Contract electricity decomposition method, device, electronic device and storage medium

Abstract

The present invention provides a method, device, electronic device and storage medium for decomposing contract electricity, and relates to the technical field of electricity settlement. The method includes: obtaining an electricity decomposition optimization constraint function according to the electric energy settlement electricity and the electric environmental value settlement electricity pre-allocated by the aggregation end to each generator set with different contracts, the total settlement electric energy settlement electricity and the total settlement electric environmental value settlement electricity corresponding to each contract, and the proportion of benchmark settlement electricity corresponding to each generator set; obtaining an electricity decomposition optimization objective function according to the time range type and the electricity settlement demand; optimizing and solving the electricity decomposition optimization problem constructed accordingly, and controlling the aggregation end to decompose electricity to each generator set with different contracts according to the contract electricity decomposition result obtained by the solution. The present invention realizes a more comprehensive acquisition of a contract electricity decomposition strategy that meets the current distributed green electricity transaction settlement requirements, so as to protect the rights and interests of aggregated power generation users within the contract period.

Description

Technical Field

[0001] The present invention relates to the technical field of power settlement, and in particular to a method, device, electronic device and storage medium for decomposing contractual power. Background Art

[0002] In the field of electricity market, according to the settlement requirements for distributed green electricity aggregators in the green electricity trading rules, aggregators should submit to the trading institution the electricity settlement quantity of each distributed power generation user (or unit) and the green electricity environmental value settlement quantity, and the contract quantity decomposition of power generation enterprises participating in green electricity trading in an aggregated form. Usually, aggregators agree on the transaction price with the aggregated distributed green power units in advance, and the prices are varied. The green electricity transaction price between the wholesale side of the aggregator and the wholesale users or power sales companies may also be inconsistent with the contract price of the unit. Therefore, how to achieve the transaction settlement price of the unit to meet the contract price requirements of the unit through a reasonable contract quantity decomposition strategy is an important issue that the industry needs to solve urgently.

[0003] At present, the conventional contract power decomposition method mainly includes: receiving power data and information data and preprocessing the input data, merging and sorting the reported power, determining the ratio of the user's online power to the settlement power, calculating the settlement power according to the online power of each user, and using the greedy algorithm to fairly distribute it to the counterparty, and looping and optimizing in this process to obtain a standardized data file. This contract power decomposition method only considers the difference between the agent's reported power and the actual online power to decompose the contract power, so as to decompose the settleable power to each unit. However, there are many factors that affect the decomposition of contract power. Therefore, based on this contract power decomposition method, it is difficult to fully obtain a contract power decomposition strategy that meets the current distributed green power transaction settlement requirements, and it is difficult to protect the rights and interests of the aggregated power generation users during the contract period. Summary of the invention

[0004] The present invention provides a contract electricity decomposition method, device, electronic device and storage medium, which are used to solve the defect that the prior art only considers the difference between the agent's declared electricity and the actual grid-connected electricity to decompose the contract electricity, which makes it difficult to fully obtain a contract electricity decomposition strategy that meets the current distributed green electricity transaction settlement requirements, and further makes it difficult to protect the rights and interests of aggregated power generation users within the contract period. The method can more fully obtain a contract electricity decomposition strategy that meets the current distributed green electricity transaction settlement requirements, so as to protect the rights and interests of aggregated power generation users within the contract period.

[0005] The present invention provides a method for decomposing a contract quantity of electricity, comprising:

[0006] In the current electricity settlement period, according to the electric energy settlement quantity and the electric power environment value settlement quantity pre-allocated by the aggregation end to each generator set under different contracts, the total settlement electric energy settlement quantity and the total settlement electric power environment value settlement quantity corresponding to each of the contracts, and the proportion of the benchmark settlement quantity corresponding to each of the generator sets, the electric power decomposition optimization constraint function is obtained;

[0007] Obtaining an electricity decomposition optimization objective function according to the time range type and electricity settlement demand corresponding to the current electricity settlement period;

[0008] Constructing an electricity decomposition optimization problem according to the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function;

[0009] Optimizing and solving the electricity decomposition optimization problem, and obtaining the contract electricity decomposition result of the current electricity settlement period according to the solution result; the contract electricity decomposition result includes the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity required to be allocated by the aggregation end to each of the generator sets under different contracts;

[0010] According to the optimal electric energy settlement quantity and the optimal electric power environment value settlement quantity, the aggregation end is controlled to decompose the quantity to each of the generator sets according to different contracts.

[0011] According to a method for decomposing a contract quantity of electricity provided by the present invention, the method further includes:

[0012] In the current electricity settlement period, a first objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, and the average settlement quantity proportion corresponding to the aggregator;

[0013] In the current electricity settlement period, a second objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the power supply transaction price of each of the generator sets;

[0014] In the current electricity settlement period, a third objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, the average settlement quantity ratio corresponding to the aggregator, and the first historical settlement quantity cumulative deviation information of each of the generator sets; the first historical settlement quantity cumulative deviation information includes the cumulative information of settlement quantity deviation in all historical periods before the current electricity settlement period;

[0015] In the current electricity quantity settlement period, a fourth objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets under different contracts, the power supply transaction price of each of the generator sets, and the first historical settlement electricity charge cumulative deviation information of each of the generator sets; the first historical settlement electricity charge cumulative deviation information includes the cumulative information of settlement electricity charge deviations in all historical periods before the current electricity quantity settlement period;

[0016] An objective function library is constructed according to the first objective function, the second objective function, the third objective function and the fourth objective function.

[0017] According to a contract electricity decomposition method provided by the present invention, obtaining an electricity decomposition optimization objective function according to the time range type and electricity settlement demand corresponding to the current electricity settlement period includes:

[0018] According to the time range type, determining a plurality of candidate objective functions in the objective function library;

[0019] According to the electricity settlement demand, the electricity decomposition optimization objective function is determined from a plurality of the candidate objective functions.

[0020] According to a method for decomposing a contract quantity of electricity provided by the present invention, the method further includes:

[0021] When it is determined that the decomposition of the power of each generator set in the current power settlement period is completed, the following steps are performed for each generator set:

[0022] When the proportion of the benchmark settlement electricity corresponding to the current generator set is 0, the first historical settlement electricity cumulative deviation information of the current generator set is updated according to the first historical settlement electricity cumulative deviation information of the current generator set, the optimal electric energy settlement electricity required to be allocated to the current generator set by the aggregation end under different contracts, the settleable grid-connected electricity of the current generator set, and the average settlement electricity ratio, to obtain the second historical settlement electricity cumulative deviation information of the current generator set;

[0023] When the proportion of the benchmark settlement electricity corresponding to the current generator set is greater than 0, the first historical settlement electricity cumulative deviation information of the current generator set is updated according to the first historical settlement electricity cumulative deviation information of the current generator set, the optimal electric energy settlement electricity required to be allocated to the current generator set by the aggregation end under different contracts, the settleable grid-connected electricity of the current generator set, and the proportion of the benchmark settlement electricity corresponding to the current generator set to obtain the second historical settlement electricity cumulative deviation information.

[0024] According to a method for decomposing a contract quantity of electricity provided by the present invention, the method further includes:

[0025] When it is determined that the decomposition of the power of each generator set in the current power settlement period is completed, the following steps are performed for each generator set to obtain:

[0026] According to the first historical settlement electricity fee cumulative deviation information of the current generator set, the settleable electricity fee of the current generator set, the optimal electric energy settlement amount required to be allocated to the current generator set by the aggregation end under different contracts, and the power supply transaction price of the current generator set, the first historical settlement electricity fee cumulative deviation information of the current generator set is updated to obtain the second historical settlement electricity fee cumulative deviation information of the current generator set.

[0027] According to a method for decomposing a contract power quantity provided by the present invention, the power quantity decomposition optimization constraint function includes a first constraint function, a second constraint function, a third constraint function, a fourth constraint function, a fifth constraint function and a sixth constraint function;

[0028] In the current electricity settlement period, according to the electric energy settlement quantity and the electric power environment value settlement quantity pre-allocated to each generator set by the aggregation end according to different contracts, the total settlement electric energy settlement quantity and the total settlement electric power environment value settlement quantity corresponding to each of the contracts, and the proportion of the benchmark settlement quantity corresponding to each of the generator sets, the electric power decomposition optimization constraint function is obtained, including:

[0029] In the current electricity settlement period, the first constraint function is constructed according to the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets according to different contracts, and the total settlement quantity of the settleable electric energy corresponding to each of the contracts;

[0030] Constructing the second constraint function according to the power environment value settlement quantity pre-allocated by the aggregation end to each of the power generating units under different contracts and the total settleable power environment value settlement quantity corresponding to each of the contracts;

[0031] Constructing the third constraint function according to the constraint information of the data type of the power environment value settlement quantity pre-allocated by the aggregation end to each of the power generating sets under different contracts;

[0032] Constructing the fourth constraint function according to the power environment value settlement quantity and the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the settleable grid-connected quantity of each of the generator sets;

[0033] The fifth constraint function is constructed according to the power environment value settlement quantity and the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, as well as the benchmark settlement quantity proportion corresponding to each of the generator sets and the settleable grid-connected quantity of each of the generator sets;

[0034] The sixth constraint function is constructed based on the minimum information of the electric energy settlement amount pre-allocated by the aggregation end to each of the generator sets under different contracts.

[0035] According to a method for decomposing a contract quantity of electricity provided by the present invention, the method further includes:

[0036] When it is determined that there is no solution to the solution, the benchmark settlement electricity proportion corresponding to each generator set is adjusted according to the difference between the benchmark settlement electricity proportion corresponding to each generator set and the preset settlement electricity proportion adjustment coefficient corresponding to the current electricity settlement period.

[0037] The present invention also provides a contract power decomposition device, comprising:

[0038] The first acquisition unit is used to acquire the power decomposition optimization constraint function within the current power settlement period according to the electric energy settlement power and the electric power environment value settlement power pre-allocated by the aggregation end to each generator set according to different contracts, the total settlement power of the electric energy settlement and the total settlement power environment value settlement corresponding to each of the contracts, and the proportion of the benchmark settlement power corresponding to each of the generator sets;

[0039] A second acquisition unit is used to acquire an electricity decomposition optimization objective function according to a time range type and an electricity settlement demand corresponding to the current electricity settlement period;

[0040] A construction unit, configured to construct an electric quantity decomposition optimization problem according to the electric quantity decomposition optimization objective function and the electric quantity decomposition optimization constraint function;

[0041] An optimization unit, configured to optimize and solve the power decomposition optimization problem, and obtain the contract power decomposition result of the current power settlement period according to the solution result; the contract power decomposition result includes the optimal electric energy settlement power and the optimal electric power environment value settlement power required to be allocated by the aggregation end to each of the generator sets under different contracts;

[0042] The decomposition unit is used to control the aggregation end to decompose the electricity to each of the generator sets according to different contracts based on the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity.

[0043] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-described contract electricity decomposition methods is implemented.

[0044] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the contract electricity decomposition method as described in any one of the above is implemented.

[0045] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned contract electricity decomposition methods.

[0046] The contract electricity decomposition method, device, electronic device and storage medium provided by the present invention adaptively construct a corresponding electricity decomposition optimization objective function by comprehensively considering the electric energy settlement electricity and the electric environmental value settlement electricity pre-allocated by the aggregation end to each generator set under different contracts, the total settleable electric energy settlement electricity and the total settleable electric environmental value settlement electricity corresponding to each contract, the benchmark settlement electricity proportion corresponding to each generator set, and the time range type and electricity settlement demand corresponding to the current electricity settlement period, so that the electricity decomposition optimization problem constructed in this way can be solved through optimization, and the contract electricity decomposition result that achieves efficient, fair and reasonable electricity distribution on the basis of satisfying the electricity decomposition optimization constraints is comprehensively obtained; based on this contract electricity decomposition result, it is possible to achieve optimized decomposition of the settlement electricity of each generator set on the basis of more comprehensively considering the complexity and diversity of distributed green electricity transaction settlement, thereby effectively protecting the rights and interests of aggregated power generation users within the contract period, and solving the problem that the traditional contract electricity decomposition method is difficult to fully meet the current distributed green electricity transaction settlement requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 This is one of the flow charts of the contract electricity decomposition method provided by the present invention.

[0049] Figure 2 This is the second flow chart of the contract electricity decomposition method provided by the present invention.

[0050] Figure 3 It is a structural schematic diagram of the contract electricity decomposition device provided by the present invention.

[0051] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] The contract electricity decomposition method provided in this embodiment can be applied to other aggregation trading scenarios such as distributed green electricity aggregation trading scenarios. The following takes the distributed green electricity aggregation trading scenario as an example to describe the contract electricity decomposition method provided by the present invention.

[0054] In the field of electricity market, according to the settlement requirements for distributed green electricity aggregators (or aggregation terminals) in the green electricity trading rules, aggregators should submit to the trading institution the electricity settlement amount of each distributed power generation user (or unit) and the green electricity environmental value settlement amount, and the contract electricity decomposition of power generation enterprises participating in green electricity trading in an aggregated form. Among them, when settling the green electricity amount, the on-grid electricity is calculated as the sum of the on-grid electricity of all distributed power generation users participating in the transaction in the transaction month; when settling the green electricity environmental value electricity, the on-grid electricity is calculated as the sum of the on-grid electricity of each distributed user participating in the transaction in the transaction month, rounded to an integer in megawatt-hours (the tail difference is not accumulated).

[0055] Usually, aggregators agree on a transaction price (or unit contract price) with the aggregated distributed green power units in advance, and the prices vary. The green electricity transaction price between the wholesale side of the aggregator and wholesale users or power sales companies (that is, the sum of the green electricity energy transaction price and the green electricity environmental value price) may be inconsistent with the unit contract price. Therefore, how to achieve a reasonable contract electricity decomposition strategy to ensure that the unit's transaction settlement price meets the unit's contract price requirements is an important issue that the industry urgently needs to solve.

[0056] At present, the conventional method of decomposing contract electricity mainly includes: receiving electricity data and information data and pre-processing the input data, merging and sorting the reported electricity, determining the ratio of the user's online electricity to the settlement electricity, calculating the settlement electricity based on the online electricity of each user, and using the greedy algorithm to fairly distribute it to the counterparty, and looping and optimizing in this process to obtain a standardized data file.

[0057] However, this contract power decomposition method can only be applied to the situation where the transaction price on the wholesale side of the aggregator is equal to or higher than the contract price of the unit, and cannot handle the situation where the transaction price is lower than the contract price of the unit, resulting in an increase in the types of green power transaction prices on the wholesale side of the aggregator; and it needs to rely on the declared power of the agent as the settlement input, which cannot adapt to the scenario where the aggregator actively predicts the power and does not need the unit (or agent) to declare the power, and it is difficult to lower the threshold for the unit (or agent) to participate in power trading. Only the difference between the agent's declared power and the actual grid power is considered to decompose the contract power to decompose the settleable power to each unit. There are many factors that affect the decomposition of contract power, such as the contract price or agreement settlement ratio of different units (or agents) for different units, and the green power energy and green power environmental value during the green power transaction. Therefore, according to this contract power decomposition method, it is difficult to fully obtain a contract power decomposition strategy that meets the current distributed green power transaction settlement requirements, and it is impossible to solve the settlement price requirements of a single unit after the decomposition and combination of different wholesale side transaction contracts, and it is impossible to adapt to the current distributed green power transaction settlement requirements, and thus it is difficult to protect the rights and interests of aggregated power generation users during the contract period.

[0058] In response to the above problems, this embodiment provides a contract electricity decomposition method, which can be implemented under different aggregation agreements, that is, the contract prices of different power generation units and different agreement settlement ratios. The aggregator can comprehensively consider the electricity energy price and green electricity environmental value price of each power generation unit and each wholesale-side green electricity trading contract, the aggregation agreement requirements of each aggregated unit, and different settlement targets, and comprehensively obtain a contract electricity decomposition strategy that meets the current distributed green electricity trading settlement requirements, so as to reasonably decompose different wholesale-side green electricity trading contracts to each power generation unit to ensure that the aggregation agreement requirements of the power generation unit are met, so as to help improve the contract decomposition efficiency under the massive number of aggregated units, protect the rights and interests of aggregated power generation users during the contract period, and streamline the number and price types of green electricity trading contracts on the wholesale side of the aggregator.

[0059] Figure 1 This is one of the flow diagrams of the contract power decomposition method provided by the present invention, which can be applied to an electricity settlement system including an aggregation terminal and multiple generator sets. The aggregation terminal can allocate corresponding electric energy settlement power and electric environmental value settlement power to these generator sets within a specific power settlement period according to the contracts signed with different generator sets, thereby realizing power settlement for each generator set.

[0060] like Figure 1 As shown, the method includes step 110, step 120, step 130, step 140 and step 150.

[0061] Step 110, during the current electricity settlement period, obtain the electricity decomposition optimization constraint function according to the electric energy settlement electricity and the electric power environment value settlement electricity pre-allocated to each generator set by the aggregation end with different contracts, the total settleable electric energy settlement electricity and the total settleable electric power environment value settlement electricity corresponding to each of the contracts, and the proportion of the benchmark settlement electricity corresponding to each of the generator sets.

[0062] Among them, the electricity settlement period is the period for the current electricity settlement, such as one month or one year. Correspondingly, the current electricity settlement period can be the current month or the current year. The following takes one month as an electricity settlement period as an example to explain the contract electricity decomposition method provided in this embodiment.

[0063] Optionally, when performing contract electricity decomposition, basic settlement data is first obtained, including but not limited to basic data on the aggregation side, basic data on the wholesale side, and historical accumulated settlement data.

[0064] Among them, the basic data on the aggregation side includes the settlement information of each generator set, such as , , etc.; among them, The generator set in the current electricity settlement period The amount of electricity that can be billed on the grid, which can be pushed by the power market operator, in megawatt-hours (MWh); For generator sets The power supply transaction price, that is, the power generation unit The transaction price agreed in the aggregation agreement (or the unit contract price), in RMB / MWh; For generator sets The corresponding benchmark settlement electricity ratio, that is, the generator set The percentage of benchmark settlement electricity volume agreed in the aggregation agreement. If this data exists, the default value is 0% and the minimum value is 0%. It can be adjusted in real time according to actual business needs.

[0065] The basic data on the wholesale side includes various settlement parameters of the aggregator under the wholesale side transaction contract, such as , , , , ,and Etc. Among them, For the contract The corresponding total amount of settleable electric energy is the amount of green electricity trading contract of the aggregator on the wholesale side in the green electricity trading scenario. The amount of green electricity that can be settled is pushed by the power market operator and the unit is megawatt-hour (MWh). For the contract The corresponding electricity energy settlement price, for the green electricity trading scenario, is the green electricity trading contract of the aggregator on the wholesale side. The green electricity energy settlement price is in yuan / MWh; For the contract The corresponding total amount of electricity that can be settled for the environmental value of electricity. For the green electricity trading scenario, it is the amount of electricity that the aggregator pays in the wholesale green electricity trading contract. The amount of electricity that can be settled based on the environmental value of green electricity. For the contract The corresponding settlement price of the power environmental value is the price set by the aggregator in the green power trading contract on the wholesale side in the green power trading scenario. The environmental value price of green electricity, in RMB / MWh; For the aggregation end, the contract To the generator The pre-allocated electricity settlement amount is the wholesale contract of the aggregator in the green electricity trading scenario. Pre-disassembly to generator set Green electricity energy settlement quantity; For the aggregation end, the contract To the generator The pre-allocated electricity environmental value settlement quantity, for the green electricity trading scenario, is the aggregator wholesale side contract Pre-disassembly to generator set The green electricity environmental value settlement electricity volume.

[0066] Historical cumulative settlement data refers to the settlement data accumulated during the historical settlement period, such as , ;in, The electricity settlement period ends In all historical periods (including the electricity settlement period and electricity settlement period Generators in previous historical periods The accumulated information of the settlement electricity deviation is the cumulative information of the settlement electricity deviation as of the previous month ( Monthly settlement of generator sets The rolling deviation of the historical monthly settlement electricity, in megawatt-hours (MWh), with an initial value of 0 MWh. The electricity settlement period ends Generators in all historical periods The accumulated information of the settlement electricity fee deviation is the cumulative information of the settlement electricity fee deviation as of the previous month ( Monthly settlement of generator sets The rolling deviation of electricity charges settled in historical months, in Yuan, with an initial value of 0 Yuan.

[0067] After obtaining the basic settlement data, the aggregation end in the settlement basic data can be combined to construct multiple constraint functions by combining the electric energy settlement quantity and the electric environmental value settlement quantity pre-allocated to each generator set according to different contracts, the total settlement electric energy settlement quantity and the total settlement electric environmental value settlement quantity corresponding to each contract, and the proportion of benchmark settlement quantity corresponding to each generator set, so as to obtain the quantity decomposition optimization constraint function that ensures the stable operation of the electric power settlement system and the efficient, fair and reasonable distribution of electricity, thereby improving the efficient, reasonable and accurate decomposition of the contract electricity.

[0068] Among them, the multiple constraint functions include at least rigid settlement calculation boundary conditions and optional settlement calculation boundary conditions; among them, the rigid settlement calculation boundary conditions include but are not limited to power balance constraints, data type constraints, and power allocation rationality and capacity constraints, etc., which are not specifically limited in this embodiment. Optional settlement calculation boundary conditions include but are not limited to data upper limit constraints and / or data lower limit constraints, etc., which are not specifically limited in this embodiment.

[0069] Step 120: Obtain an electricity decomposition optimization objective function according to the time range type corresponding to the current electricity settlement period and the electricity settlement demand.

[0070] Among them, the time range type is used to characterize different types of electricity fee settlement and electricity price balance period ranges in the current electricity settlement period. For example, the current electricity settlement period (such as the current month) can be used as the settlement time range. In this scenario, only the settlement results of the current electricity settlement period are considered to meet the aggregation agreement requirements; for example, the entire contract period can be used as the settlement time range. In this scenario, the cumulative settlement income of all historical electricity settlement periods within the aggregation contract period is considered.

[0071] The electricity settlement demand is used to characterize different electricity settlement targets in the current electricity settlement period, including but not limited to the target of minimizing the deviation of the settlement electricity quantity or the target of minimizing the deviation of the settlement electricity fee, etc. This embodiment does not specifically limit this.

[0072] Optionally, due to different optimization methods and optimization targets corresponding to different time range types and different electricity settlement requirements, the corresponding time range type and electricity settlement requirement can be selected for the current electricity settlement period, and the corresponding objective function can be determined as the electricity decomposition optimization objective function corresponding to the current electricity settlement period in the objective function library pre-constructed based on different time range types and electricity settlement requirements, so as to meet the needs of users while protecting the rights and interests of aggregated power generation users within the contract period.

[0073] Here, the objective function library includes but is not limited to an objective function that takes the current month as the settlement time range and aims to minimize the deviation of the settlement electricity quantity, an objective function that takes the current month as the settlement time range and aims to minimize the deviation of the settlement electricity fee, an objective function that takes the entire contract period as the settlement time range and aims to minimize the deviation of the settlement electricity quantity, and an objective function that takes the entire contract period as the settlement time range and aims to minimize the deviation of the settlement electricity fee. This embodiment does not make specific limitations on this.

[0074] Here, the method for obtaining the electricity decomposition optimization objective function can be achieved through multiple associated matching, such as first matching according to the time range type to obtain the objective function matching the time range type, and then further matching on this basis to obtain the objective function matching the electricity settlement demand as the electricity decomposition optimization objective function; for example, first matching according to the electricity settlement demand to obtain the objective function matching the electricity settlement demand, and then further matching on this basis to obtain the objective function matching the time range type as the electricity decomposition optimization objective function; or the combination information of the time range type and the electricity settlement demand corresponding to the current electricity settlement period is input into a pre-trained recognition model that can identify the corresponding objective function based on the combination information of different time range types and different electricity settlement demands, so as to output the electricity decomposition optimization objective function through the recognition model identification, etc. This embodiment does not make specific limitations on this.

[0075] Step 130: construct an electricity decomposition optimization problem according to the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function.

[0076] Optionally, after obtaining the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function, the electricity decomposition optimization objective function can be used as the optimization target, and the electricity decomposition optimization constraint function can be comprehensively considered to constrain the electricity decomposition optimization objective function, thereby constructing an electricity decomposition optimization problem, so that the electricity decomposition optimization problem constructed in this way can be solved through optimization, and the contract electricity decomposition result that can achieve efficient, fair and reasonable electricity distribution on the basis of satisfying the electricity decomposition optimization constraints can be fully obtained. By optimizing the settlement electricity of each generator set based on this contract electricity decomposition result, the rights and interests of the aggregated generator sets during the contract period can be effectively protected.

[0077] Step 140, optimize and solve the electricity decomposition optimization problem, and obtain the contract electricity decomposition result of the current electricity settlement period based on the solution result; the contract electricity decomposition result includes the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity required to be allocated by the aggregation end to each of the generator sets under different contracts.

[0078] Step 150, according to the optimal electric energy settlement quantity and the optimal electric power environment value settlement quantity, control the aggregation end to decompose the quantity to each of the generator sets according to different contracts.

[0079] Optionally, after obtaining the electricity decomposition optimization problem, various optimization algorithms, such as heuristic search, genetic algorithm, particle swarm algorithm, etc., can be used to iteratively optimize and solve the electricity decomposition optimization problem, so as to optimize the contract electricity decomposition result of the current electricity settlement period, and then obtain the optimal electric energy settlement electricity and the optimal power environmental value settlement electricity required to be allocated to each generator set by the aggregation end under different contracts.

[0080] In addition, the optimized contract electricity decomposition results for the current electricity settlement period are organized into a reporting format that meets the requirements of the market operating agency and then transmitted to the aggregation end, so that the aggregation end can decompose the corresponding electric energy settlement electricity and power environmental value settlement electricity to each generator set based on the optimal electric energy settlement electricity and optimal power environmental value settlement electricity required to be allocated to each generator set under different contracts in the optimized contract electricity decomposition results for the current electricity settlement period, thereby ensuring the rights and interests of the aggregated generator sets within the contract period.

[0081] The method provided in this embodiment adaptively constructs a corresponding electricity decomposition optimization objective function by comprehensively considering the electric energy settlement quantity and the electric environmental value settlement quantity pre-allocated by the aggregation end to each generator set under different contracts, the total settleable electric energy settlement quantity and the total settleable electric environmental value settlement quantity corresponding to each contract, the proportion of benchmark settlement quantity corresponding to each generator set, and the time range type and electricity settlement demand corresponding to the current electricity settlement period, so that the electricity decomposition optimization problem constructed in this way can be solved through optimization, and the contract electricity decomposition result that achieves efficient, fair and reasonable electricity allocation on the basis of satisfying the electricity decomposition optimization constraints is obtained; based on this contract electricity decomposition result, it is possible to optimize the decomposition of the settlement quantity of each generator set on the basis of more comprehensively considering the complexity and diversity of distributed green electricity transaction settlement, thereby effectively protecting the rights and interests of aggregated power generation users within the contract period, and solving the problem that the traditional contract electricity decomposition method is difficult to fully meet the current distributed green electricity transaction settlement requirements.

[0082] In some embodiments, the method further comprises:

[0083] In the current electricity settlement period, a first objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, and the average settlement quantity proportion corresponding to the aggregator;

[0084] In the current electricity settlement period, a second objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the power supply transaction price of each of the generator sets;

[0085] In the current electricity settlement period, a third objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, the average settlement quantity ratio corresponding to the aggregator, and the first historical settlement quantity cumulative deviation information of each of the generator sets; the first historical settlement quantity cumulative deviation information includes the cumulative information of settlement quantity deviation in all historical periods before the current electricity settlement period;

[0086] In the current electricity quantity settlement period, a fourth objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets under different contracts, the power supply transaction price of each of the generator sets, and the first historical settlement electricity charge cumulative deviation information of each of the generator sets; the first historical settlement electricity charge cumulative deviation information includes the cumulative information of settlement electricity charge deviations in all historical periods before the current electricity quantity settlement period;

[0087] An objective function library is constructed according to the first objective function, the second objective function, the third objective function and the fourth objective function.

[0088] Among them, the first objective function is an objective function constructed with the current month as the settlement time range and the minimum settlement electricity deviation as the target combination. Specifically, the settlement electricity deviation is obtained based on the total value of pre-settled electricity formed by the sum of the electric energy settlement electricity pre-allocated by all contracts to each generator set at the aggregation end, and the total value of settleable electricity formed by the product of the settleable grid-connected electricity of each generator set and the average settlement electricity ratio corresponding to the aggregation end, and is calculated with the goal of minimizing this settlement electricity deviation; Among them, the calculation formula of the first objective function is:

[0089] ;

[0090] In the formula, is the first objective function; In the current electricity settlement period, the aggregation end uses all contracts to pay the generators The sum of the pre-allocated electric energy settlement electricity, The generator set in the current electricity settlement period of billable grid-connected electricity; It is the average settlement electricity ratio corresponding to the aggregation end during the current electricity settlement period.

[0091] In some embodiments, the average settlement electricity ratio is obtained based on the following steps:

[0092] Calculate the sum of the billable grid-connected electricity of all generators to obtain the first total electricity value; calculate the sum of the total settlement electricity of the billable electric energy corresponding to all contracts to obtain the second total electricity value; obtain the average settlement electricity ratio based on the ratio between the first total electricity value and the second total electricity value , the specific calculation formula is:

[0093] ;

[0094] In the formula, is the first total power value, The generator set in the current electricity settlement period of billable grid-connected electricity; is the second total power value, For the contract The corresponding total amount of billable electrical energy.

[0095] The second objective function is an objective function constructed with the current month as the settlement time range and the minimum deviation of the settlement electricity fee as the target combination. Specifically, the settlement electricity fee deviation is obtained based on the settleable electricity fee of each generator set, the sum of the settlement electricity quantity pre-allocated to each generator set by all contracts at the aggregation end, and the power supply transaction price of each generator set. The settlement electricity fee deviation is calculated with the goal of minimizing this settlement electricity fee deviation; the calculation formula of the second objective function is:

[0096] ;

[0097] In the formula, is the second objective function; For generator sets The billable electricity bill In the current electricity settlement period, the aggregation end uses all contracts to pay the generators The sum of the pre-allocated electric energy settlement quantity; For generator sets electricity trading price.

[0098] In some embodiments, the billable electricity fee for each generator set may be calculated based on the following steps:

[0099] According to the electric energy settlement quantity pre-allocated to each generator set by the aggregation end under different contracts in the current electricity settlement period, the electric energy settlement price corresponding to each contract, the electric power environment value settlement quantity pre-allocated to each generator set by the aggregation end under different contracts, and the electric power environment value settlement price corresponding to each contract, the settleable electricity fee of each generator set is calculated. The specific calculation formula is:

[0100] ;

[0101] In the formula, For the aggregation end, the contract To the generator The pre-allocated electric energy settlement quantity; For the contract The corresponding electricity energy settlement price; For the aggregation end, the contract To the generator Pre-allocated electricity environmental value settlement electricity, For the contract The corresponding settlement price of the environmental value of electricity.

[0102] The third objective function is an objective function constructed with the entire contract period as the settlement time range and the minimum settlement electricity deviation as the target combination. It considers the settlement electricity deviation in the current electricity settlement period, and further considers the accumulated information of the settlement electricity deviation in the historical settlement period. Specifically, it obtains the settlement electricity deviation based on the total value of pre-settlement electricity formed by the sum of the electric energy settlement electricity pre-allocated to each generator set by all contracts at the aggregation end, the total value of settleable electricity formed by the product of the settleable grid-connected electricity of each generator set and the average settlement electricity ratio corresponding to the aggregation end, and the accumulated information of settlement electricity deviation in all historical periods before the current electricity settlement period, and is calculated with the goal of minimizing this settlement electricity deviation; wherein, the calculation formula of the third objective function is:

[0103] ;

[0104] In the formula, is the third objective function; In the current electricity settlement period, the aggregation end uses all contracts to pay the generators The sum of the pre-allocated electric energy settlement electricity, The generator set in the current electricity settlement period of billable grid-connected electricity; is the average settlement power ratio corresponding to the aggregation end in the current power settlement period, The electricity settlement period ends Generators in all historical periods The accumulated information of the settlement power deviation, that is, the generator set The first historical settlement electricity accumulated deviation information.

[0105] The fourth objective function is an objective function constructed with the entire contract period as the settlement time range and the minimum deviation of the settlement electricity fee as the target combination. It considers the deviation of the settlement electricity fee in the current electricity settlement period, and further considers the accumulated information of the deviation of the settlement electricity fee in the historical settlement period. Specifically, it obtains the settlement electricity fee deviation based on the settleable electricity fee of each generator set, the sum of the settlement electricity amount pre-allocated to each generator set by all contracts by the aggregation end and the power supply transaction price of each generator set, and the accumulated information of the settlement electricity fee deviation in all historical periods before the current electricity settlement period, and calculates it with the goal of minimizing this settlement electricity fee deviation. Among them, the calculation formula of the fourth objective function is:

[0106] ;

[0107] In the formula, is the fourth objective function; For generator sets The billable electricity bill In the current electricity settlement period, the aggregation end uses all contracts to pay the generators The sum of the pre-allocated electric energy settlement quantity; For generator sets The power supply transaction price; The electricity settlement period ends Generators in all historical periods The accumulated information of the settlement electricity fee deviation, that is, the generator set The first historical settlement electricity fee accumulated deviation information.

[0108] In summary, when the settlement time range is the entire contract period, by considering the deviations in the settlement of historical months of the generator set, the premium transaction electricity charges or unsettled electricity charges in historical months can be comprehensively considered to protect the rights and interests of the distributed generator set during the contract period.

[0109] Optionally, after obtaining the first objective function, the second objective function, the third objective function and the fourth objective function, the first objective function, the second objective function, the third objective function and the fourth objective function can be associated with their respective corresponding time range types and electricity settlement requirements to construct an objective function library, as shown in Table 1.

[0110] Table 1 Optimization function table of the objective function library

[0111]

[0112] In some embodiments, obtaining the power decomposition optimization objective function according to the time range type and power settlement demand corresponding to the current power settlement period includes:

[0113] According to the time range type, determining a plurality of candidate objective functions in the objective function library;

[0114] According to the electricity settlement demand, the electricity decomposition optimization objective function is determined from a plurality of the candidate objective functions.

[0115] Optionally, after the objective function library is constructed, multiple candidate objective functions associated with the time range type may be first determined in the objective function library based on the time range type. For example, if the time range type is the current electricity settlement period as the settlement time range, the corresponding multiple candidate objective functions are the first objective function and the second objective function; if the time range type is the entire contract period as the settlement time range, the corresponding multiple candidate objective functions are the third objective function and the fourth objective function.

[0116] After obtaining multiple candidate objective functions associated with the time range type, based on this, the objective function associated with the electricity settlement demand can be further obtained from the multiple candidate objective functions based on the electricity settlement demand as the final electricity decomposition optimization objective function. It should be noted that the electricity settlement demand includes one or more settlement targets. When it is a single settlement target, the single objective function associated with the single settlement target can be directly used as the final electricity decomposition optimization objective function; when it is multiple settlement targets, multiple objective functions associated with multiple settlement targets can be merged as the final electricity decomposition optimization objective function. For example, in the scenario where the current electricity settlement period is the settlement time range, when the electricity settlement demand includes two settlement targets of minimizing the comprehensive settlement electricity deviation and the settlement electricity fee deviation, the first objective function and the second objective function can be merged to form the final electricity decomposition optimization objective function; when the electricity settlement demand includes a single settlement target of minimizing the settlement electricity deviation, the first objective function can be used as the final electricity decomposition optimization objective function.

[0117] The method provided in this embodiment takes the minimum deviation of the settlement power as the objective function, which can make the proportion of the settlement power of each generator set to the grid-connected power closer to the proportion of the overall settlement power of the aggregator to the overall grid-connected power, or when >0, the proportion of the settlement electricity of each generator set to the grid-connected electricity is closer to the benchmark settlement ratio agreed in the aggregation agreement; the objective function with the minimum deviation of the settlement electricity fee as the goal can make the settlement electricity price of each generator set closer to the settlement price agreed in the aggregation agreement, thereby forming multiple objective functions by combining multiple different settlement objectives and multiple different calculations of the balance period range of the electricity fee settlement price to ensure that the aggregator can comprehensively consider the electricity energy price and green electricity environmental value price of each generator set and each wholesale green electricity trading contract, the aggregation agreement requirements of each aggregated unit, different settlement time ranges, and different settlement objectives, and adaptively construct different target optimization problems to optimize the contract electricity decomposition results, so as to Different wholesale-side green electricity trading contracts are optimized and decomposed into each unit. By solving the objective function through different settlement time ranges and different settlement target settings, it is possible to flexibly combine different green electricity trading contracts on the wholesale side of the aggregator to meet the diverse and customized agreements of the aggregated power generation users, and to improve the flexibility of the aggregator in setting wholesale trading prices and electricity volumes when implementing wholesale-side green electricity transactions. This can improve the contract decomposition efficiency under a large number of aggregated units while ensuring the minimum deviation in settlement electricity volume and / or settlement electricity fee, so as to obtain a more comprehensive and flexible contract electricity volume decomposition strategy that meets the current distributed green electricity transaction settlement requirements, thereby protecting the rights and interests of the aggregated power generation units within the contract period.

[0118] In some embodiments, the method further comprises:

[0119] When it is determined that the decomposition of the power of each generator set in the current power settlement period is completed, the following steps are performed for each generator set:

[0120] When the proportion of the benchmark settlement electricity corresponding to the current generator set is 0, the first historical settlement electricity cumulative deviation information of the current generator set is updated according to the first historical settlement electricity cumulative deviation information of the current generator set, the optimal electric energy settlement electricity required to be allocated to the current generator set by the aggregation end under different contracts, the settleable grid-connected electricity of the current generator set, and the average settlement electricity ratio, to obtain the second historical settlement electricity cumulative deviation information of the current generator set;

[0121] When the proportion of the benchmark settlement electricity corresponding to the current generator set is greater than 0, the first historical settlement electricity cumulative deviation information of the current generator set is updated according to the first historical settlement electricity cumulative deviation information of the current generator set, the optimal electric energy settlement electricity required to be allocated to the current generator set by the aggregation end under different contracts, the settleable grid-connected electricity of the current generator set, and the proportion of the benchmark settlement electricity corresponding to the current generator set to obtain the second historical settlement electricity cumulative deviation information.

[0122] Optionally, after the electricity settlement in the current electricity settlement period is completed, the cumulative information of the settlement electricity deviation of each generator set in the current electricity settlement period and all historical periods before the current electricity settlement period can be updated to provide historical cumulative settlement data for the electricity settlement in the next electricity settlement period. Among them, the update calculation formula of the first historical settlement electricity cumulative deviation information is specifically:

[0123] ;

[0124] in, The electricity settlement period ends In all historical periods (including the electricity settlement period and electricity settlement period Generators in previous historical periods The accumulated information of the settlement power deviation, that is, the generator set The second historical settlement electricity accumulated deviation information; The electricity settlement period ends In all historical periods (including the electricity settlement period Previous historical periods, or periods including electricity settlement and electricity settlement period Generators in previous historical periods The accumulated information of the settlement power deviation, that is, the generator set The first historical settlement electricity accumulated deviation information; The aggregation end sends electricity to the generators with different contracts during the current electricity settlement period. The optimal amount of electricity to be allocated for settlement, The generator set in the current electricity settlement period of billable grid-connected electricity; The average settlement electricity ratio corresponding to the aggregation end in the current electricity settlement period; It is the proportion of benchmark settlement electricity corresponding to the generating set.

[0125] In some embodiments, the first historical settlement electricity fee cumulative deviation information is obtained based on the following steps:

[0126] When it is determined that the decomposition of the power of each generator set in the current power settlement period is completed, the following steps are performed for each generator set to obtain:

[0127] According to the first historical settlement electricity fee cumulative deviation information of the current generator set, the settleable electricity fee of the current generator set, the optimal electric energy settlement amount required to be allocated to the current generator set by the aggregation end under different contracts, and the power supply transaction price of the current generator set, the first historical settlement electricity fee cumulative deviation information of the current generator set is updated to obtain the second historical settlement electricity fee cumulative deviation information of the current generator set.

[0128] Optionally, after the electricity settlement in the current electricity settlement period is completed, the cumulative information of the settlement electricity fee deviation of each generator set in the current electricity settlement period and all historical periods before the current electricity settlement period can be updated to provide historical cumulative settlement data for the electricity settlement in the next electricity settlement period. Among them, the update calculation formula of the first historical settlement electricity fee cumulative deviation information is specifically:

[0129] ;

[0130] in, The electricity settlement period ends Generators in all historical periods The accumulated information of the settlement electricity fee deviation, that is, the generator set Second historical settlement electricity fee accumulated deviation information; The electricity settlement period ends Generators in all historical periods The accumulated information of the settlement electricity fee deviation, that is, the generator set The first historical electricity bill cumulative deviation information; The aggregation end sends electricity to the generators with different contracts during the current electricity settlement period. The optimal amount of electricity to be allocated for settlement, For generator sets electricity trading price.

[0131] In some embodiments, the power decomposition optimization constraint function includes a first constraint function, a second constraint function, a third constraint function, a fourth constraint function, a fifth constraint function and a sixth constraint function;

[0132] In the current electricity settlement period, according to the electric energy settlement quantity and the electric power environment value settlement quantity pre-allocated to each generator set by the aggregation end according to different contracts, the total settlement electric energy settlement quantity and the total settlement electric power environment value settlement quantity corresponding to each of the contracts, and the proportion of the benchmark settlement quantity corresponding to each of the generator sets, the electric power decomposition optimization constraint function is obtained, including:

[0133] In the current electricity settlement period, the first constraint function is constructed according to the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets according to different contracts, and the total settlement quantity of the settleable electric energy corresponding to each of the contracts;

[0134] Constructing the second constraint function according to the power environment value settlement quantity pre-allocated by the aggregation end to each of the power generating units under different contracts and the total settleable power environment value settlement quantity corresponding to each of the contracts;

[0135] Constructing the third constraint function according to the constraint information of the data type of the power environment value settlement quantity pre-allocated by the aggregation end to each of the power generating sets under different contracts;

[0136] Constructing the fourth constraint function according to the power environment value settlement quantity and the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the settleable grid-connected quantity of each of the generator sets;

[0137] The fifth constraint function is constructed according to the power environment value settlement quantity and the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, as well as the benchmark settlement quantity proportion corresponding to each of the generator sets and the settleable grid-connected quantity of each of the generator sets;

[0138] The sixth constraint function is constructed based on the minimum information of the electric energy settlement amount pre-allocated by the aggregation end to each of the generator sets under different contracts.

[0139] Optionally, the first constraint function is used to limit the power balance between the sum of the electric energy settlement power pre-allocated by the aggregation end to all generator sets under different contracts and the total settlement power of the billable electric energy corresponding to the contract, which can be calculated based on the following formula:

[0140] ;

[0141] In the formula, For the aggregation end, the contract To the generator The pre-allocated electric energy settlement quantity; For the contract The corresponding total amount of billable electrical energy.

[0142] The second constraint function is used to limit the balance between the sum of the power environment value settlement electricity pre-allocated by the aggregation end to all generators under different contracts and the total settleable power environment value settlement electricity corresponding to the contract, which can be calculated based on the following formula:

[0143] ;

[0144] In the formula, For the aggregation end, the contract To the generator Pre-allocated electricity environmental value settlement quantity; For the contract The corresponding total electricity volume settled for the environmental value of electricity.

[0145] The third constraint function is used to limit the data type of the power environment value settlement quantity (in megawatt-hours) pre-allocated by each contract to each generator set by the aggregation end to an integer type. The specific calculation formula is:

[0146] ;

[0147] In the formula, is an integer.

[0148] The fourth constraint function is used to limit the power environment value settlement quantity pre-allocated by the aggregation end to each generator set according to each contract to be greater than or equal to 0, and not exceeding the electric energy settlement quantity pre-allocated by the aggregation end to each generator set according to the corresponding contract. The electric energy settlement quantity pre-allocated by the aggregation end to each generator set according to the corresponding contract shall not exceed the settleable grid-connected quantity of the corresponding generator set to ensure the rationality of the settlement. The specific calculation formula is:

[0149] ;

[0150] In the formula, It is the number of generators in the current electricity settlement period. The fourth constraint function is that when a single contract quantity is decomposed into a single generator set, the power environmental value settlement quantity of the contract must be less than or equal to the electric energy settlement quantity of the contract, and the electric energy settlement quantity of the contract must not exceed its on-grid quantity, so as to ensure the rationality of the settlement.

[0151] The fifth constraint function is used to limit the sum of the power environment value settlement electricity pre-allocated by the aggregation end to each generator group under each contract to be greater than or equal to the power environment value settlement electricity pre-allocated by each generator group according to the power environment value settlement electricity pre-allocated by each contract to ... Corresponding benchmark settlement electricity ratio The calculated amount of electricity shall not exceed the sum of the electricity settlement amount pre-allocated by the aggregation end to each generator set according to each contract. The sum of the electricity settlement amount pre-allocated by the aggregation end to each generator set according to the corresponding contract shall not exceed the settleable grid-connected electricity of the corresponding generator set to ensure the rationality of the settlement. The specific calculation formula is:

[0152] ;

[0153] In the formula, [ ] is a rounding operation, and the result is the whole MWh of electricity after discarding the decimal point in MWh; The number of generators in the current electricity settlement period of billable grid-connected electricity, For generator sets The corresponding benchmark settlement electricity ratio, According to the generator set Corresponding benchmark settlement electricity ratio The calculated amount of electricity is the minimum amount of electricity for power environmental value settlement, which is used to ensure the power generation unit At least a certain amount of environmental value electricity settlement can be obtained according to the benchmark ratio stipulated in the agreement. The aggregation end uses each contract to send power generation units The sum of the pre-allocated electricity environmental value settlement electricity, The aggregation end uses each contract to send power generation units The sum of the pre-allocated electric energy settlement electricity.

[0154] The fifth constraint function is for a single generator set In terms of electricity, the total amount of electricity settled in each contract and the total amount of electricity environmental value settled can meet the benchmark settlement ratio required by the aggregation agreement and meet the requirements of market rules.

[0155] Therefore, by constructing the fourth constraint function and the fifth constraint function, not only the contract assigned to a single unit needs to be constrained, but the sum of the electricity consumed by a single unit in each contract is also constrained, thereby effectively ensuring the rationality of the settlement.

[0156] The sixth constraint function is used to limit the amount of electric energy settlement pre-allocated by the aggregation end to each of the generating sets under different contracts to not less than the minimum limit information; wherein, the minimum limit information can be adaptively set according to actual needs, such as being set to 1 megawatt-hour (MWh), etc., and this embodiment does not make specific limitations on this.

[0157] The method provided in this embodiment digitizes the aggregation-side agreement of the power generation users and integrates it into the boundary conditions of the contract decomposition calculation and solution, so that the aggregator can take into account the needs of power generation users with different agreement contract transaction prices and agreement benchmark settlement ratios when decomposing the monthly settlement electricity volume, thereby increasing the negotiation and contract signing space with the aggregated power generation users; and can increase the flexibility of the aggregator in setting wholesale transaction prices and electricity volume when implementing wholesale-side green electricity transactions, thereby achieving improved contract decomposition efficiency under massive aggregation units, while more comprehensively obtaining a contract electricity volume decomposition strategy that meets the current distributed green electricity transaction settlement requirements, so as to protect the rights and interests of the aggregated power generation units within the contract period.

[0158] In some embodiments, the method further comprises:

[0159] When it is determined that there is no solution to the solution, the benchmark settlement electricity proportion corresponding to each generator set is adjusted according to the difference between the benchmark settlement electricity proportion corresponding to each generator set and the preset settlement electricity proportion adjustment coefficient corresponding to the current electricity settlement period.

[0160] Optionally, during the iterative solution process, it is necessary to determine whether the solution result has a solution. If there is a solution, the solution is used as the contract power decomposition result of the current power settlement period, and is transmitted to the aggregation end in a reporting format that meets the requirements of the market operating organization, so that the aggregation end can optimize the power decomposition of each generating unit based on the optimal electric energy settlement power and the optimal electric environmental value settlement power in the contract power decomposition result.

[0161] If there is no solution, it is necessary to adjust the benchmark settlement electricity share corresponding to each generator set based on the difference between the benchmark settlement electricity share corresponding to each generator set and the preset settlement electricity share adjustment coefficient corresponding to the current electricity settlement period, so as to return to the step of obtaining the electricity decomposition optimization constraint function on the basis of the new benchmark settlement electricity share, so as to carry out a new round of optimization solution, until the solution result is obtained to be a solution, and the solution is used as the contract electricity decomposition result of the current electricity settlement period, and transmitted to the aggregation end in a reporting format that meets the requirements of the market operating agency, so that the aggregation end can optimize the electricity decomposition of each generator set according to the optimal electric energy settlement electricity and the optimal electricity environmental value settlement electricity in the contract electricity decomposition result.

[0162] Among them, the calculation formula for adjusting the proportion of benchmark settlement electricity corresponding to each generator set is:

[0163] ;

[0164] In the formula, It is the preset settlement electricity ratio adjustment coefficient corresponding to the current electricity settlement period, which is used to determine the settlement electricity ratio tolerance adjustment step of each generator set. It can be set according to business needs, such as setting it to 5%, or optimizing the selection among multiple preset configuration adjustment coefficients. This embodiment does not make specific limitations on this.

[0165] The method provided in this embodiment ensures the accuracy and feasibility of contract power decomposition in the power market through iterative solution and dynamic adjustment strategy, effectively improves the operational efficiency and fairness of the power market, promotes the optimal allocation of resources, and ultimately achieves power decomposition results that meet the requirements of market operating institutions, providing a solid foundation for the optimal decomposition of power of power generators.

[0166] The following is a specific example to describe the contract electricity decomposition method provided in this embodiment.

[0167] Figure 2 This is the second flow chart of the method for decomposing the contract electricity provided by the present invention; Figure 2 As mentioned above, the complete process of the contract power decomposition method includes:

[0168] Step 210, obtain settlement basic data, including but not limited to aggregation side basic data, wholesale side basic data and historical accumulated settlement data; the aggregation side basic data includes the settlement information of each generator set, such as , , The wholesale side basic data includes various settlement parameters of the aggregation end under the wholesale side transaction contract, such as , , , , ,and etc.; historical cumulative settlement data refers to the settlement data accumulated during the historical settlement period, such as , .

[0169] Step 220, determine the rigid settlement calculation boundary conditions; specifically including the first constraint function, the second constraint function, the third constraint function, the fourth constraint function and the fifth constraint function. The specific calculation formula can be found in the above content and will not be repeated here.

[0170] Step 230, determine optional settlement calculation boundary conditions; specifically including the sixth constraint function, the specific calculation formula is shown above, and will not be repeated here.

[0171] Step 240, select the optimization target of the planning calculation and start the calculation; specifically, based on the time range type and the electricity settlement demand corresponding to the current electricity settlement period, optimize and obtain the electricity decomposition optimization target function in the target function library formed by a combination of multiple different time range types and multiple different electricity settlement demands, and construct the electricity decomposition optimization problem based on the electricity decomposition optimization target function and the constraint function obtained in steps 220-230.

[0172] Step 250, optimizing and solving the power decomposition optimization problem.

[0173] Step 260, determine whether the solution result is no solution; if there is no solution, jump to step 270; if there is a solution, jump to step 280.

[0174] Step 270, adjusting the benchmark settlement electricity proportion corresponding to each generator set; specifically, adjusting the benchmark settlement electricity proportion corresponding to each generator set according to the difference between the benchmark settlement electricity proportion corresponding to each generator set and the preset settlement electricity proportion adjustment coefficient corresponding to the current electricity settlement period;

[0175] Step 280, outputting the contract power decomposition result of the current power settlement period;

[0176] Step 290, updating the historical cumulative settlement deviation data of each generator set, specifically updating the first historical settlement electricity quantity cumulative deviation information and the first historical settlement electricity fee cumulative deviation information of the generator set. The specific update formula can be found in the content described in the above embodiment, which will not be repeated here.

[0177] In summary, compared with the existing traditional manual decomposition of contract electricity, the contract electricity decomposition method proposed in the present invention can greatly improve the settlement efficiency of aggregators, especially for scenarios with a large number of aggregated power generation users. From the development trend of the power market, the aggregation of distributed power generation users to participate in transactions will become more and more extensive. The present invention can effectively improve the operational efficiency and level of aggregators when a large number of distributed power generation users are aggregated. For example, from January to May, the aggregator aggregated more than 2,400 distributed photovoltaic power generation users to participate in transactions. In order to match the transaction prices agreed in 14 aggregation agreements, 14 transactions with different prices must be initiated on the wholesale side, which is extremely inconvenient and inflexible. Usually, it takes 2 to 3 people a day to manually perform the contract electricity settlement decomposition work, and it is impossible to take into account the settlement status of each generator set in historical months. By applying the contract electricity decomposition method proposed in the present invention, the price quantity of the monthly wholesale-side transaction contracts of the aggregator can be controlled within 5 to 6. The contract settlement electricity of different prices can be combined through flexible contract decomposition, which greatly improves the flexibility of the trading strategy and compresses the monthly contract decomposition calculation process to less than 30 minutes. It has currently helped to realize 95,760MWh of distributed green electricity aggregation transaction contracts, with remarkable results.

[0178] The contract electricity decomposition device provided by the present invention is described below. The contract electricity decomposition device described below and the contract electricity decomposition method described above can be referenced to each other.

[0179] Figure 3 A schematic diagram of the structure of the contract power decomposition device provided by the present invention; Figure 3 As shown, the device comprises:

[0180] The first acquisition unit 310 is used to obtain the electricity decomposition optimization constraint function during the current electricity settlement period based on the electric energy settlement electricity and the electric power environment value settlement electricity pre-allocated to each generator set by the aggregation end with different contracts, the total billable electric energy settlement electricity and the total billable electric power environment value settlement electricity corresponding to each of the contracts, and the proportion of benchmark settlement electricity corresponding to each of the generator sets.

[0181] The second acquisition unit 320 is used to acquire the power decomposition optimization objective function according to the time range type corresponding to the current power settlement period and the power settlement demand.

[0182] The construction unit 330 is used to construct an electric quantity decomposition optimization problem according to the electric quantity decomposition optimization objective function and the electric quantity decomposition optimization constraint function.

[0183] The optimization unit 340 is used to optimize and solve the electricity decomposition optimization problem, and obtain the contract electricity decomposition result of the current electricity settlement period based on the solution result; the contract electricity decomposition result includes the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity required to be allocated by the aggregation end to each of the generator sets under different contracts.

[0184] The decomposition unit 350 is used to control the aggregation end to decompose the electricity to each of the generator sets according to different contracts based on the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity.

[0185] The device provided in this embodiment adaptively constructs a corresponding electricity decomposition optimization objective function by comprehensively considering the electric energy settlement quantity and the electric environmental value settlement quantity pre-allocated by the aggregation end to each generator set under different contracts, the total settleable electric energy settlement quantity and the total settleable electric environmental value settlement quantity corresponding to each contract, the proportion of benchmark settlement quantity corresponding to each generator set, and the time range type and electricity settlement demand corresponding to the current electricity settlement period, so that the electricity decomposition optimization problem constructed in this way can be solved through optimization, and the contract electricity decomposition result that achieves efficient, fair and reasonable electricity allocation on the basis of satisfying the electricity decomposition optimization constraints is obtained; based on this contract electricity decomposition result, it is possible to achieve an optimized decomposition of the settlement electricity of each generator set on the basis of more comprehensively considering the complexity and diversity of distributed green electricity transaction settlement, thereby effectively protecting the rights and interests of aggregated power generation users within the contract period, and solving the problem that the traditional contract electricity decomposition method is difficult to fully meet the current distributed green electricity transaction settlement requirements.

[0186] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4As shown, the electronic device may include: a processor 410 , a communication interface 420 , a memory 430 and a communication bus 440 , wherein the processor 410 , the communication interface 420 , and the memory 430 communicate with each other via the communication bus 440 . The processor 410 can call the logic instructions in the memory 430 to execute the contract electricity decomposition method, which includes: in the current electricity settlement period, according to the electric energy settlement electricity and the electric environment value settlement electricity pre-allocated by the aggregation end to each generator set under different contracts, the total settleable electric energy settlement electricity and the total settleable electric environment value settlement electricity corresponding to each of the contracts, and the proportion of benchmark settlement electricity corresponding to each of the generator sets, obtain the electricity decomposition optimization constraint function; according to the time range type and electricity settlement demand corresponding to the current electricity settlement period, obtain the electricity decomposition optimization objective function; according to the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function, construct an electricity decomposition optimization problem; optimize and solve the electricity decomposition optimization problem, and according to the solution result, obtain the contract electricity decomposition result of the current electricity settlement period; the contract electricity decomposition result includes the optimal electric energy settlement electricity and the optimal electric environment value settlement electricity required to be allocated by the aggregation end to each of the generator sets under different contracts; according to the optimal electric energy settlement electricity and the optimal electric environment value settlement electricity, control the aggregation end to decompose electricity to each of the generator sets under different contracts.

[0187] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0188] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the contract electricity decomposition method provided by the above methods, the method including: in the current electricity settlement period, according to the electric energy settlement electricity and the electric power environment value settlement electricity pre-allocated to each generator set by the aggregation end according to different contracts, the total settleable electric energy settlement electricity and the total settleable electric power environment value settlement electricity corresponding to each of the contracts, and the proportion of benchmark settlement electricity corresponding to each of the generator sets, obtain the electricity decomposition optimization constraint function; according to the current electricity According to the time range type and electricity settlement demand corresponding to the electricity settlement period, the electricity decomposition optimization objective function is obtained; according to the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function, an electricity decomposition optimization problem is constructed; the electricity decomposition optimization problem is optimized and solved, and according to the solution result, the contract electricity decomposition result of the current electricity settlement period is obtained; the contract electricity decomposition result includes the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity required to be allocated by the aggregation end to each of the generating sets under different contracts; according to the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity, the aggregation end is controlled to decompose the electricity to each of the generating sets under different contracts.

[0189] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the contract electricity decomposition method provided by the above-mentioned methods, the method comprising: within the current electricity settlement period, according to the electric energy settlement electricity and the electric power environment value settlement electricity pre-allocated to each generator set by the aggregation end according to different contracts, the total settleable electric energy settlement electricity and the total settleable electric power environment value settlement electricity corresponding to each of the contracts, and the proportion of benchmark settlement electricity corresponding to each of the generator sets, obtaining an electricity decomposition optimization constraint function; according to the time range type corresponding to the current electricity settlement period and electricity settlement requirements, obtain the electricity decomposition optimization objective function; construct an electricity decomposition optimization problem according to the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function; optimize and solve the electricity decomposition optimization problem, and obtain the contract electricity decomposition result of the current electricity settlement period according to the solution result; the contract electricity decomposition result includes the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity required to be allocated by the aggregation end to each of the generating sets under different contracts; according to the optimal electric energy settlement electricity and the optimal electric power environment value settlement electricity, control the aggregation end to decompose the electricity to each of the generating sets under different contracts.

[0190] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0191] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0192] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for decomposing contract electricity, characterized in that: include: In the current electricity settlement period, according to the electric energy settlement quantity and the electric power environment value settlement quantity pre-allocated by the aggregation end to each generator set under different contracts, the total settlement electric energy settlement quantity and the total settlement electric power environment value settlement quantity corresponding to each of the contracts, and the proportion of the benchmark settlement quantity corresponding to each of the generator sets, the electric power decomposition optimization constraint function is obtained; Obtaining an electricity decomposition optimization objective function according to the time range type and electricity settlement demand corresponding to the current electricity settlement period; Constructing an electricity decomposition optimization problem according to the electricity decomposition optimization objective function and the electricity decomposition optimization constraint function; Optimizing and solving the electricity decomposition optimization problem, and obtaining the contract electricity decomposition result of the current electricity settlement period according to the solution result; The contract power decomposition result includes the optimal electric energy settlement power and the optimal electric power environment value settlement power required to be allocated by the aggregation end to each of the generator sets under different contracts; According to the optimal electric energy settlement quantity and the optimal electric power environment value settlement quantity, controlling the aggregation end to decompose the quantity to each of the generating sets according to different contracts; The method further comprises: In the current electricity settlement period, a first objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, and the average settlement quantity proportion corresponding to the aggregator; In the current electricity settlement period, a second objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the power supply transaction price of each of the generator sets; In the current electricity settlement period, a third objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, the average settlement quantity ratio corresponding to the aggregator, and the first historical settlement quantity cumulative deviation information of each of the generator sets; the first historical settlement quantity cumulative deviation information includes the cumulative information of settlement quantity deviation in all historical periods before the current electricity settlement period; In the current electricity quantity settlement period, a fourth objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets under different contracts, the power supply transaction price of each of the generator sets, and the first historical settlement electricity charge cumulative deviation information of each of the generator sets; the first historical settlement electricity charge cumulative deviation information includes the cumulative information of settlement electricity charge deviations in all historical periods before the current electricity quantity settlement period; An objective function library is constructed according to the first objective function, the second objective function, the third objective function and the fourth objective function.

2. The method for decomposing contract electricity according to claim 1, characterized in that: The obtaining of the power decomposition optimization objective function according to the time range type and power settlement demand corresponding to the current power settlement period includes: According to the time range type, determining a plurality of candidate objective functions in the objective function library; According to the electricity settlement demand, the electricity decomposition optimization objective function is determined from a plurality of the candidate objective functions.

3. The method for decomposing contract electricity according to claim 1, characterized in that: The method further comprises: When it is determined that the decomposition of the power of each generator set in the current power settlement period is completed, the following steps are performed for each generator set: When the proportion of the benchmark settlement electricity corresponding to the current generator set is 0, the first historical settlement electricity cumulative deviation information of the current generator set is updated according to the first historical settlement electricity cumulative deviation information of the current generator set, the optimal electric energy settlement electricity required to be allocated to the current generator set by the aggregation end under different contracts, the settleable grid-connected electricity of the current generator set, and the average settlement electricity ratio, to obtain the second historical settlement electricity cumulative deviation information of the current generator set; When the proportion of the benchmark settlement electricity corresponding to the current generator set is greater than 0, the first historical settlement electricity cumulative deviation information of the current generator set is updated according to the first historical settlement electricity cumulative deviation information of the current generator set, the optimal electric energy settlement electricity required to be allocated to the current generator set by the aggregation end under different contracts, the settleable grid-connected electricity of the current generator set, and the proportion of the benchmark settlement electricity corresponding to the current generator set to obtain the second historical settlement electricity cumulative deviation information.

4. The method for decomposing contract electricity according to claim 1, characterized in that: The method further comprises: When it is determined that the decomposition of the power of each generator set in the current power settlement period is completed, the following steps are performed for each generator set to obtain: According to the first historical settlement electricity fee cumulative deviation information of the current generator set, the settleable electricity fee of the current generator set, the optimal electric energy settlement amount required to be allocated to the current generator set by the aggregation end under different contracts, and the power supply transaction price of the current generator set, the first historical settlement electricity fee cumulative deviation information of the current generator set is updated to obtain the second historical settlement electricity fee cumulative deviation information of the current generator set.

5. The method for decomposing the contract electricity according to any one of claims 1 to 4, characterized in that: The power decomposition optimization constraint function includes a first constraint function, a second constraint function, a third constraint function, a fourth constraint function, a fifth constraint function and a sixth constraint function; In the current electricity settlement period, according to the electric energy settlement quantity and the electric power environment value settlement quantity pre-allocated to each generator set by the aggregation end according to different contracts, the total settlement electric energy settlement quantity and the total settlement electric power environment value settlement quantity corresponding to each of the contracts, and the proportion of the benchmark settlement quantity corresponding to each of the generator sets, the electric power decomposition optimization constraint function is obtained, including: In the current electricity settlement period, the first constraint function is constructed according to the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets according to different contracts, and the total settlement quantity of the settleable electric energy corresponding to each of the contracts; Constructing the second constraint function according to the power environment value settlement quantity pre-allocated by the aggregation end to each of the power generating units under different contracts and the total settleable power environment value settlement quantity corresponding to each of the contracts; Constructing the third constraint function according to the constraint information of the data type of the power environment value settlement quantity pre-allocated by the aggregation end to each of the power generating sets under different contracts; Constructing the fourth constraint function according to the power environment value settlement quantity and the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the settleable grid-connected quantity of each of the generator sets; The fifth constraint function is constructed according to the power environment value settlement quantity and the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, as well as the benchmark settlement quantity proportion corresponding to each of the generator sets and the settleable grid-connected quantity of each of the generator sets; The sixth constraint function is constructed based on the minimum information of the electric energy settlement amount pre-allocated by the aggregation end to each of the generator sets under different contracts.

6. The method for decomposing the contract power according to any one of claims 1 to 4, characterized in that: The method further comprises: When it is determined that there is no solution to the solution, the benchmark settlement electricity proportion corresponding to each generator set is adjusted according to the difference between the benchmark settlement electricity proportion corresponding to each generator set and the preset settlement electricity proportion adjustment coefficient corresponding to the current electricity settlement period.

7. A contract electricity decomposition device, characterized in that: include: The first acquisition unit is used to acquire the power decomposition optimization constraint function within the current power settlement period according to the electric energy settlement power and the electric power environment value settlement power pre-allocated by the aggregation end to each generator set according to different contracts, the total settlement power of the electric energy settlement and the total settlement power environment value settlement corresponding to each of the contracts, and the proportion of the benchmark settlement power corresponding to each of the generator sets; A second acquisition unit is used to acquire an electricity decomposition optimization objective function according to a time range type and an electricity settlement demand corresponding to the current electricity settlement period; A construction unit, configured to construct an electric quantity decomposition optimization problem according to the electric quantity decomposition optimization objective function and the electric quantity decomposition optimization constraint function; An optimization unit, used for optimizing and solving the power decomposition optimization problem, and obtaining the contract power decomposition result of the current power settlement period according to the solution result; The contract power decomposition result includes the optimal electric energy settlement power and the optimal electric power environment value settlement power required to be allocated by the aggregation end to each of the generator sets under different contracts; A decomposition unit, configured to control the aggregation end to decompose the power to each of the generator sets according to different contracts according to the optimal electric energy settlement power and the optimal electric power environment value settlement power; The device also includes a function library building module, which is used to: In the current electricity settlement period, a first objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, and the average settlement quantity proportion corresponding to the aggregator; In the current electricity settlement period, a second objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation end to each of the generator sets under different contracts, and the power supply transaction price of each of the generator sets; In the current electricity settlement period, a third objective function is constructed according to the electric energy settlement quantity pre-allocated by the aggregator to each of the generator sets under different contracts, the settleable grid-connected quantity of each of the generator sets, the average settlement quantity ratio corresponding to the aggregator, and the first historical settlement quantity cumulative deviation information of each of the generator sets; the first historical settlement quantity cumulative deviation information includes the cumulative information of settlement quantity deviation in all historical periods before the current electricity settlement period; In the current electricity quantity settlement period, a fourth objective function is constructed according to the settleable electricity charges of each of the generator sets, the electric energy settlement quantity pre-allocated by the aggregation terminal to each of the generator sets under different contracts, the power supply transaction price of each of the generator sets, and the first historical settlement electricity charge cumulative deviation information of each of the generator sets; the first historical settlement electricity charge cumulative deviation information includes the cumulative information of settlement electricity charge deviations in all historical periods before the current electricity quantity settlement period; An objective function library is constructed according to the first objective function, the second objective function, the third objective function and the fourth objective function.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the contract electricity decomposition method as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the contract electricity decomposition method as described in any one of claims 1 to 6.

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