CN114678865A - Large-span multi-region power supply collaborative optimization system and method - Google Patents
Large-span multi-region power supply collaborative optimization system and method Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses a large-span multi-region power supply collaborative optimization system and a method, wherein the system comprises a plurality of power supply regions, a power plant, a converter station and an energy storage power station are distributed in each power supply region, the power plant is connected with load equipment through a power transmission line, the power plant is electrically connected with the converter station through a first shunt line, a second shunt line is connected to the first shunt line, the power plant is electrically connected with the energy storage power station through the second shunt line, the energy storage power station is electrically connected with the converter station through a third shunt line, and the converter stations are electrically connected with a standby line through double-loop lines; and the power transmission line, the first shunt circuit, the second shunt circuit and the third shunt circuit are all in communication connection with the SCADA monitoring system. Through according to power consumption custom in the power supply region, realize the high-efficient distribution of electric energy, improve the utilization ratio of electric energy to combine other regional power supply stable periods, can realize transregional intelligent scheduling, satisfy the regional power consumption demand of high power consumption, alleviate high power consumption regional electric wire netting power supply pressure.
Description
Technical Field
The invention relates to the technical field of power transmission and distribution, in particular to a large-span multi-region power supply collaborative optimization system and a method.
Background
With the rapid development of economy, the difference of the power supply and demand structures of power systems in different areas is gradually highlighted, the unbalanced regional power supply causes larger power supply pressure in part of the areas, the power supply in part of the areas is redundant, and energy waste in different degrees occurs.
Disclosure of Invention
The application provides a large-span multi-region power supply collaborative optimization system and method, aiming at the technical problems that the power supply balance effect of each region is poor, the operation time period of a user is changed for a region with large power supply pressure, and the improvement of the power supply capability of the region and the guarantee of the power supply stability of the region are not fundamentally solved.
The invention realizes the purpose through the following technical scheme:
the application discloses a large-span multi-region power supply collaborative optimization system, which comprises a plurality of power supply regions, wherein power plants, converter stations and energy storage power stations are distributed in the power supply regions, the power plants are connected into load equipment through power transmission lines, the power plants are electrically connected with the converter stations through first shunt lines, second shunt lines are connected onto the first shunt lines, the power plants are electrically connected with the energy storage power stations through the second shunt lines, the energy storage power stations are electrically connected with the converter stations through third shunt lines, and the converter stations are electrically connected with standby lines through double-loop lines; the power transmission line, the first shunt circuit, the second shunt circuit and the third shunt circuit are all in communication connection with an SCADA monitoring system, and the SCADA monitoring system is all in communication connection with an intelligent scheduling management platform.
Through according to power consumption custom in the power supply region, realize the high-efficient distribution of electric energy, improve the utilization ratio of electric energy to combine other regional power supply stable periods, can realize transregional intelligent scheduling, satisfy the regional power consumption demand of high power consumption, alleviate high power consumption regional electric wire netting power supply pressure.
Preferably, a first power supply scheduling line is integrally formed among the power plant, the first shunt line and the converter station, and a second power supply scheduling line is integrally formed among the power plant, the first shunt line, the second shunt line, the energy storage power station, the third shunt line and the converter station; the power station, the first shunt circuit, the second shunt circuit and the energy storage power station integrally form a first energy storage circuit, and the converter station, the first shunt circuit, the second shunt circuit and the energy storage power station integrally form a second energy storage circuit.
Preferably, the transmission line is provided with a TTU, an RTU and an FTU, and the TTU, the RTU and the FTU are all in communication connection with the SCADA monitoring system.
Preferably, the first shunt power line is provided with a main shunt switch and a first shunt switch, the power plant is electrically connected with the converter station through the main shunt switch and the first shunt switch, the second shunt power line is provided with a second shunt switch and a rectifying 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 rectifying station; and the third shunt circuit is provided with a third shunt switch, and the energy storage power station is electrically connected with the converter station through the third shunt switch.
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.
The application also discloses a large-span multi-region power supply collaborative optimization method, which comprises the following steps:
s1, acquiring historical electricity peak data and historical electricity valley data according to historical electricity data of each region;
s2, establishing an area load electricity utilization database according to the electricity utilization peak data and the electricity utilization valley data of the past year;
s3, acquiring the electricity utilization average value of each time node in the electricity utilization peak time period and the electricity utilization trough time period according to the regional load electricity utilization database;
s4, drawing a power consumption development curve according to the power consumption average value of each time node;
s5, acquiring a power utilization state, and analyzing a power utilization trend by combining a power utilization curve;
s6, determining a power utilization stable time period according to the power utilization trend and the power utilization state of the current time node;
and S7, planning the overall power supply line dispatching path by combining the power utilization trend of each region and the power utilization stable time period.
Preferably, the electricity peak data and the electricity valley data in the steps S1 and S2 include an electricity time node, an electricity consumption amount, and an electricity consumption duration.
Preferably, the method for determining the electricity utilization stabilization period in step S6 includes the steps of:
s61, judging the power utilization trend according to the first power utilization change rate K, wherein when K is a positive value, the power utilization trend indicates that the power utilization is developed to a peak time period, and when K is a negative value, the power utilization trend indicates that the power utilization is developed to a valley time period;
wherein the content of the first and second substances,
in the formula Q1For peak time T of electricity consumption1Electricity consumption in time, Q2Off-peak time T for power consumption2Electricity consumption in time, Q3As the current time node T3Electricity consumption in hours;
s62, determining a power consumption development time interval according to the second power change rate beta, and when K is a positive value and beta is a positive value, indicating that the power consumption of the current time node is in a rising edge power consumption wave interval; when K is a negative value and beta is a negative value, indicating that the power consumption of the current time node is in a falling edge power consumption wave band;
wherein the content of the first and second substances,
in the formula Q2Off-peak time T for power consumption2Electricity consumption in time, Q3For the current time node T3Electricity consumption in hours;
s63, determining the electricity utilization stable time interval T according to the electricity utilization development time interval, and if the current time node T3When the electricity consumption is in the electricity consumption wave band on the rising edge, and the current electricity consumption is 0.8Q1＞Q3＞Q2When the power utilization stable period T is at T2To
To (c) to (d); if the current time node T3When the electricity consumption is in the electricity consumption wave band of the falling edge, and the current electricity consumption is 0.8Q1＞Q3＞Q2Then the electricity utilization stable time period T is in
To T2In the meantime.
Preferably, the method for planning the overall power supply line dispatching path in step S7 includes the following steps:
s71, determining a coincidence time period and a gap time period of the electricity utilization stable time periods among the regions according to the electricity utilization stable time periods of the regions;
s72, locally storing redundant electric energy of the transmission lines in each area according to the superposition time period;
and S73, according to the gap time period and the electricity consumption of the electricity utilization peak in each area, when the electricity consumption of the electricity utilization peak in the power supply area is larger than that of the electricity utilization peak in the adjacent power supply area, setting the electricity utilization peak in the adjacent power supply area as a priority power supply area, intensively transmitting the redundant electric energy of the adjacent area to the priority power supply area, and simultaneously, locally storing the energy in the priority power supply area and merging the energy into the power transmission line.
Compared with the prior art, beneficial effect lies in:
1. the method has the advantages that through the electricity utilization habits in each power supply area, the efficient distribution of electric energy is realized, the utilization rate of the electric energy is improved, and in combination with the stable power supply period of other areas, the cross-area intelligent scheduling can be realized, the electricity utilization requirements of high electricity consumption areas are met, and the power supply pressure of a power grid in the high electricity utilization areas is reduced;
2. through improving the power supply power structure in the region, wholly realize two power supply lines and two energy storage lines to power supply line and energy storage line merge into reserve line, and then realize transregional power supply and energy storage, satisfy the power supply demand in the different regions.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is an overall architecture diagram of the present invention.
Fig. 2 is an overall workflow diagram of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings 1-2 as follows:
example one
As shown in fig. 1, the application discloses multizone power supply collaborative optimization system of large-span, including a plurality of power supply area, it has power plant, converter station and energy storage power station to distribute in the power supply area, the power plant passes through transmission line access load equipment, the power plant is connected with the converter station electricity through first shunting line, it has second shunting line to insert on the first shunting line, the power plant passes through second shunting line and is connected with the energy storage power station electricity, the energy storage power station pass through third shunting line with the converter station electricity is connected, the converter station all is connected with the stand-by line electricity through two return circuit lines, and the converter station inserts the stand-by line through two return circuit lines, not only can be to stand-by line transmission power, but also can absorb the electric power of other regional deliveries on the storage stand-by line.
A first power supply scheduling line is integrally formed among the power plant, the first shunt line and the converter station, and a second power supply scheduling line is integrally formed among the power plant, the first shunt line, the second shunt line, the energy storage power station, the third shunt line and the converter station; the power station, the first shunt circuit, the second shunt circuit and the energy storage power station integrally form a first energy storage circuit, and the converter station, the first shunt circuit, the second shunt circuit and the energy storage power station integrally form a second energy storage circuit. That is to say, the power plant can directly transmit power to the standby line through the first shunt line and the converter station, when the power generation amount of the power plant exceeds the power utilization requirement, the power plant can store redundant electric energy in the energy storage power station through the first shunt line and the second shunt line, and when the adjacent power supply area is in the power utilization peak period, the power can be transmitted to the standby line through the energy storage power station and the converter station, so that a second power supply line can be formed among the power plant, the energy storage power station and the converter station; when the adjacent power supply areas are in the power utilization valley, the electric energy can be transmitted to the standby line, at the moment, the power transmission line in the area can be directly supplied with power through the converter station and the first shunt line, and the electric energy can also be stored and stored in the energy storage power station through the converter station, the first shunt line and the second shunt line; the whole system can realize the redistribution or storage of redundant electric energy in the power grid through the mutual cooperation of multiple power supply paths and multiple energy storage paths, improve the power supply capacity of each region and improve the power supply stability of the power grid.
The transmission line, the first shunt circuit, the second shunt circuit and the third shunt circuit are all in communication connection with an SCADA monitoring system, the transmission line is provided with a TTU, an RTU and an FTU, the TTU, the RTU and the FTU are all in communication connection with the SCADA monitoring system, and the SCADA monitoring system is all in communication connection with an intelligent scheduling management platform. Namely, the SCADA monitoring system is used for monitoring the running state of the power grid in real time, the obtained running state parameters of the power grid are uploaded to the intelligent scheduling management platform in real time, and the intelligent scheduling management platform intelligently schedules power supply circuits of all areas according to the running state of the power grid of all areas, so that power supply balance of different areas is realized. It should be noted that the intelligent scheduling management platform is a 0MS scheduling management system based on D500 platform fusion.
The first shunt circuit is provided with a main shunt switch and a first shunt switch, 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 provided with a second shunt switch and a rectifying 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 rectifying station; the third shunt circuit is provided with a third shunt switch, and the energy storage power station is electrically connected with 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 with the SCADA monitoring system. That is to say, when the first power supply dispatching line is required to supply power, the first power supply dispatching line is switched on by controlling the main shunt switch and the first shunt switch to be switched on, so that a power plant can supply power to the standby line through the converter station, and meanwhile, the standby line can also supply power to the power transmission line through the converter station; when the generated energy of the power plant exceeds the demand and the energy storage power station starts to store energy, the first energy storage dispatching line is conducted, the energy storage power station starts to supply power by controlling the main shunt switch and the second shunt switch to be closed, when redundant electric energy appears in the standby line, the first shunt line and the second shunt line are conducted by closing the first shunt switch and the second shunt switch, and the electric energy transmitted on the standby line is stored to the energy storage power station through the converter station; when the adjacent areas are in the power consumption peak time period, the third shunt switch can be closed, the electric energy stored in the energy storage power station is used for accessing the standby circuit, the trans-area electric energy transmission is realized, and the power consumption requirements of different areas are met.
Example two
As shown in fig. 2, the present application further discloses a large-span multi-zone power supply collaborative optimization method, which includes the following steps:
and S1, acquiring the power consumption peak data and the power consumption valley data of each area according to the power consumption data of each area in the past year. That is, the historical electricity utilization data of each area is called through the power grid internal management system, and then the electricity utilization peak data and the electricity utilization valley data are called according to the historical electricity data, wherein the electricity utilization peak data and the electricity utilization valley data comprise electricity utilization time nodes, electricity consumption and electricity utilization duration.
And S2, establishing an area load electricity utilization database according to the electricity utilization peak data and the electricity utilization valley data of the past year. That is to say, MSSQL2008 is utilized, a visual enterprise manager is used for creating a load electricity utilization database, and after the database is built, the acquired data such as time nodes, electricity consumption, electricity utilization duration in the electricity utilization peak stage and time nodes, electricity consumption, electricity utilization duration in the electricity utilization valley stage are recorded into the database to form an electricity utilization data table.
And S3, acquiring the average value of the power consumption of each time node in the power consumption peak time period and the power consumption valley time period according to the regional load power consumption database. That is, the average of the power consumption of the time node of the power consumption peak period over the years is calculated through the power consumption data table in the database.
And S4, drawing a power consumption development curve according to the power consumption average value of each time node. That is, by calculating the average value of power consumption corresponding to each time node, a power consumption peak and a power consumption valley period power consumption development curve between two variables of time and power consumption can be plotted.
And S5, acquiring the power utilization state, and analyzing the power utilization trend by combining the power utilization curve. That is to say, the power utilization state of the power grid is acquired in real time by the SCADA monitoring system, meanwhile, the acquired power utilization parameters are fed back to the intelligent scheduling management platform by the SCADA monitoring system, and the intelligent scheduling management platform judges the trend of the current node power utilization state according to the acquired power utilization time nodes and power consumption and in combination with a power utilization development curve graph.
S6, determining a power utilization stable time period according to the power utilization trend and the power utilization state of the current time node, wherein the method for determining the power utilization stable time period comprises the following steps:
s61, judging the power utilization trend according to the first power utilization change rate K, wherein when K is a positive value, the power utilization trend indicates that the power utilization is developed to a peak time period, and when K is a negative value, the power utilization trend indicates that the power utilization is developed to a valley time period;
wherein the content of the first and second substances,
in the formula Q1For peak time T of electricity consumption1Electricity consumption in time, Q2For the time point T of the valley of power consumption2Electricity consumption in time, Q3For the current time node T3Electricity consumption in hours;
s62, determining a power consumption development time interval according to the second power change rate beta, and when K is a positive value and beta is a positive value, indicating that the power consumption of the current time node is in a rising edge power consumption wave interval; when K is a negative value and beta is a negative value, indicating that the power consumption of the current time node is in a falling edge power consumption wave band;
wherein, the first and the second end of the pipe are connected with each other,
in the formula Q2For the time point T of the valley of power consumption2Electricity consumption in time, Q3For the current time node T3Electricity consumption per hour;
s63, determining the electricity utilization stable time period T according to the electricity utilization development time period, and if the current time node T is3When the electricity consumption is in the electricity consumption wave band on the rising edge, and the current electricity consumption is 0.8Q1＞Q3＞Q2When the power utilization stable period T is at T2To
To (c) to (d); if the current time node T3When the electricity consumption is in the electricity consumption wave band of the falling edge, and the current electricity consumption is 0.8Q1＞Q3＞Q2Then the electricity utilization stable time period T is in
To T2In the meantime.
S7, planning the overall power supply line dispatching path by combining the power utilization trend of each region and the power utilization stable time period, wherein the overall power supply line dispatching path planning method comprises the following steps:
and S71, determining the overlapping time period and the gap time period of the electricity utilization stable time periods among the areas according to the electricity utilization stable time periods of the areas. That is, the electrical stability periods determined in the respective regions are compared and distinguished, and the overlapping electrical stability periods and the gap periods between the respective regions are defined.
And S72, locally storing the redundant electric energy of the transmission lines in each area according to the superposition time period. That is to say, in the overlapping time period, each area is in a stable power supply state with low power supply pressure, the electric energy stored by the power grid is redundant, at the moment, the electric energy can be distributed to the standby lines, and the redundant electric energy is collected and stored in each energy storage power station by using the standby lines, or can be directly stored in the energy storage power station in the area.
And S73, according to the gap time period and the electricity consumption of the electricity consumption peak in each area, when the electricity consumption peak in the power supply area is larger than that in the adjacent power supply area, setting the electricity consumption peak in the adjacent power supply area as a priority power supply area, wherein the priority power supply area is in the electricity consumption peak time period, the redundant electric energy in the adjacent area can be intensively transmitted to the priority power supply area, and meanwhile, the local energy storage in the priority power supply area is merged into the power transmission line.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (9)
1. The large-span multi-region power supply collaborative optimization system is characterized by comprising a plurality of power supply regions, wherein power plants, converter stations and energy storage power stations are distributed in the power supply regions, the power plants are connected into load equipment through power transmission lines, the power plants are electrically connected with the converter stations through first shunt lines, second shunt lines are connected onto the first shunt lines, the power plants are electrically connected with the energy storage power stations through the second shunt lines, the energy storage power stations are electrically connected with the converter stations through third shunt lines, and the converter stations are electrically connected with standby lines through double-loop lines; the power transmission line, the first shunt circuit, the second shunt circuit and the third shunt circuit are all in communication connection with an SCADA monitoring system, and the SCADA monitoring system is all in communication connection with an intelligent scheduling management platform.
2. The large-span multi-zone power supply collaborative optimization system according to claim 1, wherein a first power supply dispatching line is integrally formed among the power plant, the first shunt line and the converter station, and a second power supply dispatching line is integrally formed among the power plant, the first shunt line, the second shunt line, the energy storage power station, the third shunt line and the converter station; the power station, the first shunt circuit, the second shunt circuit and the energy storage power station integrally form a first energy storage circuit, and the converter station, the first shunt circuit, the second shunt circuit and the energy storage power station integrally form a second energy storage circuit.
3. The large-span multi-area power supply collaborative optimization system according to claim 1 or 2, wherein the power transmission line is arranged with a TTU, a RTU and a FTU, and the TTU, the RTU and the FTU are all connected with the SCADA monitoring system in a communication manner.
4. The large-span multi-zone power supply collaborative optimization system according to claim 1 or 2, wherein the first shunt power line is arranged with a main shunt switch and a first shunt switch, the power plant is electrically connected with the converter station through the main shunt switch and the first shunt switch, the second shunt power line is arranged with a second shunt switch and a rectifier station, 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; and the third shunt circuit is provided with a third shunt switch, and the energy storage power station is electrically connected with the converter station through the third shunt switch.
5. The large-span multi-zone power supply collaborative optimization system of claim 4, 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.
6. A large-span multi-area power supply collaborative optimization method is characterized by comprising the following steps:
s1, acquiring historical electricity peak data and historical electricity valley data according to historical electricity data of each region;
s2, establishing an area load electricity utilization database according to the electricity utilization peak data and the electricity utilization valley data of the past year;
s3, acquiring the electricity utilization average value of each time node in the electricity utilization peak time period and the electricity utilization valley time period according to the regional load electricity utilization database;
s4, drawing a power consumption development curve according to the power consumption average value of each time node;
s5, acquiring a power utilization state, and analyzing a power utilization trend by combining a power utilization curve;
s6, determining a power utilization stable time period according to the power utilization trend and the power utilization state of the current time node;
and S7, planning the overall power supply line dispatching path by combining the power utilization trend of each region and the power utilization stable time period.
7. The large-span multi-area power supply collaborative optimization method according to claim 6, wherein the power consumption peak data and the power consumption valley data in the step S1 and the step S2 include power consumption time nodes, power consumption amounts and power consumption duration.
8. The large-span multi-area power supply collaborative optimization method according to claim 7, wherein the determining method of the power utilization stabilization period in the step S6 includes the following steps:
s61, judging the power utilization trend according to the first power utilization change rate K, wherein when K is a positive value, the power utilization trend indicates that the power utilization is developed to a peak time period, and when K is a negative value, the power utilization trend indicates that the power utilization is developed to a valley time period;
wherein the content of the first and second substances,
in the formula Q1For peak time T of electricity consumption1Electric power consumption of time, Q2For the time point T of the valley of power consumption2Electric power consumption of time, Q3For the current time node T3Electricity consumption in hours;
s62, determining a power consumption development time period according to the second power consumption change rate beta, and when K is a positive value and beta is a positive value, indicating that the power consumption of the current time node is in a rising edge power consumption wave band; when K is a negative value and beta is a negative value, indicating that the power consumption of the current time node is in a falling edge power consumption wave band;
wherein, the first and the second end of the pipe are connected with each other,
in the formula Q2For the time point T of the valley of power consumption2Electricity consumption in time, Q3For the current time node T3Electricity consumption in hours;
s63, determining the electricity utilization stable time period T according to the electricity utilization development time period, and if the current time node T is3When the electricity consumption is in the electricity consumption wave band on the rising edge, and the current electricity consumption is 0.8Q1＞Q3＞Q2When the power utilization stable period T is at T2To
To (c) to (d); if the current time node T3When the electricity consumption is in the electricity consumption wave band of the falling edge, and the current electricity consumption is 0.8Q1＞Q3＞Q2Then the electricity utilization stable time period T is in
To T2In between.
9. The large-span multi-region power supply collaborative optimization method according to claim 6, wherein the overall power supply line scheduling path planning method in step S7 includes the following steps:
s71, determining a coincidence time period and a gap time period of the electricity utilization stable time periods among the regions according to the electricity utilization stable time periods of the regions;
s72, locally storing redundant electric energy of the transmission lines in each area according to the superposition time period;
and S73, according to the gap time period and the electricity consumption of the electricity utilization peak in each area, when the electricity consumption of the electricity utilization peak in the power supply area is larger than that of the electricity utilization peak in the adjacent power supply area, setting the electricity utilization peak in the adjacent power supply area as a priority power supply area, intensively transmitting the redundant electric energy of the adjacent area to the priority power supply area, and simultaneously, locally storing the energy in the priority power supply area and merging the energy into the power transmission line.
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