Load management and control method and device for smart city integrated energy system

Abstract

The invention provides a load management and control method for a smart city integrated energy system. The method comprises the following steps: establishing a flexible supply and demand balance model; acquiring historical data of different time scales in a preset time period, and acquiring parameter characteristics and load characteristics of equipment in the integrated energy system; inputting the historical data, the parameter characteristics and the load characteristics into the flexible supply and demand balance model to obtain supply and demand balance analysis results of the user-side integrated energy system at different time scales; the intelligent city comprehensive energy system supply and demand balance analysis can consider multiple time scales and cold / heat / electric coupling of a user side at the same time, and the method is used for verifying the rationality of comprehensive energy system equipment configuration and analyzing and researching the comprehensive regulation and control constraint oriented to supply and demand balance under intelligent city energy interconnection. The method can be used for verifying the rationality of the equipment configuration of the integrated energy system, analyzing and researching the supply-demand balance-oriented integrated regulation and control constraint under the energy interconnection of the smart city, and realizing the optimized supply of energy.

Description

Technical Field

[0001] The present disclosure relates to the technical field of energy systems, and in particular to a load control method and device for a smart city integrated energy system. Background Art

[0002] The integrated energy system coordinates and complements multiple energy resources, deeply integrates "source-grid-load", smoothes the fluctuations of power load in the process of new energy consumption, optimizes multiple energy use forms and cascades the utilization of energy, and the system has a high energy utilization efficiency.

[0003] In existing research on grid planning, operation control, etc., supply and demand balance is mostly used as a constraint condition from the perspective of instantaneous power balance; in existing research on integrated energy systems, the supply and demand balance of cooling / heating / electricity is only considered from the perspective of instantaneous power balance. This method lacks systematicity and integrity, and cannot comprehensively analyze and solve the supply and demand balance problem in the integrated energy system on the user side.

[0004] In summary, there is an urgent need for a method that can be used to analyze the supply and demand balance of cold / heat / electricity coupling at different time scales. Summary of the invention

[0005] The present disclosure provides a load control method and device for a smart city integrated energy system to at least solve the above technical problems existing in the prior art.

[0006] According to a first aspect of the present disclosure, a load control method for a smart city integrated energy system is provided, the method comprising:

[0007] Establish a flexibility supply and demand balance model for the integrated energy system based on flexibility evaluation indicators;

[0008] Obtain historical data of different time scales within a preset time period, as well as parameter characteristics and load characteristics of equipment in the integrated energy system;

[0009] The historical data, parameter characteristics and load characteristics are input into the flexible supply and demand balance model to obtain the supply and demand balance analysis results of the user-side integrated energy system at different time scales.

[0010] In one possible implementation, the flexibility supply and demand balance model includes:

[0011] A supply model is used to calculate the upward and downward flexibility supply capacity of all flexibility regulation resources in the integrated energy system within a certain period of time;

[0012] The transmission model is used to transmit the node flexibility resources to the flexibility demand location through the line according to the preset ratio, so as to realize the transfer of flexibility supply and demand;

[0013] The demand model is used to integrate wind power, photovoltaic power and load to obtain the net load time series fluctuation changes.

[0014] In one possible implementation manner, the historical data includes light intensity data and energy load data at different time scales; and the acquiring of historical data at different time scales within a preset time period includes at least one of the following:

[0015] Acquire light intensity data and energy load data of the first time scale;

[0016] Acquire light intensity data and energy load data of the second time scale;

[0017] Based on the light intensity data and energy load data of the first time scale or the second time scale, obtaining the light intensity data and energy load data within a preset time period;

[0018] Wherein, the first time scale is longer than the second time scale.

[0019] In one possible implementation, when the time scale is the first time scale, the supply and demand balance analysis results of the user-side integrated energy system at different time scales include:

[0020] Obtaining an average light intensity at a first time scale, and calculating a power supply capacity at the first time scale based on the average light intensity;

[0021] Calculate the energy demand for a preset time interval under a first time scale according to the load characteristics; the energy demand includes the energy demand for cold energy, the energy demand for heat energy, the energy demand for electric energy, and the energy demand for cold, heat and electricity;

[0022] Based on the power supply capacity and energy demand at the first time scale, the energy supply and demand balance analysis result of the comprehensive energy system at the first time scale is obtained.

[0023] In one possible implementation, the second time scale includes spring, autumn and winter; when the time scale is the second time scale, the supply and demand balance analysis results of the user-side integrated energy system at different time scales include:

[0024] When the second time scale is spring and autumn, the total power generation and total power consumption of the equipment in the integrated energy system are determined, and the total power generation and total power consumption are compared to obtain the energy supply and demand balance analysis results of the integrated energy system in spring and autumn;

[0025] When the second time scale is winter, the heat production power and heat consumption power of the equipment in the integrated energy system are determined, and the heat production power and heat consumption power are compared to obtain the energy supply and demand balance analysis result of the winter integrated energy system.

[0026] In one possible implementation, it also includes:

[0027] When the energy supply and demand balance analysis result of the integrated energy system is unbalanced, corresponding balancing measures are determined according to the unbalanced phenomenon based on the mapping list.

[0028] In one possible implementation, the equipment in the integrated energy system includes gas energy supply equipment, intermittent power generation equipment, energy conversion equipment and energy storage equipment;

[0029] Among them, the gas energy supply equipment includes gas turbines and gas boilers; the intermittent power generation device includes photovoltaic power generation devices and wind turbines; and the energy conversion equipment includes heat pumps and electric refrigerators.

[0030] In one possible implementation manner, the load characteristic is energy consumption demand.

[0031] In one possible implementation, the flexibility evaluation index includes: an evaluation object, an evaluation dimension, and a spatial dimension;

[0032] Among them, the evaluation objects include flexible supply sources, demand sources and transmission grids; the evaluation dimensions include multi-directional flexibility adjustment capabilities, long and short full-time scales in the time dimension; the spatial dimensions include internal spatial capabilities and cross-regional support capabilities.

[0033] According to a second aspect of the present disclosure, a load control device for a smart city integrated energy system is provided, the device comprising:

[0034] Establish a module for establishing a flexibility supply and demand balance model for an integrated energy system based on flexibility evaluation indicators;

[0035] An acquisition module is used to acquire historical data of different time scales within a preset time period, and to acquire parameter characteristics and load characteristics of equipment in the integrated energy system;

[0036] The analysis module is used to input the historical data, parameter characteristics and load characteristics into the flexible supply and demand balance model to obtain the supply and demand balance analysis results of the user-side integrated energy system at different time scales.

[0037] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0038] at least one processor; and

[0039] a memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the present disclosure.

[0041] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to execute the method described in the present disclosure.

[0042] The load control device of the smart city integrated energy system disclosed in the present invention establishes a flexible supply and demand balance model for the integrated energy system; obtains the supply and demand balance analysis results of the user-side integrated energy system at different time scales by acquiring historical data at different time scales and the parameter characteristics and load characteristics of the equipment in the integrated energy system. The present application can be used to address the deficiencies of the supply and demand balance analysis considering cold / heat / electricity coupling at different time scales; the supply and demand balance analysis of the smart city integrated energy system can simultaneously consider multiple time scales and cold / heat / electricity coupling on the user side, in order to verify the rationality of the equipment configuration of the integrated energy system, analyze and study the comprehensive control constraints for supply and demand balance under the smart city energy interconnection, and realize the optimized supply of energy.

[0043] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 A flow chart of a load control method for a smart city integrated energy system provided by the present invention;

[0046] Figure 2 A schematic diagram of the structure of the smart city integrated energy system provided by the present invention;

[0047] Figure 3 A schematic diagram of a typical daily load curve provided by the present invention;

[0048] Figure 4 A schematic diagram of the seasonal relationship among the total electric load, electric utilization load and pure electric load provided by the present invention;

[0049] Figure 5The solar power generation timing characteristic curve diagram of the photovoltaic power generation equipment provided by the present invention in different seasons and weather conditions;

[0050] Figure 6 A schematic structural diagram of the load control device of the smart city integrated energy system provided by the present invention. DETAILED DESCRIPTION

[0051] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0052] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0053] The user-side integrated energy system is an integrated system involving multiple energy subsystems. It aims to improve energy utilization efficiency and reduce energy consumption and costs by optimizing energy production, transmission, storage and use. It takes the energy demand on the user side as the core and integrates multiple energy subsystems such as electricity, gas, heating, cooling, and hydrogen supply. There are multiple users and multiple energy demands on the user side, so it is necessary to meet the electricity / heat / cold load demands of each user through the transfer of energy within the system. The balance of energy supply and demand means that the power generation, cooling capacity and heating capacity supplied by the system meet the user's demand for the three types of energy: cooling / heating / electricity. Due to seasonal differences, energy usage habits and other factors, different users have their own characteristics in demand for cooling / heating / electricity, and show certain regularity. The operation control of energy supply equipment should meet the energy demand. Since loads and intermittent energy are seasonal, sequential and random, the supply and demand balance analysis of the user-side integrated energy system should be carried out separately from the long time scale considering seasonal characteristics, the medium time scale considering daily regularity, and the short time scale considering random fluctuations. In terms of supply and demand balance, it is not yet complete and systematic. In existing research on power grid planning, operation control, etc., the supply and demand balance is mostly taken as a constraint condition from the perspective of instantaneous power balance; in existing research on integrated energy systems, the supply and demand balance of cold / heat / electricity is also only considered from the perspective of instantaneous power balance.

[0054] The following is an introduction to the load control method and device of the smart city integrated energy system provided by the embodiments of the present application in conjunction with the accompanying drawings.

[0055] like Figure 1 As shown, the embodiment of the present application provides a load control method for a smart city integrated energy system, the method comprising:

[0056] S101, establish a flexibility supply and demand balance model for the integrated energy system based on flexibility evaluation indicators;

[0057] It is understandable that the flexibility supply and demand balance model in this application takes into account all the flexibility adjustment resources in the system to cope with uncertainty, including conventional thermal power units that have undergone flexibility transformation on the power supply side, pumped storage units on the grid side, demand response on the user side, and flexibility evaluation indicators in the energy storage system flexibly distributed in various links of the system. Figure 2 Shown is a schematic diagram of the structure of the smart city integrated energy system.

[0058] In some optional embodiments, the flexibility evaluation index of the present application includes: evaluation object, evaluation dimension and space dimension;

[0059] Among them, the evaluation objects include flexible supply sources, demand sources and transmission grids; the evaluation dimensions include multi-directional flexibility adjustment capabilities, long and short full-time scales in the time dimension; the spatial dimensions include internal spatial capabilities and cross-regional support capabilities.

[0060] The flexibility supply and demand balance model provided in this application includes:

[0061] A supply model is used to calculate the upward and downward flexibility supply capacity of all flexibility regulation resources in the integrated energy system within a certain period of time;

[0062] The transmission model is used to transmit the node flexibility resources to the flexibility demand location through the line according to the preset ratio, so as to realize the transfer of flexibility supply and demand;

[0063] The demand model is used to integrate wind power, photovoltaic power and load to obtain the net load time series fluctuation changes. Figure 3 This is a schematic diagram of a typical daily load curve provided by the present invention.

[0064] S102, obtaining historical data of different time scales within a preset time period, and obtaining parameter characteristics and load characteristics of equipment in the integrated energy system;

[0065] In some embodiments, the historical data includes light intensity data and energy load data at different time scales; and the acquiring of historical data at different time scales within a preset time period includes at least one of the following:

[0066] Acquire light intensity data and energy load data of the first time scale;

[0067] Acquire light intensity data and energy load data of the second time scale;

[0068] Based on the light intensity data and energy load data of the first time scale or the second time scale, obtaining the light intensity data and energy load data within a preset time period;

[0069] Wherein, the first time scale is longer than the second time scale.

[0070] It is understandable that the energy supply and demand balance of the integrated energy system in this application needs to be considered from two different time scales, long and short. The first time scale is a long time scale, and the second time scale is a short time scale. The time period of the long time scale can be set to 1 year, and the energy balance analysis is performed at a time interval of ten days (10 days). The time period of the short time scale can be set to 24 hours and 4 hours respectively. The first period is 24 hours, with a time interval of 1 hour, which is used for day-ahead balance analysis; the second period is 4 hours, with a time interval of 5 minutes or 15 minutes, which is used for intraday balance analysis. The 24-hour supply and demand balance analysis provides a reasonable comprehensive regulation and control operation range of energy equipment for day-ahead scheduling, realizing the economy and reliability of system operation; the 4-hour supply and demand balance analysis provides a reasonable comprehensive regulation and control range of energy equipment for intraday scheduling, ensuring the safety and reliability of system operation. Therefore, with time intervals of 5 minutes, 15 minutes, and 1 hour, the economy and safety of system operation are guaranteed, and the real-time nature of information is also reflected.

[0071] In some embodiments, the equipment in the integrated energy system includes gas energy supply equipment, intermittent power generation equipment, energy conversion equipment and energy storage equipment;

[0072] Among them, the gas energy supply equipment includes gas turbines and gas boilers; the intermittent power generation device includes photovoltaic power generation devices and wind turbines; and the energy conversion equipment includes heat pumps and electric refrigerators.

[0073] For gas-powered equipment, gas turbines use natural gas as fuel, and the electricity generated is used to supply the electricity needs of users. The waste heat discharged after the system generates electricity is used to provide heating and cooling to users through waste heat recovery equipment, which can be regarded as a comprehensive supply of cold, heat and electricity. The power generation power of the gas turbine is P gt , the heat generation power is α h P gt , the cooling power is α c P gt The ramp rate of the gas turbine can reach an energy supply regulation speed of minutes or more.

[0074] The heat generation power of the gas boiler is P GB , which can be regarded as heating equipment. The ramp rate of gas boilers can only reach the hourly level or above energy supply adjustment speed, and minute-level adjustment is difficult to achieve.

[0075] For intermittent power generation devices, that is, distributed power sources, including photovoltaic power generation devices and wind turbines, the actual energy supply capacity of photovoltaic power generation devices and wind turbines is related to the weather.

[0076] For energy conversion equipment, the rated power of the heat pump is P EH , power consumption is β e P EH , the heat generation power is β h P EH , cooling power is β c P EH , the heat pump can only reach the hourly level or above energy supply adjustment speed. The cooling power of the electric refrigeration machine is P EC , the power consumption is γ EC P EC Electric refrigerators usually adopt a constant temperature control mode, and the ambient temperature adjustment speed is generally difficult to reach the minute level.

[0077] For energy storage devices, the electrical energy stored in the energy storage device at time t in the system is E t , the charging power and discharging power of the storage device are P t ch and P t dis Energy-type batteries can meet the needs of energy changes in seconds or more.

[0078] The thermal energy stored in the energy storage device at time t is H t The heat storage power and heat release power of the heat storage equipment are h t ch and h t dis Heat storage equipment can meet the needs of energy changes at the hourly level or above.

[0079] The cold energy stored in the energy storage device at time t is C t The storage power and cooling power of the cold storage equipment are C t ch and C t dis Cold storage equipment can meet the needs of energy changes at the hourly level or above.

[0080] The load characteristics refer to the energy consumption demand. Specifically, in the summer, the energy demand of the office area is large for cooling load and electric load, and very small for heat load; in the winter, the heat load and electric load are large, and the cooling load is very small; in the spring and autumn, the electric load is the main demand, and the cooling and heating loads are very small. From the daily load curve, the energy demand is large during the day and small at night. The energy demand of users is greatly affected by factors such as meteorological conditions.

[0081] S103, inputting the historical data, parameter characteristics and load characteristics into the flexible supply and demand balance model to obtain supply and demand balance analysis results of the user-side integrated energy system at different time scales.

[0082] In some optional embodiments, when the time scale is the first time scale, the supply and demand balance analysis results of the user-side integrated energy system at different time scales include:

[0083] Obtaining an average light intensity at a first time scale, and calculating a power supply capacity at the first time scale based on the average light intensity;

[0084] Calculate the energy demand for a preset time interval under a first time scale according to the load characteristics; the energy demand includes the energy demand for cold energy, the energy demand for heat energy, the energy demand for electric energy, and the energy demand for cold, heat and electricity;

[0085] Based on the power supply capacity and energy demand at the first time scale, the energy supply and demand balance analysis result of the comprehensive energy system at the first time scale is obtained.

[0086] Some optional embodiments further include:

[0087] When the energy supply and demand balance analysis result of the integrated energy system is unbalanced, corresponding balancing measures are determined according to the unbalanced phenomenon based on the mapping list.

[0088] Specifically, multiple sample days with no weather changes during the day (all-day sunny, all-day cloudy, all-day rainy) are selected to measure the real-time output PtPV of the photovoltaic power generation device for one day. The measurement time interval can be selected as 1, 3, 5, 10, 15, 30 or 60 minutes as needed. The measured values ​​of each day are normalized based on the maximum output value of the day to obtain the normalized daily photovoltaic output curve with a sample size of N.

[0089] To predict the long-term distributed power supply capacity, the average hourly light intensity is calculated based on the historical data of hourly light intensity for three consecutive years:

[0090]

[0091] In the formula, r i 1 、r i 2 、r i 3 is the light intensity at the i-th hour in the first, second and third years. Then, the light intensity is converted into photovoltaic power generation per hour according to the formula, and the photovoltaic power generation per hour in ten days is accumulated to calculate the total power generation in ten days. In this way, 36 total photovoltaic power generation are obtained in one year, and they are connected to form a 36-point power generation curve.

[0092] Predict the time scale of distributed generation energy supply capacity, such as Figure 4 and Figure 5 As shown in the figure, the output level time series characteristics of photovoltaic power generation equipment are directly related to the light intensity, and the light intensity is affected by the season and weather. According to the characteristic curve of sunlight intensity in each season, it can be divided into three situations: sunny, cloudy and rainy. According to the weather forecast, the light intensity of 5 minutes and 15 minutes every hour before and in the next 4 hours is predicted, and then the light intensity is converted into power generation according to the formula to obtain the power prediction value of photovoltaic output.

[0093] Conduct energy supply and demand balance analysis of long-term integrated energy systems. Long-term integrated energy system supply and demand balance analysis is based on energy balance and is mainly used to verify the rationality of equipment capacity configuration. Calculate energy demand and supply.

[0094] According to the predicted load, the energy demand in each time interval on a long time scale is calculated, including the energy demand for cold energy, the energy demand for heat energy, the energy demand for electric energy and the total energy demand for cold, heat and electricity; according to the predicted output of the photovoltaic power generation device, the energy supply in each time interval on a long time scale is calculated, including the supply of cold energy, the supply of heat energy, the supply of electric energy and the total energy supply of cold, heat and electricity.

[0095] According to the energy supply and consumption values ​​of each decade, determine whether the total supply and demand is balanced, that is, whether Qgz≥Qxz is satisfied. If so, the total supply and demand is balanced, otherwise it is unbalanced. If the total is balanced, then determine whether the cooling / heating / electricity are balanced respectively, that is

[0096]

[0097] When greater than or equal to is established, the corresponding supply and demand are balanced, otherwise they are unbalanced. If the supply and demand are unbalanced, the difference between supply and demand is:

[0098]

[0099] In the formula, Q gz is the total energy supply, Q xz is the total energy demand; Q gc is the supply of cooling energy, Q xc is the energy requirement for cooling energy; Q gh is the supply of heat energy, Q xh is the energy requirement for heat; Q ge is the supply of electrical energy, Q xe Energy requirements for electrical energy;

[0100] ΔQ c is the difference between supply and demand of cooling energy, ΔQ h is the difference between supply and demand of thermal energy, ΔQe The difference between supply and demand of electricity.

[0101] According to the supply and demand differences of cold energy, heat energy and electric energy, the imbalance of supply and demand of cold energy, heat energy and electric energy is obtained. According to the imbalance of supply and demand of cold energy, heat energy and electric energy, the balancing measures are obtained.

[0102] The analysis method of supply and demand imbalance over a long time scale is shown in Table 1.

[0103] Table 1 Analysis of supply and demand imbalance over a long time scale

[0104]

[0105] According to the above method, the annual supply and demand balance analysis is carried out, and the purchase and sales of electricity in 36 periods of the year are added up to obtain the total amount of electricity that needs to be purchased and sold from the power grid throughout the year; the maximum cooling energy difference and the maximum heating energy difference in the 36 periods are used to obtain the energy supply capacity adjustment requirements of the cooling and heating equipment of the integrated energy system. After the energy supply capacity is adjusted by increasing the capacity of equipment or connecting with other systems for complementary mutual assistance in the integrated energy system, the energy balance analysis needs to be re-performed.

[0106] In some embodiments, the second time scale includes spring, autumn and winter; when the time scale is the second time scale, the supply and demand balance analysis results of the user-side integrated energy system at different time scales include:

[0107] When the second time scale is spring and autumn, the total power generation and total power consumption of the equipment in the integrated energy system are determined, and the total power generation and total power consumption are compared to obtain the energy supply and demand balance analysis results of the integrated energy system in spring and autumn;

[0108] When the second time scale is winter, the heat production power and heat consumption power of the equipment in the integrated energy system are determined, and the heat production power and heat consumption power are compared to obtain the energy supply and demand balance analysis result of the winter integrated energy system.

[0109] Conduct energy supply and demand balance analysis of short-time-scale integrated energy systems. The energy supply and demand balance analysis of short-time-scale integrated energy systems is based on power balance, which can verify the rationality of equipment capacity configuration and formulate reasonable operation constraints for operation scheduling.

[0110] Assume that the power generation capacity of the gas turbine is P gt , the thermal power is α h P gt , the cooling power is α c P gt ; The predicted value of the photovoltaic power generation device is P t PV The rated power of the heat pump is PEH and the power consumption is β e PEH , the heat generation power is β h P EH , cooling power is β c P EH ; The power of the gas boiler is P GB ; The cooling power of the electric refrigerator is P EC , the power consumption is γ EC P EC ;

[0111] The battery charging power is P t ch The discharge power is P t dis ; When the stored power is less than 80% of the battery capacity, it can be charged, and when the stored power is greater than 20% of the battery capacity, it can be discharged; The heat storage power of the heat storage device is h t ch , heat release power is h t dis When the heat storage capacity is less than 80% of the heat storage equipment capacity, heat can be stored; when the heat storage capacity is greater than 10% of the heat storage equipment capacity, heat can be released; the cold storage power of the cold storage equipment is C t ch , cooling power is C t dis When the cold storage capacity is less than 80% of the cold storage equipment capacity, cold storage can be performed; when the cold storage capacity is greater than 10% of the cold storage equipment capacity, cold can be released; the user's electricity consumption prediction value is P e ; The user's heat prediction value is P h ; The user's cold prediction value is P c ; The power purchased from the upper power grid is P bin , the power sold to the upper grid is P bout .

[0112] Conduct energy supply and demand balance analysis of the comprehensive energy system in spring and autumn. In spring and autumn, the main energy demand of users is electricity, with very little heat and cold energy. When the sum of the power generated by the gas turbine, the power generated by the photovoltaic power generation device, and the discharge power of the battery is equal to the power used by the user; or when the sum of the power generated by the gas turbine and the power generated by the photovoltaic power generation device is equal to the sum of the power used by the user and the charging power of the battery, the supply and demand balance can be met, that is,

[0113]

[0114] It should be pointed out that "equal" here can also be replaced by "slightly greater than". When supply is completely equal to demand, the system cannot play a role in regulating the supply and demand balance for fluctuations in a certain period of time; while "slightly greater than" can improve the supply and demand balance regulation ability on the basis of leaving a certain margin; when supply is less than demand, balance cannot be achieved, so it is necessary to buy electricity from the power grid; when supply is much greater than demand, electricity should be sold to the power grid to avoid wasting resources.

[0115] When the integrated energy system is unbalanced in supply and demand on a time scale of spring and autumn, the difference between supply and demand of electric energy is calculated; the imbalance phenomenon of supply and demand of electric energy is obtained, and the balancing measures of electric energy are obtained.

[0116] The analysis method of short-term spring and autumn energy supply and demand imbalance is shown in Table 2.

[0117] Table 2 Analysis of imbalance between energy supply and demand in spring and autumn on a short time scale

[0118]

[0119]

[0120] The above method is used to perform supply and demand balance analysis every hour within 24 hours and supply and demand balance analysis every 5 minutes or every 15 minutes within 4 hours.

[0121] Conduct an energy supply and demand balance analysis of the winter comprehensive energy system. The main energy demands of users are electricity and heat, with very little cold energy. First, analyze the balance of heat supply and demand. When the sum of the heat generation power of the gas turbine, the heat generation power of the heat pump, the heat generation power of the gas boiler, and the heat release power of the heat storage device is equal to the heat power used by the user; or when the sum of the heat generation power of the gas turbine, the heat generation power of the heat pump, and the heat generation power of the gas boiler is equal to the sum of the heat storage power of the heat storage device and the heat power used by the user, the balance of supply and demand can be met, that is,

[0122]

[0123] The coupled power is the sum of the heat production powers of the heat pump and the thermal gas turbine.

[0124] When the heat supply and demand of the integrated energy system is unbalanced on the mid-time scale in winter, the difference between the heat supply and demand is calculated; the imbalance phenomenon of heat supply and demand is obtained, and the balance measures of heat energy are obtained.

[0125] Highly energy-efficient heat pumps can bear the heat load by consuming a small amount of electricity to generate heat, so the first consideration is to operate the heat pump for heating; if the power balance is not met, the gas turbine should be operated for heating from the perspective of energy efficiency and cascade utilization; when the gas turbine is of small capacity, the gas boiler can be used as the main heating equipment and the gas turbine as the rapid heating adjustment equipment, or the gas boiler can be used as a supplement to the gas turbine; if the power balance is still not met, the capacity of the heating equipment in the system is insufficient and additional heat energy is required.

[0126] like Figure 6 As shown, an embodiment of the present application provides a load control device for a smart city integrated energy system, the device comprising:

[0127] Establishing module 601, for establishing a flexibility supply and demand balance model of the integrated energy system based on the flexibility evaluation index;

[0128] The acquisition module 602 is used to acquire historical data of different time scales within a preset time period, and to acquire parameter characteristics and load characteristics of equipment in the integrated energy system;

[0129] The analysis module 603 is used to input the historical data, parameter characteristics and load characteristics into the flexibility supply and demand balance model to obtain the supply and demand balance analysis results of the user-side integrated energy system at different time scales.

[0130] The load control device of the smart city integrated energy system provided in the present application establishes a flexibility supply and demand balance model of the integrated energy system based on flexibility evaluation indicators through an establishment module 601; an acquisition module 602 acquires historical data of different time scales within a preset time period, and acquires parameter characteristics and load characteristics of equipment in the integrated energy system; an analysis module 603 inputs the historical data, parameter characteristics and load characteristics into the flexibility supply and demand balance model to obtain supply and demand balance analysis results of the user-side integrated energy system at different time scales.

[0131] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

[0132] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0133] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0134] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0135] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0136] Finally, 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A load control method for a smart city integrated energy system, characterized in that: The method comprises: Establish a flexibility supply and demand balance model for the integrated energy system based on flexibility evaluation indicators; Obtain historical data of different time scales within a preset time period, as well as parameter characteristics and load characteristics of equipment in the integrated energy system; The historical data, parameter characteristics and load characteristics are input into the flexible supply and demand balance model to obtain the supply and demand balance analysis results of the user-side integrated energy system at different time scales.

2. The method according to claim 1, characterized in that The flexibility supply and demand balance model includes: A supply model is used to calculate the upward and downward flexibility supply capacity of all flexibility regulation resources in the integrated energy system within a certain period of time; The transmission model is used to transmit the node flexibility resources to the flexibility demand location through the line according to the preset ratio, so as to realize the transfer of flexibility supply and demand; The demand model is used to integrate wind power, photovoltaic power and load to obtain the net load time series fluctuation changes.

3. The method according to claim 1, characterized in that The historical data includes light intensity data and energy load data at different time scales; the acquisition of historical data at different time scales within a preset time period includes at least one of the following: Acquire light intensity data and energy load data of the first time scale; Acquire light intensity data and energy load data of the second time scale; Based on the light intensity data and energy load data of the first time scale or the second time scale, obtaining the light intensity data and energy load data within a preset time period; Wherein, the first time scale is longer than the second time scale.

4. The method according to claim 3, characterized in that When the time scale is the first time scale, the supply and demand balance analysis results of the user-side integrated energy system at different time scales include: Obtaining an average light intensity at a first time scale, and calculating a power supply capacity at the first time scale based on the average light intensity; Calculate the energy demand for a preset time interval under a first time scale according to the load characteristics; the energy demand includes the energy demand for cold energy, the energy demand for heat energy, the energy demand for electric energy, and the energy demand for cold, heat and electricity; Based on the power supply capacity and energy demand at the first time scale, the energy supply and demand balance analysis result of the comprehensive energy system at the first time scale is obtained.

5. The method according to claim 4, characterized in that The second time scale includes spring, autumn and winter; when the time scale is the second time scale, the supply and demand balance analysis results of the user-side integrated energy system at different time scales include: When the second time scale is spring and autumn, the total power generation and total power consumption of the equipment in the integrated energy system are determined, and the total power generation and total power consumption are compared to obtain the energy supply and demand balance analysis results of the integrated energy system in spring and autumn; When the second time scale is winter, the heat production power and heat consumption power of the equipment in the integrated energy system are determined, and the heat production power and heat consumption power are compared to obtain the energy supply and demand balance analysis result of the winter integrated energy system.

6. The method according to claim 4 or 5, characterized in that: Also includes: When the energy supply and demand balance analysis result of the integrated energy system is unbalanced, corresponding balancing measures are determined according to the unbalanced phenomenon based on the mapping list.

7. The method according to claim 1, characterized in that The equipment in the comprehensive energy system includes gas energy supply equipment, intermittent power generation equipment, energy conversion equipment and energy storage equipment; Among them, the gas energy supply equipment includes gas turbines and gas boilers; the intermittent power generation device includes photovoltaic power generation devices and wind turbines; and the energy conversion equipment includes heat pumps and electric refrigerators.

8. The method according to claim 1, characterized in that The load characteristic is energy consumption demand.

9. The method according to claim 1, characterized in that: The flexibility evaluation index includes: evaluation object, evaluation dimension and space dimension; Among them, the evaluation objects include flexible supply sources, demand sources and transmission grids; the evaluation dimensions include multi-directional flexibility adjustment capabilities, long and short full-time scales in the time dimension; the spatial dimensions include internal spatial capabilities and cross-regional support capabilities.

10. A load control device for a smart city integrated energy system, characterized in that: The device comprises: Establish a module for establishing a flexibility supply and demand balance model for an integrated energy system based on flexibility evaluation indicators; An acquisition module is used to acquire historical data of different time scales within a preset time period, and to acquire parameter characteristics and load characteristics of equipment in the integrated energy system; The analysis module is used to input the historical data, parameter characteristics and load characteristics into the flexible supply and demand balance model to obtain the supply and demand balance analysis results of the user-side integrated energy system at different time scales.

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