Transformation planning method and equipment of transformer substation and storage medium

Abstract

The invention discloses a transformation planning method and equipment of a transformer substation and a storage medium. The method comprises the steps of determining a plurality of target intervals in the transformer substation; determining a time range for transforming the target interval; a plurality of time periods exist in the time range; calculating the power failure cost of target interval transformation according to the time period; determining a first candidate reconstruction scheme for the plurality of target intervals according to the power failure cost; generating a transformation evaluation index for the target intervals in multiple dimensions, and determining a second candidate transformation scheme for the multiple target intervals according to the transformation evaluation index; and generating a target reconstruction scheme according to the first candidate reconstruction scheme and the second candidate reconstruction scheme. According to the embodiment of the invention, the reconstruction scheme is evaluated from the perspective of time cost, and the reconstruction scheme is evaluated from multiple dimensions from the perspective of independent reconstruction, so that a relatively reasonable reconstruction scheme is constructed, consideration factors for constructing the reconstruction scheme are enriched, the cost and safety of the reconstruction scheme can be considered, and the safety is improved while the cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power, and in particular to a transformation planning method, equipment and storage medium for a substation. Background Art

[0002] The intelligence of substations has gradually become the main component of power grids. One of the main advantages of intelligence is that most information in substations can be digitized and visualized, which facilitates the transmission and storage of information and realizes continuous upgrading and transformation.

[0003] Adding intelligent devices, fiber optic links and other equipment to traditional substations can realize the digitization of substation information, networking of communication platforms and standardization of information sharing.

[0004] The transformation of the secondary equipment of the substation involves issues such as physical links, switches, virtual terminals, etc., which makes the transformation more complicated. Therefore, most of the current intelligent transformation is carried out by shutting down each bay in the order of their location.

[0005] Since there is a certain correlation between the intervals, power outages are likely to occur during the renovation period, making this renovation model costly and potentially dangerous. Summary of the invention

[0006] In view of this, the present invention provides a transformation planning method, device and storage medium for a substation, which are used to reduce costs and improve safety when the substation is transformed according to intervals.

[0007] A first aspect of the present invention provides a transformation planning method for a substation, comprising:

[0008] Determining multiple target bays in a substation;

[0009] Determine a time range for modifying the target interval; the time range has multiple time periods;

[0010] Calculating a power outage cost for modifying the target interval based on the time period;

[0011] Determining a first candidate transformation plan for a plurality of the target intervals according to the power outage cost;

[0012] Generating transformation evaluation indicators for the target interval in multiple dimensions, and determining second candidate transformation schemes for the multiple target intervals according to the transformation evaluation indicators;

[0013] A target transformation plan is generated according to the first candidate transformation plan and the second candidate transformation plan.

[0014] A second aspect of the present invention provides a transformation planning device for a substation, comprising:

[0015] A target interval determination module, used for determining a plurality of target intervals in a substation;

[0016] A time range determination module, used to determine the time range for modifying the target interval; the time range has multiple time periods;

[0017] A power outage cost calculation module, used to calculate the power outage cost of modifying the target interval according to the time period;

[0018] A first candidate transformation scheme determining module, configured to determine a first candidate transformation scheme for a plurality of target intervals according to the power outage cost;

[0019] A second candidate transformation scheme determination module, configured to generate transformation evaluation indicators for the target interval in multiple dimensions, and determine second candidate transformation schemes for the multiple target intervals according to the transformation evaluation indicators;

[0020] A target transformation scheme generating module is used to generate a target transformation scheme based on the first candidate transformation scheme and the second candidate transformation scheme.

[0021] A third aspect of the present invention provides an electronic device, the electronic device comprising:

[0022] at least one processor; and

[0023] a memory communicatively connected to the at least one processor; wherein,

[0024] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the substation reconstruction planning method as described in the first aspect above.

[0025] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the transformation planning method for a substation as described in the first aspect above.

[0026] A fifth aspect of the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the transformation planning method of the substation as described in the first aspect above.

[0027] In this embodiment, multiple target intervals are determined in the substation; the time range for the transformation of the target interval is determined; there are multiple time periods in the time range; the power outage cost for the transformation of the target interval is calculated based on the time period; a first candidate transformation plan is determined for the multiple target intervals based on the power outage cost; a transformation evaluation index is generated for the target interval in multiple dimensions, and a second candidate transformation plan is determined for the multiple target intervals based on the transformation evaluation index; a target transformation plan is generated based on the first candidate transformation plan and the second candidate transformation plan. This embodiment evaluates the transformation plan from the perspective of time cost, and evaluates the transformation plan from multiple dimensions from the perspective of independent transformation, so as to construct a more reasonable transformation plan, enrich the considerations for constructing the transformation plan, and can take into account both the cost and safety of the transformation plan, thereby reducing costs while improving safety.

[0028] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 This is a flow chart of a transformation planning method for a substation provided in Example 1 of the present invention.

[0031] Figure 2 It is a structural schematic diagram of a substation provided in Embodiment 1 of the present invention.

[0032] Figure 3 It is a structural schematic diagram of a transformation planning device for a substation provided in Embodiment 2 of the present invention.

[0033] Figure 4 It is a structural schematic diagram of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 creative work should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can cover sequential implementations other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0036] Embodiment 1

[0037] See also Figure 1 , shows a flow chart of a transformation planning method for a substation provided by a first embodiment of the present invention, the method can be executed by a transformation planning device for a substation, the transformation planning device for a substation can be implemented in the form of hardware and / or software, and the transformation planning device for a substation can be configured in an electronic device. Figure 1 As shown, the method includes:

[0038] Step 101: Determine a plurality of target bays in a substation.

[0039] In practical applications, the power equipment in the substation includes primary equipment and secondary equipment. The primary equipment includes transformers, circuit breakers, disconnectors, busbars, lightning arresters, capacitors, etc. The secondary equipment includes measurement, protection, control, communication, etc. Different secondary equipment can form a place for receiving, converting, transmitting and distributing electric energy.

[0040] In the design and construction of substations, the incoming line, main transformer high voltage, main transformer low voltage, main transformer, low voltage outgoing line and other parts are combined separately, and each part is called a bay. For example, the incoming line bay is composed of the line side earth knife, line side knife switch, switch side earth knife, switch, bus side knife switch, bus ground knife, and all electrical equipment constitute the incoming line bay.

[0041] When the interval of the substation is renovated, the primary and secondary equipment are renovated, and the power supply to the interval is cut off. At this time, the interval will not be able to transmit electric energy.

[0042] In this embodiment, each bay of the current substation, especially the secondary equipment in the bay, can be traversed in sequence to plan a transformation plan. For easy distinction, each bay of the current substation is recorded as a target bay.

[0043] Step 102: Determine the time range for modifying the target interval.

[0044] Since the power of the target interval is constantly changing and a small renovation project takes a long time, it can be divided into preset time periods.

[0045] To facilitate planning of renovation plans, it can be agreed that the endpoints of the time periods are all whole hours. For example, if the length of the time period is 1 hour, the time periods are 1 o'clock to 2 o'clock, 2 o'clock to 3 o'clock, and so on.

[0046] Generally speaking, the approximate time required for a renovation project with a target interval can be evaluated based on engineering experience, and a certain margin can be left to ultimately determine the target range required for a renovation project with a single target interval, where the time range has multiple time periods.

[0047] Step 103: Calculate the power outage cost for the target interval transformation according to the time period.

[0048] In practical applications, for each target interval, its time range can be arranged according to different modes. When the arrangement is completed, each time period within the time range is traversed, and the cost caused by power outage during the transformation of the target interval is cumulatively evaluated time period by time, which is recorded as the power outage cost.

[0049] In one embodiment of the present invention, step 103 may include the following steps:

[0050] Step 1031: Under the condition of modifying the current target interval, determine the probability of power outage in any target interval.

[0051] When renovating the current target interval, possible problems that may arise in the operations involved in the renovation can be considered, and the impact of these problems on any target interval can be evaluated. According to the historical operation of the power grid and engineering experience, the probability of power outages caused by the operations in these renovation processes on any target interval can be derived. The probabilities of these unexpected power outages can be incorporated into the renovation constraint model of the target interval, and a planning scheme for the target interval renovation can be arranged based on the processing.

[0052] Generally speaking, when the current target interval is transformed, the probability of power outage in the current target interval is 1.

[0053] Furthermore, considering that the load of the target interval of the current substation is not necessarily fully provided by the current substation, the target interval uses dual-circuit power supply to improve reliability. Therefore, the circuit that supplies power to any target interval can be queried; if the circuit includes the circuit of the current substation and the circuit of other substations, when the current substation is renovated, there are still other substations supplying power to the target interval, then the probability of power outage in any target interval is determined to be 0.

[0054] Step 1032: Calculate the single-cell power of any target interval when it runs in the time period.

[0055] For any target interval, the power information of the target interval in each time period can be used to predict the power when it is running in the same time period in the future using machine learning or deep learning methods, which is recorded as the single power.

[0056] Step 1033: For multiple time periods, add the product of the probability and the single power to obtain the interval cost.

[0057] In the same time period, for the same target interval, the product between the probability in the time period and the single power in the time period can be calculated. For multiple target intervals, all products are added together to obtain the interval cost.

[0058] At this time, the interval cost can be expressed as:

[0059]

[0060] Among them, C j·k is the interval cost of target interval k in time period j, n is the number of target intervals, p i is the probability of power outage in target interval i when target interval k is transformed, P ij is the single cell power of target interval i in time period j.

[0061] Step 1034: Add up all interval costs to obtain the power outage cost of the current target interval.

[0062] For multiple time periods within the same time range, all interval costs are added together to obtain the outage cost of the current target interval.

[0063] At this time, the power outage cost can be expressed as:

[0064]

[0065] Among them, C k·a is the outage cost when the target interval k is transformed within the time range t, where the time range t starts from time a, such as a = 0, 1, 2, ..., 23, C j·k is the interval cost of target interval k in time period j.

[0066] Step 104: Determine a first candidate transformation plan for multiple target intervals based on the power outage cost.

[0067] In practical applications, transformation plans can be planned for multiple target intervals based on the power outage cost and recorded as the first candidate transformation plan, thereby optimizing the transformation plan in terms of cost.

[0068] In one embodiment of the present invention, step 104 may include the following steps:

[0069] Step 1041, calculate the first target ratio of the single-unit power of the target interval to the substation.

[0070] In this embodiment, the ratio of the single-unit power of all target intervals to the substation power can be calculated and recorded as the first target ratio.

[0071] In a specific implementation, the total power of the substation when it is running in each time period can be queried.

[0072] For the same time period, the ratio between the single power of the target interval and the total power is calculated to obtain the power ratio. For multiple time periods, the average power ratio is calculated to obtain the first target ratio.

[0073] Then, the first target ratio can be expressed as:

[0074]

[0075] Among them, P% is the first target ratio, P kj is the single power of target interval k in time period j, S j is the total power of the substation in time period j, and the time range t starts from time a, such as a=0, 1, 2, …, 23.

[0076] Step 1042: Calculate the second target ratio of the power outage cost of the target interval to the substation.

[0077] In this embodiment, the ratio of the power outage cost of the target interval to the substation cost may be calculated and recorded as the second target ratio.

[0078] In a specific implementation, the total cost of transforming the substation can be queried from the design plan of the substation, and the ratio between the power outage cost of the target interval and the total cost can be calculated to obtain the second target ratio.

[0079] Then, the second target ratio can be expressed as:

[0080]

[0081] Among them, C% is the second target ratio, C k·a is the outage cost when the target interval k is transformed within the time range t, and the time range t starts from time a, such as a = 0, 1, 2, ..., 23, and C is the total cost of transforming the substation.

[0082] Step 1043: Use the first target ratio and the second target ratio to filter out sample intervals that are similar to the target interval.

[0083] Since different intervals in different substations have different operating characteristics, when summarizing the cost experience of renovation projects in previous intervals (i.e., sample intervals), it is determined that the sample interval is similar to the target interval. The empirical rules of similar sample intervals are used for summary, which can better avoid the influence of power outage renovation data of substations with different voltage levels and different power capacities. The summarized rules are more practical. Therefore, based on the operating data and renovation records of similar sample intervals, the renovation plans with better power outage costs are screened out through big data as power outage strategies for different intervals of different substations, and applied to renovation projects of different substations.

[0084] In this embodiment, the first target ratio and the second target ratio of the target interval may be compared with the sample interval, so as to screen out the sample interval similar to the target interval.

[0085] In a specific implementation, multiple sample intervals may be determined; the sample intervals are associated with a first sample ratio and a second sample ratio, the first sample ratio is calculated in the same manner as the first target ratio, and the second sample ratio is calculated in the same manner as the second target ratio.

[0086] On the one hand, the difference between the first target ratio and the first sample ratio is calculated (such as taking the absolute value of the difference between the two), and the power deviation is obtained.

[0087] On the other hand, the difference between the second target ratio and the second sample ratio is calculated (such as taking the absolute value of the difference between the two) to obtain the cost deviation.

[0088] The power deviation is compared with a preset first deviation range, and the cost deviation is compared with a preset second deviation range.

[0089] If the power deviation is within the first deviation range and the cost deviation is within the second deviation range, it can be determined that the target interval is similar to the sample interval.

[0090] If the power deviation is outside the first deviation range and / or the cost deviation is outside the second deviation range, it can be determined that the target interval is not similar to the sample interval.

[0091] Step 1044: Determine the sequence information and time information of the transformation of multiple target intervals based on the historical information of the transformation of the sample intervals as the first candidate transformation plan.

[0092] In this embodiment, the historical information recorded when the sample interval is modified can be queried, and the order information and time information of the modification of multiple target intervals can be determined using optimization algorithms such as the ant colony optimization algorithm and the whale optimization algorithm, to obtain multiple first candidate modification schemes, that is, the first candidate modification scheme is a combination of the order and time of the modification of the target interval.

[0093] Step 105: Generate transformation evaluation indicators for the target interval in multiple dimensions, and determine second candidate transformation plans for the multiple target intervals based on the transformation evaluation indicators.

[0094] In actual applications, since the transformation project of the substation basically has a fixed construction period and is limited to be completed within a certain time, and considering factors such as the rest of the staff, it is impossible to fully refer to the transformation plan with the best cost to arrange the transformation project. Therefore, in the existing transformation cases (that is, the cases of sample interval transformation), the first candidate transformation plan with the lower power outage cost is selected and combined to a certain extent according to the power outage cost.

[0095] If the existing renovation cases do not involve two or more target intervals, and these two or more target intervals are renovated during the substation renovation, or if the renovation cases of the same target interval are relatively sparse, based on the risk-taking and recovery state transfer algorithm, renovation evaluation indicators are independently generated for the target interval in multiple dimensions, so as to generate the second candidate renovation plan based on the evaluation indicators and optimize the renovation plan.

[0096] In one embodiment of the present invention, step 105 may include the following steps:

[0097] Step 1051: configure a first transformation coefficient for the target interval according to the complexity of the transformation of the target interval.

[0098] In this embodiment, fuzzy assignment processing can be performed based on the complexity (dimension) of the target interval transformation, and the first transformation coefficient can be configured for the target interval.

[0099] Generally speaking, the first transformation coefficient is positively correlated with the complexity of the target interval transformation, that is, the higher the complexity of the target interval transformation, the higher the complexity level, the greater the risk, and the larger the value of the first transformation coefficient. Conversely, the lower the complexity of the target interval transformation, the lower the complexity level, the lower the risk, and the smaller the value of the first transformation coefficient.

[0100] For example, Figure 2 The shown substation is a 110 / 10kV substation with a single busbar segment on the low-voltage side, and the power equipment on the low-voltage side is transformed compartment by compartment.

[0101] On the secondary equipment side, the backup automatic switching device, some measurement and control devices, and segment protection devices are configured and downloaded, and the protection devices in the remaining intervals are conventional devices. When renovating, the equipment is replaced and the wiring is changed. The complexity of the wiring operation is similar, but the configuration download has one more step. Therefore, the complexity of the re-downloaded configuration device increases by one level. Considering that the segment protection device is usually in the same interval as the automatic switching device, the complexity of the segment protection interval increases by one level.

[0102] On the primary equipment side, the steps for transformation are basically the same except for the segmented intervals. The grounding transformer interval and the capacitor interval must take into account the main knife switch, and the segmented interval must take into account the two trolleys. Therefore, there are relatively more primary equipment, and the complexity of operation is slightly higher than that of the outgoing line interval. The PT measurement and control interval only needs to consider one partition knife. Therefore, the complexity of primary and secondary operations is comprehensively considered, and the assignment can be completed according to the complexity of the operation.

[0103] In this example, the first value can be configured as the first transformation coefficient for the target interval representing the outgoing line (i.e., the outgoing line interval), the second value can be configured as the first transformation coefficient for the target interval representing measurement and control, grounding transformer or capacitor (i.e., PT measurement and control interval, grounding transformer interval, capacitor interval), and the third value can be configured as the first transformation coefficient for the target interval representing the segment (i.e., the segment interval).

[0104] The first value is smaller than the second value, and the second value is smaller than the third value.

[0105] Assuming the first value is 1, the second value is 2, and the segment interval is 3, the first transformation coefficient is as shown in the following table:

[0106]

[0107] Where IntervalName is the name of the target interval.

[0108] Step 1052: configure a second transformation coefficient for the target interval according to the risk, load, and importance of a power outage caused by the transformation of the target interval.

[0109] In this embodiment, fuzzy assignment processing can be performed based on the risk, load and importance (dimensions) when the transformation causes a power outage, and a second transformation coefficient can be configured for the target interval.

[0110] For example, Figure 2 The shown substation is a 110 / 10kV substation with a single busbar segment on the low-voltage side, and the power equipment on the low-voltage side is transformed compartment by compartment.

[0111] The main function of the grounding transformer bay on the 10kV side is to affect the grounding current and reduce the impact of single-phase grounding faults; the capacitor bay is mainly used to improve the power factor and provide reactive power; the PT measurement and control bay is mainly used for busbar measurement and control.

[0112] Each busbar section will have a PT measurement and control interval, a grounding transformer interval, and multiple capacitor intervals. The impact of power outages in these intervals can be reduced by changing the working conditions of the section intervals.

[0113] Generally speaking, power outages in the above intervals will not cause a major impact and can be used as the lowest risk level. According to the operating status of the target interval, a second transformation coefficient is configured within a second numerical range (such as [1, 2]) for the target interval representing measurement and control, grounding transformer or capacitor.

[0114] For example, when the reactive power of the substation is too low, the second transformation coefficient of the capacitor interval can be assigned to be 2. When the reactive power of the substation is sufficient, the second transformation coefficient of the capacitor interval can be assigned to be 1. During the closing operation of the section circuit breaker, the second transformation coefficient of the PT measurement and control interval and the grounding transformer interval can be assigned to be 1. During the opening operation of the section circuit breaker, the second transformation coefficient of the PT measurement and control interval and the grounding transformer interval can be assigned to be 2, and so on.

[0115] A first transformation coefficient is configured within a first value range (eg, [0, 3]) for a target interval representing a line according to an operating state of the target interval.

[0116] For example, when the outgoing line interval itself is not in operation, the second transformation coefficient of the outgoing line interval can be assigned to 0. When the power of the outgoing line interval is large and the load is only supplied by the current substation, the second transformation coefficient of the outgoing line interval can be assigned to 3. If the power of the outgoing line interval is average but there is an important load, the second transformation coefficient of the outgoing line interval can be assigned to 3.

[0117] A second transformation coefficient is configured within a third value range (eg, [1, 3]) for the target interval representing the segment according to the operating status of the target interval.

[0118] For example, when the power on both sides of the segmented interval is sufficient and there is no need to exchange power through the segmented circuit breaker, the second transformation coefficient of the segmented interval can be assigned a value of 1. If the power on one side of the segmented interval is 0, the second transformation coefficient of the segmented interval can be assigned a value of 3.

[0119] The first numerical range includes the third numerical range, and the third numerical range includes the second numerical range.

[0120] Step 1053: For the same target interval, the first transformation coefficient and the second transformation coefficient are integrated into a transformation evaluation index.

[0121] For the same target interval, the first transformation coefficient and the second transformation coefficient can be integrated into a transformation evaluation index in a linear or nonlinear manner.

[0122] Taking linear fusion as an example, the product of the first transformation coefficient and the first weight can be calculated to obtain the first weight adjustment coefficient; the product of the second transformation coefficient and the second weight can be calculated to obtain the second weight adjustment coefficient; for the same target interval, the first weight adjustment coefficient and the second weight adjustment coefficient are added to obtain the transformation evaluation index.

[0123] Then, the transformation evaluation index can be expressed as:

[0124] f=a1f1+a2f2

[0125] Among them, f is the transformation evaluation index, f1 is the first transformation coefficient, f2 is the second transformation coefficient, a1 is the first weight, and a2 is the second weight.

[0126] Step 1054: Determine the sequence information and time information of the transformation for the multiple target intervals according to the transformation evaluation index as the second candidate transformation plan.

[0127] In this embodiment, algorithms such as TextRank (text ranking) can be used to determine the order information and time information of the transformation for multiple target intervals with reference to the transformation evaluation index as the second candidate transformation plan.

[0128] The larger the transformation evaluation index is, the higher the cost of the transformation operation and the greater the risk of power outage. It is regarded as a risky state, and the order and time of the transformation can be postponed. If the transformation evaluation index is greater than a certain value, the transformation of the corresponding target interval can be temporarily not arranged, and the transformation can be carried out when the transformation evaluation index decreases.

[0129] The smaller the transformation evaluation index is, the lower the cost of the transformation operation and the smaller the risk of power outage. It is regarded as a recovery state, and the transformation of the corresponding target interval can be arranged as soon as possible.

[0130] Step 106: Generate a target transformation plan based on the first candidate transformation plan and the second candidate transformation plan.

[0131] In this embodiment, the first candidate transformation plan and the second candidate transformation plan can be combined using algorithms such as the knapsack algorithm and the reinforcement learning algorithm to select a target transformation plan with lower cost and higher safety. The target transformation plan includes sequence information and time information of the transformations determined by multiple target intervals.

[0132] Furthermore, the target transformation scheme may be the first candidate transformation scheme or the second candidate transformation scheme itself, or may be a new transformation scheme generated on the basis of the first candidate transformation scheme and the second candidate transformation scheme, which is not limited in this embodiment.

[0133] In this embodiment, multiple target intervals are determined in the substation; the time range for the transformation of the target interval is determined; there are multiple time periods in the time range; the power outage cost for the transformation of the target interval is calculated based on the time period; a first candidate transformation plan is determined for the multiple target intervals based on the power outage cost; a transformation evaluation index is generated for the target interval in multiple dimensions, and a second candidate transformation plan is determined for the multiple target intervals based on the transformation evaluation index; a target transformation plan is generated based on the first candidate transformation plan and the second candidate transformation plan. This embodiment evaluates the transformation plan from the perspective of time cost, and evaluates the transformation plan from multiple dimensions from the perspective of independent transformation, so as to construct a more reasonable transformation plan, enrich the considerations for constructing the transformation plan, and can take into account both the cost and safety of the transformation plan, thereby reducing costs while improving safety.

[0134] Embodiment 2

[0135] See also Figure 3 , shows a schematic diagram of the structure of a transformation planning device for a substation provided by Embodiment 3 of the present invention. Figure 3 As shown, the device comprises:

[0136] The target interval determination module 301 is used to determine a plurality of target intervals in the substation;

[0137] A time range determination module 302 is used to determine a time range for modifying the target interval; the time range has multiple time periods;

[0138] A power outage cost calculation module 303, for calculating the power outage cost of modifying the target interval according to the time period;

[0139] A first candidate transformation scheme determining module 304, configured to determine a first candidate transformation scheme for a plurality of target intervals according to the power outage cost;

[0140] A second candidate transformation scheme determining module 305 is used to generate transformation evaluation indicators for the target interval in multiple dimensions, and determine second candidate transformation schemes for multiple target intervals according to the transformation evaluation indicators;

[0141] The target transformation scheme generating module 306 is configured to generate a target transformation scheme based on the first candidate transformation scheme and the second candidate transformation scheme.

[0142] In one embodiment of the present invention, the power outage cost calculation module 303 includes:

[0143] A probability determination module, used to determine the probability of power outage in any of the target intervals under the condition that the current target interval is modified;

[0144] A single power calculation module, used to calculate the single power of any of the target intervals when running in the time period;

[0145] An interval cost calculation module, used for adding the product of the probability and the single power for a plurality of the time periods to obtain an interval cost;

[0146] The interval cost adding module is used to add all the interval costs to obtain the power outage cost of the current target interval.

[0147] In one embodiment of the present invention, the probability determination module includes:

[0148] A circuit query module, used for querying the circuit that supplies power to any of the target intervals;

[0149] The probability assignment module is used to determine that the probability of power outage in any target interval is 0 if the loop includes the loop of the current substation and the loops of other substations.

[0150] In one embodiment of the present invention, the first candidate transformation solution determination module 304 includes:

[0151] A first target ratio calculation module, used for calculating a first target ratio of the single power of the target interval to the substation;

[0152] A second target ratio calculation module, used for calculating a second target ratio of the power outage cost of the target interval to the substation;

[0153] a sample interval screening module, configured to screen out sample intervals similar to the target interval using the first target ratio and the second target ratio;

[0154] The historical information determination module is used to determine the sequence information and time information of the transformation of the plurality of target intervals according to the historical information of the transformation of the sample intervals as a first candidate transformation scheme.

[0155] In one embodiment of the present invention, the first target ratio calculation module includes:

[0156] A total power query module, used to query the total power of the substation when it is running in the time period;

[0157] A power ratio calculation module, used for calculating the ratio between the single power and the total power of the target interval for the same time period to obtain a power ratio;

[0158] An average value calculation module, used for calculating an average value of the power ratio for a plurality of the time periods to obtain a first target ratio;

[0159] The second target ratio calculation module includes:

[0160] A total cost calculation module, used to query the total cost of transforming the substation;

[0161] a cost ratio calculation module, configured to calculate a ratio between the power outage cost of the target interval and the total cost to obtain a second target ratio;

[0162] The sample interval screening module comprises:

[0163] A sample interval determination module, used to determine a plurality of sample intervals; the sample intervals are associated with a first sample ratio and a second sample ratio;

[0164] a power deviation calculation module, configured to calculate a difference between the first target ratio and the first sample ratio to obtain a power deviation;

[0165] a cost deviation calculation module, used for calculating the difference between the second target ratio and the second sample ratio to obtain a cost deviation;

[0166] The similar interval determination module is configured to determine that the target interval is similar to the sample interval if the power deviation is within a first deviation range and the cost deviation is within a second deviation range.

[0167] In one embodiment of the present invention, the second candidate transformation scheme determination module 305 includes:

[0168] A first transformation coefficient configuration module, configured to configure a first transformation coefficient for the target interval according to the complexity of the transformation of the target interval;

[0169] A second transformation coefficient configuration module is used to configure a second transformation coefficient for the target interval according to the risk, load and importance of power outage caused by the transformation of the target interval;

[0170] A transformation evaluation index fusion module, used for fusing the first transformation coefficient and the second transformation coefficient into a transformation evaluation index for the same target interval;

[0171] The transformation evaluation index determination module is used to determine the transformation sequence information and time information for the multiple target intervals according to the transformation evaluation index as the second candidate transformation plan.

[0172] In one embodiment of the present invention, the first transformation coefficient configuration module includes:

[0173] A first numerical configuration module, configured to configure a first numerical value as a first transformation coefficient for the target interval representing the output line;

[0174] A second numerical configuration module is used to configure a second numerical value as a first transformation coefficient for the target interval representing the measurement and control, grounding transformer or capacitor;

[0175] A third value configuration module, configured to configure a third value as a first transformation coefficient for the target interval representing the segment;

[0176] Wherein, the first value is smaller than the second value, and the second value is smaller than the third value;

[0177] The second transformation coefficient configuration module includes:

[0178] A first numerical range configuration module, configured to configure a first transformation coefficient within a first numerical range for the target interval representing the output line according to the operating state of the target interval;

[0179] A second numerical range configuration module, configured to configure a second transformation coefficient within a second numerical range for the target interval representing the measurement and control, grounding transformer or capacitor according to the operating state of the target interval;

[0180] A third numerical range configuration module, configured to configure a second transformation coefficient within a third numerical range for the target interval representing the segment according to the operating state of the target interval;

[0181] Wherein, the first numerical range includes the third numerical range, and the third numerical range includes the second numerical range;

[0182] The transformation evaluation index determination module includes:

[0183] A first weight adjustment coefficient calculation module, used to calculate the product of the first transformation coefficient and the first weight to obtain a first weight adjustment coefficient;

[0184] A second weight adjustment coefficient calculation module, used to calculate the product of the second transformation coefficient and the second weight to obtain a second weight adjustment coefficient;

[0185] The weight adjustment coefficient adding module is used to add the first weight adjustment coefficient and the second weight adjustment coefficient for the same target interval to obtain a transformation evaluation index.

[0186] The transformation planning device for a substation provided in an embodiment of the present invention can execute the transformation planning method for a substation provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the transformation planning method for a substation.

[0187] Embodiment 3

[0188] See also Figure 4, showing a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0189] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0190] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0191] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the transformation planning method of the substation.

[0192] In some embodiments, the transformation planning method of the substation may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the transformation planning method of the substation described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the transformation planning method of the substation in any other appropriate manner (e.g., by means of firmware).

[0193] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0194] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0195] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0196] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0197] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0198] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0199] Embodiment 4

[0200] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method for planning transformation of a substation as provided in any embodiment of the present invention is implemented.

[0201] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0202] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0203] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A transformation planning method for a substation, It is characterized in that include: Determining multiple target bays in a substation; Determine a time range for modifying the target interval; the time range has multiple time periods; Calculating a power outage cost for modifying the target interval based on the time period; Determining a first candidate transformation plan for a plurality of the target intervals according to the power outage cost; Generating transformation evaluation indicators for the target interval in multiple dimensions, and determining second candidate transformation schemes for the multiple target intervals according to the transformation evaluation indicators; A target transformation plan is generated according to the first candidate transformation plan and the second candidate transformation plan.

2. The method according to claim 1, It is characterized in that The calculating the power outage cost of the target interval modification according to the time period includes: Under the condition that the current target interval is modified, determining the probability of power outage in any of the target intervals; Calculate the single power of any of the target intervals when running in the time period; For a plurality of the time periods, adding the product of the probability and the single power to obtain an interval cost; All the interval costs are added together to obtain the power outage cost of the current target interval.

3. The method according to claim 2, It is characterized in that The determining the probability of a power outage in any of the target intervals comprises: querying a circuit that supplies power to any of the target intervals; If the loop includes the loop of the current substation and the loops of other substations, it is determined that the probability of power outage in any target interval is 0.

4. The method according to claim 2, It is characterized in that The determining a first candidate transformation scheme for the plurality of target intervals according to the power outage cost comprises: Calculate a first target ratio of the single power of the target interval to the substation; Calculate a second target ratio of the power outage cost of the target interval to the substation; Using the first target ratio and the second target ratio to select a sample interval similar to the target interval; According to the historical information of the modification of the sample intervals, the modification sequence information and time information of the plurality of target intervals are determined as a first candidate modification scheme.

5. The method according to claim 4, It is characterized in that The calculating the first target ratio of the single power of the target interval to the substation includes: Query the total power of the substation when it is running in the time period; For the same time period, calculating the ratio between the single power and the total power of the target interval to obtain a power ratio; For the plurality of time periods, calculating an average value of the power ratio to obtain a first target ratio; The calculating the second target ratio of the power outage cost of the target interval to the substation includes: Querying the total cost of modifying the substation; calculating a ratio between the power outage cost of the target interval and the total cost to obtain a second target ratio; The using the first target ratio and the second target ratio to select a sample interval similar to the target interval includes: Determining a plurality of sample intervals; the sample intervals associating a first sample ratio with a second sample ratio; calculating a difference between the first target ratio and the first sample ratio to obtain a power deviation; calculating the difference between the second target ratio and the second sample ratio to obtain a cost deviation; If the power deviation is within a first deviation range and the cost deviation is within a second deviation range, it is determined that the target interval is similar to the sample interval.

6. The method according to any one of claims 1 to 5, It is characterized in that Generating transformation evaluation indicators for the target interval in multiple dimensions, and determining second candidate transformation schemes for the multiple target intervals according to the transformation evaluation indicators, includes: configuring a first transformation coefficient for the target interval according to the complexity of the transformation of the target interval; According to the risk, load and importance of the target interval modification resulting in power outage, the second modification coefficient is configured for the target interval; For the same target interval, the first transformation coefficient and the second transformation coefficient are integrated into a transformation evaluation index; Determine the sequence information and time information of the transformation for the plurality of target intervals according to the transformation evaluation index as a second candidate transformation plan.

7. The method according to claim 6, It is characterized in that The configuring a first transformation coefficient for the target interval according to the complexity of the transformation of the target interval includes: Assigning a first value as a first transformation coefficient to the target interval representing the line; configuring a second value as a first transformation coefficient for the target interval representing the measurement and control, grounding transformer or capacitor; configuring a third value as a first transformation coefficient for the target interval representing the segment; Wherein, the first value is smaller than the second value, and the second value is smaller than the third value; The configuring a second transformation coefficient for the target interval according to the risk, load and importance of a power outage caused by the transformation of the target interval includes: According to the operating state of the target interval, a first transformation coefficient is configured for the target interval representing the output line within a first numerical range; configuring a second transformation coefficient within a second numerical range for the target interval representing a measurement and control, a grounding transformer or a capacitor according to the operating state of the target interval; configuring a second transformation coefficient within a third value range for the target interval representing the segment according to the operating state of the target interval; Wherein, the first numerical range includes the third numerical range, and the third numerical range includes the second numerical range; For the same target interval, fusing the first transformation coefficient and the second transformation coefficient into a transformation evaluation index includes: Calculate the product of the first transformation coefficient and the first weight to obtain a first weight adjustment coefficient; Calculating the product of the second transformation coefficient and the second weight to obtain a second weight adjustment coefficient; For the same target interval, the first weight adjustment coefficient and the second weight adjustment coefficient are added to obtain a transformation evaluation index.

8. An electronic device, It is characterized in that The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the transformation planning method for a substation according to any one of claims 1 to 7.

9. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for planning transformation of a substation according to any one of claims 1 to 7 is implemented.

10. A computer program product, It is characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method for planning transformation of a substation according to any one of claims 1 to 7 is implemented.

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