Novel source-grid-load-storage integrated collaborative optimization method and system under power system

Abstract

The invention relates to the technical field of power system optimization, and discloses a novel source-grid-load-storage integrated collaborative optimization method and system under a power system, and the method comprises the steps: extracting a power grid power supply layout parameter and a power grid operation parameter in the power grid parameter information of a target region; the power grid operation parameter prediction model is used for predicting power grid operation prediction parameters of a target scheduling period, then a scheduling priority list is constructed according to power grid power supply layout parameters, and the power grid operation prediction parameters of the target scheduling period are obtained by obtaining geographic position parameters and emergency power supply deployment information of each scheduling sub-region in the scheduling priority list. According to the access positions of the emergency power supplies and the deployment conditions of the fixed emergency power supplies and the mobile emergency power supplies in different dispatching sub-regions, a plurality of different influence factors are considered to carry out long-term and overall optimal dispatching, an emergency power supply dispatching strategy is generated, dispatching of the mobile emergency power supplies of the power system is executed, and the emergency power supply dispatching effect is improved. And the conditions of unbalanced regional load of the power system and poor experience of power users are relieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system optimization, and in particular to a novel source-grid-load-storage integrated collaborative optimization method and system for a power system. Background Art

[0002] The power system source-grid-load-storage synergy technology refers to the deep integration and coordinated interaction of various links of the power system by optimizing the resource allocation and operation control of power sources, power grids, loads and energy storage, so as to improve the safety, reliability, flexibility and economy of the power system. Specifically, in the power system source-grid-load-storage synergy technology, "source" refers to the power source, including traditional thermal power, hydropower, nuclear power and new energy power generation such as wind power and photovoltaic power. "Grid" refers to the power grid, which is responsible for the transmission and distribution of electricity. "Load" refers to the power load, including the electricity demand of various users such as industry, commerce and residents. "Storage" refers to energy storage, including battery energy storage, pumped storage, compressed air energy storage and other forms. The integrated synergy of source-grid-load-storage aims to break down the barriers between various links, realize the efficient interaction of energy flow and information flow, and enable the power system to better adapt to the large-scale access of new energy and the dynamic changes of load.

[0003] In practical applications, the deployment and application of emergency power supply in power systems can improve the ability of urban power grids to respond to emergencies and meet the power supply needs of various emergencies. It is an indispensable part of the integrated coordination of source, grid, load and storage in power systems. In the current deployment of emergency power supply in urban power grids, due to the different electricity demand of different users at different times, the different power supply capacity of different power grid lines and the different deployment of emergency power supply in different regions, when the urban power grid deploys and dispatches emergency power supply, it can only conduct short-term and individual optimal dispatch through manual experience dispatch, and it is impossible to consider multiple different influencing factors for long-term and overall optimal dispatch, which makes the dispatch of emergency power supply in power systems have problems such as unsatisfactory dispatch effect, unbalanced regional load of power systems and poor user experience.

[0004] Therefore, how to improve the emergency power dispatch effect of the power system under the urban power grid, ensure the regional load balance of the power system, improve the power transmission quality of the power grid and ensure the user experience of electricity users is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a novel source-grid-load-storage integrated collaborative optimization method and system for a power system, aiming to solve at least one of the above-mentioned technical problems.

[0006] The present invention provides a novel source-grid-load-storage integrated collaborative optimization method for a power system, comprising:

[0007] Acquire power grid parameter information of the target area, and extract power grid power supply layout parameters of the target area and power grid operation parameters of the reference period from the power grid parameter information;

[0008] Based on the grid operation parameters of the reference period, using a grid operation parameter prediction model, predicting the grid operation prediction parameters of the target area in the target scheduling period, and constructing a scheduling priority list including several scheduling sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters;

[0009] Acquire geographic location parameters and emergency power supply deployment information of each scheduling sub-area; wherein the emergency power supply deployment information includes first deployment information of fixed emergency power supplies in each scheduling sub-area and second deployment information of mobile emergency power supplies in each scheduling sub-area;

[0010] An emergency power supply dispatching strategy is generated based on the geographic location parameters, the first deployment information and the second deployment information, and the emergency power supply dispatching strategy is converted into a dispatching instruction and sent to the emergency power supply dispatching execution terminal, so that the dispatching personnel can perform the dispatching action according to the dispatching instruction received by the emergency power supply dispatching execution terminal.

[0011] Optionally, the step of acquiring grid parameter information of the target area and extracting grid power supply layout parameters of the target area and grid operation parameters of the reference period from the grid parameter information specifically includes:

[0012] Upon receiving the coordinated scheduling request, extracting a target scheduling period and a scheduling area identifier of the target area in the coordinated scheduling request;

[0013] The dispatch area identifier is used to access the power grid database to match the power grid parameter information of the target area stored in the power grid database; wherein the power grid parameter information includes the power grid power supply layout parameters of each power user and the power grid operation parameters of the reference time period.

[0014] Optionally, based on the grid operation parameters of the reference period, using a grid operation parameter prediction model, the step of predicting the grid operation prediction parameters of the target area in the target scheduling period specifically includes:

[0015] Extracting the power consumption characteristics of each power user from the grid operation parameters of the reference period; wherein the reference period is configured as a first target number of scheduling periods before the target scheduling period;

[0016] The power consumption characteristics of each power user in the reference period are input into a pre-built and trained power grid operation parameter prediction model to obtain the power consumption prediction value of each power user in the target area in the target scheduling period.

[0017] Optionally, before the step of predicting the grid operation parameters of the target area in the target scheduling period by using a grid operation parameter prediction model based on the grid operation parameters of the reference period, the step further includes:

[0018] Acquire historical power grid operation parameters of the target area, extract power grid operation data of the training period from the historical power grid operation parameters, and establish power consumption prediction samples for each power user;

[0019] Wherein, each power consumption prediction sample includes the power consumption parameters of the power user in each scheduling period and the power consumption characteristics of the first target number of scheduling periods before the scheduling period;

[0020] The power consumption prediction sample of each power user is input into the recurrent neural network model pre-built for the power user for training, and a power grid operation parameter prediction model for each power user in the target area after the training is obtained.

[0021] Optionally, the step of constructing a dispatch priority list including a plurality of dispatch sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters specifically includes:

[0022] Extracting the grid topology line position of each power user and the line standard power value of each grid topology line from the grid power supply layout parameters of the reference time period;

[0023] According to the grid topology line position of each electricity user and the predicted power consumption value in the target scheduling period, the actual line power value of each grid topology line in the target area is calculated;

[0024] Determining the line power load of each power grid topology line based on the line standard power value and the line actual power value;

[0025] According to the order of line power load from large to small, a dispatch priority list of dispatch sub-areas corresponding to several power grid topology lines is constructed.

[0026] Optionally, the step of obtaining geographic location parameters and emergency power supply deployment information of each dispatching sub-area includes:

[0027] Obtaining geographic location parameters of each scheduling sub-area, and extracting substation location information of the power grid topology line from the geographic location parameters;

[0028] Based on the substation location information, calling an electronic map of a target area and extracting road route information in the electronic map;

[0029] Access the emergency power supply deployment information database to extract the first deployment information of the fixed emergency power supply and the second deployment information of the mobile emergency power supply in each scheduling sub-area;

[0030] The first deployment information includes a first deployment position and a first power supply value of each fixed emergency power supply, and the second deployment information includes a second deployment position, a second power supply value and a moving speed of each mobile emergency power supply in the current deployment.

[0031] Optionally, the step of generating an emergency power supply dispatch strategy according to the geographic location parameter, the first deployment information, and the second deployment information specifically includes:

[0032] Calculate the line power demand value of each scheduling sub-area in the scheduling priority list based on the line power load of each scheduling sub-area in the scheduling priority list and the first power supply value of the fixed emergency power supply at the first deployment position in the scheduling sub-area;

[0033] According to the line power demand value of each scheduling sub-area, the second deployment position of the mobile emergency power supply deployment in each scheduling sub-area, the substation location information and the road route information, an emergency power supply scheduling strategy for the target area in the target scheduling cycle and the second target number of scheduling cycles thereafter is generated.

[0034] Optionally, according to the line power demand value of each scheduling sub-area, the second deployment position of the mobile emergency power supply deployment in each scheduling sub-area, the substation location information and the road route information, the emergency power supply scheduling strategy step of the target area in the target scheduling period and the second target number of scheduling periods thereafter is generated, specifically including:

[0035] Using the power consumption characteristics of each power user in the power grid operation parameters of the reference period and the power consumption forecast value of the target scheduling period, based on the power grid operation parameter prediction model, obtain the power consumption forecast value of the second target number of scheduling periods after the target scheduling period of each power user;

[0036] The first constraint condition is that the second power supply value of each scheduling sub-area after connecting to the mobile emergency power supply is greater than the line power demand value, the second constraint condition is that the moving time of each emergency power supply in each scheduling cycle within the target scheduling cycle and the second target number of scheduling cycles thereafter is less than the preset time value, and the goal is to minimize the overall moving distance of all emergency power supplies within the target scheduling cycle and the second target number of scheduling cycles thereafter, solve the mobile emergency power supply allocation plan for each scheduling cycle of the target area within the target scheduling cycle and the second target number of scheduling cycles thereafter;

[0037] The dispatching action of the mobile emergency power supply between each adjacent dispatching period is output as the emergency power supply dispatching strategy of the target area in the target dispatching period and a second target number of dispatching periods thereafter.

[0038] Optionally, the emergency power dispatch strategy is converted into a dispatch instruction and sent to the emergency power dispatch execution terminal, so that the dispatch personnel execute the dispatch action steps according to the dispatch instruction received by the emergency power dispatch execution terminal, specifically including:

[0039] Convert the dispatching action of each dispatching cycle in the emergency power dispatching strategy of the target area in the target dispatching cycle and the second target number of dispatching cycles thereafter into a dispatching instruction, and send the dispatching instruction to the emergency power dispatching execution terminal when executing the dispatching task of the dispatching cycle;

[0040] The dispatching personnel execute the dispatching actions of the current dispatching cycle according to the dispatching instructions of the current dispatching cycle received by the emergency power dispatching execution terminal.

[0041] The present invention also provides a novel power system source-grid-load-storage integrated collaborative optimization system, comprising:

[0042] An extraction module is used to obtain the power grid parameter information of the target area, and extract the power grid power supply layout parameters of the target area and the power grid operation parameters of the reference period from the power grid parameter information;

[0043] A construction module is used to predict the grid operation prediction parameters of the target area in the target scheduling period based on the grid operation parameters of the reference period and using the grid operation parameter prediction model, and to construct a scheduling priority list including several scheduling sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters;

[0044] An acquisition module is used to acquire geographic location parameters and emergency power deployment information of each scheduling sub-area; wherein the emergency power deployment information includes first deployment information of fixed emergency power in each scheduling sub-area and second deployment information of mobile emergency power in each scheduling sub-area;

[0045] The execution module is used to generate an emergency power supply dispatching strategy based on the geographic location parameters, the first deployment information and the second deployment information, and convert the emergency power supply dispatching strategy into a dispatching instruction and send it to the emergency power supply dispatching execution terminal, so that the dispatching personnel can execute the dispatching action according to the dispatching instruction received by the emergency power supply dispatching execution terminal.

[0046] The beneficial effects of the present invention are as follows: a novel source-grid-load-storage integrated collaborative optimization method and system for a power system are proposed, by extracting the power supply layout parameters and power supply operation parameters in the power grid parameter information of the target area, based on the power grid operation parameters, a power grid operation parameter prediction model is used to predict the power grid operation prediction parameters of the target scheduling period, and then a scheduling priority list is constructed according to the power grid operation prediction parameters and the power supply layout parameters. After that, by obtaining the geographical location parameters and emergency power supply deployment information of each scheduling sub-area in the scheduling priority list, considering the emergency power supply access location and the deployment of fixed emergency power supplies and mobile emergency power supplies in different scheduling sub-areas, considering multiple different influencing factors for long-term, overall optimal scheduling, generating a scheduling strategy for executing the emergency power supply in the power system to execute the scheduling of the mobile emergency power supply in the target area, improving the scheduling effect of the emergency power supply scheduling of the power system, alleviating the regional load imbalance of the power system, and solving the problems of poor user experience of electricity users. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of a source-grid-load-storage integrated collaborative optimization method for a novel power system in an embodiment of the present invention;

[0048] Figure 2 It is a structural schematic diagram of a source-grid-load-storage integrated collaborative optimization system for a new power system in an embodiment of the present invention.

[0049] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings.

[0050] Reference numerals:

[0051] 10-extraction module; 20-construction module; 30-acquisition module; 40-execution module. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Embodiment 1:

[0054] like Figure 1 As shown, a novel source-grid-load-storage integrated collaborative optimization method for power system includes:

[0055] S1: Acquire grid parameter information of a target area, and extract grid power supply layout parameters of the target area and grid operation parameters of a reference period from the grid parameter information;

[0056] S2: Based on the grid operation parameters of the reference period, using the grid operation parameter prediction model, predict the grid operation prediction parameters of the target area in the target scheduling period, and construct a scheduling priority list including several scheduling sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters;

[0057] S3: Acquire geographic location parameters and emergency power deployment information of each scheduling sub-area; wherein the emergency power deployment information includes first deployment information of fixed emergency power in each scheduling sub-area and second deployment information of mobile emergency power in each scheduling sub-area;

[0058] S4: Generate an emergency power supply dispatching strategy based on the geographic location parameters, the first deployment information and the second deployment information, convert the emergency power supply dispatching strategy into a dispatching instruction and send it to the emergency power supply dispatching execution terminal, so that the dispatching personnel can perform the dispatching action according to the dispatching instruction received by the emergency power supply dispatching execution terminal.

[0059] It should be noted that in practical applications, the deployment and application of emergency power supply in the power system can improve the ability of urban power grids to respond to emergencies and meet the power supply needs of various emergencies. It is an indispensable part of the integrated coordination of source, grid, load and storage in the power system. In the current deployment of emergency power supply in urban power grids, due to the different electricity demand of different users at different times, the different power supply capacity of different power grid lines and the different deployment of emergency power supply in different regions, when the urban power grid deploys and dispatches emergency power supply, it can only conduct short-term and individual optimal dispatch through manual experience dispatch, and it is impossible to consider multiple different influencing factors for long-term and overall optimal dispatch, which makes the dispatch of emergency power supply in the power system have problems such as unsatisfactory dispatch effect, unbalanced regional load of the power system and poor user experience.

[0060] In order to solve the above problems, this embodiment extracts the power supply layout parameters and power supply operation parameters from the power supply parameter information of the target area, and based on the power supply operation parameters, uses the power supply operation parameter prediction model to predict the power supply operation prediction parameters of the target scheduling period, and then constructs a scheduling priority list according to the power supply operation prediction parameters and the power supply layout parameters. After that, by obtaining the geographical location parameters and emergency power supply deployment information of each scheduling sub-area in the scheduling priority list, considering the emergency power supply access location and the deployment of fixed emergency power supplies and mobile emergency power supplies in different scheduling sub-areas, considering multiple different influencing factors for long-term, overall optimal scheduling, and generating a scheduling strategy for executing the emergency power supply in the power system to execute the scheduling of the mobile emergency power supply in the target area, thereby improving the scheduling effect of the emergency power supply scheduling of the power system, alleviating the regional load imbalance of the power system, and solving the problems of poor user experience of electricity users.

[0061] In a preferred embodiment, the step of acquiring the grid parameter information of the target area and extracting the grid power supply layout parameters of the target area and the grid operation parameters of the reference period from the grid parameter information specifically includes:

[0062] S11: upon receiving a coordinated scheduling request, extracting a target scheduling period and a scheduling area identifier of a target area in the coordinated scheduling request;

[0063] S12: using the dispatch area identifier, accessing the electric power grid database, and matching the grid parameter information of the target area stored in the electric power grid database; wherein the grid parameter information includes the grid power supply layout parameters of each electricity user and the grid operation parameters of the reference period.

[0064] On this basis, based on the grid operation parameters of the reference period, using the grid operation parameter prediction model, the grid operation prediction parameter steps of the target area in the target scheduling period are predicted, specifically including:

[0065] S23: extracting the power consumption characteristics of each power user from the grid operation parameters of the reference period; wherein the reference period is configured as a first target number of scheduling periods before the target scheduling period;

[0066] S24: Inputting the power consumption characteristics of each power user in the reference period into a pre-built and trained power grid operation parameter prediction model to obtain the power consumption prediction value of each power user in the target area in the target scheduling period.

[0067] On this basis, based on the grid operation parameters of the reference period, using the grid operation parameter prediction model, before the grid operation prediction parameter step of the target area in the target scheduling period, it also includes:

[0068] S21: Acquire historical grid operation parameters of the target area, extract grid operation data of the training period from the historical grid operation parameters, and establish a power consumption prediction sample for each power user;

[0069] Wherein, each power consumption prediction sample includes the power consumption parameters of the power user in each scheduling period and the power consumption characteristics of the first target number of scheduling periods before the scheduling period;

[0070] S22: Inputting the power consumption prediction sample of each power user into the recurrent neural network model pre-built for the power user for training, and obtaining a trained power grid operation parameter prediction model for each power user in the target area.

[0071] In this embodiment, when a collaborative scheduling request is received, the target scheduling cycle and scheduling area identifier are extracted, and then the scheduling area identifier is used to match the grid parameter information of the target area in the power grid database. The grid parameter information is input into a pre-built and trained grid operation parameter prediction model to predict the power consumption forecast value of each electricity user in the target area during the target scheduling cycle. The power consumption forecast value is used to determine the power load of each scheduling sub-area, providing data support for constructing a scheduling priority list.

[0072] In a preferred embodiment, the step of constructing a dispatch priority list including a plurality of dispatch sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters specifically includes:

[0073] S25: extracting the grid topology line position of each power user and the line standard power value of each grid topology line from the grid power supply layout parameters of the reference time period;

[0074] S26: Calculate the actual power value of each grid topology line in the target area according to the grid topology line position of each electricity user and the power consumption prediction value in the target scheduling period;

[0075] S27: Determine the line power load of each power grid topology line based on the line standard power value and the line actual power value;

[0076] S28: Sort the lines in descending order of power load, and construct a dispatch priority list of dispatch sub-areas corresponding to a number of power grid topology lines.

[0077] Furthermore, the steps of obtaining the geographical location parameters and emergency power supply deployment information of each dispatching sub-area include:

[0078] S31: Acquire geographic location parameters of each scheduling sub-area, and extract substation location information of the power grid topology line from the geographic location parameters;

[0079] S32: Based on the substation location information, call an electronic map of the target area and extract road route information in the electronic map;

[0080] S33: Accessing the emergency power supply deployment information database, extracting the first deployment information of the fixed emergency power supply and the second deployment information of the mobile emergency power supply in each scheduling sub-area;

[0081] The first deployment information includes a first deployment position and a first power supply value of each fixed emergency power supply, and the second deployment information includes a second deployment position, a second power supply value and a moving speed of each mobile emergency power supply in the current deployment.

[0082] In this embodiment, after obtaining the predicted power consumption value of each power user in the target scheduling period, the predicted power consumption value is used to calculate the actual power value of each power grid topology line, and then the line power load of each power grid topology line is determined based on the difference between the line standard power value and the line actual power value of each power grid topology line. After that, by obtaining the geographical location parameters and emergency power supply deployment information of each scheduling sub-area, the substation location information of the power grid topology line, the road route information in the target area, and the first deployment information of the fixed emergency power supply and the second deployment information of the mobile emergency power supply are extracted to provide data support for the subsequent solution of the optimal strategy for emergency power supply scheduling.

[0083] In a preferred embodiment, the step of generating an emergency power supply dispatch strategy according to the geographic location parameter, the first deployment information and the second deployment information specifically includes:

[0084] S41: Calculate the line power demand value of each scheduling sub-area in the scheduling priority list based on the line power load of each scheduling sub-area in the scheduling priority list and the first power supply value of the fixed emergency power supply at the first deployment position in the scheduling sub-area;

[0085] S42: Generate an emergency power supply scheduling strategy for the target area during the target scheduling cycle and a second target number of scheduling cycles thereafter based on the line power demand value of each scheduling sub-area, the second deployment location of the mobile emergency power supply deployment in each scheduling sub-area, the substation location information and the road route information.

[0086] Furthermore, according to the line power demand value of each scheduling sub-area, the second deployment position of the mobile emergency power supply deployment in each scheduling sub-area, the substation location information and the road route information, the emergency power supply scheduling strategy steps for the target area in the target scheduling period and the second target number of scheduling periods thereafter are generated, specifically including:

[0087] S421: using the power consumption characteristics of each power user in the power grid operation parameters of the reference period and the power consumption prediction value of the target scheduling period, based on the power grid operation parameter prediction model, obtaining the power consumption prediction value of the second target number of scheduling periods after the target scheduling period of each power user;

[0088] S422: The second power supply value of each scheduling sub-area after connecting to the mobile emergency power supply is greater than the line power demand value as the first constraint condition, the moving time of each emergency power supply in each scheduling period within the target scheduling period and the second target number of scheduling periods thereafter is less than the preset time value as the second constraint condition, and the overall moving distance of all emergency power supplies in the target scheduling period and the second target number of scheduling periods thereafter is the shortest as the goal, and the mobile emergency power supply allocation plan for each scheduling period within the target scheduling period and the second target number of scheduling periods thereafter is solved;

[0089] S423: Outputting the scheduling action of the mobile emergency power supply between each adjacent scheduling period as the emergency power supply scheduling strategy for the target area in the target scheduling period and a second target number of scheduling periods thereafter.

[0090] On this basis, the emergency power dispatch strategy is converted into a dispatch instruction and sent to the emergency power dispatch execution terminal, so that the dispatch personnel can perform the dispatch action steps according to the dispatch instruction received by the emergency power dispatch execution terminal, including:

[0091] S43: converting the scheduling action of each scheduling cycle in the emergency power scheduling strategy of the target area in the target scheduling cycle and the second target number of scheduling cycles thereafter into a scheduling instruction, and sending the scheduling instruction to the emergency power scheduling execution terminal when executing the scheduling task of the scheduling cycle;

[0092] S44: The dispatching personnel executes the dispatching actions of the current dispatching cycle according to the dispatching instructions of the current dispatching cycle received by the emergency power dispatching execution terminal.

[0093] In this embodiment, by extracting the power supply layout parameters and power supply operation parameters from the power supply parameter information of the target area, based on the power supply operation parameters, a power supply operation parameter prediction model is used to predict the power supply operation prediction parameters of the target scheduling period, and then a scheduling priority list is constructed according to the power supply operation prediction parameters and the power supply layout parameters. After that, by obtaining the geographical location parameters and emergency power supply deployment information of each scheduling sub-area in the scheduling priority list, considering the emergency power supply access location and the deployment of fixed emergency power supplies and mobile emergency power supplies in different scheduling sub-areas, a long-term and overall optimal scheduling is performed considering multiple different influencing factors, so as to optimize the scheduling of each scheduling sub-area after the mobile emergency power supply is dispatched. The first constraint condition is that the second power supply value of the area after connecting to the mobile emergency power supply is greater than the line power demand value. The second constraint condition is that the moving time of each emergency power supply in each scheduling cycle during the execution of the target scheduling cycle and the second target number of scheduling cycles thereafter is less than the preset time value. With the goal of minimizing the overall moving distance of all emergency power supplies during the execution of the target scheduling cycle and the second target number of scheduling cycles thereafter, a scheduling strategy for executing emergency power supplies in the power system is generated to execute the scheduling of mobile emergency power supplies in the target area, thereby improving the scheduling effect of emergency power supply scheduling in the power system, alleviating regional load imbalance in the power system, and solving problems such as poor user experience.

[0094] The present invention also provides a novel source-grid-load-storage integrated collaborative optimization system for power systems, the system comprising:

[0095] Embodiment 2:

[0096] Reference Figure 2 , Figure 2 A schematic structural diagram of a novel power system source-grid-load-storage integrated collaborative optimization system provided in an embodiment of the present invention.

[0097] like Figure 2 As shown, a novel power system source-grid-load-storage integrated collaborative optimization system is used for the novel power system source-grid-load-storage integrated collaborative optimization method as described above, comprising:

[0098] An extraction module 10 is used to obtain the power grid parameter information of the target area, and extract the power grid power supply layout parameters of the target area and the power grid operation parameters of the reference period from the power grid parameter information;

[0099] A construction module 20 is used to predict the grid operation prediction parameters of the target area in the target scheduling period based on the grid operation parameters of the reference period and using the grid operation parameter prediction model, and to construct a scheduling priority list including a plurality of scheduling sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters;

[0100] The acquisition module 30 is used to acquire the geographic location parameters and emergency power deployment information of each scheduling sub-area; wherein the emergency power deployment information includes the first deployment information of the fixed emergency power supply in each scheduling sub-area and the second deployment information of the mobile emergency power supply in each scheduling sub-area;

[0101] The execution module 40 is used to generate an emergency power supply dispatching strategy based on the geographic location parameters, the first deployment information and the second deployment information, and convert the emergency power supply dispatching strategy into a dispatching instruction and send it to the emergency power supply dispatching execution terminal, so that the dispatching personnel can execute the dispatching action according to the dispatching instruction received by the emergency power supply dispatching execution terminal.

[0102] The specific implementation method of the source-grid-load-storage integrated collaborative optimization system for the new power system of the present application is basically the same as the implementation method of the source-grid-load-storage integrated collaborative optimization method for the new power system mentioned above, and will not be repeated here.

[0103] In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top", "bottom", "inside", "outside", "inner side", "outer side" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Among them, "inside" refers to an internal or enclosed area or space. "Periphery" refers to the area surrounding a specific component or a specific area.

[0104] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0105] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "assemble" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0106] In the description of the embodiments of the present invention, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0107] In the description of the embodiments of the present invention, it is to be understood that "-" and "~" represent a range between two values, and the range includes the endpoints. For example: "AB" represents a range greater than or equal to A and less than or equal to B. "A~B" represents a range greater than or equal to A and less than or equal to B.

[0108] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0109] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A novel source-grid-load-storage integrated collaborative optimization method for power system, characterized in that: The method comprises the following steps: Acquire power grid parameter information of the target area, and extract power grid power supply layout parameters of the target area and power grid operation parameters of the reference period from the power grid parameter information; Based on the grid operation parameters of the reference period, using a grid operation parameter prediction model, predicting the grid operation prediction parameters of the target area in the target scheduling period, and constructing a scheduling priority list including several scheduling sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters; Acquire geographic location parameters and emergency power supply deployment information of each scheduling sub-area; wherein the emergency power supply deployment information includes first deployment information of fixed emergency power supplies in each scheduling sub-area and second deployment information of mobile emergency power supplies in each scheduling sub-area; An emergency power supply dispatching strategy is generated based on the geographic location parameters, the first deployment information and the second deployment information, and the emergency power supply dispatching strategy is converted into a dispatching instruction and sent to the emergency power supply dispatching execution terminal, so that the dispatching personnel can perform the dispatching action according to the dispatching instruction received by the emergency power supply dispatching execution terminal.

2. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 1 is characterized in that: The step of obtaining the grid parameter information of the target area and extracting the grid power supply layout parameters of the target area and the grid operation parameters of the reference period from the grid parameter information specifically includes: Upon receiving the coordinated scheduling request, extracting a target scheduling period and a scheduling area identifier of the target area in the coordinated scheduling request; The dispatch area identifier is used to access the power grid database to match the power grid parameter information of the target area stored in the power grid database; wherein the power grid parameter information includes the power grid power supply layout parameters of each power user and the power grid operation parameters of the reference time period.

3. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 2 is characterized in that: Based on the grid operation parameters of the reference period, using the grid operation parameter prediction model, the step of predicting the grid operation prediction parameters of the target area in the target scheduling period specifically includes: Extracting the power consumption characteristics of each power user from the grid operation parameters of the reference period; wherein the reference period is configured as a first target number of scheduling periods before the target scheduling period; The power consumption characteristics of each power user in the reference period are input into a pre-built and trained power grid operation parameter prediction model to obtain the power consumption prediction value of each power user in the target area in the target scheduling period.

4. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 3 is characterized in that: Based on the grid operation parameters of the reference period, using a grid operation parameter prediction model, before the step of predicting grid operation parameters of the target area in the target scheduling period, the method further includes: Acquire historical power grid operation parameters of the target area, extract power grid operation data of the training period from the historical power grid operation parameters, and establish power consumption prediction samples for each power user; Wherein, each power consumption prediction sample includes the power consumption parameters of the power user in each scheduling period and the power consumption characteristics of the first target number of scheduling periods before the scheduling period; The power consumption prediction sample of each power user is input into the recurrent neural network model pre-built for the power user for training, and a power grid operation parameter prediction model for each power user in the target area after the training is obtained.

5. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 1 is characterized in that: According to the power grid operation prediction parameters and the power grid power supply layout parameters, a dispatch priority list comprising a plurality of dispatch sub-areas is constructed, specifically comprising: Extracting the grid topology line position of each power user and the line standard power value of each grid topology line from the grid power supply layout parameters of the reference time period; According to the grid topology line position of each electricity user and the predicted power consumption value in the target scheduling period, the actual line power value of each grid topology line in the target area is calculated; Determining the line power load of each power grid topology line based on the line standard power value and the line actual power value; According to the order of line power load from large to small, a dispatch priority list of dispatch sub-areas corresponding to several power grid topology lines is constructed.

6. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 5 is characterized in that: The steps for obtaining the geographic location parameters and emergency power supply deployment information of each dispatching sub-area include: Obtaining geographic location parameters of each scheduling sub-area, and extracting substation location information of the power grid topology line from the geographic location parameters; Based on the substation location information, calling an electronic map of a target area and extracting road route information in the electronic map; Access the emergency power supply deployment information database to extract the first deployment information of the fixed emergency power supply and the second deployment information of the mobile emergency power supply in each scheduling sub-area; The first deployment information includes a first deployment position and a first power supply value of each fixed emergency power supply, and the second deployment information includes a second deployment position, a second power supply value and a moving speed of each mobile emergency power supply in the current deployment.

7. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 6 is characterized in that: The steps of generating an emergency power supply dispatching strategy according to the geographic location parameter, the first deployment information and the second deployment information specifically include: Calculate the line power demand value of each scheduling sub-area in the scheduling priority list based on the line power load of each scheduling sub-area in the scheduling priority list and the first power supply value of the fixed emergency power supply at the first deployment position in the scheduling sub-area; According to the line power demand value of each scheduling sub-area, the second deployment position of the mobile emergency power supply deployment in each scheduling sub-area, the substation location information and the road route information, an emergency power supply scheduling strategy for the target area in the target scheduling cycle and the second target number of scheduling cycles thereafter is generated.

8. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 7 is characterized in that: According to the line power demand value of each dispatching sub-area, the second deployment position of the mobile emergency power supply deployment in each dispatching sub-area, the substation location information and the road route information, the emergency power supply dispatching strategy steps for the target area in the target dispatching period and the second target number of dispatching periods thereafter are generated, specifically including: Using the power consumption characteristics of each power user in the power grid operation parameters of the reference period and the power consumption forecast value of the target scheduling period, based on the power grid operation parameter prediction model, obtain the power consumption forecast value of the second target number of scheduling periods after the target scheduling period of each power user; The first constraint condition is that the second power supply value of each scheduling sub-area after connecting to the mobile emergency power supply is greater than the line power demand value, the second constraint condition is that the moving time of each emergency power supply in each scheduling cycle within the target scheduling cycle and the second target number of scheduling cycles thereafter is less than the preset time value, and the goal is to minimize the overall moving distance of all emergency power supplies within the target scheduling cycle and the second target number of scheduling cycles thereafter, solve the mobile emergency power supply allocation plan for each scheduling cycle of the target area within the target scheduling cycle and the second target number of scheduling cycles thereafter; The dispatching action of the mobile emergency power supply between each adjacent dispatching period is output as the emergency power supply dispatching strategy of the target area in the target dispatching period and a second target number of dispatching periods thereafter.

9. The new power system source-grid-load-storage integrated collaborative optimization method according to claim 5 is characterized in that: The emergency power dispatch strategy is converted into a dispatch instruction and sent to the emergency power dispatch execution terminal, so that the dispatch personnel can perform the dispatch action steps according to the dispatch instruction received by the emergency power dispatch execution terminal, including: Convert the dispatching action of each dispatching cycle in the emergency power dispatching strategy of the target area in the target dispatching cycle and the second target number of dispatching cycles thereafter into a dispatching instruction, and send the dispatching instruction to the emergency power dispatching execution terminal when executing the dispatching task of the dispatching cycle; The dispatching personnel execute the dispatching actions of the current dispatching cycle according to the dispatching instructions of the current dispatching cycle received by the emergency power dispatching execution terminal.

10. A new type of power system source-grid-load-storage integrated collaborative optimization system, characterized in that: include: An extraction module is used to obtain the power grid parameter information of the target area, and extract the power grid power supply layout parameters of the target area and the power grid operation parameters of the reference period from the power grid parameter information; A construction module is used to predict the grid operation prediction parameters of the target area in the target scheduling period based on the grid operation parameters of the reference period and using the grid operation parameter prediction model, and to construct a scheduling priority list including several scheduling sub-areas according to the grid operation prediction parameters and the grid power supply layout parameters; An acquisition module is used to acquire geographic location parameters and emergency power deployment information of each scheduling sub-area; wherein the emergency power deployment information includes first deployment information of fixed emergency power in each scheduling sub-area and second deployment information of mobile emergency power in each scheduling sub-area; The execution module is used to generate an emergency power supply dispatching strategy based on the geographic location parameters, the first deployment information and the second deployment information, and convert the emergency power supply dispatching strategy into a dispatching instruction and send it to the emergency power supply dispatching execution terminal, so that the dispatching personnel can execute the dispatching action according to the dispatching instruction received by the emergency power supply dispatching execution terminal.

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