Distributed photovoltaic electricity quantity and electricity price grading aggregation and reverse conduction method and device, computer equipment and storage medium

Abstract

The invention discloses a distributed photovoltaic electricity quantity and electricity price grading aggregation and reverse conduction method and device, computer equipment and a storage medium. Firstly, low-voltage distributed photovoltaic is aggregated to a medium-voltage feeder access point to which the low-voltage distributed photovoltaic belongs through a low-voltage electric quantity and electricity price aggregation method, and then the distributed photovoltaic medium-voltage feeder access point is aggregated to a medium-voltage single feeder through a medium-voltage single feeder electric quantity and electricity price aggregation method; and finally, aggregating the medium-voltage multi-feeder distributed photovoltaic electric quantity and electricity price through a medium-voltage multi-feeder electric quantity and electricity price aggregation method to form distributed photovoltaic aggregated electric quantity and electricity price to participate in market transaction. And the distributed photovoltaic aggregated electric quantity and the electricity price after the transaction are issued to numerous distributed photovoltaic power stations with medium and low voltage levels through a hierarchical reverse conduction method. According to the method, the complexity of participation of numerous small-capacity distributed photovoltaic power stations in the market transaction of the power distribution network is simplified, the distributed photovoltaic market transaction efficiency is improved, and thus the consumption capability of distributed photovoltaic is improved.

Description

Technical Field

[0001] The present invention belongs to the field of distributed photovoltaic aggregation technology, and specifically relates to a distributed photovoltaic electricity price grading aggregation and reverse conduction method, device, computer equipment and storage medium. Background Art

[0002] With the access of a large number of distributed photovoltaic power plants to the distribution network, the traditional quantity-price mechanism faces unprecedented challenges. Distributed photovoltaic power plants are small in scale, large in number, and geographically dispersed, which limits their participation in power market transactions and makes it difficult for them to gain market recognition. This phenomenon not only restricts the position of distributed photovoltaic power plants in the power market, but also makes it difficult for them to reflect their price advantages, inhibiting the economic benefits of distributed photovoltaic power plants and their potential contribution to the stable operation of the power system. At the same time, the power generation characteristics of distributed photovoltaic power plants are subject to the influence of meteorological conditions, and the output fluctuates significantly, which increases the difficulty of their response in the market. Due to the lack of unified large-scale management, a single distributed photovoltaic power plant is difficult to meet the response requirements of the real-time market, resulting in the difficulty of stabilizing the consumption of electricity during the peak period of photovoltaic power generation, which not only increases the difficulty of power system dispatching, but also may cause power waste or abandonment. In addition, distributed photovoltaic power plants are generally connected to low-voltage distribution networks. With the increase in the proportion of distributed photovoltaic access, it also brings distribution network operation problems such as voltage fluctuations and power imbalance, which puts higher requirements on traditional distribution network dispatching.

[0003] To address these challenges, it is necessary to propose a distributed photovoltaic power / electricity price hierarchical aggregation and reverse conduction method to aggregate geographically dispersed distributed photovoltaic power stations. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes a distributed photovoltaic power price grading aggregation and reverse conduction method, device, computer equipment and storage medium. It is used to solve the complexity of many distributed photovoltaic power stations participating in market transactions. It provides a reference for improving the efficiency of the power market and the utilization efficiency of distributed photovoltaics.

[0005] The technical solution of the present invention is as follows:

[0006] According to one aspect of the present application, a method for hierarchical aggregation and reverse conduction of distributed photovoltaic power prices is provided, including:

[0007] Aggregate the planned electricity quantity and the planned electricity price corresponding to the planned electricity quantity of the low-voltage distributed photovoltaic power station to the medium-voltage access point, and form the distributed photovoltaic aggregated planned electricity quantity and the distributed photovoltaic aggregated planned electricity price of the medium-voltage feeder access point respectively;

[0008] Aggregate the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, and form the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity price respectively;

[0009] Aggregate the distributed photovoltaic aggregated planned electricity and the aggregated planned electricity price corresponding to the aggregated planned electricity of each single medium-voltage feeder to form a multi-feeder aggregated planned electricity and a multi-feeder aggregated planned electricity price respectively;

[0010] The distributed photovoltaic medium-voltage multi-feeder electricity volume and electricity price after market transactions are transmitted back to each medium-voltage single feeder according to the planned electricity volume and electricity price, and further distributed to each access point of the single feeder and each low-voltage distributed photovoltaic power station.

[0011] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method of the distributed photovoltaic aggregation plan power at the medium voltage feeder access point is:

[0012]

[0013] Where: Q LV.agg is the planned electricity volume from n low-voltage distributed photovoltaic power stations to their medium-voltage feeder access points, n is the number of low-voltage distributed photovoltaic power stations, where k = 1, 2, ..., n, The planned power consumption of each low-voltage distributed photovoltaic power station.

[0014] According to the distributed photovoltaic electricity price hierarchical aggregation and reverse conduction method of the present application, in one possible implementation, the formation of the distributed photovoltaic aggregation planned electricity price of the medium-voltage feeder access point is based on the maximum electricity price method to aggregate the planned electricity prices corresponding to the planned electricity of each low-voltage distributed photovoltaic power station to the corresponding medium-voltage access point.

[0015] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the distributed photovoltaic aggregation planned power price calculation method of the medium voltage feeder access point is:

[0016]

[0017] Where: LV.agg is the planned electricity price after n low-voltage distributed photovoltaic power stations are gathered to their medium-voltage access points, The planned electricity price for each low-voltage distributed photovoltaic power station corresponding to the planned electricity volume.

[0018] According to the distributed photovoltaic electricity price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the medium voltage single feeder distributed photovoltaic aggregation plan electricity calculation method is:

[0019]

[0020] Where: Q FD is the planned power of low-voltage distributed photovoltaic aggregation at each access point on the medium-voltage single feeder and the planned power of distributed photovoltaic power stations directly connected to each access point, n is the number of access points of low-voltage distributed photovoltaic aggregation on the medium-voltage single feeder, where i = 1, 2, ..., n, is the planned power of low-voltage distributed photovoltaic aggregates at each access point on the medium-voltage single feeder, m is the number of distributed photovoltaics directly connected to each access point on the medium-voltage single feeder, where i = 1, 2, …, m, Plan the power consumption for each distributed photovoltaic power station directly connected to the medium voltage single feeder.

[0021] According to the distributed photovoltaic electricity price hierarchical aggregation and reverse conduction method of the present application, in one possible implementation, the formation of the medium-voltage single feeder distributed photovoltaic aggregation planned electricity price is based on the weighted average electricity price method to aggregate the planned electricity prices corresponding to the distributed photovoltaic planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs.

[0022] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method of the medium voltage single feeder distributed photovoltaic aggregation plan price is:

[0023]

[0024] Where: FD is the planned electricity price aggregated on a single medium voltage feeder, The planned electricity price for low voltage level aggregation to the feeder access point, Plan electricity prices for distributed PV power stations directly connected to a single medium voltage feeder.

[0025] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method of the multi-feeder aggregated planned power is:

[0026]

[0027] Where: Q FD.agg is the planned power of distributed photovoltaic aggregates on multiple medium-voltage feeders, K is the number of medium-voltage feeders, where j = 1, 2, ..., K, Plan the electricity consumption for each medium voltage single feeder distributed photovoltaic power station.

[0028] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in one possible implementation, the formation of the multi-feeder aggregated planned electricity price is based on the average electricity price method to aggregate the planned electricity prices corresponding to the planned electricity quantities of each single feeder distributed photovoltaic power.

[0029] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method of the multi-feeder aggregation planned power price is:

[0030]

[0031] Where: FD.agg The planned electricity price for distributed photovoltaic aggregation on medium voltage multi-feeder lines.

[0032] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the reverse conduction includes:

[0033] After the market transaction, the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price will be transmitted back to each medium-voltage single feeder according to the planned electricity proportion;

[0034] The distributed photovoltaic power generation and electricity price of the medium-voltage single feeder are reversely transmitted and distributed to each access point of the medium-voltage single feeder according to the planned power ratio;

[0035] The distributed photovoltaic power generation and electricity price at each access point of the medium-voltage single feeder are transmitted back to the low-voltage distributed photovoltaic power stations according to the planned electricity ratio.

[0036] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method for reverse conduction to each single medium voltage feeder is:

[0037]

[0038] Where: is the actual power consumption of distributed photovoltaic power on each medium voltage single feeder, Q FD.clr is the total power consumption of multiple medium-voltage feeders under the same substation, is the electricity price corresponding to the power consumption of distributed photovoltaic on each medium voltage single feeder, λ FD.clr It is the electricity price corresponding to the total power consumption of multiple medium-voltage feeders under the same substation.

[0039] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method for allocating the reverse conduction to each access point of the medium voltage single feeder is:

[0040]

[0041] Where: The power consumption of distributed photovoltaic connected to each direct access point of medium voltage single feeder, It is the electricity price corresponding to the power consumption of distributed photovoltaic connected to each direct access point of medium voltage single feeder.

[0042] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction method of the present application, in a possible implementation manner, the calculation method for reverse conduction to each low-voltage distributed photovoltaic power station is:

[0043]

[0044] Where: is the power consumption of each low-voltage distributed photovoltaic power station, The electricity price corresponding to the amount of electricity consumed by each low-voltage distributed photovoltaic power station.

[0045] According to one aspect of the present application, a distributed photovoltaic power quantity and price hierarchical aggregation and reverse conduction device is provided, the device comprising: a distributed photovoltaic aggregation module at a medium-voltage feeder access point, responsible for aggregating the planned power quantity and the planned power price corresponding to the planned power quantity of a low-voltage distributed photovoltaic power station to a medium-voltage access point, and forming a distributed photovoltaic aggregation planned power quantity of the medium-voltage feeder access point and a distributed photovoltaic aggregation planned power price of the medium-voltage feeder access point respectively;

[0046] The medium-voltage single-feeder distributed photovoltaic aggregation module is responsible for aggregating the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, and forming the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price respectively;

[0047] The multi-feeder aggregation module is responsible for aggregating the distributed photovoltaic aggregation plan electricity and the aggregation plan electricity price corresponding to the aggregation plan electricity of each single medium voltage feeder, and forming the multi-feeder aggregation plan electricity and the multi-feeder aggregation plan electricity price respectively;

[0048] The market transaction module is responsible for transmitting the distributed photovoltaic medium-voltage multi-feeder electricity and electricity prices after market transactions to each medium-voltage single feeder according to the planned electricity and electricity prices, and further distributing them to each access point of the single feeder and each low-voltage distributed photovoltaic power station, so as to reasonably distribute the electricity and electricity prices before and after the transaction.

[0049] According to the distributed photovoltaic electricity price hierarchical aggregation and reverse conduction device of the present application, in a possible implementation manner, in the distributed photovoltaic aggregation module of the medium-voltage feeder access point, the formation of the distributed photovoltaic aggregation planned electricity price of the medium-voltage feeder access point is based on the maximum electricity price method to aggregate the planned electricity prices corresponding to the planned electricity of each low-voltage distributed photovoltaic power station to the corresponding medium-voltage access point.

[0050] According to the distributed photovoltaic electricity price hierarchical aggregation and reverse conduction device of the present application, in a possible implementation mode, in the medium-voltage single-feeder distributed photovoltaic aggregation module, the formation of the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price is based on the weighted average electricity price method to aggregate the planned electricity prices corresponding to the distributed photovoltaic planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs.

[0051] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction device of the present application, in a possible implementation manner, in the multi-feeder aggregation module, the formation of the multi-feeder aggregated planned electricity price is based on the average electricity price method to aggregate the planned electricity prices corresponding to the planned electricity quantities of each single feeder distributed photovoltaic.

[0052] According to the distributed photovoltaic power price hierarchical aggregation and reverse conduction device of the present application, in a possible implementation mode, the reverse conduction of the market transaction module includes:

[0053] After the market transaction, the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price will be transmitted back to each medium-voltage single feeder according to the planned electricity proportion;

[0054] The distributed photovoltaic power generation and electricity price of the medium-voltage single feeder are reversely transmitted and distributed to each access point of the medium-voltage single feeder according to the planned power ratio;

[0055] The distributed photovoltaic power generation and electricity price at each access point of the medium-voltage single feeder are transmitted back to the low-voltage distributed photovoltaic power stations according to the planned electricity ratio.

[0056] According to one aspect of the present application, a computer device is provided, comprising: a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the distributed photovoltaic electricity price tiered aggregation and reverse conduction method as described above.

[0057] According to one aspect of the present application, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a code set or an instruction set is stored, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the distributed photovoltaic electricity price tiered aggregation and reverse conduction method as described above.

[0058] According to another aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the distributed photovoltaic power price tiered aggregation and reverse conduction method provided in the above optional implementation.

[0059] The beneficial effects of the present invention are as follows: first, the planned electricity and electricity price of low-voltage distributed photovoltaics are aggregated to the medium-voltage feeder access point to which they belong; secondly, the distributed photovoltaic planned electricity and electricity price of the access point in the medium-voltage single feeder are aggregated; finally, the distributed photovoltaic planned electricity and electricity price of multiple medium-voltage feeders under the same substation are aggregated to form a medium-voltage multi-feeder aggregated planned electricity and electricity price to participate in market transactions. The electricity and electricity price after the transaction are transmitted step by step to the distributed photovoltaic power stations at each voltage level through the method of hierarchical reverse conduction. It effectively simplifies the complexity of many distributed photovoltaic power stations at all levels participating in market transactions, allowing distributed photovoltaics to participate in electricity market quantity and price transactions in a large-scale manner, and improving the overall absorption capacity of distributed photovoltaics. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a schematic diagram of the overall process of distributed photovoltaic power price classification aggregation and reverse conduction method;

[0061] Figure 2 It is a detailed flow chart of the steps S100 of the distributed photovoltaic power price grading aggregation and reverse conduction method;

[0062] Figure 3 It is a detailed flow chart of step S200 of the distributed photovoltaic power price grading aggregation and reverse conduction method;

[0063] Figure 4 It is a detailed flow chart of the steps S300 of the distributed photovoltaic power price grading aggregation and reverse conduction method;

[0064] Figure 5 It is a detailed flow chart of the steps S400 of the distributed photovoltaic power price grading aggregation and reverse conduction method;

[0065] Figure 6 Schematic diagram of the structural layout of distributed photovoltaics at different voltage levels and their step-by-step aggregation. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0067] See also Figure 1 , which shows a distributed photovoltaic power price grading aggregation and reverse conduction method provided by an embodiment of the present invention, the method comprising:

[0068] S100: Aggregate the planned electricity quantity of the low-voltage distributed photovoltaic power station and the planned electricity price corresponding to the planned electricity quantity to the medium-voltage access point, and form the distributed photovoltaic aggregated planned electricity quantity of the medium-voltage feeder access point and the distributed photovoltaic aggregated planned electricity price of the medium-voltage feeder access point respectively.

[0069] S200: Aggregate the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, to form the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity price respectively.

[0070] S300: Aggregate the distributed photovoltaic aggregated planned electricity of each single medium voltage feeder and the aggregated planned electricity price corresponding to the aggregated planned electricity to form a multi-feeder aggregated planned electricity and a multi-feeder aggregated planned electricity price respectively.

[0071] S400: The distributed photovoltaic medium-voltage multi-feeder electricity and electricity price after market transactions are transmitted back to each medium-voltage single feeder according to the planned electricity and electricity price, and further distributed to each single feeder access point and each low-voltage distributed photovoltaic power station.

[0072] In the face of many distributed photovoltaic power stations with small capacity and strong dispersion connected to the distribution network, this plan proposes to aggregate the planned electricity / electricity price of the distributed photovoltaic power stations in the distribution network through a hierarchical aggregation method of low-voltage, medium-voltage single feeder and medium-voltage multiple feeders. The distributed photovoltaic aggregated electricity / electricity price formed will participate in electricity trading. The distributed photovoltaic aggregated electricity / electricity price after the transaction will be sent to each distributed photovoltaic power station through a hierarchical reverse conduction method.

[0073] S100 involves aggregating the planned electricity of each low-voltage distributed photovoltaic power station to its medium-voltage access point to form a distributed photovoltaic aggregated planned electricity at the medium-voltage feeder access point. At the same time, the corresponding planned electricity prices are aggregated using the maximum electricity price method to form a distributed photovoltaic aggregated planned electricity price at the medium-voltage feeder access point. This step simplifies the aggregation process, reduces complexity, improves aggregation efficiency, and ensures the efficiency and accuracy of electricity price aggregation.

[0074] Please refer to Figure 2, which shows a flowchart of an exemplary distributed photovoltaic power price grading aggregation and reverse conduction method S100 of the present application, and its contents include:

[0075] S101: Sum and aggregate the planned power of each low-voltage distributed photovoltaic power station to the corresponding medium-voltage access point to form the distributed photovoltaic aggregated planned power of the medium-voltage feeder access point. The calculation formula is as follows:

[0076]

[0077] Where: Q LV.agg is the planned electricity volume from n low-voltage distributed photovoltaic power stations to their medium-voltage feeder access points, n is the number of low-voltage distributed photovoltaic power stations (k = 1, 2, ..., n), The planned power consumption of each low-voltage distributed photovoltaic power station.

[0078] S102: Based on the maximum electricity price method, the planned electricity prices corresponding to the planned electricity quantities of each low-voltage distributed photovoltaic power station are aggregated to the corresponding medium-voltage access point to form the distributed photovoltaic aggregated planned electricity price of the medium-voltage feeder access point.

[0079] The maximum electricity price method can simplify the planned electricity price aggregation process of each low-voltage distributed photovoltaic power station, reduce complexity, and make aggregation more efficient. The calculation formula is as follows:

[0080]

[0081] Where: LV.agg is the planned electricity price after n low-voltage distributed photovoltaic power stations are gathered to their medium-voltage access points, The planned electricity price for each low-voltage distributed photovoltaic power station corresponding to the planned electricity volume.

[0082] S200 includes summing the distributed photovoltaic planned electricity of the medium-voltage feeder access point to the medium-voltage feeder to which it belongs, forming the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity, and aggregating the planned electricity price based on the weighted average electricity price method to form the medium-voltage single-feeder aggregated planned electricity price. Its advantage is that the weighted average electricity price method takes into account the balance of benefits, ensures that distributed photovoltaic power stations can participate in market transactions fairly, and promotes fair competition in the power market.

[0083] Please refer to Figure 3 , which shows a flowchart of an exemplary distributed photovoltaic power price grading aggregation and reverse conduction method S200 of the present application, and its contents include:

[0084] S201: Sum the distributed photovoltaic planned electricity of each medium-voltage feeder access point and aggregate it to the medium-voltage feeder to which it belongs, to form the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity. The calculation formula is as follows:

[0085]

[0086] Where: Q FD is the planned power of low-voltage distributed photovoltaic aggregation at each access point on the medium-voltage single feeder and the planned power of distributed photovoltaic power stations directly connected to each access point, n is the number of access points of low-voltage distributed photovoltaic aggregation on the medium-voltage single feeder (i=1,2,…,n), is the planned power of low-voltage distributed photovoltaic aggregates at each access point on the medium-voltage single feeder, m is the number of distributed photovoltaics directly connected to each access point on the medium-voltage single feeder (i=1,2,…,m), Plan the power consumption for each distributed photovoltaic power station directly connected to the medium voltage single feeder.

[0087] S202: Based on the weighted average electricity price method, the planned electricity prices corresponding to the planned electricity quantities of the distributed photovoltaic power generation at each medium-voltage feeder access point are aggregated to the medium-voltage feeder to which they belong, to form a medium-voltage single feeder aggregated planned electricity price.

[0088] The core advantage of the weighted average electricity price is that it takes into account the balance of benefits and can ensure that distributed photovoltaics can participate in market transactions. The calculation formula is as follows:

[0089]

[0090] Where: FD is the planned electricity price aggregated on a single medium voltage feeder, The planned electricity price for low voltage level aggregation to the feeder access point, Plan electricity prices for distributed PV power stations directly connected to a single medium voltage feeder.

[0091] S300 involves summing the planned electricity of each single-feeder distributed photovoltaic power generation in the medium voltage to form a multi-feeder aggregated planned electricity generation, and aggregating the planned electricity price based on the average electricity price method to form a multi-feeder aggregated planned electricity price. This step achieves the equilibrium of electricity prices through the average electricity price method, provides a unified reference electricity price for market transactions, and helps to improve the transparency and efficiency of the electricity market.

[0092] Please refer to Figure 4 , which shows a flowchart of an exemplary distributed photovoltaic power price grading aggregation and reverse conduction method S300 of the present application, and its contents include:

[0093] S301: The planned power of each single-feeder distributed photovoltaic system is summed up over multiple medium-voltage feeders to form a multi-feeder aggregated planned power. The calculation formula is as follows:

[0094]

[0095] Where: Q FD.aggis the planned power of distributed photovoltaic aggregates on multiple medium-voltage feeders, K is the number of medium-voltage feeders (j=1,2,…,K), Plan the electricity consumption for each medium voltage single feeder distributed photovoltaic power station.

[0096] S302: Based on the average electricity price method, the planned electricity prices corresponding to the planned electricity quantities of each single-feeder distributed photovoltaic system are aggregated to form a multi-feeder aggregated planned electricity price. The calculation formula is as follows:

[0097]

[0098] Where: FD.agg The planned electricity price for distributed photovoltaic aggregation on medium voltage multi-feeder lines.

[0099] S400 includes transmitting the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price after market transactions in reverse to each medium-voltage single feeder according to the planned electricity proportion, and further distributing it to each access point of the medium-voltage single feeder and each low-voltage distributed photovoltaic power station. This step ensures the reasonable distribution of electricity and electricity prices before and after market transactions of different feeders under the same substation, which is conducive to the effective consumption of distributed photovoltaics, improves the utilization efficiency of power resources, and ensures the fairness of electricity price distribution.

[0100] Please refer to Figure 5 , which shows a flowchart of an exemplary distributed photovoltaic power price hierarchical aggregation and reverse conduction method S400 of the present application, and its contents include:

[0101] S401: After the market transaction, the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price are transmitted back to each medium-voltage single feeder according to the planned electricity proportion;

[0102] The electricity quantity and electricity price after the transaction are reversely transmitted and distributed according to the planned electricity quantity and electricity price ratio, ensuring that the electricity quantity and electricity price before and after the transaction in different feeder markets are reasonably distributed under the same substation, which is conducive to the effective consumption of distributed photovoltaics. The calculation formula is as follows:

[0103]

[0104] Where: is the actual power consumption of distributed photovoltaic power on each medium voltage single feeder, Q FD.clr is the total power consumption of multiple medium-voltage feeders under the same substation, is the electricity price corresponding to the power consumption of distributed photovoltaic on each medium voltage single feeder, λ FD.clr It is the electricity price corresponding to the total power consumption of multiple medium-voltage feeders under the same substation.

[0105] S402: Distributed photovoltaic power generation and electricity price of medium voltage single feeder, reverse transmission and distribution of electricity and electricity price to each access point of medium voltage single feeder according to the planned electricity proportion;

[0106] The consumption power and the corresponding electricity price are allocated according to the planned power and electricity price ratio, which can ensure that the power and electricity price of the low-voltage layer and the directly connected medium-voltage layer on the medium-voltage single feeder are reasonably allocated before and after the transaction, which is conducive to the effective consumption of distributed photovoltaics. The calculation formula is as follows:

[0107]

[0108] Where: The power consumption of distributed photovoltaic connected to each direct access point of medium voltage single feeder, It is the electricity price corresponding to the power consumption of distributed photovoltaic connected to each direct access point of medium voltage single feeder.

[0109]

[0110] Where: The power consumption of low-voltage distributed photovoltaic power at each access point on the medium-voltage single feeder line. It is the electricity price corresponding to the power consumption of low-voltage distributed photovoltaic accessed at each access point on the medium-voltage single feeder.

[0111] S403: The distributed photovoltaic power generation and electricity price at each access point of the medium-voltage single feeder are transmitted back to each low-voltage distributed photovoltaic power station according to the planned power ratio.

[0112] The power consumption of low-voltage distributed photovoltaics is allocated according to the planned power ratio, and the corresponding electricity price is determined according to the aggregated consumption price and the planned price to ensure the fairness of electricity price distribution.

[0113]

[0114] Where: is the power consumption of each low-voltage distributed photovoltaic power station, The electricity price corresponding to the amount of electricity consumed by each low-voltage distributed photovoltaic power station.

[0115] Embodiment 2:

[0116] Adopting distributed photovoltaic power / electricity price hierarchical aggregation and reverse conduction method, based on the attached Figure 6 , and conduct quantitative analysis on the hierarchical aggregation and reverse conduction of distributed photovoltaic power / electricity prices.

[0117] S1: Aggregate the planned electricity quantity and the planned electricity price corresponding to the planned electricity quantity of the low-voltage distributed photovoltaic power station to the medium-voltage access point, and form the distributed photovoltaic aggregated planned electricity quantity of the medium-voltage feeder access point and the distributed photovoltaic aggregated planned electricity price of the medium-voltage feeder access point respectively;

[0118] S101: summing up the planned power of each low-voltage distributed photovoltaic power station and aggregating it to the medium-voltage feeder access point to form the aggregated planned power of the medium-voltage feeder access point;

[0119] The planned electricity consumption of low-voltage distributed photovoltaic on medium-voltage feeder 1 is shown in Table 1. Formula (1) is used to aggregate the planned electricity consumption, and the aggregation results are shown in Table 1.

[0120] Table 1 Planned electricity consumption of each low-voltage distributed photovoltaic access point on medium-voltage feeder line 1

[0121]

[0122]

[0123] S102: Based on the maximum electricity price method, the planned electricity prices corresponding to the planned electricity quantities of each low-voltage distributed photovoltaic power station are aggregated to the corresponding medium-voltage feeder access points to form the aggregated planned electricity prices of the medium-voltage feeder access points.

[0124] The planned electricity price of low-voltage distributed photovoltaic on medium-voltage feeder 1 is shown in Table 2: Formula (2) is used to aggregate the planned electricity price, and the aggregation result is shown in Table 2.

[0125] Table 2 Planned electricity price for medium voltage feeder 1 low voltage distributed photovoltaic access point

[0126]

[0127] S2: Aggregate the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, and form the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity price respectively;

[0128] S201: summing up the distributed photovoltaic planned electricity of each medium voltage access point and aggregating it to the medium voltage feeder to which it belongs, to form a medium voltage single feeder aggregated planned electricity;

[0129] The planned electricity of distributed photovoltaic power at the medium voltage feeder access point on medium voltage feeder 1 is shown in Table 3. Formula (3) is used to aggregate the planned electricity, and the aggregation results of medium voltage feeder 1 are shown in Table 3.

[0130] Table 3 Planned electricity consumption of distributed photovoltaic power at access point on medium voltage feeder 1

[0131] Feeder 1 Planned electricity consumption (kWh) 10kV Photovoltaic 1 212 Access Point 1 72 Access Point 2 97 Planned electricity aggregation results 381

[0132] S202: Based on the weighted average electricity price method, the planned electricity prices corresponding to the planned electricity quantities of the distributed photovoltaic power generation at each access point of the medium-voltage single feeder are aggregated to the medium-voltage feeder to which they belong, to form the aggregated planned electricity price of the medium-voltage single feeder.

[0133] The planned electricity price of distributed photovoltaic power generation at the medium voltage feeder access point on medium voltage feeder 1 is shown in Table 4. Formula (4) is used to aggregate the planned electricity price, and the aggregation result is shown in Table 4.

[0134] Table 4 Planned electricity price of distributed photovoltaic power generation at access point on medium voltage feeder 1

[0135]

[0136]

[0137] S3: Aggregate the distributed photovoltaic aggregated planned electricity and the aggregated planned electricity price corresponding to the aggregated planned electricity of each single medium voltage feeder to form a multi-feeder aggregated planned electricity and a multi-feeder aggregated planned electricity price respectively;

[0138] S301: summing up the planned power of each single-feeder distributed photovoltaic system in the medium voltage through multiple feeders to form a medium voltage multi-feeder aggregated planned power;

[0139] The planned electricity of the two-loop single-feeder distributed photovoltaic power generation is set equal, as shown in Table 5: Formula (5) is used to aggregate the planned electricity, and the aggregation results are shown in Table 5.

[0140] Table 5 Planned power consumption of distributed photovoltaic power generation for each single feeder of medium voltage

[0141] Feeder 1(kWh) Feeder 2(kWh) Aggregate results (kWh) 381 381 762

[0142] S302: Based on the average electricity price method, the planned electricity prices corresponding to the planned electricity quantities of each single-feeder distributed photovoltaic system are aggregated to form a medium-voltage multi-feeder aggregated planned electricity price.

[0143] The planned electricity prices of the distributed photovoltaic power generation on the two medium voltage feedback lines are set equal, as shown in Table 6: Formula (6) is used to aggregate the planned electricity prices, and the results of the aggregated planned electricity prices of the two feedback lines are shown in Table 6.

[0144] Table 6 Planned electricity prices for medium voltage multi-feeder distributed photovoltaics

[0145]

[0146] S4: The distributed photovoltaic medium-voltage multi-feeder electricity and electricity price after market transactions are transmitted back to each medium-voltage single feeder according to the planned electricity ratio, and further distributed to each access point of the single feeder and each low-voltage distributed photovoltaic power station, so as to reasonably distribute the electricity and electricity price before and after the transaction.

[0147] S401: The distributed photovoltaic medium-voltage multi-feeder power generation and electricity price after market transactions are reversely transmitted to each medium-voltage single feeder according to the planned power ratio;

[0148] After market trading, distributed photovoltaic medium-voltage multi-feeder aggregated power Q FD.clr =700kWh, corresponding electricity price λ FD.clr =0.3820 yuan / kWh.

[0149] The electricity quantity and electricity price after the transaction are reversely distributed according to the planned electricity quantity ratio. The electricity quantity / electricity price of distributed photovoltaic on medium voltage feeder 1 is calculated based on formula (7) as shown in Table 7:

[0150] Table 7 Power consumption / price of distributed photovoltaic on medium voltage feeder 1

[0151] Actual power consumption (kWh) Electricity price (yuan / kWh) 350 0.3760

[0152] S402: Distributed photovoltaic power generation and electricity price of medium-voltage single feeder, the electricity and electricity price are transmitted back to each access point of distributed photovoltaic of medium-voltage single feeder according to the planned electricity proportion;

[0153] According to the power consumption / electricity price of distributed photovoltaic on medium voltage feeder 1, the power consumption / electricity price of distributed photovoltaic at each access point on medium voltage feeder 1 is calculated based on formulas (8) and (9) as shown in Table 8:

[0154] Table 8 Power consumption / price of distributed photovoltaic at each access point on medium voltage feeder 1

[0155]

[0156]

[0157] S403: The distributed photovoltaic power and electricity price at each access point of the medium-voltage single feeder are transmitted back to each low-voltage distributed photovoltaic power station according to the planned power ratio.

[0158] According to the power consumption / electricity price of distributed photovoltaics at each access point on medium-voltage feeder 1, the power consumption / electricity price of low-voltage distributed photovoltaics on medium-voltage feeder 1 is calculated based on formula (10) as shown in Table 9:

[0159] Table 9 Power consumption / price of low voltage distributed photovoltaic on medium voltage feeder 1

[0160]

[0161] The distributed photovoltaic power / price hierarchical aggregation and reverse conduction method proposed in the present invention effectively improves the participation and transaction efficiency of photovoltaic resources in the power market. This method not only solves the problem that small-capacity distributed photovoltaic power stations are difficult to effectively bid in the traditional power market, but also promotes the consumption of distributed photovoltaics and promotes the marketization of photovoltaic power. This method provides strong technical support for the large-scale integration of clean energy and the stable and efficient operation of the power system, and will play a key role in promoting the green transformation of energy and improving the overall energy utilization efficiency.

[0162] Example 3

[0163] According to Example 1 of the present application, a distributed photovoltaic power quantity price hierarchical aggregation and reverse conduction device is provided, and the device includes: a distributed photovoltaic aggregation module of a medium-voltage feeder access point, which is responsible for aggregating the planned power quantity and the planned power price corresponding to the planned power quantity of a low-voltage distributed photovoltaic power station to the medium-voltage access point, and forming the distributed photovoltaic aggregation planned power quantity of the medium-voltage feeder access point and the distributed photovoltaic aggregation planned power price of the medium-voltage feeder access point respectively;

[0164] The medium-voltage single-feeder distributed photovoltaic aggregation module is responsible for aggregating the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, and forming the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price respectively;

[0165] The multi-feeder aggregation module is responsible for aggregating the distributed photovoltaic aggregation plan electricity and the aggregation plan electricity price corresponding to the aggregation plan electricity of each single medium voltage feeder, and forming the multi-feeder aggregation plan electricity and the multi-feeder aggregation plan electricity price respectively;

[0166] The market transaction module is responsible for transmitting the distributed photovoltaic medium-voltage multi-feeder electricity and electricity prices after market transactions to each medium-voltage single feeder according to the planned electricity and electricity prices, and further distributing them to each access point of the single feeder and each low-voltage distributed photovoltaic power station, so as to reasonably distribute the electricity and electricity prices before and after the transaction.

[0167] Among them, in the distributed photovoltaic aggregation module of the medium-voltage feeder access point, the formation of the distributed photovoltaic aggregation planned electricity price of the medium-voltage feeder access point is based on the maximum electricity price method to aggregate the planned electricity prices corresponding to the planned electricity of each low-voltage distributed photovoltaic power station to the corresponding medium-voltage access point.

[0168] Among them, in the medium-voltage single-feeder distributed photovoltaic aggregation module, the formation of the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price is based on the weighted average electricity price method to aggregate the planned electricity price corresponding to the distributed photovoltaic planned electricity volume of each medium-voltage feeder access point to the corresponding medium-voltage feeder.

[0169] Among them, in the multi-feeder aggregation module, the formation of the multi-feeder aggregation planned electricity price is based on the average electricity price method to aggregate the planned electricity prices corresponding to the planned electricity quantities of each single-feeder distributed photovoltaic.

[0170] Wherein, the reverse conduction of the market transaction module includes:

[0171] After the market transaction, the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price will be transmitted back to each medium-voltage single feeder according to the planned electricity proportion;

[0172] The distributed photovoltaic power generation and electricity price of the medium-voltage single feeder are reversely transmitted and distributed to each access point of the medium-voltage single feeder according to the planned power ratio;

[0173] The distributed photovoltaic power generation and electricity price at each access point of the medium-voltage single feeder are transmitted back to the low-voltage distributed photovoltaic power stations according to the planned electricity ratio.

[0174] According to Embodiment 1 of the present application, a computer device is provided, comprising: a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the distributed photovoltaic electricity price tiered aggregation and reverse conduction method as described above.

[0175] According to Embodiment 1 of the present application, a computer-readable storage medium is provided, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the distributed photovoltaic electricity price tiered aggregation and reverse conduction method as described above.

[0176] According to Embodiment 1 of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the distributed photovoltaic power price tiered aggregation and reverse conduction method provided in the above optional implementation.

[0177] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0178] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0179] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0180] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features of the present invention.

[0181] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A distributed photovoltaic power price grading aggregation and reverse conduction method, characterized in that: include: Aggregate the planned electricity quantity and the planned electricity price corresponding to the planned electricity quantity of the low-voltage distributed photovoltaic power station to the medium-voltage access point, and form the distributed photovoltaic aggregated planned electricity quantity and the distributed photovoltaic aggregated planned electricity price of the medium-voltage feeder access point respectively; Aggregate the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, and form the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregated planned electricity price respectively; Aggregate the distributed photovoltaic aggregated planned electricity and the aggregated planned electricity price corresponding to the aggregated planned electricity of each single medium-voltage feeder to form a multi-feeder aggregated planned electricity and a multi-feeder aggregated planned electricity price respectively; The distributed photovoltaic medium-voltage multi-feeder electricity volume and electricity price after market transactions are transmitted back to each medium-voltage single feeder according to the planned electricity volume and electricity price, and further distributed to each access point of the single feeder and each low-voltage distributed photovoltaic power station.

2. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 1 is characterized in that: The calculation method of the distributed photovoltaic aggregated planned power at the medium voltage feeder access point is: Where: Q LV.agg is the planned electricity volume from n low-voltage distributed photovoltaic power stations to their medium-voltage feeder access points, n is the number of low-voltage distributed photovoltaic power stations, where k = 1, 2, ..., n, The planned power consumption of each low-voltage distributed photovoltaic power station.

3. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 2 is characterized in that: The formation of the distributed photovoltaic aggregation planned electricity price of the medium-voltage feeder access point is based on the maximum electricity price method to aggregate the planned electricity prices corresponding to the planned electricity quantities of each low-voltage distributed photovoltaic power station to the corresponding medium-voltage access point.

4. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 3 is characterized in that: The calculation method of the distributed photovoltaic aggregation plan electricity price at the medium voltage feeder access point is: Where: LV.agg is the planned electricity price after n low-voltage distributed photovoltaic power stations are gathered to their medium-voltage access points, The planned electricity price for each low-voltage distributed photovoltaic power station corresponding to the planned electricity volume.

5. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 1 is characterized in that: The method for calculating the planned power consumption of medium voltage single feeder distributed photovoltaic aggregation is as follows: Where: Q FD is the planned power of low-voltage distributed photovoltaic aggregation at each access point on the medium-voltage single feeder and the planned power of distributed photovoltaic power stations directly connected to each access point, n is the number of access points of low-voltage distributed photovoltaic aggregation on the medium-voltage single feeder, where i = 1, 2, ..., n, is the planned power of low-voltage distributed photovoltaic aggregates at each access point on the medium-voltage single feeder, m is the number of distributed photovoltaics directly connected to each access point on the medium-voltage single feeder, where i = 1, 2, …, m, Plan the power consumption for each distributed photovoltaic power station directly connected to the medium voltage single feeder.

6. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 5 is characterized in that: The formation of the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price is based on the weighted average electricity price method to aggregate the planned electricity prices corresponding to the distributed photovoltaic planned electricity quantities of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs.

7. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 6 is characterized in that: The calculation method of the medium voltage single feeder distributed photovoltaic aggregation plan electricity price is: Where: FD is the planned electricity price aggregated on a single medium voltage feeder, The planned electricity price for low voltage level aggregation to the feeder access point, Plan electricity prices for distributed PV power stations directly connected to a single medium voltage feeder.

8. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 1 is characterized in that: The calculation method of the multi-feeder aggregated planned electricity is: Where: Q FD.agg is the planned power of distributed photovoltaic aggregates on multiple medium-voltage feeders, K is the number of medium-voltage feeders, where j = 1, 2, ..., K, Plan the electricity consumption for each medium voltage single feeder distributed photovoltaic power station.

9. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 8 is characterized in that: The formation of the multi-feeder aggregated planned electricity price is based on the average electricity price method to aggregate the planned electricity prices corresponding to the planned electricity quantities of each single-feeder distributed photovoltaic.

10. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 9 is characterized in that: The calculation method of the multi-feeder aggregation planned electricity price is: Where: FD.agg The planned electricity price for distributed photovoltaic aggregation on medium voltage multi-feeder lines.

11. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 1 is characterized in that: The reverse conduction includes: After the market transaction, the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price will be transmitted back to each medium-voltage single feeder according to the planned electricity proportion; The distributed photovoltaic power generation and electricity price of the medium-voltage single feeder are reversely transmitted and distributed to each access point of the medium-voltage single feeder according to the planned power ratio; The distributed photovoltaic power generation and electricity price at each access point of the medium-voltage single feeder are transmitted back to the low-voltage distributed photovoltaic power stations according to the planned electricity ratio.

12. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 11 is characterized in that: The calculation method for reverse conduction to each single medium voltage feeder is: Where: is the actual power consumption of distributed photovoltaic power on each medium voltage single feeder, Q FD.clr is the total power consumption of multiple medium-voltage feeders under the same substation, is the electricity price corresponding to the power consumption of distributed photovoltaic on each medium voltage single feeder, λ FD.clr It is the electricity price corresponding to the total power consumption of multiple medium-voltage feeders under the same substation.

13. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 11 is characterized in that: The calculation method for distributing the reverse conduction to each access point of the medium voltage single feeder is: Where: The power consumption of distributed photovoltaic connected to each direct access point of medium voltage single feeder, It is the electricity price corresponding to the power consumption of distributed photovoltaic connected to each direct access point of medium voltage single feeder.

14. The distributed photovoltaic power price classification aggregation and reverse conduction method according to claim 11 is characterized in that: The calculation method for reverse conduction to each low-voltage distributed photovoltaic power station is: Where: is the power consumption of each low-voltage distributed photovoltaic power station, The electricity price corresponding to the amount of electricity consumed by each low-voltage distributed photovoltaic power station.

15. Distributed photovoltaic power price classification aggregation and reverse conduction device, characterized in that: The device includes: The distributed photovoltaic aggregation module of the medium-voltage feeder access point is responsible for aggregating the planned electricity quantity and the planned electricity price corresponding to the planned electricity quantity of the low-voltage distributed photovoltaic power station to the medium-voltage access point, and forming the distributed photovoltaic aggregation planned electricity quantity of the medium-voltage feeder access point and the distributed photovoltaic aggregation planned electricity price of the medium-voltage feeder access point respectively; The medium-voltage single-feeder distributed photovoltaic aggregation module is responsible for aggregating the distributed photovoltaic planned electricity and the planned electricity price corresponding to the planned electricity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs, and forming the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity and the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price respectively; The multi-feeder aggregation module is responsible for aggregating the distributed photovoltaic aggregation plan electricity and the aggregation plan electricity price corresponding to the aggregation plan electricity of each single medium voltage feeder, and forming the multi-feeder aggregation plan electricity and the multi-feeder aggregation plan electricity price respectively; The market transaction module is responsible for transmitting the distributed photovoltaic medium-voltage multi-feeder electricity and electricity prices after market transactions to each medium-voltage single feeder according to the planned electricity and electricity prices, and further distributing them to each access point of the single feeder and each low-voltage distributed photovoltaic power station, so as to reasonably distribute the electricity and electricity prices before and after the transaction.

16. The distributed photovoltaic power price classification aggregation and reverse conduction device according to claim 15 is characterized in that: In the distributed photovoltaic aggregation module of the medium-voltage feeder access point, the distributed photovoltaic aggregation planned electricity price of the medium-voltage feeder access point is formed based on the maximum electricity price method to aggregate the planned electricity prices corresponding to the planned electricity of each low-voltage distributed photovoltaic power station to the corresponding medium-voltage access point.

17. The distributed photovoltaic power price classification aggregation and reverse conduction device according to claim 15 is characterized in that: In the medium-voltage single-feeder distributed photovoltaic aggregation module, the formation of the medium-voltage single-feeder distributed photovoltaic aggregation planned electricity price is based on the weighted average electricity price method to aggregate the planned electricity price corresponding to the distributed photovoltaic planned electricity quantity of each medium-voltage feeder access point to the medium-voltage feeder to which it belongs.

18. The distributed photovoltaic power price classification aggregation and reverse conduction device according to claim 15 is characterized in that: In the multi-feeder aggregation module, the formation of the multi-feeder aggregation planned electricity price is based on the average electricity price method to aggregate the planned electricity prices corresponding to the planned electricity quantities of each single-feeder distributed photovoltaic.

19. The distributed photovoltaic power price classification aggregation and reverse conduction device according to claim 15 is characterized in that: The reverse conduction of the market transaction module includes: After the market transaction, the distributed photovoltaic medium-voltage multi-feeder electricity and electricity price will be transmitted back to each medium-voltage single feeder according to the planned electricity proportion; The distributed photovoltaic power generation and electricity price of the medium-voltage single feeder are reversely transmitted and distributed to each access point of the medium-voltage single feeder according to the planned power ratio; The distributed photovoltaic power generation and electricity price at each access point of the medium-voltage single feeder are transmitted back to the low-voltage distributed photovoltaic power stations according to the planned electricity ratio.

20. A computer device, characterized in that: The computer device includes: a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the distributed photovoltaic electricity price tiered aggregation and reverse conduction method as described in any one of claims 1 to 14.

21. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set are loaded and executed by the processor to implement the distributed photovoltaic electricity price grading aggregation and reverse conduction method as described in any one of claims 1 to 14.

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