Methods, systems, equipment, and media for curve decomposition of inter-provincial agreement electricity volume

Abstract

A method, system, equipment, and medium for curve decomposition of inter-provincial agreement electricity volume are disclosed. The decomposition method includes: obtaining the monthly electricity volume of each inter-provincial intergovernmental agreement; establishing and solving a centralized optimization model for monthly electricity volume decomposition, with the constraint that the total monthly electricity volume before and after decomposition of each inter-provincial intergovernmental agreement remains unchanged, to obtain the daily electricity volume of each inter-provincial intergovernmental agreement under a fixed trading path; establishing and solving a centralized optimization model for daily electricity volume decomposition, with the constraint that the total daily electricity volume before and after decomposition of each inter-provincial intergovernmental agreement remains unchanged, to obtain the time-period electricity of each inter-provincial intergovernmental agreement under a fixed trading path; and establishing and solving a centralized optimization model for multiple ultra-high voltage (UHV) channels, with the objective function of maximizing the total daily transaction volume, to obtain the time-period electricity value of each purchase and sale pair on a feasible trading path under a coordinated trading path optimization approach. This invention can optimize the utilization rate of UHV channels, improve the feasibility of curve decomposition, reduce overall electricity costs, and increase total transaction volume.

Description

Technical Field

[0001] This invention belongs to the field of power automation technology, specifically relating to a curve decomposition method, system, equipment and medium for inter-provincial agreed power volume, enabling the overall optimized utilization of all available inter-provincial ultra-high voltage channels. Background Technology

[0002] Inter-provincial and intra-provincial interconnection lines include inter-regional UHV AC channels, inter-regional UHV DC channels, other inter-provincial AC interconnection lines, and intra-provincial AC sections prone to congestion. The available transmission capacity of an interconnection line refers to the remaining transmission power or volume that can be further traded based on existing transactions or contracts. In inter-provincial medium- and long-term transactions, intergovernmental agreement-based electricity accounts for a relatively high proportion, approximately 20% of the total inter-provincial medium- and long-term transaction volume. This is mainly used to promote the consumption of clean energy across provinces and regions and to ensure the normal electricity supply for non-market-oriented priority users such as agriculture and residential users. A reasonable decomposition method for inter-provincial government-agreement-based electricity volume is of great significance for improving the optimal allocation of power generation resources. Generally, the price of government-agreement contracts is lower than the intra-provincial transaction price of the purchasing province. If more government-agreement-based electricity volume can be allocated to periods with high spot prices within the purchasing province, the purchasing province can use the negotiated government-agreement contract price to settle more demanded electricity during peak periods, thereby saving on electricity purchase costs. The current method of allocating intergovernmental agreement-based electricity volume based on the available transmission capacity curves of fixed UHV transmission channels fails to consider the generation and consumption characteristics of the purchasing and selling provinces, as well as the influence of market factors within the provinces. This results in low enforceability of the allocated electricity curves and fails to fully leverage the advantage of inter-provincial transactions in effectively reducing the total cost of electricity purchase. Furthermore, the current method of allocating inter-provincial government agreement-based electricity volume uses fixed UHV transmission channels specified in the contracts, without comprehensively considering the transmission capacity of all available UHV channels. This leads to unnecessary reductions in the actual execution of some signed electricity volumes due to channel congestion. Therefore, how to balance the actual needs of purchasing and selling provinces and achieve the coordinated and optimized utilization of inter-provincial UHV transmission channels during the allocation of inter-provincial government agreement-based electricity volume is an urgent problem that needs to be studied and solved.

[0003] Existing methods for decomposing intergovernmental agreements on electricity volume are based on the available transmission capacity curves of UHV transmission lines traversed by the signed intergovernmental agreements. These methods decompose the electricity volume of each inter-provincial agreement directly from monthly volume to daily 24-hour power curves. On the sales side, these methods fail to consider the output characteristics of power sources at different time scales, reducing the feasibility of curve decomposition. On the purchase side, they do not consider the impact of load consumption characteristics or market factors, increasing the total purchase cost. On the transmission side, they do not comprehensively consider the available UHV transmission capacity of all signed intergovernmental agreements, potentially leading to reductions in the actual execution of some agreed-upon electricity volumes due to congestion of relevant UHV transmission lines. Summary of the Invention

[0004] The purpose of this invention is to address the problems in the prior art by providing a method, system, device, and medium for curve decomposition of inter-provincial agreement electricity, which can improve the feasibility of curve decomposition, reduce overall electricity costs, perform multi-channel centralized optimization of inter-government agreement electricity after decomposition to time periods, redistribute the UHV channels through which inter-government agreement electricity passes globally, reduce the reduction of inter-government agreement electricity due to tie line blockage, optimize the utilization rate of UHV channels, and increase the total transaction volume.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] Firstly, a method for curve decomposition of inter-provincial agreement electricity volume is provided, including:

[0007] Get the monthly electricity consumption for each agreement;

[0008] With the constraint that the total monthly electricity consumption before and after the decomposition of each agreement remains unchanged, a centralized optimization model for monthly electricity consumption decomposition is established and solved to obtain the daily electricity consumption of each agreement under the fixed transaction path method.

[0009] With the constraint that the total daily electricity consumption before and after each agreement decomposition remains unchanged, a centralized optimization model for daily electricity consumption decomposition is established and solved to obtain the time-period electricity consumption of each agreement under the fixed transaction path method.

[0010] With the objective function of maximizing the total daily transaction volume, a centralized optimization model for multiple UHV channels is established and solved to obtain the time-period power value of each purchase and sale pair on the feasible transaction path under the overall optimization method of transaction path, so that each purchase and sale pair can trade according to the time-period power value of the feasible transaction path.

[0011] As a preferred embodiment, in the step of obtaining the monthly electricity volume of each agreement, the purchasing and selling provinces obtain the total annual transaction volume of each contract according to the signed inter-provincial government agreement, and break it down into the monthly electricity volume value; the inter-provincial government agreement includes the selling market entity, the purchasing market entity, the ultra-high voltage channel through which the transaction is conducted, and the total annual transaction volume value of the inter-government agreement.

[0012] As a preferred embodiment, in the step of establishing and solving a centralized optimization model for monthly electricity decomposition, with the constraint that the total monthly electricity consumption before and after each agreement decomposition remains unchanged, to obtain the daily electricity consumption of each agreement under the fixed transaction path method, the centralized optimization model for monthly electricity decomposition aims to minimize the sum of penalty costs for the matching degree deviation between the daily electricity consumption curves obtained by each electricity purchase and sale market entity and the typical daily electricity consumption curve or the provincial spot daily average price curve. The expression of the objective function is as follows:

[0013]

[0014] In the formula, N M N represents the number of days in the month to be decomposed. O N represents the total number of market entities selling; D N represents the total number of market participants on the purchasing side. P Indicates the total number of transaction paths; VC o,day This represents the daily electricity consumption deviation penalty cost for the seller (o) on day 1; VC d,day Q represents the decomposed daily electricity consumption deviation penalty cost for market entity d on day 1; o,d,p,day This represents the decomposed daily electricity volume of the purchase and sale pair (o,d) via transaction path p on day 1; QTA o,day This indicates the target daily electricity volume breakdown for the seller on day 'o'; QTA d,day K represents the target daily electricity consumption of market entity d on day 1; M K represents the weight of the total penalty cost of the seller's breakdown of daily electricity consumption deviation in the objective function. M The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K M If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K M Set to 0;

[0015] For the seller, the market entity:

[0016]

[0017] For purchasing market participants within the province who have already established spot markets:

[0018]

[0019] For purchasing market participants within the province who have not yet established a spot market:

[0020]

[0021] In the formula, QM o,d,p This represents the total monthly electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; QT o,day This represents the typical daily power generation of market entity o on day 1; QT d,day This represents the typical daily electricity consumption of market entity d on day 1; CP d,day This represents the average daily spot price within the province where the buyer, market entity d, is located on day 1;

[0022] The constraint expression is:

[0023]

[0024] As a preferred approach, in the step of establishing and solving a centralized optimization model for daily electricity decomposition, with the constraint that the total daily electricity consumption before and after each agreement decomposition remains unchanged, to obtain the time-period electricity consumption of each agreement under the fixed transaction path method, the centralized optimization model for daily electricity decomposition aims to minimize the sum of penalty costs for the deviation between the electricity curves obtained by each electricity purchase and sale market participant and the typical electricity curve or the provincial spot price curve. The expression of the objective function is as follows:

[0025]

[0026] In the formula, VC o,iday This represents the decomposition period electricity deviation penalty cost for market entity o in the i-th period; VC d,iday Q represents the decomposed time-period power deviation penalty cost for market participant d in the i-th time period; o,d,p,iday QTA represents the decomposed electricity of the purchase and sale pair (o,d) via the transaction path p during the i-th day period; o,iday This represents the target breakdown of electricity for market entity o during the i-th time period; QTA d,iday K represents the target power allocation of market participant d during the i-th day period; D K represents the weight of the total penalty cost of the power deviation during the decomposition period in the objective function. D The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K D If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K D Set to 0;

[0027] For the seller, the market entity:

[0028]

[0029] For purchasing market participants within the province who have already established spot markets:

[0030]

[0031] For purchasing market participants within the province who have not yet established a spot market:

[0032]

[0033] In the formula, QD o,d,p This represents the total daily electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; CP d,iday This represents the spot price within the province where the buyer market entity d is located during the i-th day period;

[0034] The constraint expression is:

[0035]

[0036] As a preferred option, in the step of establishing and solving a centralized optimization model for multiple UHVDC transmission channels with the objective function of maximizing the total daily transaction volume, to obtain the time-period power value of each purchase and sale pair on a feasible transaction path under the overall optimization of transaction paths, the objective function expression of the centralized optimization model for multiple UHVDC transmission channels is:

[0037]

[0038] Among them, QR o,d,p,iday This represents the electricity that is re-decomposed through transaction path p in the purchase and sale pair (o,d) during the i-th day period;

[0039] The constraint expression is:

[0040]

[0041]

[0042]

[0043]

[0044] BP d,iday -DP d,p,iday -BP o,iday ≥0

[0045] In the formula, SE p,tie MaxC represents the sensitivity coefficient of the tie to the transaction path p. tie,iday This represents the upper limit of the available transmission capacity of the tie line during the i-th day; MinC tie,iday This represents the lower limit of the available transmission capacity of the tie line during the i-th day; BP d,iday This represents the bid price submitted by market participant d during the i-th day period; BP o,iday This indicates the price declared by the seller, market entity o, during the i-th day period; DP d,p,iday This represents the transmission fee and network loss discount that the purchasing market entity d needs to bear when purchasing electricity through transaction path p during the i-day period.

[0046] Secondly, a curve decomposition system for inter-provincial agreement electricity volume is provided, comprising:

[0047] The monthly power consumption acquisition module is used to acquire the monthly power consumption of each protocol.

[0048] The monthly electricity consumption to daily electricity consumption decomposition module is used to establish and solve a centralized optimization model for monthly electricity consumption decomposition, with the constraint that the total monthly electricity consumption before and after each agreement decomposition remains unchanged, to obtain the daily electricity consumption of each agreement under the fixed transaction path method.

[0049] The daily electricity consumption to time period electricity decomposition module is used to establish and solve a centralized optimization model for daily electricity consumption decomposition, with the constraint that the total daily electricity consumption before and after each agreement decomposition remains unchanged, to obtain the time period electricity consumption of each agreement under the fixed transaction path mode.

[0050] The time-based power redistribution module is used to establish and solve a centralized optimization model for multiple UHV channels with the objective function of maximizing the total daily transaction volume. This model yields the time-based power value for each purchase and sale pair on a feasible transaction path under the overall optimization approach, enabling each purchase and sale pair to trade according to the time-based power value of the feasible transaction path.

[0051] As a preferred embodiment, the monthly electricity acquisition module obtains the total annual transaction electricity of each contract based on the inter-provincial government agreement signed by the provinces of the buyer and seller, and breaks it down into monthly electricity values; the inter-provincial government agreement includes the seller market entity, the buyer market entity, the UHV transmission line through which the transaction passes, and the total annual transaction electricity value of the inter-government agreement.

[0052] As a preferred embodiment, the monthly electricity consumption to daily electricity consumption decomposition module establishes a centralized optimization model for monthly electricity consumption decomposition. The objective function is to minimize the sum of penalty costs for the mismatch between the daily electricity consumption curves obtained from the decomposition of each electricity purchase and sale market entity and the typical daily electricity consumption curve or the provincial spot average daily price curve. The expression of the objective function is as follows:

[0053]

[0054] In the formula, N M N represents the number of days in the month to be decomposed. O N represents the total number of market entities selling; D N represents the total number of market participants on the purchasing side. P Indicates the total number of transaction paths; VC o,day This represents the daily electricity consumption deviation penalty cost for the seller (o) on day 1; VC d,day Q represents the decomposed daily electricity consumption deviation penalty cost for market entity d on day 1; o,d,p,day This represents the decomposed daily electricity volume of the purchase and sale pair (o,d) via transaction path p on day 1; QTA o,day This indicates the target daily electricity volume breakdown for the seller on day 'o'; QTA d,day K represents the target daily electricity consumption of market entity d on day 1; MK represents the weight of the total penalty cost of the seller's breakdown of daily electricity consumption deviation in the objective function. M The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K M If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K M Set to 0;

[0055] For the seller, the market entity:

[0056]

[0057] For purchasing market participants within the province who have already established spot markets:

[0058]

[0059] For purchasing market participants within the province who have not yet established a spot market:

[0060]

[0061] In the formula, QM o,d,p This represents the total monthly electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; QT o,day This represents the typical daily power generation of market entity o on day 1; QT d,day This represents the typical daily electricity consumption of market entity d on day 1; CP d,day This represents the average daily spot price within the province where the buyer, market entity d, is located on day 1;

[0062] The constraint expression is:

[0063]

[0064] As a preferred embodiment, the daily electricity consumption decomposition centralized optimization model established by the daily electricity consumption arrival time period electricity decomposition module aims to minimize the sum of penalty costs for the matching degree deviation between the electricity curves obtained by each electricity purchase and sale market entity and the typical electricity curve or the provincial spot price curve. The objective function is constructed as follows:

[0065]

[0066] In the formula, VC o,iday This represents the decomposition period electricity deviation penalty cost for market entity o in the i-th period; VC d,iday Q represents the decomposed time-period power deviation penalty cost for market participant d in the i-th time period; o,d,p,iday QTA represents the decomposed electricity of the purchase and sale pair (o,d) via the transaction path p during the i-th day period; o,idayThis represents the target breakdown of electricity for market entity o during the i-th time period; QTA d,iday K represents the target power allocation of market participant d during the i-th day period; D K represents the weight of the total penalty cost of the power deviation during the decomposition period in the objective function. D The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K D If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K D Set to 0;

[0067] For the seller, the market entity:

[0068]

[0069] For purchasing market participants within the province who have already established spot markets:

[0070]

[0071] For purchasing market participants within the province who have not yet established a spot market:

[0072]

[0073] In the formula, QD o,d,p This represents the total daily electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; CP d,iday This represents the spot price within the province where the buyer market entity d is located during the i-th day period;

[0074] The constraint expression is:

[0075]

[0076] As a preferred embodiment, the objective function expression of the multi-ultra-high voltage channel centralized optimization model established by the time-period power redistribution module is:

[0077]

[0078] Among them, QR o,d,p,iday This represents the electricity that is re-decomposed through transaction path p in the purchase and sale pair (o,d) during the i-th day period;

[0079] The constraint expression is:

[0080]

[0081]

[0082]

[0083]

[0084] BP d,iday -DP d,p,iday -BP o,iday ≥0

[0085] In the formula, SE p,tie MaxC represents the sensitivity coefficient of the tie to the transaction path p. tie,iday This represents the upper limit of the available transmission capacity of the tie line during the i-th day; MinC tie,iday This represents the lower limit of the available transmission capacity of the tie line during the i-th day; BP d,iday This represents the bid price submitted by market participant d during the i-th day period; BP o,iday This indicates the price declared by the seller, market entity o, during the i-th day period; DP d,p,iday This represents the transmission fee and network loss discount that the purchasing market entity d needs to bear when purchasing electricity through transaction path p during the i-day period.

[0086] Thirdly, an electronic device is provided, comprising:

[0087] Memory, storing at least one instruction; and

[0088] The processor executes instructions stored in the memory to implement the curve decomposition method for the inter-provincial agreement power consumption.

[0089] Fourthly, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, which, when executed by a processor, implements the curve decomposition method for inter-provincial protocol power consumption.

[0090] Compared with the prior art, the first aspect of the present invention has at least the following beneficial effects:

[0091] In the process of decomposing inter-provincial government-agreement electricity volume using curves, multiple dimensions such as the electricity sales side, the electricity purchase side, and the transmission side are comprehensively considered. A process is adopted, from monthly electricity volume to daily electricity volume, from daily electricity volume to 24-hour electricity volume, and then the redistribution of 24-hour electricity volume. Existing technologies use fixed UHV channels to decompose the signed inter-provincial government-agreement electricity volume from monthly to daily to 24-hour electricity volume. However, this may result in a reduction in the total inter-government agreement electricity volume due to congestion of UHV channels and other inter-provincial and intra-provincial connecting lines, thus reducing the transaction volume. The curve decomposition method of this invention aims to maximize the total transaction volume of inter-government agreements. It considers the transmission capacity of inter-provincial and intra-provincial connecting lines, performs multi-channel centralized optimization on the inter-government agreement electricity after decomposition to time periods, and globally redistributes the UHV channels through which the inter-government agreement electricity passes. This effectively reduces the reduction in inter-government agreement electricity volume caused by connecting line congestion, optimizes the utilization rate of UHV channels, and increases the total transaction volume.

[0092] Furthermore, this invention considers both the actual generation and consumption demands of the purchasing and selling provinces when decomposing monthly electricity consumption into daily electricity consumption and daily electricity consumption into 24-hour periods. On the electricity sales side, it considers typical power generation curves of new energy sources at different time scales, improving the feasibility of curve decomposition. On the electricity purchase side, it considers typical consumption curves of purchasing provinces for non-spot market pilot provinces and intra-provincial spot price curves for spot market pilot provinces, increasing the amount of intergovernmental agreement-traded electricity during peak price periods. This reduces the overall electricity cost on the purchasing side, enhances the optimal allocation of power generation resources, and promotes inter-provincial and intra-provincial market coupling.

[0093] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0094] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0095] Figure 1 Flowchart of the method for curve decomposition of protocol power in an embodiment of the present invention;

[0096] Figure 2 A flowchart illustrating the breakdown of monthly electricity consumption into daily electricity consumption according to an embodiment of the present invention;

[0097] Figure 3 A flowchart illustrating the breakdown of daily electricity consumption into 24-hour electricity usage according to an embodiment of the present invention;

[0098] Figure 4A flowchart illustrating the 24-hour power redistribution in this invention embodiment;

[0099] Figure 5 A block diagram of the system structure for curve decomposition of protocol power in an embodiment of the present invention. Detailed Implementation

[0100] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0101] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0102] When allocating inter-provincial government-agreement electricity volume from monthly to daily and then to specific time periods, in addition to considering the matching target with the power generation curve of the power-selling province, it is also necessary to consider the electricity consumption characteristics of the power-purchasing province or the influence of intra-provincial spot prices in order to further leverage the advantages of the inter-provincial priority power generation plan. Generally speaking, the contract price of inter-government agreements is lower than the intra-provincial transaction price of the power-purchasing province. If more inter-government agreement electricity volume can be allocated to periods with high intra-provincial spot prices in the power-purchasing province, the power-purchasing province can settle more demanded electricity during peak periods at the negotiated inter-government agreement contract price, thereby saving on power purchase costs. Currently, inter-government agreements are concluded through bilateral negotiations. Since the available transmission capacity of each inter-provincial and intra-provincial interconnection line was not comprehensively considered when signing each annual inter-government agreement, using a fixed UHV channel to allocate the signed inter-provincial government-agreement electricity volume from monthly to daily and then to time periods may result in a reduction in the total inter-government agreement electricity volume due to congestion of the UHV channel and other inter-provincial and intra-provincial interconnection lines, thus reducing the transaction volume.

[0103] Example 1

[0104] Please see Figure 1 This invention proposes a curve decomposition method for inter-provincial agreement electricity volume, comprising the following steps:

[0105] S1. Obtain the monthly electricity consumption for each inter-provincial government agreement;

[0106] S2. With the constraint that the total monthly electricity volume before and after the decomposition of each inter-provincial intergovernmental agreement remains unchanged, establish and solve the centralized optimization model for monthly electricity volume decomposition to obtain the daily electricity volume of each inter-provincial intergovernmental agreement under the fixed transaction path method.

[0107] S3. With the constraint that the total daily electricity consumption before and after the decomposition of each inter-provincial intergovernmental agreement remains unchanged, establish and solve the centralized optimization model for daily electricity consumption decomposition to obtain the time-period electricity consumption of each inter-provincial intergovernmental agreement under the fixed transaction path method.

[0108] S4. Taking the maximum daily transaction volume as the objective function, establish and solve a centralized optimization model for multiple UHV channels to obtain the time-period power value of each purchase and sale pair on the feasible transaction path under the overall optimization method of transaction path, so that each purchase and sale pair can trade according to the time-period power value of the feasible transaction path.

[0109] In one possible implementation, when obtaining the monthly electricity volume in step S1, the purchasing and selling provinces, based on the signed inter-provincial government agreements, negotiate and obtain the total annual transaction volume of each contract, which is then broken down into monthly electricity volumes. (The signed inter-provincial government agreements include the seller market entity, the buyer market entity, the UHV transmission line through which the transaction occurs, and the total annual transaction volume of the inter-government agreement.) The buyer province purchases electricity through a provincial company as an agent, and each buyer province may have a maximum of one market entity; each seller province may have one or more market entities depending on the number of signed inter-provincial government agreements.

[0110] In one possible implementation, when decomposing monthly electricity consumption into daily electricity consumption in step S2, the objective function is to minimize the sum of penalty costs for the deviation between the matching degree of the daily electricity consumption curves obtained by each electricity purchase and sale market entity and their typical daily electricity consumption curves (or the provincial spot average daily price curve). The constraint is that the total monthly electricity consumption before and after the decomposition of each intergovernmental agreement remains unchanged. A centralized optimization model is established and solved to obtain the daily electricity consumption decomposition values ​​of each inter-provincial intergovernmental agreement under the fixed transaction path method. The process is as follows: Figure 2 As shown. The expression for the objective function is:

[0111]

[0112] In the formula, N M N represents the number of days in the month to be decomposed. O N represents the total number of market entities selling; D N represents the total number of market participants on the purchasing side. P Indicates the total number of transaction paths; VC o,day This represents the daily electricity consumption deviation penalty cost for the seller (o) on day 1; VC d,day Q represents the decomposed daily electricity consumption deviation penalty cost for market entity d on day 1; o,d,p,day This represents the decomposed daily electricity volume of the purchase and sale pair (o,d) via transaction path p on day 1; QTA o,day This indicates the target daily electricity volume breakdown for the seller on day 'o'; QTA d,dayK represents the target daily electricity consumption of market entity d on day 1; M K represents the weight of the total penalty cost of the seller's breakdown of daily electricity consumption deviation in the objective function. M The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K... M If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K M Take 0.

[0113] For the seller, the market entity:

[0114]

[0115] For purchasing market participants within the province who have already established spot markets:

[0116]

[0117] For purchasing market participants within the province who have not yet established a spot market:

[0118]

[0119] Among them, QM o,d,p This represents the total monthly electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; QT o,day This represents the typical daily power generation of market entity o on day 1; QT d,day This represents the typical daily electricity consumption of market entity d on day 1; CP d,day This represents the average daily spot price within the province where the purchasing market entity d is located on day 1.

[0120] The constraint expression is:

[0121]

[0122] In one possible implementation, when decomposing daily electricity consumption into 24-hour electricity in step S3, the objective function is to minimize the sum of penalty costs for the deviation between the matching degree of the electricity curves obtained by each electricity purchase and sale market entity and their typical electricity curves (or intra-provincial spot price curves). The constraint is that the total daily electricity consumption before and after the decomposition of each intergovernmental agreement remains unchanged. A centralized optimization model is established and solved to obtain the time-period electricity decomposition values ​​for each inter-provincial intergovernmental agreement under the fixed transaction path method. The process is as follows: Figure 3 As shown, the expression for the objective function is:

[0123]

[0124] In the formula, VC o,iday This represents the decomposition period electricity deviation penalty cost for market entity o in the i-th period; VC d,idayQ represents the decomposed time-period power deviation penalty cost for market participant d in the i-th time period; o,d,p,iday QTA represents the decomposed electricity of the purchase and sale pair (o,d) via the transaction path p during the i-th day period; o,iday This represents the target breakdown of electricity for market entity o during the i-th time period; QTA d,iday K represents the target power allocation of market participant d during the i-th day period; D K represents the weight of the total penalty cost of the power deviation during the decomposition period in the objective function. D The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K... D If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K D Take 0.

[0125] For the seller, the market entity:

[0126]

[0127] For purchasing market participants within the province who have already established spot markets:

[0128]

[0129] For purchasing market participants within the province who have not yet established a spot market:

[0130]

[0131] Among them, QD o,d,p This represents the total daily electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; CP d,iday This represents the spot price within the province where the buyer market entity d is located during the i-th day period.

[0132] The constraint expression is:

[0133]

[0134] In one possible implementation, when redistributing power over 24 time periods in step S4, the objective function is to maximize the total daily transaction volume. Considering the upper limit of the daily total power generation of sellers, the upper limit of the daily total power consumption of buyers, and the upper and lower limits of power flow constraints on inter-provincial and intra-provincial interconnections, a centralized optimization model for multiple UHV channels is established and solved. This yields the time-period power value for each buyer-seller pair on feasible transaction paths under the overall optimization of transaction paths. The process is as follows: Figure 4 As shown.

[0135] The objective function expression is:

[0136]

[0137] Among them, QR o,d,p,iday This represents the electricity purchased and sold in the i-th day period (o,d) through the transaction path p.

[0138] The constraint expression is:

[0139]

[0140]

[0141]

[0142]

[0143] BP d,iday -DP d,p,iday -BP o,iday ≥0

[0144] In the formula, SE p,tie MaxC represents the sensitivity coefficient of the tie to the transaction path p. tie,iday This represents the upper limit of the available transmission capacity of the tie line during the i-th day; MinC tie,iday This represents the lower limit of the available transmission capacity of the tie line during the i-th day; BP d,iday This represents the bid price submitted by market participant d during the i-th day period; BP o,iday This indicates the price declared by the seller, market entity o, during the i-th day period; DP d,p,iday This represents the transmission fee and network loss discount that the purchasing market entity d needs to bear when purchasing electricity through transaction path p during the i-day period.

[0145] This invention addresses the decomposition of inter-provincial government-agreement electricity volume curves by comprehensively considering multiple dimensions, including the electricity sales side, the electricity purchase side, and the transmission side. Specifically, it employs three stages: monthly electricity volume to daily electricity volume, daily electricity volume to 24-hour electricity volume, and 24-hour electricity redistribution. In the decomposition processes from monthly to daily and daily to 24-hour electricity volume, the generation and consumption characteristics of both the purchasing and selling provinces are considered simultaneously. In particular, for provinces conducting intra-provincial spot market transactions, the impact of intra-provincial spot market price fluctuations on their willingness to purchase electricity in the inter-provincial market is taken into account. In the 24-hour electricity redistribution process, with the goal of maximizing the daily transaction volume, the transmission capacity of inter-provincial and intra-provincial interconnection lines is considered. A global centralized optimization is performed on the inter-government agreement electricity after decomposition to specific time periods, enabling the coordinated and optimized utilization of all available inter-provincial UHV transmission lines.

[0146] Furthermore, this invention adopts a centralized optimization approach using multiple ultra-high voltage (UHV) channels to redistribute the total annual transaction volume of each intergovernmental agreement across 24 time periods. This achieves a leap from fixed transaction paths to optimized and coordinated utilization of paths in the allocation of inter-provincial UHV agreement electricity, reducing the reduction of intergovernmental agreement electricity due to blockages in inter-provincial and intra-provincial interconnection lines, maximizing the transmission capacity of inter-provincial UHV channels, and promoting the consumption of new energy.

[0147] Example 2

[0148] Please see Figure 5 Another embodiment of the present invention also proposes a curve decomposition system for inter-provincial agreement power consumption, comprising:

[0149] Monthly electricity consumption acquisition module 1 is used to acquire the monthly electricity consumption of each inter-provincial intergovernmental agreement;

[0150] The monthly electricity to daily electricity decomposition module 2 is used to establish and solve a centralized optimization model for monthly electricity decomposition, with the constraint that the total monthly electricity before and after the decomposition of each inter-provincial inter-governmental agreement remains unchanged, so as to obtain the daily electricity of each inter-provincial inter-governmental agreement under the fixed transaction path method.

[0151] The daily electricity consumption to time period electricity decomposition module 3 is used to establish and solve a centralized optimization model for daily electricity consumption decomposition, with the constraint that the total daily electricity consumption before and after the decomposition of each inter-provincial inter-governmental agreement remains unchanged, so as to obtain the time period electricity of each inter-provincial inter-governmental agreement under the fixed transaction path mode.

[0152] The time-based power reallocation module 4 is used to establish and solve a centralized optimization model for multiple UHV channels with the objective function of maximizing the total daily transaction volume. This model obtains the time-based power value of each purchase and sale pair on the feasible transaction path under the overall optimization method of the transaction path, so that each purchase and sale pair can trade according to the time-based power value of the feasible transaction path.

[0153] In one possible implementation, the monthly electricity acquisition module 1 obtains the total annual transaction electricity of each contract based on the inter-provincial government agreement signed by the provinces of the buyer and seller, and breaks it down into monthly electricity values; the inter-provincial government agreement includes the seller market entity, the buyer market entity, the UHV transmission line through which the transaction passes, and the total annual transaction electricity value of the inter-government agreement.

[0154] In one possible implementation, the monthly electricity consumption to daily electricity consumption decomposition module 2 establishes a centralized optimization model for monthly electricity consumption decomposition, aiming to minimize the sum of penalty costs for the matching degree deviation between the daily electricity consumption curves obtained by each electricity purchase and sale market entity and the typical daily electricity consumption curve or the provincial spot daily average price curve. The objective function is constructed as follows:

[0155] In the formula, N M N represents the number of days in the month to be decomposed. O N represents the total number of market entities selling; D N represents the total number of market participants on the purchasing side. P Indicates the total number of transaction paths; VC o,day This represents the daily electricity consumption deviation penalty cost for the seller (o) on day 1; VC d,day Q represents the decomposed daily electricity consumption deviation penalty cost for market entity d on day 1; o,d,p,day This represents the decomposed daily electricity volume of the purchase and sale pair (o,d) via transaction path p on day 1; QTA o,day This indicates the target daily electricity volume breakdown for the seller on day 'o'; QTA d,day K represents the target daily electricity consumption of market entity d on day 1; M K represents the weight of the total penalty cost of the seller's breakdown of daily electricity consumption deviation in the objective function. M The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K M If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K M Set to 0;

[0156] For the seller, the market entity:

[0157]

[0158] For purchasing market participants within the province who have already established spot markets:

[0159]

[0160] For purchasing market participants within the province who have not yet established a spot market:

[0161]

[0162] In the formula, QM o,d,p This represents the total monthly electricity volume of the purchase and sale pair (o,d) through inter-provincial government agreements signed via transaction path p; QT o,day This represents the typical daily power generation of market entity o on day 1; QT d,day This represents the typical daily electricity consumption of market entity d on day 1; CP d,day This represents the average daily spot price within the province where the buyer, market entity d, is located on day 1;

[0163] The constraint expression is:

[0164]

[0165] In one possible implementation, the daily electricity consumption decomposition centralized optimization model established by the daily electricity consumption arrival time period electricity decomposition module 3 aims to minimize the sum of penalty costs for the matching degree deviation between the electricity curves obtained by each electricity purchase and sale market entity and the typical electricity curve or the provincial spot price curve. The expression of the objective function is as follows:

[0166]

[0167] In the formula, VC o,iday This represents the decomposition period electricity deviation penalty cost for market entity o in the i-th period; VC d,iday Q represents the decomposed time-period power deviation penalty cost for market participant d in the i-th time period; o,d,p,iday QTA represents the decomposed electricity of the purchase and sale pair (o,d) via the transaction path p during the i-th day period; o,iday This represents the target breakdown of electricity for market entity o during the i-th time period; QTA d,iday K represents the target power allocation of market participant d during the i-th day period; D K represents the weight of the total penalty cost of the power deviation during the decomposition period in the objective function. D The value of K ranges from 0 to 1. If only the penalty cost of the seller's decomposition deviation is considered, then K D If we take 1, and only consider the penalty cost of the buyer's decomposition deviation, then K D Set to 0;

[0168] For the seller, the market entity:

[0169]

[0170] For purchasing market participants within the province who have already established spot markets:

[0171]

[0172] For purchasing market participants within the province who have not yet established a spot market:

[0173]

[0174] In the formula, QD o,d,p This represents the total daily electricity volume of the inter-provincial government agreement signed through the transaction path p for the purchase and sale pair (o,d).

[0175] CP d,iday This represents the spot price within the province where the buyer market entity d is located during the i-th day period;

[0176] The constraint expression is:

[0177]

[0178] In one possible implementation, the objective function expression of the multi-ultra-high voltage channel centralized optimization model established by the time-period power redistribution module 4 is:

[0179]

[0180] Among them, QR o,d,p,iday This represents the electricity that is re-decomposed through transaction path p in the purchase and sale pair (o,d) during the i-th day period;

[0181] The constraint expression is:

[0182]

[0183]

[0184]

[0185]

[0186] BP d,iday -DP d,p,iday -BP o,iday ≥0

[0187] In the formula, SE p,tie MaxC represents the sensitivity coefficient of the tie to the transaction path p. tie,iday This represents the upper limit of the available transmission capacity of the tie line during the i-th day; MinC tie,iday This represents the lower limit of the available transmission capacity of the tie line during the i-th day; BP d,iday This represents the bid price submitted by market participant d during the i-th day period; BP o,iday This indicates the price declared by the seller, market entity o, during the i-th day period; DP d,p,iday This represents the transmission fee and network loss discount that the purchasing market entity d needs to bear when purchasing electricity through transaction path p during the i-day period.

[0188] Example 3

[0189] Another embodiment of the present invention also provides an electronic device comprising:

[0190] Memory, storing at least one instruction; and

[0191] The processor executes instructions stored in the memory to implement the curve decomposition method for the inter-provincial agreement power consumption.

[0192] Example 4

[0193] Another embodiment of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the curve decomposition method for inter-provincial protocol power consumption.

[0194] The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium can include any entity or device capable of carrying the computer program code, a medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals. For ease of explanation, the above content only shows the parts related to the embodiments of the present invention; for specific technical details not disclosed, please refer to the method section of the embodiments of the present invention. This computer-readable storage medium is non-transitory and can be stored in storage devices formed by various electronic devices, enabling the execution process described in the method of the embodiments of the present invention.

[0195] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0196] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0197] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0198] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0199] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for curve decomposition of inter-provincial negotiated electricity volume, characterized in that, include: Get the monthly electricity consumption for each agreement; With the constraint that the total monthly electricity consumption before and after the decomposition of each agreement remains unchanged, a centralized optimization model for monthly electricity consumption decomposition is established and solved to obtain the daily electricity consumption of each agreement under the fixed transaction path method. The centralized optimization model for monthly electricity consumption decomposition aims to minimize the sum of the penalty costs of the matching degree deviation between the daily electricity consumption curves obtained by each electricity purchase and sale market entity and the typical daily electricity consumption curve or the provincial spot daily average price curve. With the constraint that the total daily electricity consumption before and after the decomposition of each agreement remains unchanged, a centralized optimization model for daily electricity consumption decomposition is established and solved to obtain the time-period electricity consumption of each agreement under the fixed transaction path method. The centralized optimization model for daily electricity consumption decomposition aims to minimize the sum of the penalty costs for the deviation between the electricity curves obtained by each electricity purchase and sale market entity and the typical electricity curve or the spot price curve within the province. Using the maximum daily total electricity transaction volume as the objective function, a centralized optimization model for multiple UHVDC transmission channels is established and solved. This model yields the time-period electricity value for each purchase and sale pair on feasible trading paths under a unified trading path optimization approach, enabling each purchase and sale pair to trade according to the time-period electricity value of feasible trading paths. The objective function expression of the centralized optimization model for multiple UHVDC transmission channels is: in, QR o,d,p,iday Indicates the first iday Time-based purchase and sale pair ( o , d ) via transaction path p Re-decomposed electricity; N O N represents the total number of market entities selling; D N represents the total number of market participants on the purchasing side. P Indicates the total number of transaction paths; The constraint expression is: In the formula, Q o,d,p,iday Indicates the first iday Time-based purchase and sale pair ( o , d ) via transaction path p Decomposition of electricity; SE p,tie Indicates the contact line tie For transaction path p Sensitivity coefficient; MaxC tie,iday Indicates the contact line tie In the iday Maximum available transmission capacity for a given time period; MinC tie,iday Indicates the contact line tie In the iday Lower limit of available transmission capacity for a given time period; BP d,iday Indicates the market entity of the buyer. d In the iday The declared price for the time period; BP o,iday Indicates the market entity of the seller. o In the iday The declared price for the time period; DP d,p,iday Indicates the market entity of the buyer. d In the iday Time period through transaction path p The transmission fees and network loss deductions that must be borne when purchasing electricity.

2. The curve decomposition method for inter-provincial agreement electricity volume according to claim 1, characterized in that, In the step of obtaining the monthly electricity volume of each agreement, the purchasing and selling provinces obtain the total annual transaction volume of each contract according to the signed inter-provincial government agreement contract, and break it down into the electricity volume value of each month; the inter-provincial government agreement contract includes the selling market entity, the purchasing market entity, the ultra-high voltage channel through which the transaction is conducted, and the total annual transaction volume value of the inter-government agreement.

3. The curve decomposition method for inter-provincial agreement electricity volume according to claim 1, characterized in that, In the step of establishing and solving a centralized optimization model for monthly electricity consumption decomposition, with the constraint that the total monthly electricity consumption before and after each agreement decomposition remains unchanged, to obtain the daily electricity consumption of each agreement under the fixed transaction path method, the expression of the objective function of the centralized optimization model for monthly electricity consumption decomposition is: In the formula, N M Indicates the number of days in the month to be decomposed; VC o,day Indicates the first day The daily electricity consumption deviation penalty cost for the daily seller market entity (o); VC d,day Indicates the first day Japanese buyers are market entities. d Decompose the daily electricity consumption deviation penalty cost; Q o,d,p,day Indicates the first day Japanese purchases and sales ( o , d ) via transaction path p Decomposed daily electricity consumption; QTA o,day Indicates the first day Japanese sellers are the main market players. o Target breakdown of daily electricity consumption; QTA d,day Indicates the first day Japanese buyers are market entities. d The target is to break down daily electricity consumption; K M This represents the weight of the total penalty cost for the seller to decompose daily electricity consumption deviations in the objective function. K M The value range is 0-1. If only the penalty cost of the seller's decomposition deviation is considered, then... K M If we take 1, and only consider the penalty cost of the buyer's breakdown deviation, then K M Set to 0; For the seller, the market entity: For purchasing market participants within the province who have already established spot markets: For purchasing market participants within the province who have not yet established a spot market: In the formula, QM o,d,p Indicates the purchase and sale pair ( o , d ) Through the transaction path p Total monthly electricity consumption under signed inter-provincial and intergovernmental agreements; QT o,day Indicates the first day Japanese sellers are the main market players. o Typical daily power generation; QT d,day Indicates the first day Japanese buyers are market entities. d Typical daily electricity consumption; CP d,day Indicates the first day Japanese buyers are market entities. d The average daily spot price within the province; The constraint expression is: 。 4. The curve decomposition method for inter-provincial agreement electricity volume according to claim 1, characterized in that, In the step of establishing and solving a centralized optimization model for daily electricity decomposition, with the constraint that the total daily electricity consumption before and after each agreement decomposition remains unchanged, to obtain the time-period electricity consumption of each agreement under the fixed transaction path method, the expression of the objective function of the centralized optimization model for daily electricity decomposition is: In the formula, VC o,iday Indicates the first iday Market entities selling during specific time periods o Decomposition of power deviation penalty cost during different time periods; VC d,iday Indicates the first iday Time-based purchasing market entities d Decomposition of power deviation penalty cost during different time periods; QTA o,iday Indicates the first iday Market entities selling during specific time periods o Target decomposition of electricity; QTA d,iday Indicates the first iday Time-based purchasing market entities d The goal is to decompose electricity; K D This represents the weight of the total penalty cost for power deviation during different time periods in the objective function. K D The value range is 0-1. If only the penalty cost of the seller's decomposition deviation is considered, then... K D If we take 1, and only consider the penalty cost of the buyer's breakdown deviation, then K D Set to 0; For the seller, the market entity: For purchasing market participants within the province who have already established spot markets: For purchasing market participants within the province who have not yet established a spot market: In the formula, QD o,d,p Indicates the purchase and sale pair ( o , d ) Through the transaction path p Total daily electricity consumption under signed inter-provincial and intergovernmental agreements; CP d,iday Indicates the first iday Time-based purchasing market entities d The spot price within the province where it is located; The constraint expression is: 。 5. A curve decomposition system for inter-provincial negotiated electricity, characterized in that, include: The monthly power consumption acquisition module is used to acquire the monthly power consumption of each protocol. The monthly electricity consumption to daily electricity consumption decomposition module is used to establish and solve a centralized optimization model for monthly electricity consumption decomposition, with the constraint that the total monthly electricity consumption before and after the decomposition of each agreement remains unchanged, to obtain the daily electricity consumption of each agreement under the fixed transaction path method. The centralized optimization model for monthly electricity consumption decomposition aims to minimize the sum of the penalty costs of the matching degree deviation between the daily electricity consumption curve obtained by each electricity purchase and sale market entity and the typical daily electricity consumption curve or the provincial spot daily average price curve. The daily electricity consumption decomposition module is used to establish and solve a centralized optimization model for daily electricity consumption decomposition, with the constraint that the total daily electricity consumption before and after the decomposition of each agreement remains unchanged, to obtain the electricity consumption of each agreement under the fixed transaction path method. The centralized optimization model for daily electricity consumption decomposition aims to minimize the sum of the penalty costs for the deviation between the electricity curves obtained by each electricity purchase and sale market entity and the typical electricity curve or the spot price curve within the province. The time-based power reallocation module is used to establish and solve a centralized optimization model for multiple UHVDC transmission channels, with the objective function of maximizing the total daily transaction volume. This model yields the time-based power value for each purchase / sale pair on a feasible trading path under a unified trading path optimization approach, ensuring that each purchase / sale pair trades according to the time-based power value of the feasible trading path. The objective function expression of the centralized optimization model for multiple UHVDC transmission channels is: in, QR o,d,p,iday Indicates the first iday Time-based purchase and sale pair ( o , d ) via transaction path p Re-decomposed electricity; N O N represents the total number of market entities selling; D N represents the total number of market participants on the purchasing side. P Indicates the total number of transaction paths; The constraint expression is: In the formula, Q o,d,p,iday Indicates the first iday Time-based purchase and sale pair ( o , d ) via transaction path p Decomposition of electricity; SE p,tie Indicates the contact line tie For transaction path p Sensitivity coefficient; MaxC tie,iday Indicates the contact line tie In the iday Maximum available transmission capacity for a given time period; MinC tie,iday Indicates the contact line tie In the iday Lower limit of available transmission capacity for a given time period; BP d,iday Indicates the market entity of the buyer. d In the iday The declared price for the time period; BP o,iday Indicates the market entity of the seller. o In the iday The declared price for the time period; DP d,p,iday Indicates the market entity of the buyer. d In the iday Time period through transaction path p The transmission fees and network loss deductions that must be borne when purchasing electricity.

6. The curve decomposition system for inter-provincial agreement electricity volume according to claim 5, characterized in that, The monthly electricity acquisition module obtains the total annual transaction volume of each contract based on the inter-provincial government agreement signed by the provinces of the buyer and seller, and breaks it down into monthly electricity values. The inter-provincial government agreement includes the seller market entity, the buyer market entity, the UHV transmission line through which the transaction is conducted, and the total annual transaction volume of the inter-government agreement.

7. The curve decomposition system for inter-provincial agreement electricity volume according to claim 5, characterized in that, The objective function of the monthly electricity consumption to daily electricity consumption decomposition module, which establishes the monthly electricity consumption decomposition centralized optimization model, is expressed as follows: In the formula, N M Indicates the number of days in the month to be decomposed; VC o,day Indicates the first day The daily electricity consumption deviation penalty cost for the daily seller market entity (o); VC d,day Indicates the first day Japanese buyers are market entities. d Decompose the daily electricity consumption deviation penalty cost; Q o,d,p,day Indicates the first day Japanese purchases and sales ( o , d ) via transaction path p Decomposed daily electricity consumption; QTA o,day Indicates the first day Japanese sellers are the main market players. o Target breakdown of daily electricity consumption; QTA d,day Indicates the first day Japanese buyers are market entities. d The target is to break down daily electricity consumption; K M This represents the weight of the total penalty cost for the seller to decompose daily electricity consumption deviations in the objective function. K M The value range is 0-1. If only the penalty cost of the seller's decomposition deviation is considered, then... K M If we take 1, and only consider the penalty cost of the buyer's breakdown deviation, then K M Set to 0; For the seller, the market entity: For purchasing market participants within the province who have already established spot markets: For purchasing market participants within the province who have not yet established a spot market: In the formula, QM o,d,p Indicates the purchase and sale pair ( o , d ) Through the transaction path p Total monthly electricity consumption under signed inter-provincial and intergovernmental agreements; QT o,day Indicates the first day Japanese sellers are the main market players. o Typical daily power generation; QT d,day Indicates the first day Japanese buyers are market entities. d Typical daily electricity consumption; CP d,day Indicates the first day Japanese buyers are market entities. d The average daily spot price within the province; The constraint expression is: 。 8. The curve decomposition system for inter-provincial agreement electricity volume according to claim 5, characterized in that, The objective function of the daily electricity consumption decomposition centralized optimization model established by the daily electricity consumption arrival time period electricity decomposition module is expressed as follows: In the formula, VC o,iday Indicates the first iday Market entities selling during specific time periods o Decomposition of power deviation penalty cost during different time periods; VC d,iday Indicates the first iday Time-based purchasing market entities d Decomposition of power deviation penalty cost during different time periods; QTA o,iday Indicates the first iday Market entities selling during specific time periods o Target decomposition of electricity; QTA d,iday Indicates the first iday Time-based purchasing market entities d The goal is to decompose electricity; K D This represents the weight of the total penalty cost for power deviation during different time periods in the objective function. K D The value range is 0-1. If only the penalty cost of the seller's decomposition deviation is considered, then... K D If we take 1, and only consider the penalty cost of the buyer's breakdown deviation, then K D Set to 0; For the seller, the market entity: For purchasing market participants within the province who have already established spot markets: For purchasing market participants within the province who have not yet established a spot market: In the formula, QD o,d,p Indicates the purchase and sale pair ( o , d ) Through the transaction path p Total daily electricity consumption under signed inter-provincial and intergovernmental agreements; CP d,iday Indicates the first iday Time-based purchasing market entities d The spot price within the province where it is located; The constraint expression is: 。 9. An electronic device, characterized in that, include: Memory, storing at least one instruction; and The processor executes instructions stored in the memory to implement the curve decomposition method for inter-provincial protocol power consumption as described in any one of claims 1 to 4.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the curve decomposition method for inter-provincial agreement power as described in any one of claims 1 to 4.

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