A load regulation method based on base station energy storage

Abstract

The present invention discloses a load regulation method based on base station energy storage. Active intervals are divided through a topological diagram, and the base station self-checks the energy storage state to determine the available power. The interval is regulated by intervals near the power-deficient active interval and nearby base stations with sufficient power. During the regulation process, attention is paid to the power provided by each functional interval in the distribution interval, and the power expectation is adjusted in real time. First, the power-deficient active interval is regulated through the base station, and the path load consumption existing in the base station allocation room is considered. If the base station allocation cannot meet the needs of the power-deficient active interval, the nearby intervals are allocated, and the power supply situation in the area is comprehensively considered to ensure the power supply in the area.

Description

Technical Field

[0001] The present invention relates to the field of power distribution networks, and in particular to a load regulation method based on base station energy storage. Background Art

[0002] As the peak electricity load of the whole society continues to break records, the peak load regulation pressure of the power grid is increasing, and it is urgent to develop more extensive demand response means. Due to the current stage of society, the development of science and technology has caused the electricity consumption to gradually increase. The use of high-power electrical appliances in some areas and overproduction in factories may cause power shortages, so it is necessary to adjust the areas where the power consumption is insufficient on that day. At the same time, the traditional adjustment method often adjusts the electricity directly through the power station, but it will cause a lot of energy loss on the way, and the adjustment process is complicated and cumbersome. At the same time, due to the access of new energy equipment, there are often some new energy storage base stations on the power grid topology map. Using base stations for regulation within the interval can help reduce the number of regulation times, but the actual adjustment process needs to consider the distribution of base stations. At this stage, a method of charge regulation within the interval that takes all aspects into consideration is needed.

[0003] For example, a "load resource control system and method based on power carrier" disclosed in Chinese patent literature, with announcement number CN114221435A; by comparing historical load data and temperature, a predicted temperature load change curve is obtained, and the control object and control time are obtained by comparing the actual load change and the predicted temperature load change curve, thereby realizing the control of a single household. However, this method is only applicable to the direct regulation of users by power stations. If the distance between them is far, it is difficult to regulate a certain power-deficient interval alone. This peak control is only applicable to single-user regulation, and is not suitable for load regulation between intervals. Summary of the invention

[0004] The present invention mainly aims at the problem that it is difficult to comprehensively consider the load distribution within the interval under the existing technology; it provides a load regulation method based on base station energy storage; the active interval is divided by a topological map, the base station self-checks the energy storage status to determine the power that can be supplied, and the interval is regulated by the intervals near the power-deficient active interval and the nearby base stations with sufficient power. During the regulation process, attention is paid to the power provided by each functional interval in the distribution interval, and the power expectation is adjusted in real time; first, the power-deficient active interval is regulated by the base station, and the path load consumption existing in the base station allocation room is considered. If the base station allocation cannot meet the needs of the power-deficient active interval, the nearby intervals are allocated, and the power supply situation in the area is comprehensively considered to ensure the power supply in the area.

[0005] The above technical problems of the present invention are mainly solved by the following technical solutions:

[0006] A load regulation method based on base station energy storage, the method comprising:

[0007] S1. Obtain the distribution network topology map; search for base stations; divide the active interval according to the topology map; collect historical load data through the carrier chip and establish a load consumption estimation model in the active interval according to the historical load data; perform initial load distribution according to the load consumption of each active interval;

[0008] S2, detecting the energy storage status of each base station and determining the available power of the base station;

[0009] S3. Collect the load consumption data of each active section in real time and determine the control object;

[0010] S4. Redistribute the load of the regulated object through the nearby sections and base stations of the regulated object; give priority to calling the available power of the base station on the optimal regulated path;

[0011] S5. Real-time detection of distribution network information and feedback of control results; secondary detection of the energy storage status of each base station, and marking the power-deficient base stations as ordinary nodes on the distribution network topology map.

[0012] The active intervals are divided through the topology map, and the base station self-checks the energy storage status to determine the available power. The power is adjusted to the interval through the intervals near the power-deficient active interval and the nearby base stations with sufficient power. During the adjustment process, attention is paid to the power provided by each functional interval in the distribution interval, and the power expectation is adjusted in real time. First, the active interval with power shortage is adjusted through the base station, and the path load consumption between the base station allocation is considered. If the base station allocation cannot meet the needs of the active interval with power shortage, the nearby intervals are allocated, and the power supply situation in the area is comprehensively considered to ensure the power supply in the area.

[0013] Preferably, the nearby interval is divided according to the following method:

[0014] Step S21, marking each active interval as a load node on the topology map; marking the base station as a load node and a common node according to the energy storage capacity of the base station;

[0015] Step S22, select one of the load nodes as a reference node; refer to the topological diagram, take the reference node as the center, collect the non-loop connection paths from the center to each load node and the special node, and determine the number of load nodes in the connection path. If the number of load nodes is greater than one, discard the path; if the number of load nodes is one, select the connection path as the optimal control path;

[0016] Step S23, select the load nodes corresponding to all the optimal control paths; the base stations corresponding to the load nodes are the base stations participating in load redistribution; the active intervals corresponding to the load nodes are the vicinity intervals of the reference nodes.

[0017] The load nodes near the reference node are determined through the path, and the shortest path for consumption is confirmed through the connection between the load nodes to avoid excessive path consumption and meet the principle of nearby deployment.

[0018] Preferably, the method for dividing base stations into special nodes and ordinary nodes includes: if the base station energy storage is less than 2%, it is divided into ordinary nodes; ordinary nodes no longer participate in load redistribution. When the base station energy storage is too low, it is necessary to supplement the base station energy storage by charging. If the node continues to be marked on the topology map, it will affect the division of the path. Therefore, the base station with too low energy storage needs to be excluded and no longer participate in load distribution.

[0019] Preferably, the initial load distribution includes:

[0020] S41: collecting the historical average daily load change data of users in each functional area within the active interval and performing standardization processing; fitting the standardized average daily load change data of each functional area within the active interval through the ant colony algorithm, and superimposing them to form a load consumption estimation curve;

[0021] S42: Calculate the daily average load consumption of each interval through the load consumption estimation curve;

[0022] S43: Allocate load power to each active section according to the average daily load consumption.

[0023] Since the load consumption of different functional areas in each interval is often different, the load consumption level of industrial areas is often far beyond that of ordinary residential areas. When predicting, direct fitting will easily lead to the neglect of the load of residential areas. Therefore, it is necessary to perform weighted averaging on the load data to ensure that the load of each functional area can be taken into account.

[0024] Preferably, the standardization process is:

[0025]

[0026] in, is the standardized daily average load of each functional area; α i is the standardized coefficient of the load of each functional area; Q i is the total load of each functional area; the same functional area in different active areas uses the same standardization coefficient.

[0027] Since the load consumption of different functional areas in each area is often different, the load consumption level of industrial areas is often far beyond that of ordinary residential areas. Therefore, different coefficients need to be superimposed on different load areas.

[0028] Preferably, the step S2 specifically includes:

[0029] S61, judging the current base station energy storage charge state according to the base station energy storage charge state and the base station energy storage capacity at the previous moment; the energy storage charge state describes the real-time power quantity as follows:

[0030]

[0031] Among them, S soc (t) is the charge state at the current moment; S soc (t-1) is the charge state at the previous moment; P for (t-1) is the power at the previous moment; η represents the energy storage charging and discharging efficiency in the base station; C bat Indicates the energy storage capacity of the base station;

[0032] S62, obtaining the path power loss according to the optimal control path from the base station to the load node; ΔP = 3I 2 R×10 -3 ; Among them, ΔP is the line resistance power loss, unit kW; I is the phase current of the line, unit A; R is the resistance of each phase conductor of the line, unit Ω; set the power loss threshold, and the base station whose path power loss exceeds the threshold will not participate in the regulation and allocation process.

[0033] Since base stations are often photovoltaic base stations, the power is described by considering the energy storage charge state of the base station. During the dispatching process, since a certain amount of power will be lost on the transmission line, it is necessary to consider the power consumption on the route, and this power consumption needs to be within the acceptable range. The power loss threshold is set manually to screen out base stations outside the range to avoid long-distance transportation during the dispatching process, which will cause excessive power consumption losses.

[0034] Preferably, the regulated objects are divided according to the following steps:

[0035] S71, collecting real-time load and real-time load power consumption, obtaining the load consumed on the day; marking the real-time load power consumption, and fitting to form a real-time load power consumption curve;

[0036] S72. Place the real-time load power consumption curve and the load consumption estimate curve in the same coordinate system, compare and select the time period during which the real-time load power exceeds the limit; if the cumulative time period exceeds the limit for 2 hours, select the active interval as the control object; and adjust the load consumption estimate curve for the day according to the real-time load power consumption curve.

[0037] Since load absorption is a continuous value, by comparing the excess power and the actual prediction in the same coordinate system, the excess time point and time period can be intuitively marked.

[0038] Preferably, the load redistribution method is as follows:

[0039] Step S81, according to the active distribution network topology, obtain the nearby intervals of the active interval and the base station distribution location, energy storage capacity and load consumption information;

[0040] Step S82, determining whether the nearby interval is a control object; the interval selected as the control object does not participate in load redistribution;

[0041] Step S83: preferentially perform load control on the control object through the base stations near the control object, and determine the control time according to the base station load absorption power and path power loss; the start control time is recorded as t1; the time t2 when the real-time exceeds the adjusted daily load consumption estimate curve by 5% is recorded as the end control time; if the control is not ended when the base station energy storage is less than 2%, the load of the control object is redistributed through the nearby intervals;

[0042] Step S84, analyzing the energy storage capacity within the active interval participating in this load redistribution; determining the redistributed load capacity according to the energy storage capacity; and performing load redistribution on the control object according to the optimal control path.

[0043] Based on the actual power shortage status, the base station energy storage participating in the deployment is deployed first. Since the load consumption estimation curve based on the original data cannot meet the actual load consumption demand, the expectation needs to be adjusted upward. After the expectation is adjusted upward, the actual regulated power still needs to be slightly higher than the adjusted expectation to ensure the load consumption of the day. The excess data can be adjusted according to actual needs and is not limited to 5%. If the expected value is large, the excess ratio should be appropriately reduced.

[0044] As a preferred option, the allocation ratio of nearby intervals to participate in redistribution capacity is as follows:

[0045] S91, collecting load consumption information of each functional area in the active section; assuming that the number of functional areas participating in the allocation is N;

[0046] S92. The allocation of each functional area is allocated according to the following formula:

[0047]

[0048] Among them, Q is the load required by the functional area; λ1, λ2, λ3, λ4, λ5, and λ6 are the factory load weighting coefficient, commercial area load weighting coefficient, residential area load weighting coefficient, school load weighting coefficient, hospital load weighting coefficient, and other places load weighting coefficient respectively;

[0049] a1, a2, a3, a4, a5, and a6 are the ratio of the factory's remaining load to the factory's initially allocated load, the ratio of the commercial area's remaining load to the commercial area's initially allocated load, the ratio of the residential area's remaining load to the residential area's initially allocated load, the ratio of the school's remaining load to the school's initially allocated load, the ratio of the hospital's remaining load to the hospital's initially allocated load, and the ratio of the remaining load of other places to the initially allocated load of other places;

[0050] Q1, Q2, Q3, Q4, Q5, Q i They are the factory load, commercial area load, residential area load, school load, hospital load and the load of the ith other place;

[0051] where λ j a j Q j Redistribute the charge to each grid interval; j takes a value of 1 to N; during the redistribution process, λ5<λ4<λ1<λ2=λ3<λ6.

[0052] If the base station cannot meet the power supply quota of the power shortage interval, it is necessary to make quantitative adjustments to the internal functional areas when adjusting the power shortage interval using the nearby intervals.

[0053] The beneficial effects of the present invention are:

[0054] Initial allocation is carried out according to the load consumption estimation model; the control object is determined by comparing the actual load consumption with the load consumption estimation model, the base station self-checks the energy storage status to determine the power that can be supplied, and the power is adjusted to the interval through the intervals near the power-deficient active interval and the nearby base stations with sufficient power. During the adjustment process, attention is paid to the power provided by each functional interval in the allocation interval, and the power expectation is adjusted in real time; first, the power-deficient active interval is adjusted through the base station, and the path load consumption between the base station allocation is considered. If the base station allocation cannot meet the needs of the power-deficient active interval, the nearby intervals are allocated, and the load power adjustment of each functional area to the control object is determined based on the load comparison between the control objects, and the allocation amount is comprehensively considered to ensure the adjustment of power consumption within the interval. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 The present invention is a flow chart of the method adopted by the present invention. DETAILED DESCRIPTION

[0056] It should be understood that the embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope limited by the appended claims of the application.

[0057] The technical solution of the present invention is further specifically described below through embodiments.

[0058] A load regulation method based on base station energy storage, comprising:

[0059] 1. Obtain the distribution network topology map; divide the active interval according to the topology map; collect historical load data through the carrier chip and establish a load consumption estimation model in the active interval based on the historical load data; perform initial load distribution based on the load consumption of each active interval.

[0060] The initial load distribution includes:

[0061] (1) Collect the historical average daily load change data of users in each functional area within the active area and perform standardization processing; the standardization processing formula is: in, is the standardized daily average load of each functional area; α i is the standardized coefficient of the load of each functional area; Q i is the total load of each functional area; the same functional area in different active areas uses the same standardization coefficient.

[0062] (2) The standardized daily average load change data of each functional area within the active area are fitted by the ant colony algorithm, and the load consumption estimation curve is formed by superposition;

[0063] (3) Calculate the average daily load consumption of each section through the load consumption estimation curve;

[0064] (4) Allocate load power to each active section according to the average daily load consumption.

[0065] 2. Detect the energy storage status of each base station and determine the available power of the base station.

[0066] The current base station energy storage charge state is determined according to the base station energy storage charge state and the base station energy storage capacity at the previous moment; the energy storage charge state describes the real-time power quantity as follows:

[0067] Among them, S soc (t) is the charge state at the current moment; S soc (t-1) is the charge state at the previous moment; P for (t-1) is the power at the previous moment; η represents the energy storage charging and discharging efficiency in the base station; C bat Indicates the energy storage capacity of the base station.

[0068] Obtain the path power loss based on the optimal control path from the base station to the load node; ΔP = 3I 2 R×10 -3; Among them, ΔP is the line resistance power loss, unit kW; I is the phase current of the line, unit A; R is the resistance of each phase conductor of the line, unit Ω; set the power loss threshold, and the base station whose path power loss exceeds the threshold will not participate in the regulation and allocation process. This threshold is set manually. After it is set according to the maximum threshold range that humans can tolerate, it can also be adjusted according to different environments. Since the distance between some base stations and the actual load that needs to be allocated is too far, and a certain amount of power will be lost during the transportation path, the path loss should be taken into consideration.

[0069] 3. Collect load consumption data of each active section in real time and determine the control object.

[0070] Collect the real-time load and real-time load power consumption to obtain the load consumed on the day; mark the real-time load power consumption and fit to form a real-time load power consumption curve. Put the real-time load power consumption curve and the load consumption estimation curve in the same coordinate system, compare and select the time period when the real-time load power exceeds the limit.

[0071] If the cumulative excess time period reaches 2 hours, the active interval is selected as the control object; and the load consumption estimation curve for the day is adjusted according to the real-time load consumption power curve. Since load consumption is a continuous value, the excess power and the actual prediction are placed in the same coordinate system for comparison, and the excess time point and time period can be intuitively marked.

[0072] 4. Redistribute the load of the regulated object through the nearby sections and base stations of the regulated object; give priority to calling the base stations on the optimal regulated path to store available power.

[0073] The load redistribution method is as follows:

[0074] (1) According to the topological structure of the active distribution network, obtain the nearby intervals and base station distribution locations, energy storage capacity and load absorption information of the active interval; determine whether the nearby interval is a control object; the interval selected as a control object does not participate in load redistribution.

[0075] (2) Prioritize load regulation of the regulated object through the base stations near the regulated object, and determine the regulation time according to the base station load absorption power and path power loss; the start regulation time is recorded as t1; the time t2 when the real-time exceeds the adjusted daily load consumption estimate curve by 5% is recorded as the end regulation time; if the regulation is not ended when the base station energy storage is less than 2%, the load of the regulated object is redistributed through the nearby intervals.

[0076] (3) Analyze the energy storage capacity within the active interval participating in this load redistribution; determine the redistributed load capacity based on the energy storage capacity; and redistribute the load to the control object according to the optimal control path.

[0077] Based on the actual power shortage status, the base station energy storage participating in the deployment is deployed first. Since the load consumption estimation curve based on the original data cannot meet the actual load consumption demand, the expectation needs to be adjusted upward. After the expectation is adjusted upward, the actual regulated power still needs to be slightly higher than the adjusted expectation to ensure the load consumption of the day. The excess data can be adjusted according to actual needs and is not limited to 5%. If the expected value is large, the excess ratio should be appropriately reduced.

[0078] The capacity allocation ratio of nearby intervals participating in redistribution is as follows:

[0079] Collect the load consumption information of each functional area in the active section; let the number of functional areas participating in the allocation be N; the allocation amount of each functional area is allocated according to the following formula: Wherein, Q is the load required for the functional area; λ1, λ2, λ3, λ4, λ5, and λ6 are the factory load weighting coefficient, commercial area load weighting coefficient, residential area load weighting coefficient, school load weighting coefficient, hospital load weighting coefficient, and other places load weighting coefficient respectively; a1, a2, a3, a4, a5, and a6 are the proportion of the factory residual load to the factory initial allocation load, the commercial area residual load to the commercial area initial allocation load, the residential area residual load to the residential area initial allocation load, the school residual load to the school initial allocation load, the hospital residual load to the hospital initial allocation load, and other places residual load to the initial allocation load of other places; Q1, Q2, Q3, Q4, Q5, and Q i are the factory load, commercial area load, residential area load, school load, hospital load and the load of the i-th other place; j a j Q j Redistribute the charge to each grid interval; j takes a value of 1 to N; during the redistribution process, λ5<λ4<λ1<λ2=λ3<λ6.

[0080] If the base station cannot meet the power supply quota of the power shortage interval, the internal functional area needs to be quantitatively adjusted when the nearby interval is used to adjust the power shortage interval. The coefficient size is determined according to its power protection level, and the area with high power supply demand needs to be guaranteed first. Therefore, when allocating the power of the functional area, it is necessary to allocate it carefully, so its share should be smaller, while the non-power protection area can be allocated at will, and its allocated share should be larger.

[0081] 5. Detect distribution network information in real time and feedback the control results; conduct secondary detection of the energy storage status of each base station, and mark the power-deficient base stations as ordinary nodes on the distribution network topology map.

[0082] The division method of the nearby interval is as follows:

[0083] Step S1, marking each active interval as a load node on the topology map; marking the base station as a load node and a common node according to the energy storage capacity of the base station;

[0084] Step S2, select one of the load nodes as a reference node; refer to the topological diagram, take the reference node as the center, collect the non-loop connection paths from the center to each load node and the special node, and determine the number of load nodes in the connection path. If the number of load nodes is greater than one, discard the path; if the number of load nodes is one, select the connection path as the optimal control path;

[0085] Step S3, select the load nodes corresponding to all the optimal control paths; the base station corresponding to the load node is the base station participating in load redistribution; the method of dividing the base station into special nodes and ordinary nodes includes: if the base station energy storage is less than 2%, it is divided into an ordinary node; ordinary nodes no longer participate in load redistribution. When the base station energy storage is too low, it is necessary to supplement the base station energy storage by charging. If the node continues to be marked on the topology map, it will affect the division of the path. Therefore, the base station with too low energy storage needs to be excluded and no longer participate in load distribution. The active interval corresponding to the load node is the vicinity of the reference node.

Claims

1. A load regulation method based on base station energy storage, characterized in that: The method comprises: S1. Obtain the distribution network topology map; search for base stations; divide the active interval according to the topology map; collect historical load data through the carrier chip and establish a load consumption estimation model in the active interval according to the historical load data; perform initial load distribution according to the load consumption of each active interval; S2, detecting the energy storage status of each base station and determining the available power of the base station; S3. Collect the load consumption data of each active section in real time and determine the control object; S4, redistribute the load of the regulated object through the nearby sections and base stations of the regulated object; give priority to calling the available power of the base station on the optimal regulation path, The initial load distribution includes: S41: collecting the historical average daily load change data of users in each functional area within the active interval and performing standardization processing; fitting the standardized average daily load change data of each functional area within the active interval through the ant colony algorithm, and superimposing them to form a load consumption estimation curve; S42: Calculate the daily average load consumption of each interval through the load consumption estimation curve; S43: Allocate load power to each active section according to the daily average load consumption; S5. Real-time detection of distribution network information and feedback of control results; secondary detection of the energy storage status of each base station, and marking the power-deficient base stations as ordinary nodes on the distribution network topology map.

2. A load regulation method based on base station energy storage according to claim 1, characterized in that: The nearby interval is divided as follows: Step S21, marking each active interval as a load node on the topology map; marking the base station as a load node and a common node according to the energy storage capacity of the base station; Step S22, select one of the load nodes as a reference node; refer to the topological diagram, take the reference node as the center, collect the non-loop connection paths from the center to each load node and the special node, and determine the number of load nodes in the connection path. If the number of load nodes is greater than one, discard the path; if the number of load nodes is one, select the connection path as the optimal control path; Step S23, select the load nodes corresponding to all the optimal control paths; the base stations corresponding to the load nodes are the base stations participating in load redistribution; the active intervals corresponding to the load nodes are the vicinity intervals of the reference nodes.

3. A load regulation method based on base station energy storage according to claim 2, characterized in that: The method of dividing the base station into special nodes and ordinary nodes includes: when the energy storage of the base station is less than 2%, it is divided into an ordinary node; and the ordinary node no longer participates in load redistribution.

4. A load regulation method based on base station energy storage according to claim 1, characterized in that: The standardization process is as follows: in, is the standardized daily average load of each functional area; α i is the standardized coefficient of the load of each functional area; Q i is the total load of each functional area; the same functional area in different active areas uses the same standardization coefficient.

5. A load regulation method based on base station energy storage according to claim 1, characterized in that: The step S2 specifically includes: S61, judging the current base station energy storage charge state according to the base station energy storage charge state and the base station energy storage capacity at the previous moment; the energy storage charge state describes the real-time power quantity as follows: Among them, S soc (t) is the charge state at the current moment; S soc (t-1) is the charge state at the previous moment; P for (t-1) is the power at the previous moment; η represents the energy storage charging and discharging efficiency in the base station; C bat Indicates the energy storage capacity of the base station; S62, obtaining the path power loss according to the optimal control path from the base station to the load node; ΔP = 3I 2 R×10 -3 ; Among them, ΔP is the line resistance power loss, unit kW; I is the phase current of the line, unit A; R is the resistance of each phase conductor of the line, unit Ω; set the power loss threshold, and the base station whose path power loss exceeds the threshold will not participate in the regulation and allocation process.

6. A load regulation method based on base station energy storage according to claim 1, characterized in that: The control objects are divided according to the following steps: S71, collecting real-time load and real-time load power consumption, obtaining the load consumed on the day; marking the real-time load power consumption, and fitting to form a real-time load power consumption curve; S72. Place the real-time load power consumption curve and the load consumption estimate curve in the same coordinate system, compare and select the time period during which the real-time load power exceeds the limit; if the cumulative time period exceeds the limit for 2 hours, select the active interval as the control object; and adjust the load consumption estimate curve for the day according to the real-time load power consumption curve.

7. A load regulation method based on base station energy storage according to claim 6, characterized in that: The load redistribution method is as follows: Step S81, according to the active distribution network topology, obtain the nearby intervals of the active interval and the base station distribution location, energy storage capacity and load consumption information; Step S82, determining whether the nearby interval is a control object; The interval selected as the control object does not participate in load redistribution; Step S83, preferentially perform load control on the control object through base stations near the control object, and determine the control time according to the base station load absorption power and path power loss; the start control time is recorded as t1; When the real-time load consumption exceeds the estimated curve of the adjusted daily load consumption by 5%, the time t2 is recorded as the end of the regulation time; if the regulation is not ended when the base station energy storage is less than 2%, the load of the regulated object is redistributed through the nearby intervals; Step S84, analyzing the energy storage capacity within the active interval participating in this load redistribution; determining the redistributed load capacity according to the energy storage capacity; and performing load redistribution on the control object according to the optimal control path.

8. A load regulation method based on base station energy storage according to claim 7, characterized in that: The capacity allocation ratio of nearby intervals participating in redistribution is as follows: S91, collecting load consumption information of each functional area in the active section; assuming that the number of functional areas participating in the allocation is N; S92. The allocation of each functional area is allocated according to the following formula: Among them, Q is the load required by the functional area; λ1, λ2, λ3, λ4, λ5, and λ6 are the factory load weighting coefficient, commercial area load weighting coefficient, residential area load weighting coefficient, school load weighting coefficient, hospital load weighting coefficient, and other places load weighting coefficient respectively; a1, a2, a3, a4, a5, and a6 are the ratio of the factory's remaining load to the factory's initially allocated load, the ratio of the commercial area's remaining load to the commercial area's initially allocated load, the ratio of the residential area's remaining load to the residential area's initially allocated load, the ratio of the school's remaining load to the school's initially allocated load, the ratio of the hospital's remaining load to the hospital's initially allocated load, and the ratio of the remaining load of other places to the initially allocated load of other places; Q1, Q2, Q3, Q4, Q5, Q i They are the factory load, commercial area load, residential area load, school load, hospital load and the load of the ith other place; where λ j a j Q j Redistribute the charge to each grid interval; j takes a value of 1 to N; during the redistribution process, λ5<λ4<λ1<λ2=λ3<λ6.

Images