Offshore multi-partition combined operation method and system considering power grid guarantee supply under extreme weather

Abstract

The invention belongs to the technical field of power distribution system planning, and particularly relates to an offshore multi-partition combined operation method and system considering power grid supply guarantee under extreme weather. The method comprises the following steps of: constructing an offshore multi-partition combined operation model according to the wind power generation capacity and the emergency power supply guarantee capability of a system in a scene of abnormal wind power output or power supply interruption of a superior power grid caused by three extreme weathers of strong wind, small wind and extreme ocean current, and solving the offshore multi-partition combined operation model to obtain a power supply area division optimization scheme and a system operation optimization scheme. According to the method, the complementary characteristic of the offshore power supply and the load is fully utilized, the influence of extreme weather is fully considered, and the comprehensive power supply cost of the system can be reduced while the dependence degree of the system on the shore-based superior power grid is effectively reduced.

Description

Technical Field

[0001] This invention belongs to the field of power distribution system planning technology, specifically relating to a method and system for joint operation of multiple zones at sea that takes into account power grid supply under extreme weather conditions. Background Technology

[0002] As the global energy structure transformation accelerates, offshore wind power, as an important component of clean energy, is rapidly developing towards large-scale and clustered applications. Simultaneously, to meet the demands of the low-latency, high-computing-power digital economy, a number of new high-reliability power facilities, such as subsea data centers, are expanding into the ocean. These trends have significantly increased the concentration and total volume of offshore power load, leading to a higher dependence on shore-based power grids. Traditional point-to-point, unidirectional power supply models are no longer suitable for the complex landscape of multi-source aggregation and diversified consumption in the future offshore energy internet.

[0003] Furthermore, the inherent complexity of the marine environment and the frequent occurrence of extreme weather pose significant challenges to ensuring the reliable and stable operation of offshore power supply systems. Offshore power facilities are constantly subjected to harsh natural conditions, which may lead to power supply bottlenecks or regional power outages. Therefore, there is an urgent need to develop optimized configuration and operation strategies that can proactively address climate risks and enhance system resilience to ensure the continuous power supply capacity of critical loads under extreme conditions. Summary of the Invention

[0004] The purpose of this invention is to address the aforementioned problems in the existing technology by providing a multi-zone joint operation method and system for offshore systems that considers the joint optimized operation of adjacent offshore wind power clusters, seabed data centers, and offshore platforms, thereby effectively reducing the system's dependence on the onshore upper-level power grid and lowering the overall power supply cost of the system, while also taking into account grid supply security under extreme weather conditions.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention provides a method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions, the method comprising:

[0007] S1. Considering the interconnection and joint optimization operation of offshore wind power clusters, seabed data centers and offshore operation platforms in the sea area where the system is located, as well as the emergency power supply guarantee capability of the system under the three extreme weather conditions of strong wind, weak wind and extreme ocean currents, which may cause abnormal wind power output or power outage of the upper-level power grid, a multi-zone joint operation model for the sea is constructed.

[0008] S2. Solve the multi-zone joint operation model at sea to obtain the multi-zone joint operation scheme at sea.

[0009] In S1, the joint operation model of the multi-zone marine operation is a two-stage optimization model, including a power supply area optimization division model and a power supply and consumption system operation optimization model. The power supply area optimization division model is constructed with the goal of minimizing the power supply dependence of each power supply zone on the upper-level power grid, and the power supply and consumption system operation optimization model is constructed with the goal of minimizing the overall power supply cost of the system.

[0010] S2 includes:

[0011] Solving the power supply area optimization model yields the power supply area division optimization scheme. Based on the power supply area division optimization scheme, solving the power supply and consumption system operation optimization model yields the system operation optimization scheme. The system operation optimization scheme includes the layout of step-up points and the configuration scheme of low-voltage and high-voltage power supply lines in each power supply zone.

[0012] The constraints of the power supply and utilization system operation optimization model include system emergency power supply mode constraints and actual absorption ratio constraints of offshore wind power output.

[0013] The constraints of the power supply area optimization partitioning model include self-balancing constraints within the area.

[0014] The objective function of the power supply area optimization partitioning model is:

[0015] ;

[0016] In the above formula, This indicates the degree of dependence of each power supply zone on the power supply from the upper-level power grid; , They are respectively regions During the period The power of offline and online connections; Unit of time;

[0017] The constraints of the power supply area optimization partitioning model also include node affiliation constraints, regional node quantity constraints, regional node connection constraints, external power supply constraints, available booster station constraints, and power interaction constraints between the upper-level power grid and the region; the node affiliation constraints include:

[0018] ;

[0019] In the above formula, For the region With nodes The relationship coefficient;

[0020] The constraint on the number of nodes in the region includes:

[0021] ;

[0022] In the above formula, This represents the maximum number of nodes that can be contained in a single region.

[0023] The regional node connection constraints include:

[0024] ;

[0025] In the above formula, They are respectively regions With nodes The relationship coefficient; For nodes and nodes The nearest constant;

[0026] The external power supply constraints include:

[0027] ;

[0028] In the above formula, The upper limit of power that needs to be externally balanced for a single region;

[0029] The available boost site constraints include:

[0030] ;

[0031] In the above formula, For nodes The positional relationship coefficients of candidate booster stations;

[0032] The power interaction constraints between the upper-level power grid and the region include:

[0033] ;

[0034] ;

[0035] ;

[0036] In the above formula, For time period ,area The power flows to the state variable.

[0037] The objective function of the power supply and utilization system operation optimization model is:

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] ;

[0043] In the above formula, This indicates the overall cost of power supply for the system; The discount rate; Investment period; , , , These are the costs of low-voltage power supply lines within the area, high-voltage power supply lines, backup power supplies, and the system's electricity purchase costs from the upper-level power grid. For the region Actual location variables for the internal booster station; For connecting nodes and nodes The required length of the cable to be constructed; For connecting nodes and nodes The number of low-voltage cables required for the line; The price is the unit price for a single low-voltage cable per unit length. For nodes The length of the line connecting the substation to the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid; This refers to the unit price of a single high-voltage cable per unit length. For nodes The number of energy storage systems configured at the location; The price is for a single energy storage system; For time period The upper-level power grid and nodes The power exchange capacity of the substation at the location; For time period Electricity prices; The number of typical days in a year;

[0044] The constraints of the power supply and utilization system operation optimization model also include step-up substation selection constraints, power transmission capacity constraints of each low-voltage line, and actual power interaction constraints between the system and the upstream power grid; the step-up substation selection constraints include:

[0045] ;

[0046] ;

[0047] In the above formula, For nodes The positional relationship coefficients of candidate booster stations;

[0048] The power transmission capacity constraints of each low-voltage line include:

[0049] ;

[0050] ;

[0051] ;

[0052] In the above formula, For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; The capacity of a single low-voltage cable; This represents the maximum load rate of the low-voltage cable under normal operating conditions.

[0053] The actual power interaction constraints between the system and the upstream power grid include:

[0054] ;

[0055] ;

[0056] In the above formula, For time period area boost node Actual power exchange with the upstream power grid; This refers to the capacity of a single high-voltage cable; This represents the maximum load rate of the high-voltage cable under normal operating conditions.

[0057] The actual power absorption constraints for offshore wind power include:

[0058] ;

[0059] In the above formula, For time period node The actual absorption capacity of offshore wind power; For the region Inside, node Offshore wind power during the period Maximum output; For the region Location of nodes for offshore wind power.

[0060] The system's emergency power supply mode constraints include: power balance constraints under extreme weather conditions, power interaction constraints between the booster node and the upper-level power grid under extreme weather conditions, energy storage output power constraints of the submarine data center, configuration constraints of the submarine data center, output power constraints of the fuel generators configured on the offshore operating platform, actual output power constraints of offshore wind power under extreme weather conditions, and power transmission constraints of low-voltage power supply lines within the area under extreme weather conditions.

[0061] The power balance constraints under extreme weather conditions include:

[0062] ;

[0063] In the above formula, Number the extreme weather types; For extreme weather Time, period area boost node Power exchange with the upstream power grid; For extreme weather Time, period area nodes The power demand of the data center; For extreme weather Time, period area nodes The energy storage system is configured to provide power as an emergency power source. For extreme weather Time, period area nodes The power demand of offshore operating platforms; For extreme weather Time, period area nodes The output of emergency fuel generator sets on offshore operating platforms; For extreme weather Time, period area nodes The actual absorption capacity of offshore wind power;

[0064] The power interaction constraints between the boost node and the upstream power grid under extreme weather conditions include:

[0065] ;

[0066] ;

[0067] In the above formula, For extreme weather The connection status of the upstream power grid at that time; It is a large M constant; This represents the maximum load factor of the high-voltage cable under extreme operating conditions. This refers to the capacity of a single high-voltage cable; For time period area boost node Actual power exchange with the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid;

[0068] The energy storage output power constraints of the submarine data center include:

[0069] ;

[0070] In the above formula, This is the maximum output power of a single energy storage system. For nodes The number of energy storage systems configured at the location;

[0071] The configuration constraints of the submarine data center include:

[0072] ;

[0073] In the above formula, For the node constants of the seabed data center;

[0074] The output power constraints of the fuel generator configured on the offshore operating platform include:

[0075] ;

[0076] In the above formula, For nodes The maximum output power of the fuel generators configured on the offshore operating platform;

[0077] The actual output power constraints of offshore wind power under extreme weather conditions include:

[0078] ;

[0079] In the above formula, For extreme weather Wind power output coefficient at that time;

[0080] The power transmission constraints of low-voltage power supply lines in the area under extreme weather conditions include:

[0081] ;

[0082] ;

[0083] ;

[0084] In the above formula, This represents the maximum load factor under extreme operating conditions for low-voltage cables. For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line.

[0085] The self-balancing constraints within the region include:

[0086] ;

[0087] In the above formula, , , They are respectively regions Location of nodes for inland seabed data centers, offshore operation platforms, and offshore wind power; , They are respectively regions Inside, node Submarine data center and node offshore operating platforms during the period The load; For the region Inside, node Offshore wind power during the period Maximum output; For the upper-level power grid and the region During the period The power of electrical interaction; , , They are respectively regions With nodes Relationship coefficients, regions With nodes Relationship coefficients, regions With nodes The relationship coefficient.

[0088] Secondly, the present invention provides a multi-regional joint operation system for maritime power grid supply under extreme weather conditions, the multi-regional joint operation system for maritime power grid supply includes:

[0089] The model building module is used to consider the interconnection and joint optimization operation of offshore wind power clusters, seabed data centers and offshore operation platforms in the sea area where the system is located, as well as the emergency power supply guarantee capability of the system under the three extreme weather conditions of strong wind, weak wind and extreme ocean currents, which may cause abnormal wind power output or power outage of the upper-level power grid. It is used to build a multi-zone joint operation model at sea.

[0090] The simulation calculation module is used to solve the joint operation model of multiple maritime zones to obtain the joint operation scheme of multiple maritime zones.

[0091] The joint operation model of the multi-zone marine region is a two-stage optimization model, including a power supply area optimization division model and a power supply and consumption system operation optimization model. The power supply area optimization division model is constructed with the goal of minimizing the power supply dependence of each power supply zone on the upper-level power grid, and the power supply and consumption system operation optimization model is constructed with the goal of minimizing the overall power supply cost of the system.

[0092] The simulation calculation module is used to solve the power supply area optimization division model to obtain the power supply area division optimization scheme, and based on the power supply area division optimization scheme, to solve the power supply and consumption system operation optimization model to obtain the system operation optimization scheme. The system operation optimization scheme includes the layout of step-up points in each power supply zone and the configuration scheme of low-voltage and high-voltage power supply lines.

[0093] The constraints of the power supply and utilization system operation optimization model include system emergency power supply mode constraints and actual absorption ratio constraints of offshore wind power output.

[0094] The constraints of the power supply area optimization partitioning model include self-balancing constraints within the area.

[0095] The objective function of the power supply area optimization partitioning model is:

[0096] ;

[0097] In the above formula, This indicates the degree of dependence of each power supply zone on the power supply from the upper-level power grid; , They are respectively regions During the period The power of offline and online connections; Unit of time;

[0098] The constraints of the power supply area optimization partitioning model also include node affiliation constraints, regional node quantity constraints, regional node connection constraints, external power supply constraints, available booster station constraints, and power interaction constraints between the upper-level power grid and the region; the node affiliation constraints include:

[0099] ;

[0100] In the above formula, For the region With nodes The relationship coefficient;

[0101] The constraint on the number of nodes in the region includes:

[0102] ;

[0103] In the above formula, This represents the maximum number of nodes that can be contained in a single region.

[0104] The regional node connection constraints include:

[0105] ;

[0106] In the above formula, They are respectively regions With nodes The relationship coefficient; For nodes and nodes The nearest constant;

[0107] The external power supply constraints include:

[0108] ;

[0109] In the above formula, The upper limit of power that needs to be externally balanced for a single region;

[0110] The available boost site constraints include:

[0111] ;

[0112] In the above formula, For nodes The positional relationship coefficients of candidate booster stations;

[0113] The power interaction constraints between the upper-level power grid and the region include:

[0114] ;

[0115] ;

[0116] ;

[0117] In the above formula, For time period ,area The power flows to the state variable.

[0118] The objective function of the power supply and utilization system operation optimization model is:

[0119] ;

[0120] ;

[0121] ;

[0122] ;

[0123] ;

[0124] In the above formula, This indicates the overall cost of power supply for the system; The discount rate; Investment period; , , , These are the costs of low-voltage power supply lines within the area, high-voltage power supply lines, backup power supplies, and the system's electricity purchase costs from the upper-level power grid. For the region Actual location variables for the internal booster station; For connecting nodes and nodes The required length of the cable to be constructed; For connecting nodes and nodes The number of low-voltage cables required for the line; The price is the unit price for a single low-voltage cable per unit length. For nodes The length of the line connecting the substation to the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid; This refers to the unit price of a single high-voltage cable per unit length. For nodes The number of energy storage systems configured at the location; The price is for a single energy storage system; For time period The upper-level power grid and nodes The power exchange capacity of the substation at the location; For time period Electricity prices; The number of typical days in a year;

[0125] The constraints of the power supply and utilization system operation optimization model also include step-up substation selection constraints, power transmission capacity constraints of each low-voltage line, and actual power interaction constraints between the system and the upstream power grid; the step-up substation selection constraints include:

[0126] ;

[0127] ;

[0128] In the above formula, For nodes The positional relationship coefficients of candidate booster stations;

[0129] The power transmission capacity constraints of each low-voltage line include:

[0130] ;

[0131] ;

[0132] ;

[0133] In the above formula, For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; The capacity of a single low-voltage cable; This represents the maximum load rate of the low-voltage cable under normal operating conditions.

[0134] The actual power interaction constraints between the system and the upstream power grid include:

[0135] ;

[0136] ;

[0137] In the above formula, For time period area boost node Actual power exchange with the upstream power grid; This refers to the capacity of a single high-voltage cable; This represents the maximum load rate of the high-voltage cable under normal operating conditions.

[0138] The actual power absorption constraints for offshore wind power include:

[0139] ;

[0140] In the above formula, For time period node The actual absorption capacity of offshore wind power; For the region Inside, node Offshore wind power during the period Maximum output; For the region Location of nodes for offshore wind power.

[0141] The system's emergency power supply mode constraints include: power balance constraints under extreme weather conditions, power interaction constraints between the booster node and the upper-level power grid under extreme weather conditions, energy storage output power constraints of the submarine data center, configuration constraints of the submarine data center, output power constraints of the fuel generators configured on the offshore operating platform, actual output power constraints of offshore wind power under extreme weather conditions, and power transmission constraints of low-voltage power supply lines within the area under extreme weather conditions.

[0142] The power balance constraints under extreme weather conditions include:

[0143] ;

[0144] In the above formula, Number the extreme weather types; For extreme weather Time, period area boost node Power exchange with the upstream power grid; For extreme weather Time, period area nodes The power demand of the data center; For extreme weather Time, period area nodes The energy storage system is configured to provide power as an emergency power source. For extreme weather Time, period area nodes The power demand of offshore operating platforms; For extreme weather Time, period area nodes The output of emergency fuel generator sets on offshore operating platforms; For extreme weather Time, period area nodes The actual absorption capacity of offshore wind power;

[0145] The power interaction constraints between the boost node and the upstream power grid under extreme weather conditions include:

[0146] ;

[0147] ;

[0148] In the above formula, For extreme weather The connection status of the upstream power grid at that time; It is a large M constant; This represents the maximum load factor of the high-voltage cable under extreme operating conditions. This refers to the capacity of a single high-voltage cable; For time period area boost node Actual power exchange with the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid;

[0149] The energy storage output power constraints of the submarine data center include:

[0150] ;

[0151] In the above formula, This is the maximum output power of a single energy storage system. For nodes The number of energy storage systems configured at the location;

[0152] The configuration constraints of the submarine data center include:

[0153] ;

[0154] In the above formula, For the node constants of the seabed data center;

[0155] The output power constraints of the fuel generator configured on the offshore operating platform include:

[0156] ;

[0157] In the above formula, For nodes The maximum output power of the fuel generators configured on the offshore operating platform;

[0158] The actual output power constraints of offshore wind power under extreme weather conditions include:

[0159] ;

[0160] In the above formula, For extreme weather Wind power output coefficient at that time;

[0161] The power transmission constraints of low-voltage power supply lines in the area under extreme weather conditions include:

[0162] ;

[0163] ;

[0164] ;

[0165] In the above formula, This represents the maximum load factor under extreme operating conditions for low-voltage cables. For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line.

[0166] The self-balancing constraints within the region include:

[0167] ;

[0168] In the above formula, , , They are respectively regions Location of nodes for inland seabed data centers, offshore operation platforms, and offshore wind power; , They are respectively regions Inside, node Submarine data center and node offshore operating platforms during the period The load; For the region Inside, node Offshore wind power during the period Maximum output; For the upper-level power grid and the region During the period The power of electrical interaction; , , They are respectively regions With nodes Relationship coefficients, regions With nodes Relationship coefficients, regions With nodes The relationship coefficient.

[0169] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0170] 1. In the offshore multi-zone joint operation method for ensuring power grid supply under extreme weather conditions described in this invention, the power supply area division of the offshore power supply system has been optimized, which improves the self-balancing capacity of power supply and consumption within the low voltage level zone and the proportion of offshore wind power output absorbed within the zone.

[0171] 2. In the marine multi-zone joint operation method for power grid supply under extreme weather conditions described in this invention, the layout of boost points in each power supply zone and the configuration of low-voltage and high-voltage power supply lines are optimized based on the optimization of the zones, thereby reducing the overall power supply facility configuration cost of the system.

[0172] 3. The offshore multi-zone joint operation method for ensuring power grid supply under extreme weather conditions described in this invention takes into account the interconnection and joint optimization operation of nearby offshore wind power clusters, submarine data centers and offshore platforms, making full use of the complementary characteristics of offshore power sources and loads, and reducing the system's dependence on the shore-based upper-level power grid.

[0173] 4. The offshore multi-zone joint operation method for ensuring power grid supply under extreme weather conditions described in this invention takes into account the emergency power supply guarantee capability of the system under three extreme weather scenarios: strong winds, weak winds, and extreme ocean currents, which may cause abnormal wind power output or power outages in the upper-level power grid. Under the premise of ensuring that the power supply lines at each voltage level are not overloaded, the minimum amount of emergency energy storage is configured to save hardware costs. Attached Figure Description

[0174] Figure 1 This is a flowchart of the multi-regional joint operation method for ensuring power grid supply under extreme weather conditions, as described in this invention.

[0175] Figure 2 This is a schematic diagram of the offshore power supply system architecture addressed in this invention.

[0176] Figure 3 This is a schematic diagram illustrating the construction of the multi-zone joint operation model at sea in this invention.

[0177] Figure 4 This is a topology diagram of a 20-node offshore power supply system in the example of this invention.

[0178] Figure 5 This is a typical offshore wind power output characteristic diagram in the calculation examples of this invention.

[0179] Figure 6 This is a schematic diagram of the partitioning and line connection results in the example of this invention.

[0180] Figure 7 This is a structural block diagram of the multi-regional joint operation system for marine power grid supply under extreme weather conditions, as described in this invention. Detailed Implementation

[0181] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings.

[0182] Example 1:

[0183] See Figure 1 A method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions is carried out in the following steps:

[0184] S1, Facing such Figure 2 The offshore power supply system shown considers the interconnection and joint optimization operation of offshore wind power clusters, seabed data centers, and offshore operation platforms in the system's location, as well as the system's emergency power supply guarantee capabilities under scenarios of abnormal wind power output or power outages from the upstream power grid caused by three extreme weather conditions: strong winds, weak winds, and extreme ocean currents. A multi-zone joint operation model for the offshore system is constructed. Figure 3 As shown, the joint operation model of the multi-zone offshore area is a two-stage optimization model, including a power supply area optimization division model and a power supply and consumption system operation optimization model. The power supply area optimization division model is constructed with the goal of minimizing the power supply dependence of each power supply zone on the upper-level power grid, and the power supply and consumption system operation optimization model is constructed with the goal of minimizing the overall power supply cost of the system.

[0185] Specifically, the objective function of the power supply area optimization partitioning model is:

[0186] ;

[0187] In the above formula, This indicates the degree of dependence of each power supply zone on the power supply from the upper-level power grid; , They are respectively regions During the period The power of offline and online connections; Unit of time.

[0188] Specifically, the constraints of the power supply area optimization partitioning model include self-balancing constraints within the area, node affiliation constraints, number of nodes in the area, node connection constraints, external power supply constraints, available booster station constraints, and power interaction constraints between the upper-level power grid and the area. The self-balancing constraints within the area include:

[0189] ;

[0190] In the above formula, , , They are respectively regions Location of nodes for inland seabed data centers, offshore operation platforms, and offshore wind power; , They are respectively regions Inside, node Submarine data center and node offshore operating platforms during the period The load; For the region Inside, node Offshore wind power during the period Maximum output; For the upper-level power grid and the region During the period The power of electrical interaction; , , They are respectively regions With nodes Relationship coefficients, regions With nodes Relationship coefficients, regions With nodes The relationship coefficient, when A value of 1 indicates a node Belonging to the region Otherwise, it indicates a node Not belonging to the region And so on;

[0191] The node affiliation constraint indicates that any node can only belong to one partition, including:

[0192] ;

[0193] In the above formula, For the region With nodes The relationship coefficient, which is 1 when it represents the node Belonging to the region Otherwise, it indicates a node Not belonging to the region ;

[0194] The constraint on the number of nodes in the region includes:

[0195] ;

[0196] In the above formula, This represents the maximum number of nodes that can be contained in a single region.

[0197] The region node connectivity constraints are used to ensure that any node within the same region can find at least one neighboring node within that region, including:

[0198] ;

[0199] In the above formula, They are respectively regions With nodes The relationship coefficient; For nodes and nodes The proximity constant, when it is 1, indicates that the node and nodes Adjacent;

[0200] The external power supply constraints include:

[0201] ;

[0202] In the above formula, The upper limit of power that needs to be externally balanced for a single region;

[0203] The available booster site constraint is used to ensure that there is at least one candidate booster site in each region, including:

[0204] ;

[0205] In the above formula, For nodes The candidate booster site location relationship coefficient, when it is 1, indicates that the node For candidate booster sites, a value of 0 indicates a node. Not a candidate booster site;

[0206] The power interaction constraints between the upper-level power grid and the region include:

[0207] ;

[0208] ;

[0209] ;

[0210] In the above formula, For time period ,area The power flow direction state variable is defined as follows: when it is 1, it indicates that the upper-level power grid supplies power to the region; when it is 0, it indicates that the region sends power back to the upper-level power grid.

[0211] Specifically, the objective function of the power supply and utilization system operation optimization model is:

[0212] ;

[0213] ;

[0214] ;

[0215] ;

[0216] ;

[0217] In the above formula, This indicates the overall cost of power supply for the system; The discount rate; Investment period; , , , These are the costs of low-voltage power supply lines within the area, high-voltage power supply lines, backup power supplies, and the system's electricity purchase costs from the upper-level power grid. For the region Actual location variables for the internal booster station; For connecting nodes and nodes The required length of the cable to be constructed; For connecting nodes and nodes The number of low-voltage cables required for the line; The price is the unit price for a single low-voltage cable per unit length. For nodes The length of the line connecting the substation to the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid; This refers to the unit price of a single high-voltage cable per unit length. For nodes The number of energy storage systems configured at the location; The price is for a single energy storage system; For time period The upper-level power grid and nodes The power exchange capacity of the substation at the location; For time period Electricity prices; This represents the number of typical days in a year.

[0218] The constraints of the power supply and utilization system operation optimization model include the actual absorption ratio of offshore wind power output, the system emergency power supply mode constraints under extreme weather conditions leading to abnormal wind power output or power outages in the upstream grid, constraints on the selection of booster substations, the power transmission capacity constraints of each low-voltage line, and the actual power interaction constraints between the system and the upstream grid. Specifically, the constraints on the selection of booster substations include:

[0219] ;

[0220] ;

[0221] In the above formula, For nodes The candidate booster site location relationship coefficient, when it is 1, indicates that the node Candidate booster sites; a value of 1 indicates a node. Not a candidate booster site;

[0222] The power transmission capacity constraints of each low-voltage line include:

[0223] ;

[0224] ;

[0225] ;

[0226] In the above formula, For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; The capacity of a single low-voltage cable; This represents the maximum load rate of the low-voltage cable under normal operating conditions.

[0227] The actual power interaction constraints between the system and the upstream power grid include:

[0228] ;

[0229] ;

[0230] In the above formula, For time period area boost node Actual power exchange with the upstream power grid; This refers to the capacity of a single high-voltage cable; This represents the maximum load rate of the high-voltage cable under normal operating conditions.

[0231] The actual power absorption constraints for offshore wind power include:

[0232] ;

[0233] In the above formula, For time period node The actual absorption capacity of offshore wind power; For the region Inside, node Offshore wind power during the period Maximum output; For the region Location of nodes for offshore wind power projects;

[0234] The system's emergency power supply mode constraints include: power balance constraints under extreme weather conditions, power interaction constraints between the booster node and the upper-level power grid under extreme weather conditions, energy storage output power constraints of the submarine data center, configuration constraints of the submarine data center, output power constraints of the fuel generators configured on the offshore operating platform, actual output power constraints of offshore wind power under extreme weather conditions, and power transmission constraints of low-voltage power supply lines within the area under extreme weather conditions.

[0235] The power balance constraints under extreme weather conditions include:

[0236] ;

[0237] In the above formula, The extreme weather types are numbered. This example considers three extreme weather conditions: strong winds, light winds, and extreme ocean currents. For extreme weather Time, period area boost node Power exchange with the upstream power grid; For extreme weather Time, period area nodes The power demand of the data center; For extreme weather Time, period area nodes The energy storage system is configured to provide power as an emergency power source. For extreme weather Time, period area nodes The power demand of offshore operating platforms; For extreme weather Time, period area nodes The output of emergency fuel generator sets on offshore operating platforms; For extreme weather Time, period area nodes The actual absorption capacity of offshore wind power;

[0238] The power interaction constraints between the boost node and the upstream power grid under extreme weather conditions include:

[0239] ;

[0240] ;

[0241] In the above formula, For extreme weather The connection status of the upstream power grid at that time; It is a large M constant; This represents the maximum load factor of the high-voltage cable under extreme operating conditions. This refers to the capacity of a single high-voltage cable; For time period area boost node Actual power exchange with the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid;

[0242] The energy storage output power constraints of the submarine data center include:

[0243] ;

[0244] In the above formula, This is the maximum output power of a single energy storage system. For nodes The number of energy storage systems configured at the location;

[0245] The configuration constraints of the submarine data center include:

[0246] ;

[0247] In the above formula, For the node constants of the seabed data center;

[0248] The output power constraints of the fuel generator configured on the offshore operating platform include:

[0249] ;

[0250] In the above formula, For nodes The maximum output power of the fuel generators configured on the offshore operating platform;

[0251] The actual output power constraints of offshore wind power under extreme weather conditions include:

[0252] ;

[0253] In the above formula, For extreme weather Wind power output coefficient at that time;

[0254] The power transmission constraints of low-voltage power supply lines in the area under extreme weather conditions include:

[0255] ;

[0256] ;

[0257] ;

[0258] In the above formula, This represents the maximum load factor under extreme operating conditions for low-voltage cables. For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line.

[0259] S2. Solve the power supply area optimization division model to obtain the power supply area division optimization scheme; based on the power supply area division optimization scheme, solve the power supply and consumption system operation optimization model to obtain the system operation optimization scheme, which includes the layout of step-up points in each power supply zone and the configuration scheme of low-voltage and high-voltage power supply lines.

[0260] Performance verification:

[0261] To verify the effectiveness of the proposed method (Method 1), Method 1 and the configuration method of connecting the power supply node to the step-up point nearby (Method 2) were compared in a numerical example. The 20-node offshore power supply system topology used in the example is as follows: Figure 3 As shown. Typical offshore wind power output characteristics are as follows. Figure 4 As shown. The simulation calculations were performed on the MATLAB / CPLEX platform, with the following hardware parameters: Intel Core i7-9750H, 32GB RAM, 2.6GHz. Parameter settings: unit time is 1 hour; maximum number of nodes in a single region is 6; maximum power requiring external balancing in a single region is 30 MW; discount rate is 0.05; investment period is 20 years; unit price of a single low-voltage cable per unit length (per kilometer) is 400,000 yuan; unit price of a single high-voltage cable per unit length (per kilometer) is 1,000,000 yuan; price of a single energy storage system is 1,000,000 yuan; capacity of a single low-voltage cable is 1 MW; capacity of a single high-voltage cable is 2 MW; maximum load factor under normal operating conditions for both low-voltage and high-voltage cables is 0.8; maximum output power of a single energy storage system is 200 kW; maximum load factor under extreme operating conditions for both low-voltage and high-voltage cables is 1.

[0262] A schematic diagram of the partition and line connection results obtained by the method proposed in this invention is shown below. Figure 5 As shown in Table 1, the calculated combined power supply costs for the two methods are presented.

[0263] Table 1. Comparison of the overall power supply costs of the two methods

[0264]

[0265] As shown in Table 1, compared with Method 2, Method 1 reduces the annualized investment in the power line by 21.19%, the annualized investment in energy storage by 37.38%, the annual electricity purchase cost by 8.12%, and the overall system cost by 16.49%. These results verify that the method proposed in this invention achieves the effect of minimizing the overall system power supply cost while ensuring the system's power supply capacity.

[0266] Example 2:

[0267] See Figure 2A multi-zone joint operation system for offshore power grid supply under extreme weather conditions is proposed, comprising a model building module and a simulation calculation module. The model building module is used to construct a multi-zone joint operation model for offshore wind power clusters, seabed data centers, and offshore operation platforms distributed in the system's location, considering the interconnection and joint optimization operation of these components, as well as the system's emergency power supply guarantee capability under three extreme weather scenarios: strong winds, weak winds, and extreme ocean currents, leading to abnormal wind power output or power outages from the upper-level power grid. The multi-zone joint operation model is a two-stage optimization model, including a power supply area optimization partitioning model and a power supply and consumption system operation optimization model. The power supply area optimization partitioning model is constructed with the objective of minimizing the dependence of each power supply zone on the upper-level power grid, while the power supply and consumption system operation optimization model is constructed with the objective of minimizing the overall power supply cost of the system. The objective function of the power supply area optimization partitioning model is:

[0268] ;

[0269] In the above formula, This indicates the degree of dependence of each power supply zone on the power supply from the upper-level power grid; , They are respectively regions During the period The power of offline and online connections; Unit of time;

[0270] The constraints of the power supply area optimization partitioning model include self-balancing constraints within the area, node affiliation constraints, number of nodes in the area, node connection constraints, external power supply constraints, available booster station constraints, and power interaction constraints between the upper-level power grid and the area; the self-balancing constraints within the area include:

[0271] ;

[0272] In the above formula, , , They are respectively regions Location of nodes for inland seabed data centers, offshore operation platforms, and offshore wind power; , They are respectively regions Inside, node Submarine data center and node offshore operating platforms during the period The load; For the region Inside, node Offshore wind power during the period Maximum output; For the upper-level power grid and the region During the period The power of electrical interaction; , , They are respectively regions With nodes Relationship coefficients, regions With nodes Relationship coefficients, regions With nodes The relationship coefficient;

[0273] The node affiliation constraints include:

[0274] ;

[0275] In the above formula, For the region With nodes The relationship coefficient;

[0276] The constraint on the number of nodes in the region includes:

[0277] ;

[0278] In the above formula, This represents the maximum number of nodes that can be contained in a single region.

[0279] The regional node connection constraints include:

[0280] ;

[0281] In the above formula, They are respectively regions With nodes The relationship coefficient; For nodes and nodes The nearest constant;

[0282] The external power supply constraints include:

[0283] ;

[0284] In the above formula, The upper limit of power that needs to be externally balanced for a single region;

[0285] The available boost site constraints include:

[0286] ;

[0287] In the above formula, For nodes The positional relationship coefficients of candidate booster stations;

[0288] The power interaction constraints between the upper-level power grid and the region include:

[0289] ;

[0290] ;

[0291] ;

[0292] In the above formula, For time period ,area The power flows to the state variables;

[0293] The objective function of the power supply and utilization system operation optimization model is:

[0294] ;

[0295] ;

[0296] ;

[0297] ;

[0298] ;

[0299] In the above formula, This indicates the overall cost of power supply for the system; The discount rate; Investment period; , , , These are the costs of low-voltage power supply lines within the area, high-voltage power supply lines, backup power supplies, and the system's electricity purchase costs from the upper-level power grid. For the region Actual location variables for the internal booster station; For connecting nodes and nodes The required length of the cable to be constructed; For connecting nodes and nodes The number of low-voltage cables required for the line; The price is the unit price for a single low-voltage cable per unit length. For nodes The length of the line connecting the substation to the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid; This refers to the unit price of a single high-voltage cable per unit length. For nodes The number of energy storage systems configured at the location; The price is for a single energy storage system; For time period The upper-level power grid and nodes The power exchange capacity of the substation at the location; For time period Electricity prices; The number of typical days in a year;

[0300] The constraints of the power supply and utilization system operation optimization model include the actual absorption ratio of offshore wind power output, the system emergency power supply mode constraints under extreme weather conditions leading to abnormal wind power output or power outages in the upper-level power grid, the selection constraints of the booster station, the power transmission capacity constraints of each low-voltage line, and the actual power interaction constraints between the system and the upper-level power grid.

[0301] The actual power absorption constraints for offshore wind power include:

[0302] ;

[0303] In the above formula, For time period node The actual absorption capacity of offshore wind power; For the region Inside, node Offshore wind power during the period Maximum output; For the region Location of nodes for offshore wind power.

[0304] The system's emergency power supply mode constraints include: power balance constraints under extreme weather conditions, power interaction constraints between the booster node and the upper-level grid under extreme weather conditions, energy storage output power constraints of the subsea data center, configuration constraints of the subsea data center, output power constraints of the fuel generators configured on the offshore operating platform, actual output power constraints of offshore wind power under extreme weather conditions, and power transmission constraints of low-voltage power supply lines within the area under extreme weather conditions; the power balance constraints under extreme weather conditions include:

[0305] ;

[0306] In the above formula, Number the extreme weather types; For extreme weather Time, period area boost node Power exchange with the upstream power grid; For extreme weather Time, period area nodes The power demand of the data center; For extreme weather Time, period area nodes The energy storage system is configured to provide power as an emergency power source. For extreme weather Time, period area nodes The power demand of offshore operating platforms; For extreme weather Time, period area nodes The output of emergency fuel generator sets on offshore operating platforms; For extreme weather Time, period area nodes The actual absorption capacity of offshore wind power;

[0307] The power interaction constraints between the boost node and the upstream power grid under extreme weather conditions include:

[0308] ;

[0309] ;

[0310] In the above formula, For extreme weather The connection status of the upstream power grid at that time; It is a large M constant; This represents the maximum load factor of the high-voltage cable under extreme operating conditions. This refers to the capacity of a single high-voltage cable; For time period area boost node Actual power exchange with the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid;

[0311] The energy storage output power constraints of the submarine data center include:

[0312] ;

[0313] In the above formula, This is the maximum output power of a single energy storage system. For nodes The number of energy storage systems configured at the location;

[0314] The configuration constraints of the submarine data center include:

[0315] ;

[0316] In the above formula, For the node constants of the seabed data center;

[0317] The output power constraints of the fuel generator configured on the offshore operating platform include:

[0318] ;

[0319] In the above formula, For nodes The maximum output power of the fuel generators configured on the offshore operating platform;

[0320] The actual output power constraints of offshore wind power under extreme weather conditions include:

[0321] ;

[0322] In the above formula, For extreme weather Wind power output coefficient at that time;

[0323] The power transmission constraints of low-voltage power supply lines in the area under extreme weather conditions include:

[0324] ;

[0325] ;

[0326] ;

[0327] In the above formula, This represents the maximum load factor under extreme operating conditions for low-voltage cables. For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line;

[0328] The constraints for selecting the booster station location include:

[0329] ;

[0330] ;

[0331] In the above formula, For nodes The positional relationship coefficients of candidate booster stations;

[0332] The power transmission capacity constraints of each low-voltage line include:

[0333] ;

[0334] ;

[0335] ;

[0336] In the above formula, For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; The capacity of a single low-voltage cable; This represents the maximum load rate of the low-voltage cable under normal operating conditions.

[0337] The actual power interaction constraints between the system and the upstream power grid include:

[0338] ;

[0339] ;

[0340] In the above formula, For time period area boost node Actual power exchange with the upstream power grid; This refers to the capacity of a single high-voltage cable; This represents the maximum load rate of the high-voltage cable under normal operating conditions.

[0341] The simulation calculation module is used to solve the power supply area optimization division model to obtain the power supply area division optimization scheme; based on the power supply area division optimization scheme, it solves the power supply and consumption system operation optimization model to obtain the system operation optimization scheme, which includes the layout of step-up points in each power supply zone and the configuration scheme of low-voltage and high-voltage power supply lines.

[0342] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program goods. 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, this application can take the form of a computer program goods 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.

[0343] 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, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0344] 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.

[0345] 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.

[0346] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for joint operation of multiple marine zones to ensure power grid supply under extreme weather conditions, characterized by: The joint operation method for multiple maritime zones includes: S1. Considering the interconnection and joint optimization operation of offshore wind power clusters, seabed data centers and offshore operation platforms in the sea area where the system is located, as well as the emergency power supply guarantee capability of the system under the three extreme weather conditions of strong wind, weak wind and extreme ocean currents, which may cause abnormal wind power output or power outage of the upper-level power grid, a multi-zone joint operation model for the sea is constructed. S2. Solve the multi-zone joint operation model at sea to obtain the multi-zone joint operation scheme at sea.

2. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 1, characterized in that: In S1, the joint operation model of the multi-zone marine operation is a two-stage optimization model, including a power supply area optimization division model and a power supply and consumption system operation optimization model. The power supply area optimization division model is constructed with the goal of minimizing the power supply dependence of each power supply zone on the upper-level power grid, and the power supply and consumption system operation optimization model is constructed with the goal of minimizing the overall power supply cost of the system. S2 includes: Solving the power supply area optimization model yields the power supply area division optimization scheme. Based on the power supply area division optimization scheme, solving the power supply and consumption system operation optimization model yields the system operation optimization scheme. The system operation optimization scheme includes the layout of step-up points and the configuration scheme of low-voltage and high-voltage power supply lines in each power supply zone.

3. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 2, characterized in that: The constraints of the power supply and utilization system operation optimization model include system emergency power supply mode constraints and actual absorption ratio constraints of offshore wind power output.

4. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions as described in claim 2, characterized in that: The constraints of the power supply area optimization partitioning model include self-balancing constraints within the area.

5. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 2, characterized in that: The objective function of the power supply area optimization partitioning model is: ； In the above formula, This indicates the degree of dependence of each power supply zone on the power supply from the upper-level power grid; , They are respectively regions During the period The power of offline and online connections; Unit of time; The constraints of the power supply area optimization partitioning model also include node affiliation constraints, regional node quantity constraints, regional node connection constraints, external power supply constraints, available booster station constraints, and power interaction constraints between the upper-level power grid and the region; the node affiliation constraints include: ； In the above formula, For the region With nodes The relationship coefficient; The constraint on the number of nodes in the region includes: ； In the above formula, This represents the maximum number of nodes that can be contained in a single region. The regional node connection constraints include: ； In the above formula, They are respectively regions With nodes The relationship coefficient; For nodes and nodes The nearest constant; The external power supply constraints include: ； In the above formula, The upper limit of power that needs to be externally balanced for a single region; The available boost site constraints include: ； In the above formula, For nodes Candidate booster site location coefficients; The power interaction constraints between the upper-level power grid and the region include: ； ； ； In the above formula, For time period ,area The power flows to the state variable.

6. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 2, characterized in that: The objective function of the power supply and utilization system operation optimization model is: ； ； ； ； ； In the above formula, This indicates the overall cost of power supply for the system; The discount rate; Investment period; , , , These are the costs of low-voltage power supply lines within the area, high-voltage power supply lines, backup power supplies, and the system's electricity purchase costs from the upper-level power grid. For the region Actual location variables for the internal booster station; For connecting nodes and nodes The required length of the cable to be constructed; For connecting nodes and nodes The number of low-voltage cables required for the line; The price is the unit price for a single low-voltage cable per unit length. For nodes The length of the line connecting the substation to the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid; This refers to the unit price of a single high-voltage cable per unit length. For nodes The number of energy storage systems configured at the location; The price is for a single energy storage system; For time period The upper-level power grid and nodes The power exchange capacity of the substation at the location; For time period Electricity prices; The number of typical days in a year; The constraints of the power supply and utilization system operation optimization model also include the selection constraints of the booster station, the power transmission capacity constraints of each low-voltage line, and the actual power interaction constraints between the offshore system and the upstream power grid. The constraints for selecting the booster station location include: ； ； In the above formula, For nodes Candidate booster site location coefficients; The power transmission capacity constraints of each low-voltage line include: ； ； ； In the above formula, For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; The capacity of a single low-voltage cable; This represents the maximum load rate of the low-voltage cable under normal operating conditions. The actual power interaction constraints between the system and the upstream power grid include: ； ； In the above formula, For time period area boost node Actual power exchange with the upstream power grid; This refers to the capacity of a single high-voltage cable; This represents the maximum load rate of the high-voltage cable under normal operating conditions.

7. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 3, characterized in that: The actual power absorption constraints for offshore wind power include: ； In the above formula, For time period node The actual absorption capacity of offshore wind power; For the region Inside, node Offshore wind power during the period Maximum output; For the region Location of nodes for offshore wind power.

8. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 3, characterized in that: The system's emergency power supply mode constraints include: power balance constraints under extreme weather conditions, power interaction constraints between the booster node and the upper-level grid under extreme weather conditions, energy storage output power constraints of the subsea data center, configuration constraints of the subsea data center, output power constraints of the fuel generators configured on the offshore operating platform, actual output power constraints of offshore wind power under extreme weather conditions, and power transmission constraints of low-voltage power supply lines within the area under extreme weather conditions; the power balance constraints under extreme weather conditions include: ； In the above formula, Number the extreme weather types; For extreme weather Time, period area boost node Power exchange with the upstream power grid; For extreme weather Time, period area nodes The power demand of the data center; For extreme weather Time, period area nodes The energy storage system is configured to provide power as an emergency power source. For extreme weather Time, period area nodes The power demand of offshore operating platforms; For extreme weather Time, period area nodes The output of emergency fuel generator sets on offshore operating platforms; For extreme weather Time, period area nodes The actual absorption capacity of offshore wind power; The power interaction constraints between the boost node and the upstream power grid under extreme weather conditions include: ； ； In the above formula, For extreme weather The connection status of the upstream power grid at that time; It is a large M constant; This represents the maximum load factor of the high-voltage cable under extreme operating conditions. This refers to the capacity of a single high-voltage cable; For time period area boost node Actual power exchange with the upstream power grid; For nodes The number of high-voltage cables connecting the substation to the upstream power grid; The energy storage output power constraints of the submarine data center include: ； In the above formula, This is the maximum output power of a single energy storage system. For nodes The number of energy storage systems configured at the location; The configuration constraints of the submarine data center include: ； In the above formula, For the node constants of the seabed data center; The output power constraints of the fuel generator configured on the offshore operating platform include: ； In the above formula, For nodes The maximum output power of the fuel generators configured on the offshore operating platform; The actual output power constraints of offshore wind power under extreme weather conditions include: ； In the above formula, For extreme weather Wind power output coefficient at that time; The power transmission constraints of low-voltage power supply lines in the area under extreme weather conditions include: ； ； ； In the above formula, This represents the maximum load factor under extreme operating conditions for low-voltage cables. For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line; For connecting nodes and nodes The number of low-voltage cables required for the line.

9. The method for joint operation of multiple marine zones considering power grid supply under extreme weather conditions according to claim 4, characterized in that: The self-balancing constraints within the region include: ； In the above formula, , , They are respectively regions Location of nodes for inland seabed data centers, offshore operation platforms, and offshore wind power; , They are respectively regions Inside, node Submarine data center and node offshore operating platforms during the period The load; For the region Inside, node Offshore wind power during the period Maximum output; For the upper-level power grid and the region During the period The power of electrical interaction; , , They are respectively regions With nodes Relationship coefficients, regions With nodes Relationship coefficients, regions With nodes The relationship coefficient.

10. A multi-regional joint operation system for ensuring power grid supply under extreme weather conditions at sea, characterized in that: The maritime multi-zone joint operation system includes: The model building module is used to consider the interconnection and joint optimization operation of offshore wind power clusters, seabed data centers and offshore operation platforms in the sea area where the system is located, as well as the emergency power supply guarantee capability of the system under the three extreme weather conditions of strong wind, weak wind and extreme ocean currents, which may cause abnormal wind power output or power outage of the upper-level power grid. It is used to build a multi-zone joint operation model at sea. The simulation calculation module is used to solve the joint operation model of multiple maritime zones to obtain the joint operation scheme of multiple maritime zones.

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