A method and system for inter-provincial and intra-provincial power balance coordination optimization

Abstract

The application discloses a kind of inter-provincial power balance coordination optimization method and system, comprising: obtaining inter-provincial transaction member offer and provincial generator set, power purchase user offer;Based on the inter-provincial transaction member offer, the first clearing power and the first price of each market member in inter-provincial are calculated using the pre-established inter-provincial main optimization model;According to the first clearing power and the first price and provincial generator set, power purchase user offer, the second clearing power and the second price of each market member in provincial are calculated using the pre-established provincial sub-optimization model;If the error of the first clearing power and the second clearing power and the first price and the second price is greater than the pre-set deviation value, adjust the offer strategy of provincial market member, recalculate until the error is less than the pre-set deviation value, realize inter-provincial power balance, the technical scheme provided by the application can coordinate and optimize the power resources in inter-provincial provincial market, realize inter-provincial real-time balance of electricity.

Description

Technical Field

[0001] This invention relates to the field of power automation, specifically to a method and system for coordinating and optimizing inter-provincial and intra-provincial power balance. Background Technology

[0002] Currently, the construction of the electricity market is accelerating. With the increasing maturity of ultra-high-voltage transmission technology, long-distance inter-provincial power transmission has become an important way to optimize power resources across regions. The regularization and standardization of inter-provincial power trading have led to a significant increase in transaction volume. However, the inter-provincial power market still faces difficulties in its development and serious barriers to inter-provincial transactions. In the operation of the power system, there is often an uneven distribution of energy resources. Coal resources, hydropower resources, and renewable energy bases such as wind power and photovoltaic power generation are located in different geographical locations, which is too dispersed. The increasing demand from power load centers, coupled with the geographical distance from various power resources, further increases the scale and distance of energy flows, resulting in a reverse distribution of energy demand and resource supply. This places demands on the ability to optimize the allocation of power resources on a larger scale, requiring comprehensive consideration of the bidding methods of inter-provincial and intra-provincial market participants to achieve power balance between inter-provincial and intra-provincial markets. Currently, the inter-provincial and intra-provincial power markets are not yet connected and are still in the stage of tiered trading, unable to achieve flexible allocation of power resources between inter-provincial and intra-provincial markets, resulting in a state of power balance and wasting power resources. Summary of the Invention

[0003] To address the problem of wasted power resources caused by the lack of connection between inter-provincial and intra-provincial power markets in existing technologies, this invention provides a method and system for coordinating and optimizing inter-provincial and intra-provincial power balance.

[0004] The technical solution provided by this invention is: An improved method for coordinating and optimizing inter-provincial and intra-provincial power balance includes: Obtain quotations from inter-provincial trading members and quotations from generator sets and electricity buyers within the province; Based on the inter-provincial trading member quotations, the first cleared volume and first electricity price of each inter-provincial market member are calculated using a pre-established inter-provincial main optimization model; Based on the first cleared volume and the first electricity price, as well as the quotations from generator units and electricity buyers within the province, a pre-established sub-optimization model within the province is used to calculate the second cleared volume and the second electricity price for each market member within the province. If the error between the first cleared volume and the second cleared volume, as well as the first and second electricity prices, is greater than a pre-set deviation value, the bidding strategies of the market members within the province are adjusted, and the first cleared volume and the first electricity price, the second cleared volume and the second electricity price are recalculated until the error between the first cleared volume and the second cleared volume, as well as the first and second electricity prices, is less than the pre-set deviation value, thereby achieving inter-provincial and intra-provincial power balance. The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market participants include: generator sets located within the province, electricity buyers, and generator sets from other provinces that participate in provincial transactions.

[0005] Preferably, the pre-established inter-provincial master optimization model includes: The first objective function and multiple first constraints; The first constraint includes: inter-provincial power generation and purchase balance constraint and inter-provincial available transmission capacity constraint.

[0006] Preferably, the inter-provincial power generation and purchase balance constraint is as shown in the following formula:

[0007] In the formula, Line loss; The available inter-provincial transport capacity constraint is shown in the following formula:

[0008] in:

[0009] In the formula, The power generation of generator i The purchase volume of e-commerce platform J; The power flow of line l during time period t; : Distribution factor of power generator i's sensitivity to line l during time period t; The power flow sensitivity distribution factor of e-commerce platform j to line l during time period t; : Available transmission capacity of line l.

[0010] Preferably, the first objective function is as follows:

[0011] In the formula, The objective value for maximizing social benefit; Total price quoted on the electricity purchase side; Total price quoted on the power generation side; Among them, the total price quoted on the electricity purchase side Calculate using the following formula:

[0012] In the formula, d: power purchaser; D: power purchaser set; b: transaction contract number; B: transaction contract set; t: quotation period; T: period set; The price of transaction contract b for electricity purchaser d during time period t; The amount of electricity in transaction contract b for power purchaser d at time t; The total price on the power generation side Calculate using the following formula:

[0013] In the formula, :power plant; Power plant cluster; Power plant during time period t The price; Power plant during time period t The amount of electricity.

[0014] Preferably, the step of calculating the second cleared volume and second electricity price for each market participant within the province using a pre-established provincial sub-optimization model, based on the first cleared volume, the first electricity price, and the bids from generating units and electricity buyers within the province, includes: Calculate the power generation cost of external generator units located in other provinces that participate in intra-provincial transactions based on the first cleared volume and the first electricity price. Based on the aforementioned power generation costs and the quotations from generating units and electricity buyers within the province, a pre-established sub-optimization model within the province is used to calculate the second clearing volume and the second electricity price for each market member within the province.

[0015] Preferably, the pre-established provincial sub-optimization model includes: The second objective function and multiple second constraints; The second set of constraints includes: power supply and demand balance constraints in the control area, generator operation constraints, network security constraints within the control area, and spinning reserve constraints.

[0016] Preferably, the power supply and demand balance constraint of the control area is as follows:

[0017] in, The generating output of generator unit s during time period t. This represents the net load of users in time period t, h. Total network loss within the province during time period t.

[0018] The operating constraints of the generator set are shown in the following formula:

[0019] in, The upper limit of the output power of generator set s; The lower limit of the output power of generator set s; The network security constraints within the control zone are shown in the following formula:

[0020]

[0021] in, : Forward power flow limitation of UV at the cross section of the connecting line during time period t; Reverse power flow limitation of UV in the connecting line section; : The positive tidal power value of uv at the cross section of the connecting line during time period t; The reverse power flow value of uv at the cross section of the connecting line during time period t; The rotational reserve constraint is shown in the following formula:

[0022]

[0023] in, For the unit exist The upward rotation is provided for backup; For the system The need for increased rotational backup at that time; For the unit exist The downward rotation is provided as a backup; For the system The need for reduced rotational backup at that time.

[0024] Preferably, the second objective function is as follows:

[0025]

[0026] In the formula, F: cost of electricity generation; : Operating cost of unit s during period t; K; Number of periods during market trading; s: System unit; S: Number of system units.

[0027] Preferably, the strategy for adjusting the pricing of market participants within the province includes: Based on power generation costs, the first electricity price for wind turbine units located in other provinces that participate in intra-provincial transactions will be reduced.

[0028] Based on the same inventive concept, the present invention also provides an inter-provincial and intra-provincial power balance coordination and optimization system, including an acquisition module, a calculation module and an adjustment module; Acquisition module: Used to acquire electricity prices of inter-provincial and intra-provincial trading members; First calculation module: used to calculate the first cleared electricity volume and first electricity price of each market member in the inter-provincial market based on the inter-provincial trading member's quotation and using a pre-established inter-provincial main optimization model; The second calculation module is used to calculate the second cleared electricity volume and the second electricity price for each market member in the province based on the first cleared electricity volume, the first electricity price, and the quotations from generator units and electricity buyers in the province, using a pre-established sub-optimization model within the province. If the error between the first cleared electricity volume and the second cleared electricity volume, as well as the first electricity price and the second electricity price, is greater than a pre-set deviation value, the bidding strategy of the market members in the province is adjusted, and the first cleared electricity volume and the first electricity price, the second cleared electricity volume, and the second electricity price are recalculated until the error between the first cleared electricity volume and the second cleared electricity volume, as well as the first electricity price and the second electricity price, is less than the pre-set deviation value, thereby achieving inter-provincial and intra-provincial power balance. The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market participants include: generator sets and electricity buyers located within the province, and generator sets from other provinces that participate in provincial transactions.

[0029] Compared with the prior art, the beneficial effects of the present invention are as follows: The technical solution provided by this invention establishes an inter-provincial main optimization model and an intra-provincial sub-optimization model and couples the inter-provincial and intra-provincial markets, which can coordinate and optimize the power resources in the inter-provincial and intra-provincial markets and achieve real-time balance of power consumption between provinces and within provinces. The technical solution provided by this invention is easy to understand, highly feasible, and has a wide range of applications. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the inter-provincial and intra-provincial power balance coordination and optimization method of the present invention; Figure 2 This is a schematic diagram of the inter-provincial and intra-provincial power balance coordination and optimization system of the present invention; Figure 3 This is the framework of the two-layer optimized clearing model of the present invention; Figure 4 This is a flowchart of the electricity market coupled two-layer optimized clearing process of the present invention. Detailed Implementation

[0031] To better understand this invention, the following description, in conjunction with the accompanying drawings and examples, will further illustrate the invention.

[0032] Example 1: A method for coordinating and optimizing inter-provincial and intra-provincial power balance, such as Figure 1 As shown, it includes: Step 1: Obtain quotations from inter-provincial trading members and quotations from generator sets and electricity buyers within the province; Step 2: Based on the inter-provincial trading member quotations, calculate the first cleared volume and first electricity price for each inter-provincial market member using a pre-established inter-provincial master optimization model; Step 3: Based on the first cleared volume and the first electricity price, as well as the quotations from generator units and electricity buyers within the province, calculate the second cleared volume and the second electricity price for each market member within the province using a pre-established sub-optimization model within the province; if the error between the first cleared volume and the second cleared volume, as well as the first electricity price and the second electricity price, is greater than a pre-set deviation value, then adjust the bidding strategy of the market members within the province, and recalculate the first cleared volume and the first electricity price, the second cleared volume and the second electricity price, until the error between the first cleared volume and the second cleared volume, as well as the first electricity price and the second electricity price, is less than the pre-set deviation value, thus achieving inter-provincial and intra-provincial power balance; The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market participants include: generator sets located within the province, electricity buyers, and generator sets from other provinces that participate in provincial transactions.

[0033] Step 1: Obtain quotations from inter-provincial trading members and quotations from generator sets and electricity buyers within the province; Step 2: Based on the inter-provincial trading member quotations, calculate the first cleared volume and first electricity price for each inter-provincial market member using a pre-established inter-provincial master optimization model; Specifically, the pre-established inter-provincial master optimization model includes: The first objective function and multiple first constraints; The first constraint includes: inter-provincial power generation and purchase balance constraint and inter-provincial available transmission capacity constraint.

[0034] Specifically, the inter-provincial power generation and purchase balance constraint is shown in the following formula:

[0035] In the formula, Line loss; The available inter-provincial transport capacity constraint is shown in the following formula:

[0036] in:

[0037] In the formula, The power generation of generator i The purchase volume of e-commerce platform J; The power flow of line l during time period t; : Distribution factor of power generator i's sensitivity to line l during time period t; The power flow sensitivity distribution factor of e-commerce platform j to line l during time period t; : Available transmission capacity of line l.

[0038] Specifically, the first objective function is shown in the following equation:

[0039] In the formula, The objective value for maximizing social benefit; Total price quoted on the electricity purchase side; Total price quoted on the power generation side; Among them, the total price quoted on the electricity purchase side Calculate using the following formula:

[0040] In the formula, d: power purchaser; D: power purchaser set; b: transaction contract number; B: transaction contract set; t: quotation period; T: period set; The price of transaction contract b for electricity purchaser d during time period t; The amount of electricity in transaction contract b for power purchaser d at time t; The total price on the power generation side Calculate using the following formula:

[0041] In the formula, :power plant; Power plant cluster; Power plant during time period t The price; Power plant during time period t The amount of electricity.

[0042] Step 3: Based on the first cleared volume and the first electricity price, as well as the quotations from generator units and electricity buyers within the province, calculate the second cleared volume and the second electricity price for each market member within the province using a pre-established sub-optimization model within the province; if the error between the first cleared volume and the second cleared volume, as well as the first electricity price and the second electricity price, is greater than a pre-set deviation value, then adjust the bidding strategy of the market members within the province, and recalculate the first cleared volume and the first electricity price, the second cleared volume and the second electricity price, until the error between the first cleared volume and the second cleared volume, as well as the first electricity price and the second electricity price, is less than the pre-set deviation value, thus achieving inter-provincial and intra-provincial power balance; Specifically, the step of calculating the second cleared volume and second electricity price for each market participant within the province using a pre-established provincial sub-optimization model, based on the first cleared volume and first electricity price, as well as the bids from generating units and electricity buyers within the province, includes: Calculate the power generation cost of external generator units located in other provinces that participate in intra-provincial transactions based on the first cleared volume and the first electricity price. Based on the aforementioned power generation costs and the quotations from generating units and electricity buyers within the province, a pre-established sub-optimization model within the province is used to calculate the second clearing volume and the second electricity price for each market member within the province.

[0043] Specifically, the pre-established provincial sub-optimization model includes: The second objective function and multiple second constraints; The second set of constraints includes: power supply and demand balance constraints in the control area, generator operation constraints, network security constraints within the control area, and spinning reserve constraints.

[0044] Specifically, the power supply and demand balance constraint of the control area is shown in the following formula:

[0045] in, The generating output of generator unit s during time period t. User net load during time period t (h) Total network loss within the province during time period t.

[0046] The operating constraints of the generator set are shown in the following formula:

[0047] in, The upper limit of the output power of generator set s; The lower limit of the output power of generator set s; The network security constraints within the control zone are shown in the following formula:

[0048]

[0049] in, : Forward power flow limitation of UV at the cross section of the connecting line during time period t; Reverse power flow limitation of UV in the connecting line section; : The positive tidal power value of uv at the cross section of the connecting line during time period t; The reverse power flow value of uv at the cross section of the connecting line during time period t; The rotational reserve constraint is shown in the following formula:

[0050]

[0051] in, :unit exist The upward rotation is provided for backup; :system The need for increased rotational backup at that time; :unit exist The downward rotation is provided as a backup; :system The need for reduced rotational backup at that time.

[0052] Specifically, the second objective function is shown in the following equation:

[0053]

[0054] In the formula, F: cost of electricity generation; : Operating cost of unit s during period t; K; Number of periods during market trading; s: System unit; S: Number of system units.

[0055] Specifically, the adjusted pricing strategy for market participants within the province includes: Based on power generation costs, the first electricity price for wind turbine units located in other provinces that participate in intra-provincial transactions will be reduced.

[0056] Example 2: An inter-provincial and intra-provincial power balance coordination and optimization system, such as Figure 2 As shown, it includes an acquisition module, a calculation module, and an adjustment module; Acquisition module: Used to acquire electricity prices of inter-provincial and intra-provincial trading members; First calculation module: used to calculate the first cleared electricity volume and first electricity price of each market member in the inter-provincial market based on the inter-provincial trading member's quotation and using a pre-established inter-provincial main optimization model; The second calculation module is used to calculate the second cleared electricity volume and the second electricity price for each market member in the province based on the first cleared electricity volume, the first electricity price, and the quotations from generator units and electricity buyers in the province, using a pre-established sub-optimization model within the province. If the error between the first cleared electricity volume and the second cleared electricity volume, as well as the first electricity price and the second electricity price, is greater than a pre-set deviation value, the bidding strategy of the market members in the province is adjusted, and the first cleared electricity volume and the first electricity price, the second cleared electricity volume, and the second electricity price are recalculated until the error between the first cleared electricity volume and the second cleared electricity volume, as well as the first electricity price and the second electricity price, is less than the pre-set deviation value, thereby achieving inter-provincial and intra-provincial power balance. The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market participants include: generator sets and electricity buyers located within the province, and generator sets from other provinces that participate in provincial transactions.

[0057] In the first calculation module, the pre-established inter-provincial master optimization model includes: The first objective function and multiple first constraints; The first constraint includes: inter-provincial power generation and purchase balance constraint and inter-provincial available transmission capacity constraint.

[0058] Specifically, the inter-provincial power generation and purchase balance constraint is shown in the following formula:

[0059] In the formula, Line loss; The available inter-provincial transport capacity constraint is shown in the following formula:

[0060] in:

[0061] In the formula, The power generation of generator i The purchase volume of e-commerce platform J; The power flow of line l during time period t; : Distribution factor of power generator i's sensitivity to line l during time period t; The power flow sensitivity distribution factor of e-commerce platform j to line l during time period t; : Available transmission capacity of line l.

[0062] Specifically, the first objective function is shown in the following equation:

[0063] In the formula, The objective value for maximizing social benefit; Total price quoted on the electricity purchase side; Total price quoted on the power generation side; Among them, the total price quoted on the electricity purchase side Calculate using the following formula:

[0064] In the formula, d: power purchaser; D: power purchaser set; b: transaction contract number; B: transaction contract set; t: quotation period; T: period set; The price of transaction contract b for electricity purchaser d during time period t; The amount of electricity in transaction contract b for power purchaser d at time t; The total price on the power generation side Calculate using the following formula:

[0065] In the formula, :power plant; Power plant cluster; Power plant during time period t The price; Power plant during time period t The amount of electricity.

[0066] In the second calculation module, the step of calculating the second cleared volume and second electricity price for each market participant within the province based on the first cleared volume, the first electricity price, and the bids from generating units and electricity buyers within the province, using a pre-established sub-optimization model within the province, includes: Calculate the power generation cost of external generator units located in other provinces that participate in intra-provincial transactions based on the first cleared volume and the first electricity price. Based on the aforementioned power generation costs and the quotations from generating units and electricity buyers within the province, a pre-established sub-optimization model within the province is used to calculate the second clearing volume and the second electricity price for each market member within the province.

[0067] Specifically, the pre-established provincial sub-optimization model includes: The second objective function and multiple second constraints; The second set of constraints includes: power supply and demand balance constraints in the control area, generator operation constraints, network security constraints within the control area, and spinning reserve constraints.

[0068] Specifically, the power supply and demand balance constraint of the control area is shown in the following formula:

[0069] in, The generating output of generator unit s during time period t. This represents the net load of users in time period t, h. Total network loss within the province during time period t.

[0070] The operating constraints of the generator set are shown in the following formula:

[0071] in, The upper limit of the output power of generator set s; The lower limit of the output power of generator set s; The network security constraints within the control zone are shown in the following formula:

[0072]

[0073] in, : Forward power flow limitation of UV at the cross section of the connecting line during time period t; Reverse power flow limitation of UV in the connecting line section; : The positive tidal power value of uv at the cross section of the connecting line during time period t; The reverse power flow value of uv at the cross section of the connecting line during time period t; The rotational reserve constraint is shown in the following formula:

[0074]

[0075] in, For the unit exist The upward rotation is provided for backup; For the system The need for increased rotational backup at that time; For the unit exist The downward rotation is provided as a backup; For the system The need for reduced rotational backup at that time.

[0076] Specifically, the second objective function is shown in the following equation:

[0077]

[0078] In the formula, F: cost of electricity generation; : Operating cost of unit s during period t; K; Number of periods during market trading; s: System unit; S: Number of system units.

[0079] Specifically, the adjusted pricing strategy for market participants within the province includes: Based on power generation costs, the first electricity price for wind turbine units located in other provinces that participate in intra-provincial transactions will be reduced.

[0080] Example 3 The technical solution provided by this invention achieves coordinated coupling between inter-provincial and intra-provincial transactions by incorporating the cleared electricity volume and price results of inter-provincial transactions into an intra-provincial optimized clearing model. This two-level optimization problem can also be referred to as a two-stage coordinated coupling model. The framework of the two-level optimized clearing model is as follows: Figure 3 As shown. The first-level optimization model is the inter-provincial main optimization model, and the second-level optimization model is the intra-provincial sub-optimization model. Its input data is divided into three categories: bidding data, topology data, and network data. Bidding data mainly includes different categories of bidding information; topology data mainly refers to the node information of the physical power grid and the upper and lower limits of bids for each price zone, i.e., the physical network model corresponding to each market participant; network data mainly includes various constraints of the physical power grid, such as unit operation constraints, tie-line transmission capacity constraints, and power purchase and sale balance constraints. Output data: the clearing price and clearing volume of each market participant.

[0081] The coupled two-layer optimized clearing process is shown in the attached figure. Figure 4 As shown, the specific steps are as follows: Step 1: Obtain quotations from inter-provincial trading members and quotations from generator sets and electricity buyers within the province.

[0082] Step 2: Based on the inter-provincial trading member quotations, calculate the first cleared electricity volume and first electricity price for each inter-provincial market member using the pre-established inter-provincial main optimization model.

[0083] The two-level optimization model is transformed into a first-level master-slave optimization model. In the inter-provincial transactions at the upper level, the simplified equivalent model of the lower provincial level is incorporated, including equivalent power generation nodes and equivalent load nodes. The power generation and consumption balance of the entire network and the transmission capacity of inter-provincial interconnection lines are considered, but intra-provincial network security constraints are not considered. Inter-provincial optimization is performed by taking the first cleared electricity volume and the first electricity price of the participating inter-provincial market members calculated by the inter-provincial optimization, i.e., the cleared electricity volume and electricity price of inter-provincial generating units and electricity buyers, as input conditions for the lower-level calculation and entering the lower-level optimization model. At this time, the generating units located in other provinces participating in inter-provincial transactions are transformed into intra-provincial market members and serve as the boundary of the subproblem of intra-provincial optimization transactions. This boundary refers to the cleared electricity volume and electricity price of the generating units and electricity buyers participating in the inter-provincial market calculated by the inter-provincial optimization. These are then taken as input conditions for the lower-level calculation and entering the lower-level optimization model. At this time, the generating units located in other provinces participating in inter-provincial transactions are transformed into intra-provincial market members and participate in intra-provincial market clearing together with intra-provincial generating units and electricity buyers. Step 3: Based on the first cleared volume and the first electricity price, as well as the quotations from generator units and electricity buyers within the province, calculate the second cleared volume and the second electricity price for each market member within the province using a pre-established sub-optimization model within the province; if the error between the first cleared volume and the second cleared volume, as well as the first electricity price and the second electricity price, is greater than a pre-set deviation value, then adjust the bidding strategy of the market members within the province, and recalculate the first cleared volume and the first electricity price, the second cleared volume and the second electricity price, until the error between the first cleared volume and the second cleared volume, as well as the first electricity price and the second electricity price, is less than the pre-set deviation value, thus achieving inter-provincial and intra-provincial power balance; The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market participants include: generator sets and electricity buyers located within the province, and generator sets from other provinces that participate in provincial transactions.

[0084] Intra-provincial transactions are based on a detailed optimized clearing model to perform sub-optimization calculations, obtaining the second cleared volume and price for intra-provincial market members, namely, generator units and electricity buyers located within the province, and the cleared volume and price for generator units located in other provinces participating in intra-provincial transactions. When the cleared volume and price of generator units located in other provinces obtained from the sub-optimization clearing calculation are greater than the cleared volume and price obtained from the inter-provincial optimization calculation, it is determined whether the intra-provincial external volume and price are consistent with the inter-provincial market calculation results.

[0085] Based on the generation cost, the electricity price of external generator units located in other provinces participating in intra-provincial transactions is reduced, and the inter-provincial transaction optimization calculation is re-performed until the cleared electricity volume and price of external generator units located in other provinces are less than the cleared electricity volume and price of the inter-provincial optimization calculation results, thus obtaining the optimal clearing price and electricity volume for inter-provincial and intra-provincial market members.

[0086] The standard for dividing regions in this invention is as follows: the country is set as the first level, and the levels are set sequentially according to the power grid distribution of the country. This embodiment uses China as an example, designating China as the first level; China is further divided into five major regions, forming the second level; these second-level regions include: North China, Central China, East China, Northwest China, and Northeast China, each corresponding to multiple provinces. Taking the East China region as an example, the third level includes Jiangsu, Anhui, Zhejiang, Fujian, and Shanghai. Although this embodiment uses China as an example, the invention is not limited to China; the provinces mentioned correspond to the third level in the power grid.

[0087] The above facts demonstrate that the technical solution provided by this invention can formulate a deterministic unified plan for inter-provincial and intra-provincial transactions. For the same trading cycle, inter-provincial and intra-provincial market transactions are organized on a unified platform, and the inter-provincial transaction results are incorporated into the intra-provincial power generation and consumption balance as input conditions. For example, in the day-ahead market, inter-provincial clearing and intra-provincial clearing are synchronized, avoiding the iterative process of timing and transaction results, effectively improving the efficiency of the two-tier market organization. From the perspective of continuous operation, the simultaneous organization of inter-provincial and intra-provincial transactions can optimize power generation and consumption resources across the entire scope, tap the grid transmission capacity, and achieve real-time power consumption balance between inter-provincial and intra-provincial transactions.

[0088] Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0089] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0090] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0091] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0092] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0093] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for coordinating and optimizing inter-provincial and intra-provincial power balance, characterized in that, include: Obtain quotations from inter-provincial trading members and quotations from generator sets and electricity buyers within the province; Based on the inter-provincial trading member quotations, the first cleared volume and first electricity price of each inter-provincial market member are calculated using a pre-established inter-provincial main optimization model; Based on the first cleared volume and the first electricity price, as well as the quotations from generator units and electricity buyers within the province, the second cleared volume and the second electricity price for each market member within the province are calculated using a pre-established sub-optimization model within the province. If the error between the first cleared volume and the second cleared volume, as well as the first and second electricity prices, is greater than a pre-set deviation value, the bidding strategies of the market members within the province are adjusted, and the first cleared volume and the first electricity price, the second cleared volume and the second electricity price are recalculated until the error between the first cleared volume and the second cleared volume, as well as the first and second electricity prices, is less than the pre-set deviation value, thereby achieving inter-provincial and intra-provincial power balance. The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market members include: generator sets and electricity buyers located within the province, and generator sets from other provinces that participate in provincial transactions. The pre-established inter-provincial master optimization model includes: The first objective function and multiple first constraints; The first constraint includes: inter-provincial power generation and purchase balance constraint and inter-provincial available transmission capacity constraint; The first objective function is shown in the following equation: In the formula, The objective value for maximizing social benefit; Total price quoted on the electricity purchase side; Total price quoted on the power generation side; Among them, the total price quoted on the electricity purchase side Calculate using the following formula: In the formula, d: power purchaser; D: power purchaser set; b: transaction contract number; B: transaction contract set; t: quotation period; T: period set; The price of transaction contract b for electricity purchaser d during time period t; The electricity volume of contract b for electricity purchaser d during time period t; The total price on the power generation side Calculate using the following formula: In the formula, :power plant; Power plant cluster; Power plant during time period t The price; Power plant during time period t The amount of electricity; The calculation of the second cleared volume and second electricity price for each market participant within the province, based on the first cleared volume and first electricity price, as well as the bids from generating units and electricity buyers within the province, using a pre-established provincial sub-optimization model, includes: Calculate the power generation cost of external generator units located in other provinces that participate in intra-provincial transactions based on the first cleared volume and the first electricity price. Based on the aforementioned power generation costs and the quotations from generating units and electricity buyers within the province, a pre-established sub-optimization model within the province is used to calculate the second clearing volume and the second electricity price for each market member within the province. The pre-established provincial sub-optimization model includes: The second objective function and multiple second constraints; The second set of constraints includes: power supply and demand balance constraints in the control area, generator operation constraints, network security constraints within the control area, and spinning reserve constraints; The second objective function is shown in the following equation: In the formula, F: cost of electricity generation; : Operating cost of unit s during period t; K: Number of periods during market trading; s: System unit; S: Number of system units.

2. The inter-provincial and intra-provincial power balance coordination and optimization method as described in claim 1, characterized in that, The inter-provincial power generation and purchase balance constraint is shown in the following formula: In the formula, Line loss during time period t; The available inter-provincial transport capacity constraint is shown in the following formula: in: In the formula, The amount of electricity generated by power generator i during time period t. The purchase volume of e-commerce platform J during the T-hour period; The power flow of line l during time period t; : Distribution factor of power generator i's sensitivity to line l during time period t; The power flow sensitivity distribution factor of e-commerce platform j to line l during time period t; : The available transmission capacity of line l during time period t.

3. The inter-provincial and intra-provincial power balance coordination and optimization method as described in claim 1, characterized in that, The power supply and demand balance constraint in the control area is shown in the following formula: in, The generating output of generator unit s during time period t. This represents the net load of users in time period t, h. Total network loss within the provincial system during time period t; The operating constraints of the generator set are shown in the following formula: in, The lower limit of the output power of generator set S; The upper limit of the output power of generator set s; The network security constraints within the control zone are shown in the following formula: in, : Forward power flow limitation of UV at the cross section of the connecting line during time period t; Reverse power flow limitation of UV in the connecting line section; : The positive tidal power value of uv at the cross section of the connecting line during time period t; The reverse power flow value of uv at the cross section of the connecting line during time period t; The rotational spare constraint is shown in the following formula: in, For unit s in The upward rotation is provided for backup; For the system The need for increased rotational backup at that time; For unit s in The downward rotation is provided as a backup; For the system The need for reduced rotational backup at that time.

4. The inter-provincial and intra-provincial power balance coordination and optimization method as described in claim 1, characterized in that, The proposed strategy for adjusting the pricing of market participants within the province includes: Based on power generation costs, the first electricity price for wind turbine units located in other provinces that participate in intra-provincial transactions will be reduced.

5. A system for implementing the inter-provincial and intra-provincial power balance coordination and optimization method as described in any one of claims 1-4, characterized in that, It includes an acquisition module, a calculation module, and an adjustment module; Acquisition module: Used to acquire electricity prices of inter-provincial and intra-provincial trading members; First calculation module: used to calculate the first cleared electricity volume and first electricity price of each market member in the inter-provincial market based on the inter-provincial trading member's quotation and using a pre-established inter-provincial main optimization model; The second calculation module is used to calculate the second cleared electricity volume and the second electricity price for each market member in the province based on the first cleared electricity volume, the first electricity price, and the quotations from generator units and electricity buyers in the province, using a pre-established sub-optimization model within the province. If the error between the first cleared electricity volume and the second cleared electricity volume, as well as the first electricity price and the second electricity price, is greater than a pre-set deviation value, the bidding strategy of the market members in the province is adjusted, and the first cleared electricity volume and the first electricity price, the second cleared electricity volume, and the second electricity price are recalculated until the error between the first cleared electricity volume and the second cleared electricity volume, as well as the first electricity price and the second electricity price, is less than the pre-set deviation value, thereby achieving inter-provincial and intra-provincial power balance. The inter-provincial market members include: generating units and electricity buyers participating in inter-provincial transactions; The provincial market participants include: generator sets and electricity buyers located within the province, and generator sets from other provinces that participate in provincial transactions.

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