CN112421610B - Method for carrying out reactive power partitioning on power distribution network by considering source-load time sequence characteristics - Google Patents

Method for carrying out reactive power partitioning on power distribution network by considering source-load time sequence characteristics Download PDF

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CN112421610B
CN112421610B CN202011184905.0A CN202011184905A CN112421610B CN 112421610 B CN112421610 B CN 112421610B CN 202011184905 A CN202011184905 A CN 202011184905A CN 112421610 B CN112421610 B CN 112421610B
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季玉琦
金楠
史少彧
陈雪寒
薛源
王惠丽
姚迎新
杨松林
王佳琳
康静
肖晗
高家辉
王荷茵
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Sanmenxia Power Supply Co Of State Grid Henan Electric Power Co
Zhengzhou University of Light Industry
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Zhengzhou University of Light Industry
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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    • Y02E40/30Reactive power compensation

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Abstract

The invention provides a method for carrying out reactive power partitioning on a power distribution network by considering source-load time sequence characteristics, which comprises the following steps of firstly, establishing a fuzzy clustering partitioning model based on a voltage/reactive power sensitivity matrix; then dividing the power distribution network into a plurality of typical scenes, dividing each typical scene into a plurality of sub-regions according to a fuzzy clustering partition model, evaluating whether the partition is qualified or not by using four evaluation indexes of in-region coupling degree, inter-region coupling degree, regional reactive power balance and regional reactive power reserve, and making corresponding adjustment when the partition is unqualified; the invention not only considers the electrical characteristics and the reactive power regulation and control capability among the partition nodes, but also considers the influence of DG output and load time sequence characteristics on voltage and reactive power partitions, so that the final sub-regions can all meet the partition evaluation index.

Description

Method for carrying out reactive power partitioning on power distribution network by considering source-load time sequence characteristics
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a method for carrying out reactive power partitioning on a power distribution network by considering source-load time sequence characteristics.
Background
The power distribution network is the tail end of four links of 'transmission, distribution and use' of the power system and directly faces to users, and the operation and the scheduling of the power distribution network directly relate to the power consumption quality of the users; with the energy exhaustion and the increasing aggravation of environmental problems, more and more Distributed Generation (DG) are connected into a power distribution network, the random output of the DG is superposed with load fluctuation, and the complexity of the optimized operation and control of the system is increased; under the background, scientific research personnel provide a voltage reactive power partitioning method for a power distribution network, realize DG local consumption and simultaneously be one of effective means for reducing the influence of DG uncertainty on the power distribution network; the system is divided into a plurality of subsystems through reasonable partitioning, and voltage reactive power regulation is performed on the subsystems respectively, so that the calculation amount of optimal control of the DG-containing power distribution network can be reduced, and the accuracy and the real-time performance of voltage reactive power regulation can be effectively improved.
The voltage reactive power partitioning method provided at present mostly considers the reactive power electrical characteristics of voltage between nodes, and clusters partitions according to the electrical compactness between nodes, for example, different clustering algorithms are mostly adopted to partition a power grid on the basis of the electrical distances of the nodes, which only considers the electrical coupling degree between the nodes, but does not fully consider the regional reactive power balance capability; in order to make the partitioning scheme more reasonable, scholars at home and abroad propose a multi-target partitioning method, and a multi-target partitioning model is established by combining a plurality of partitioning evaluation indexes of intra-regional coupling degree, inter-regional coupling degree, regional reactive power balance and regional reactive power reserve.
Disclosure of Invention
The invention aims to provide a method for carrying out reactive power zoning on a power distribution network by considering source-load time sequence characteristics, wherein the influence on voltage reactive power zoning of the power distribution network is analyzed from the source-load time sequence characteristics, and reasonable evaluation is carried out on four zone indexes by analyzing the changes of four zone evaluation indexes of in-zone coupling degree, inter-zone coupling degree, zone reactive power balance and zone reactive power storage, so that an adjusting method of the voltage reactive power zoning is provided, and the reasonable distribution of the voltage reactive power in each zone is realized.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for carrying out reactive power zoning on a power distribution network by considering source-load time sequence characteristics comprises the following steps:
step 1: establishing a fuzzy clustering partition model based on voltage/reactive sensitivity for the power distribution network based on the node electrical distance;
step 2: based on the fuzzy clustering partition model established in the step 1, dividing a power distribution network containing DGs into a plurality of typical scenes according to daily load levels and DG output levels according to typical daily loads and DG output time sequence characteristics;
and step 3: performing fuzzy clustering partition on each typical scene in the step 2, dividing each typical scene containing DG into a plurality of sub-regions, and sequentially calculating partition evaluation indexes of each sub-region in each typical scene, wherein the partition evaluation indexes comprise in-region coupling degree OH ink Degree of inter-region coupling OH outk Regional reactive power balance RRB k And regional reactive reserve RR k The subscript k denotes the kth sub-region of any typical scene;
and 4, step 4: judging whether the partition evaluation indexes of each area in each typical scene are qualified, if so, not adjusting the partition result in the typical scene, and waiting for entering the next partition moment; if not, entering step 5;
specifically, whether the partition evaluation index of the kth sub-area is qualified is judged according to the following formula:
Figure BDA0002747255350000031
if the area of the kth sub-area is in reactive power balance RRB k And regional reactive reserve RR k If the formula is satisfied, judging that the partition evaluation index of the kth sub-area is qualified, and waiting for entering the next partition moment without adjusting the partition; if the area of the kth sub-area is in reactive power balance RRB k And regional reactive reserve RR k If the formula is not satisfied, entering step 5;
and 5: if the regional reactive reserve RR of the region adjacent to the kth sub-region k If sufficient, the sum-zone reactive power reserve RR of the kth sub-zone is set k Dividing the sufficient load nodes connected with the adjacent regions into the adjacent regions, and then judging whether the k-th sub-region and the adjacent region after partition adjustment are qualified or not by using the step 4; if the partition is qualified, finishing the adjustment and waiting for entering the next partition moment; if not, entering step 6;
step 6: the kth sub-region and the region reactive reserve RR k Merging sufficient load nodes of adjacent areas, and judging whether each partition evaluation index after partition merging is qualified or not by using the step 4; if the quality is qualified, the adjustment is finished; and if not, repeating the step 6 until the adjustment is finished after the partition is qualified, and waiting for entering the next partition moment.
Step 3, the in-region coupling degree OH ink Calculated using the formula:
Figure BDA0002747255350000032
in the formula: l kg 、l kl The numbers of DG nodes and load nodes in the kth sub-area are respectively; k is a radical of g And k l Respectively are a set of DG nodes and load nodes in the kth sub-area; ED is the electrical distance between any two nodes in the power distribution network;
Figure BDA0002747255350000041
representing the average electrical distance between the DG node and the load node within the kth sub-region, and max (ED) representing the maximum electrical distance between the DG node and the load node within the kth sub-region; degree of in-area coupling OH ink The smaller the value is, the tighter the electrical connection between the DG node and the load node in the kth sub-region is, and the stronger the coupling degree is.
Step 3, coupling degree OH between the regions outk Calculated using the formula:
Figure BDA0002747255350000042
in the formula:
Figure BDA0002747255350000043
represents the average electrical distance between the DG node and the load node within the kth sub-region,
Figure BDA0002747255350000044
representing the minimum electrical distance between the DG node in the kth sub-area and a load node which does not belong to the kth sub-area; the smaller the indicator, the weaker the coupling between different subregions.
Step 3, the reactive power balance index RRB k Calculated using the formula:
Figure BDA0002747255350000045
in the formula: q gk The DG reactive power output in the kth sub-region is obtained; q lk The reactive load requirement in the kth sub-area is obtained; RRB k If the reactive power is more than 0, the DG reactive power output meets the reactive power requirement of the load of the area where the DG reactive power output is located; RRB k And < 0 indicates that the DG reactive power cannot meet the reactive power requirement of the load in the area.
Step 3, the reactive reserve evaluation index RR k Calculated using the formula:
Figure BDA0002747255350000046
in the formula: q Gk The maximum reactive power output of the reactive power source in the kth sub-area is obtained; when Q is lk >Q Gk When no reactive reserve is available in the region, the reactive demand of the load is provided by the reactive sources in other regions, and the RR is made at the moment k =0。
The invention has the beneficial effects that:
the invention relates to a method for carrying out reactive power partitioning on a power distribution network by considering source-load time sequence characteristics, which comprises the steps of firstly carrying out typical scene partitioning on the power distribution network by utilizing a fuzzy clustering partitioning model based on voltage/reactive power sensitivity, and then calculating a partitioning evaluation index under each typical scene, namely a coupling degree OH in a region ink Degree of inter-region coupling OH outk Regional reactive power balance RRB k And regional reactive reserve RR k Analyzing the influence of DG output and load time sequence change on the partition result according to the change trend of the four partition evaluation indexes; and secondly, adjusting the areas with unqualified zone indexes caused by the time sequence change of source-load according to a voltage reactive zone principle until the zone evaluation indexes of each adjusted area are qualified.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1: the invention relates to a method for carrying out reactive power zoning on a power distribution network by considering source-load time sequence characteristics, which comprises the following steps:
step 1: establishing a fuzzy clustering partition model based on voltage/reactive sensitivity for the power distribution network based on the node electrical distance, defining the electrical distance between nodes based on the voltage/reactive sensitivity, and reflecting the voltage reactive power tightness between the nodes; establishing a fuzzy clustering partitioning model based on voltage/reactive power sensitivity for a power distribution network belongs to the existing mature technology, and is not described again;
step 2: based on the fuzzy clustering partition model established in the step 1, dividing a power distribution network containing DGs into a plurality of typical scenes according to the daily load and the output time sequence characteristics of the DGs;
and step 3: performing fuzzy clustering partitioning on each typical scene in the step 2, dividing a distribution network containing DGs into a plurality of sub-regions, and sequentially calculating partition evaluation indexes of each sub-region in each typical scene, wherein the partition evaluation indexes comprise in-region coupling degree OH ink Degree of inter-region coupling OH outk Regional reactive power balance RRB k And regional reactive reserve RR k The subscript k denotes the kth sub-region; because of the formulation of the fuzzy clustering partition model based on the voltage/reactive sensitivity described in step 1, the following basic principles must be satisfied: weak coupling between areas, strong coupling in the areas, certain reactive power reserve in the areas, and mutual communication of nodes in the areas; in order to quantitatively analyze whether the voltage reactive partitioning scheme conforms to the voltage reactive principle, a partitioning evaluation index is generally used for evaluation; the partition evaluation indexes can be divided into structural indexes and functional indexes; the structural index measures the degree of closeness of connection between each electric node and each area in a typical scene area, including coupling in the areaDegree OH ink And degree of coupling OH between the regions outk (ii) a The functional index measures the regulation performance in a typical scene area and the matching coordination degree of 'source-load' in the area, including regional reactive power balance RRB k And regional reactive reserve RR k Indexes;
further:
the DG node in a typical scene area has voltage reactive power control capacity on the load node, strong coupling should exist in the electrical characteristics between the DG node and the load node according to a partitioning principle, and the coupling degree OH in the area ink Calculated using the formula:
Figure BDA0002747255350000071
in the formula: l kg 、l kl The number of DG nodes and load nodes in the kth sub-area respectively; k is a radical of g And k l Respectively are a set of DG nodes and load nodes in the kth sub-area; ED is the electrical distance between any two nodes in the power distribution network;
Figure BDA0002747255350000072
representing the average electrical distance between the DG node and the load node within the kth sub-region, and max (ED) representing the maximum electrical distance between the DG node and the load node within the kth sub-region; degree of in-region coupling OH ink The smaller the numerical value is, the tighter the electrical connection between the DG node and the load node in the kth sub-area is, and the stronger the coupling degree is;
further:
in order to avoid the loss and the voltage loss of the power distribution network caused by the reactive power increase in the long-distance transmission, the influence of the control in a typical scene area on other typical scene areas is reduced as much as possible, namely, the electric weak coupling between the areas and the coupling degree OH between the areas are ensured outk Calculated using the formula:
Figure BDA0002747255350000073
in the formula:
Figure BDA0002747255350000074
represents the average electrical distance between the DG node and the load node within the kth sub-region,
Figure BDA0002747255350000081
representing the minimum electrical distance between a DG node in the kth sub-area and a load node which does not belong to the kth sub-area; the smaller the index is, the weaker the coupling degree among different subregions is;
and further:
in the partition principle, the ideal state is the reactive local balance in each typical scene area, the energy loss and the voltage drop caused by a large amount of flowing reactive power are avoided, and the reactive balance index RRB k Calculated using the formula:
Figure BDA0002747255350000082
in the formula: q gk The DG reactive power output in the kth sub-region is obtained; q lk The reactive load requirement in the kth sub-area is obtained; RRB k More than 0 represents that the DG reactive power output meets the reactive power requirement of the load of the area where the DG reactive power output is located; RRB k Less than 0 indicates that the DG reactive power output cannot meet the reactive power requirement of the load in the area;
further:
according to the reactive power partition principle, at least 10% -15% of reactive power margin should be provided in each typical scene area when the power distribution network is in actual operation, so that voltage collapse and reactive power reserve evaluation index RR caused by reactive power deficiency in the typical scene area are prevented k Calculated using the formula:
Figure BDA0002747255350000083
in the formula: q Gk The maximum reactive power output of a reactive power source in the kth sub-area; when Q is lk >Q Gk When the reactive power is not reserved in the area, the reactive power demand of the load is generated by reactive power sources in other areasProviding, at this time, RR k =0;
And 4, step 4: judging whether the partition evaluation index under each typical scene is qualified, if so, not adjusting the partition result under the typical scene, and waiting for entering the next partition moment; if not, entering the step 5;
specifically, because the fuzzy clustering partitioning model based on voltage/reactive power sensitivity is adopted, and the model is clustering partitioning which is carried out by taking the intra-region/inter-region coupling degree index as a target, the influence of regional reactive power reserve and regional reactive power balance index on partitioning results is more important to consider when the partitioning is adjusted; therefore, whether the partition evaluation index of the kth sub-area is qualified is judged according to the following formula:
Figure BDA0002747255350000091
if the area of the kth sub-area is in reactive power balance RRB k And regional reactive reserve RR k If the above formula is satisfied, judging that the partition evaluation index of the kth sub-area is qualified without adjusting the partition; if the area of the kth sub-area is in reactive power balance RRB k And regional reactive reserve RR k If the formula is not satisfied, entering step 5;
and 5: if the regional reactive reserve RR is adjacent to the kth sub-region k If sufficient, the sum-zone reactive power reserve RR of the kth sub-zone is set k Dividing the sufficient load nodes connected with the adjacent regions into the adjacent regions, and then judging whether the k-th sub-region and the adjacent region after partition adjustment are qualified or not by using the step 4; if the partition is qualified, finishing the adjustment and waiting for entering the next partition moment; if not, entering step 6;
step 6: the kth sub-region and the region reactive reserve RR k Merging sufficient load nodes of adjacent areas, and judging whether the partition evaluation indexes of the areas after partition merging are qualified or not by utilizing the step 4; if the quality is qualified, the adjustment is finished; if not, repeating the step 6 until the adjustment is finished after the product is qualified, and waiting for entering the next partition moment.
The invention has the beneficial effects that:
the invention relates to a method for carrying out reactive power partitioning on a power distribution network by considering source-load time sequence characteristics, which comprises the steps of firstly carrying out typical scene partitioning on the power distribution network by using a fuzzy clustering partitioning model based on voltage/reactive power sensitivity, and then calculating a partitioning evaluation index, namely a coupling degree OH in a region under each typical scene ink Degree of inter-region coupling OH outk Regional reactive power balance RRB k And regional reactive reserve RR k Analyzing the influence of DG output and load time sequence change on the partition result according to the change trend of the four partition evaluation indexes; and secondly, adjusting the areas with unqualified zone indexes caused by the time sequence change of source-load according to a voltage reactive zone principle until the zone evaluation indexes of each adjusted area are qualified.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (5)

1. A method for carrying out reactive power zoning on a power distribution network by considering source-load time sequence characteristics is characterized by comprising the following steps:
step 1: establishing a fuzzy clustering partition model based on voltage/reactive sensitivity for the power distribution network based on the node electrical distance;
step 2: based on the fuzzy clustering partition model established in the step 1, dividing a power distribution network containing DGs into a plurality of typical scenes according to the daily load level and the DG output level according to the typical daily load and the DG output time sequence characteristics;
and step 3: performing fuzzy clustering partition on each typical scene in the step 2, dividing each typical scene containing DG into a plurality of sub-regions, andsequentially calculating the partition evaluation indexes of each sub-area in each typical scene, wherein the partition evaluation indexes comprise the coupling degree OH in the area ink Degree of inter-region coupling OH outk Regional reactive power balance RRB k And regional reactive reserve RR k The subscript k denotes the kth sub-region of any typical scene;
and 4, step 4: judging whether the partition evaluation indexes of each sub-area under each typical scene are qualified, if so, adjusting the partition result corresponding to the typical scene is not needed, and waiting for entering the next partition moment; if not, entering step 5;
specifically, whether the partition evaluation index of the kth sub-area is qualified is judged according to the following formula:
Figure FDA0003840582040000011
if the area of the kth sub-area is in reactive power balance RRB k And regional reactive reserve RR k If the formula is met, judging that the partition evaluation index of the kth sub-area is qualified, and waiting for entering the next partition time without adjusting the partition; if the area of the kth sub-area is in reactive power balance RRB k And regional reactive reserve RR k If the formula is not satisfied, entering step 5;
and 5: if the regional reactive reserve RR is adjacent to the kth sub-region k If sufficient, the sum-zone reactive power reserve RR of the kth sub-zone is set k Dividing sufficient load nodes connected with adjacent regions into the adjacent regions, and judging whether the k-th sub-region and the adjacent region after partition adjustment are qualified or not by utilizing the step 4; if the partition is qualified, finishing the adjustment and waiting for entering the next partition moment; if not, entering step 6;
step 6: the kth sub-region and the region reactive reserve RR k Merging sufficient load nodes of adjacent areas, and judging whether the partition evaluation indexes of the sub areas after partition merging are qualified or not by utilizing the step 4; if the quality is qualified, the adjustment is finished; if not, repeating the step 6 until the adjustment is finished after the product is qualified,waiting for the next partition entry time.
2. The method of claim 1 for reactive power partitioning of a power distribution network taking into account source-to-load timing characteristics, wherein: step 3, the in-region coupling degree OH ink Calculated using the formula:
Figure FDA0003840582040000021
in the formula: l kg 、l kl The number of DG nodes and load nodes in the kth sub-area respectively; k is a radical of g And k l Respectively are a set of DG nodes and load nodes in the kth sub-area; ED is the electrical distance between any two nodes in the power distribution network;
Figure FDA0003840582040000022
representing the average electrical distance between the DG node and the load node within the kth sub-region, and max (ED) representing the maximum electrical distance between the DG node and the load node within the kth sub-region; degree of in-region coupling OH ink The smaller the value is, the tighter the electrical connection between the DG node and the load node in the kth sub-region is, and the stronger the coupling degree is.
3. The method of claim 1 for reactive power partitioning of a power distribution network taking into account source-to-load timing characteristics, wherein: step 3, coupling degree OH between the regions outk Calculated using the formula:
Figure FDA0003840582040000023
in the formula:
Figure FDA0003840582040000024
represents the average electrical distance between the DG node and the load node within the kth sub-region,
Figure FDA0003840582040000025
representing the minimum electrical distance between the DG node in the kth sub-area and a load node which does not belong to the kth sub-area; the smaller the index is, the weaker the coupling degree between different typical scene areas is.
4. The method of claim 1 for reactive power partitioning of a power distribution network taking into account source-to-load timing characteristics, wherein: step 3, the reactive power balance RRB k Calculated using the formula:
Figure FDA0003840582040000026
in the formula: q gk The DG reactive power output in the kth sub-region is obtained; q lk The reactive load requirement in the kth sub-area is set; RRB k If the reactive power is more than 0, the DG reactive power output meets the reactive power requirement of the load of the area where the DG reactive power output is located; RRB k And < 0 indicates that the DG reactive power cannot meet the reactive power requirement of the load in the area.
5. The method for reactive power partitioning of a power distribution network according to claim 1, wherein the method comprises the following steps: step 3 of the reactive reserve RR k Calculated using the formula:
Figure FDA0003840582040000031
in the formula: q Gk The maximum reactive power output of a reactive power source in the kth sub-area; when Q is lk >Q Gk When no reactive reserve exists in the region, the reactive demand of the load is provided by the reactive sources of other regions, and then the RR is started k =0。
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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115693681B (en) * 2022-11-04 2023-12-26 国网江苏省电力有限公司盐城供电分公司 Improved power distribution network partitioning method, optimization algorithm and regulation planning scheme

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110165681A (en) * 2019-05-10 2019-08-23 华北电力大学 Consider the voltage partition method and pilot bus selection method of Reactive Power Margin
CN110768262A (en) * 2019-10-31 2020-02-07 上海电力大学 Active power distribution network reactive power supply configuration method based on node clustering partition
CN111191856A (en) * 2020-02-17 2020-05-22 天津大学 Regional comprehensive energy system multi-energy load prediction method considering time sequence dynamic characteristics and coupling characteristics
CN111428154A (en) * 2020-02-29 2020-07-17 浙江工业大学 Multi-view visual interactive analysis method for GPS data of single vehicle based on quadtree partition optimization
CN111682539A (en) * 2020-06-30 2020-09-18 国网山东省电力公司威海供电公司 Partitioning method and system for power grid with distributed power supply based on simplified comprehensive scene

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105932666A (en) * 2016-05-18 2016-09-07 中国电力科学研究院 Complex distribution network multi-time-scale digital-analog hybrid simulation system and simulation method therefor

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110165681A (en) * 2019-05-10 2019-08-23 华北电力大学 Consider the voltage partition method and pilot bus selection method of Reactive Power Margin
CN110768262A (en) * 2019-10-31 2020-02-07 上海电力大学 Active power distribution network reactive power supply configuration method based on node clustering partition
CN111191856A (en) * 2020-02-17 2020-05-22 天津大学 Regional comprehensive energy system multi-energy load prediction method considering time sequence dynamic characteristics and coupling characteristics
CN111428154A (en) * 2020-02-29 2020-07-17 浙江工业大学 Multi-view visual interactive analysis method for GPS data of single vehicle based on quadtree partition optimization
CN111682539A (en) * 2020-06-30 2020-09-18 国网山东省电力公司威海供电公司 Partitioning method and system for power grid with distributed power supply based on simplified comprehensive scene

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Load Profile Partitioning and Dynamic Reactive Power Optimization;Guangfei Geng et al.;《IEEE》;20101231;第1-8页 *
基于分区的含DG配电网实时无功优化;周静 等;《电力系统保护与控制》;20151201;第43卷(第23期);第117-124页 *
基于无功/电压控制的电网优化分区方法;李磊 等;《电力系统保护与控制》;20100716;第38卷(第14期);第88-92页 *

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