CN109617046B - Power distribution network stability analysis method in power system - Google Patents
Power distribution network stability analysis method in power system Download PDFInfo
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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
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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
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Abstract
A method for analyzing the stability of a power distribution network in a power system simplifies the topological structure of a network structure of a large-scale practical power distribution network to obtain a simplified power distribution network structure so as to facilitate accurate analysis and calculation; the stability initial parameters of the distribution network after the simplification are counted; the power failure information of the load points of the power distribution network is counted; combining the stability initial parameters and the outage information, performing analysis on the fault influence of the power distribution network element by adopting a traversal method, and establishing a load point outage information base; and by combining the load point power failure information base, the stability analysis and prediction of the power distribution network are carried out, and the comprehensive operation monitoring analysis capacity of the power distribution network is obviously improved.
Description
Technical Field
The invention belongs to the field of power system safety, and particularly relates to a power distribution network stability analysis method in a power system.
Background
The distribution network is positioned at the tail end of the power system and is directly connected with users, and the distribution network has the distinct characteristics of wide regional distribution, large power grid scale, multiple equipment types, multiple network connection, variable operation modes and the like, and the current distribution network planning, construction and operation and maintenance work has higher requirements on the level of stability, and the partial load reliability even reaches the level of more than 99.9999 percent, so that the stability level of the distribution network is improved through targeted construction, operation and maintenance, equipment investment and optimized operation modes.
In order to improve the stability of the power distribution network, quantitative stability analysis is required, and the traditional methods are mainly divided into two main types: the analysis method and the simulation method are used for selecting and estimating states by utilizing fault enumeration, and a relatively strict mathematical physical model is established to calculate reliability indexes, wherein the analysis method comprises a state space method, an approximation method, a fault tree and the like, and has the advantages of clear concept, high model precision, rapid increase of calculated amount along with the increase of system scale and difficult processing of related events, and the analysis method is represented by a fault result analysis method (FMEA), a network equivalence method and a fault diffusion method; the simulation method is to select and estimate states by sampling probability distribution of elements, and is to obtain reliability indexes by using a statistical method, so that the simulation method is very suitable for reliability calculation of a complex power system, and the calculation accuracy is limited by various factors, and the simulation method is represented by a time sequence Monte Carlo simulation method and an artificial neural network method.
The operation of the power system faces a plurality of uncertainties, the traditional power system stability analysis theory is established on the basis of probability and mathematical statistics, and the power system in planning is subjected to offline analysis and corresponding stability indexes are given. Most modeling and algorithm theories are based on fixed operation modes, unchanged element reliability models and parameters, influence of changes of real-time operation conditions on element outage probability is ignored, and influence of real-time operation conditions such as operation modes, real-time changes of loads, changes of network structures and the like of a unit on fault results is ignored. The traditional static stability analysis cannot well meet the evaluation of the stability of the distribution network in operation due to the fact that the traditional static stability analysis is not strong in online real-time performance, and is low in efficiency.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for analyzing the stability of a power distribution network in a power system, which comprises the following steps:
step 1, simplifying a topological structure of a network structure of a large-scale practical power distribution network to obtain a simplified power distribution network structure so as to facilitate accurate analysis and calculation;
step 2, counting the initial parameters of the stability of the distribution network after simplification and the initial parameters of the stability of the distribution automation system,
step 3, power failure information of the load points of the power distribution network is counted;
step 4, carrying out analysis on the fault influence of the power distribution network element by adopting a traversal method in combination with the stability initial parameters and the power outage information, and establishing a load point power outage information base;
and 5, combining a load point power failure information base to analyze and predict the stability of the power distribution network.
The beneficial effects of the invention include: firstly, the invention comprehensively considers the weak links and planning targets of the current distribution network, researches the internal association of the stability indexes of the distribution network, constructs the comprehensive analysis indexes based on the stability criteria, not only can fully and accurately analyze the stability level of the distribution network, but also can provide early warning and remedial measures for operators. Secondly, the method reduces the complexity of influence of probability characteristics of the automatic system on the stability of the power distribution network based on the partition mode of the power distribution network from the aspect of the operation mechanism of the automatic system, can quickly and conveniently establish a load point power failure information base, and provides an analysis basis for the stability analysis of the power distribution network. Again, the invention can rapidly analyze and present hundreds of fault events to the power system, and can provide meaningful indications, greatly improving stability analysis efficiency and effect. When the comprehensive index is calculated, the system deviation is obtained and normalized, so that the effects of amplifying the influence of large deviation and covering the influence of small deviation can be achieved. Finally, the system state correction is applied to stability analysis, the network structure is improved, the power distribution system is compensated and optimized, the voltage and line loss are improved, the cut load quantity in the abnormal state of the system is reduced, the overall stability of the system is correspondingly improved, and the comprehensive operation monitoring and analyzing capacity of the power distribution network is remarkably improved.
Drawings
Figure 1 shows the basic flow of the method according to the invention.
Detailed Description
For a better understanding of the invention, the method of the invention is further described below with reference to the description of embodiments in conjunction with the accompanying drawings.
Numerous specific details are set forth in the following detailed description in order to provide a thorough understanding of the invention. It will be appreciated, however, by one skilled in the art that the invention may be practiced without such specific details. In embodiments, well-known methods, procedures, and components have not been described in detail so as not to unnecessarily obscure embodiments.
Referring to fig. 1, the method for analyzing the stability of a power distribution network in a power system of the invention comprises the following steps:
step 1, simplifying a topological structure of a network structure of a large-scale practical power distribution network to obtain a simplified power distribution network structure so as to facilitate accurate analysis and calculation;
step 2, counting the initial parameters of the stability of the distribution network after simplification and the initial parameters of the stability of the distribution automation system,
step 3, power failure information of the load points of the power distribution network is counted;
step 4, carrying out analysis on the fault influence of the power distribution network element by adopting a traversal method in combination with the stability initial parameters and the power outage information, and establishing a load point power outage information base;
and 5, combining a load point power failure information base to analyze and predict the stability of the power distribution network.
Preferably, the topology structure is simplified, and specifically includes:
load point merging, merging a plurality of loads in the same segment into a plurality of users on one load point;
the line segments are simplified, all the line segments separated without a switch are combined into one line segment, and the shorter line segment is ignored on the premise of not influencing the connection relation;
merging branch lines, merging branch lines with a relatively short distance to obtain a simplified distribution network structure model;
the simplified network structure of the power distribution network at least comprises the length of the line, the number of load points, the number of segments and the number of contacts.
Preferably, the step 4 of performing analysis of fault influence of the power distribution network element by using a traversal method, and establishing a load point power failure information base specifically includes:
step 4-1, inputting initial parameters of stability of a power distribution network and a power distribution automation system;
step 4-2, manually partitioning and numbering according to the topological structure information of the power distribution network, and establishing a manual partitioning information base;
step 4-3, a load point power failure information base is established for the load points in each block, and the load point power failure information is recorded, wherein the information comprises: the type of the region, the range and the probability of the autonomous judging region, the range and the probability of the autonomous independent region, the current fault searching time t1 and the fault manual block number;
step 4-4, traversing the manual partitioning according to the serial number sequence;
step 4-5, searching the manual blocks and the types and the numbers of the boundary terminals contained in the main judgment areas by using the manual block information base, and calculating the total number of the independent judgment areas, the corresponding probability value and the current fault searching time t2 to be used as the independent judgment area information for storage;
step 4-6, traversing the autonomous decision areas in step 4-5, searching the types and the numbers of the artificial blocks and the class boundary terminals contained in the respective main independent areas, and calculating the numbers and the corresponding probability values of the autonomous independent areas to be used as information storage of the autonomous independent areas;
step 4-7, traversing the autonomous independent area formed in the step 4-6, searching the corresponding load points, writing a piece of power failure information into the information base of all the load points, checking whether the autonomous independent area under the autonomous judgment area is traversed, and if not, continuing to execute the step 4-7;
step 4-8, checking whether the autonomous judgment area under the fault condition of the manual block is traversed, if not, executing step 4-6;
and 4-9, searching out the fault manual block and load points thereof, and writing information such as the fault searching time t3, the fault manual block number, the failure probability of the power distribution automation system and the like into a power failure information base of each load point.
And 4-10, checking whether the manual block is traversed, and if not, executing the step 4-4.
Preferably, wherein step 4-2: establishing a manual block information base, wherein the information in the manual block information base at least comprises: the type of the upstream and downstream boundary terminal, the serial numbers of the upstream and downstream blocks connected by the terminal, the serial numbers of load points in the blocks, the type and the number of connecting lines, the communication paths from each artificial block to each power point and the serial numbers of the blocks on the communication paths; in various types of areas, the switch closest to the power point is referred to as an upstream boundary switch, and if the switch is configured with an automation terminal, the terminal is referred to as an upstream boundary terminal, and the remaining switches are referred to as downstream boundary switches, and downstream boundary terminals.
Preferably, the manual partitioning is an area block with all types of switches and line ends as boundaries, and is the smallest area for separating faults by the power distribution network.
Preferably, the autonomous determination area is an area formed by an element which is automatically determined to be likely to be faulty by the power distribution network automation system.
Preferably, the autonomous independent area is an area formed by separated elements when the distribution automation system separates faults from the distribution network.
Preferably, in the step 4, the method further includes classifying the areas to which the load points belong according to the position information, calculating the power outage information of the load points in the different kinds of areas by adopting a corresponding calculation method, and recording the power outage information in a load point power outage information base.
Preferably, in the step 5, analysis and prediction of stability of the power distribution network are performed, which specifically includes:
step 5-1, determining a deviation index set of an automatic system of the power distribution network, wherein indexes in the deviation index set are used for defining system deviation caused by faults on feeder load points of the power distribution network, and feeder lines are in a running stable state before the faults occur;
step 5-2, generating a comprehensive index set for each load point fault event according to the deviation index set,
step 5-3, inputting the comprehensive indexes in the comprehensive index set in a mathematical classification model, classifying the stability and the instability of each comprehensive index by comparing the occurrence of the fault event of the load point to obtain the stability judgment of each comprehensive index,
step 5-4, calculating expected power failure time and expected power failure frequency of the load point according to the information in the load point power failure information base,
step 5-5, combining stability judgment of all comprehensive indexes and expected power failure time and expected power failure frequency of load points to form a stability prediction basis of the power distribution network automation system;
5-6, carrying out real-time statistics and analysis on faults generated by the power distribution network automation system, and continuously updating and optimizing the stability prediction basis of the power distribution network automation system;
and 5-7, predicting the stability of the current state of the power distribution network automation system, calculating the probability of occurrence of a power failure event, performing fault early warning when the probability is greater than a threshold value, and providing preventive and state correction measures to reduce the influence of the fault.
Preferably, in the step 5-7, the state correcting measure includes changing a network topology structure of the power distribution network or changing a load distribution mode to reconstruct the power distribution network structure.
Preferably, the index in the deviation index set is selected from the index formed by at least one of the following parameters: (a) standardized bus load through voltage lines, (b) bus voltage, (c) current through a specified interface, (d) reactive power flow through a specified interface.
Preferably, the index in the deviation index set is selected from the index formed by at least one of the following parameters: (a) Average power failure frequency, average power failure times of users in unit time; (b) Average power failure duration, and average power failure time of each time of a user in unit time; (c) The average power-off duration of users is calculated, and in unit time, the average power-off duration of users who are powered off is calculated; (d) Average power availability, user outage time to total time.
Preferably, the step 5-2 generates a comprehensive index set for each load point fault event according to the deviation index set, which specifically includes:
step 5-2-1, calculating a deviation parameter from the steady state of operation before the load point fails to the time of failure for each system deviation defined by the deviation index;
step 5-2-2, dividing the deviation parameters obtained through calculation into forward deviation and reverse deviation;
step 5-2-3, normalizing the forward deviation and the reverse deviation;
step 5-2-4, calculating the power failure time and power failure frequency of the load point according to the information in the power failure information base of the load point, and obtaining the failure probability of the power distribution automation system;
and 5-2-5, generating at least one stability comprehensive index according to the forward deviation, the reverse deviation, the power failure time and the power failure frequency of the load point and the failure probability of the power distribution automation system, and generating the comprehensive index set.
Compared with the prior art, the invention has the remarkable advantages that: firstly, the invention comprehensively considers the weak links and planning targets of the current distribution network, researches the internal association of the stability indexes of the distribution network, constructs the comprehensive analysis indexes based on the stability criteria, not only can fully and accurately analyze the stability level of the distribution network, but also can provide early warning and remedial measures for operators. Secondly, the method reduces the complexity of influence of probability characteristics of the automatic system on the stability of the power distribution network based on the partition mode of the power distribution network from the aspect of the operation mechanism of the automatic system, can quickly and conveniently establish a load point power failure information base, and provides an analysis basis for the stability analysis of the power distribution network. Again, the invention can rapidly analyze and present hundreds of fault events to the power system, and can provide meaningful indications, greatly improving stability analysis efficiency and effect. When the comprehensive index is calculated, the system deviation is obtained and normalized, so that the effects of amplifying the influence of large deviation and covering the influence of small deviation can be achieved. Finally, the system state correction is applied to stability analysis, the network structure is improved, the power distribution system is compensated and optimized, the voltage and line loss are improved, the cut load quantity in the abnormal state of the system is reduced, the overall stability of the system is correspondingly improved, and the comprehensive operation monitoring and analyzing capacity of the power distribution network is remarkably improved.
Only the preferred embodiments of the present invention have been described herein, but it is not intended to limit the scope, applicability, and configuration of the invention. Rather, the detailed description of the embodiments will enable those skilled in the art to practice the embodiments. It will be understood that various changes and modifications may be made in the details without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (12)
1. The method for analyzing the stability of the power distribution network in the power system is characterized by comprising the following steps of:
step 1, simplifying a topological structure of a network structure of a large-scale practical power distribution network to obtain a simplified power distribution network structure so as to facilitate accurate analysis and calculation;
step 2, counting the initial stability parameters of the simplified power distribution network and the initial stability parameters of the power distribution automation system;
step 3, power failure information of the load points of the power distribution network is counted;
step 4, carrying out analysis on the fault influence of the power distribution network element by adopting a traversal method in combination with the stability initial parameters and the power outage information, and establishing a load point power outage information base;
step 5, combining a load point power failure information base to analyze and predict the stability of the power distribution network;
and 4, performing analysis on the influence of the faults of the power distribution network element by adopting a traversal method, and establishing a load point power failure information base, wherein the method specifically comprises the following steps:
step 4-1, inputting initial parameters of stability of a power distribution network and a power distribution automation system;
step 4-2, manually partitioning and numbering according to the topological structure information of the power distribution network, and establishing a manual partitioning information base;
step 4-3, a load point power failure information base is established for the load points in each block, and the load point power failure information is recorded, wherein the information comprises: the type of the region, the range and the probability of the autonomous judging region, the range and the probability of the autonomous independent region, the current fault searching time t1 and the fault manual block number;
step 4-4, traversing the manual partitioning according to the serial number sequence;
step 4-5, searching the manual blocks and the types and the numbers of the boundary terminals contained in the main judgment areas by using the manual block information base, and calculating the total number of the independent judgment areas, the corresponding probability value and the current fault searching time t2 to be used as the independent judgment area information for storage;
step 4-6, traversing the autonomous decision areas in step 4-5, searching the types and the numbers of the artificial blocks and the class boundary terminals contained in the respective main independent areas, and calculating the numbers and the corresponding probability values of the autonomous independent areas to be used as information storage of the autonomous independent areas;
step 4-7, traversing the autonomous independent area formed in the step 4-6, searching the corresponding load points, writing a piece of power failure information into the information base of all the load points, checking whether the autonomous independent area under the autonomous judgment area is traversed, and if not, continuing to execute the step 4-7;
step 4-8, checking whether the autonomous judgment area under the fault condition of the manual block is traversed, if not, executing step 4-6;
step 4-9, searching out fault manual blocks and load points thereof, and writing the fault searching time t3, the fault manual block number and the failure probability information of the power distribution automation system into a power failure information base of each load point;
and 4-10, checking whether the manual block is traversed, and if not, executing the step 4-4.
2. The method of claim 1, wherein the topology simplification, in particular, comprises:
load point merging, merging a plurality of loads in the same segment into a plurality of users on one load point;
the line segments are simplified, all the line segments separated without a switch are combined into one line segment, and the shorter line segment is ignored on the premise of not influencing the connection relation;
merging branch lines, merging branch lines with a relatively short distance to obtain a simplified distribution network structure model;
the simplified network structure of the power distribution network at least comprises the length of the line, the number of load points, the number of segments and the number of contacts.
3. The method of claim 1, wherein step 4-2: establishing a manual block information base, wherein the information in the manual block information base at least comprises: the type of the upstream and downstream boundary terminal, the serial numbers of the upstream and downstream blocks connected by the terminal, the serial numbers of load points in the blocks, the type and the number of connecting lines, the communication paths from each artificial block to each power point and the serial numbers of the blocks on the communication paths; in various types of areas, the switch closest to the power point is referred to as an upstream boundary switch, and if the switch is configured with an automation terminal, the terminal is referred to as an upstream boundary terminal, and the remaining switches are referred to as downstream boundary switches, and downstream boundary terminals.
4. The method of claim 1, wherein the manual segment is a block of areas bounded by all types of switches and line ends, which is a minimum area of the distribution network separating faults.
5. The method of claim 1, wherein the autonomous decision area is an area of an element of the distribution grid automation system that automatically decides as to a failure.
6. The method of claim 1, wherein the autonomous independent area is an area of separated elements when the power distribution automation system separates a fault from the power distribution network.
7. The method according to claim 1, wherein the step 4 further comprises classifying the areas to which the load points belong according to the position information, calculating the power outage information for the load points in the different kinds of areas by adopting a corresponding calculation method, and recording the power outage information in a load point power outage information base.
8. The method according to one of claims 1 to 7, wherein said step 5 of performing distribution network stability analysis and prediction specifically comprises:
step 5-1, determining a deviation index set of an automatic system of the power distribution network, wherein indexes in the deviation index set are used for defining system deviation caused by faults on feeder load points of the power distribution network, and feeder lines are in a running stable state before the faults occur;
step 5-2, generating a comprehensive index set for each load point fault event according to the deviation index set,
step 5-3, inputting the comprehensive indexes in the comprehensive index set in a mathematical classification model, classifying the stability and the instability of each comprehensive index by comparing the occurrence of the fault event of the load point to obtain the stability judgment of each comprehensive index,
step 5-4, calculating expected power failure time and expected power failure frequency of the load point according to the information in the load point power failure information base,
step 5-5, combining stability judgment of all comprehensive indexes and expected power failure time and expected power failure frequency of load points to form a stability prediction basis of the power distribution network automation system;
5-6, carrying out real-time statistics and analysis on faults generated by the power distribution network automation system, and continuously updating and optimizing the stability prediction basis of the power distribution network automation system;
and 5-7, predicting the stability of the current state of the power distribution network automation system, calculating the probability of occurrence of a power failure event, performing fault early warning when the probability is greater than a threshold value, and providing preventive and state correction measures to reduce the influence of the fault.
9. The method according to claim 8, wherein the state correcting means comprises a reconstruction of the distribution network structure by changing the network topology of the distribution network or by changing the load distribution.
10. The method of claim 8, wherein the indicators in the bias indicators set are selected from the group consisting of: (a) standardized bus load through voltage lines, (b) bus voltage, (c) current through a specified interface, (d) reactive power flow through a specified interface.
11. The method of claim 8, wherein the indicators in the bias indicators set are selected from the group consisting of: (a) Average power failure frequency, average power failure times of users in unit time; (b) Average power failure duration, and average power failure time of each time of a user in unit time; (c) The average power-off duration of users is calculated, and in unit time, the average power-off duration of users who are powered off is calculated; (d) Average power availability, user outage time to total time.
12. The method of claim 8, wherein the step 5-2 of generating a comprehensive index set for each load point fault event according to the deviation index set specifically includes:
step 5-2-1 counting for each systematic deviation defined by said deviation indexCalculating the deviation from the stable state of operation before the fault to the occurrence of the fault at the load pointParameters (parameters)；
Step 5-2-2, calculating the deviationParameters (parameters)Dividing into forward deviation and reverse deviation;
step 5-2-3, normalizing the forward deviation and the reverse deviation;
step 5-2-4, calculating the power failure time and power failure frequency of the load point according to the information in the power failure information base of the load point, and obtaining the failure probability of the power distribution automation system;
and 5-2-5, generating at least one stability comprehensive index according to the forward deviation, the reverse deviation, the power failure time and the power failure frequency of the load point and the failure probability of the power distribution automation system, and generating the comprehensive index set.
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