CN113904334A - Multi-energy cooperation based partitioning method for power distribution network fault recovery - Google Patents

Multi-energy cooperation based partitioning method for power distribution network fault recovery Download PDF

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CN113904334A
CN113904334A CN202111490730.0A CN202111490730A CN113904334A CN 113904334 A CN113904334 A CN 113904334A CN 202111490730 A CN202111490730 A CN 202111490730A CN 113904334 A CN113904334 A CN 113904334A
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load
distribution network
generator set
power supply
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姬玉泽
陈文刚
宰洪涛
王新瑞
张轲
原亚飞
杨世宁
朱剑飞
刘贺龙
陈磊
姚泽龙
张玉娟
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Jincheng Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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Jincheng Power Supply Co of State Grid Shanxi Electric Power Co Ltd
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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/388—Islanding, i.e. disconnection of local power supply from the network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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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
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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
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Abstract

The invention provides a partitioning method for power distribution network fault recovery based on multi-energy cooperation, which comprises the following steps of: s10, establishing a database of power supply information and load information in the distribution network area; s20, partitioning the nodes of the power distribution network, wherein the formed partition types comprise: case 1: only load and no power supply exist in the region; case 2: only a new energy generator set or a non-black start generator set is arranged in the region; case 3: a synchronous generator set with black start capability exists in the region, and the power generated by the power supply is larger than the load amount, or the power shortage is smaller than the total three-level controllable load power; case 4: a synchronous generator set with black start capability exists in the region, the power generated by the power supply is smaller than the load, and the power shortage is larger than the total three-stage controllable load power; s30, carrying out proper load cutting according to the importance degree of the load; the invention has the beneficial effect of effectively improving the energy utilization efficiency and is suitable for the field of power distribution network fault recovery.

Description

Multi-energy cooperation based partitioning method for power distribution network fault recovery
Technical Field
The invention relates to the technical field of power distribution network fault recovery, in particular to a partitioning method for power distribution network fault recovery based on multi-energy cooperation.
Background
The power distribution network is used as an important link for connecting a power transmission network and users, and the guarantee of stable, safe and reliable operation of the power distribution network is an important field of power system research; when the power distribution network has faults (permanent faults or faults which cannot be eliminated for a short time), if the power failure range is small, the removed load is small, the recovery of the power failure load can be carried out through the load transfer, but when the power failure accident of the power distribution network is serious, the power failure area is large, the power failure load is large, even when the power grid suffers serious extreme weather or natural disasters and a large power failure accident occurs, the large-scale power failure of the power grid can occur, at the moment, the whole power grid needs to be gradually restored according to a black start plan, the power distribution network is used as a weak link of the power grid, the automation degree is low, and large-capacity units are few, so that, the time for waiting for power restoration in the black start process of the power grid is very long, so that a large number of important loads on the power distribution grid side lose power for a long time, immeasurable economic loss is caused, and the benefits of national economy and social development are damaged in serious cases; therefore, the fault recovery research on the power distribution network is particularly necessary.
In a modern power distribution network, a large amount of new energy is accessed for power generation, including photovoltaic power generation, wind power generation, energy storage, biomass power generation and the like, so that the unidirectional flow and the inherent operation control mode of the tide in the traditional radiation type structure of the power distribution network are changed, the tide in the modern power distribution network has the characteristic of bidirectional flow, the control mode is more flexible, considerable energy is accessed to the power distribution network, and the recovery of the power distribution network does not depend on the recovery of a power transmission network any more; however, the new energy power generation has a plurality of problems in the application of power distribution network restoration:
firstly, the output of new energy power generation is easily influenced by the environment, and the output has the characteristic of intermittence or randomness;
secondly, the regulation capacity of new energy power generation is poor; currently, many countries still forbid new energy power generation to participate in the regulation of the voltage and the frequency of a power grid, and only some countries and regions such as germany, china and canada allow some new energy power plants to participate in the regulation of the power grid and the frequency, but have extremely strict regulations on installed capacity, power generation interface types and power factors;
thirdly, when the power failure is caused by the failure of the power grid, the new energy power plant in grid-connected operation must quit operation, and the formation of an island is strictly forbidden, so that the formation of the unplanned island can not only interfere the normal switching-on of the power grid, but also damage equipment and harm the personal safety of workers; the occurrence of unplanned islanding is explicitly prohibited in the originally developed IEEE 929-2000 standard.
With the continuous progress of new energy power generation technology, the three problems are greatly improved, so that the application of new energy power generation in the fault recovery of a power distribution network becomes possible;
firstly, the operation control mode of new energy is continuously improved, and according to different operation requirements, modes such as constant power control (PQ control), voltage/frequency control (V/f control), droop control and the like are applied to actual demonstration engineering, so that the controllability of new energy power generation is improved to a great extent;
secondly, although most standards such as IEEE1547 have no specific provisions in the aspects of active control and frequency regulation of the new energy power supply and are not encouraged to participate in reactive power control and voltage regulation, the conventional synchronous generator set has good voltage and frequency control capability, can stabilize the voltage and frequency of the system, and simultaneously provides voltage and frequency references for the operation and control of the new energy, so that the new energy keeps stable operation;
in addition, in recent years, many countries and regions have encouraged distributed new energy sources to participate in the formation of planned islands, and therefore, various standards are gradually perfected and released in various countries and regions, and distributed new energy sources and the like are allowed to form planned islands to participate in the recovery of a power distribution network; the IEEE1547-2003 standard allows the grid and the users to realize a planned island; therefore, when a fault recovery plan of the power distribution network is prepared, the participation of new energy power generation can be fully and reasonably considered.
Disclosure of Invention
Aiming at the defects in the related technology, the technical problem to be solved by the invention is as follows: the partitioning method for the fault recovery of the power distribution network based on the multi-energy cooperation is capable of effectively improving the energy utilization efficiency.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the partitioning method for power distribution network fault recovery based on multi-energy cooperation comprises the following steps:
s10, establishing a database of power supply information and load information in the distribution network area;
s20, partitioning the nodes of the power distribution network, wherein the formed partition types comprise: case 1: only load and no power supply exist in the region; case 2: only a new energy generator set or a non-black start generator set is arranged in the region; case 3: a synchronous generator set with black start capability exists in the region, and the power generated by the power supply is larger than the load amount, or the power shortage is smaller than the total three-level controllable load power; case 4: a synchronous generator set with black start capability exists in the region, the power generated by the power supply is smaller than the load, and the power shortage is larger than the total three-stage controllable load power;
s30, carrying out proper load cutting according to the importance degree of the load;
wherein, the power information base includes: the power type, the output variation corresponding to the power type, the bus voltage, the frequency and the black start type generator set; the power types include: the system comprises a synchronous generator set and a new energy generator set, wherein the new energy type power supply is defaulted to be a non-black starting type generator set; the load types include: first class load, second class load, third class load, controllable load and uncontrollable load.
Preferably, the method further comprises the following steps:
s40, establishing constraint conditions to be met by regional operation; the constraint conditions comprise:
power balance:
Figure 195950DEST_PATH_IMAGE001
formula (3-1)
Node voltage:
Figure 316352DEST_PATH_IMAGE002
formula (3-2)
System frequency:
Figure 830510DEST_PATH_IMAGE003
formula (3-3)
Transmission power:
Figure 694561DEST_PATH_IMAGE004
formula (3-4)
New energy output:
Figure 703407DEST_PATH_IMAGE005
formula (3-5)
Wherein the content of the first and second substances,
Figure 994711DEST_PATH_IMAGE006
the output of the synchronous machine type power supply in the subarea,
Figure 730586DEST_PATH_IMAGE007
is the load within a partition;
Figure 398327DEST_PATH_IMAGE008
respectively representing the bus voltage and the frequency actual value;
Figure 536048DEST_PATH_IMAGE009
for the actual value of the delivered power,
Figure 263832DEST_PATH_IMAGE010
the output value of the new energy is obtained;
Figure 487003DEST_PATH_IMAGE011
and
Figure 692857DEST_PATH_IMAGE012
respectively a lower limit value and an upper limit value of the node voltage;
Figure 950663DEST_PATH_IMAGE013
and
Figure 849348DEST_PATH_IMAGE014
respectively a lower limit value and an upper limit value of the system frequency;
Figure 559815DEST_PATH_IMAGE015
and
Figure 569360DEST_PATH_IMAGE016
respectively a lower limit value and an upper limit value of the transmission power;
Figure 681672DEST_PATH_IMAGE017
and
Figure 485680DEST_PATH_IMAGE018
respectively is the lower limit value and the upper limit value of the new energy output.
Preferably, in step S20, the distribution network nodes are partitioned by an adaptive simulated annealing algorithm.
Preferably, the partitioning the power distribution network nodes by using the adaptive simulated annealing algorithm specifically includes:
s201, establishing an objective function, wherein the expression of the objective function is as follows:
Figure 683443DEST_PATH_IMAGE019
formula (1)
Wherein the content of the first and second substances,
Figure 496679DEST_PATH_IMAGE020
and
Figure 463498DEST_PATH_IMAGE021
the weight coefficients respectively represent the influence degrees of the load recovery quantity and the switch-off times on the objective function value;
Figure 969565DEST_PATH_IMAGE022
indicating whether the load is contained in the partitioned area, 1 indicating contained, and 0 indicating not contained;
Figure 386116DEST_PATH_IMAGE023
indicating the degree of importance of the load;
Figure 737463DEST_PATH_IMAGE024
the number of switches of the power distribution network which are disconnected when an island is divided;
Figure 824367DEST_PATH_IMAGE025
is the load of the ith node in the partition.
S202, constructing a fitness function according to the target function;
order to
Figure 235757DEST_PATH_IMAGE026
Representing within a single partitionThe amount of the load is the same as the amount of the load,
the fitness function has the expression:
Figure 408112DEST_PATH_IMAGE027
formula (2)
Wherein the content of the first and second substances,
Figure 297571DEST_PATH_IMAGE028
is a penalty item;
Figure 504561DEST_PATH_IMAGE029
is the power deficit value in the jth partition; j represents the number of partitions.
S203, partitioning according to the target function and the adaptive function, and finally forming a classification scheme as follows: case 1-Case 4;
s204, decoding the partition scheme to generate the partition scheme expressed by each switch state quantity in the region.
Preferably, the step S30 specifically includes:
s301, judging whether the power output of the new energy generator set is changed, if so, executing the step S302, otherwise, executing the step S304;
s302, outputting the type, the node position and the processing change information of the power supply with changed output;
s303, correcting the power supply information in the database according to the information output in the step S302;
s304, the synchronous generator sets in the subareas and the new energy generator sets cooperate to recover the faults in a grid-connected operation mode;
s305 ends the failure recovery.
Preferably, in step S304, the grid-connected operation mode includes:
s3041, if only synchronous generator sets exist in the subareas, the synchronous generator sets normally run to generate power according to the divided subareas;
s3042, if there are a synchronous generator set and a new energy generator set in the partition, the synchronous generator set serves as a main control power supply of the partition to provide a bus voltage and a frequency reference value for the new energy generator set, and the new energy generator set serves as a secondary control power supply to achieve constant output of power according to the bus voltage and frequency.
Preferably, the step S202 includes: performing scale stretching on the target function, specifically:
s2021, increasing power shortage item
Figure 86852DEST_PATH_IMAGE030
Said
Figure 480925DEST_PATH_IMAGE030
The expression of (a) is:
Figure 439653DEST_PATH_IMAGE031
formula (4)
Wherein the content of the first and second substances,
Figure 969992DEST_PATH_IMAGE030
representing the difference between the power supply power and the load within the partition,
Figure 723184DEST_PATH_IMAGE032
indicating the amount of load in each region after partitioning,
Figure 870132DEST_PATH_IMAGE033
indicating the power generation amount of the power supply in each area;
s2022, judging the power supply and load information in the area, and pairing the power supply and the load information
Figure 366972DEST_PATH_IMAGE030
Carrying out assignment; the method specifically comprises the following steps:
s2022-1, when the area only contains a power supply or a load,
Figure 17396DEST_PATH_IMAGE034
or
Figure 941490DEST_PATH_IMAGE035
；
S2022-2, when the power in the region is fullWhen the foot load is required, the foot-shaped electric bicycle is driven to run,
Figure 310154DEST_PATH_IMAGE030
is a number between 0 and-1;
s2022-3, when the power in the region is less than the load demand,
Figure 610686DEST_PATH_IMAGE030
is a number between 0 and 1;
in the case of step S2022-3, the partially controllable three-level load is cut off.
Preferably, in step S203, partitioning according to the objective function and the adaptive function includes:
s2031, generating power distribution network parameters and node empowerment information;
s2032, initializing algorithm parameters;
s2033, generating a primary population;
s2034, decoding the population individuals, and calculating individual fitness values;
s2035, self-adaptive selection and optimal retention strategy;
s2036, alternately simulating annealing operation;
s2037, performing mutation simulated annealing operation;
s2038, judging whether the iteration times are more than
Figure 381196DEST_PATH_IMAGE036
If yes, outputting the partition scheme, otherwise executing step S2039;
s2039, after the temperature decrease operation, step S2034 is continued.
Preferably, in step S204, decoding the partition scheme to generate the partition scheme expressed by the switch state quantities in the region, includes:
s2041, generating a power distribution network node matrix;
s2042, modifying the node matrix according to the chromosome coding of the optimal solution of the adaptive simulated annealing algorithm;
s2043, selecting power source nodes which are not searched based on the modified node matrix;
s2044, searching for an adjacent node of the power supply node selected in step S2043;
s2045, triggered from the adjacent node in step S2044, searching again for an adjacent node that has not been searched for;
s2046, judging whether nodes which are not searched exist, if so, continuing to execute the step S2045, otherwise, executing the step S2047;
s2047, storing all the nodes searched for this time in an island node set;
s2048, judging whether all the nodes are searched, if yes, ending, otherwise, continuing to execute the step S2043.
The invention has the beneficial technical effects that:
1. the partitioning method for the power distribution network fault recovery based on the multi-energy cooperation fully considers the advantages and effects of the new energy generator set in the power distribution network fault recovery, well fully utilizes the new energy to generate power, improves the utilization efficiency of energy, is beneficial to solving the problem of wind and light abandonment in the traditional fault recovery, and has strong practicability.
2. According to the invention, a cooperative master-slave control strategy of the synchronous generator set and the new energy generator set in the recovery of the power distribution network is provided, the control capability of the voltage and the frequency of the operation of the power grid after the partition is improved, and the stability of the operation of the power grid is ensured.
3. The method adopts the self-adaptive simulated annealing genetic algorithm to partition the power distribution network, has stronger searching capability and searching space compared with the traditional partitioning algorithm, improves the searching speed and shortens the recovery time of the power distribution network.
4. According to the invention, the randomness and the intermittence of the new energy output are fully considered, a dynamic adjustment strategy is provided, the partition result can be dynamically adjusted according to the output of the generator set, the utilization rate of the new energy is improved, and the contradiction between the operation characteristic of the new energy and the operation of a power grid is relieved.
Drawings
Fig. 1 is a schematic flowchart of a partitioning method for power distribution network fault recovery based on multi-energy coordination according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps S20 and S30 according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of PQ control;
FIG. 4 is a voltage outer loop schematic of the PQ controller;
FIG. 5 is a schematic diagram of the current inner loop of the PQ controller;
FIG. 6 is a flowchart of an adaptive simulated annealing genetic algorithm according to an embodiment of the present invention;
FIG. 7 is a flowchart of an algorithm for decoding a partitioning scheme according to an embodiment of the present invention;
fig. 8 is a schematic flowchart of a partitioning method for power distribution network fault recovery based on multi-energy coordination according to a second embodiment of the present invention;
fig. 9 is a schematic diagram of a PG & E69 node power distribution network structure provided in the third embodiment of the present invention;
fig. 10 is a schematic diagram of the partitioning result of the distribution network according to the third embodiment of the present invention;
FIG. 11 is a schematic diagram of dynamically adjusting partitions after a DG reduces half of the generated power in the third embodiment of the present invention;
fig. 12 is a schematic diagram of dynamically adjusting partitions after a DG increases half the generated power according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, 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.
Next, the present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially according to the general scale for convenience of illustration when describing the embodiments of the present invention, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
An embodiment of the present invention is described in detail below with reference to the accompanying drawings.
Example one
The partitioning method for power distribution network fault recovery based on multi-energy cooperation comprises the following steps:
s10, establishing a database of power supply information and load information in the distribution network area;
s20, partitioning the nodes of the power distribution network, wherein the formed partition types comprise: case 1: only load and no power supply exist in the region; case 2: only a new energy generator set or a non-black start generator set is arranged in the region; case 3: a synchronous generator set with black start capability exists in the region, and the power generated by the power supply is larger than the load amount, or the power shortage is smaller than the total three-level controllable load power; case 4: a synchronous generator set with black start capability exists in the region, the power generated by the power supply is smaller than the load, and the power shortage is larger than the total three-stage controllable load power;
s30, carrying out proper load cutting according to the importance degree of the load;
wherein, the power information base includes: the power type, the output variation corresponding to the power type, the bus voltage, the frequency, the black start type generator set and the position of the power; the power types include: the system comprises a synchronous generator set and a new energy generator set, wherein the new energy type power supply is defaulted to be a non-black starting type generator set; the load types include: first class load, second class load, third class load, controllable load and uncontrollable load.
In this embodiment, in step S20, the distribution network nodes are partitioned by an adaptive simulated annealing algorithm.
Specifically, as shown in fig. 2, partitioning the distribution network nodes by an adaptive simulated annealing algorithm specifically includes:
s201, establishing an objective function, wherein the expression of the objective function is as follows:
Figure 476191DEST_PATH_IMAGE019
formula (1)
Wherein the content of the first and second substances,
Figure 335081DEST_PATH_IMAGE020
and
Figure 173724DEST_PATH_IMAGE021
the weight coefficients respectively represent the influence degrees of the load recovery quantity and the switch-off times on the objective function value;
Figure 533161DEST_PATH_IMAGE022
indicating whether the load is contained in the partitioned area, 1 indicating contained, and 0 indicating not contained;
Figure 64637DEST_PATH_IMAGE023
indicating the degree of importance of the load;
Figure 142314DEST_PATH_IMAGE024
the number of switches of the power distribution network which are disconnected when an island is divided;
Figure 50227DEST_PATH_IMAGE025
is the load of the ith node in the partition.
The objective function in the formula (1) gives priority to the principle of maximum load recovery, and recovers important loads (primary and secondary loads) preferentially, and then requires the minimum number of partitions so as to facilitate the simple operation of power grid dispatching, so that the required number of switching actions is minimum.
S202, constructing a fitness function according to the target function;
order to
Figure 529750DEST_PATH_IMAGE026
Indicating the amount of load within a single partition,
the fitness function has the expression:
Figure 966548DEST_PATH_IMAGE027
formula (2)
Wherein the content of the first and second substances,
Figure 797100DEST_PATH_IMAGE028
is a penalty item;
Figure 977546DEST_PATH_IMAGE029
is the power deficit value in the jth partition; j represents the number of partitions.
In this embodiment, a fitness function is constructed according to an objective function, and in addition to the two principles (the principle of maximum load recovery and the principle of minimum partition number), the result type of a partition is also considered, and if no power supply or no load exists in the partition, the area does not meet the condition; when the power of the power supply in the region can not meet the load, the controllable three-stage load needs to be cut off, and the load in the region is adjusted; therefore, it is necessary to perform the scale-stretching of the objective function, and to screen and adjust the segmentation result
Specifically, the step S202 includes: performing scale stretching on the target function, specifically:
s2021, increasing power shortage item
Figure 577155DEST_PATH_IMAGE030
Said
Figure 184853DEST_PATH_IMAGE030
The expression of (a) is:
Figure 237123DEST_PATH_IMAGE037
formula (4)
Wherein the content of the first and second substances,
Figure 221260DEST_PATH_IMAGE030
representing the difference between the power supply power and the load within the partition,
Figure 675375DEST_PATH_IMAGE032
indicating the amount of load in each region after partitioning,
Figure 453975DEST_PATH_IMAGE033
indicating the power generation amount of the power supply in each area;
s2022, judging the power supply and load information in the area, and pairing the power supply and the load information
Figure 259120DEST_PATH_IMAGE030
Carrying out assignment; the method specifically comprises the following steps:
s2022-1, when the area only contains a power supply or a load,
Figure 781368DEST_PATH_IMAGE034
or
Figure 89990DEST_PATH_IMAGE035
；
S2022-2, when the power in the region meets the load requirement,
Figure 36561DEST_PATH_IMAGE030
is a number between 0 and-1;
s2022-3, when the power in the region is less than the load demand,
Figure 63423DEST_PATH_IMAGE030
is a number between 0 and 1;
wherein, in the case of step S2022-3, the cutting of part of the controllable three-level load is required;
in this embodiment, a penalty term θ is added to penalize the term to exclude
Figure 389362DEST_PATH_IMAGE030
1 or 0.
S203, partitioning according to the target function and the adaptive function, and finally forming a classification scheme as follows: case 1-Case 4;
s204, decoding the partition scheme to generate the partition scheme expressed by each switch state quantity in the region.
Further, the step S30 specifically includes:
s301, judging whether the power output of the new energy generator set is changed, if so, executing the step S302, otherwise, executing the step S304;
s302, outputting the type, the node position and the processing change information of the power supply with changed output;
s303, correcting the power supply information in the database according to the information output in the step S302;
s304, the synchronous generator sets in the subareas and the new energy generator sets cooperate to recover the faults in a grid-connected operation mode;
s305 ends the failure recovery.
Further, in step S304, the grid-connected operation mode includes:
s3041, if only synchronous generator sets exist in the subareas, the synchronous generator sets normally run to generate power according to the divided subareas;
s3042, if there are a synchronous generator set and a new energy generator set in the partition, the synchronous generator set serves as a main control power supply of the partition to provide a bus voltage and a frequency reference value for the new energy generator set, and the new energy generator set serves as a secondary control power supply to achieve constant output of power according to the bus voltage and frequency.
As shown in fig. 3, in this embodiment, the new energy generator set adopts a PQ control mode, and performs operation control on the inverter by referring to the voltage and the frequency provided by the synchronous generator set, where the voltage and the frequency provided by the synchronous generator set are within a stable operation range of the power grid, and the inverter of the new energy generator set can adjust the output active power and reactive power according to the change of the frequency and the voltage, and can realize two characteristics of active power-frequency and voltage-reactive power of the generator under the adjustment of the voltage and the frequency reference.
FIG. 4 is a voltage outer loop schematic of the PQ controller; FIG. 5 is a schematic diagram of the current inner loop of the PQ controller; as shown in fig. 4 and 5, the inverter of the new energy generator set performs dq0 (park transformation) decomposition on the voltage and current according to the voltage and frequency reference provided by the synchronous generator set, obtains four parameters of ud, uq, id and iq, and provides the parameters to the PQ controller for control operation.
The instantaneous power injected into the power grid by the new energy generator set is expressed in dq0 coordinates as follows:
Figure 552490DEST_PATH_IMAGE038
formula (304-1)
Wherein the content of the first and second substances,
Figure 938472DEST_PATH_IMAGE039
inputting active power to the power grid for the new energy,
Figure 452630DEST_PATH_IMAGE040
inputting reactive power to the power grid for new energy,
Figure 582260DEST_PATH_IMAGE041
、
Figure 599895DEST_PATH_IMAGE042
、
Figure 156778DEST_PATH_IMAGE043
、
Figure 892653DEST_PATH_IMAGE044
voltage and current components for the d-axis and q-axis transformed at the dq0 coordinate;
instantaneous power
Figure 825974DEST_PATH_IMAGE039
And
Figure 698115DEST_PATH_IMAGE040
the average power is obtained after passing through a low-pass filter
Figure 691479DEST_PATH_IMAGE045
And
Figure 914650DEST_PATH_IMAGE046
and carrying out PI regulation on the average power according to a power reference value controlled by PQ to obtain a current signal, thereby entering a current inner loop control link.
As shown in fig. 5, dq component of the current passes through a low-pass filter in the current inner loop, and then is compared with the current signal output by the outer loop control, and the obtained result is subjected to PI regulation, voltage feedforward compensation and cross-coupling compensation to obtain a voltage modulation signal of the inverter, so as to perform signal control on the inverter;
the dq component of the effective value of the output fundamental line voltage of the inverter is:
Figure 120503DEST_PATH_IMAGE047
formula (304-2)
Wherein the content of the first and second substances,
Figure 378309DEST_PATH_IMAGE048
as a component of the d-axis of the voltage,
Figure 276995DEST_PATH_IMAGE049
for the q-axis component of the voltage,
Figure 721883DEST_PATH_IMAGE050
and
Figure 997006DEST_PATH_IMAGE051
for the d-axis and q-axis modulation signals of the inverter,
Figure 109319DEST_PATH_IMAGE052
in order to modulate a carrier signal,
Figure 927975DEST_PATH_IMAGE053
and the modulation coefficient of the inverter during SPWM modulation is adopted.
Therefore, the inverter of the new energy generator set realizes stable output of power through the voltage and frequency reference value of the system provided by the synchronous generator set.
The control operation strategy of the invention adopts a master-slave control strategy, the synchronous generator set is used as a master control power supply of a regional system and is mainly responsible for the voltage and frequency stability of the whole regional system, voltage and frequency reference values are provided for the stable operation of the new energy generator set, and the new energy generator set is used as a slave control power supply and realizes the constant output of power according to the voltage and frequency of a bus.
In addition, the output of the new energy generator set has uncertainty and randomness, so that a power value under a constant power control mode of the new energy generator set is controlled by formulating a power reference according to the operating characteristics of a power supply, and therefore the dynamic characteristics of the output of the new energy are considered in the partition of the power distribution network, and the real-time partition of the power distribution network is realized.
The partition algorithm provided by the invention adopts an adaptive simulated annealing genetic algorithm (AGAA), and is improved by adding a simulated annealing mechanism and an adaptive mechanism on the basis of the traditional genetic algorithm.
Firstly, an adaptive mechanism improves a selection operator in a selection mechanism in the genetic algorithm process, the original selection mechanism takes the calculation proportion of the fitness value of each individual in a population as the selection probability of the individual, and then the individuals are reserved and eliminated according to the rule of roulette, wherein the selection probability is as follows:
Figure 391318DEST_PATH_IMAGE054
formula (2-1)
Wherein the content of the first and second substances,
Figure 938974DEST_PATH_IMAGE055
is the fitness value of the ith individual,
Figure 171372DEST_PATH_IMAGE056
the probability of selection for the ith individual,
Figure 146281DEST_PATH_IMAGE057
is the sum of fitness of all individuals in the first generation population.
The addition of the adaptation mechanism to the adaptation mechanism improves as follows:
Figure 831340DEST_PATH_IMAGE058
formula (2-2)
Wherein the content of the first and second substances,
Figure 448267DEST_PATH_IMAGE059
in order to select the probability adaptively,
Figure 269592DEST_PATH_IMAGE060
is the current maximum fitness value for the current time,
Figure 680982DEST_PATH_IMAGE061
for the current minimum fitness value to be the minimum fitness value,
Figure 853337DEST_PATH_IMAGE062
is the current genetic algebra and is the current genetic algebra,
Figure 742796DEST_PATH_IMAGE063
a and b are constants for the maximum number of genetic generations, and a>0。
The simulated annealing mechanism is improved in the crossing and mutation process of the genetic algorithm, and adopts a Boltzmann mechanism to accept new individuals, namely:
Figure 949786DEST_PATH_IMAGE064
then use the individual
Figure 266498DEST_PATH_IMAGE065
Substitution
Figure 660570DEST_PATH_IMAGE066
Otherwise not accept
Figure 619299DEST_PATH_IMAGE065
(ii) a If it is not
Figure 415217DEST_PATH_IMAGE067
Then use the individual
Figure 433988DEST_PATH_IMAGE068
Substitution
Figure 315357DEST_PATH_IMAGE069
Otherwise not accept
Figure 546618DEST_PATH_IMAGE068
(ii) a Wherein
Figure 462621DEST_PATH_IMAGE070
And
Figure 383785DEST_PATH_IMAGE071
the calculation formula of (a) is as follows:
Figure 18029DEST_PATH_IMAGE072
formula (2-3)
Wherein the content of the first and second substances,
Figure 52981DEST_PATH_IMAGE073
the probability of selection for the jth individual,
Figure 557912DEST_PATH_IMAGE074
and
Figure 918486DEST_PATH_IMAGE075
respectively, the fitness values of the corresponding individuals,
Figure 774446DEST_PATH_IMAGE076
to simulate the temperature of annealing.
FIG. 6 is a flowchart of an adaptive simulated annealing genetic algorithm according to an embodiment of the present invention; as shown in fig. 6, in step S203, partitioning according to the objective function and the adaptive function specifically includes:
s2031, generating power distribution network parameters and node empowerment information;
s2032, initializing algorithm parameters;
s2033, generating a primary population;
s2034, decoding the population individuals, and calculating individual fitness values;
s2035, self-adaptive selection and optimal retention strategy;
s2036, alternately simulating annealing operation;
s2037, performing mutation simulated annealing operation;
s2038, judging whether the iteration times are more than
Figure 613089DEST_PATH_IMAGE077
If yes, outputting the partition scheme, otherwise executing step S2039;
s2039, after the temperature decrease operation, step S2034 is continued.
After the optimal partitioning scheme of the power distribution network is obtained according to the adaptive simulated annealing genetic algorithm, the partitioning scheme needs to be decoded, namely, the chromosome genotype expression adopted by the algorithm is converted into the expression of the switching state of each branch, each node is searched by adopting a node traversal method, then the partitioning scheme expressed by each switching state quantity is generated, and the decoding flow of the partitioning scheme is shown in fig. 7.
As shown in fig. 7, the step S204 is a step of decoding the partition scheme to generate the partition scheme expressed by the switch state quantities in the region, and includes:
s2041, generating a power distribution network node matrix;
s2042, modifying the node matrix according to the chromosome coding of the optimal solution of the adaptive simulated annealing algorithm;
s2043, selecting power source nodes which are not searched based on the modified node matrix;
s2044, searching for an adjacent node of the power supply node selected in step S2043;
s2045, triggered from the adjacent node in step S2044, searching again for an adjacent node that has not been searched for;
s2046, judging whether nodes which are not searched exist, if so, continuing to execute the step S2045, otherwise, executing the step S2047;
s2047, storing all the nodes searched for this time in an island node set;
s2048, judging whether all the nodes are searched, if yes, ending, otherwise, continuing to execute the step S2043.
The method can realize dynamic partitioning, and can timely adjust the node information and the power supply information generated by the power distribution network according to the processing fluctuation and change of the new energy generator set when the AGAA algorithm is adopted for partitioning, and readjust the partitioning scheme.
Example two
As shown in fig. 8, on the basis of the first embodiment, the partitioning method for power distribution network fault recovery based on multi-energy coordination further includes:
s40, establishing constraint conditions to be met by regional operation; the constraint conditions comprise:
power balance:
Figure 238106DEST_PATH_IMAGE078
formula (3-1)
Node voltage:
Figure 504002DEST_PATH_IMAGE079
formula (3-2)
System frequency:
Figure 581679DEST_PATH_IMAGE080
formula (3-3)
Transmission power:
Figure 489593DEST_PATH_IMAGE081
formula (3-4)
New energy output:
Figure 969115DEST_PATH_IMAGE082
formula (3-5)
Wherein the content of the first and second substances,
Figure 405913DEST_PATH_IMAGE006
the output of the synchronous machine type power supply in the subarea,
Figure 970887DEST_PATH_IMAGE007
is the load within a partition;
Figure 885753DEST_PATH_IMAGE008
respectively representing the bus voltage and the frequency actual value;
Figure 750941DEST_PATH_IMAGE009
for conveyingThe actual value of the power is,
Figure 358640DEST_PATH_IMAGE010
the output value of the new energy is obtained;
Figure 676488DEST_PATH_IMAGE011
and
Figure 395046DEST_PATH_IMAGE012
respectively a lower limit value and an upper limit value of the node voltage;
Figure 852091DEST_PATH_IMAGE013
and
Figure 896270DEST_PATH_IMAGE014
respectively a lower limit value and an upper limit value of the system frequency;
Figure 435836DEST_PATH_IMAGE015
and
Figure 223663DEST_PATH_IMAGE016
respectively a lower limit value and an upper limit value of the transmission power;
Figure 532285DEST_PATH_IMAGE017
and
Figure 747365DEST_PATH_IMAGE018
respectively is the lower limit value and the upper limit value of the new energy output.
EXAMPLE III
In this embodiment, a PG & E69 node power distribution network is used to describe and verify the zoning effect of the present invention.
In the power distribution network structure shown in fig. 9, there are 4 large synchronous generator sets in the area, all of which are black start generator sets, and there is one large photovoltaic power generation station (new energy generator set), and the large photovoltaic power generation station is considered to be incorporated into a partition scheme of the power distribution network.
The distribution network information is shown in tables 1 and 2.
Figure 508648DEST_PATH_IMAGE083
In the algorithm initialization setting, the large iteration number is
Figure 834587DEST_PATH_IMAGE036
100, population number 100, simulated annealing initial temperature 500, annealing coefficient 0.95, probability setting of crossover and variation: 0.9 and 0.1.
Fig. 10 is a schematic diagram of the partitioning result of the distribution network according to the third embodiment of the present invention;
the power distribution network partition capacitance is as follows:
Figure 263294DEST_PATH_IMAGE084
synchronous generator sets G1 and G3 and a photovoltaic power station DG cooperate to operate according to a master-slave control strategy in the partition 1, namely G1 and G3 participate in voltage regulation and frequency modulation to provide voltage and frequency reference for the distributed photovoltaic power supply DG, so that the voltage and frequency of the system can be in a stable range, the system keeps stable operation, and the distributed photovoltaic power supply DG adopts a PQ control mode to realize constant control on power.
The process of dynamic partitioning is as follows:
1) when the output of photovoltaic power generation is reduced to half due to weather change (150 kW), the zoning result is shown in FIG. 11,
the loads of the nodes 16, 17, 18, 19, 20, 21, and 22 in the partition 1 cannot be restored, and the restoration area is reduced.
2) When the photovoltaic power generation output is increased by half due to weather change (450 kW), the zoning result is shown in figure 12,
the loads of the nodes 23, 24, 25, 26, and 27 are increased in the partition 1, the recovery area is increased, and the load amount is increased.
In conclusion, the randomness and the intermittence of the output of the new energy generator set are fully considered, the utilization rate of the new energy generator set is improved, and meanwhile the contradiction between the operation characteristic of the new energy generator set and the operation of a power grid is relieved.
The invention also provides a storage device, wherein a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor and executing the partitioning method for the multi-energy coordination based power distribution network fault recovery.
The storage device may be a computer-readable storage medium, and may include: ROM, RAM, magnetic or optical disks, and the like.
The present invention also provides a terminal, which may include:
a processor adapted to implement instructions; and a storage device adapted to store a plurality of instructions adapted to be loaded by the processor and to perform the partitioning method for multi-energy coordination based power distribution network fault recovery as described above.
The terminal can be any device capable of realizing the partitioning method for the fault recovery of the power distribution network based on multi-energy coordination, and the device can be various terminal devices, such as: desktop computers, portable computers, etc., may be implemented in software and/or hardware.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. In addition, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
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 (9)

1. The partitioning method for power distribution network fault recovery based on multi-energy cooperation is characterized by comprising the following steps: the method comprises the following steps:
s10, establishing a database of power supply information and load information in the distribution network area;
s20, partitioning the nodes of the power distribution network, wherein the formed partition types comprise: case 1: only load and no power supply exist in the region; case 2: only a new energy generator set or a non-black start generator set is arranged in the region; case 3: a synchronous generator set with black start capability exists in the region, and the power generated by the power supply is larger than the load amount, or the power shortage is smaller than the total three-level controllable load power; case 4: a synchronous generator set with black start capability exists in the region, the power generated by the power supply is smaller than the load, and the power shortage is larger than the total three-stage controllable load power;
s30, carrying out proper load cutting according to the importance degree of the load;
wherein, the power information base includes: the power type, the output variation corresponding to the power type, the bus voltage, the frequency and the black start type generator set; the power types include: the system comprises a synchronous generator set and a new energy generator set, wherein the new energy type power supply is defaulted to be a non-black starting type generator set; the load types include: first class load, second class load, third class load, controllable load and uncontrollable load.
2. The partition method for the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 1, wherein: further comprising:
s40, establishing constraint conditions to be met by regional operation; the constraint conditions comprise:
power balance:
Figure DEST_PATH_IMAGE001
formula (3-1)
Node voltage:
Figure 873837DEST_PATH_IMAGE002
formula (3-2)
System frequency:
Figure DEST_PATH_IMAGE003
formula (3-3)
Transmission power:
Figure 891471DEST_PATH_IMAGE004
formula (3-4)
New energy output:
Figure DEST_PATH_IMAGE005
formula (3-5)
Wherein the content of the first and second substances,
Figure 651617DEST_PATH_IMAGE006
the output of the synchronous machine type power supply in the subarea,
Figure DEST_PATH_IMAGE007
is the load within a partition;
Figure 354868DEST_PATH_IMAGE008
respectively representing the bus voltage and the frequency actual value;
Figure DEST_PATH_IMAGE009
for the actual value of the delivered power,
Figure 757031DEST_PATH_IMAGE010
the output value of the new energy is obtained;
Figure DEST_PATH_IMAGE011
and
Figure 629172DEST_PATH_IMAGE012
respectively a lower limit value and an upper limit value of the node voltage;
Figure DEST_PATH_IMAGE013
and
Figure 560219DEST_PATH_IMAGE014
respectively a lower limit value and an upper limit value of the system frequency;
Figure DEST_PATH_IMAGE015
and
Figure 252231DEST_PATH_IMAGE016
respectively a lower limit value and an upper limit value of the transmission power;
Figure DEST_PATH_IMAGE017
and
Figure 425462DEST_PATH_IMAGE018
respectively is the lower limit value and the upper limit value of the new energy output.
3. The partition method for the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 1, wherein: in step S20, the distribution network nodes are partitioned by an adaptive simulated annealing algorithm.
4. The method for partitioning the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 3, wherein: the partitioning of the power distribution network nodes through the adaptive simulated annealing algorithm specifically comprises the following steps:
s201, establishing an objective function, wherein the expression of the objective function is as follows:
Figure DEST_PATH_IMAGE019
formula (1)
Wherein the content of the first and second substances,
Figure 152109DEST_PATH_IMAGE020
and
Figure DEST_PATH_IMAGE021
the weight coefficients respectively represent the influence degrees of the load recovery quantity and the switch-off times on the objective function value;
Figure 519637DEST_PATH_IMAGE022
indicating whether the load is contained in the partitioned area, 1 indicating contained, and 0 indicating not contained;
Figure DEST_PATH_IMAGE023
indicating the degree of importance of the load;
Figure 964524DEST_PATH_IMAGE024
the number of switches of the power distribution network which are disconnected when an island is divided;
Figure DEST_PATH_IMAGE025
load of the ith node in the partition;
s202, constructing a fitness function according to the target function;
order to
Figure 675866DEST_PATH_IMAGE026
Indicating the amount of load within a single partition,
the fitness function has the expression:
Figure DEST_PATH_IMAGE027
formula (2)
Wherein the content of the first and second substances,
Figure 522599DEST_PATH_IMAGE028
is a penalty item;
Figure DEST_PATH_IMAGE029
is the power deficit value in the jth partition; j represents the number of partitions;
s203, partitioning according to the target function and the adaptive function, and finally forming a classification scheme as follows: case 1-Case 4;
s204, decoding the partition scheme to generate the partition scheme expressed by each switch state quantity in the region.
5. The method for partitioning the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 4, wherein: the step S30 specifically includes:
s301, judging whether the power output of the new energy generator set is changed, if so, executing the step S302, otherwise, executing the step S304;
s302, outputting the type, the node position and the processing change information of the power supply with changed output;
s303, correcting the power supply information in the database according to the information output in the step S302;
s304, the synchronous generator sets in the subareas and the new energy generator sets cooperate to recover the faults in a grid-connected operation mode;
s305 ends the failure recovery.
6. The method for partitioning the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 5, wherein: in step S304, the grid-connected operation mode includes:
s3041, if only synchronous generator sets exist in the subareas, the synchronous generator sets normally run to generate power according to the divided subareas;
s3042, if there are a synchronous generator set and a new energy generator set in the partition, the synchronous generator set serves as a main control power supply of the partition to provide a bus voltage and a frequency reference value for the new energy generator set, and the new energy generator set serves as a secondary control power supply to achieve constant output of power according to the bus voltage and frequency.
7. The method for partitioning the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 4, wherein: the step S202 includes: performing scale stretching on the target function, specifically:
s2021, increasing power shortage item
Figure 795449DEST_PATH_IMAGE030
Said
Figure 258791DEST_PATH_IMAGE030
The expression of (a) is:
Figure DEST_PATH_IMAGE031
formula (4)
Wherein the content of the first and second substances,
Figure 275289DEST_PATH_IMAGE030
representing the difference between the power supply power and the load within the partition,
Figure 507687DEST_PATH_IMAGE032
indicating the amount of load in each region after partitioning,
Figure DEST_PATH_IMAGE033
indicating the power generation amount of the power supply in each area;
s2022, judging the power supply and load information in the area, and pairing the power supply and the load information
Figure 715552DEST_PATH_IMAGE030
Carrying out assignment; the method specifically comprises the following steps:
s2022-1, when the area only contains a power supply or a load,
Figure 135032DEST_PATH_IMAGE034
or
Figure DEST_PATH_IMAGE035
；
S2022-2, when the power in the region meets the load requirement,
Figure 220800DEST_PATH_IMAGE030
is a number between 0 and-1;
s2022-3, when the power in the region is less than the load demand,
Figure 42125DEST_PATH_IMAGE030
is a number between 0 and 1;
in the case of step S2022-3, the partially controllable three-level load is cut off.
8. The method for partitioning the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 4, wherein: in step S203, partitioning according to the objective function and the adaptive function, specifically including:
s2031, generating power distribution network parameters and node empowerment information;
s2032, initializing algorithm parameters;
s2033, generating a primary population;
s2034, decoding the population individuals, and calculating individual fitness values;
s2035, self-adaptive selection and optimal retention strategy;
s2036, alternately simulating annealing operation;
s2037, performing mutation simulated annealing operation;
s2038, judging whether the iteration times are more than
Figure 719094DEST_PATH_IMAGE036
If yes, outputting the partition scheme, otherwise executing step S2039;
s2039, after the temperature decrease operation, step S2034 is continued.
9. The method for partitioning the fault recovery of the power distribution network based on the multi-energy coordination as claimed in claim 4, wherein: in step S204, decoding the partition scheme to generate a partition scheme expressed by each switch state quantity in the region, including:
s2041, generating a power distribution network node matrix;
s2042, modifying the node matrix according to the chromosome coding of the optimal solution of the adaptive simulated annealing algorithm;
s2043, selecting power source nodes which are not searched based on the modified node matrix;
s2044, searching for an adjacent node of the power supply node selected in step S2043;
s2045, triggered from the adjacent node in step S2044, searching again for an adjacent node that has not been searched for;
s2046, judging whether nodes which are not searched exist, if so, continuing to execute the step S2045, otherwise, executing the step S2047;
s2047, storing all the nodes searched for this time in an island node set;
s2048, judging whether all the nodes are searched, if yes, ending, otherwise, continuing to execute the step S2043.
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韩佳英: "含直流微网的配电网负荷恢复策略研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

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CN114665474A (en) * 2022-03-28 2022-06-24 南通电力设计院有限公司 Power transmission and distribution recovery method and system based on distributed power supply
CN114665474B (en) * 2022-03-28 2023-09-08 南通电力设计院有限公司 Power transmission and distribution recovery method and system based on distributed power supply
CN115395557A (en) * 2022-08-09 2022-11-25 武汉大学 Active power distribution network fault rapid recovery method based on directed graph traversal
CN115395557B (en) * 2022-08-09 2024-01-09 武汉大学 Active power distribution network fault quick recovery method based on directed graph traversal

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