CN103942731A - Power grid anticipated fault set automatic generating method and system - Google Patents
Power grid anticipated fault set automatic generating method and system Download PDFInfo
- Publication number
- CN103942731A CN103942731A CN201410158364.2A CN201410158364A CN103942731A CN 103942731 A CN103942731 A CN 103942731A CN 201410158364 A CN201410158364 A CN 201410158364A CN 103942731 A CN103942731 A CN 103942731A
- Authority
- CN
- China
- Prior art keywords
- forecast failure
- fault
- subregion
- failure collection
- territory
- 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
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a power grid anticipated fault set automatic generating method and system. The method includes the following steps that first, an anticipated fault depth of an anticipated fault set and a tide transferring threshold value of a fault influence domain are set; second, a power grid is divided into various partition areas; third, N-1 anticipated fault analysis is performed on each partition area, each anticipated switching-off device and branches with tide transfer exceeding the tide transferring threshold value before and after switching off are added to the fault influence domain, N-1 fault influence domains are formed, all the N-1 fault influence domains are analyzed, the overlapped fault influence domains are combined, and N-2 anticipated fault sets are formed; fourth, according to the anticipated fault depth, the N-m fault influence domains are circularly calculated, and accordingly, a plurality of anticipated fault sets are generated; fifth, the multiple anticipated fault sets in all the partition areas are gathered, and multiple anticipated fault sets of a whole network are formed. The method and system not only are favorable for improving the analysis effect of anticipated faults but also effectively control the scale of the multiple fault sets, the calculating efficiency is high, and the using effect is good.
Description
Technical field
The present invention relates to power grid security analysis technical field, in particular, relate to a kind of electrical network forecast failure collection automatic generation method and system.
Background technology
In order to improve the safety and reliability of electrical network, need to carry out safety analysis to electrical network.Safety analysis mainly comprises static security analysis and dynamic security analysis.At present, the Main Means of static security analysis is by forecast failure collection is set, and the method that forecast failure collection is evaluated is analyzed the residing state of electrical network, thereby for taking corresponding control measure that foundation is provided.Known, forecast failure collection is in consequence in electrical network static security analysis, and its validity directly has influence on the effect of static security analysis.
Because the quantity of electric network element is huge, and the complicacy of electric network fault and diversity, at present, the choosing of forecast failure collection mainly comprises that N-1 cut-offs and with two types of bar line disconnections, this mode exists following problem:
1, along with the continuous reinforcement of electric network composition, electrical network itself just can bear the needs that N-1 cut-offs mostly, except indivedual elements, cut-offfing of most substance elements, on the impact of safe operation of power system little, substantially can not cause the out-of-limit of other element of system, therefore, the necessity of the contingency analysis based on N-1 along with continually strengthening of grid structure more and more a little less than.
2, with the fault of single element by comparison, the harm that multi-element fault causes to system is larger, particularly the generation of N-2 fault, more remarkable to systematic influence.And in current forecast failure, only comprise same bar line fault, and a large amount of non-same bar line fault is not included, the effect of contingency analysis has much room for improvement.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of electrical network forecast failure collection automatic generation method and system are provided, the method and system are not only conducive to improve the effect of contingency analysis, and counting yield is high, and result of use is good.
For achieving the above object, technical scheme of the present invention is: a kind of electrical network forecast failure collection automatic generation method, comprises the following steps:
(1) set the forecast failure degree of depth of forecast failure collection and the trend in fault effects territory and shift threshold values;
(2) electrical network is carried out to subregion;
(3) each subregion is carried out to N-1 contingency analysis: each anticipation is cut-off to equipment and cut-off before and after trend shift to surpass the branch road that trend shifts threshold values and join in fault effects territory, form N-1 fault effects territory; Analyze all N-1 fault effectses territory, merge overlapping fault effects territory, generate N-2 forecast failure collection;
(4) according to the forecast failure degree of depth, cycle calculations N-m fault effects territory, and generate accordingly multiple forecast failure collection;
(5) gather the multiple forecast failure collection of each subregion, form the multiple forecast failure collection of the whole network.
Further, based on subregion, carry out contingency analysis, and by fault effects territory, control the scale of multiple failure collection.
Further, based on branch road, electrical network is carried out to subregion, every branch road only belongs to a subregion, only has public node between subregion and subregion, does not have public limit.
The present invention also provides a kind of electrical network forecast failure collection automatic creation system, comprising:
Default unit, sets for the trend transfer threshold values in the forecast failure degree of depth to forecast failure collection and fault effects territory;
Zoning unit, for according to branch road area principle, carries out subregion to electrical network;
Computing unit, for each subregion is carried out to N-1 contingency analysis, calculates N-1 fault effects territory, and generates N-2 forecast failure collection, on this basis, according to the forecast failure degree of depth, calculates the multiple failure domain of influence, generates multiple forecast failure collection;
Gather unit, for the multiple forecast failure collection to all subregions, gather;
Display unit, for showing the multiple forecast failure collection that comprises N-1 forecast failure collection, N-2 forecast failure collection.
The invention has the beneficial effects as follows, can be on the basis of N-1, the forecast failure collection that generation comprises multiple failure, not only comprise N-1 fault and with bar fault, and comprised other multiple failure except same bar line fault, and effectively controlled the scale of fault collection, the number of faults magnitude utmost point when having solved multiple forecast failure and the choosing large caused counting yield problem that increases severely, make electrical network static security analysis more comprehensive, effectively solved the deficiency that N-1 analyzes, practicality is higher.
Accompanying drawing explanation
Fig. 1 is the subregion schematic diagram of the embodiment of the present invention.
Fig. 2 is the real stream of the method process flow diagram of the embodiment of the present invention.
Fig. 3 is the system construction drawing of the embodiment of the present invention.
Embodiment
Below in conjunction with drawings and the specific embodiments, the present invention is described in further detail.Described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Electrical network forecast failure collection automatic generation method of the present invention, comprises the following steps:
(1) set the forecast failure degree of depth of forecast failure collection and the trend in fault effects territory and shift threshold values;
(2) electrical network is carried out to subregion;
(3) each subregion is carried out to N-1 contingency analysis: each anticipation is cut-off to equipment and cut-off before and after trend shift to surpass the branch road that trend shifts threshold values and join in fault effects territory, form N-1 fault effects territory; Analyze all N-1 fault effectses territory, merge overlapping fault effects territory, generate N-2 forecast failure collection;
(4) according to the forecast failure degree of depth, cycle calculations N-m fault effects territory, and generate accordingly multiple forecast failure collection, m=3 wherein, 4 ...., n;
(5) gather the multiple forecast failure collection of each subregion, form the multiple forecast failure collection of the whole network.
In the present invention, based on subregion, carry out contingency analysis, and by fault effects territory, control the scale of multiple failure collection.Be different from traditional compartment model based on node, the present invention is based on branch road electrical network is carried out to subregion, every branch road only belongs to a subregion, only has public node between subregion and subregion, does not have public limit.
When the multiple forecast failure of electrical network is selected the most difficult place be fault scale along with increasing of fault tuple the utmost point increase severely large, thereby make forecast failure collection too large and cannot all analyze.With a minor scale power net with 100 nodes (bus), calculate, consider that node cut-offs and line disconnection, its single element cut-offs, and the quantity of substance fault (N-1) is 1000.And twin failure (N-2), two elements cut-off fault and cut-off simultaneously, and it is large that its number of faults utmost point increases severely, and reaches approximately 2,000,000, considers the situation that triple failures is concurrent, and its triple failures total number will reach approximately 4,000,000,000.Can find out, rely on the method for fault combination to choose all fault collection, and then in fact the computing method of filtering be one by one difficult to possiblely, why existing this is also based on forecast failure collection, only to carry out N-1 calculating, and does not carry out the immanent cause that N-2 or N-3 calculate.
While choosing in order effectively to reduce multiple failure, the caused number of faults utmost point large problem that increases severely, must filter multiple failure collection, extracts the forecast failure that is of practical significance, power grid security is had to considerable influence.For this reason, need emphasis consider two aspects because usually dwindling the scale of forecast failure, the one, electrical network is carried out to subregion, the 2nd, consider fault effects territory.
Electrical network subregion can guarantee that the fault in Yi Ge district is almost negligible on the impact of district's external equipment, just does not need to consider like this failure condition outside district when the fault in a certain district is analyzed, thereby improves the efficiency of algorithm.The principle of subregion is: every branch road only belongs to some subregions, only has public node between subregion and subregion, can not have public limit (branch road).
In subregion, owing to re-starting distribution in associated branch in the trend Jiang district of anticipation after cut-offfing, in district, the trend of branch road distributes and may have larger variation, outside Dan Dui district, Branch Power Flow impact is very little, in the district that only in district, trend redistribution causes, variation redistributing outside Jiang Dui district in frequency modulation or voltage controller power source meritorious and reactive loss produces slight influence, and this is completely negligible in safety analysis.
The model that affects of the forecast failure in a subregion only turns and can therefore, only need emphasis to consider to occur in this subregion the situation of multiple failure at this subregion, and the consequence of multiple failure is than the circuit of each substance failure effect even more serious situation that superposes.So just avoided the calculating of the multiple failure of different by stages, this subregion thinking can effectively be filtered many faults (harmless or consequence can be similar to the situation of circuit stack) that do not need concern, and improves counting yield.
In order to select the closer circuit of trend correlativity, can to believable multiple failure, select by the method in fault effects territory.Method by failure domain can learn, the quantity of double fault will be no more than N-1 number of faults, and the quantity of triple failures will be no more than double number of faults, have like this and can imitate the forecast failure collection scale of controlling.
In view of this, the invention provides electrical network forecast failure automatic generation method, to address the above problem.
Fig. 1 is the subregion schematic diagram of the embodiment of the present invention.J1 in Fig. 1, J2, J3, J4, J5, J6 is node, Z1, Z2, Z3, Z4, Z5, Z6, Z7 is branch road.According to branch road, carry out subregion, can find out, Z4, Z5, Z6, tetra-branch roads of Z8 surround a subregion, and Z3, Z2, tri-branch roads of Z1 surround another one subregion, totally two subregions in figure; Due to Z5, Z7, the delta-shaped region that Z6 encloses and Z7, Z4, there is common edge in the region that Z8 surrounds, so these two delta-shaped regions can only belong to a subregion.And node J1, J4, J5, the region that J6 surrounds and J1, J3, the region that J2 surrounds only has public node J1, so these two regions belong to respectively two subregions.
With the subregion in Fig. 1, simulate the situation of multiple failure, suppose at Z1, Z2, in the subregion that Z3 forms, through N-1 calculating and fault effects territory, relatively learn, the double fault major effect territory of this subregion is { Z1, Z2}, so, the forecast failure of this subregion, except comprising N-1 substance fault, also comprises a double fault.
Fig. 2 is the real stream of the method process flow diagram of the embodiment of the present invention.As described in Figure 2, electrical network forecast failure collection automatic generation method of the present invention, comprises the following steps:
S1, the setting forecast failure degree of depth of forecast failure collection and the trend in fault effects territory shift threshold values
Forecast failure collection not only comprises single element and cut-offs caused fault, also will comprise multiple failure, can control the fault degree of depth, and can artificially set forecast failure and whether arrive N-2, or N-3 etc.In addition, also need according to actual business requirement, the threshold values of trend transfer system is set, when surpassing this threshold values, just can join fault effects territory.
S2, electrical network is carried out to subregion
Electrical network is carried out to the emphasis that subregion is this patent, and traditional subregion is based on node, and the subregion that the present invention proposes is for branch road.When electrical network is carried out to subregion, model node branch road connected graph, then search for arbitrary the spanning tree of this figure, generate based on this monotroded Zhi Huilu, and then a subregion is merged into in the loop that has common edge, the corresponding branch road in these torus partitionings is removed from figure, and remaining radial branch road carries out subregion by connectedness.By above-mentioned electrical network subregion flow process, electrical network is decomposed into a plurality of independently subregions, very loose across the Branch Power Flow coupling between subregion; And the larger situation of Branch Power Flow metastatic rate only may occur in same subregion, the domain of influence of forecast failure only can be in same subregion.
S3, to carrying out N-1 contingency analysis in subregion
Because the coverage of the forecast failure in a subregion only can, at this subregion, therefore only need be carried out analytical calculation to this subregion, to improve counting yield.The consequence that generation anticipation is simultaneously cut-off between different subregions can be approximately each anticipation and cut-off the linear superposition that equipment cut-offs separately consequence, for this situation, no matter whether this multiple forecast failure exists safety problem, does not all need to carry out further labor; For multiple failure, only need to pay close attention to the situation that multiple failure occurs in same district, the consequence of multiple failure is than the even more serious situation of the linear superposition of each substance failure effect.
The situation that anticipation is cut-off for bus, is equivalent to cut-off successively all branch roads that this bus connects, if these branch roads are positioned at same subregion, only need analyze this subregion, otherwise need carry out domain of influence analysis to relevant a plurality of subregions simultaneously.
When calculating, first carry out N-1 contingency analysis, for each N-1, cut-off, can determine the major effect territory that anticipation is cut-off according to the distribution situation of trend before and after cut-offfing.Little for power flow changing before and after cut-offfing, or the branch road that cut-offs rear trend inverse change can pay close attention to, only pay close attention to those and cut-off rear trend and obviously become the branch road that large and variable quantity surpasses trend transfer system threshold values.N-1 anticipation is cut-off to equipment self and cut-off the fault that rear trend transfer amount surpasses system threshold values and join this equipment domain of influence, only need to be whether overlapping according to the domain of influence of N-1 fault, can generate and need the N-2 fault collection paid close attention to.
S4, subregion is carried out to multiple failure analysis
According to the forecast failure degree of depth, cycle calculations N-m fault effects territory, and generate accordingly multiple forecast failure collection, m=3 wherein, 4 ...., n.
The multiple forecast failure collection of S5, formation the whole network
The multiple forecast failure collection that gathers each subregion, the multiple forecast failure collection of formation the whole network.
Corresponding with said method, the present invention also provides a kind of electrical network forecast failure collection automatic creation system, as shown in Figure 3, comprising:
Default unit 1, sets for the trend transfer threshold values in the forecast failure degree of depth to forecast failure collection and fault effects territory;
Zoning unit 2, for according to branch road area principle, carries out subregion to electrical network;
Computing unit 3, for each subregion is carried out to N-1 contingency analysis, calculates N-1 fault effects territory, and generates N-2 forecast failure collection, on this basis, according to the forecast failure degree of depth, calculates the multiple failure domain of influence, generates multiple forecast failure collection;
Gather unit 4, for the multiple forecast failure collection to all subregions, gather;
Display unit 5, for showing the multiple forecast failure collection that comprises N-1 forecast failure collection, N-2 forecast failure collection.
Detail refers to the record of preceding method part herein, and therefore not to repeat here.
It should be noted that, above-mentioned default unit 1, zoning unit 2, computing unit 3, gather unit 4 and display unit 5 can be hardware cell or hardware circuit, for example, display unit 5 specifically can be display screen, also can be logical block, and available processors realizes its function.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, between each embodiment identical similar part mutually referring to.
The software module that the step of describing in conjunction with embodiment disclosed herein can directly use hardware, processor to carry out, or the combination of the two is implemented.Software module can be placed in the storage medium of any other form known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
Be more than preferred embodiment of the present invention, all changes of doing according to technical solution of the present invention, when the function producing does not exceed the scope of technical solution of the present invention, all belong to protection scope of the present invention.
Claims (4)
1. an electrical network forecast failure collection automatic generation method, is characterized in that, comprises the following steps:
(1) set the forecast failure degree of depth of forecast failure collection and the trend in fault effects territory and shift threshold values;
(2) electrical network is carried out to subregion;
(3) each subregion is carried out to N-1 contingency analysis: each anticipation is cut-off to equipment and cut-off before and after trend shift to surpass the branch road that trend shifts threshold values and join in fault effects territory, form N-1 fault effects territory; Analyze all N-1 fault effectses territory, merge overlapping fault effects territory, generate N-2 forecast failure collection;
(4) according to the forecast failure degree of depth, cycle calculations N-m fault effects territory, and generate accordingly multiple forecast failure collection;
(5) gather the multiple forecast failure collection of each subregion, form the multiple forecast failure collection of the whole network.
2. electrical network forecast failure collection automatic generation method according to claim 1, is characterized in that, based on subregion, carries out contingency analysis, and by fault effects territory, controls the scale of multiple failure collection.
3. electrical network forecast failure collection automatic generation method according to claim 1, is characterized in that, based on branch road, electrical network is carried out to subregion, and every branch road only belongs to a subregion, only has public node between subregion and subregion, does not have public limit.
4. an electrical network forecast failure collection automatic creation system, is characterized in that, comprising:
Default unit, sets for the trend transfer threshold values in the forecast failure degree of depth to forecast failure collection and fault effects territory;
Zoning unit, for according to branch road area principle, carries out subregion to electrical network;
Computing unit, for each subregion is carried out to N-1 contingency analysis, calculates N-1 fault effects territory, and generates N-2 forecast failure collection, on this basis, according to the forecast failure degree of depth, calculates the multiple failure domain of influence, generates multiple forecast failure collection;
Gather unit, for the multiple forecast failure collection to all subregions, gather;
Display unit, for showing the multiple forecast failure collection that comprises N-1 forecast failure collection, N-2 forecast failure collection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410158364.2A CN103942731B (en) | 2014-04-21 | 2014-04-21 | Power grid anticipated fault set automatic generating method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410158364.2A CN103942731B (en) | 2014-04-21 | 2014-04-21 | Power grid anticipated fault set automatic generating method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103942731A true CN103942731A (en) | 2014-07-23 |
| CN103942731B CN103942731B (en) | 2017-02-15 |
Family
ID=51190383
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410158364.2A Active CN103942731B (en) | 2014-04-21 | 2014-04-21 | Power grid anticipated fault set automatic generating method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103942731B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105610618A (en) * | 2015-12-30 | 2016-05-25 | 国网智能电网研究院 | Double-channel fault oriented power communication network planning method |
| CN107942848A (en) * | 2017-10-10 | 2018-04-20 | 国家电网公司 | A kind of method that fault set determines |
| CN108389002A (en) * | 2018-03-13 | 2018-08-10 | 国电南瑞科技股份有限公司 | A kind of multiple failure generation method based on N-1 catastrophe failure collection |
| CN110932267A (en) * | 2019-12-10 | 2020-03-27 | 国网河北省电力有限公司电力科学研究院 | Energy internet fault set decentralized generation and centralized combination system and method |
| CN111431561A (en) * | 2020-03-10 | 2020-07-17 | 国电南瑞科技股份有限公司 | Power system expected fault set generation method and device considering network attack |
| CN112418555A (en) * | 2020-12-07 | 2021-02-26 | 国网湖南省电力有限公司 | Rapid generation method and system for high-risk fault set of intensive power transmission channel |
| CN113283703A (en) * | 2021-04-23 | 2021-08-20 | 国电南瑞科技股份有限公司 | Power grid prevention control decision generation method and system, storage medium and computing device |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101425686B (en) * | 2008-12-11 | 2010-09-15 | 国网电力科学研究院 | Electrical power system on-line safety and stability evaluation forecast failure collection adaptive selection method |
| CN102324743B (en) * | 2011-09-21 | 2015-07-08 | 国电南瑞科技股份有限公司 | Screening method for expected fault in online transient safety and stability assessment of power system |
| CN102545204B (en) * | 2011-11-23 | 2014-01-15 | 广东省电力调度中心 | Automatic generation method and device of power grid fault set |
| CN103336994B (en) * | 2013-04-16 | 2016-06-22 | 国网电力科学研究院 | Transient stability evaluation in power system forecast failure collection rapid screening method |
| CN103632223A (en) * | 2013-11-26 | 2014-03-12 | 国家电网公司 | Regional power grid intelligent scheduling early warning system |
| CN103647279B (en) * | 2013-12-19 | 2016-07-13 | 国家电网公司 | A kind of forecast failure set creation method based on plant stand wiring information |
| CN103700039A (en) * | 2014-01-10 | 2014-04-02 | 国家电网公司 | Power grid real-time risk assessment and precontrol method |
-
2014
- 2014-04-21 CN CN201410158364.2A patent/CN103942731B/en active Active
Non-Patent Citations (4)
| Title |
|---|
| 李立德等: "《基于支路开断分布因子的严重故障筛选》", 《电力与电工》 * |
| 邵振国等: "《在线安全预警中的预想事故生成》", 《电力***自动化》 * |
| 郭瑞鹏等: "《在线多预想故障静态电压崩溃预防控制》", 《中国电机工程学报》 * |
| 马静等: "《基于故障确信度的广域多重故障识别新算法》", 《电网技术》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105610618A (en) * | 2015-12-30 | 2016-05-25 | 国网智能电网研究院 | Double-channel fault oriented power communication network planning method |
| CN105610618B (en) * | 2015-12-30 | 2020-10-13 | 国网智能电网研究院 | Power communication network planning method for double-channel fault |
| CN107942848A (en) * | 2017-10-10 | 2018-04-20 | 国家电网公司 | A kind of method that fault set determines |
| CN108389002A (en) * | 2018-03-13 | 2018-08-10 | 国电南瑞科技股份有限公司 | A kind of multiple failure generation method based on N-1 catastrophe failure collection |
| CN108389002B (en) * | 2018-03-13 | 2021-12-28 | 国电南瑞科技股份有限公司 | Multiple fault generation method based on N-1 serious fault set |
| CN110932267A (en) * | 2019-12-10 | 2020-03-27 | 国网河北省电力有限公司电力科学研究院 | Energy internet fault set decentralized generation and centralized combination system and method |
| CN110932267B (en) * | 2019-12-10 | 2023-04-18 | 国网河北省电力有限公司电力科学研究院 | Energy internet fault set dispersed generation and centralized combination system and method |
| CN111431561A (en) * | 2020-03-10 | 2020-07-17 | 国电南瑞科技股份有限公司 | Power system expected fault set generation method and device considering network attack |
| CN111431561B (en) * | 2020-03-10 | 2021-09-28 | 国电南瑞科技股份有限公司 | Power system expected fault set generation method and device considering network attack |
| CN112418555A (en) * | 2020-12-07 | 2021-02-26 | 国网湖南省电力有限公司 | Rapid generation method and system for high-risk fault set of intensive power transmission channel |
| CN113283703A (en) * | 2021-04-23 | 2021-08-20 | 国电南瑞科技股份有限公司 | Power grid prevention control decision generation method and system, storage medium and computing device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103942731B (en) | 2017-02-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103942731A (en) | Power grid anticipated fault set automatic generating method and system | |
| Zhu et al. | Adaptive power flow method for distribution systems with dispersed generation | |
| CN102403720B (en) | Hyper-real-time setting method for superposed time sequences based on transient voltage safety margin | |
| CN104820865A (en) | Graph-theory-based intelligent optimization method for failure recovery of smart distribution grid | |
| CN103150629A (en) | Dependent-chance two-layer programming model-based transmission network programming method | |
| CN102751729A (en) | Research method for stably controlling static voltage of electric network comprising wind farm | |
| CN106291046B (en) | Mixed pressure common-tower double-return line is single-phase across single-phase across voltage failure current calculation method | |
| CN101291062A (en) | Analysis method of DC power flow in dynamic topology electric network | |
| CN104716646A (en) | Node coupling degree analysis method based on injection currents | |
| CN103269087B (en) | Circuit model selection method taking wind power plant operation mode into consideration | |
| CN101958580B (en) | Division calculation method for real time online trend flow of large power grid | |
| Chen et al. | A novel fault recovery method of active distribution networks oriented to improving resilience | |
| CN103337856B (en) | Switch grouping method of network reconstruction of power distribution network | |
| Deakin et al. | Design and operation of hybrid multi-terminal soft open points using feeder selector switches for flexible distribution system interconnection | |
| Zhu et al. | Optimal allocation of energy storage capacity for stabilizing wind power fluctuation | |
| CN104283208B (en) | The composition decomposition computational methods of the probability available transmission capacity of large-scale power grid | |
| CN108110789A (en) | A kind of grid-connected planing method in intermittent renewable energy layering and zoning | |
| CN112103950A (en) | Power grid partitioning method based on improved GN splitting algorithm | |
| CN106779257A (en) | A kind of electric network composition optimization method for reducing network loss and alleviating voltage dip | |
| CN108564252B (en) | Power distribution network power supply reliability calculation method considering multifunctional power distribution automation | |
| CN115296296A (en) | Power distribution network energy-saving loss-reducing optimization method and system, storage medium and computing equipment | |
| CN101957877B (en) | Over-line fault network equating method of multi-circuit transmission lines in one tower with different voltage classes | |
| Li et al. | A hybrid cable connection structure for wind farms with reliability consideration | |
| CN105576658A (en) | Method for analyzing economy of power distribution network reconstruction project on basis of wiring mode | |
| Olivier et al. | Distributed control of photovoltaic units in unbalanced LV distribution networks to prevent overvoltages |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |