CN108711882A - Active distribution network isolated island division methods containing distributed generation resource and micro-capacitance sensor - Google Patents
Active distribution network isolated island division methods containing distributed generation resource and micro-capacitance sensor Download PDFInfo
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- CN108711882A CN108711882A CN201810432952.9A CN201810432952A CN108711882A CN 108711882 A CN108711882 A CN 108711882A CN 201810432952 A CN201810432952 A CN 201810432952A CN 108711882 A CN108711882 A CN 108711882A
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- H02J3/382—
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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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- 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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Abstract
The present invention relates to the active distribution network isolated island division methods containing distributed generation resource and micro-capacitance sensor, belong to AC distribution network technology field.Which overcome existing power distribution network isolated island division methods seldom to consider that the defect of the active managements such as capacitor reactive compensation is powered and do not consider outward to micro-capacitance sensor.The present invention includes:The supplying power for outside ability of micro-capacitance sensor is assessed based on risk electricity and Monte-carlo Simulation Method;It completes to divide containing the active distribution network isolated island of distributed generation resource and micro-capacitance sensor:It is up to object function to restore equivalent load weighted sum in isolated island, takes into account every electrical constraints condition while considering that isolated island partitioning model is established in capacitor reactive compensation active management measure, optimal isolated island splitting scheme is solved using heuristic search, i.e.,:Power circle is determined according to radius of electricity supply, breadth first search is first carried out based on power circle, determines feasible zone, and optimal isolated island splitting scheme is obtained further according to depth-first search.Power supply reliability of the present invention is high, reduces dead electricity load.
Description
Technical field
The present invention relates to the active distribution network isolated island division methods containing distributed generation resource and micro-capacitance sensor, belong to AC distribution net
Technical field.
Background technology
In recent years, wind power generating set, photovoltaic cell, micro- gas turbine, fuel cell distributed power supply
(Distributed Generation, DG) with clean, it is renewable, efficient the features such as receive significant attention, as centralization send out
Effective supplement of electricity, distributed generation resource accesses power distribution network, and oneself becomes inexorable trend.Micro-capacitance sensor is by distributed generation resource (DG), energy storage
Device (super capacitor or accumulator), energy converter, associated loadings and monitoring, protective device are small-sized made of collecting to be transported to
Electric system, and be that self-contr ol, protection and the autonomous system of management can be achieved.Based on bulk power grid, to be made of various DG
Micro-capacitance sensor be supplement, be make full use of renewable resource, build intelligent grid important channel, and oneself through become match in the world
The inexorable trend of Electric Power Network Planning and operation.Islet operation is that one kind that introducing distributed generation resource (DG) occurs afterwards in power distribution network is new
The method of operation, wherein intentional islanding are the method for operation beneficial complements to power distribution network.
With good grounds power distribution network ring network structure designs, opens the characteristics of network operation in existing isolated island Research on partition, proposes to be based on
The power distribution network isolated island division methods of Prim algorithms specifically convert the isolated island partition problem for considering interconnection switch to and seek being connected to
The minimum spanning tree of figure scans for connected graph using improved Prim algorithms, with the effective isolated island range of determination;For
The characteristics of optimal islanding problem, has research to point out to propose the back of the body of the constraint diagram containing connection by the extension to constraint diagram knapsack problem
Packet problem proposes the approximate data for solving the figure segmentation problem based on new node set and method for solving;Also have simultaneously and studies
It proposes to determine the possible maximum magnitude of isolated island according to the capacity of DG, then be determined in the range by depth-first search practical
Isolated island range;The partition problem for planning isolated island when separately having research to be related to distribution higher level supply line's failure proposes to be based on Kruskal
The distributed isolated island division methods of algorithm.But these researchs are directed to the power distribution network containing distributed generation resource mostly, seldom consider micro- electricity
Net power supply outward, and utilization of the active management measure in isolated island division is not considered.
Invention content
It is an object of the invention to overcome existing power distribution network isolated island division methods seldom to consider that micro-capacitance sensor is powered and not outward
Consider the defect of the active managements such as capacitor reactive compensation, it is proposed that a kind of active distribution network containing distributed generation resource and micro-capacitance sensor
Isolated island division methods, by assessing the power supply capacity of micro-capacitance sensor, while the active managements measure such as consider capacitor reactive compensation, from
And reach power distribution network maximum purpose of equivalent load weighted sum in island in islet operation, to improve power supply reliability.
The present invention is realized using technical solution below:A kind of active distribution network containing distributed generation resource and micro-capacitance sensor
Isolated island division methods, including:
Step 1:Assess the supplying power for outside ability of micro-capacitance sensor:It is micro- based on risk electricity and Monte-carlo Simulation Method assessment
The supplying power for outside ability of power grid;
Step 2:It completes to divide containing the active distribution network isolated island of distributed generation resource and micro-capacitance sensor:To restore equivalent in isolated island
Load weighted sum is up to object function, takes into account every electrical constraints condition while considering that capacitor reactive compensation active management is arranged
It applies and establishes isolated island partitioning model, optimal isolated island splitting scheme is solved using heuristic search, i.e.,:It is determined according to radius of electricity supply
Power circle, first carries out breadth first search based on power circle, determines feasible zone, and optimal isolated island is obtained further according to depth-first search
Splitting scheme.
Further, the step 1 comprises the following processes:
Step S101:Calculate the cleared-out power random number of micro-capacitance sensor per minute;
Step S102:Obtain the probability density histogram of spare electricity and the probability density histogram of short of electricity amount;
Step S103:Obtain micro-capacitance sensor supplying power for outside capacity Pout.
Further, according to wind-power electricity generation probabilistic model, photovoltaic generation probabilistic model and load in the step S101
Probabilistic model, using Monte-carlo Simulation Method to the output containing distributed generation resource at random of micro-capacitance sensor apoplexy/light in expected period T
It is sampled experiment with load power, to obtain the cleared-out power random number of micro-capacitance sensor per minute.
Further, in the step S102:
When having spare electricity, carries out M simulation by step S101 and obtain M spare electricity sample values, according to frequency disribution
Method obtains the probability density histogram of spare electricity;
When without spare electricity, carries out M simulation by step S101 and obtain M spare electricity sample values, according to frequency substep
Method obtains the probability density histogram of short of electricity amount.
Further, in the step S103:
When having spare electricity, according to can be fitted to obtain the spare electricity of risk after more value described points of step S102 about setting
The approximate piecewise linearity equation of confidence level;
When without spare electricity, according to can be fitted to obtain risk short of electricity amount after more value described points of step S102 about confidence
Spend horizontal approximate piecewise linearity equation;
It is obtained about the approximate piecewise linearity equation of level of confidence according to the spare electricity of risk and risk short of electricity amount micro-
The expression formula of power grid supplying power for outside capacity Pout, and then assess the supplying power for outside ability of micro-capacitance sensor.
Further, step 2 specifically includes following process:
Step S201, collects distribution network load point and distributed generation resource and micro-capacitance sensor installs point data;
Step S202 carries out importance ranking and classification to each load, that is, divides load level;
Step S203 considers wind/electricity, photovoltaic, the energy storage respective output during trouble hunting in micro-capacitance sensor, calculates
Micro-capacitance sensor output power;
Step S204 calculates the product of load level and payload in step S202 and obtains equivalent load, with restorer
The sum of interior equivalent load of system is up to target and establishes isolated island partitioning model;
Step S205 traverses each node load until all loads synthesis equivalent power is got over using breadth-first search
Limit forms power circle, obtains isolated island and divides feasible zone;
Step S206 determines that optimal isolated island is verified until voltage, distributed generation resource using Depth Priority Algorithm
It contributes, energy storage charge and discharge satisfaction constraint, forms optimal isolated island splitting scheme.
Further, the data in the step S201 include each distributed generation resource, the rated power of energy storage and model ginseng
Number.
Further, the search radius of breadth first search method is distributed generation resource rated power in the step S205
The sum of with micro-capacitance sensor output power.
Compared with prior art, the beneficial effects of the invention are as follows:
(1) the active distribution network isolated island division methods of the present invention containing distributed generation resource and micro-capacitance sensor, utilize range
First search algorithm determines the range of isolated island feasible zone, the node where distributed generation resource and micro-capacitance sensor, accesses successively
Its adjacent node, the sum of source nominal power and micro-capacitance sensor output power are constraint in a distributed manner, traverse all and distributed electrical
Isolated island feasible zone can be obtained in the node that source and micro-capacitance sensor have path to communicate.The division of isolated island feasible zone can reduce isolated island search
Space so that isolated island search is more directional, can improve search efficiency;
(2) the active distribution network isolated island division methods of the present invention containing distributed generation resource and micro-capacitance sensor, according to power supply
Radius determines power circle, first carries out breadth first search based on power circle, determines feasible zone, obtained further according to depth-first search
Isolated island divides optimal case, effectively determines optimal isolated island;
(3) the active distribution network isolated island division methods of the present invention containing distributed generation resource and micro-capacitance sensor, pass through assessment
The supplying power for outside ability of micro-capacitance sensor, and isolated island partitioning model is established, it is calculated according to breadth-first search and depth-first search
Method obtains optimal isolated island splitting scheme, realizes the power supply of high reliability:And the external power supply of micro-capacitance sensor is realized, greatly reduce
Dead electricity load.
Description of the drawings
Fig. 1 is flow chart of the method for the present invention.
Fig. 2 is the structural schematic diagram scanned for using breadth-first search in specific implementation mode.
Fig. 3 is the structural schematic diagram scanned for using Depth Priority Algorithm in specific implementation mode.
Fig. 4 is the primitive network structural schematic diagram of power distribution network in specific implementation mode.
Fig. 5 is that the carry out breadth first search of power distribution network in specific implementation mode obtains the network signal of feasible zone
Figure.
Fig. 6 is the network schematic diagram of the optimal isolated island splitting scheme of power distribution network in specific implementation mode.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, understand, below in conjunction with the accompanying drawings and specific example,
Active distribution network isolated island division methods proposed by the present invention containing distributed generation resource and micro-capacitance sensor are further described.It should
Understand, specific embodiment described herein is only used for explaining the present invention, is not intended to limit the present invention.
Active distribution network isolated island division methods of the present invention containing distributed generation resource and micro-capacitance sensor, as shown in Figure 1, packet
Include following steps:
Step 1:Assess the supplying power for outside ability of micro-capacitance sensor:It is micro- based on risk electricity and Monte-carlo Simulation Method assessment
The supplying power for outside ability of power grid;Specifically include following process:
Step S101:Calculate the cleared-out power random number of micro-capacitance sensor per minute:According to wind-power electricity generation probabilistic model, photovoltaic generation
Probabilistic model and Load Probability model contain micro-capacitance sensor apoplexy/light in expected period T using Monte-carlo Simulation Method at random
The output and load power of distributed generation resource are sampled experiment, to obtain the cleared-out power random number of micro-capacitance sensor per minute;
Step S102:Obtain the probability density histogram of spare electricity and the probability density histogram of short of electricity amount:
When having spare electricity (i.e. when wind/light resource abundance), carries out M simulation by step S101 and obtain M standby electricity
Sample value is measured, the probability density histogram of spare electricity is obtained according to frequency disribution method;
When no spare electricity (when wind/light inadequate resource), carries out M simulation by step S101 and obtain M standby electricity
Sample value is measured, the probability density histogram of short of electricity amount is obtained according to the frequency method of fractional steps;
Step S103:Obtain micro-capacitance sensor supplying power for outside capacity Pout:
When having spare electricity (i.e. when wind/light resource abundance), according to can be fitted after more value described points of step S102
Obtain approximate piecewise linearity equation of the spare electricity of risk about level of confidence;
When no spare electricity (when wind/light inadequate resource), according to can be fitted after more value described points of step S102
Obtain approximate piecewise linearity equation of the risk short of electricity amount about level of confidence;
It is obtained about the approximate piecewise linearity equation of level of confidence according to the spare electricity of risk and risk short of electricity amount micro-
The expression formula of power grid supplying power for outside capacity Pout (being characterized with micro-capacitance sensor output power), and then assess the supplying power for outside energy of micro-capacitance sensor
Power;
Step 2:It completes to divide containing the active distribution network isolated island of distributed generation resource and micro-capacitance sensor:To restore equivalent in isolated island
Load weighted sum is up to object function, takes into account every electrical constraints condition while considering that capacitor reactive compensation active management is arranged
It applies and establishes isolated island partitioning model, optimal isolated island splitting scheme is solved using heuristic search, i.e.,:It is determined according to radius of electricity supply
Power circle, first carries out breadth first search based on power circle, determines feasible zone, and optimal isolated island is obtained further according to depth-first search
Splitting scheme;
Step 2 specifically includes following process:
Step S201, collects distribution network load point and distributed generation resource and micro-capacitance sensor installs point data, including each distribution
Power supply, the rated power of energy storage and model parameter;
Step S202 carries out importance ranking and classification to each load, that is, divides load level, wherein:First order load takes
1, two stage loads take 0.5, and three stage loads take 0.1;
Step S203 considers wind/electricity, photovoltaic, the energy storage respective output during trouble hunting in micro-capacitance sensor, calculates
Micro-capacitance sensor supplying power for outside power;
Step S204 calculates the product of load level and payload in step S202 and obtains equivalent load, with restorer
The sum of interior equivalent load of system is up to target and establishes isolated island partitioning model;
In formula:F is the total load weighted sum to restore electricity, i.e., the sum of equivalent load in recovery system;zj∈ { 1,0 }, takes 1
It indicates that node j is restored electricity by certain isolated island is included in, takes 0 expression node j not by cut-in isolated island;hjFor the load weight of node j, tool
Body value takes 1,0.5 or 0.1 by load level in step S202;PLjFor the load power of node j, the i.e. payload of node j;
NLFor system loading number of nodes.
Step S205 utilizes breadth-first search source nominal power and micro-capacitance sensor output power Pout in a distributed manner
The sum of traverse each node load until all loads integrate the out-of-limit formation power circle of equivalent power for search radius, obtain isolated island and draw
Divide feasible zone, wherein it is the center of circle, distributed generation resource rated power and micro- electricity that the formation of power circle, which is equivalent to power supply point in a distributed manner,
The sum of net output power Pout is that radius forms feasible isolated island solution;
Step S206 determines that optimal isolated island is verified until voltage, distributed generation resource using Depth Priority Algorithm
It contributes, energy storage charge and discharge satisfaction constraint, forms optimal isolated island splitting scheme, wherein voltage, distributed generation resource output, energy storage charge and discharge
Whether electricity meets constraint is verified by power flow calculation.
Specific embodiment is given below to illustrate the specific implementation process of the present invention:
As shown in Fig. 2, breadth-first search traverses the concrete operations that each node scans for is:V is accessed first1And
V1Abutment points V2And V3, V is then accessed successively2Abutment points V4And V5And V3Abutment points V6And V7, finally access V4Adjoining
Point V8。
As shown in figure 3, the concrete operations that Depth Priority Algorithm scans for are:From vertex V1It sets out and scans for,
Having accessed vertex V1Later, selection abutment points V2;Then from V2It sets out and scans for, then from V4、V8、V5It sets out and is searched
Rope;Having accessed V5Later, due to V5Abutment points be visited, then search return to V8.Due to same reason, search
Continue back at V4、V2Until V1, at this time due to V1Another abutment points be not accessed, then search is again from V1To V3, be further continued for into
V is gone under row6And V7。
As shown in Fig. 4, Fig. 5 or Fig. 6, the process that its isolated island divides is illustrated by taking 33 node power distribution nets of IEEE as an example:IEEE
33 node power distribution nets are the distribution systems of a single supply, and part distributed generation resource (DG) and micro-capacitance sensor are added in primitive network
(MG), solid line is block switch in figure, and dotted line is interconnection switch, the switch that block switch is closed when being power grid normal operation;Connection
The switch that network switch disconnects when being power grid normal operation, to meet the radial power supply of power grid, but can be closed reduction after a failure
Scope of power outage, node and branch number are marked in figure, total load 3715kW+2300kvar, wherein:Wind 40kW, light 70kW, storage
Can 80kW and controlled distribution formula power supply DG20kW, Fig. 5 be power distribution network in the present embodiment carry out breadth first search obtain it is feasible
The network schematic diagram in domain;Fig. 6 is the network schematic diagram of the optimal isolated island splitting scheme of power distribution network in the present embodiment.
The present invention is based on the supplying power for outside abilities that risk electricity and Monte-carlo Simulation Method assess micro-capacitance sensor, with restorer
The sum of equivalent load is up to target and establishes isolated island partitioning model in system, and equivalent load is multiplying for load level and payload
Product, determines power circle according to radius of electricity supply, first carries out breadth first search based on power circle, feasible zone is determined, further according to depth
First search obtains optimal isolated island splitting scheme.
Claims (8)
1. a kind of active distribution network isolated island division methods containing distributed generation resource and micro-capacitance sensor, it is characterised in that:Including:
Step 1:Assess the supplying power for outside ability of micro-capacitance sensor:Micro-capacitance sensor is assessed based on risk electricity and Monte-carlo Simulation Method
Supplying power for outside ability;
Step 2:It completes to divide containing the active distribution network isolated island of distributed generation resource and micro-capacitance sensor:To restore equivalent load in isolated island
Weighted sum is up to object function, takes into account every electrical constraints condition while considering that capacitor reactive compensation active management measure is built
Vertical isolated island partitioning model solves optimal isolated island splitting scheme using heuristic search.
2. the active distribution network isolated island division methods according to claim 1 containing distributed generation resource and micro-capacitance sensor, feature
It is:The step 1 comprises the following processes:
Step S101:Calculate the cleared-out power random number of micro-capacitance sensor per minute;
Step S102:Obtain the probability density histogram of spare electricity and the probability density histogram of short of electricity amount;
Step S103:Obtain micro-capacitance sensor supplying power for outside capacity Pout.
3. the active distribution network isolated island division methods according to claim 2 containing distributed generation resource and micro-capacitance sensor, feature
It is:According to wind-power electricity generation probabilistic model, photovoltaic generation probabilistic model and Load Probability model in the step S101, use
Monte-carlo Simulation Method to micro-capacitance sensor apoplexy/light in expected period T at random the output containing distributed generation resource and load power into
Line sampling is tested, to obtain the cleared-out power random number of micro-capacitance sensor per minute.
4. the active distribution network isolated island division methods according to claim 2 containing distributed generation resource and micro-capacitance sensor, feature
It is:In the step S102:
When having spare electricity, carries out M simulation by step S101 and obtain M spare electricity sample values, obtained according to frequency disribution method
To the probability density histogram of spare electricity;
When without spare electricity, carries out M simulation by step S101 and obtain M spare electricity sample values, obtained according to the frequency method of fractional steps
To the probability density histogram of short of electricity amount.
5. the active distribution network isolated island division methods according to claim 2 containing distributed generation resource and micro-capacitance sensor, feature
It is:In the step S103:
When having spare electricity, according to can be fitted to obtain the spare electricity of risk after more value described points of step S102 about confidence level
Horizontal approximate piecewise linearity equation;
When without spare electricity, according to can be fitted to obtain risk short of electricity amount about confidence level water after more value described points of step S102
Flat approximate piecewise linearity equation;
According to the spare electricity of risk and risk short of electricity amount micro-capacitance sensor is obtained about the approximate piecewise linearity equation of level of confidence
The expression formula of supplying power for outside capacity Pout, and then assess the supplying power for outside ability of micro-capacitance sensor.
6. the active distribution network isolated island division methods according to claim 1 containing distributed generation resource and micro-capacitance sensor, feature
It is:Step 2 specifically includes following process:
Step S201, collects distribution network load point and distributed generation resource and micro-capacitance sensor installs point data;
Step S202 carries out importance ranking and classification to each load, that is, divides load level;
Step S203 considers wind/electricity, photovoltaic, the energy storage respective output during trouble hunting in micro-capacitance sensor, calculates micro- electricity
Net output power;
Step S204 calculates the product of load level and payload in step S202 and obtains equivalent load, in recovery system
The sum of equivalent load is up to target and establishes isolated island partitioning model;
Step S205 traverses each node load until all loads integrate the out-of-limit shape of equivalent power using breadth-first search
Success rate is justified, and is obtained isolated island and is divided feasible zone;
Step S206, using Depth Priority Algorithm determine optimal isolated island verified until voltage, distributed generation resource contribute,
Energy storage charge and discharge meet constraint, form optimal isolated island splitting scheme.
7. the active distribution network isolated island division methods according to claim 6 containing distributed generation resource and micro-capacitance sensor, feature
It is:Data in the step S201 include each distributed generation resource, the rated power of energy storage and model parameter.
8. the active distribution network isolated island division methods according to claim 6 containing distributed generation resource and micro-capacitance sensor, feature
It is:The search radius of breadth first search method is that distributed generation resource rated power is exported with micro-capacitance sensor in the step S205
The sum of power.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110492526A (en) * | 2019-08-29 | 2019-11-22 | 国网上海市电力公司 | A kind of isolated island division methods based on deferrable load |
CN112531663A (en) * | 2020-12-30 | 2021-03-19 | 合肥工业大学 | Network partitioning method for active power distribution network based on PMU measurement |
CN112910000A (en) * | 2021-02-03 | 2021-06-04 | 国网福建省电力有限公司宁德供电公司 | Dynamic island division method for power distribution network comprising distributed power supply |
CN113991649A (en) * | 2021-10-25 | 2022-01-28 | 国网山东省电力公司青岛供电公司 | Power distribution network reconstruction method and system |
CN114268124A (en) * | 2021-11-25 | 2022-04-01 | 天津大学 | Distributed power supply credible capacity evaluation method based on equal power supply reliability |
-
2018
- 2018-07-19 CN CN201810432952.9A patent/CN108711882A/en active Pending
Non-Patent Citations (2)
Title |
---|
刘传铨等: "计及分布式电源的配电网供电可靠性", 《电力系统自动化》 * |
张晓雪等: "考虑微电网供电潜力的配电网孤岛划分", 《电力自动化设备》 * |
Cited By (9)
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CN110492526A (en) * | 2019-08-29 | 2019-11-22 | 国网上海市电力公司 | A kind of isolated island division methods based on deferrable load |
CN110492526B (en) * | 2019-08-29 | 2023-04-07 | 国网上海市电力公司 | Island division method based on adjustable load |
CN112531663A (en) * | 2020-12-30 | 2021-03-19 | 合肥工业大学 | Network partitioning method for active power distribution network based on PMU measurement |
CN112531663B (en) * | 2020-12-30 | 2023-02-28 | 合肥工业大学 | Network partitioning method for active power distribution network based on PMU measurement |
CN112910000A (en) * | 2021-02-03 | 2021-06-04 | 国网福建省电力有限公司宁德供电公司 | Dynamic island division method for power distribution network comprising distributed power supply |
CN113991649A (en) * | 2021-10-25 | 2022-01-28 | 国网山东省电力公司青岛供电公司 | Power distribution network reconstruction method and system |
CN113991649B (en) * | 2021-10-25 | 2023-08-29 | 国网山东省电力公司青岛供电公司 | Power distribution network reconstruction method and system |
CN114268124A (en) * | 2021-11-25 | 2022-04-01 | 天津大学 | Distributed power supply credible capacity evaluation method based on equal power supply reliability |
CN114268124B (en) * | 2021-11-25 | 2023-08-01 | 天津大学 | Distributed power supply credible capacity assessment method based on equal power supply reliability |
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