Applicable to regional-level source-grid-load-storage day-ahead coordination control methods

Abstract

This invention discloses a day-ahead coordinated control method applicable to regional power generation, grid, load, and storage. The steps include: acquiring relevant information; obtaining an optimization model: the optimization model aims to reduce the peak-valley difference in regional power grid load, considering relevant constraints, reserving adjustment reserves for adjustable resources proportionally, and considering the adjustment costs of adjustable resources by setting weight coefficients to reduce the adjustment amount of adjustable resources; acquiring relevant information and solving the optimization model on day (D-1), generating operational curves for each adjustable resource at a 15-minute granularity on day D, or generating an aggregated operational curve for regional resources at a 15-minute granularity on day D. Under the condition of satisfying various constraints, this invention fully utilizes various adjustable resources to perform peak shaving and valley filling, reducing the peak-valley difference in regional power grid; simultaneously, it considers the coordinated control of various adjustable resources with conventional generating units, reducing unnecessary adjustment actions of conventional generating units, improving system reserve capacity and the economic efficiency of regional power grid operation.

Description

Technical Field

[0001] This invention relates to the field of power system automation, and particularly to the research on source-grid-load-storage coordinated control technology, especially a day-ahead coordinated control method applicable to regional source-grid-load-storage systems. Background Technology

[0002] In recent years, with the rapid development of various new energy and electric vehicle industries, especially the integration of large-scale distributed power sources and new energy supply and consumption equipment such as electric vehicles, the load characteristics of regional power grids have undergone tremendous changes. The peak-valley difference of regional power grids has continued to increase, and problems such as the difficulty of peak regulation caused by power flow fluctuations have become prominent.

[0003] Currently, power grid dispatching primarily adopts the traditional "source follows load" dispatching model, which only dispatches centralized generation and the power grid, excluding load and energy storage. This makes it difficult to alleviate the contradiction between load characteristics and peak-shaving demand. In the context of energy internet construction, it is necessary to utilize energy storage, electric vehicles, and flexible loads (building air conditioning, electric heating, etc.) for unified and optimized control.

[0004] Against this backdrop, it is necessary to explore a feasible approach to optimize the load structure and power flow distribution of the power grid by flexibly scheduling the peripheral networks of the grid. Based on the availability of adjustable resources, taking into account regulation costs, and considering regional power grid security constraints, the output curves of adjustable resources should be optimized to improve the power flow of the regional power grid and achieve economical operation of the regional power grid.

[0005] For the main grid, provincial dispatch centers utilize generation planning programs to compile planned curves for regulating conventional generating units. Regional day-ahead coordination strategies aim to reduce peak-valley differences in the grid by optimizing the generation and consumption curves of adjustable resources, based on the availability of adjustable resources and with the goal of achieving customer satisfaction and economic optimization within grid security constraints. However, due to insufficient regulation resources and methods, regional grids still lack real-time coordinated control of generation, grid, load, and storage. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a day-ahead coordinated control method for regional power generation, grid, load and storage. This method makes full use of various adjustable resources to perform peak shaving and valley filling, which can reduce the peak-valley difference of the regional power grid. At the same time, it considers the coordinated control of various adjustable resources and conventional units, which can reduce unnecessary adjustment actions of conventional units, thereby improving the system's reserve capacity and the economic efficiency of regional power grid operation.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0008] In a first aspect, the present invention provides a day-ahead coordination and control method applicable to regional-level power generation, grid, load, and storage, which is applicable to non-market scenarios and includes the following steps:

[0009] Obtain relevant information; the relevant information includes load forecasts within the regional power grid system, load forecasts for each substation bus, forecasts for new energy power generation, basic operating curves for each adjustable resource application, and the adjustable capacity of each adjustable resource;

[0010] An optimization model is obtained; the optimization model aims to reduce the peak-valley difference of the regional power grid load, and uses adjustable resource operation constraints, power grid security constraints, practical constraints, and operational constraints as constraints, and reserves adjustable resources for adjustment in proportion; at the same time, the adjustment cost of adjustable resources is considered, and weighting coefficients are set to reduce the adjustment amount of adjustable resources;

[0011] On day (D-1), the relevant information is obtained and the optimization model is solved based on the relevant information to optimize and generate the operation curves of each adjustable resource at a 15-minute granularity on day D, or to optimize and generate the regional resource aggregation operation curve at a 15-minute granularity on day D.

[0012] Furthermore, the method also includes the following steps: after the regional resource aggregation operation curve with a granularity of 15 minutes on day D is verified for safety, it is reported to the provincial dispatch center. After adjustment by the provincial dispatch center, the regional dispatch center receives the adjusted regional resource aggregation operation curve issued by the provincial dispatch center. With the goal of minimizing adjustment costs, and considering the constraints (the constraints are adjustable resource operation constraints, power grid safety constraints, practical constraints, and operational constraints), the adjusted regional resource aggregation operation curve is decomposed into each adjustable resource.

[0013] Furthermore, the optimization model adopts a piecewise optimization method. The optimization objective during peak hours is to maximize net power supply, the optimization objective during off-peak hours is to minimize the total deviation between the optimized power and the power reported by the resource side, and the optimization objective during low-peak hours is to maximize net power consumption. In the optimization model, the symbol for power consumption is "+", and the symbol for power generation is "-".

[0014] The optimization model is as follows:

[0015]

[0016] In the formula: minF is the target value of peak-valley difference of the regional power grid throughout the day; N is the total number of regional adjustable resources; p(i,t) is the optimized operating power of regional adjustable resource i in time period t, p bid (i, t) represents the declared operating power of regional adjustable resource i during time period t.

[0017] Furthermore, the adjustable resource operation constraints include adjustable resource operation range constraints, adjustable resource load adjustment rate constraints, energy storage charging and discharging capacity constraints, and adjustable resource adjustment reserve constraints, as detailed below:

[0018] The operational range constraints for the adjustable resources are as follows:

[0019] p i,min u(i,t)≤p(i,t)≤p i,max u(i,t)

[0020] In the formula: p i,min p i,max Let i and t represent the minimum and maximum active power of adjustable resource i, respectively; u(i, t) is the operating state of adjustable resource i in time period t, where 1 indicates operation and 0 indicates shutdown.

[0021] The adjustable resource load adjustment rate constraint is:

[0022] -Δ i ≤p i (t)-p i (t-1)≤Δ i

[0023] In the formula: -Δ i Δ represents the minimum load that can be added or removed from adjustable resource i per time period; i p represents the maximum load that adjustable resource i can increase or decrease per time period; i (t) represents the active power of adjustable resource i at time t; p i (t-1) represents the active power of adjustable resource i at time t-1;

[0024] The energy storage charging and discharging capacity constraint is:

[0025]

[0026] In the formula: i represents the i-th energy storage unit in the adjustable resources; n represents the number of continuous charging and discharging periods; E represents the upper limit of a single continuous charging and discharging operation.

[0027] The adjustable resource reserve constraint is as follows:

[0028]

[0029] r i ′ (t)≥ r i g

[0030] In the formula: The up-allocation reserve provided for adjustable resource i at time t; r i ′ (t) represents the downsizing reserve provided by adjustable resource i at time t; The upper limit of the available spare capacity that adjustable resource i can provide; r i g The lower limit of the available backup that can be provided for adjustable resource i.

[0031] Furthermore, the adjustable resources are grouped according to their distribution characteristics and power grid structure. Each group of adjustable resources is defined as a resource cluster, and constraint management is carried out on a resource cluster basis to ensure the safety of power flow in related branches and sections.

[0032] The power grid security constraints include resource cluster power constraints and cluster regulation reserve constraints, as detailed below:

[0033] The power constraint of the resource cluster is:

[0034]

[0035] In the formula: I represents a resource cluster; H(t) , These represent the lower and upper limits of the total output of adjustable resources within the cluster, respectively.

[0036] The cluster adjustment reserve constraint is:

[0037]

[0038]

[0039] In the formula: I represents a resource cluster; r g (t) This indicates whether the cluster is increasing or decreasing its standby constraints.

[0040] The cluster adjustment backup constraint will be used to reserve adjustment margin in advance for certain heavily loaded sections involved in the real-time coordination strategy when considering enabling the safety correction mode.

[0041] Furthermore, the practical constraints include fixed power constraints for individual adjustable resources and overall fixed power constraints for regional source-grid-load-storage systems, as detailed below:

[0042] The fixed power constraint of the single adjustable resource: The adjustable resource operates according to a given power generation and consumption curve during a specific period of time. During this specific period of time, the adjustable resource does not participate in the optimization calculation. Therefore, the fixed power constraint of the single adjustable resource is set based on the requirements of the power grid and the operation of the adjustable resource.

[0043] The fixed power constraint of the single adjustable resource is:

[0044] p(i,t)=P(i,t)

[0045] In the formula: P(i,t) represents the output setting value of adjustable resource i in time period t;

[0046] The overall fixed power constraint of the regional source-grid-load-storage system: The regional source-grid-load-storage system operates according to a given operating curve within a specific time period. This applies to situations where the provincial dispatching authority issues regional resource aggregation operating curves. The overall fixed power constraint of the regional source-grid-load-storage system is usually relaxed in the first round of planning and is only activated after the provincial dispatching authority adjusts the plan. If the provincial dispatching authority modifies the regional dispatching curve, when the regional dispatching authority reallocates the operating curves of each adjustable resource, it must consider that the total amount cannot exceed the planned value fed back by the provincial dispatching authority. Therefore, the overall fixed power constraint of the regional source-grid-load-storage system is set based on the requirements of the power grid and the operation of adjustable resources.

[0047] The overall fixed power constraint of the region's power generation, grid, load, and storage system is:

[0048]

[0049] In the formula: P t (i, t) represents the setpoint value of the total output of the source, grid, load and storage in time period t.

[0050] Furthermore, the operational constraints include electricity consumption constraints, specifically as follows:

[0051] The power constraint is:

[0052]

[0053] In the formula: E(T) , These represent the lower and upper limits of the total power consumption of adjustable resource i during scheduling period T, respectively.

[0054] Secondly, this invention provides another method for day-ahead coordination and control of power generation, grid, load, and storage at the regional level. This method is applicable to market scenarios and includes the following steps:

[0055] If regional resources are available to participate in the provincial ancillary services market, the market entity is the source-grid-load-storage aggregation of the region. Based on the next-day reporting of the operation status and available potential of each aggregated resource, a safety verification is performed through the day-ahead coordination strategy. If the verification result is qualified, the application is submitted directly through the provincial dispatch market technical support system. If the verification result is unqualified, the application is adjusted by the regional dispatch center according to market rules and safety constraints, and then submitted through the provincial dispatch market technical support system.

[0056] If the cleared power curve issued after the market clearing changes from the reported curve, the cleared power curve will be imported into the power generation planning module. Then, in accordance with market rules and considering safety constraints, the regional dispatch center will conduct a secondary allocation to complete the adjustment of the day-ahead operating curves of each adjustable resource.

[0057] Compared with the prior art, the beneficial effects of the present invention are:

[0058] 1. The method provided by this invention makes full use of various adjustable resources for peak shaving and valley filling, which can reduce the peak-valley difference of the regional power grid;

[0059] 2. The method provided by this invention takes into account the coordinated control of various adjustable resources and conventional units, which can reduce unnecessary adjustment actions of conventional units, thereby improving the system's reserve capacity and the economic efficiency of regional power grid operation;

[0060] 3. The method provided by this invention can be applied to two scenarios: participating in the ancillary service market (market scenario) or not participating in the market (non-market scenario), and considers two modes: provincial and local coordinated control and local control, which can meet the relevant needs of different scenarios;

[0061] 4. The method provided by this invention is based on the existing equipment of the regional-level dispatch master station and does not require additional software or hardware;

[0062] 5. The method provided by this invention has profound significance for promoting social and economic development and improving production levels. Attached Figure Description

[0063] To make the advantages of the invention more readily apparent, the invention briefly described above will be described in more detail with reference to the specific embodiments shown in the accompanying drawings. It will be understood that these drawings depict only typical embodiments of the invention and should not be construed as limiting its scope of protection. The invention is described and explained with reference to the drawings to provide additional features and details.

[0064] Figure 1 This is a data flow diagram of the day-ahead coordination strategy under the provincial-local coordination model in this invention. Detailed Implementation

[0065] In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without one or more of these details. In other instances, certain technical features well-known in the art have not been described in order to avoid confusion with embodiments of the invention.

[0066] To fully understand the embodiments of the present invention, detailed structures will be presented in the following description. Obviously, the implementation of the embodiments of the present invention is not limited to the specific details familiar to those skilled in the art. Preferred embodiments of the present invention are described in detail below; however, in addition to these detailed descriptions, the present invention may have other embodiments.

[0067] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings:

[0068] like Figure 1As shown, embodiments of the present invention provide a day-ahead coordinated control method applicable to regional-level power generation, grid, load, and storage. This method is designed with two operating modes: a local control mode and a provincial-level coordinated mode. The provincial dispatching power generation planning program aggregates regional adjustable resources and sets up equivalent virtual generators (capable of both generating and supplying electricity, with adjustable capacity varying over time) according to pumped storage power plant or gas-fired power plant models. In the provincial-level coordinated mode, the local dispatching center first determines the operating mode of adjustable resources such as energy storage and adjustable loads and reports it to the provincial dispatching center. After conducting an overall assessment of the entire grid, the provincial dispatching center decides whether to adjust the operating curves of adjustable resources and arranges the operating modes of conventional units based on the final operating curves of the adjustable resources.

[0069] Example 1

[0070] Under local control mode, this embodiment provides a day-ahead coordination control method applicable to regional-level power generation, grid, load, and storage, suitable for non-market scenarios, and specifically includes the following steps:

[0071] S1. Obtain relevant information; the relevant information includes load forecasts within the regional power grid system, load forecasts for each substation bus, power forecasts for new energy generation, basic operating curves for each adjustable resource application, and the adjustable capacity of each adjustable resource.

[0072] S2. Obtain the optimization model; the optimization model aims to reduce the peak-valley difference of the regional power grid load, and uses adjustable resource operation constraints, power grid security constraints, practical constraints, and operational constraints as constraints, and reserves adjustable resources for adjustment in proportion; at the same time, it considers the adjustment cost of adjustable resources, sets weight coefficients, and minimizes the adjustment amount of adjustable resources as much as possible.

[0073] In this embodiment, the optimization model aims to minimize the peak-valley difference in the regional power grid, and predefines peak-valley-flat attributes for 96 points. The optimization model adopts a piecewise optimization method. During peak hours, the optimization objective is to maximize net power supply; during off-peak hours, the optimization objective is to minimize the total deviation between the optimized power supply and the power reported by the resource side; and during off-peak hours, the optimization objective is to maximize net power consumption. In the optimization model, power consumption is represented by "+", and power generation by "-".

[0074] The optimized model is:

[0075]

[0076] In the formula: minF is the target value of peak-valley difference of the regional power grid throughout the day; N is the total number of regional adjustable resources; p(i,t) is the optimized operating power of regional adjustable resource i in time period t, p bid (i, t) represents the declared operating power of regional adjustable resource i during time period t.

[0077] In this embodiment, in order to meet the optimization objective of minimizing the peak-valley difference of the regional power grid, the peak-valley difference should be adjusted by considering the source, load, and storage characteristics of the region while satisfying conventional constraints. The following constraints should be considered during operation: adjustable resource operation constraints, power grid security constraints, practicality constraints, and operational constraints.

[0078] In this embodiment, the adjustable resource operation constraints include adjustable resource operation range constraints, adjustable resource load adjustment rate constraints, energy storage charging and discharging capacity constraints, and adjustable resource adjustment reserve constraints, as detailed below:

[0079] The adjustable resource operating range constraints are:

[0080] p i,min u(i,t)≤p(i,t)≤p i,max u(i,t)

[0081] In the formula: p i,min p i,max Let i and t represent the minimum and maximum active power of adjustable resource i, respectively; u(i, t) is the operating state of adjustable resource i in time period t, where 1 indicates operation and 0 indicates shutdown.

[0082] The adjustable resource load adjustment rate constraint is:

[0083] -Δ i ≤p i (t)-p i (t-1)≤Δ i

[0084] In the formula: -Δ i Δ represents the minimum load that can be added or removed from adjustable resource i per time period; i p represents the maximum load that adjustable resource i can increase or decrease per time period; i (t) represents the active power of adjustable resource i at time t; p i (t-1) represents the active power of adjustable resource i at time t-1.

[0085] The energy storage charge / discharge capacity constraint is:

[0086]

[0087] In the formula: i represents the i-th energy storage unit in the adjustable resources; n represents the number of continuous charging and discharging periods; E represents the upper limit of a single continuous charging and discharging.

[0088] Adjustable resource reserve constraints are:

[0089]

[0090] r i ′ (t)≥ r i g

[0091] In the formula: The up-allocation reserve provided for adjustable resource i at time t; r i ′ (t) represents the downsizing reserve provided by adjustable resource i at time t; The upper limit of the available spare capacity that adjustable resource i can provide; r i g The lower limit of the available backup that can be provided for adjustable resource i.

[0092] In this embodiment, adjustable resources are grouped according to their distribution characteristics and grid structure. Each group of adjustable resources is defined as a resource cluster, and constraint management is carried out on a resource cluster basis to ensure the safety of power flow in related branches and sections. Considering that regional power grids are often dominated by radial grid structures, several resource clusters are established around a 110kV or 35kV main transformer. The adjustable resources distributed under the main transformer have high coupling. By controlling the power of the resource cluster, the constraints of the local grid are met, and grid safety issues such as thermal instability of lines or transformers are avoided.

[0093] Power grid security constraints include resource cluster power constraints and cluster regulation reserve constraints, as detailed below:

[0094] The power constraints for the resource cluster are:

[0095]

[0096] In the formula: I represents a resource cluster; H(t) , These represent the lower and upper limits of the total output of adjustable resources within the cluster, respectively.

[0097] Cluster adjustment standby constraints are:

[0098]

[0099]

[0100] In the formula: I represents a resource cluster; r g (t) This indicates whether the cluster is increasing or decreasing its standby constraints.

[0101] The cluster adjustment backup constraint will be used for certain heavily loaded sections involved in the real-time coordination strategy, and is a pre-reserved adjustment margin when considering enabling the safety correction mode.

[0102] In this embodiment, the practical constraints are constraints that can be configured based on the characteristics of the power grid operation during actual power grid dispatching. These constraints are set based on the requirements of the power grid and regulation resources operation.

[0103] Practical constraints include fixed power constraints for individual adjustable resources and overall fixed power constraints for regional source-grid-load-storage systems, as detailed below:

[0104] Fixed power constraint for a single adjustable resource: The adjustable resource operates according to a given power generation and consumption curve during a specific period. During this specific period, the adjustable resource does not participate in the optimization calculation. Therefore, a fixed power constraint for a single adjustable resource is set based on the requirements of the power grid and the operation of the adjustable resource.

[0105] The fixed power constraint for a single adjustable resource is:

[0106] p(i,t)=P(i,t)

[0107] In the formula: P(i,t) represents the output setting value of adjustable resource i in time period t.

[0108] Regional source-grid-load-storage overall fixed power constraint: The regional source-grid-load-storage as a whole operates according to a given operating curve within a specific time period. This applies to situations where the provincial dispatch center issues a regional resource aggregation operating curve. The regional source-grid-load-storage overall fixed power constraint is usually relaxed in the first round of planning and is only activated after the provincial dispatch center adjusts the plan based on feedback. If the provincial dispatch center modifies the regional dispatch curve, when the regional dispatch center reallocates the operating curves of each adjustable resource, it must consider that the total amount cannot exceed the planned value fed back by the provincial dispatch center. Therefore, the regional source-grid-load-storage overall fixed power constraint is set based on the requirements of the power grid and the operation of adjustable resources.

[0109] The overall fixed power constraint of the regional power generation, grid, load, and storage system is:

[0110]

[0111] In the formula: P t (i, t) represents the setpoint value of the total output of the source, grid, load and storage in time period t.

[0112] In this embodiment, operational constraints are constraints that need to be considered under specific scheduling modes or under specific natural and social conditions. These conditions depend on the actual situation in different contexts. Taking electricity constraints as an example, this is to account for situations where certain adjustable resources may have medium- to long-term trading contracts.

[0113] The power constraint is:

[0114]

[0115] In the formula: E(T) , These represent the lower and upper limits of the total power consumption of adjustable resource i during scheduling period T, respectively.

[0116] S3. On day (D-1), obtain relevant information and, based on the relevant information, solve the optimization model to generate the operation curves of each adjustable resource at a 15-minute granularity on day D.

[0117] S4. Results Release: After obtaining the operating curves of each adjustable resource at the 15-minute granularity of Day D (the operating curves of each adjustable resource at the 96 points of the previous day) according to the above method, the results are released to the regional dispatch AGC module and distributed to each adjustable resource; at the same time, the regional dispatch outputs the sum of the 96 points total curves to the E file and reports it to the provincial dispatch through the message email system.

[0118] Example 2

[0119] Under the provincial-level coordination model, this embodiment provides another day-ahead coordination control method applicable to regional-level source-grid-load-storage, suitable for non-market scenarios. The first two steps in the method provided in this embodiment are consistent with steps S1 and S2 in Embodiment 1, and will not be repeated here. The following mainly describes in detail the steps that differ between this embodiment and Embodiment 1.

[0120] This embodiment provides another day-ahead coordination and control method applicable to regional-level source-grid-load-storage systems, which further includes the following steps:

[0121] S3. On day (D-1), obtain relevant information and, based on the relevant information, solve the optimization model to generate the regional resource aggregation operation curve with a 15-minute granularity on day D.

[0122] S4. The regional resource aggregation operation curve at the 15-minute granularity of day D is reported to the provincial dispatch center after safety verification. After adjustment by the provincial dispatch center, the regional dispatch center receives the adjusted regional resource aggregation operation curve issued by the provincial dispatch center. With the goal of minimizing adjustment costs, and considering constraints (constraints include adjustable resource operation constraints, power grid safety constraints, practicality constraints, and operational constraints), the adjusted regional resource aggregation operation curve is decomposed to each adjustable resource.

[0123] Example 3

[0124] This embodiment provides another method for day-ahead coordination and control of power generation, grid, load, and storage at the regional level. This method is applicable to market scenarios and includes the following steps:

[0125] If regional resources are to participate in the provincial ancillary services market, the market participants are the source-grid-load-storage aggregates of that region. Based on the operational status and adjustable potential of each aggregated resource as reported the following day, a safety verification is performed through the day-ahead coordination strategy. If the verification result is satisfactory, the application is submitted directly through the provincial dispatch market technical support system. If the verification result is unsatisfactory, the application is adjusted by the regional dispatch center according to market rules and safety constraints, and then submitted through the provincial dispatch market technical support system.

[0126] If the cleared power curve issued after the market clearing changes from the reported curve, the cleared power curve will be imported into the power generation planning module. Then, in accordance with market rules and considering safety constraints, the regional dispatch center will conduct a secondary allocation to complete the adjustment of the day-ahead operating curves of each adjustable resource.

[0127] The revenue generated by the source-grid-load-storage consortium in participating in the peak-shaving market is ultimately distributed to the operators of each adjustable resource according to the corresponding rules.

[0128] The method for day-ahead coordinated control of power generation, grid, load, and storage disclosed in this invention, while meeting various constraints, fully utilizes various adjustable resources such as centralized new energy power plants, centralized energy storage power plants, virtual power plants, distributed energy sources, distributed energy storage, charging piles, and flexible loads to perform peak shaving and valley filling, reducing the peak-valley difference in the regional power grid. Simultaneously, it considers the coordinated control of various adjustable resources with conventional generating units, reducing unnecessary adjustments to conventional units and improving system reserve capacity and the economic efficiency of regional power grid operation. The method disclosed in this invention has profound significance for promoting socio-economic development and improving production levels.

[0129] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0130] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It 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 illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0131] 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.

[0132] 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.

[0133] In summary, the content of this invention is not limited to the above-described embodiments. Those skilled in the art can propose other embodiments within the technical guiding principles of this invention, but these embodiments are all included within the scope of this invention.

Claims

1. A day-ahead coordination control method applicable to regional-level power generation, grid, load, and storage systems, characterized in that, This method is applicable to non-market scenarios and includes the following steps: Obtain relevant information; the relevant information includes load forecasts within the regional power grid system, load forecasts for each substation bus, forecasts for new energy power generation, basic operating curves for each adjustable resource application, and the adjustable capacity of each adjustable resource; An optimization model is obtained; the optimization model aims to reduce the peak-valley difference of the regional power grid load, and uses adjustable resource operation constraints, power grid security constraints, practical constraints, and operational constraints as constraints, and reserves adjustable resources for adjustment in proportion; at the same time, the adjustment cost of adjustable resources is considered, and weighting coefficients are set to reduce the adjustment amount of adjustable resources; On day (D-1), the relevant information is obtained and the optimization model is solved based on the relevant information to optimize and generate the operation curves of each adjustable resource at the 15-minute granularity on day D, or to optimize and generate the regional resource aggregation operation curve at the 15-minute granularity on day D. Based on the operating curves of each adjustable resource at the 15-minute granularity of day D, the results are published to the regional dispatch AGC module and distributed to each adjustable resource; at the same time, the regional dispatch outputs the total curve of 96 points to the E file and reports it to the provincial dispatch via the message email system. The optimization model adopts a piecewise optimization method. The optimization objective during peak hours is to maximize net power supply, the optimization objective during off-peak hours is to minimize the total deviation between the optimized power and the power reported by the resource side, and the optimization objective during low-peak hours is to maximize net power consumption. In the optimization model, the symbol for power consumption is "+", and the symbol for power generation is "-". The optimization model is as follows: In the formula: minF is the target value of peak-valley difference of the regional power grid throughout the day; N is the total number of regional adjustable resources; p(i,t) is the optimized operating power of regional adjustable resource i in time period t, p bid (i, t) represents the declared operating power of regional adjustable resource i during time period t; The adjustable resource operation constraints include adjustable resource operation range constraints, adjustable resource load adjustment rate constraints, energy storage charging and discharging capacity constraints, and adjustable resource adjustment reserve constraints, as detailed below: The operating range constraint of the adjustable resources is: p i,min u(i,t)≤p(i,t)≤p i,max u(i,t) In the formula: p i,min p i,max Let i and t represent the minimum and maximum active power of adjustable resource i, respectively; u(i, t) is the operating state of adjustable resource i in time period t, where 1 indicates operation and 0 indicates shutdown. The adjustable resource load adjustment rate constraint is: -Δ i ≤p i (t)-p i (t-1)≤Δ i In the formula: -Δ i Δ represents the minimum load that can be added or removed from adjustable resource i per time period; i p represents the maximum load that adjustable resource i can increase or decrease per time period; i (t) represents the active power of adjustable resource i at time t; p i (t-1) represents the active power of adjustable resource i at time t-1; The energy storage charging and discharging capacity constraint is: In the formula: i represents the i-th energy storage unit in the adjustable resources; n represents the number of continuous charging and discharging periods; E represents the upper limit of a single continuous charging and discharging operation. The adjustable resource reserve constraint is as follows: r i ′(t)≥ r i g In the formula: The up-allocation reserve provided for adjustable resource i at time t; r i ′(t) represents the downsizing reserve provided by adjustable resource i at time t; The upper limit of the available spare capacity that adjustable resource i can provide; r i g The lower limit of the available backup for adjustable resource i; Based on the distribution characteristics of adjustable resources and the power grid structure, the adjustable resources are grouped, and each group of adjustable resources is defined as a resource cluster. Constraint management is carried out on a resource cluster basis to ensure the safety of power flow in related branches and sections. The power grid security constraints include resource cluster power constraints and cluster regulation reserve constraints, as detailed below: The power constraint of the resource cluster is: In the formula: I represents the resource cluster; H(t), These represent the lower and upper limits of the total output of adjustable resources within the cluster, respectively. The cluster adjustment reserve constraint is: In the formula: I represents a resource cluster; r g (t) This indicates whether the cluster is increasing or decreasing its standby constraints. The cluster adjustment backup constraint will be used to reserve adjustment margin in advance for certain heavily loaded sections involved in the real-time coordination strategy when considering the activation of the safety correction mode. The operational constraints include electricity consumption constraints, as detailed below: The power constraint is: In the formula: E(T) , These represent the lower and upper limits of the total power consumption of adjustable resource i during scheduling period T, respectively.

2. The method according to claim 1, characterized in that, The method further includes the following steps: after the regional resource aggregation operation curve with a granularity of 15 minutes on day D is verified for safety, it is reported to the provincial dispatch center. After adjustment by the provincial dispatch center, the regional dispatch center receives the adjusted regional resource aggregation operation curve issued by the provincial dispatch center. With the goal of minimizing adjustment costs, and considering the constraints, the adjusted regional resource aggregation operation curve is decomposed into each adjustable resource.

3. The method according to claim 1, characterized in that, The practical constraints include fixed power constraints for individual adjustable resources and overall fixed power constraints for regional source-grid-load-storage systems, as detailed below: The fixed power constraint of the single adjustable resource: The adjustable resource operates according to a given power generation and consumption curve during a specific period of time. During this specific period of time, the adjustable resource does not participate in the optimization calculation. Therefore, the fixed power constraint of the single adjustable resource is set based on the requirements of the power grid and the operation of the adjustable resource. The fixed power constraint of the single adjustable resource is: p(i,t)=P(i,t) In the formula: P(i,t) represents the output setting value of adjustable resource i in time period t; The overall fixed power constraint of the regional source-grid-load-storage system: The regional source-grid-load-storage system operates according to a given operating curve within a specific time period. This applies to situations where the provincial dispatching authority issues regional resource aggregation operating curves. The overall fixed power constraint of the regional source-grid-load-storage system is usually relaxed in the first round of planning and is only activated after the provincial dispatching authority adjusts the plan. If the provincial dispatching authority modifies the regional dispatching curve, when the regional dispatching authority reallocates the operating curves of each adjustable resource, it must consider that the total amount cannot exceed the planned value fed back by the provincial dispatching authority. Therefore, the overall fixed power constraint of the regional source-grid-load-storage system is set based on the requirements of the power grid and the operation of adjustable resources. The overall fixed power constraint of the region's power generation, grid, load, and storage system is: In the formula: P t (i, t) represents the setpoint value of the total output of the source, grid, load and storage in time period t.

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