Micro-grid energy scheduling method and system based on energy characteristics, and storage medium

Abstract

The invention belongs to the field of micro-grid dispatching, and particularly relates to a micro-grid energy dispatching method and system based on energy characteristics and a storage medium, and the method comprises the steps: firstly, preprocessing the running state, weather, gas consumption and load demand data of a micro-grid, constructing a micro-grid balance equation, predicting the load demand, and secondly, combining the state of the micro-grid with the predicted load, 3, according to the compensation demand, the wind-light output prediction value and the energy cost, determining the output sequence of various types of energy through an optimal output configuration model; and finally, the priority is fed back to a micro-grid control subsystem, and the energy device is scheduled in real time by using an enhanced scheduling control model to ensure that the micro-grid is kept balanced in real time. According to the invention, by introducing the optimal scheduling strategy based on the energy characteristics, the utilization efficiency of the multi-energy system is improved, the stability and reliability of the micro-grid are enhanced, and energy waste and pollution emission are reduced.

Description

Technical Field

[0001] The present invention belongs to the field of microgrid dispatching, and in particular to a microgrid energy dispatching method, system and storage medium based on energy characteristics. Background Art

[0002] As an important part of modern power systems, microgrids usually integrate multiple energy sources, such as solar energy, wind energy, energy storage devices, and gas-fired power generation, to make up for the lack of corresponding power generation in the main power generation energy in the microgrid. These energy sources each have unique power generation characteristics. For example, solar energy is significantly affected by day and night changes, wind energy is greatly affected by wind speed changes, and gas-fired power generation is stable, but it is highly polluting and costly. The differences in these energy characteristics increase the complexity of energy scheduling. How to effectively use the characteristics of different energy sources to optimize energy supply and maximize system efficiency and stability has become a key issue in the current field of microgrid energy scheduling.

[0003] For example, the patent with publication number CN113300400A discloses a distributed microgrid dispatching method. First, the structural composition of the microgrid and the economic and environmental demands of each unit are analyzed. Secondly, a microgrid energy management model is established based on the equal cost micro-increase rate criterion, including the objective function and constraints of microgrid energy management.

[0004] For example, the patent with authorization announcement number CN117318056B discloses a method and device for virtual power plants to participate in auxiliary service regulation based on interconnected microgrids. The method includes: considering the operating characteristics of distributed generator sets, photovoltaic systems and energy storage systems, with the goal of minimizing the total operating cost on the day before, establishing a virtual power plant day-ahead scheduling model to obtain the time-sharing benchmark power consumption and adjustable capacity of the virtual power plant; the power grid issues a regulation signal to the virtual power plant based on the real-time operating conditions, and the virtual power plant distributes the regulation signal to the microgrid with the goal of minimizing the real-time total electricity consumption cost; based on the distributed regulation signal, the microgrid establishes a real-time energy rolling optimization model for the microgrid with the goal of minimizing the total operating cost in the prediction time domain, including the regulation deviation assessment cost, the distributed generator set power generation operating cost and the energy storage system operating cost, to obtain the optimal scheduling plan for the distributed generator sets and the energy storage system.

[0005] The above existing technologies have the following problems: most of the existing technologies only consider the balance of grid scheduling, but do not provide effective solutions to the scheduling configuration problems of different types of supplementary energy under different working environments and electricity demands. For this reason, the present invention provides a microgrid energy scheduling method, system and storage medium based on energy characteristics. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention proposes a microgrid energy scheduling method, system and storage medium based on energy characteristics. The method first pre-processes the microgrid operating status, weather, gas consumption and load demand data, constructs a microgrid balance equation and predicts the load demand. Secondly, the compensation demand is determined by combining the microgrid status and the predicted load, and the wind-solar output is predicted based on the weather. Thirdly, according to the compensation demand, the predicted wind-solar output and the energy cost, the output sequence of each type of energy is determined through the optimal output configuration model; finally, the priority is fed back to the microgrid control subsystem, and the energy device is scheduled in real time using the enhanced scheduling control model to ensure the balance of the microgrid while minimizing the total output cost; the present invention improves the utilization efficiency of the multi-energy system, enhances the stability and reliability of the microgrid, and reduces energy waste and pollution emissions by introducing an optimized scheduling strategy based on energy characteristics.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The microgrid energy dispatching method based on energy characteristics includes the following steps:

[0009] S1. Obtain and preprocess historical microgrid operation status data, weather status data, gas consumption data and load demand data, use the preprocessed microgrid operation status data to build a microgrid balance equation, and use the historical load demand data through a demand forecasting model to obtain the predicted load demand;

[0010] S2. According to the microgrid operation status data, the microgrid balance equation and the predicted load demand, the microgrid compensation demand is obtained. At the same time, the obtained weather status data and the corresponding solar and wind power generation data are used to obtain the wind-solar output prediction value under different weather conditions through the constructed wind-solar output prediction model;

[0011] S3. Based on the obtained microgrid compensation demand, wind-solar output forecast value and the output cost corresponding to wind-solar-fuel-storage, the output priority of different types of energy is obtained through the constructed optimal output configuration model;

[0012] S4. Feedback the output priorities of different types of energy into the enhanced dispatching control model built into the microgrid control subsystem. According to the real-time microgrid compensation demand and the output priorities of different types of energy, dispatch the corresponding power generation devices to generate electricity so that the microgrid can maintain real-time balance.

[0013] Specifically, the microgrid balance equation is:

[0014] ;

[0015] in, represents the load demand data at the current time t, Indicates the supply power value corresponding to the main output energy at the current time t, represents the power generation value corresponding to the wind power generation device configured in the microgrid at the current time t, It represents the power generation value corresponding to the solar power generation device configured in the microgrid at the current time t, It represents the power generation value corresponding to the gas power generation device configured in the microgrid at the current time t, The power value of the remaining power of the energy storage device configured in the microgrid at the current time t, is the microgrid compensation demand corresponding to the current time t.

[0016] Specifically, the wind-solar output prediction model includes a wind output sub-model and a solar output sub-model; the steps of constructing the wind output sub-model include:

[0017] A1. Set the feasible interval of wind power level corresponding to wind power generation according to the attribute parameters of the wind power generation device , the power generation per unit time corresponding to the wind force level in the feasible interval of the wind force level is obtained, and the obtained data is preprocessed, where Indicates the minimum wind speed level corresponding to the start of the wind power generation device. It is the maximum safe wind force level corresponding to the operation of the wind power generation device;

[0018] A2. Use the pre-processed wind force level and the corresponding power generation per unit time to construct a wind force level-power curve. According to the wind force level-power curve, obtain the wind power supply-demand state change interval, specifically:

[0019] ;

[0020] in, Indicates the wind force level corresponding to the current time t, It represents the difference between the wind power generation at the current time t and the microgrid compensation demand corresponding to the current time t, and A represents the satisfaction Wind force level range; B means meeting Wind force level range;

[0021] A3. Obtain the current electricity price and the cost of operating the wind power generation device per unit time at each wind power level. Use the current electricity price, power generation per unit time and cost per unit time to obtain the wind power level range under different wind power generation profit deviations. , specifically:

[0022] ;

[0023] in, Indicates the current wind power profit deviation value, It indicates the average power of wind power generation per unit time under the same wind force level. represents the electricity price corresponding to the current time t, It represents the consumption cost of the wind power generation device under the f-th wind force level per unit time, and They represent the lower and upper limits of the wind power level range corresponding to the positive wind power generation profit deviation;

[0024] A4. Align the variable with wind force level as the horizontal axis and obtain By mapping the double Y-axis line graph to the coordinate axis corresponding to the wind power level-power curve graph, the wind level-wind power generation profit deviation curve and the simultaneous satisfaction are obtained. The optimal wind power generation level range ,in represents the intersection symbol, and & represents the "and" symbol;

[0025] A5. Obtain electricity prices and wind power levels in real time to update the wind level-wind power generation profit deviation curve and the optimal level power generation range in real time, and obtain the wind power generation output power value at the current moment from the updated double Y-axis line chart containing the wind level-power curve and the wind level-wind power generation profit deviation curve. and wind power level ranges under different power generation profit deviations.

[0026] Specifically, the steps of constructing the solar power output sub-model include:

[0027] B1. Obtain solar radiation intensity and corresponding power generation data, and process the acquired data in segments with two-hour intervals;

[0028] B2. Based on the segmented radiation intensity and the corresponding power generation, a radiation intensity-power fluctuation curve is constructed. At the same time, the radiation intensity and the corresponding power generation are used to obtain a radiation intensity-power fitting function through a support vector machine, and the fitting function is mapped to the radiation intensity-power fluctuation curve;

[0029] B3, according to the radiation intensity-power fitting function and the radiation intensity-power fluctuation curve, through the power state change interval acquisition process in A2, the radiation supply-demand intervals D and E corresponding to the radiation intensity-power are obtained, where D means that the radiation supply-demand intervals D and E corresponding to the radiation intensity-power are satisfied. The corresponding radiation intensity interval, E means satisfying When , the corresponding radiation intensity interval; It represents the difference between the solar power generation power at the current time t and the compensation demand of the microgrid at the current time t;

[0030] B4. According to the power value at the corresponding moment on the radiation intensity-power fluctuation curve and the corresponding consumption cost of the solar power generation device per unit time, the same process as A3-A5 is used to obtain the current solar power generation output power value, the radiation intensity level range under different solar power generation profit deviations, the radiation intensity-solar power generation profit deviation curve and the corresponding optimal solar power generation radiation intensity range. ,in is the profit deviation value of solar power generation at the current moment, where the radiation intensity range under the profit deviation of solar power generation is specifically:

[0031] ;

[0032] in, Indicates the profit deviation value of solar power generation at the current moment, It represents the average power of solar power generation per unit time under the same radiation intensity. represents the radiation intensity corresponding to the current time t, It represents the cost of solar power generation device operation per unit time. Indicates the minimum radiation intensity required to start the solar power generation device. express The corresponding radiation intensity;

[0033] B5. Based on the same process of B3 and B4, obtain the corresponding output power per unit time of gas and energy storage device and and power generation profit deviation , Indicates the power value corresponding to the output of the gas power generation process per unit time. Indicates the power value output per unit time by the energy storage device. It indicates the profit deviation value corresponding to the gas power generation process per unit time.

[0034] Specifically, the steps of obtaining the output priorities of different types of energy include:

[0035] C1. According to the microgrid compensation demand, wind level and radiation intensity obtained at the current moment, if the wind level and radiation intensity at the current moment are both in the corresponding optimal wind power generation level interval and optimal solar power generation radiation intensity interval, then according to the obtained wind level-power curve and wind level-wind power generation profit deviation curve and radiation intensity-power fluctuation curve and radiation intensity-solar power generation profit deviation curve, obtain the duration of the optimal wind power generation level interval and the optimal solar power generation radiation intensity interval corresponding to the wind power generation and solar power generation at the current moment. and ,in Indicates the duration of the optimal wind power generation level interval. Indicates the duration of the optimal solar power generation radiation intensity interval;

[0036] C2. If , only wind power generation equipment is selected for supplementary power generation, and the wind power generation meets the requirements according to the wind level-power curve. The corresponding time point , and according to the radiation intensity-power fluctuation curve, the arrival The power generation interval state of solar energy at the moment, if the interval state of solar energy at the current moment satisfies , then stop the wind power generation device and directly call on the solar power generation device for supplementary power generation;

[0037] C3. If the interval state corresponding to the solar energy at the current moment satisfies , then when arriving At this moment, the solar power generation device is directly dispatched to make up for the power shortage of the wind power generation device at the current moment, until the wind power generation device meets the demand again. When the solar power generation device is stopped.

[0038] Specifically, the step of obtaining the output priorities of different types of energy also includes:

[0039] C4, if satisfied When the microgrid compensation demand is met, the corresponding output power of the energy storage device and the gas-fired power generation is judged. , then stop the wind power generation device and solar power generation device, and directly dispatch the energy storage device to make up for the missing electricity;

[0040] C5. If or When the wind power generation device is running low, the solar power generation device is stopped and the energy storage device is directly dispatched to make up for the missing electricity of the wind power generation device;

[0041] C6. If and , it is determined whether the gas power generation at the current moment meets If the conditions are met, the wind and solar power generation devices are stopped, and the gas power generation devices are directly dispatched to supplement the microgrid compensation demand;

[0042] C7, if not satisfied, then make a second judgment, if the gas power generation device meets and But when you are not satisfied , stop the solar power generation equipment and dispatch the gas power generation equipment to make up for the missing electricity of the wind power generation equipment.

[0043] Specifically, the step of obtaining the output priorities of different types of energy also includes:

[0044] C8. When the gas-fired power generation device does not meet , then the output power status of wind power, solar energy and energy storage devices is determined according to the C2-C5 process, and single or hybrid energy generation devices are dispatched to make up for the missing compensation demand of the microgrid. If the output power of wind power, solar energy and energy storage devices at the same time cannot meet the compensation demand of the microgrid at the current moment, the gas-fired generation device is dispatched to make up for the missing power of wind power, solar energy and energy storage devices;

[0045] C9. When the sum of the output power of wind power, solar power, energy storage device and gas power generation device after the gas power generation device is turned on is greater than the compensation demand of the microgrid, then according to the current moment The combination is carried out to minimize the sum of the profit deviations after the combination while meeting the compensation demand of the microgrid, and the corresponding power generation devices that are not involved in the combination are shut down.

[0046] Specifically, the step of obtaining the output priorities of different types of energy also includes:

[0047] C10, if , then according to the same process of C2-C9, determine the dispatch priority corresponding to each type of power generation device;

[0048] C11. If , then according to the corresponding wind power generation and solar power generation at the current moment and For comparison, if Then the wind power generation device is dispatched first, otherwise the solar power generation device is dispatched first, and the dispatch priority of the remaining power generation devices is determined according to the same process of C2-C9;

[0049] C12. If only wind power generation is in the optimal wind power generation level range or solar power generation is in the optimal solar power generation radiation intensity range at the current moment, then select the energy corresponding to the optimal range to supplement the microgrid compensation demand, and repeat the same process of C2-C9 to dispatch the power generation devices corresponding to the remaining energy types;

[0050] C13. When neither wind power generation nor solar power generation is within the corresponding optimal wind power generation level range and optimal solar power generation radiation intensity range, the corresponding wind power generation, solar power generation and gas power generation The combination is carried out to minimize the sum of the profit deviations after the combination while meeting the compensation demand of the microgrid. If the sum of the power output of wind power generation, solar power generation and gas power generation is less than the compensation demand of the microgrid, the energy storage device is dispatched to make up for the missing power of wind power generation, solar power generation and gas power generation, so that the microgrid satisfies the microgrid balance equation in real time.

[0051] A microgrid energy dispatching system based on energy characteristics, including: data processing module, output analysis module, configuration optimization module and energy dispatching module;

[0052] A data processing module is used to obtain microgrid operation status data, weather status data, gas consumption data and load demand data, and pre-process the obtained data;

[0053] The output analysis module includes a balance equation unit, a load demand prediction unit, and a power prediction unit;

[0054] A balance equation unit, used for constructing a microgrid balance equation using preprocessed microgrid operation status data;

[0055] The load demand prediction unit is used to obtain the predicted load demand forecast value through the demand prediction model according to the historical load demand data, and obtain the microgrid compensation demand corresponding to the current moment by using the constructed microgrid balance equation;

[0056] The power prediction unit is used to obtain the wind-solar output prediction value under different weather conditions by using the acquired weather status data and the corresponding solar and wind power generation data and constructing a wind-solar output prediction model;

[0057] Configuration optimization module, based on the microgrid compensation demand, wind-solar output forecast value and output cost of different energy types, obtains the output priority of different types of energy through the optimal output configuration model;

[0058] The energy scheduling module is used to schedule the corresponding power generation device to generate electricity based on the obtained compensation demand and the output priority of different types of energy through the built-in enhanced scheduling control model so that the microgrid can maintain real-time balance.

[0059] A computer-readable storage medium, characterized in that computer instructions are stored thereon, and when the computer instructions are executed, a microgrid energy scheduling method based on energy characteristics is executed.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] In view of the deficiencies in the prior art, the present invention not only constructs a microgrid balance equation by comprehensively analyzing historical microgrid operating status, weather conditions, gas consumption and load demand data, but also obtains the predicted load demand using a demand forecasting model, wherein the wind-solar output forecasting model is used to predict the output values ​​of wind energy and solar energy under different weather conditions, and an optimal output configuration model is constructed in combination with the output cost of wind-solar-fuel-storage, thereby determining the output priority of different types of energy; finally, the output priority is fed back to the enhanced scheduling control model of the microgrid control subsystem, and the power generation device is scheduled according to the real-time compensation demand and output priority, thereby achieving real-time balance and minimum output cost of the microgrid; in summary, the present invention provides an effective solution for the scheduling configuration of supplementary energy under different working environments and electricity demands, thereby improving the operating efficiency and economy of the microgrid. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a flow chart of a microgrid energy scheduling method based on energy characteristics according to Embodiment 1 of the present invention;

[0063] Figure 2 This is a module diagram of a microgrid energy dispatching system based on energy characteristics according to Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0064] Example 1

[0065] See also Figure 1 , an embodiment provided by the present invention: a microgrid energy scheduling method based on energy characteristics, comprising the steps of:

[0066] S1. Obtain and preprocess historical microgrid operation status data, weather status data, gas consumption data and load demand data, use the preprocessed microgrid operation status data to build a microgrid balance equation, and use the historical load demand data through a demand forecasting model to obtain the predicted load demand;

[0067] Furthermore, the microgrid balance equation in this embodiment is specifically:

[0068] ;

[0069] in, represents the load demand data at the current time t, Indicates the supply power value corresponding to the main output energy at the current time t. The main output energy here corresponds to the supply of the main power grid to the load demand, such as the external power grid; represents the power generation value corresponding to the wind power generation device configured in the microgrid at the current time t, It represents the power generation value corresponding to the solar power generation device configured in the microgrid at the current time t, It represents the power generation value corresponding to the gas power generation device configured in the microgrid at the current time t, The power value of the remaining power of the energy storage device configured in the microgrid at the current time t.

[0070] Furthermore, the demand forecasting model in this embodiment is constructed by a random forest algorithm;

[0071] The specific steps to obtain the predicted load demand include:

[0072] S101, obtaining historical load demand data with a time length of one year, and preprocessing the obtained data;

[0073] S102, obtaining a load demand change rate according to the acquired historical load demand data, and inputting the obtained load demand change rate into a clustering algorithm to obtain months with the same demand change trend, and using the average value of the load demand change rate corresponding to the months with the same demand change trend as the seasonal factor of the months with the same demand change trend;

[0074] S103, inputting the acquired historical load demand data and the acquired seasonal factors into the demand forecasting model for training, and acquiring a trained demand forecasting model;

[0075] S104. Obtain the historical load demand data corresponding to the 15 days before the forecast day, and input the obtained historical load demand data into the trained demand forecasting model to obtain the load demand corresponding to the next 12 hours.

[0076] S2. According to the microgrid operation status data, the microgrid balance equation and the predicted load demand, the microgrid compensation demand is obtained. At the same time, the obtained weather status data and the corresponding solar and wind power generation data are used to obtain the wind-solar output prediction value under different weather conditions through the constructed wind-solar output prediction model;

[0077] Furthermore, the microgrid compensation demand in this embodiment is , is the microgrid compensation demand corresponding to the current time t;

[0078] Furthermore, in this embodiment, the wind-solar output prediction model includes a wind output sub-model and a solar output sub-model; wherein the steps of constructing the wind output sub-model include:

[0079] A1. Set the feasible interval of wind power level corresponding to wind power generation according to the attribute parameters of the wind power generation device , the power generation per unit time corresponding to the wind force level in the feasible interval of the wind force level is obtained, and the obtained data is preprocessed, where Indicates the minimum wind speed level corresponding to the start of the wind power generation device. It is the maximum safe wind force level corresponding to the operation of the wind power generation device;

[0080] Furthermore, the minimum wind speed level corresponding to the start-up of the wind power generation device in this embodiment and the maximum safe wind speed level corresponding to the operation of the wind power generation device are specifically set by those skilled in the art according to the attribute parameters of the corresponding wind power generation device.

[0081] A2. Use the pre-processed wind force level and the corresponding power generation per unit time to construct a wind force level-power curve. According to the wind force level-power curve, obtain the wind power supply-demand state change interval, specifically:

[0082] ;

[0083] in, Indicates the wind force level corresponding to the current time t, It represents the difference between the wind power generation at the current time t and the microgrid compensation demand corresponding to the current time t, and A represents the satisfaction The wind force level interval, that is, the power generation corresponding to the wind force level at the current moment can meet the corresponding microgrid compensation demand at the current moment; B means that it satisfies The wind force level interval; that is, the power generation corresponding to the wind force level at the current moment cannot meet the corresponding microgrid compensation demand at the current moment;

[0084] A3. Obtain the current electricity price and the cost of operating the wind power generation device per unit time at each wind power level. Use the current electricity price, power generation per unit time and cost per unit time to obtain the wind power level range under different wind power generation profit deviations. , specifically:

[0085] ;

[0086] in, Indicates the current wind power profit deviation value, It indicates the average power of wind power generation per unit time under the same wind force level. represents the electricity price corresponding to the current time t, It represents the consumption cost of the wind power generation device under the f-th wind force level per unit time, and They represent the lower and upper limits of the wind power level range corresponding to the positive wind power generation profit deviation; Indicates that it is contained in the symbol;

[0087] A4. Align the variable with wind force level as the horizontal axis and obtain By mapping the double Y-axis line graph to the coordinate axis corresponding to the wind power level-power curve graph, the wind level-wind power generation profit deviation curve and the simultaneous satisfaction are obtained. The optimal wind power generation level range ,in represents the intersection symbol, and & represents the "and" symbol;

[0088] A5. Obtain electricity prices and wind power levels in real time to update the wind level-wind power generation profit deviation curve and the optimal level power generation range in real time, and obtain the wind power generation output power value at the current moment from the updated double Y-axis line chart containing the wind level-power curve and the wind level-wind power generation profit deviation curve. and wind power level ranges under different power generation profit deviations.

[0089] Furthermore, the steps of constructing the solar power output sub-model include:

[0090] B1. Obtain solar radiation intensity and corresponding power generation data, and process the acquired data in segments with two-hour intervals;

[0091] B2. Based on the segmented radiation intensity and the corresponding power generation, a radiation intensity-power fluctuation curve is constructed. At the same time, the radiation intensity and the corresponding power generation are used to obtain a radiation intensity-power fitting function through a support vector machine, and the fitting function is mapped to the radiation intensity-power fluctuation curve;

[0092] B3, according to the radiation intensity-power fitting function and the radiation intensity-power fluctuation curve, through the power state change interval acquisition process in A2, the radiation supply-demand intervals D and E corresponding to the radiation intensity-power are obtained, where D means that the radiation supply-demand intervals D and E corresponding to the radiation intensity-power are satisfied. The corresponding radiation intensity interval, E means satisfying When , the corresponding radiation intensity interval; It represents the difference between the solar power generation power at the current time t and the compensation demand of the microgrid at the current time t;

[0093] B4. According to the power value at the corresponding moment on the radiation intensity-power fluctuation curve and the corresponding consumption cost of the solar power generation device per unit time, the same process as A3-A5 is used to obtain the current solar power generation output power value, the radiation intensity level range under different solar power generation profit deviations, the radiation intensity-solar power generation profit deviation curve and the corresponding optimal solar power generation radiation intensity range. ,in is the profit deviation value of solar power generation at the current moment, where the radiation intensity range under the profit deviation of solar power generation is specifically:

[0094] ;

[0095] in, Indicates the profit deviation value of solar power generation at the current moment, It represents the average power of solar power generation per unit time under the same radiation intensity. represents the radiation intensity corresponding to the current time t, It represents the cost of solar power generation device operation per unit time. Indicates the minimum radiation intensity required to start the solar power generation device. express The corresponding radiation intensity;

[0096] B5. Based on the same process of B3 and B4, obtain the corresponding output power per unit time of gas and energy storage device and and power generation profit deviation , Indicates the power value corresponding to the output of the gas power generation process per unit time. Indicates the power value output per unit time by the energy storage device. It indicates the profit deviation value corresponding to the gas power generation process per unit time;

[0097] The wind output sub-model of this process predefines the optimal operating range of wind power generation by setting the feasible interval of wind power level and combining the attribute parameters of wind power generation device. Secondly, the wind power level-power curve can clearly show the power generation capacity under different wind power levels, and further optimize the power generation strategy through the wind level-wind power generation profit deviation curve to ensure that the economic benefits are maximized while meeting the compensation needs of the microgrid. At the same time, the solar power output sub-model processes the radiation intensity data in segments and uses the support vector machine technology to fit the relationship between radiation intensity and power generation. It can also predict the solar power generation according to the radiation intensity, and determine the optimal power generation plan through profit deviation analysis. In the whole process, by updating parameters such as electricity price, wind power level and radiation intensity in real time, the system can dynamically adjust the power generation strategy to ensure that the most cost-effective energy combination can be found under various conditions. In addition, this method also takes into account the output power and profit deviation of gas and energy storage devices, so that the entire microgrid system can comprehensively consider various energy forms and achieve more flexible and efficient energy scheduling and management, thereby improving the overall operation efficiency and economy of the microgrid.

[0098] S3. Based on the obtained microgrid compensation demand, wind-solar output forecast value and the output cost corresponding to wind-solar-fuel-storage, the output priority of different types of energy is obtained through the constructed optimal output configuration model;

[0099] Furthermore, in this embodiment, the step of obtaining the output priority of different types of energy includes:

[0100] C1. According to the microgrid compensation demand, wind level and radiation intensity obtained at the current moment, if the wind level and radiation intensity at the current moment are both in the corresponding optimal wind power generation level interval and optimal solar power generation radiation intensity interval, then according to the obtained wind level-power curve and wind level-wind power generation profit deviation curve and radiation intensity-power fluctuation curve and radiation intensity-solar power generation profit deviation curve, obtain the duration of the optimal wind power generation level interval and the optimal solar power generation radiation intensity interval corresponding to the wind power generation and solar power generation at the current moment. and ,in Indicates the duration of the optimal wind power generation level interval. Indicates the duration of the optimal solar power generation radiation intensity interval;

[0101] C2. If , only wind power generation equipment is selected for supplementary power generation, and the wind power generation meets the requirements according to the wind level-power curve. The corresponding time point , and according to the radiation intensity-power fluctuation curve, the arrival The power generation interval state of solar energy at the moment, if the interval state of solar energy at the current moment satisfies , then stop the wind power generation device and directly call on the solar power generation device for supplementary power generation;

[0102] C3. If the interval state corresponding to the solar energy at the current moment satisfies , then when arriving At this moment, the solar power generation device is directly dispatched to make up for the power shortage of the wind power generation device at the current moment, until the wind power generation device meets the demand again. When the solar power generation device is stopped;

[0103] C4, if satisfied When the microgrid compensation demand is met, the corresponding output power of the energy storage device and the gas-fired power generation is judged. , then stop the wind power generation device and solar power generation device, and directly dispatch the energy storage device to make up for the missing electricity;

[0104] C5. If or When the wind power generation device is running low, the solar power generation device is stopped and the energy storage device is directly dispatched to make up for the missing electricity of the wind power generation device;

[0105] C6. If and , it is determined whether the gas power generation at the current moment meets If the conditions are met, the wind and solar power generation devices are stopped, and the gas power generation devices are directly dispatched to supplement the microgrid compensation demand;

[0106] C7, if not satisfied, then make a second judgment, if the gas power generation device meets and But when you are not satisfied , stop the solar power generation device and dispatch the gas power generation device to make up for the missing electricity of the wind power generation device;

[0107] C8. When the gas-fired power generation device does not meet , then the output power status of wind power, solar energy and energy storage devices is determined according to the C2-C5 process, and single or mixed energy generation devices are dispatched to make up for the missing compensation demand of the microgrid. If the output power of wind power, solar energy and energy storage devices at the same time cannot meet the compensation demand of the microgrid at the current moment, the gas-fired generation device is dispatched to make up for the missing power of wind power, solar energy and energy storage devices, so that the microgrid can maintain real-time balance;

[0108] C9. When the sum of the output power of wind power, solar power, energy storage device and gas power generation device after the gas power generation device is turned on is greater than the compensation demand of the microgrid, then according to the current moment Combine them to minimize the sum of profit deviations after combination while meeting the compensation demand of microgrid, and shut down the corresponding power generation devices that are not involved in the combination; for example, when the sum of the corresponding power outputs of wind power and gas power generation devices meets the compensation demand of microgrid and the corresponding If the sum is the smallest, the solar power generation device and the energy storage device are turned off;

[0109] C10, if , then according to the same process of C2-C9, the dispatch priority corresponding to each power generation device is determined; that is, only the solar power generation device is selected for supplementary power generation, and the wind power generation is obtained according to the radiation intensity-power curve diagram to meet The corresponding time point , and according to the wind force level-power fluctuation curve, the arrival The power generation interval state corresponding to the wind force level at the moment, if the interval state corresponding to the wind force at the current moment satisfies , then stop the solar power generation device, directly call the wind power generation device for supplementary power generation, and judge and dispatch the remaining power generation devices through the C3-C9 process, so that the microgrid can maintain output balance in real time;

[0110] C11. If , then according to the corresponding wind power generation and solar power generation at the current moment and For comparison, if Then the wind power generation device is dispatched first, otherwise the solar power generation device is dispatched first, and the dispatch priority of the remaining power generation devices is determined according to the same process of C2-C9;

[0111] C12. If only wind power generation is in the optimal wind power generation level range or solar power generation is in the optimal solar power generation radiation intensity range at the current moment, then select the energy corresponding to the optimal range to supplement the microgrid compensation demand, and repeat the same process of C2-C9 to dispatch the power generation devices corresponding to the remaining energy types;

[0112] C13. When neither wind power generation nor solar power generation is within the corresponding optimal wind power generation level range and optimal solar power generation radiation intensity range, the corresponding wind power generation, solar power generation and gas power generation The combination is carried out to minimize the sum of the profit deviations after the combination while meeting the compensation demand of the microgrid. If the sum of the power output of wind power generation, solar power generation and gas power generation is less than the compensation demand of the microgrid, the energy storage device is dispatched to make up for the missing power of wind power generation, solar power generation and gas power generation, so that the microgrid satisfies the microgrid balance equation in real time.

[0113] The process refines the output priority of different types of energy by constructing an optimal output configuration model, thereby achieving an effective response to the compensation demand of the microgrid. The process first determines whether it is in the optimal power generation range based on the wind level and radiation intensity, and decides whether to enable wind or solar power generation devices. When the conditions are met, wind or solar power generation is given priority, and the power generation devices are switched or stopped in time according to the actual situation to ensure the continuity and economy of power supply. For non-optimal power generation conditions, the system intelligently selects the most suitable power generation combination to meet the real-time needs of the microgrid by comprehensively considering the cost-effectiveness ratio of wind, solar, energy storage devices and gas-fired power generation. When gas-fired power generation becomes necessary, the model will further evaluate the total profit deviation between gas-fired power generation and other energy combinations, and select the most cost-effective solution. Ultimately, whether it is the selection of a single or mixed energy power generation solution, it is committed to meeting the compensation demand of the microgrid while achieving the goal of minimizing the overall power generation cost. This method not only optimizes energy utilization efficiency, reduces unnecessary energy waste and pollution emissions caused by gas-fired power generation, but also improves the stability and reliability of microgrid operation, thereby providing users with better quality and more stable power services.

[0114] S4. Feedback the output priorities of different types of energy into the enhanced dispatching control model built into the microgrid control subsystem. According to the real-time microgrid compensation demand and the output priorities of different types of energy, dispatch the corresponding power generation devices to generate electricity so that the microgrid can maintain real-time balance.

[0115] Furthermore, in this embodiment, the output priority of different types of energy is determined according to the scheduling process of the corresponding power generation device in the C1-C13 process; for example, from the C1-C9 process, it can be obtained that the scheduling priority of the wind power generation device is the highest, and the scheduling priority of solar energy, energy storage device and gas device is specifically scheduled according to the corresponding judgment conditions, which will not be repeated here.

[0116] Example 2

[0117] See also Figure 2 , another embodiment provided by the present invention: a microgrid energy dispatching system based on energy characteristics, comprising: a data processing module, an output analysis module, a configuration optimization module and an energy dispatching module;

[0118] A data processing module is used to obtain microgrid operation status data, weather status data, gas consumption data and load demand data, and pre-process the obtained data;

[0119] The output analysis module is used to construct the microgrid balance equation and obtain the load demand forecast value and the wind-solar power generation output forecast value through prediction; the output analysis module includes a balance equation unit, a load demand forecast unit, and a power forecast unit; the balance equation unit is used to construct the microgrid balance equation using the preprocessed microgrid operation status data; the load demand forecast unit is used to obtain the predicted load demand value for the next 12 hours based on the historical load demand data through the demand forecast model, and obtain the microgrid compensation demand corresponding to the current moment using the constructed microgrid balance equation;

[0120] The power prediction unit is used to obtain the wind-solar output prediction value under different weather conditions by using the acquired weather status data and the corresponding solar and wind power generation data and constructing a wind-solar output prediction model;

[0121] Configuration optimization module, based on the microgrid compensation demand, wind-solar output forecast value and output cost of different energy types, obtains the output priority of different types of energy through the optimal output configuration model;

[0122] The energy scheduling module is used to schedule the corresponding power generation devices to generate electricity based on the compensation demand and the output priority of different types of energy through the built-in enhanced scheduling control model so that the microgrid can maintain real-time balance.

[0123] Example 3

[0124] A computer-readable storage medium stores computer instructions, which, when executed, execute a microgrid energy scheduling method based on energy characteristics.

[0125] An electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements a microgrid energy scheduling method based on energy characteristics when executing the computer program.

[0126] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in the field may also change, modify, replace and modify the above-mentioned embodiments without departing from the scope of protection of the purpose of the present invention and the claims, and all of these are within the protection of the present invention.

Claims

1. A microgrid energy dispatching method based on energy characteristics, characterized in that: include: S1. Obtain and preprocess historical microgrid operation status data, weather status data, gas consumption data and load demand data, use the preprocessed microgrid operation status data to build a microgrid balance equation, and use the historical load demand data through a demand forecasting model to obtain the predicted load demand; S2. According to the microgrid operation status data, the microgrid balance equation and the predicted load demand, the microgrid compensation demand is obtained. At the same time, the obtained weather status data and the corresponding solar and wind power generation data are used to obtain the wind-solar output prediction value under different weather conditions through the constructed wind-solar output prediction model; S3. Based on the obtained microgrid compensation demand, wind-solar output forecast value and the output cost corresponding to wind-solar-fuel-storage, the output priority of different types of energy is obtained through the constructed optimal output configuration model; S4. Feedback the output priorities of different types of energy into the enhanced dispatching control model built into the microgrid control subsystem. According to the real-time microgrid compensation demand and the output priorities of different types of energy, dispatch the corresponding power generation devices to generate electricity so that the microgrid can maintain real-time balance.

2. The microgrid energy scheduling method based on energy characteristics according to claim 1, characterized in that: The microgrid balance equation is specifically: ； in, represents the load demand data at the current time t, Indicates the supply power value corresponding to the main output energy at the current time t, represents the power generation value corresponding to the wind power generation device configured in the microgrid at the current time t, It represents the power generation value corresponding to the solar power generation device configured in the microgrid at the current time t, It represents the power generation value corresponding to the gas power generation device configured in the microgrid at the current time t, The power value of the remaining power of the energy storage device configured in the microgrid at the current time t, is the microgrid compensation demand corresponding to the current time t.

3. The microgrid energy scheduling method based on energy characteristics as claimed in claim 2, characterized in that: The wind-solar output prediction model includes a wind output sub-model and a solar output sub-model; the steps of constructing the wind output sub-model include: A1. Set the feasible interval of wind power level corresponding to wind power generation according to the attribute parameters of the wind power generation device , the power generation per unit time corresponding to the wind force level in the feasible interval of the wind force level is obtained, and the obtained data is preprocessed, where Indicates the minimum wind speed level corresponding to the start of the wind power generation device. It is the maximum safe wind force level corresponding to the operation of the wind power generation device; A2. Use the pre-processed wind force level and the corresponding power generation per unit time to construct a wind force level-power curve. According to the wind force level-power curve, obtain the wind power supply-demand state change interval, specifically: ； in, Indicates the wind force level corresponding to the current time t, It represents the difference between the wind power generation at the current time t and the microgrid compensation demand corresponding to the current time t, and A represents the satisfaction Wind force level range; B means meeting Wind force level range; A3. Obtain the current electricity price and the cost of operating the wind power generation device per unit time at each wind power level. Use the current electricity price, power generation per unit time and cost per unit time to obtain the wind power level range under different wind power generation profit deviations. , specifically: ； in, Indicates the current wind power generation profit deviation value, It indicates the average power of wind power generation per unit time under the same wind force level. represents the electricity price corresponding to the current time t, It represents the consumption cost of the wind power generation device under the f-th wind force level per unit time, and They represent the lower and upper limits of the wind power level range corresponding to the positive wind power generation profit deviation; A4. Align the variable with wind force level as the horizontal axis and obtain By mapping the double Y-axis line graph to the coordinate axis corresponding to the wind power level-power curve graph, the wind level-wind power generation profit deviation curve and the simultaneous satisfaction are obtained. The optimal wind power generation level range ,in represents the intersection symbol, and & represents the "and" symbol; A5. Obtain electricity prices and wind power levels in real time to update the wind level-wind power generation profit deviation curve and the optimal level power generation range in real time, and obtain the wind power generation output power value at the current moment from the updated double Y-axis line chart containing the wind level-power curve and the wind level-wind power generation profit deviation curve. and wind power level ranges under different power generation profit deviations.

4. The microgrid energy scheduling method based on energy characteristics as claimed in claim 3, characterized in that: The solar power output sub-model construction steps include: B1. Obtain solar radiation intensity and corresponding power generation data, and process the acquired data in segments of two hours; B2. Based on the segmented radiation intensity and the corresponding power generation, a radiation intensity-power fluctuation curve is constructed. At the same time, the radiation intensity and the corresponding power generation are used to obtain a radiation intensity-power fitting function through a support vector machine, and the fitting function is mapped to the radiation intensity-power fluctuation curve; B3, according to the radiation intensity-power fitting function and the radiation intensity-power fluctuation curve, through the power state change interval acquisition process in A2, the radiation supply-demand intervals D and E corresponding to the radiation intensity-power are obtained, where D means that the radiation supply-demand intervals D and E corresponding to the radiation intensity-power are satisfied. The corresponding radiation intensity interval, E means satisfying When , the corresponding radiation intensity interval; It represents the difference between the solar power generation power at the current time t and the compensation demand of the microgrid at the current time t; B4. According to the power value at the corresponding moment on the radiation intensity-power fluctuation curve and the corresponding consumption cost of the solar power generation device per unit time, the same process as A3-A5 is used to obtain the current solar power generation output power value, the radiation intensity level range under different solar power generation profit deviations, the radiation intensity-solar power generation profit deviation curve and the corresponding optimal solar power generation radiation intensity range. ,in is the profit deviation value of solar power generation at the current moment, where the radiation intensity range under the profit deviation of solar power generation is specifically: ； in, Indicates the profit deviation value of solar power generation at the current moment, It represents the average power of solar power generation per unit time under the same radiation intensity. represents the radiation intensity corresponding to the current time t, It represents the cost of solar power generation device operation per unit time. Indicates the minimum radiation intensity required to start the solar power generation device. express The corresponding radiation intensity when B5. Based on the same process of B3 and B4, obtain the corresponding output power per unit time of gas and energy storage device and and power generation profit deviation , Indicates the output power value corresponding to the gas power generation process per unit time. Indicates the power value output per unit time by the energy storage device. It indicates the profit deviation value corresponding to the gas power generation process per unit time.

5. The microgrid energy scheduling method based on energy characteristics according to claim 4, characterized in that: The step of obtaining the output priorities of different types of energy includes: C1. According to the microgrid compensation demand, wind level and radiation intensity obtained at the current moment, if the wind level and radiation intensity at the current moment are both in the corresponding optimal wind power generation level interval and optimal solar power generation radiation intensity interval, then according to the obtained wind level-power curve and wind level-wind power generation profit deviation curve and radiation intensity-power fluctuation curve and radiation intensity-solar power generation profit deviation curve, obtain the duration of the optimal wind power generation level interval and the optimal solar power generation radiation intensity interval corresponding to the wind power generation and solar power generation at the current moment. and ,in Indicates the duration of the optimal wind power generation level interval. Indicates the duration of the optimal solar power generation radiation intensity interval; C2. If , only wind power generation equipment is selected for supplementary power generation, and the wind power generation meets the requirements according to the wind level-power curve. The corresponding time point , and according to the radiation intensity-power fluctuation curve, the arrival The power generation interval state of solar energy at the moment, if the interval state of solar energy at the current moment satisfies , then stop the wind power generation device and directly call on the solar power generation device for supplementary power generation; C3. If the interval state corresponding to the solar energy at the current moment satisfies , then when arriving At this moment, the solar power generation device is directly dispatched to make up for the power shortage of the wind power generation device at the current moment, until the wind power generation device meets the demand again. When the solar power generation device is stopped.

6. The microgrid energy dispatching method based on energy characteristics according to claim 5, characterized in that: The step of obtaining the output priorities of different types of energy also includes: C4, if satisfied When the microgrid compensation demand is met, the corresponding output power of the energy storage device and the gas-fired power generation is judged. , then stop the wind power generation device and solar power generation device, and directly dispatch the energy storage device to make up for the missing electricity; C5. If and When the wind power generation device is running low, the solar power generation device is stopped and the energy storage device is directly dispatched to make up for the missing electricity of the wind power generation device; C6. If and , it is determined whether the gas power generation at the current moment meets If the conditions are met, the wind and solar power generation devices are stopped, and the gas power generation devices are directly dispatched to supplement the microgrid compensation demand; C7, if not satisfied, then make a second judgment, if the gas power generation device meets and , but not satisfied When the solar power generation device is stopped, the gas power generation device is dispatched to make up for the missing electricity of the wind power generation device.

7. The microgrid energy dispatching method based on energy characteristics according to claim 6, characterized in that: The step of obtaining the output priorities of different types of energy also includes: C8. When the gas-fired power generation device does not meet , then the output power status of wind power, solar energy and energy storage devices is determined according to the C2-C5 process, and single or hybrid energy generation devices are dispatched to make up for the missing compensation demand of the microgrid. If the output power of wind power, solar energy and energy storage devices at the same time cannot meet the compensation demand of the microgrid at the current moment, the gas-fired generation device is dispatched to make up for the missing power of wind power, solar energy and energy storage devices; C9. When the sum of the output power of wind power, solar power, energy storage device and gas power generation device after the gas power generation device is turned on is greater than the compensation demand of the microgrid, then according to the current moment The combination is carried out to minimize the sum of the profit deviations after the combination while meeting the compensation demand of the microgrid, and the corresponding power generation devices that are not involved in the combination are shut down.

8. The microgrid energy dispatching method based on energy characteristics according to claim 7, characterized in that: The step of obtaining the output priorities of different types of energy also includes: C10, if , then according to the same process of C2-C9, determine the dispatch priority corresponding to each type of power generation device; C11. If , then according to the corresponding wind power generation and solar power generation at the current moment and For comparison, if Then the wind power generation device is dispatched first, otherwise the solar power generation device is dispatched first, and the dispatch priority of the remaining power generation devices is determined according to the same process of C2-C9; C12. If only wind power generation is in the optimal wind power generation level range or solar power generation is in the optimal solar power generation radiation intensity range at the current moment, then select the energy corresponding to the optimal range to supplement the microgrid compensation demand, and repeat the same process of C2-C9 to dispatch the power generation devices corresponding to the remaining energy types; C13. When neither wind power generation nor solar power generation is within the corresponding optimal wind power generation level range and optimal solar power generation radiation intensity range, the corresponding wind power generation, solar power generation and gas power generation The combination is carried out to minimize the sum of the profit deviations after the combination while meeting the compensation demand of the microgrid. If the sum of the power output of wind power generation, solar power generation and gas power generation is less than the compensation demand of the microgrid, the energy storage device is dispatched to make up for the missing power of wind power generation, solar power generation and gas power generation, so that the microgrid satisfies the microgrid balance equation in real time.

9. A microgrid energy dispatching system based on energy characteristics, which is used to implement the microgrid energy dispatching method based on energy characteristics as described in any one of claims 1 to 8, characterized in that: include: Data processing module, output analysis module, configuration optimization module and energy scheduling module; The data processing module is used to obtain microgrid operation status data, weather status data, gas consumption data and load demand data, and pre-process the obtained data; The output analysis module includes a balance equation unit, a load demand prediction unit, and a power prediction unit; The balance equation unit is used to construct a microgrid balance equation using the preprocessed microgrid operation status data; The load demand prediction unit is used to obtain a predicted load demand forecast value based on historical load demand data through a demand prediction model, and to obtain a microgrid compensation demand corresponding to the current moment using a constructed microgrid balance equation; The power prediction unit is used to obtain wind-solar output prediction values ​​under different weather conditions by using the acquired weather status data and the corresponding solar and wind power generation data and constructing a wind-solar output prediction model; The configuration optimization module obtains the output priority of different types of energy through the optimal output configuration model according to the microgrid compensation demand, wind-solar output forecast value and output cost of different energy types; The energy scheduling module is used to schedule the corresponding power generation device to generate electricity based on the obtained compensation demand and the output priority of different types of energy through the built-in enhanced scheduling control model so that the microgrid can maintain real-time balance.

10. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the computer instructions are executed, the microgrid energy scheduling method based on energy characteristics described in any one of claims 1-8 is executed.

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