Multi-type energy complementary island microgrid coordination control method and system

Abstract

The invention discloses a multi-type energy complementary island micro-grid coordination control method and system, and relates to the technical field of energy coordination control, and the method comprises the steps: collecting an island micro-grid structure and a predetermined prediction time zone, and carrying out the historical data analysis; performing energy coordination control on the island microgrid based on the energy coordination control scheme; and performing simulation evaluation through a simulation tool. According to the island micro-grid coordination control method for multi-type energy complementation, the island micro-grid structure and the preset prediction time zone are collected for historical data analysis, the accuracy and consistency of data analysis are improved, different power utilization levels are set according to the actual power utilization condition and management requirements of the island, data are arranged according to the time sequence, and the power utilization rate of the island is improved. The power supply reliability and efficiency are improved, power generation prediction is carried out based on the prediction model, the perspectiveness and accuracy of energy management are improved, and better effects are achieved in the aspects of the power supply reliability, the power generation prediction precision and the power generation prediction efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of energy coordinated control, and in particular to a coordinated control method and system for an island microgrid with complementary multi-type energies. Background Art

[0002] The island microgrid system is a local power grid for independent power supply, mainly used in island areas with remote geographical locations, difficult grid coverage or no access to large power networks. Due to the unique environment of islands, they often have abundant renewable energy resources, such as wind energy, solar energy, wave energy, etc. Therefore, island microgrid systems usually adopt a variety of renewable energy power generation methods to achieve sustainable utilization and stable supply of energy. Floating wind power systems, photovoltaic power generation systems and wave power generation systems are typical representatives. These power generation systems can effectively utilize the abundant natural resources around the islands and provide reliable power supply for island residents and infrastructure.

[0003] However, in the prior art, various types of power generation systems often operate independently and lack unified coordination and management. Specifically, the operation and control strategies of wind power, photovoltaic and wave power generation systems have not been effectively integrated, resulting in a lack of synergy between the systems. For example, wind power systems may generate electricity efficiently when there is sufficient wind, while photovoltaic systems rely on the intensity of sunlight, and wave power generation is closely related to the height and period of waves. This independent operation mode leads to the situation that in some cases, a certain type of power generation system may be in an efficient operation state, while other systems fail to fully utilize their power generation potential, resulting in low resource utilization. In addition, the volatility and instability of a single type of power generation system have not been balanced and optimized through the complementarity of other systems, resulting in the overall system's power supply stability and reliability being affected. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing energy coordination control method has the problems of poor power supply stability, low reliability, low resource utilization, and lack of synergy between systems.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for coordinated control of an island microgrid with complementary multi-type energies, comprising collecting historical data analysis of the island microgrid structure and the predetermined prediction time zone; performing energy coordinated control of the island microgrid based on the energy coordinated control scheme; and performing simulation evaluation through simulation tools.

[0007] As a preferred solution of the coordinated control method of the multi-type energy complementary island microgrid described in the present invention, wherein: the collecting of the island microgrid structure and the historical data analysis of the predetermined prediction time zone includes collecting the island microgrid structure;

[0008] The island microgrid structure includes power generation units and power consumption units;

[0009] The power generation unit includes multiple types of power generation systems;

[0010] Determine the overall architecture of the island microgrid, including power generation units and power consumption units;

[0011] Collect the scheduled forecast time zone, and retrieve the historical power generation data and historical power consumption data based on the scheduled forecast time zone;

[0012] Conduct trend analysis on historical electricity consumption data and generate predicted electricity consumption trends for electricity consumption units based on trend analysis results;

[0013] Determine the forecast time range based on the management requirements of the island microgrid;

[0014] Retrieving historical power generation data of the historical time zone of the predetermined forecast time zone from the data recording system of the power generation unit;

[0015] Retrieving historical power consumption data of a corresponding historical time zone of a predetermined forecast time zone from a monitoring system of the power consumption unit;

[0016] Standardize historical electricity consumption data to eliminate the impact of different data sources and magnitudes, and extract key features from standardized historical data;

[0017] Use time series analysis methods to analyze historical electricity consumption data, identify electricity consumption patterns and seasonal trends, and generate predicted electricity consumption trends for electricity consumption units;

[0018] Time series analysis analyzes time series data, numerical data recorded in chronological order, to identify patterns and trends in the data and make predictions.

[0019] As a preferred solution of the coordinated control method of the multi-type energy complementarity island microgrid described in the present invention, wherein: the collection of historical data analysis of the island microgrid structure and the predetermined prediction time zone includes classifying the predicted power consumption trend, and obtaining multiple graded power consumption curves according to the power consumption classification results;

[0020] Define electricity classification standards, set different electricity levels according to the actual electricity consumption and management needs of the island, and set the electricity levels of critical loads, important loads, and general loads according to the load type, such as residential, commercial, and industrial. Each electricity level has a corresponding electricity priority.

[0021] The data of the predicted electricity consumption trend are arranged in time series, and the electricity consumption data at each time point are graded and labeled according to the set electricity consumption classification standard. According to the result of the classification labeling, a graded electricity consumption curve is output, and each curve represents the electricity consumption trend of the electricity consumption level;

[0022] Collect the forecasted meteorological data of the predetermined forecast time zone, combine it with the historical power generation data, and output the forecasted power generation trend of the power generation unit;

[0023] Collect meteorological data for the predetermined forecast time zone, including wind speed, solar radiation intensity, cloud cover, temperature, and wave height.

[0024] As a preferred solution of the coordinated control method of the island microgrid with multi-type energy complementarity described in the present invention, wherein: the energy coordinated control of the island microgrid based on the energy coordinated control scheme includes activating a power generation prediction model, including a wind power prediction model based on wind speed, a photovoltaic power generation prediction based on solar radiation intensity, and a wave power generation prediction based on wave height and wave period;

[0025] Based on historical power generation data and corresponding meteorological data, various power generation forecasting models are trained and model parameters are adjusted to improve forecasting accuracy;

[0026] Using the wind power prediction model, input the wind speed data for future periods to generate the predicted power generation curve of the floating wind power system;

[0027] Using the photovoltaic power generation prediction model, input the solar radiation intensity, temperature and cloud cover data in the future period to generate the predicted power generation curve of the photovoltaic power generation system;

[0028] Using the wave energy power generation prediction model, input the wave height and wave period data in the future period to generate the predicted power generation curve of the wave energy power generation system;

[0029] Integrate the predicted power generation curves of various power generation systems;

[0030] The wind power prediction model is constructed as follows:

[0031]

[0032] Where, v represents the wind speed, v cut-in Indicates the starting wind speed of the wind turbine, v rated Indicates the rated wind speed of the wind turbine, v cut-out represents the shutdown wind speed of the wind turbine, η(v) is the efficiency coefficient at wind speed v, and represents the efficiency change of the wind turbine at different wind speeds, C p is the power coefficient, which indicates the wind energy utilization rate of the wind turbine, ρ(v) indicates the air density at wind speed v, ρ0 indicates the air density at sea level, h indicates the altitude, H indicates the atmospheric pressure height, P ratedIndicates the rated power of the wind turbine;

[0033] The photovoltaic power generation prediction model is constructed as follows:

[0034] P pv (G,T,θ,α)=G·A·η pv (θ)·[1-β(T c -T ref )]·cos(α)

[0035] η pv (θ)=η0(1-k θ (θ-θ opt ) 2 )

[0036]

[0037] Where G represents the solar radiation intensity, T represents the ambient temperature, θ represents the inclination angle of the photovoltaic module, α represents the inclination angle of the photovoltaic module and the incident angle of the sun's rays, and η pv (θ) represents the efficiency of the photovoltaic module at an angle θ, η0 represents the basic efficiency of the photovoltaic module, k θ represents the angular influence coefficient, θ opt represents the optimal angle of the photovoltaic module, β represents the temperature coefficient of the photovoltaic module, T c Indicates the operating temperature of the photovoltaic module, T a Indicates the operating temperature of the photovoltaic module, T a represents the ambient temperature, NOCT represents the nominal operating temperature of the photovoltaic module, which is 45°C, and v ref Indicates the reference wind speed, which is 1m / s;

[0038] The wave energy generation prediction matrix model is constructed as follows:

[0039]

[0040] Among them, P w (H,T) represents the output power matrix of the wave energy generation system at different time points and locations. H represents the wave height matrix, which is an n×m matrix, where n is the number of time points, m is the number of locations, and H s represents the effective wave height matrix, T represents the energy period matrix, represents the Hadamard product, η is the wave energy conversion efficiency matrix, which represents the efficiency of converting wave energy into electrical energy, ρ represents the seawater density, and g represents the acceleration of gravity.

[0041] As a preferred solution of the coordinated control method of the island microgrid with multi-type energy complementarity described in the present invention, wherein: the energy coordinated control of the island microgrid based on the energy coordinated control scheme includes aligning the predicted power consumption trend and the predicted power generation trend;

[0042] Based on multiple predicted power generation curves and multiple graded power consumption curves, energy coordination control analysis is performed to generate energy coordination control solutions;

[0043] Based on the energy coordination control scheme, energy coordination control of island microgrid is carried out;

[0044] Align the predicted electricity consumption trend and the predicted power generation trend, so that the electricity consumption and power generation data at the same time point can be directly compared and analyzed, and the predicted electricity consumption and predicted power generation at each time point are compared to output the supply and demand differences;

[0045] When the predicted electricity consumption is greater than the predicted power generation, priority is given to reducing non-essential loads to maintain a balance between supply and demand;

[0046] When the predicted power generation is greater than the predicted power consumption, adjust the power generation plan and reduce power generation;

[0047] According to the energy coordinated control scheme, configure the parameters of the microgrid control system, including the operating instructions of the power generation equipment, energy storage system and load management system.

[0048] As a preferred solution of the coordinated control method of the island microgrid with multi-type energy complementarity described in the present invention, wherein: the energy coordinated control of the island microgrid based on the energy coordinated control scheme includes aligning the predicted power consumption trend, the predicted power generation trend, generating the predicted energy storage trend, and the predicted energy storage trend flag has positive and negative directions;

[0049] Generate energy storage solutions based on predicted energy storage trends and combined with energy coordination control solutions;

[0050] Perform energy storage control of the energy storage unit according to the energy storage plan;

[0051] Align the predicted electricity consumption trend and the predicted power generation trend, so that the electricity consumption and power generation data at the same time point can be compared and analyzed. At each time point, the energy storage demand is output, which is the predicted power generation minus the predicted electricity consumption;

[0052] When the energy storage demand is positive, it indicates the existence of electrical energy storage, which is a positive value;

[0053] When the energy storage demand is negative, it means that electric energy needs to be extracted from the energy storage system, which is a negative value;

[0054] Based on the results of energy storage demand, the energy storage trend is marked and the predicted energy storage trend is generated;

[0055] Based on the positive data in the energy storage trend, a charging plan is formulated, including charging time period and charging power;

[0056] According to the negative data in the energy storage trend, formulate a discharge plan, including the discharge time period and discharge power;

[0057] Combine the energy storage plan with the energy coordination control plan to generate an energy storage plan;

[0058] According to the energy storage scheme, configure the operating parameters of the energy storage system, including the charging and discharging time periods and power settings, and perform charging and discharging operations;

[0059] Collecting data in a preset time interval, when the predicted energy storage trend is positive within the preset time interval, generating an energy distribution instruction;

[0060] Based on the power distribution instruction, distribute power to the external power grid;

[0061] According to the operation characteristics and management requirements of the island microgrid, a preset time interval is determined, and a sliding check is performed on the predicted energy storage trend data within the preset time interval for any 6 hours, 12 hours, or 24 hours to determine whether the energy storage trend within the preset time interval is all positive. If so, it means that the system continues to have excess power within the time period, and an energy allocation instruction is generated;

[0062] In a predetermined time interval, according to the power distribution instructions, the electric energy is transmitted to the external power grid through the microgrid control system;

[0063] Based on the predicted power generation curve and graded power consumption curve, energy coordination control analysis is carried out to generate energy coordination control scheme;

[0064] When the predicted power consumption trend is greater than the predicted power generation trend, load reduction is performed based on multiple graded power consumption curves to generate a power consumption coordination control plan;

[0065] Add the electricity consumption coordination control scheme to the energy coordination control scheme;

[0066] Compare the predicted power consumption trend and the predicted power generation trend at each time point, identify the time period when power consumption is greater than power generation, output the supply and demand difference at each time point, combine the graded power consumption curve, determine the priority of each type of power load, and give priority to reducing low-priority loads;

[0067] Reduce low-priority loads. If the balance demand cannot be met after the reduction of low-priority loads, reduce medium-priority loads.

[0068] According to the load reduction strategy, formulate a power consumption coordination control plan to clarify the reduction amount and execution time of various loads;

[0069] When the predicted power consumption trend is less than the predicted power generation trend, power generation scheduling is performed based on the predicted power generation curve to generate a power generation coordination control plan;

[0070] Adding the power generation coordination control scheme to the energy coordination control scheme;

[0071] Compare the predicted electricity consumption trend and the predicted power generation trend at each time point, identify the time period when the power consumption is less than the power generation, output the supply and demand difference at each time point, and adjust the operating status and output power of various power generation equipment according to the supply and demand difference to reduce the power generation;

[0072] Determine the dispatching priority of various power generation equipment, formulate detailed power generation coordination control plan according to the power generation dispatching strategy, and clarify the dispatching plan of various power generation equipment and the charging plan of energy storage system;

[0073] Construct an island microgrid simulation model;

[0074] The energy coordination control scheme is simulated through the island microgrid simulation model to generate a simulation data set;

[0075] Conduct energy coordination control evaluation on the simulation data set and generate energy coordination control evaluation coefficients;

[0076] Obtaining a preset energy coordination control evaluation coefficient threshold, and determining whether the energy coordination control evaluation coefficient meets the preset energy coordination control evaluation coefficient threshold;

[0077] If satisfied, a call instruction is generated, and based on the call instruction, the energy coordination control scheme is called to perform energy coordination control of the island microgrid.

[0078] As a preferred solution of the coordinated control method of the island microgrid with multi-type energy complementarity described in the present invention, wherein: the simulation evaluation by the simulation tool includes using the simulation tool to establish floating wind power, photovoltaic power generation, and wave power generation models, and set operating parameters;

[0079] Build models of electrical equipment and set power consumption patterns and demand characteristics;

[0080] Build a model of the microgrid control system, including load management, generation scheduling, energy storage control, and power distribution control logic;

[0081] Integrate the models of each unit into a unified island microgrid simulation model to ensure that the modules can work together;

[0082] Run the island microgrid simulation model in the simulation tool and execute the energy coordination control plan. During the simulation process, continuously collect the operation data of each unit, including power generation, power consumption, energy storage status, and load reduction, generate the system operation data at different time points, and integrate and output the simulation data set;

[0083] According to the goal of energy coordinated control, select evaluation indicators, output the evaluation values ​​at each time point according to the set evaluation indicators, perform weighted summation on each evaluation indicator, and output the comprehensive energy coordinated control evaluation coefficient;

[0084] According to the system performance objectives and management requirements, the energy coordination control evaluation coefficient threshold is set, and the energy coordination control evaluation coefficient is compared with the set energy coordination control evaluation coefficient threshold. If the evaluation coefficient is greater than or equal to the preset threshold, it means that the system performance meets the requirements; otherwise, the system performance does not meet expectations;

[0085] When the evaluation coefficient is greater than or equal to a preset threshold, a call instruction is generated to start and execute the energy coordination control scheme.

[0086] Another object of the present invention is to provide an island microgrid coordinated control system with multi-type energy complementarity, which can perform energy coordinated control of the island microgrid through an energy coordinated control scheme, solving the problem of poor power supply stability in current energy coordinated control methods.

[0087] As a preferred solution of the multi-type energy complementary island microgrid coordinated control system described in the present invention, it includes: a data acquisition and prediction module, an energy coordination control module, and a simulation and evaluation module; the path planning module is used to collect the island microgrid structure and historical data, and determine the predetermined prediction time zone; the energy coordination control module is used to generate an energy coordination control scheme to coordinate the energy storage system; the simulation and evaluation module is used for simulation and data acquisition.

[0088] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a step of a coordinated control method for an island microgrid with complementary multi-type energy sources.

[0089] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a coordinated control method for an island microgrid with complementary multi-type energy sources.

[0090] Beneficial effects of the present invention: The multi-type energy complementary island microgrid coordinated control method provided by the present invention collects historical data analysis of the island microgrid structure and the predetermined prediction time zone, improves the accuracy and consistency of the data analysis, and provides a reliable data basis for subsequent energy coordinated control. Different electricity consumption levels are set according to the actual electricity consumption and management needs of the island, and the data is arranged in time series and graded and marked to generate graded electricity consumption curves, thereby improving the reliability and efficiency of power supply. The predicted meteorological data of the predetermined prediction time zone is collected to improve the accuracy of power generation prediction and ensure the stable operation of the power generation system under different meteorological conditions. The wind power prediction model based on wind speed, the photovoltaic power generation prediction model based on solar radiation intensity, and the wave power generation prediction model based on wave height and wave period are used to perform power generation prediction, improve the foresight and accuracy of energy management, align the predicted electricity consumption trend and the predicted power generation trend, perform energy coordinated control analysis, generate an energy coordinated control plan, optimize energy utilization through the adjustment of the energy storage system, and improve the resilience and reliability of the system. The present invention achieves better results in terms of power supply reliability, accuracy of power generation prediction and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0092] Figure 1 An overall flow chart of a coordinated control method for an island microgrid with complementary multi-type energy sources provided in the first embodiment of the present invention.

[0093] Figure 2 A flowchart of a coordinated control method for an island microgrid with complementary multi-type energy sources is provided for the first embodiment of the present invention.

[0094] Figure 3 A schematic diagram of the energy storage control process of a coordinated control method for an island microgrid with complementary multi-type energies provided in the first embodiment of the present invention.

[0095] Figure 4 An overall flow chart of a coordinated control system of an island microgrid with complementary multi-type energy sources provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0096] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0097] Example 1, reference Figure 1-Figure 3 , is an embodiment of the present invention, and provides a coordinated control method for an island microgrid with multi-type energy complementarity, comprising:

[0098] S1: Collect historical data analysis of island microgrid structure and scheduled forecast time zones.

[0099] Furthermore, an island microgrid structure is obtained, wherein the island microgrid structure includes a power generation unit and a power consumption unit, wherein the power generation unit includes multiple types of power generation systems;

[0100] Determine the overall architecture of the island microgrid, including power generation units and power consumption units. The power generation unit is a wind, solar, wave and storage system based on floating wind power, including various types of power generation systems, such as floating wind power systems, photovoltaic power generation systems, wave power generation systems, energy storage systems, etc. Among them, the floating wind power system is one of the main power generation systems on the island. It is a wind turbine installed on a floating platform, which uses offshore wind energy around the island to generate electricity; the wind, solar, wave and storage system is a power generation system that comprehensively utilizes wind energy, solar energy, wave energy and energy storage technology. By integrating multiple renewable energy sources and energy storage systems, it realizes efficient energy utilization and stable power supply. The power consumption unit includes various types of electrical equipment and loads on the island, such as various residential, commercial, and industrial loads.

[0101] Obtain a predetermined forecast time zone, and retrieve historical power generation data and historical power consumption data based on the predetermined forecast time zone as a constraint; perform trend analysis on the historical power consumption data, and generate a forecast power consumption trend of the power consumption unit based on the trend analysis result;

[0102] According to the management needs of the island microgrid, determine the time range of the forecast, such as daily hourly forecast, weekly day forecast, monthly weekly forecast, etc., and determine the scheduled forecast time zone. From the data recording system of the power generation unit, retrieve the historical power generation data of the corresponding historical time zone of the scheduled forecast time zone. These data include the power generation data records of floating wind power, photovoltaic power generation, wave power generation and energy storage systems. From the monitoring system or smart meter of the power consumption unit, retrieve the historical power consumption data of the corresponding historical time zone of the scheduled forecast time zone. These data include power consumption data records of different types of loads.

[0103] Standardize historical electricity consumption data to eliminate the impact of different data sources and magnitudes, facilitate unified analysis, and extract key features from standardized historical data, such as daily, weekly, and monthly electricity consumption patterns, holiday effects, and the impact of climate change on electricity consumption. Use time series analysis methods to analyze historical electricity consumption data, identify electricity consumption patterns and seasonal trends, and generate predicted electricity consumption trends for electricity consumption units. Time series analysis is a statistical method that analyzes time series data, that is, numerical data recorded in chronological order, to identify patterns and trends in the data and make predictions.

[0104] Performing electricity consumption classification identification on the predicted electricity consumption trend, and obtaining a plurality of classified electricity consumption curves according to the electricity consumption classification identification results;

[0105] Define electricity usage classification standards. Specifically, set different electricity usage levels based on the actual electricity usage and management needs of the island. For example, set different electricity usage levels based on load type, such as residential, commercial, and industrial, such as critical loads, important loads, and general loads. Each electricity usage level has a corresponding electricity priority.

[0106] The data for predicting electricity consumption trends are arranged in time series. The electricity consumption data at each time point is classified and labeled according to the set electricity consumption classification standards. Based on the results of the classification and labeling, multiple classified electricity consumption curves are generated. Each curve represents the electricity consumption trend of a power consumption level. For example, critical load electricity consumption curves, important load electricity consumption curves and general load electricity consumption curves can be generated.

[0107] Acquire the forecasted meteorological data of the predetermined forecast time zone, and generate the forecasted power generation trend of the power generation unit in combination with the historical power generation data, wherein the forecasted power generation trend includes a plurality of forecasted power generation curves of the multi-type power generation system;

[0108] Obtain meteorological data for the predetermined forecast time zone from the meteorological agency, including wind speed, solar radiation intensity, cloud cover, temperature, wave height, etc. Activate power generation prediction models, including wind power prediction models based on wind speed, such as wind speed power curve model, photovoltaic power generation prediction based on solar radiation intensity, such as photovoltaic power curve model, wave power generation prediction based on wave height and wave period, etc. Based on historical power generation data and corresponding meteorological data, train various power generation prediction models and adjust model parameters to improve prediction accuracy.

[0109] S2: Energy coordination control of island microgrid based on energy coordination control scheme.

[0110] Furthermore, using the wind power prediction model, inputting the wind speed data in the future period, generating the predicted power generation curve of the floating wind power system; using the photovoltaic power generation prediction model, inputting the solar radiation intensity, temperature and cloud cover data in the future period, generating the predicted power generation curve of the photovoltaic power generation system; using the wave power generation prediction model, inputting the wave height and wave cycle data in the future period, generating the predicted power generation curve of the wave power generation system. Integrate the predicted power generation curves of various power generation systems together to form a comprehensive predicted power generation trend.

[0111] The predicted electricity consumption trend and the predicted power generation trend are aligned, and based on the multiple predicted power generation curves and the multiple graded electricity consumption curves, energy coordination control analysis is performed to generate an energy coordination control scheme; based on the energy coordination control scheme, energy coordination control of the island microgrid is performed.

[0112] Align the predicted electricity consumption trend and the predicted power generation trend so that the electricity consumption and power generation data at the same time point can be directly compared and analyzed. Compare the predicted electricity consumption and predicted power generation at each time point to calculate the difference between supply and demand. When the predicted electricity consumption is greater than the predicted power generation, give priority to reducing unnecessary loads to maintain a balance between supply and demand; when the predicted power generation is greater than the predicted electricity consumption, adjust the power generation plan to reduce unnecessary power generation. Combining the above strategies, formulate a detailed energy coordination control plan.

[0113] According to the energy coordination control scheme, configure the parameters of the microgrid control system, including the specific operating instructions of the power generation equipment, energy storage system and load management system. Specifically, according to the control scheme, implement load reduction to ensure that the supply and demand are balanced during the peak period of electricity consumption; or adjust the output power of the power generation equipment to ensure that the power generation matches the power consumption. Through the above steps, the energy coordination control of the island microgrid can be effectively carried out to improve the overall operation efficiency and stability of the system.

[0114] It should be noted that the wind power prediction model is constructed as follows:

[0115]

[0116] Where, v represents the wind speed, v cut-in Indicates the starting wind speed of the wind turbine, v rated Indicates the rated wind speed of the wind turbine, v cut-out represents the shutdown wind speed of the wind turbine, η(v) is the efficiency coefficient at wind speed v, and represents the efficiency change of the wind turbine at different wind speeds, C p is the power coefficient, which indicates the wind energy utilization rate of the wind turbine, ρ(v) indicates the air density at wind speed v, ρ0 indicates the air density at sea level, h indicates the altitude, H indicates the atmospheric pressure height, P rated Indicates the rated power of the wind turbine;

[0117] The photovoltaic power generation prediction model is constructed as follows:

[0118] P pv (G,T,θ,α)=G·A·η pv (θ)·[1-β(T c -T ref )]·cos(α)

[0119] η pv (θ)=η0(1-k θ (θ-θ opt ) 2 )

[0120]

[0121] Where G represents the solar radiation intensity, T represents the ambient temperature, θ represents the inclination angle of the photovoltaic module, α represents the inclination angle of the photovoltaic module and the incident angle of the sun's rays, and η pv (θ) represents the efficiency of the photovoltaic module at an angle θ, η0 represents the basic efficiency of the photovoltaic module, k θ represents the angular influence coefficient, θ opt represents the optimal angle of the photovoltaic module, β represents the temperature coefficient of the photovoltaic module, T c Indicates the operating temperature of the photovoltaic module, T a Indicates the operating temperature of the photovoltaic module, T a represents the ambient temperature, NOCT represents the nominal operating temperature of the photovoltaic module, which is 45°C, and v ref Indicates the reference wind speed, which is 1m / s;

[0122] The wave energy generation prediction matrix model is constructed as follows:

[0123]

[0124] Among them, P w (H,T) represents the output power matrix of the wave energy generation system at different time points and locations. H represents the wave height matrix, which is an n×m matrix, where n is the number of time points, m is the number of locations, and H s represents the effective wave height matrix, T represents the energy period matrix, represents the Hadamard product, η is the wave energy conversion efficiency matrix, which represents the efficiency of converting wave energy into electrical energy, ρ represents the seawater density, and g represents the acceleration of gravity.

[0125] It should also be noted that the predicted electricity consumption trend and the predicted power generation trend are aligned to generate a predicted energy storage trend, wherein the predicted energy storage trend is marked with a positive and negative direction;

[0126] Based on the predicted energy storage trend and in combination with the energy coordination control scheme, an energy storage scheme is generated;

[0127] The energy storage unit is controlled according to the energy storage scheme.

[0128] Align the predicted electricity consumption trend and the predicted power generation trend so that the electricity consumption and power generation data at the same time point can be directly compared and analyzed. At each time point, calculate the energy storage demand, that is, the predicted power generation minus the predicted power consumption. When the energy storage demand is positive, it means that there is excess electricity to be stored, which is a positive value; when the energy storage demand is negative, it means that electricity needs to be extracted from the energy storage system, which is a negative value. According to the calculation results of the energy storage demand, the energy storage trend is marked to generate a predicted energy storage trend.

[0129] According to the positive data in the energy storage trend, a charging plan is formulated, including the specific charging time period and charging power; according to the negative data in the energy storage trend, a discharge plan is formulated, including the specific discharge time period and discharge power. The energy storage plan is combined with the energy coordination control plan to generate an energy storage plan to ensure the supply and demand balance and optimal operation of the overall system.

[0130] According to the energy storage plan, configure the operating parameters of the energy storage system, including the charging and discharging time periods, power settings, etc., and perform specific charging and discharging operations to ensure that the system operates in an efficient and stable state.

[0131] Furthermore, the method further comprises:

[0132] Acquire a preset time interval, and when the predicted energy storage trend is positive within the preset time interval, generate an electric energy distribution instruction;

[0133] Based on the electric energy distribution instruction, electric energy is distributed to the external power grid.

[0134] According to the operating characteristics and management requirements of the island microgrid, a preset time interval is determined, such as any 6 hours, 12 hours, 24 hours, etc., and a sliding check is performed on the predicted energy storage trend data within the preset time interval to determine whether the energy storage trends within the preset time interval are all positive. If so, it means that the system continues to have excess electricity during the time period, and an energy distribution instruction is generated.

[0135] Within a predetermined time period, according to the power distribution instructions, the microgrid control system will transmit excess electricity to the external power grid, such as islands or coastal areas with weak power supply capacity around the islands, to maximize economic benefits.

[0136] Furthermore, the method of performing energy coordination control analysis based on the multiple predicted power generation curves and the multiple graded power consumption curves to generate an energy coordination control scheme includes:

[0137] When the predicted power consumption trend is greater than the predicted power generation trend, load reduction is performed based on the multiple graded power consumption curves to generate a power consumption coordination control plan;

[0138] The electricity consumption coordination control scheme is added to the energy coordination control scheme.

[0139] Compare the predicted power consumption trend and the predicted power generation trend at each time point, identify the time period when power consumption is greater than power generation, calculate the difference between supply and demand at each time point, and determine the priority of various power loads in combination with the graded power consumption curve, and give priority to reducing low-priority loads. Specifically, first reduce low-priority loads, such as some commercial lighting and non-critical industrial equipment. If the balance demand cannot be met after the low-priority load reduction, further reduce medium-priority loads, such as some household appliances and office equipment, to ensure system stability. According to the load reduction strategy, formulate a detailed power consumption coordination control plan to clarify the reduction amount and specific execution time of various loads.

[0140] Furthermore, the method of performing energy coordination control analysis based on the multiple predicted power generation curves and the multiple graded power consumption curves to generate an energy coordination control scheme includes:

[0141] When the predicted power consumption trend is less than the predicted power generation trend, performing power generation scheduling based on the multiple predicted power generation curves to generate a power generation coordination control plan;

[0142] The power generation coordination control scheme is added to the energy coordination control scheme.

[0143] Compare the predicted power consumption trend and the predicted power generation trend at each time point, identify the time period when power consumption is less than power generation, calculate the difference between supply and demand at each time point, and adjust the operating status and output power of various power generation equipment according to the difference between supply and demand to reduce excess power generation. Specifically, determine the scheduling priority of various power generation equipment, and give priority to power generation equipment with high energy utilization and low power generation cost. According to the power generation scheduling strategy, formulate a detailed power generation coordination control plan, clarify the scheduling plan of various power generation equipment and the charging plan of the energy storage system.

[0144] Furthermore, the energy coordination control scheme is generated, and then, further includes:

[0145] Construct an island microgrid simulation model;

[0146] Performing simulation of the energy coordination control scheme through the island microgrid simulation model to generate a simulation data set;

[0147] Performing energy coordination control evaluation on the simulation data set to generate energy coordination control evaluation coefficients;

[0148] Obtaining a preset energy coordination control evaluation coefficient threshold, and determining whether the energy coordination control evaluation coefficient meets the preset energy coordination control evaluation coefficient threshold;

[0149] If the conditions are met, a calling instruction is generated, and based on the calling instruction, the energy coordination control scheme is called to perform energy coordination control of the island microgrid.

[0150] S3: Perform simulation evaluation through simulation tools.

[0151] Furthermore, simulation tools such as MATLAB / Simulink are used to build models of various types of power generation systems such as floating wind power, photovoltaic power generation, and wave power generation, and set their operating parameters; build models of various types of power-consuming equipment, set power consumption patterns and demand characteristics; and build models of microgrid control systems, including control logic such as load management, power generation scheduling, energy storage control, and power distribution. The models of each unit are integrated into a unified island microgrid simulation model to ensure that each module can work together.

[0152] Run the island microgrid simulation model in the simulation tool and execute the energy coordination control plan. During the simulation process, continuously collect the operating data of each unit, including power generation, power consumption, energy storage status, load reduction, etc., generate the system's operating data at different time points, and integrate them to obtain the simulation data set.

[0153] According to the goal of energy coordinated control, select appropriate evaluation indicators, such as power supply continuity, resource utilization, system stability, economic benefits, etc. According to the set evaluation indicators, calculate the evaluation value at each time point, perform weighted summation on each evaluation indicator, and generate a comprehensive energy coordinated control evaluation coefficient to reflect the operating effect of the overall system.

[0154] According to the system performance objectives and management requirements, the energy coordination control evaluation coefficient threshold is set, and the energy coordination control evaluation coefficient is compared with the set energy coordination control evaluation coefficient threshold. If the evaluation coefficient is greater than or equal to the preset threshold, it means that the system performance meets the requirements; otherwise, the system performance does not meet expectations. When the evaluation coefficient is greater than or equal to the preset threshold, a call instruction is generated to start and execute the energy coordination control plan.

[0155] It should be noted that if it is not satisfied, an optimization instruction is generated;

[0156] The energy coordination control scheme is optimized according to the optimization instruction.

[0157] When the energy coordination control evaluation coefficient does not reach the preset threshold, a detailed analysis is required to determine the reasons for the non-satisfaction, which may include insufficient power generation, excessive power consumption, low efficiency of the energy storage system, etc. Through detailed analysis of the evaluation data, the specific links and problem points of insufficient system performance are identified. Based on the analysis results, the specific content of the optimization instructions is determined, including the system parameters that need to be optimized, the direction of control strategy adjustment, resource allocation adjustment, etc.

[0158] According to the optimization instructions, adjust the key parameters in the control system, such as the operating parameters of the power generation equipment, the charging and discharging strategies of the energy storage system, the load reduction plan, etc., so as to reformulate or adjust the energy coordination control strategy and obtain the optimized control solution.

[0159] Furthermore, the method of performing energy coordination control evaluation on the simulation data set to generate an energy coordination control evaluation coefficient includes:

[0160] Performing power supply continuity assessment based on the simulation data set to generate a power supply continuity assessment coefficient;

[0161] Perform resource utilization evaluation based on the simulation data set to generate a resource utilization evaluation coefficient;

[0162] The power supply continuity assessment coefficient and the resource utilization assessment coefficient are weighted and summed to generate the energy coordination control assessment coefficient.

[0163] Specific indicators for power supply continuity assessment are set, such as the percentage of power supply time, the number of power supply interruptions, the duration of power supply interruptions, etc. Data related to power supply continuity are extracted from the simulation data set, such as the power supply status in each time period, power supply interruption events, etc. Evaluation indicators such as the percentage of power supply time, the number of power supply interruptions, and the duration of power supply interruptions are calculated based on the extracted data. The weighted summation method is used to weight each indicator to obtain the power supply continuity assessment coefficient.

[0164] Specific indicators for resource utilization evaluation are set, such as power generation equipment utilization, energy storage system utilization, energy conversion efficiency, etc. Data related to resource utilization are extracted from the simulation data set, such as the actual power generation of each power generation equipment, the usage of the energy storage system, the energy conversion process, etc. Evaluation indicators such as power generation equipment utilization, energy storage system utilization and energy conversion efficiency are calculated based on the extracted data. The weighted summation method is used to weight each indicator to obtain the resource utilization evaluation coefficient.

[0165] According to the system performance objectives and management requirements, the weights of the power supply continuity assessment coefficient and the resource utilization assessment coefficient are set. The weight values ​​should reflect the importance of each indicator to the overall performance of the system. Based on the weights, the power supply continuity assessment coefficient and the resource utilization assessment coefficient are weighted and summed to calculate the comprehensive energy coordination control assessment coefficient.

[0166] Example 2, an embodiment of the present invention, provides a coordinated control method for an island microgrid with complementary energy sources of multiple types. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0167] First, the experiment was divided into an experimental group and a control group. The experimental group adopted the method of the present invention, and the control group adopted the existing technology.

[0168] The island microgrid structure used in the experiment includes floating wind power, photovoltaic power generation and wave power generation systems, as well as different types of electricity consumption units (residential, commercial, industrial). Collect historical power generation and power consumption data of each power generation unit and power consumption unit in the island microgrid structure, and the scheduled prediction time zone is the past 24 months. Collect historical data on wind speed, solar radiation intensity, cloud cover, temperature and wave height. Standardize the historical power consumption data to eliminate the influence of different data sources and magnitudes and extract key features. Use time series analysis methods to identify patterns and seasonal trends in historical data and generate predicted power consumption trends. Activate power generation prediction models, including wind power, photovoltaic power generation and wave power generation prediction models, input meteorological data for future time periods, and generate predicted power generation curves for various power generation systems.

[0169] Retrieve historical power generation data from the data recording system of the power generation unit, retrieve historical power consumption data from the monitoring system of the power consumption unit, standardize these data, and extract key features. Use time series analysis methods to analyze historical power consumption data, identify power consumption patterns and seasonal trends, and generate predicted power consumption trends for power consumption units. Based on historical power generation data and corresponding meteorological data, train wind power, photovoltaic power generation, and wave power generation prediction models, and adjust model parameters to improve prediction accuracy. Use the wind power prediction model to input wind speed data for future periods to generate a predicted power generation curve for the floating wind power system; use the photovoltaic power generation prediction model to input solar radiation intensity, temperature, and cloud cover data for future periods to generate a predicted power generation curve for the photovoltaic power generation system; use the wave power generation prediction model to input wave height and wave period data for future periods to generate a predicted power generation curve for the wave power generation system. Integrate the predicted power generation curves of various power generation systems to form comprehensive power generation prediction data.

[0170] Based on the predicted power consumption trend and the predicted power generation trend, energy coordination control analysis is performed to generate energy coordination control solutions, including load reduction strategies and power generation scheduling plans. Configure the parameters of the microgrid control system, including the operating instructions of the power generation equipment, energy storage system and load management system, and implement load reduction and power generation scheduling. According to the predicted energy storage trend, a charging and discharging plan is formulated, the operating parameters of the energy storage system are configured, and specific charging and discharging operations are performed to ensure that the system operates in an efficient and stable state.

[0171] Use simulation tools to build floating wind power, photovoltaic power generation and wave power generation models, set operating parameters, build models of power equipment and microgrid control systems, and integrate the models of each unit into a unified island microgrid simulation model.

[0172] Run the simulation model in the simulation tool, execute the energy coordination control plan, continuously collect the operation data of each unit, generate the operation data of the system at different time points, and integrate the output simulation data set.

[0173] According to the goal of energy coordinated control, the evaluation indicators are selected, the evaluation values ​​at each time point are output, the weighted sum of the evaluation indicators is performed, and the comprehensive energy coordinated control evaluation coefficient is output.

[0174] Table 1 Experimental data table

[0175]

[0176] The error between the predicted power generation and the actual power generation in the experimental group was small, with an average error of about 2.5%. The error between the predicted power generation and the actual power generation in the control group was large, with an average error of about 8.3%. The difference between the power consumption of the experimental group and the predicted power generation and the actual power generation was small, with an average difference of about 1.8%. The difference between the power consumption of the control group and the predicted power generation and the actual power generation was large, with an average difference of about 6.1%. The power supply of the experimental group at different time points was relatively stable with small fluctuations, while the power supply of the control group fluctuated greatly, with obvious peaks and valleys.

[0177] In summary, the present invention achieves better results in terms of power supply reliability, power generation prediction accuracy and efficiency.

[0178] Example 3, reference Figure 4 , which is an embodiment of the present invention, provides a multi-type energy complementary island microgrid coordinated control system, including a data acquisition and prediction module, an energy coordination control module, and a simulation and evaluation module.

[0179] The path planning module is used to collect the island microgrid structure and historical data and determine the predetermined prediction time zone. The energy coordination control module is used to generate energy coordination control solutions to coordinate the energy storage system. The simulation and evaluation module is used for simulation and data collection.

[0180] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0181] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0182] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0183] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0184] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A coordinated control method for island microgrids with multi-type energy complementarity, characterized in that: include: Collect historical data analysis of island microgrid structure and scheduled forecast time zones; Energy coordination control of island microgrid based on energy coordination control scheme; Simulation evaluation is performed through simulation tools.

2. The coordinated control method for island microgrid with multi-type energy complementarity as claimed in claim 1, characterized in that: The collecting of island microgrid structures and the historical data analysis of the predetermined forecast time zones includes collecting island microgrid structures; The island microgrid structure includes power generation units and power consumption units; The power generation unit includes multiple types of power generation systems; Determine the overall architecture of the island microgrid, including power generation units and power consumption units; Collect the scheduled forecast time zone, and retrieve the historical power generation data and historical power consumption data based on the scheduled forecast time zone; Conduct trend analysis on historical electricity consumption data and generate predicted electricity consumption trends for electricity consumption units based on trend analysis results; Determine the forecast time range based on the management requirements of the island microgrid; Retrieving historical power generation data of the historical time zone of the predetermined forecast time zone from the data recording system of the power generation unit; Retrieving historical power consumption data of a historical time zone corresponding to a predetermined forecast time zone from a monitoring system of the power consumption unit; Standardize historical electricity consumption data to eliminate the impact of different data sources and magnitudes, and extract key features from standardized historical data; Use time series analysis methods to analyze historical electricity consumption data, identify electricity consumption patterns and seasonal trends, and generate predicted electricity consumption trends for electricity consumption units; Time series analysis analyzes time series data, numerical data recorded in chronological order, to identify patterns and trends in the data and make predictions.

3. The coordinated control method for island microgrid with multi-type energy complementarity as claimed in claim 2, characterized in that: The collecting of historical data of the island microgrid structure and the predetermined forecast time zone for analysis includes classifying the predicted power consumption trend and obtaining a plurality of graded power consumption curves according to the power consumption classification results; Define electricity classification standards, set different electricity levels according to the actual electricity consumption and management needs of the island, and set the electricity levels of critical loads, important loads, and general loads according to the load type, such as residential, commercial, and industrial. Each electricity level has a corresponding electricity priority. The data of the predicted electricity consumption trend are arranged in time series, and the electricity consumption data at each time point are graded and labeled according to the set electricity consumption classification standard. According to the result of the classification labeling, a graded electricity consumption curve is output, and each curve represents the electricity consumption trend of the electricity consumption level; Collect the forecasted meteorological data of the predetermined forecast time zone, combine it with the historical power generation data, and output the forecasted power generation trend of the power generation unit; Collect meteorological data for the predetermined forecast time zone, including wind speed, solar radiation intensity, cloud cover, temperature, and wave height.

4. The coordinated control method for island microgrid with multi-type energy complementarity as claimed in claim 3 is characterized by: The energy coordination control of the island microgrid based on the energy coordination control scheme includes activating a power generation prediction model, including a wind power prediction model based on wind speed, a photovoltaic power generation prediction based on solar radiation intensity, and a wave power generation prediction based on wave height and wave period; Based on historical power generation data and corresponding meteorological data, various power generation forecasting models are trained and model parameters are adjusted to improve forecasting accuracy; Using the wind power prediction model, input the wind speed data for future periods to generate the predicted power generation curve of the floating wind power system; Using the photovoltaic power generation prediction model, input the solar radiation intensity, temperature and cloud cover data in the future period to generate the predicted power generation curve of the photovoltaic power generation system; Using the wave energy power generation prediction model, input the wave height and wave period data in the future period to generate the predicted power generation curve of the wave energy power generation system; Integrate the predicted power generation curves of various power generation systems; The wind power prediction model is constructed as follows: Where, v represents the wind speed, v cut-in Indicates the starting wind speed of the wind turbine, v rated Indicates the rated wind speed of the wind turbine, v cut-out represents the shutdown wind speed of the wind turbine, η(v) is the efficiency coefficient at wind speed v, and represents the efficiency change of the wind turbine at different wind speeds, C p is the power coefficient, which indicates the wind energy utilization rate of the wind turbine, ρ(v) indicates the air density at wind speed v, ρ0 indicates the air density at sea level, h indicates the altitude, H indicates the atmospheric pressure height, P rated Indicates the rated power of the wind turbine; The photovoltaic power generation prediction model is constructed as follows: P pv (G,T,θ,α)=G·A·η pv (θ)·[1-β(T c -T ref )]·cos(α) Where G represents the solar radiation intensity, T represents the ambient temperature, θ represents the inclination angle of the photovoltaic module, α represents the inclination angle of the photovoltaic module and the incident angle of the sun's rays, and η pv (θ) represents the efficiency of the photovoltaic module at an angle θ, η0 represents the basic efficiency of the photovoltaic module, k θ represents the angular influence coefficient, θ opt represents the optimal angle of the photovoltaic module, β represents the temperature coefficient of the photovoltaic module, T c Indicates the operating temperature of the photovoltaic module, T a Indicates the operating temperature of the photovoltaic module, T a represents the ambient temperature, NOCT represents the nominal operating temperature of the photovoltaic module, which is 45°C, and v ref Indicates the reference wind speed, which is 1m / s; The wave energy generation prediction matrix model is constructed as follows: Among them, P w (H,T) represents the output power matrix of the wave energy generation system at different time points and locations. H represents the wave height matrix, which is an n×m matrix, where n is the number of time points, m is the number of locations, and H s represents the effective wave height matrix, T represents the energy period matrix, ° represents the Hadamard product, η is the wave energy conversion efficiency matrix, which represents the efficiency of converting wave energy into electrical energy, ρ represents the seawater density, and g represents the acceleration of gravity.

5. The coordinated control method for island microgrid with multi-type energy complementarity as claimed in claim 4 is characterized by: The energy coordination control of the island microgrid based on the energy coordination control scheme includes aligning the predicted power consumption trend and predicting the power generation trend; Based on multiple predicted power generation curves and multiple graded power consumption curves, energy coordination control analysis is performed to generate energy coordination control solutions; Based on the energy coordination control scheme, energy coordination control of island microgrid is carried out; Align the predicted electricity consumption trend and the predicted power generation trend, so that the electricity consumption and power generation data at the same time point can be directly compared and analyzed, and the predicted electricity consumption and predicted power generation at each time point are compared to output the supply and demand differences; When the predicted electricity consumption is greater than the predicted power generation, priority is given to reducing non-essential loads to maintain a balance between supply and demand; When the predicted power generation is greater than the predicted power consumption, adjust the power generation plan and reduce power generation; According to the energy coordinated control scheme, configure the parameters of the microgrid control system, including the operating instructions of the power generation equipment, energy storage system and load management system.

6. The coordinated control method for island microgrid with multi-type energy complementarity as claimed in claim 5, characterized in that: The energy coordination control of the island microgrid based on the energy coordination control scheme includes aligning the predicted power consumption trend and the predicted power generation trend, generating the predicted energy storage trend, and predicting that the energy storage trend flag has a positive or negative direction; Generate energy storage solutions based on predicted energy storage trends and combined with energy coordination control solutions; Perform energy storage control of the energy storage unit according to the energy storage plan; Align the predicted electricity consumption trend and the predicted power generation trend, so that the electricity consumption and power generation data at the same time point can be compared and analyzed. At each time point, the energy storage demand is output, which is the predicted power generation minus the predicted electricity consumption; When the energy storage demand is positive, it indicates the existence of electrical energy storage, which is a positive value; When the energy storage demand is negative, it means that electric energy needs to be extracted from the energy storage system, which is a negative value; Based on the results of energy storage demand, the energy storage trend is marked and the predicted energy storage trend is generated; Based on the positive data in the energy storage trend, a charging plan is formulated, including charging time period and charging power; According to the negative data in the energy storage trend, formulate a discharge plan, including the discharge time period and discharge power; Combine the energy storage plan with the energy coordination control plan to generate an energy storage plan; According to the energy storage scheme, configure the operating parameters of the energy storage system, including the charging and discharging time periods and power settings, and perform charging and discharging operations; Collecting data in a preset time interval, when the predicted energy storage trend is positive within the preset time interval, generating an energy distribution instruction; Based on the power distribution instruction, distribute power to the external power grid; According to the operation characteristics and management requirements of the island microgrid, a preset time interval is determined, and a sliding check is performed on the predicted energy storage trend data within the preset time interval for any 6 hours, 12 hours, or 24 hours to determine whether the energy storage trend within the preset time interval is all positive. If so, it means that the system continues to have excess power within the time period, and an energy allocation instruction is generated; In a predetermined time interval, according to the power distribution instructions, the electric energy is transmitted to the external power grid through the microgrid control system; Based on the predicted power generation curve and graded power consumption curve, energy coordination control analysis is carried out to generate energy coordination control scheme; When the predicted power consumption trend is greater than the predicted power generation trend, load reduction is performed based on multiple graded power consumption curves to generate a power consumption coordination control plan; Add the electricity consumption coordination control scheme to the energy coordination control scheme; Compare the predicted power consumption trend and the predicted power generation trend at each time point, identify the time period when power consumption is greater than power generation, output the supply and demand difference at each time point, combine the graded power consumption curve, determine the priority of each type of power load, and give priority to reducing low-priority loads; Reduce low-priority loads. If the balance demand cannot be met after the reduction of low-priority loads, reduce medium-priority loads. According to the load reduction strategy, formulate a power consumption coordination control plan to clarify the reduction amount and execution time of various loads; When the predicted power consumption trend is less than the predicted power generation trend, power generation scheduling is performed based on the predicted power generation curve to generate a power generation coordination control plan; Adding the power generation coordination control scheme to the energy coordination control scheme; Compare the predicted electricity consumption trend and the predicted power generation trend at each time point, identify the time period when the power consumption is less than the power generation, output the supply and demand difference at each time point, and adjust the operating status and output power of various power generation equipment according to the supply and demand difference to reduce the power generation; Determine the dispatching priority of various power generation equipment, formulate detailed power generation coordination control plan according to the power generation dispatching strategy, and clarify the dispatching plan of various power generation equipment and the charging plan of energy storage system; Construct an island microgrid simulation model; The energy coordination control scheme is simulated through the island microgrid simulation model to generate a simulation data set; Conduct energy coordination control evaluation on the simulation data set and generate energy coordination control evaluation coefficients; Obtaining a preset energy coordination control evaluation coefficient threshold, and determining whether the energy coordination control evaluation coefficient meets the preset energy coordination control evaluation coefficient threshold; If satisfied, a call instruction is generated, and based on the call instruction, the energy coordination control scheme is called to perform energy coordination control of the island microgrid.

7. The coordinated control method for island microgrid with multi-type energy complementarity as claimed in claim 6, characterized in that: The simulation evaluation by the simulation tool includes using the simulation tool to establish floating wind power, photovoltaic power generation, and wave power generation models, and set operating parameters; Build models of electrical equipment and set power consumption patterns and demand characteristics; Build a model of the microgrid control system, including load management, generation scheduling, energy storage control, and power distribution control logic; Integrate the models of each unit into a unified island microgrid simulation model to ensure that the modules can work together; Run the island microgrid simulation model in the simulation tool and execute the energy coordination control plan. During the simulation process, continuously collect the operation data of each unit, including power generation, power consumption, energy storage status, and load reduction, generate the system operation data at different time points, and integrate and output the simulation data set; According to the goal of energy coordinated control, select evaluation indicators, output the evaluation values ​​at each time point according to the set evaluation indicators, perform weighted summation on each evaluation indicator, and output the comprehensive energy coordinated control evaluation coefficient; According to the system performance objectives and management requirements, the energy coordination control evaluation coefficient threshold is set, and the energy coordination control evaluation coefficient is compared with the set energy coordination control evaluation coefficient threshold. If the evaluation coefficient is greater than or equal to the preset threshold, it means that the system performance meets the requirements; otherwise, the system performance does not meet expectations; When the evaluation coefficient is greater than or equal to a preset threshold, a call instruction is generated to start and execute the energy coordination control scheme.

8. A system using the coordinated control method of island microgrid with multi-type energy complementation as claimed in any one of claims 1 to 7, characterized in that: Including data collection and prediction module, energy coordination control module, simulation and evaluation module; The path planning module is used to collect island microgrid structure and historical data and determine the predetermined prediction time zone; The energy coordination control module is used to generate an energy coordination control scheme to coordinate the energy storage system; The simulation and evaluation module is used for simulation and data collection.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the island microgrid coordinated control method for multi-type energy complementarity described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the coordinated control method of an island microgrid with multi-type energy complementarity according to any one of claims 1 to 7 are implemented.

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