Large-span, multi-regional power supply collaborative optimization system and method

Abstract

This invention discloses a large-span, multi-regional power supply collaborative optimization system and method. The system includes several power supply areas, each containing power plants, converter stations, and energy storage power stations. Power plants are connected to load equipment via transmission lines. Each power plant is electrically connected to a converter station via a first branch line, which is connected to a second branch line. The energy storage power station is then electrically connected to the converter station via a third branch line. Each converter station is electrically connected to a backup line via a dual-circuit line. All transmission lines, the first branch line, the second branch line, and the third branch line are communicatively connected to a SCADA monitoring system. By analyzing electricity consumption habits within the power supply areas, efficient power allocation is achieved, improving power utilization. Furthermore, by combining this with stable power supply periods in other areas, cross-regional intelligent dispatching can be realized, meeting the electricity demand of high-consumption areas and reducing the power grid pressure in these areas.

Description

Technical Field

[0001] This invention relates to the field of power transmission and distribution technology, and in particular to a large-span, multi-regional power supply collaborative optimization system and method. Background Technology

[0002] With rapid economic development, the differences in power supply and demand structures in different regions have become increasingly prominent. Regional power imbalances have resulted in some regions experiencing significant power pressure and others having redundant power supplies, leading to varying degrees of energy waste. Currently, to balance power supply across regions, the main approach is to establish stable power supply development models and rationally schedule power lines in different regions to address these differences. However, the effect of balancing power supply in different regions is not ideal. Moreover, in areas with high power pressure, the main approach is peak shaving and valley filling, which involves scheduling some users to work during off-peak hours. Simply changing the users' work hours does not fundamentally alter the regional power supply structure and has not addressed the root causes of the problem in improving regional power supply capacity and ensuring regional power supply stability. Summary of the Invention

[0003] In response to the current poor power supply balance in various regions, and the fact that changing user work hours in areas with high power supply pressure has not fundamentally solved the technical problem of improving regional power supply capacity and ensuring regional power supply stability, this application proposes a large-span multi-regional power supply collaborative optimization system and method.

[0004] The present invention achieves the above objectives through the following technical solutions:

[0005] This application discloses a large-span, multi-regional power supply collaborative optimization system, comprising several power supply areas. Within each power supply area are distributed power plants, converter stations, and energy storage power stations. The power plants are connected to load equipment via transmission lines. Each power plant is electrically connected to a converter station via a first branch line, which is connected to a second branch line. The power plants are electrically connected to the energy storage power stations via the second branch line, and the energy storage power stations are electrically connected to the converter stations via a third branch line. Each converter station is electrically connected to a backup line via a dual-circuit line. The transmission lines, the first branch line, the second branch line, and the third branch line are all communicatively connected to a SCADA monitoring system, which is communicatively connected to an intelligent dispatch management platform.

[0006] By analyzing electricity consumption habits within the power supply area, efficient power allocation can be achieved, improving power utilization. Furthermore, by combining this with stable power supply periods in other areas, cross-regional intelligent dispatching can be realized to meet the electricity demand of high-power-consumption areas and reduce the power supply pressure on the power grid in these areas.

[0007] Preferably, the power plant, the first diversion line, and the converter station together form a first power supply dispatch line; the power plant, the first diversion line, the second diversion line, the energy storage power station, the third diversion line, and the converter station together form a second power supply dispatch line; the power plant, the first diversion line, the second diversion line, and the energy storage power station together form a first energy storage line; and the converter station, the first diversion line, the second diversion line, and the energy storage power station together form a second energy storage line.

[0008] Preferably, the transmission line is equipped with TTUs, RTUs, and FTUs, and the TTUs, RTUs, and FTUs are all communicatively connected to the SCADA monitoring system.

[0009] Preferably, the first shunt line is equipped with a main shunt switch and a first shunt switch, and the power plant is electrically connected to the converter station through the main shunt switch and the first shunt switch; the second shunt line is equipped with a second shunt switch and a rectifier station, and the power plant is electrically connected to the energy storage station through the first shunt switch, the second shunt switch, and the rectifier station; the third shunt line is equipped with a third shunt switch, and the energy storage station is electrically connected to the converter station through the third shunt switch.

[0010] Preferably, the main shunt switch, the first shunt switch, the second shunt switch, and the third shunt switch are electrically connected to the SCADA monitoring system.

[0011] This application also discloses a method for coordinated optimization of power supply across large spans and multiple regions, including the following steps:

[0012] S1. Based on the historical electricity consumption data of each region, obtain the historical peak electricity consumption data and the historical low electricity consumption data;

[0013] S2. Establish a regional load electricity consumption database based on historical peak and off-peak electricity consumption data;

[0014] S3. Based on the regional load electricity consumption database, obtain the average electricity consumption at each time point during peak and off-peak periods;

[0015] S4. Draw an electricity consumption development curve based on the average electricity consumption at each time point;

[0016] S5. Obtain electricity consumption status and analyze electricity consumption trends by combining electricity consumption curves;

[0017] S6. Determine the period of stable electricity consumption based on electricity consumption trends and the current electricity consumption status at this time.

[0018] S7. Based on the electricity consumption trends and stable electricity consumption periods in each region, plan the overall power supply line dispatching route.

[0019] Preferably, the peak and off-peak electricity data in steps S1 and S2 include electricity consumption time points, electricity consumption, and electricity consumption duration.

[0020] Preferably, the method for determining the stable power consumption period in step S6 includes the following steps:

[0021] S61. Based on the first electricity consumption change rate K, the electricity consumption trend is judged. When K is positive, it indicates that electricity consumption is developing towards peak periods. When K is negative, it indicates that electricity consumption is developing towards off-peak periods.

[0022] in, In the formula, Q1 is the electricity consumption at peak time T1, Q2 is the electricity consumption at off-peak time T2, and Q3 is the electricity consumption at the current time T3.

[0023] S62. Determine the electricity consumption development period based on the second electricity consumption change rate β. When K is positive and β is positive, it indicates that the electricity consumption at the current time point is in the rising edge of the electricity consumption band; when K is negative and β is negative, it indicates that the electricity consumption at the current time point is in the falling edge of the electricity consumption band.

[0024] in, In the formula, Q2 is the electricity consumption at the off-peak time T2, and Q3 is the electricity consumption at the current time T3;

[0025] S63. Based on the electricity consumption development period, determine the stable electricity consumption period T. If the electricity consumption at the current time point T3 is in the rising edge of the electricity consumption band, and the current electricity consumption is 0.8Q1 > Q3 > Q2, then the stable electricity consumption period T is from T2 to... Between; if the current time node T3's electricity consumption is in the falling edge of the electricity consumption band, and the current electricity consumption is 0.8Q1 > Q3 > Q2, then the stable electricity consumption period T is in Between T2 and T2.

[0026] Preferably, the overall power supply line scheduling path planning method in step S7 includes the following steps:

[0027] S71. Based on the stable electricity consumption periods in each region, determine the overlapping and gap periods between the stable electricity consumption periods in each region.

[0028] S72, based on the overlapping time period, the redundant electrical energy of the transmission lines in each area is stored locally.

[0029] S73. Based on the time interval and peak electricity consumption of each area, when the peak electricity consumption of the power supply area is greater than that of the adjacent power supply area, it is set as a priority power supply area. The redundant power of the adjacent area is concentrated and transmitted to the priority power supply area. At the same time, the local energy storage of the priority power supply area is connected to the transmission line.

[0030] Compared with existing technologies, the beneficial effects are:

[0031] 1. By understanding the electricity consumption habits in each power supply area, efficient power allocation can be achieved, improving the utilization rate of electricity. Furthermore, by combining the stable power supply periods in other areas, cross-regional intelligent dispatching can be realized to meet the electricity demand of high-power-consumption areas and reduce the power supply pressure on the power grid in high-power-consumption areas.

[0032] 2. By improving the power supply structure within the region, a dual power supply line and a dual energy storage line are realized as a whole. Furthermore, the power supply line and the energy storage line are integrated into the backup line, thereby enabling cross-regional power supply and energy storage to meet the power supply needs of different regions. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is the overall architecture diagram of the present invention.

[0035] Figure 2 This is a flowchart of the overall workflow of the present invention. Detailed Implementation

[0036] The following is in conjunction with the appendix Figure 1-2 The technical solution of the present invention will be further explained below:

[0037] Example 1

[0038] like Figure 1As shown, this application discloses a large-span multi-regional power supply collaborative optimization system, including several power supply areas. Power plants, converter stations, and energy storage power stations are distributed within the power supply areas. The power plants are connected to load equipment through transmission lines. The power plants are electrically connected to the converter stations through a first shunt line. A second shunt line is connected to the first shunt line. The power plants are electrically connected to the energy storage power stations through the second shunt line. The energy storage power stations are electrically connected to the converter stations through a third shunt line. Each converter station is electrically connected to a backup line through a dual-circuit line. The converter stations can not only transmit power to the backup line, but also absorb and store power transmitted from other areas on the backup line.

[0039] The power plant, the first diversion line, and the converter station together form a first power supply dispatch line; the power plant, the first diversion line, the second diversion line, the energy storage power station, the third diversion line, and the converter station together form a second power supply dispatch line; the power plant, the first diversion line, the second diversion line, and the energy storage power station together form a first energy storage line; the converter station, the first diversion line, the second diversion line, and the energy storage power station together form a second energy storage line. In other words, power plants can directly supply power to backup lines through the first shunt line and converter station. When the power plant's output exceeds the demand, it can store excess energy in an energy storage station through the first and second shunt lines. When adjacent power supply areas are experiencing peak demand, power can be supplied to backup lines through the energy storage station and converter station, thus forming a second power supply line between the power plant, energy storage station, and converter station. When adjacent power supply areas are experiencing low demand, energy can be supplied to backup lines. At this time, power can be directly supplied to the local transmission lines through the converter station and the first shunt line. Alternatively, energy can be stored in the energy storage station through the converter station, the first shunt line, and the second shunt line. Through the coordinated operation of multiple power supply paths and multiple energy storage paths, the redistribution or storage of excess energy in the power grid can be achieved, improving the power supply capacity of various regions and enhancing the stability of the power grid.

[0040] The transmission lines, the first shunt line, the second shunt line, and the third shunt line are all communicatively connected to the SCADA monitoring system. The transmission lines are equipped with TTUs, RTUs, and FTUs, all of which are communicatively connected to the SCADA monitoring system. The SCADA monitoring system is also communicatively connected to the intelligent dispatch management platform. In other words, the SCADA monitoring system uses real-time power grid operation status data, and the acquired power grid operation status parameters are uploaded to the intelligent dispatch management platform in real time. The intelligent dispatch management platform intelligently dispatches power supply lines in each region based on the power grid operation status of each region, achieving power supply balance across different regions. It should be noted that the intelligent dispatch management platform is an OMS dispatch management system integrated with the D500 platform.

[0041] The first shunt line is equipped with a main shunt switch and a first shunt switch. The power plant is electrically connected to the converter station through the main shunt switch and the first shunt switch. The second shunt line is equipped with a second shunt switch and a rectifier station. The power plant is electrically connected to the energy storage station through the first shunt switch, the second shunt switch, and the rectifier station. The third shunt line is equipped with a third shunt switch. The energy storage station is electrically connected to the converter station through the third shunt switch. The main shunt switch, the first shunt switch, the second shunt switch, and the third shunt switch are electrically connected to the SCADA monitoring system. In other words, when the primary power dispatch line is needed, the primary power dispatch line can be activated by closing the main shunt switch and the first shunt switch, allowing the power plant to supply power to the backup line through the converter station. Simultaneously, the backup line can also supply power to the transmission line through the converter station. When the power plant's output exceeds demand and the energy storage station begins storing energy, the primary energy storage dispatch line can be activated by closing the main shunt switch and the second shunt switch, allowing the energy storage station to supply power. When redundant power is available on the backup line, the primary and second shunt switches can be closed to activate both lines, allowing the power transmitted on the backup line to be stored at the energy storage station through the converter station. When adjacent areas are experiencing peak electricity demand, the energy stored at the energy storage station can be connected to the backup line by closing the third shunt switch, enabling cross-regional power transmission to meet the electricity needs of different areas.

[0042] Example 2

[0043] like Figure 2 As shown, this application also discloses a method for coordinated optimization of power supply across large spans and multiple regions, comprising the following steps:

[0044] S1. Based on the historical electricity consumption data of each region, obtain the historical peak electricity consumption data and the historical off-peak electricity consumption data. That is, retrieve the historical electricity consumption data of each region through the internal power grid management system, and then retrieve the peak electricity consumption data and the historical off-peak electricity consumption data based on the historical data. The peak electricity consumption data and the off-peak electricity consumption data include the electricity consumption time node, the amount of electricity consumed, and the duration of electricity consumption.

[0045] S2. Based on historical peak and off-peak electricity consumption data, establish a regional load electricity consumption database. That is, using MSSQL 2008 and the visual enterprise manager, create the load electricity consumption database. After the database is built, input the acquired data, including the time points, electricity consumption, and duration of peak and off-peak electricity consumption, into the database to form an electricity consumption data table.

[0046] S3. Based on the regional load electricity consumption database, obtain the average electricity consumption at each time point during peak and off-peak periods. In other words, calculate the average electricity consumption at each time point during peak periods over the years using the electricity consumption data table in the database.

[0047] S4. Based on the average electricity consumption at each time point, plot the electricity consumption development curve. In other words, by calculating the average electricity consumption at each time point, a graph showing the electricity consumption development during peak and off-peak periods can be plotted, relating to the two variables of time and electricity consumption.

[0048] S5. Obtain electricity consumption status and analyze electricity consumption trends based on electricity consumption curves. In other words, the SCADA monitoring system is used to obtain the real-time electricity consumption status of the power grid. At the same time, the SCADA monitoring system feeds back the obtained electricity consumption parameters to the intelligent dispatch management platform. The intelligent dispatch management platform determines the current electricity consumption trend based on the obtained electricity consumption time nodes and electricity consumption, combined with the electricity consumption development curve.

[0049] S6. Based on electricity consumption trends and the current electricity consumption status, determine the stable electricity consumption period. The method for determining the stable electricity consumption period includes the following steps:

[0050] S61. Based on the first electricity consumption change rate K, the electricity consumption trend is judged. When K is positive, it indicates that electricity consumption is developing towards peak periods. When K is negative, it indicates that electricity consumption is developing towards off-peak periods.

[0051] in, In the formula, Q1 is the electricity consumption at peak time T1, Q2 is the electricity consumption at off-peak time T2, and Q3 is the electricity consumption at the current time T3.

[0052] S62. Determine the electricity consumption development period based on the second electricity consumption change rate β. When K is positive and β is positive, it indicates that the electricity consumption at the current time point is in the rising edge of the electricity consumption band; when K is negative and β is negative, it indicates that the electricity consumption at the current time point is in the falling edge of the electricity consumption band.

[0053] in, In the formula, Q2 is the electricity consumption at the off-peak time T2, and Q3 is the electricity consumption at the current time T3;

[0054] S63. Based on the electricity consumption development period, determine the stable electricity consumption period T. If the electricity consumption at the current time point T3 is in the rising edge of the electricity consumption band, and the current electricity consumption is 0.8Q1 > Q3 > Q2, then the stable electricity consumption period T is from T2 to... Between; if the current time node T3's electricity consumption is in the falling edge of the electricity consumption band, and the current electricity consumption is 0.8Q1 > Q3 > Q2, then the stable electricity consumption period T is in Between T2 and T2.

[0055] S7. Based on the electricity consumption trends and stable electricity consumption periods in each region, plan the overall power supply line dispatching route. The overall power supply line dispatching route planning method includes the following steps:

[0056] S71. Based on the stable electricity consumption periods in each region, determine the overlapping and gap periods between the stable electricity consumption periods in each region. In other words, by comparing and distinguishing the stable electricity consumption periods determined in each region, the overlapping and gap periods between the stable electricity consumption periods in each region are delineated.

[0057] S72, based on the overlapping time period, redundant electrical energy of transmission lines in each region is stored locally. That is to say, during the overlapping time period, each region is in a state of stable power supply and low power supply pressure, and the power grid stores redundant electrical energy. At this time, the electrical energy can be distributed to the backup lines, and the redundant electrical energy can be collected and stored in each energy storage station using the backup lines, or it can be directly stored in the energy storage station in the region.

[0058] S73. Based on the time interval and peak electricity consumption of each area, when the peak electricity consumption of the power supply area is greater than that of the adjacent power supply area, it is set as a priority power supply area. At this time, the priority power supply area is in the peak electricity consumption period, and the redundant power of the adjacent area can be concentrated and transmitted to the priority power supply area. At the same time, the local energy storage in the priority power supply area is connected to the transmission line.

[0059] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A large-span multi-area power supply collaborative optimization system, characterized in that, The power supply area includes power plants, converter stations and energy storage power stations distributed therein, the power plants are connected to load devices through power transmission lines, the power plants are electrically connected to the converter stations through first shunt lines, the first shunt lines are connected to second shunt lines, the power plants are electrically connected to the energy storage power stations through the second shunt lines, the energy storage power stations are electrically connected to the converter stations through third shunt lines, and the converter stations are electrically connected to standby lines through double-circuit lines; the power transmission lines, the first shunt lines, the second shunt lines and the third shunt lines are in communication connection with the SCADA monitoring system, and the SCADA monitoring system is in communication connection with the intelligent dispatching management platform; The power plants, the first shunt lines and the converter stations constitute a first power supply dispatching line, and the power plants, the first shunt lines, the second shunt lines, the energy storage power stations, the third shunt lines and the converter stations constitute a second power supply dispatching line; The power plants, the first shunt lines, the second shunt lines and the energy storage power stations constitute a first energy storage line, and the converter stations, the first shunt lines, the second shunt lines and the energy storage power stations constitute a second energy storage line; The method comprises the following steps: S1, obtaining annual peak power consumption data and annual valley power consumption data according to historical power consumption data of each region; S2, establishing a regional load power consumption database according to the annual peak power consumption data and the annual valley power consumption data; S3, obtaining power consumption average values of each time node in the peak power consumption period and the valley power consumption period according to the regional load power consumption database; S4, drawing a power consumption development curve according to the power consumption average values of each time node; S5, obtaining a power consumption state, and analyzing a power consumption trend in combination with the power consumption curve; S6, determining a power consumption stable period according to the power consumption trend and the current time node power consumption state; S7, planning a whole power supply line dispatching path in combination with the power consumption trend of each region and the power consumption stable period; The whole power supply line dispatching path planning method in the step S7 comprises the following steps: S71, determining a coincident time period and a gap time period between power consumption stable periods of each region according to the power consumption stable periods of each region; S72, locally storing redundant power of a power transmission line of each region according to the coincident time period; S73, when a peak power consumption of a power supply region is greater than a peak power consumption of an adjacent power supply region, setting the power supply region as a priority power supply region, concentrating redundant power of the adjacent region to the priority power supply region, and integrating local energy storage of the priority power supply region into a power transmission line according to the gap time period and the peak power consumption of each region; The peak power consumption data and the valley power consumption data in the steps S1 and S2 include a power consumption time node, a power consumption amount and a power consumption duration; The determination method of the power consumption stable period in the step S6 comprises the following steps: S61, judging a power consumption trend according to a first power consumption change rate K, when the K is a positive value, indicating that the power consumption develops towards a peak period, and when the K is a negative value, indicating that the power consumption develops towards a valley period; wherein, Q1 is the electricity consumption at the electricity peak time point T1, Q2 is the electricity consumption at the electricity valley time point T2, and Q3 is the electricity consumption at the current time point T3. S62, determine the power development period according to the second power consumption rate β, when K is positive and β is positive, it indicates that the current time node power consumption is in the rising edge power consumption wave band; when K is negative and β is negative, it indicates that the current time node power consumption is in the falling edge power consumption wave band; wherein, wherein Q2 is the electricity consumption at the electricity consumption low point T2, and Q3 is the electricity consumption at the current time point T3. S63, according to the electricity development period, determine the electricity stability period T, if the current time node T3 electricity quantity is in the rising edge electricity wave band, and the current electricity quantity 0.8Q1>Q3>Q2, then the electricity stability period T is between T2 and T3 T3; if the current time node T3 electricity quantity is in the falling edge electricity wave band, and the current electricity quantity 0.8Q1>Q3>Q2, then the electricity stability period T is between T3 and T2. T3.

2. The large-span multi-zone power supply collaborative optimization system of claim 1, wherein, The power transmission line is arranged with TTU, RTU and FTU, and the TTU, RTU and FTU are in communication connection with the SCADA monitoring system.

3. The large span multi-zone power supply collaborative optimization system of claim 1, wherein, The first shunt circuit is arranged with a main shunt switch and a first shunt switch, and the power plant is electrically connected with the converter station through the main shunt switch and the first shunt switch; the second shunt circuit is arranged with a second shunt switch and a rectifier station, and the power plant is electrically connected with the energy storage power station through the first shunt switch, the second shunt switch and the rectifier station; The third shunt circuit is arranged with a third shunt switch, and the energy storage power station is electrically connected with the converter station through the third shunt switch.

4. The large-span multi-zone power supply collaborative optimization system of claim 3, wherein, The main shunt switch, the first shunt switch, the second shunt switch and the third shunt switch are electrically connected with the SCADA monitoring system.

5. A method for large-span multi-area power supply collaborative optimization, characterized in that, The method comprises the following steps: S1, according to the historical power consumption data of each region, the historical power consumption peak data and the power consumption valley data are obtained; S2, according to the historical power consumption peak data and the power consumption valley data, the regional load power consumption database is established; S3, according to the regional load power consumption database, the power consumption peak period and the power consumption valley period are obtained; S4, according to the power consumption average value of each time node, the power consumption development curve is drawn; S5, the power consumption state is obtained, and the power consumption trend is analyzed combined with the power consumption curve; S6, according to the power consumption trend and the current time node power consumption state, the power consumption stable period is determined; S7, combined with the power consumption trend of each region and the power consumption stable period, the overall power transmission line scheduling path is planned; The overall power transmission line scheduling path planning method in the step S7 comprises the following steps: S71, according to the power consumption stable period of each region, the overlap time period and the gap time period between the power consumption stable periods of each region are determined; S72, according to the overlap time period, the local energy storage of the redundant power of each regional power transmission line; S73, according to the gap time period and the power consumption peak power consumption of each region, when the power consumption peak power consumption of the power supply region is greater than that of the adjacent power supply region, it is set as the priority power supply region, the redundant power of the adjacent region is concentrated and transmitted to the priority power supply region, and the local energy storage of the priority power supply region is integrated into the power transmission line; The power consumption peak data and the power consumption valley data in the step S1 and the step S2 comprise the power consumption time node, the power consumption and the power consumption time length; The determination method of the power consumption stable period in the step S6 comprises the following steps: S61, according to the first power consumption rate K, the power consumption trend is judged, when K is positive, it indicates that the power consumption develops to the peak period, and when K is negative, it indicates that the power consumption develops to the valley period; wherein, , wherein Q1 is the electricity consumption at the electricity peak time point T1, Q2 is the electricity consumption at the electricity valley time point T2, and Q3 is the electricity consumption at the current time point T3. S62, determining the power consumption development period according to the second power consumption change rate β, when K is positive and β is positive, it indicates that the power consumption at the current time node is in the rising power consumption wave band; when K is negative and β is negative, it indicates that the power consumption at the current time node is in the falling power consumption wave band; wherein, wherein Q2 is the electricity consumption at the electricity consumption valley time point T2, and Q3 is the electricity consumption at the current time point T3. S63, according to the electricity development period, determine the electricity stability period T, if the current time node T3 electricity quantity is in the rising edge electricity wave band, and the current electricity quantity 0.8Q1>Q3>Q2, then the electricity stability period T is between T2 and T3 T3; if the current time node T3 electricity quantity is in the falling edge electricity wave band, and the current electricity quantity 0.8Q1>Q3>Q2, then the electricity stability period T is between T3- T2.

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