A joint optimization method for distribution network planning and operation

Abstract

This invention relates to the field of power optimization technology, and discloses an integrated optimization method for distribution network planning and operation. The method includes constructing a combined distribution network, collecting comprehensive operating parameters, calculating the operational reliability coefficient, identifying the operating state of the combined distribution network, comparing the comprehensive operating parameters with corresponding out-of-limit standard values, identifying optimization parameters from the comprehensive operating parameters, and formulating optimization instructions based on the optimization parameters. Compared with existing technologies, this invention can connect various independent distribution networks together to construct a combined distribution network integrating planning and operation, accurately assess the operational reliability of the combined distribution network, and formulate corresponding optimization instructions based on abnormal phenomena. This ensures that the combined distribution network operates in a safe and stable state, avoids serious faults in the combined distribution network, and thus achieves the optimization effect of integrated planning and operation of the distribution network.

Description

Technical Field

[0001] This invention relates to the field of power optimization technology, and more specifically, to a method for integrated optimization of distribution network planning and operation. Background Technology

[0002] As an important component of the power system, the planning and operation of the distribution network directly affect the reliability, economy, and security of power supply. In recent years, the rise of smart grid technology has provided new opportunities for the optimization of the distribution network. By introducing advanced information and communication technologies and automation equipment, smart distribution networks can achieve real-time monitoring and data analysis, thereby improving their responsiveness to power demand.

[0003] The patent application with publication number CN115632405A discloses an integrated planning optimization method for power systems that considers incentive-based demand response. It embeds the demand response mechanism into the power system source-grid-load-storage collaborative planning model, forming an integrated planning model for power systems that considers incentive-based demand response. This model can effectively assess demand-side flexibility and response potential and take into account the impact of the response mechanism on grid planning, thereby reducing grid investment costs and providing technical support for power system planning problems involving demand response resources.

[0004] Existing methods for optimizing distribution network planning and operation calculate the operational reliability of each distribution network by collecting its operating parameters separately, and then evaluate the overall reliability of the distribution network by analyzing the operational reliability of each distribution network. This optimization approach leads to the problem that the data between each distribution network are independent of each other, resulting in an unreasonable allocation of various resources in the distribution network. Consequently, it is impossible to evaluate and optimize the operation status of the distribution network from a holistic macro perspective of planning and operation, thus reducing the safety and reliability of the distribution network system.

[0005] In view of this, the present invention proposes a joint optimization method for distribution network planning and operation to solve the above problems. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art and to achieve the above objectives, the present invention provides the following technical solution: a combined optimization method for distribution network planning and operation, applied to a distribution network management and control platform, comprising:

[0007] S1: Obtain the planning strategy of the distribution network, extract planning features from the planning strategy, and construct the joint distribution network. The planning features include load features, line features, and cycle features.

[0008] S2: Collect comprehensive operating parameters of the combined distribution network under operating conditions, and calculate the operating reliability coefficient based on the comprehensive operating parameters. The comprehensive operating parameters include defense trigger frequency, load shortage ratio and effective response ratio.

[0009] S3: Compare the operating reliability coefficient with the preset operating reliability threshold to identify the operating status of the joint distribution network and determine whether to switch the joint optimization mode; if the joint optimization mode is switched, execute S4; if the joint optimization mode is not switched, repeat S2-S3.

[0010] S4: Compare the comprehensive operating parameters with the corresponding out-of-limit standard values, and identify the optimized parameters from the comprehensive operating parameters based on the comparison results;

[0011] S5: Formulate optimization instructions based on optimization parameters, and execute the optimization instructions in an orderly manner based on execution priority.

[0012] Furthermore, methods for extracting load characteristics, line characteristics, and periodic characteristics include:

[0013] The planning data packets of i distribution networks are retrieved from the distribution network management and control platform, and each i planning data packet is split into c sub-data packets.

[0014] Identify the annotation words of each of the c sub-data packets one by one, and denote the sub-data packets whose annotation words are strategies as planning strategies, thereby obtaining i planning strategies;

[0015] The key semantics of each of the i planning strategies are identified one by one using natural language processing technology, and the keywords in the key semantics are marked.

[0016] Load, usage, and supply are denoted as load standard words, and the key semantics containing the load standard words are denoted as load features, thus obtaining i load features;

[0017] The route, path, and distribution are denoted as route standard words, and the key semantics of keywords containing route standard words are denoted as route features, thus obtaining i route features;

[0018] The period, duration, and time are denoted as periodic standard words, and the key semantics of keywords containing periodic standard words are denoted as periodic features, thus obtaining i periodic features.

[0019] Furthermore, methods for constructing integrated distribution networks include:

[0020] The average failure rate of each of the i distribution networks within a statistical period is obtained by querying the database one by one;

[0021] Arrange the i distribution networks sequentially according to the average failure rate from small to large, and establish an association channel between two adjacent distribution networks to generate the initial distribution network;

[0022] Three independent parameter boxes are constructed at the parameter end of the initial distribution network, denoted as load parameter box, line parameter box and period parameter box;

[0023] The i load characteristics, i line characteristics, and i period characteristics are summarized to form load parameter packages, line parameter packages, and period parameter packages, respectively.

[0024] Import the load parameter package, line parameter package, and period parameter package into the load parameter box, line parameter box, and period parameter box of the initial distribution network, respectively, to construct the combined distribution network.

[0025] Furthermore, methods for obtaining the defense trigger frequency include:

[0026] The time when the joint distribution network first generated an access log was retrieved using the timestamp, and recorded as the start time.

[0027] When no more access logs are generated within the preset time period, the time when the last access log was generated will be recorded as the end time.

[0028] The duration from the start time to the end time is recorded as the security defense duration, and all access logs within the security defense duration are counted to obtain k access logs;

[0029] Mark the generation time of each of the k access logs, and then filter out the k security defense logs that correspond to the generation time of the k access logs from the security defense system.

[0030] Query the defense status of k security defense logs one by one, and record the security defense logs with the defense status of triggered as security trigger logs;

[0031] The number of security trigger logs is counted, and the number of security trigger logs is compared with the security defense duration to obtain the defense trigger frequency;

[0032] The expression for the defense trigger frequency is:

[0033]

[0034] In the formula, FY cf To defend against trigger frequency, SL cf To determine the number of security trigger logs, SC fy Duration of security defense.

[0035] Furthermore, methods for obtaining the load shortage percentage include:

[0036] Mark the load users on each of the m power supply lines in the combined distribution network to obtain the m power load terminals;

[0037] By querying the n historical loads of m electrical load terminals one by one through the load management system, and marking the load time corresponding to each of the n historical loads, n load times are obtained.

[0038] By sequentially querying the power supply load of the output terminals of m power supply lines at n load times using the technical parameter table, n output loads can be obtained.

[0039] Compare the size of each of the n output loads with the size of the n historical loads, record the output loads that are smaller than the historical loads as the target loads, and count the number of target loads on the m power supply lines to obtain the m load quantity values;

[0040] Power supply lines with load values ​​greater than half of the historical total load value are recorded as load shortage lines, and the number of load shortage lines is counted.

[0041] The load shortage ratio is obtained by comparing the number of lines with the number of power supply lines.

[0042] The expression for the load shortage ratio is:

[0043]

[0044] In the formula, FH dq SL represents the percentage of load shortage. dq denoted as the number of lines with load shortage, and m as the number of power supply lines.

[0045] Furthermore, methods for obtaining the effective response ratio include:

[0046] A1: At the same time, response test commands are input to m power supply lines through the power distribution network management and control platform;

[0047] A2: After the preset response period, receive the processed response test command at the power load end of each of the m power supply lines, and mark the attribute status of the processed response test command.

[0048] A3: Record the processed response test command with the attribute status of "processed" as a valid response command, and record the power supply line corresponding to the valid response command as a valid line;

[0049] A4: Count the number of valid lines and compare the number of valid lines with the number of power supply lines to obtain the sub-proportion value;

[0050] A5: Repeat the above steps A1-A4 W times to obtain W sub-proportion values;

[0051] The expression for the sub-proportion value is:

[0052]

[0053] In the formula, ZB zw For the w-th sub-proportion value, SL yxw Let w be the number of valid lines;

[0054] A6: Sum the W sub-proportion values ​​one by one and then average them to obtain the effective response proportion value;

[0055] The expression for the percentage of effective responses is:

[0056]

[0057] In the formula, YX xy To effectively respond to the percentage value, ZB za This represents the percentage of the a-th sub-sub.

[0058] Furthermore, the expression for the operational reliability coefficient is:

[0059]

[0060] In the formula, KK XS For the operational reliability coefficients, σ1 and σ z σ3 is a weighting factor greater than 0;

[0061] Operating status includes normal status and abnormal status;

[0062] Methods for identifying normal and abnormal states include:

[0063] The operational reliability coefficient KK xs Compared with the preset operational reliability threshold KK yz Compare;

[0064] When KK xs Greater than or equal to KK yz At that time, the operating status of the combined distribution network will be identified as normal.

[0065] When KK XS Less than KK yz At that time, the operating status of the combined distribution network will be identified as an abnormal state.

[0066] Furthermore, the methods for determining whether to switch the joint optimization mode include:

[0067] When the operating status of the joint distribution network is normal, it is determined that the joint optimization mode will not be switched.

[0068] When the operating status of the joint distribution network is abnormal, the joint optimization mode is switched.

[0069] Furthermore, methods for identifying optimization parameters include:

[0070] The difference between the defense trigger frequency and the preset defense trigger standard value is then compared with the defense trigger frequency to obtain the defense trigger over-limit value.

[0071] The expression for triggering the over-limit value is:

[0072]

[0073] In the formula, FY CX To defend against triggering the overlimit value, FY bz This is the preset defense trigger standard value;

[0074] When the defense triggering limit value exceeds the defense triggering standard value, the defense triggering frequency is identified as an optimization parameter;

[0075] The load shortage percentage is subtracted from the preset load shortage standard value and then compared with the load shortage percentage to obtain the load shortage excess value.

[0076] The expression for the load shortage over-limit value is:

[0077]

[0078] In the formula, FH CX For load shortage exceeding the limit, FH bz The preset load shortage standard value;

[0079] When the load shortage exceeds the standard value, the load shortage percentage is identified as an optimization parameter.

[0080] The effective response percentage is subtracted from the preset effective response standard value and then compared with the effective response percentage to obtain the effective response excess value.

[0081] The expression for the effective response exceeding the limit is:

[0082]

[0083] In the formula, YX CX To effectively respond to exceeding limits, YX bz The preset effective response standard value;

[0084] When the effective response exceedance value is less than the effective exceedance standard value, the effective response ratio is identified as the optimization parameter.

[0085] Furthermore, the optimization instructions include instructions to reduce the frequency of defense triggering, instructions to reduce the proportion of load shortage, and instructions to increase the proportion of effective response.

[0086] The methods for formulating commands to reduce the frequency of defense triggering, reduce the proportion of load shortage, and increase the proportion of effective response include:

[0087] When the optimization parameter is the defense trigger frequency, an instruction to reduce the defense trigger frequency is formulated.

[0088] When the optimization parameter is the load shortage percentage, an instruction to reduce the load shortage percentage is issued.

[0089] When the optimization parameter is the effective response percentage, an instruction is given to increase the effective response percentage.

[0090] The execution priority is as follows: commands that reduce the frequency of defense triggering have the highest priority, commands that reduce the proportion of load shortage have the highest priority, and commands that increase the proportion of effective response have the highest priority.

[0091] The technical effects and advantages of the integrated optimization method for power distribution network planning and operation proposed in this invention are as follows:

[0092] This invention acquires the planning strategy of the distribution network, extracts planning features from the planning strategy, constructs a joint distribution network, collects comprehensive operating parameters of the joint distribution network under its operating state, calculates the operating reliability coefficient based on the comprehensive operating parameters, compares the operating reliability coefficient with a preset operating reliability threshold to identify the operating state of the joint distribution network, and determines whether to switch to a joint optimization mode. It also compares the comprehensive operating parameters with corresponding out-of-limit standard values, identifies optimization parameters from the comprehensive operating parameters based on the comparison results, formulates optimization instructions based on the optimization parameters, and executes the optimization instructions in an orderly manner based on execution priority. Compared with existing technologies, this invention extracts the planning features of the distribution network... It can connect various independent distribution networks to form an integrated system architecture, constructing a unified distribution network for planning and operation. By collecting comprehensive operating parameters of the unified distribution network, it can accurately calculate the operational reliability coefficient, thereby accurately assessing the operational reliability of the unified distribution network. It can also promptly and accurately detect anomalies in the unified distribution network and formulate corresponding optimization instructions based on these anomalies, ensuring that the unified distribution network operates in a safe and stable state and avoiding serious faults. This achieves the optimization effect of integrated planning and operation of the distribution network, effectively guaranteeing the safety and reliability of the distribution network system. Attached Figure Description

[0093] Figure 1 This is a flowchart illustrating a method for integrated optimization of power distribution network planning and operation provided in Embodiment 1 of the present invention.

[0094] Figure 2This is a schematic diagram of a power distribution network planning and operation integrated optimization system provided in Embodiment 2 of the present invention. Detailed Implementation

[0095] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0096] Example 1: Please refer to Figure 1 As shown in this embodiment, a combined optimization method for distribution network planning and operation is applied to a distribution network management and control platform, including:

[0097] S1: Obtain the planning strategy of the distribution network, extract planning features from the planning strategy, and construct the joint distribution network;

[0098] Planning strategy refers to the specific schemes that each distribution network pre-formulates and plans in order to build a joint distribution network. It can represent the actual planning ideas and measures of each distribution network as a whole, so as to accurately distinguish each distribution network and ensure the independence of each distribution network in the process of building a joint distribution network.

[0099] Planning features refer to features that can concisely and accurately represent complex and lengthy planning strategies, and serve as the basis for subsequent construction of integrated distribution networks, ensuring the accuracy of subsequent integrated distribution network construction;

[0100] Planning characteristics include load characteristics, line characteristics, and cycle characteristics; load characteristics are used to represent load data in the planning strategy of the distribution network, line characteristics are used to represent line data in the planning strategy of the distribution network, and cycle characteristics are used to represent cycle data in the planning strategy of the distribution network.

[0101] Methods for extracting load characteristics, line characteristics, and periodic characteristics include:

[0102] The planning data packets of i distribution networks are retrieved from the distribution network management platform, and each i planning data packet is split into c sub-data packets. The planning data packet is used to represent the overall planning strategies of different types in the distribution network, while the sub-data packet is the smallest unit that constitutes the planning data packet and is used as the direct object for identifying the planning strategy.

[0103] Identify the annotation words of each of the c sub-data packets one by one, and denote the sub-data packets whose annotation words are strategies as planning strategies, thereby obtaining i planning strategies; the annotation words are used to directly represent the planning schemes represented in the sub-data packets and serve as the basis for identifying and judging the planning strategies.

[0104] The key semantics of each of the i planning strategies are identified one by one using natural language processing technology, and the keywords in the key semantics are marked.

[0105] Load, usage, and supply are denoted as load standard words, and the key semantics containing the load standard words are denoted as load features, thus obtaining i load features;

[0106] The route, path, and distribution are denoted as route standard words, and the key semantics of keywords containing route standard words are denoted as route features, thus obtaining i route features;

[0107] The period, duration, and time are denoted as periodic standard words, and the key semantics of keywords containing periodic standard words are denoted as periodic features, thus obtaining i periodic features.

[0108] Once the load characteristics, line characteristics, and cycle characteristics are extracted, a combined distribution network can be constructed based on these characteristics. This allows the combined distribution network to integrate and coordinate i distribution networks, thereby enabling i distribution networks to form a unified distribution network system.

[0109] Methods for constructing integrated distribution networks include:

[0110] The average failure rate of each of the i distribution networks within a statistical period is obtained by querying the database one by one;

[0111] Arrange the i distribution networks sequentially according to the average failure rate from small to large, and establish an association channel between two adjacent distribution networks to generate the initial distribution network;

[0112] Three independent parameter boxes are constructed at the parameter end of the initial distribution network, denoted as load parameter box, line parameter box and cycle parameter box. The parameter end refers to the port on the initial distribution network used to import specific parameters to ensure the accurate import of specific parameters. The independent parameter box structure can ensure the relative independence of each imported parameter and prevent the imported parameters from being confused with each other.

[0113] The i load characteristics, i line characteristics, and i period characteristics are summarized to form load parameter packages, line parameter packages, and period parameter packages, respectively.

[0114] Import the load parameter package, line parameter package, and period parameter package into the load parameter box, line parameter box, and period parameter box of the initial distribution network, respectively, to construct the combined distribution network.

[0115] It should be noted that once a combined distribution network is constructed, it enables the overall connection of i independent distribution networks, allowing them to form an integrated structure, which facilitates subsequent integrated optimization and control of the distribution network.

[0116] S2: Collect comprehensive operating parameters of the combined distribution network under operating conditions, and calculate the operating reliability coefficient based on the comprehensive operating parameters;

[0117] Comprehensive operating parameters refer to the ability to fully represent the various operating parameters of a combined distribution network under operating conditions, thereby enabling data representation of the actual operating state of the combined distribution network and serving as the data basis for subsequent judgment of the operational reliability of the combined distribution network;

[0118] Comprehensive operating parameters include defense trigger frequency, load shortage ratio, and effective response ratio;

[0119] Defense trigger frequency refers to the number of times the security defense system is triggered per unit time in the operation state of the combined distribution network. It can be used to numerically represent the security performance of the operation state of the combined distribution network. The higher the defense trigger frequency, the more times the security defense system is triggered per unit time in the operation state of the combined distribution network. In this case, the operation reliability of the combined distribution network is worse and the operation reliability coefficient is smaller.

[0120] Methods for obtaining the defense trigger frequency include:

[0121] The time when the joint distribution network first generated an access log was retrieved using the timestamp, and recorded as the start time.

[0122] When no more access logs are generated within the preset time period, the time of the last access log generated is recorded as the end time. The preset time period is used to represent the maximum time between the generation of two adjacent access logs, thereby limiting the time span of statistical analysis of access logs and avoiding the phenomenon of too many or too few access logs in the statistical analysis.

[0123] The duration from the start time to the end time is recorded as the security defense duration, and all access logs within the security defense duration are counted to obtain k access logs;

[0124] Mark the generation time of each of the k access logs, and then filter out the k security defense logs that correspond to the generation time of the k access logs from the security defense system.

[0125] The defense status of k security defense logs is retrieved one by one, and the security defense logs with the defense status of triggered are recorded as security triggered logs. The defense status is used to represent the status of the security defense logs, including triggered status and non-triggered status, so that different defense statuses correspond to different security defense logs.

[0126] The number of security trigger logs is counted, and the number of security trigger logs is compared with the security defense duration to obtain the defense trigger frequency;

[0127] The expression for the defense trigger frequency is:

[0128]

[0129] In the formula, FY Cf To defend against trigger frequency, SL Cf To determine the number of security trigger logs, SC fy Duration of security defense.

[0130] The load shortage ratio refers to the proportion of the number of power supply shortages in a combined distribution network during operation to the total power supply. It can be used to numerically represent the load performance of the combined distribution network during operation. The larger the load shortage ratio, the greater the proportion of the number of power supply shortages in the combined distribution network during operation to the total power supply. In this case, the operation reliability of the combined distribution network is worse and the operation reliability coefficient is smaller.

[0131] Methods for obtaining the load shortage percentage include:

[0132] Mark the load users on each of the m power supply lines in the combined distribution network to obtain the m power load terminals;

[0133] By querying the n historical loads of m electrical load terminals one by one through the load management system, and marking the load time corresponding to each of the n historical loads, n load times are obtained.

[0134] By sequentially querying the power supply load of the output terminals of m power supply lines at n load times using the technical parameter table, n output loads can be obtained.

[0135] Compare the size of each of the n output loads with the size of the n historical loads, record the output loads that are smaller than the historical loads as the target loads, and count the number of target loads on the m power supply lines to obtain the m load quantity values;

[0136] Power supply lines with load values ​​greater than half of the historical total load value are recorded as load shortage lines, and the number of load shortage lines is counted.

[0137] The load shortage ratio is obtained by comparing the number of lines with the number of power supply lines.

[0138] The expression for the load shortage ratio is:

[0139]

[0140] In the formula, FH dq SL represents the percentage of load shortage. dq denoted as the number of lines with load shortage, and m as the number of power supply lines.

[0141] The effective response ratio refers to the proportion of effective response time to the total number of responses in a combined distribution network under operating conditions. It can be used to numerically represent the response performance of the combined distribution network under operating conditions. The larger the effective response ratio, the greater the proportion of effective response time to the total number of responses in the combined distribution network under operating conditions, and the better the operational reliability and the higher the operational reliability coefficient of the combined distribution network.

[0142] Methods for obtaining the effective response percentage include:

[0143] A1: At the same time, response test commands are input to m power supply lines through the power distribution network management and control platform;

[0144] A2: After the preset response period, receive the processed response test command at the power load end of each of the m power supply lines, and mark the attribute status of the processed response test command; the preset response period refers to the maximum duration corresponding to one complete processing of the response test command, and is used as the basis for statistical analysis of the duration of the processed response test command at the power load end.

[0145] A3: Record the processed response test command with the attribute status of "processed" as a valid response command, and record the power supply line corresponding to the valid response command as a valid line; the attribute status is used to indicate whether the response test command has been processed, and the attribute status includes processed status and unprocessed status.

[0146] A4: Count the number of valid lines and compare the number of valid lines with the number of power supply lines to obtain the sub-proportion value;

[0147] A5: Repeat the above steps A1-A4 w times to obtain w sub-proportion values;

[0148] The expression for the sub-proportion value is:

[0149]

[0150] In the formula, ZB zw For the w-th sub-proportion value, SL yxw Let w be the number of valid lines;

[0151] A6: Sum the w sub-proportion values ​​one by one and then average them to obtain the effective response proportion value;

[0152] The expression for the percentage of effective responses is:

[0153]

[0154] In the formula, YX xy To effectively respond to the percentage value, ZB za This represents the percentage of the a-th sub-sub.

[0155] Once the defense trigger frequency, load shortage ratio, and effective response ratio are obtained, the operating data reflecting the reliability of the joint distribution network can be calculated based on these data, which is the operating reliability coefficient. This operating reliability coefficient can then be used as a basis for judging the quality of the joint distribution network's operation.

[0156] The expression for the operational reliability coefficient is:

[0157]

[0158] In the formula, KK xs The operational reliability coefficient is defined by σ1, σ2, and σ3, which are weighting factors greater than 0.

[0159] Where σ1+σ2+σ3=1, for example, σ1 is 0.36, σ2 is 0.33, and σ3 is 0.31.

[0160] S3: Compare the operating reliability coefficient with the preset operating reliability threshold to identify the operating status of the joint distribution network and determine whether to switch the joint optimization mode;

[0161] Once the operational reliability coefficient is calculated, the operational status of the combined distribution network can be evaluated and analyzed based on the magnitude of the operational reliability coefficient, thereby identifying the operational status of the combined distribution network. The operational status is identified based on the actual obtained defense trigger frequency, load shortage ratio, and effective response ratio, which serves as the basis for subsequent integrated optimization of the combined distribution network.

[0162] Operating status includes normal status and abnormal status; normal status means that the operating status of the combined distribution network is good and there are no abnormal phenomena, while abnormal status means that the operating status of the combined distribution network is poor and abnormal phenomena have occurred.

[0163] Methods for identifying normal and abnormal states include:

[0164] The operational reliability coefficient KK xs Compared with the preset operational reliability threshold KK yzComparison; The preset operational reliability threshold refers to the minimum operational reliability coefficient when there are no abnormal phenomena in the operation status of the combined distribution network, which can distinguish the real-time operational reliability coefficient; The preset operational reliability threshold is obtained by collecting a large number of minimum operational reliability coefficients when there are no abnormal phenomena in the operation status of the combined distribution network and then calculating their average value;

[0165] When KK xs Greater than or equal to KK yz When the operating reliability coefficient is greater than or equal to the preset operating reliability threshold, it indicates that the operating status of the combined distribution network is good, and the normal state is identified.

[0166] When KK xs Less than KK yz If the operating reliability coefficient is less than the preset operating reliability threshold, it indicates that the operating status of the combined distribution network is poor, and an abnormal state is identified.

[0167] Joint optimization mode refers to the optimization mode switched when abnormal phenomena occur in the joint distribution network in order to optimize and improve the operation status of the joint distribution network. It can ensure that the joint distribution network can be planned and operated in an integrated optimization mode.

[0168] The methods for determining whether to switch joint optimization modes include:

[0169] When the joint distribution network is in normal operation, no optimization processing is required, and it is determined that the joint optimization mode will not be switched.

[0170] When the operating status of the combined distribution network is abnormal, it is necessary to optimize the combined distribution network, and then it is determined to switch to the combined optimization mode.

[0171] S4: Compare the comprehensive operating parameters with the corresponding out-of-limit standard values, and identify the optimized parameters from the comprehensive operating parameters based on the comparison results;

[0172] When the joint optimization mode is triggered, one or more parameters in the comprehensive operating parameters of the joint distribution network will appear, which will cause the operating status of the joint distribution network to deteriorate. These are the optimization parameters. Therefore, it is necessary to accurately identify the optimization parameters so that they can be used as the specific objects for subsequent optimization measures.

[0173] Methods for identifying optimization parameters include:

[0174] The difference between the defense trigger frequency and the preset defense trigger standard value is compared with the defense trigger frequency to obtain the defense trigger over-limit value. The defense trigger standard value refers to the maximum value of the defense trigger frequency when there are no abnormal phenomena in the operation of the combined distribution network, and thus serves as the basis for subsequent calculation of the defense trigger over-limit value.

[0175] The expression for triggering the over-limit value is:

[0176]

[0177] In the formula, FY CX To defend against triggering the overlimit value, FY bz This is the preset defense trigger standard value;

[0178] When the defense triggering limit value is greater than the defense triggering standard value, it indicates that the defense triggering limit value will cause an abnormal phenomenon in the operation of the combined distribution network. In this case, the defense triggering frequency is identified as an optimized parameter. The defense triggering standard value refers to the maximum value of the defense triggering limit value when there is no abnormal phenomenon in the operation of the combined distribution network. It is used to determine whether the defense triggering frequency is an optimized parameter.

[0179] The load shortage ratio is subtracted from the preset load shortage standard value and then compared with the load shortage ratio to obtain the load shortage excess value. The load shortage standard value refers to the maximum value of the load shortage ratio when there are no abnormalities in the operation of the combined distribution network, and thus serves as the basis for subsequent calculation of the load shortage excess value.

[0180] The expression for the load shortage over-limit value is:

[0181]

[0182] In the formula, FH CX For load shortage exceeding the limit, FH bz The preset load shortage standard value;

[0183] When the load shortage exceeding the limit is greater than the load exceeding the standard value, it indicates that the current load shortage ratio will cause an abnormal phenomenon in the operation of the combined distribution network. In this case, the load shortage ratio is identified as an optimization parameter. The load exceeding the standard value refers to the maximum value of the load shortage exceeding the limit when there is no abnormal phenomenon in the operation of the combined distribution network. It is used to determine whether the load shortage ratio is an optimization parameter.

[0184] The effective response ratio is subtracted from the preset effective response standard value and then compared with the effective response ratio to obtain the effective response exceedance value. The effective response standard value refers to the minimum effective response ratio value when there are no abnormal phenomena in the operation of the combined distribution network, and thus serves as the basis for subsequent calculation of the effective response exceedance value.

[0185] The expression for the effective response exceeding the limit is:

[0186]

[0187] In the formula, FH CX To effectively respond to exceeding limits, YX bz The preset effective response standard value;

[0188] When the effective response exceedance value is less than the effective exceedance standard value, it indicates that the effective response ratio at this time will cause an abnormal phenomenon in the operation of the combined distribution network. In this case, the effective response ratio value is identified as an optimization parameter. The effective exceedance standard value refers to the minimum effective response exceedance value when there is no abnormal phenomenon in the operation of the combined distribution network. It is used to determine whether the effective response ratio value is an optimization parameter.

[0189] S5: Formulate optimization instructions based on optimization parameters, and execute the optimization instructions in an orderly manner based on execution priority;

[0190] Optimization instructions are specific instructions formulated based on the identified optimization parameters to optimize the operation of the combined distribution network and provide guidance information for subsequent optimization measures of the combined distribution network.

[0191] Optimization commands include commands to reduce defense trigger frequency, commands to reduce the load shortage ratio, and commands to increase the effective response ratio.

[0192] The methods for formulating commands to reduce the frequency of defense triggering, reduce the proportion of load shortage, and increase the proportion of effective response include:

[0193] When the optimization parameter is the defense trigger frequency, it is necessary to optimize the security performance of the combined distribution network, and then formulate an instruction to reduce the defense trigger frequency.

[0194] When the optimization parameter is the load shortage ratio, it is necessary to optimize the load performance of the combined distribution network, and then formulate an instruction to reduce the load shortage ratio.

[0195] When the optimization parameter is the effective response ratio, it is necessary to optimize the response performance of the combined distribution network, so an instruction to increase the effective response ratio is formulated.

[0196] When two or three specific optimization instructions are formulated at the same time, the multiple optimization instructions need to be arranged in an orderly manner to ensure that the multiple optimization instructions can be implemented in an orderly manner, thereby ensuring an integrated optimization effect on the planning and operation of the combined distribution network.

[0197] Since the defense triggering frequency directly affects the security performance of the combined distribution network, the execution priority of the defense triggering frequency is the highest. The effective response ratio value is used to represent the response time and does not directly affect the security performance of the combined distribution network. Therefore, the execution priority of the effective response ratio value is the lowest.

[0198] In summary, the execution priority is as follows: the instruction to reduce the frequency of defense triggering has the highest priority, the instruction to reduce the proportion of load shortage has the second highest priority, and the instruction to increase the proportion of effective response has the third highest priority.

[0199] It should be noted that once the execution priority of the optimization instructions is determined, the relevant parameters in the combined distribution network can be optimized and adjusted in an integrated manner according to the specific optimization instructions and execution priority, so that the operating status of the combined distribution network can be improved until the operating status of the combined distribution network is normal.

[0200] In this embodiment, by acquiring the planning strategy of the distribution network, extracting planning features from the planning strategy, and constructing a joint distribution network, the comprehensive operating parameters of the joint distribution network under its operating state are collected. Based on the comprehensive operating parameters, the operating reliability coefficient is calculated. The operating reliability coefficient is compared with a preset operating reliability threshold to identify the operating state of the joint distribution network and determine whether to switch to a joint optimization mode. The comprehensive operating parameters are compared with the corresponding out-of-limit standard values, and based on the comparison results, optimization parameters are identified from the comprehensive operating parameters. Optimization instructions are formulated based on the optimization parameters, and the optimization instructions are executed in an orderly manner based on execution priority. Compared with the prior art, by extracting the planning features of the distribution network... This system can connect various independent distribution networks to form an integrated system architecture, constructing a unified distribution network for planning and operation. By collecting comprehensive operating parameters of the unified distribution network, it can accurately calculate the operational reliability coefficient, thereby accurately assessing and judging the operational reliability of the unified distribution network. It can also promptly and accurately detect abnormal phenomena in the unified distribution network and formulate corresponding optimization instructions based on these abnormal phenomena, ensuring that the unified distribution network operates in a safe and stable state and avoiding serious faults. This achieves the optimization effect of integrated planning and operation of the distribution network, effectively guaranteeing the safety and reliability of the distribution network system.

[0201] Example 2: Please refer to Figure 2 As shown, the parts not described in detail in this embodiment are described in Embodiment 1. A distribution network planning and operation integrated optimization system is provided, which is applied to the distribution network management and control platform to implement a distribution network planning and operation integrated optimization method. The system includes a distribution network construction module, a coefficient calculation module, a mode switching module, a comparison and identification module, and an instruction formulation module. The modules are connected to each other through wired or wireless networks.

[0202] The distribution network construction module is used to obtain the planning strategy of the distribution network, extract planning features from the planning strategy, and construct the joint distribution network. The planning features include load features, line features, and cycle features.

[0203] The coefficient calculation module is used to collect the comprehensive operating parameters of the combined distribution network under operating conditions, and calculate the operating reliability coefficient based on the comprehensive operating parameters. The comprehensive operating parameters include the defense trigger frequency, the load shortage ratio, and the effective response ratio.

[0204] The mode switching module is used to compare the operating reliability coefficient with the preset operating reliability threshold, identify the operating status of the joint distribution network, and determine whether to switch the joint optimization mode.

[0205] The comparison and identification module is used to compare the comprehensive operating parameters with the corresponding out-of-limit standard values, and to identify the optimized parameters from the comprehensive operating parameters based on the comparison results.

[0206] The instruction formulation module is used to formulate optimization instructions based on optimization parameters and execute the optimization instructions in an orderly manner based on execution priority.

[0207] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be covered by the scope of protection of the present invention.

Claims

1. A combined optimization method for distribution network planning and operation, applied to a distribution network management and control platform, characterized in that, include: S1: Obtain the planning strategy of the distribution network, extract planning features from the planning strategy, and construct the joint distribution network. The planning features include load features, line features, and cycle features. Methods for extracting load characteristics, line characteristics, and periodic characteristics include: The planning data packets of i distribution networks are retrieved from the distribution network management and control platform, and each i planning data packet is split into c sub-data packets. Identify the annotation words of each of the c sub-data packets one by one, and denote the sub-data packets whose annotation words are strategies as planning strategies, thereby obtaining i planning strategies; The key semantics of each of the i planning strategies are identified one by one using natural language processing technology, and the keywords in the key semantics are marked. Load, usage, and supply are denoted as load standard words, and the key semantics containing the load standard words are denoted as load features, thus obtaining i load features; The route, path, and distribution are denoted as route standard words, and the key semantics of keywords containing route standard words are denoted as route features, thus obtaining i route features; The period, duration, and time are denoted as periodic standard words, and the key semantics of keywords containing periodic standard words are denoted as periodic features, thus obtaining i periodic features; A unified distribution network can connect i independent distribution networks as a whole, enabling i independent distribution networks to form an integrated structure. Methods for constructing integrated distribution networks include: The average failure rate of each of the i distribution networks within a statistical period is obtained by querying the database one by one; Arrange the i distribution networks sequentially according to the average failure rate from small to large, and establish the connection channel between two adjacent distribution networks to generate the initial distribution network; Three independent parameter boxes are constructed at the parameter end of the initial distribution network, denoted as load parameter box, line parameter box and period parameter box; The i load characteristics, i line characteristics, and i period characteristics are summarized to form load parameter packages, line parameter packages, and period parameter packages, respectively. Import the load parameter package, line parameter package, and period parameter package into the load parameter box, line parameter box, and period parameter box of the initial distribution network, respectively, to construct the joint distribution network; S2: Collect comprehensive operating parameters of the combined distribution network under operating conditions, and calculate the operating reliability coefficient based on the comprehensive operating parameters. The comprehensive operating parameters include defense trigger frequency, load shortage ratio and effective response ratio. Methods for obtaining the defense trigger frequency include: The time when the joint distribution network first generated an access log was retrieved using the timestamp, and recorded as the start time. When no more access logs are generated within the preset time period, the time when the last access log was generated will be recorded as the end time. The duration from the start time to the end time is recorded as the security defense duration, and all access logs within the security defense duration are counted to obtain k access logs; Mark the generation time of each of the k access logs, and then filter out the k security defense logs that correspond to the generation time of the k access logs from the security defense system. Query the defense status of k security defense logs one by one, and record the security defense logs with the defense status of triggered as security trigger logs; The number of security trigger logs is counted, and the number of security trigger logs is compared with the security defense duration to obtain the defense trigger frequency; The expression for the defense trigger frequency is: ; In the formula, To defend against triggering frequency, To determine the number of log triggers for safety, For security defense duration; S3: Compare the operating reliability coefficient with the preset operating reliability threshold to identify the operating status of the joint distribution network and determine whether to switch the joint optimization mode; if the joint optimization mode is switched, execute S4; if the joint optimization mode is not switched, repeat S2-S3. S4: Compare the comprehensive operating parameters with the corresponding out-of-limit standard values, and identify the optimized parameters from the comprehensive operating parameters based on the comparison results; Methods for identifying optimization parameters include: The difference between the defense trigger frequency and the preset defense trigger standard value is then compared with the defense trigger frequency to obtain the defense trigger over-limit value. The expression for triggering the over-limit value is: ； In the formula, To prevent triggering of excessive limits, This is the preset defense trigger standard value; When the defense triggering limit value exceeds the defense triggering standard value, the defense triggering frequency is identified as an optimization parameter; The load shortage percentage is subtracted from the preset load shortage standard value and then compared with the load shortage percentage to obtain the load shortage excess value. The expression for the load shortage over-limit value is: ； In the formula, For load shortage exceeding the limit, The preset load shortage standard value; When the load shortage exceeds the standard value, the load shortage percentage is identified as an optimization parameter. The effective response percentage is subtracted from the preset effective response standard value and then compared with the effective response percentage to obtain the effective response excess value. The expression for the effective response exceeding the limit is: ； In the formula, In order to effectively respond to exceeding the limit, The preset effective response standard value; When the effective response exceedance value is less than the effective exceedance standard value, the effective response percentage value is identified as the optimization parameter. S5: Formulate optimization instructions based on optimization parameters, and execute the optimization instructions in an orderly manner based on execution priority; The method for obtaining the load shortage percentage includes: Mark the load users on each of the m power supply lines in the combined distribution network to obtain the m power load terminals; By querying the n historical loads of m electrical load terminals one by one through the load management system, and marking the load time corresponding to each of the n historical loads, n load times are obtained. By sequentially querying the power supply load of the output terminals of m power supply lines at n load times using the technical parameter table, n output loads can be obtained. Compare the size of each of the n output loads with the size of the n historical loads, record the output loads that are smaller than the historical loads as the target loads, and count the number of target loads on the m power supply lines to obtain the m load quantity values; Power supply lines with load values ​​greater than half of the historical total load value are recorded as load shortage lines, and the number of load shortage lines is counted. The load shortage ratio is obtained by comparing the number of lines with the number of power supply lines. The expression for the load shortage ratio is: ； In the formula, This represents the percentage of load shortage. is the number of lines with load shortage, and m is the number of power supply lines; The method for obtaining the effective response percentage includes: A1: At the same time, response test commands are input to m power supply lines through the power distribution network management and control platform; A2: After the preset response period, receive the processed response test command at the power load end of each of the m power supply lines, and mark the attribute status of the processed response test command. A3: Record the processed response test command with the attribute status of "processed" as a valid response command, and record the power supply line corresponding to the valid response command as a valid line; A4: Count the number of valid lines and compare the number of valid lines with the number of power supply lines to obtain the sub-proportion value; A5: Repeat the above steps A1-A4 W times to obtain W sub-proportion values; The expression for the sub-proportion value is: ； In the formula, For the Wth sub-proportion value, This represents the number of the Wth valid lines. A6: Sum the W sub-proportion values ​​one by one and then average them to obtain the effective response proportion value; The expression for the percentage of effective responses is: ； In the formula, To effectively respond to the percentage value, This represents the percentage value of the a-th sub-sub; The expression for the operational reliability coefficient is: ； In the formula, For operational reliability factor, , , Weighting factors that are greater than 0; Operating status includes normal status and abnormal status; Methods for identifying normal and abnormal states include: operational reliability coefficient Compared with the preset operational reliability threshold Compare; when Greater than or equal to At that time, the operating status of the combined distribution network will be identified as normal. when Less than At that time, the operating status of the combined distribution network will be identified as an abnormal state; The method for determining whether to switch the joint optimization mode includes: When the operating status of the joint distribution network is normal, it is determined that the joint optimization mode will not be switched. When the operating status of the joint distribution network is abnormal, the joint optimization mode is switched. The optimization instructions include instructions to reduce the frequency of defense triggering, instructions to reduce the proportion of load shortage, and instructions to increase the proportion of effective response. The methods for formulating commands to reduce the frequency of defense triggering, reduce the proportion of load shortage, and increase the proportion of effective response include: When the optimization parameter is the defense trigger frequency, an instruction to reduce the defense trigger frequency is formulated. When the optimization parameter is the load shortage percentage, an instruction to reduce the load shortage percentage is issued. When the optimization parameter is the effective response percentage, an instruction is given to increase the effective response percentage. The execution priority is as follows: commands that reduce the frequency of defense triggering have the highest priority, commands that reduce the proportion of load shortage have the highest priority, and commands that increase the proportion of effective response have the highest priority.

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