (8), if being unsatisfactory for, terminate the lotus storage of micro-capacitance sensor source and recover
Flow process;
(8) (u ', v ') is added and has been generated line set S, and v ' is added into T and from T ' deletions, return to step (4).
2. a kind of micro-capacitance sensor source lotus based on Prim according to claim 1 stores up restoration methods, it is characterised in that:
Micro-capacitance sensor runs narginFor describing the reserve nargin of micro-capacitance sensor black starting-up process;Represent
Micro-capacitance sensor have a case that on the occasion of active exert oneself adjustment nargin load increase and power supply is exerted oneself reduction to tackle;Table
Show that micro-capacitance sensor has a case that the active of negative value is exerted oneself adjustment nargin load is reduced and power supply is exerted oneself increase to tackle;
Micro-capacitance sensor stability margin KpMGThe power adjustment nargin of micro-capacitance sensor is represented, the stability of micro-capacitance sensor, K can be weighedpMGIt is bigger, its
Stability is better.KpMGCan be byCalculate, computing formula is as follows:
WhenAndWhen being unsatisfactory for, K is madepMGi=-1.
3. a kind of micro-capacitance sensor source lotus based on Prim according to claim 1 stores up restoration methods, it is characterised in that:Side right value
The negative value of micro-capacitance sensor stability margin is taken, computing formula is as follows:
L=-KpMG。
4. a kind of micro-capacitance sensor source lotus based on Prim according to claim 1 stores up restoration methods, it is characterised in that step (5)
The adjacency matrix update algorithm comprises the steps:
(5.1) number of vertex of the current T of MGCC statistics has put into number of devices n of micro-capacitance sensor1, T ' number of vertex do not put into micro- electricity
Number of devices n of net2, and iteration update times are initialized for t=1, wherein, t represents the mesh of epicycle adjacency matrix update algorithm
Front iterationses;
(5.2) judge:If meeting, into step (5.4);If being unsatisfactory for, into step 3.
(5.3) adjacency matrix H updates:
Wherein, H (i, j) represents adjacency matrix the i-th row jth column element, (uh,vh) be last time add S side, (xh,uh) be
The second last time adds the side of S;
(5.4) circulation process is entered, judges loop stop conditions:T=n2;As met, into step 5;If it is not, then terminating to adjoin
Matrix procedures;
(5.5) if judging, after T ' { t } inputs, whether micro-capacitance sensor is stable, i.e., discriminant is:lT′{t}≤0;If being unsatisfactory for, T { n1With
T ' { t } summit does not associate, and adjacency matrix H keeps, return to step 4;If meeting, T { n1Associate with T ' { t } summit, then enter step
Rapid 6;Wherein, lT′{t}Represent the side right value that side is formed after T ' { t } inputs, T { n1, T ' { t } represent respectively T last unit
Element, t-th element of T ';
(5.6) renewal adjacency matrix H, return to step (5.4),
Wherein,It is T { n1Correspondence event coding,It is the coding of T ' { t } correspondence events.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001061820A1 (en) * | 2000-02-17 | 2001-08-23 | Powerline Ges Pty Ltd | Decentralised energy network system |
JP2015139320A (en) * | 2014-01-23 | 2015-07-30 | 富士電機株式会社 | Method for recovery from accident in power distribution system, device and method of estimating actual load and width of power distribution system, and program |
CN105703393A (en) * | 2016-03-10 | 2016-06-22 | 东南大学 | Distributed predictive control strategy-based micro power grid voltage recovery method |
-
2016
- 2016-10-26 CN CN201610947247.3A patent/CN106655252B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001061820A1 (en) * | 2000-02-17 | 2001-08-23 | Powerline Ges Pty Ltd | Decentralised energy network system |
JP2015139320A (en) * | 2014-01-23 | 2015-07-30 | 富士電機株式会社 | Method for recovery from accident in power distribution system, device and method of estimating actual load and width of power distribution system, and program |
CN105703393A (en) * | 2016-03-10 | 2016-06-22 | 东南大学 | Distributed predictive control strategy-based micro power grid voltage recovery method |
Non-Patent Citations (2)
Title |
---|
LEI YU ET AL: "Study on Black Start Strategy of Multi-microgrids with PV and Energy Storage Systems Considering General Situations", 《2015 6TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS SYSTEMS AND APPLICATIONS》 * |
杨苹等: "复杂拓扑结构光储型微电网黑启动策略", 《电力系统保护与控制》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107749620A (en) * | 2017-10-13 | 2018-03-02 | 国网河北能源技术服务有限公司 | A kind of method of service restoration containing distributed power distribution network |
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