New energy base power supply electric heating collaborative planning method, system and equipment considering extra-high temperature heat pump thermal battery and medium

Abstract

The invention provides a new energy base power supply electric heating collaborative planning method, system and device considering an ultra-high temperature heat pump thermal battery and a medium, and relates to the field of new energy industry development, and the method comprises the steps: carrying out the modularization of a power supply system of a new energy large base; the method comprises the following steps: acquiring new energy output data, an external transmission power demand, power supply cost data and ultrahigh-temperature heat pump performance parameters in a power supply system, and constructing a standardized parameter set; inputting the standardized parameter set into a preset mixed integer linear programming model to obtain a preliminary capacity configuration result; performing sensitivity verification on the preliminary capacity configuration result, and taking the preliminary capacity configuration result passing the verification as an optimal capacity configuration result; and optimizing the power supply state according to the optimal capacity configuration result. According to the method, the mixed integer linear programming optimization model is established, the scale and the operation mode of each power supply are optimized, the new energy utilization rate of a base and the green electricity proportion of a channel are improved, and the system supporting capacity of energy storage can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy industry development, in particular to a method, system, device and medium for new energy base power supply and heat coordination planning considering extra-high temperature heat pump heat battery. BACKGROUND

[0002] The prior art is a multi-energy capacity configuration planning method for a wind-solar-thermal-storage energy base power system, including: considering photovoltaic, wind power, thermal power and electrochemical energy storage, taking the minimum construction and operation cost and the maximum energy base power generation benefit as the target; based on the multi-energy complementary characteristics and a preset operation strategy, and a preset constraint condition, a multi-energy capacity optimization configuration model is constructed; under the premise that the minimum utilization hours of thermal power are fixed, the optimal wind turbine capacity, photovoltaic array capacity, thermal power capacity and energy storage battery capacity of the multi-energy capacity optimization configuration model are searched and solved by a genetic algorithm.

[0003] The prior art focuses on the independent configuration of traditional power supply and electric energy storage, does not include the flexibility transformation of thermal power units and the future transformation into a heat battery system in the optimization category, resulting in that the regulation potential of the heat system in the new power system is not fully tapped; only the electric-electric one-way transmission and regulation is considered, the comprehensive regulation capacity of the electric-thermal coupling system in the energy base is ignored, especially the heat energy cascade comprehensive utilization of thermal power and solar heat, the collaborative operation mechanism of thermal energy storage and electric energy storage is missing, which is difficult to meet the new energy consumption demand; the existing model adopts a fixed mode in the heat system configuration, and cannot split the traditional thermal power and other heat systems into modules for optimization, further limiting the overall flexibility and economy of the system. SUMMARY

[0004] The present application provides a method, system, device and medium for new energy base power supply and heat coordination planning considering extra-high temperature heat pump heat battery, which expands and perfects the traditional electric-electric regulation in the new energy base to electric-thermal-electric regulation, and realizes the heat flow coupling of the extra-high temperature heat pump and the heat system into the power supply planning technology of the base.

[0005] To achieve the above purpose, the technical scheme adopted by the present application is as follows: The power supply system of the new energy base is modularized, the new energy output data, power demand, power cost data and extra-high temperature heat pump performance parameters in the power supply system are obtained, and a standardized parameter set is constructed; The standardized parameter set is input into a preset mixed integer linear programming model to obtain a preliminary capacity configuration result; The preliminary capacity configuration result is verified for sensitivity, and the preliminary capacity configuration result that passes the verification is used as the optimal capacity configuration result; The power supply state is optimized according to the optimal capacity configuration result.

[0006] In some embodiments, the module in the modularization of the power supply system of the new energy large base comprises photovoltaic, wind power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler and thermal power generation system. The power supply state is the scale and operation mode of each module.

[0007] In some embodiments, the construction process of the preset mixed integer linear programming model is as follows: Collect the power supply cost data in the modularized power supply system, obtain the internal rate of return requirement of the project, and construct a target function based on the power supply cost data and the internal rate of return requirement of the project; Obtain new energy output data and external power load to construct power balance constraints, and obtain the state of electric energy storage and thermal energy storage to construct energy balance constraints; Obtain new energy output curve and external power demand curve as boundary conditions.

[0008] In some embodiments, the target function is the lowest comprehensive on-grid price corresponding to the satisfaction of the internal rate of return requirement; The power balance constraints include: input power of new energy output and output power of electric energy destination, balance of heat power output by ultra-high temperature heat pump, auxiliary boiler and thermal energy storage converted into electric power by thermal power generation system, and balance of new energy direct power supply power, electric energy storage output power and thermal power generation system output power with power supply load power; The input power of new energy output includes electric power of photovoltaic and wind power output; The output power of electric energy destination includes direct power supply power, power into electric energy storage, power to drive ultra-high temperature heat pump and abandoned power.

[0009] In some embodiments, the step of verifying the sensitivity of the preliminary capacity configuration result comprises: The key parameters in the preliminary capacity configuration are selected as new energy power generation output and load demand, and the key parameters are assigned a variation interval; Different combinations of key parameters are designed by orthogonal test, and the capacity configuration result under each combination is calculated; The capacity configuration result with the minimum fluctuation in the variation range of the key parameters is taken as the preliminary capacity configuration result that passes the verification.

[0010] In some embodiments, the step of modularizing the power supply system of the new energy large base, obtaining new energy output data, external power demand, power supply cost data and ultra-high temperature heat pump performance parameters in the power supply system, and constructing a standardized parameter set comprises: Acquire new energy output data, external power demand and power supply cost data, preprocess, extract key features; Integrate the key features; According to the electric-thermal conversion efficiency and the synchronous generator power generation efficiency in the ultra-high temperature heat pump performance parameters, define the parameter set structure; Synchronize the integrated key features to the parameter set structure to obtain the standardized parameter set.

[0011] In some embodiments, the operation mode of each module is as follows: The ultra-high temperature heat pump is driven by new energy electric energy, the heat flow inlet is connected with the waste heat discharge end of the power generation system, and the heat flow outlet is connected to the thermal power generation system or the heat storage system; The outlet of the auxiliary boiler is connected to the thermal power generation system or the heat storage system, and is used as a heat supplement source; The outlet of the heat storage system is connected to the thermal power generation system.

[0012] The present application proposes a new energy base power supply electric-thermal collaborative planning system considering the ultra-high temperature heat pump thermal battery, comprising: The acquisition unit is configured to modularize the power supply system of the new energy base, acquire new energy output data, external power demand, power supply cost data and ultra-high temperature heat pump performance parameters in the power supply system, and construct a standardized parameter set; The preliminary configuration unit is configured to input the standardized parameter set into a preset mixed integer linear programming model to obtain a preliminary capacity configuration result; The verification unit is configured to verify the sensitivity of the preliminary capacity configuration result, and the preliminary capacity configuration result that passes the verification is used as the optimal capacity configuration result; The optimization unit is configured to optimize the power supply state according to the optimal capacity configuration result.

[0013] The present application proposes a computer device, comprising: At least one processor; and a memory storing a computer program running on the processor, wherein the processor executes the program to execute the steps of the new energy base power supply electric-thermal collaborative planning method.

[0014] The present application proposes a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to execute the steps of the new energy base power supply electric-thermal collaborative planning method.

[0015] Compared with the prior art, the present application has the following beneficial effects: The application provides a new energy base power and heat collaborative planning method, system, device and medium considering an extra-high temperature heat pump heat battery, the method comprises the following steps: modularizing a power supply system of a new energy base, obtaining new energy output data, external power demand, power supply cost data and extra-high temperature heat pump performance parameters in the power supply system, and constructing a standardized parameter set; inputting the standardized parameter set into a preset mixed integer linear programming model to obtain a preliminary capacity configuration result; performing sensitivity verification on the preliminary capacity configuration result, and taking the preliminary capacity configuration result that passes the verification as an optimal capacity configuration result; and optimizing the power supply state according to the optimal capacity configuration result.

[0016] The application establishes a mixed integer linear programming optimization model, calculates the lowest on-grid price under the premise of meeting the external power demand and project economic feasibility, becomes a supporting regulation power supply of the new energy base, and optimizes the scale and operation mode of each power supply. The application can reduce the overall price of the base, improve the utilization rate of new energy of the base and the proportion of green electricity in the channel, reduce coal consumption, and improve the system support capability of energy storage. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other embodiments can also be obtained from these drawings without creative labor.

[0018] Figure 1 A new energy base power and heat collaborative planning method flow chart is provided for the present application. Figure 2 A new energy base power and heat collaborative planning system module diagram is provided for the present application. Figure 3 A structural schematic diagram of an embodiment of a computer device is provided for the present application. Figure 4 A structural schematic diagram of an embodiment of a computer readable storage medium is provided for the present application. Figure 5 A new energy base power and heat collaborative planning method running state structure diagram is provided for the present application. Figure 6 An embodiment flow chart of a new energy base power and heat collaborative planning method is provided for the present application. DETAILED DESCRIPTION

[0019] The application will be further described below with reference to the drawings. The following examples are only used to more clearly illustrate the technical solutions of the application, and cannot be used to limit the protection scope of the application. It should be pointed out that the following detailed description is exemplary, and is intended to provide further description of the present application.

[0020] It should be noted that all the expressions of "first" and "second" in the embodiments of the application are used to distinguish two same name non-same entities or non-same parameters, and "first" and "second" are only for the convenience of description, and should not be understood as a limitation of the embodiments of the application. The subsequent embodiments will not be described one by one.

[0021] The application proposes a method for new energy base power and heat collaborative planning considering ultra-high temperature heat pump heat battery, please refer to Figure 1 and Figure 6 , comprising: S1, modularizing the power supply system of the new energy base, obtaining new energy output data, external power demand, power supply cost data and ultra-high temperature heat pump performance parameters in the power supply system, and constructing a standardized parameter set; S2, inputting the standardized parameter set into a preset mixed integer linear programming model to obtain a preliminary capacity configuration result; S3, verifying the sensitivity of the preliminary capacity configuration result, and the preliminary capacity configuration result that passes the verification is used as the optimal capacity configuration result; S4, optimizing the power supply state according to the optimal capacity configuration result.

[0022] The ultra-high temperature heat pump plays an important role in the application of thermal power reconstruction and heat battery energy storage power station. The application solves the problem of how to configure and apply the ultra-high temperature heat pump (500 DEG C and above) technology in the new energy base after the technology gradually matures. The application expands and perfects the traditional electric-electric regulation in the new energy base to electric-heat-electric regulation, couples the ultra-high temperature heat pump and the heat flow of the heat system into the power supply planning algorithm of the base, and changes the traditional fixed thermal power system into a more flexible and modular heat battery system for optimal configuration.

[0023] In the planning and operation of a large-scale wind-solar-storage energy base, the new energy output data, power transmission demand and power supply cost data are obtained and constructed into a standardized parameter set. The new energy output data covers the time series characteristics of wind power and photovoltaic power. The volatility and intermittency of the data directly affect the demand for regulating power of the system. The power transmission demand determines the role of the energy base in the larger power market, and together determines the time and space matching requirements that the capacity configuration needs to meet. The power supply cost data includes the construction investment, operation and maintenance costs, and fuel costs throughout the life cycle. The accuracy of the data directly affects the realization of the economic goal. The unification of these heterogeneous data into a standardized parameter set not only eliminates the differences in dimensions and sampling frequencies of different data sources, but also retains the core information closely related to capacity configuration through data cleaning and feature extraction.

[0024] The standardized parameter set is input into a pre-set mixed integer linear programming model, which optimizes the selection of power supply types and capacity scales, and the constraint conditions ensure the feasibility and optimality of the solution. In the model construction, the uncertainty of new energy output, the volatility of power transmission demand, and the operation constraints of power supply need to be considered comprehensively. The preliminary capacity configuration results obtained by solving the model not only determine the optimal capacity combination of wind power, photovoltaic power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler and thermal power generation system, but also provide the operation strategy of each power supply and the charging and discharging time of energy storage.

[0025] The sensitivity of the preliminary capacity configuration results is verified to ensure its robustness and adaptability. The sensitivity verification adjusts the key parameters such as the fluctuation range of new energy output, the growth rate of power transmission demand, and the change rate of power supply cost, observes the changes of the preliminary capacity configuration results, and judges whether they are within a reasonable range. If the verification is passed, it means that the preliminary capacity configuration results are not sensitive to parameter changes and have high reliability. If the verification is not passed, the model parameters or constraints need to be adjusted and solved again until the verification is passed. Through sensitivity verification, the most robust capacity configuration scheme is selected for parameter changes.

[0026] Optimizing the power supply state according to the optimal capacity configuration results determines the optimal capacity and operation strategy of each power supply. By monitoring the new energy output, power transmission demand and power supply operation state in real time, the power supply start-stop, output allocation and energy storage charging and discharging are dynamically adjusted to maximize the system operation benefit. During the peak period of new energy output, the wind power and photovoltaic power output are preferentially increased, the auxiliary boiler power is reduced, and the electric-thermal dual energy storage device is used to store excess energy to avoid new energy curtailment. During the trough period of new energy output, the electric-thermal dual energy storage device is used to release energy for power supply. If the power transmission demand cannot be met, the auxiliary boiler will supplement the power through thermal power generation. Through power supply state optimization, the coordination of capacity configuration and operation scheduling is realized, and the economy, reliability and low carbon of the energy base are improved.

[0027] In some embodiments, reference is made toFigure 1 and Figure 6 , The modules in the modularization of the power supply system of the new energy large base include photovoltaic, wind power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler and thermal power generation system. The power supply state is the scale and operation mode of each module.

[0028] In some embodiments, referring to Figure 1 and Figure 6 , the construction process of the preset mixed integer linear programming model is as follows: Collect the power supply cost data in the modularized power supply system, obtain the internal rate of return requirement of the project, and construct the objective function based on the power supply cost data and the internal rate of return requirement of the project; Obtain new energy output data and external power load to construct power balance constraints, and obtain the state of electric energy storage and thermal energy storage to construct energy balance constraints; Obtain new energy output curve and external power demand curve as boundary conditions.

[0029] The objective function is to minimize the comprehensive on-grid price of the new energy base under the condition that the internal rate of return of the project capital is not less than 6.5%. Considering that the project operation period is 25 years, the capital ratio is 20%, the loan period is 15 years, the loan interest rate is 3%, the value-added tax rate is 13%, and the sales tax and additional tax rate is 8%.

[0030] PV, wind power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler, and thermal power generation system, unit: yuan / kW or yuan / kWh; PV, wind power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler, and thermal power generation system, unit: kW or kWh; PV, wind power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler, and thermal power generation system, unit: yuan / kW or yuan / kWh; The coal consumption cost required for the standby boiler to provide unit heat, unit: yuan / kWh; The internal rate of return of the capital, which is 6.5%.

[0031] The constraint conditions include technical and economic constraints, which are as follows: The photovoltaic and wind power output curve represents the wind power at each moment, which is the source of new energy power. The formula is as follows: represents photovoltaic power at time t, unit is kW; represents photovoltaic power coefficient at time t; represents wind power at time t, unit is kW; represents wind power coefficient at time t.

[0032] The electrical power balance reflects the direction of the new energy generated electricity, part of which is directly supplied or enters the electrical energy storage, part of which is used to drive the heat pump, and a small part of the new energy electricity that cannot be utilized becomes abandoned electricity. The formula is as follows: is the electrical power directly supplied or entering the electrical energy storage, unit is kW, is the electrical power driving the heat pump, unit is kW; represents the new energy abandoned electricity power, unit is kW.

[0033] The electrical energy storage needs to consider the actual process that charging and discharging cannot be performed at the same time and there is energy loss. In the constraint description, two 0-1 variables are used to represent the charging and discharging state. The formula is as follows: and is a 0-1 variable, representing the charging and discharging state judgment; and is the electrical power of the electrical energy storage charging and discharging, unit is kW; is the upper limit of the electrical energy storage power, unit is kW; represents the electrical quantity stored in the electrical energy storage at time t, unit is kWh; and is the charging and discharging efficiency of the electrical energy storage; is thermal power system generated at time t, unit is kW; is the electrical load at time t, unit is kW.

[0034] Ultra-high temperature heat pumps can reach temperatures up to 600℃, using electricity generated from new energy sources to drive heating. Through the integration of a low-temperature heat source, the heat pump achieves high-efficiency electrothermal conversion. The formula is as follows: This represents the outlet thermal power of the ultra-high temperature heat pump, measured in kW. It is the coefficient of performance for ultra-high temperature heat pumps; This refers to the installed capacity of the heat pump, measured in kW.

[0035] Thermal energy storage needs to consider situations where heat charging and discharging cannot occur simultaneously and energy loss exists during the actual process. In the constraint description, two 0-1 variables are used to represent the heat charging and discharging states. The formula is as follows: and It is a 0-1 variable, representing the judgment of the charging and discharging state; and It is the thermal power of thermal energy storage, which stores and releases heat, and its unit is kW; This is the upper limit of the heat exchange capacity of thermal energy storage, in kW; Represents The amount of heat stored in a thermal energy storage system at any given time, expressed in kWh. and It refers to the efficiency of thermal energy storage in storing and releasing heat; yes The thermal power provided by the auxiliary boiler at any given time, in kW; yes The thermal power entering the thermal power generation system at any given time, measured in kW.

[0036] A thermal power generation system converts input thermal power into output electrical power. The formula is as follows: The power generation efficiency of a thermal power generation system.

[0037] In the development of new energy projects, it is necessary to ensure that the utilization rate of new energy reaches a certain proportion, which is determined according to the project requirements, and the constraints are expressed as follows: It refers to the utilization rate of new energy sources.

[0038] The new energy base needs to ensure that the total amount of green electricity sent out reaches a certain proportion of the total amount of electricity sent out. The specific proportion is determined according to the project requirements, and the constraint expression is as follows: is the green electricity proportion requirement.

[0039] The boundary conditions need to give the local photovoltaic and wind power output coefficients and , the demand for power transmission at each moment , and the investment and construction cost of all components.

[0040] The programming language Matlab+Yalmip is used to build the programmatic description of this mixed integer linear programming optimization model, and then the Gurobi solver is used to solve it.

[0041] The construction of the objective function needs to deeply integrate the power supply cost data and the internal rate of return requirements. The power supply cost data covers the full life cycle cost of wind power, photovoltaic, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler and thermal power generation system, including construction investment, equipment depreciation, operation and maintenance cost, fuel price and subsidy policy, etc. Through time series analysis, the cost change trend is extracted to provide cost benchmark for capacity configuration. The internal rate of return requirement reflects the investor's expectation of the level of return, which needs to consider the cost of funds, risk premium and industry benchmark return rate.

[0042] The construction of physical operation constraints is the key to the feasibility of the model, which needs to be developed from two dimensions of power balance and energy balance. The power balance constraint reflects the requirement of real-time supply and demand matching of the power system, which depends on the new energy output data and the power transmission load. The new energy output data usually includes the time series output curve of wind power and photovoltaic, which challenges the system regulation ability due to its volatility and intermittency. The power balance constraint requires that at any moment, the sum of new energy output, thermal power output and energy storage charging and discharging power is equal to the sum of power transmission demand and network loss. The energy balance constraint focuses on the charging and discharging cycle of the energy storage system, which needs to combine the state data of electric energy storage and thermal energy storage. The energy balance of electric / thermal energy storage requires that at any moment, the electric / thermal energy of the energy storage is equal to the electric / thermal energy of the previous moment plus the charging / heat minus the discharging / heat, while meeting the upper and lower limit constraints of capacity. Through the power and energy balance constraints, the model ensures the feasibility of power supply configuration and operation strategy in the physical layer.

[0043] The external power demand curve is constructed based on load data, power market transaction data and regional economic development forecasts, and its time sequence characteristics reflect the user-side power consumption behavior mode. Inputting the external power demand curve as a boundary condition into the model means that the capacity configuration needs to meet all load demands under the curve, including stable supply of base load and instantaneous response of peak load. The boundary condition also includes constraints such as renewable energy quota system, new energy grid connection standard and carbon emission limit, which further refines the solution space of the model and provides a quantitative decision tool for capacity configuration of large-scale wind-solar-thermal-storage energy base.

[0044] In some embodiments, referring to Figure 1 and Figure 6 , the objective function is the lowest comprehensive on-grid price corresponding to the internal rate of return requirement of the project; The power balance constraint includes: balance of input power of new energy output and output power of electric energy destination, balance of heat power output by high-temperature heat pump, auxiliary boiler and thermal storage energy converted into electric power by thermal power generation system, and balance of new energy direct power supply power, electric storage energy output power and thermal power generation system output power and power supply load power; The input power of new energy output includes the electric power output of photovoltaic and wind power; The output power of electric energy destination includes direct power supply power, power into electric storage energy, power for driving high-temperature heat pump and abandoned power.

[0045] By optimizing the power supply capacity configuration and operation strategy, the comprehensive on-grid price can be reduced as much as possible while ensuring that the internal rate of return of the project reaches the expected level. When the construction cost of new energy decreases, the model can tend to increase the capacity of wind power and photovoltaic power, reduce the unit power generation cost through the scale effect, and thus reduce the comprehensive on-grid price while keeping the internal rate of return unchanged. When the cost of energy storage technology decreases, the model can increase the energy storage configuration, reduce the number of start-stop of thermal power through the peak clipping and valley filling ability of energy storage, reduce the fuel consumption and operation and maintenance cost, and thus promote the decrease of the comprehensive on-grid price.

[0046] The output power of power and electric energy destination maintains dynamic balance at any time. The input power of new energy output is mainly derived from the electric power output of photovoltaic and wind power, which has significant volatility and intermittency characteristics. The photovoltaic output is affected by factors such as sunshine intensity, temperature and shadow blocking, and usually presents a unimodal curve with high during the day and low at night. The wind power output is closely related to wind speed, wind direction and air density, and has higher fluctuation frequency and stronger randomness.

[0047] The output power of the electric energy goes to four directions: direct power supply, electric energy storage charging and discharging, driving super-high temperature heat pump, and abandoned electricity. The direct power supply power is the basic part to meet the demand of power transmission and the load in the base, and its scale is real-time matched with the new energy output. The power entering the electric energy storage is used to smooth the new energy fluctuation, and the excess electric energy is stored through the charging process, and discharged to supplement when the output is insufficient. The power driving the super-high temperature heat pump realizes the electric-thermal conversion, converts the new energy power into heat energy into the thermal battery system, and expands the energy flow path of the new energy. The abandoned electricity power is the electric energy that is not used due to insufficient system regulation capacity or limited transmission channel.

[0048] The heat generated by the super-high temperature heat pump is supplied to the thermal power generation system, and the excess heat energy is stored in the heat storage. When the new energy output is insufficient and the super-high temperature heat pump heating is insufficient, the heat storage releases heat, and the thermal power generation system supplies power. If there is still a gap in the power transmission, the auxiliary boiler power is increased to provide heat supplement, and the thermal power generation system supplements the power transmission.

[0049] The final power transmission load is provided by three parts: one is the direct supply of new energy output, the second is the release of electric energy storage, and the third is the supply of power through the thermal power generation system.

[0050] The power balance constraint requires that the input power and the output power are equal at any time. This constraint ensures that every degree of new energy power generation is reasonably utilized, avoiding energy waste and reducing economic losses caused by abandoned electricity, while providing a quantitative basis for the configuration of energy storage and heat pump.

[0051] When the new energy output peak period appears the risk of abandoned electricity, the model can store part of the abandoned electricity into the electric energy storage or convert it into heat energy stored in the heat storage by increasing the energy storage capacity or heat pump configuration, thereby reducing the abandoned electricity rate and reducing the dependence on traditional thermal power. Ultimately, while maintaining the internal rate of return, the comprehensive on-grid price is reduced. When the new energy output is insufficient, the model releases the electric and heat energy storage energy, and uses the auxiliary boiler to provide heat supplement, generates power through the thermal system, ensures the power supply reliability, and avoids the penalty cost caused by power shortage. The energy base can flexibly adjust the power supply operation state according to the characteristics of new energy output, changes in power demand, and fluctuations in market prices.

[0052] Due to the volatility of new energy output, a certain scale of thermal power generation system must be configured as support to ensure that the power transmission meets the demand. Under the premise of having configured a certain scale of thermal power generation system, increasing the ultra-high temperature heat pump to open up the electricity-heat conversion path, converting part of the surplus new energy electricity into heat energy storage, reducing the size of the electricity storage, can improve the overall economy of the base. Although the electricity-heat-electricity conversion efficiency is not as good as the electricity-electricity efficiency, but because the thermal system has been configured and the cost of heat storage is much lower than that of electricity storage, therefore the "photovoltaic + wind power + ultra-high temperature heat pump + electricity storage + heat storage + auxiliary boiler + thermal power generation system" mode described in this patent has better economy than the traditional new energy base power configuration under certain conditions.

[0053] In some embodiments, referring to Figure 1 and Figure 6 , the step of verifying the sensitivity of the preliminary capacity configuration result comprises: Screening the key parameters in the preliminary capacity configuration as new energy power generation output and load demand, and assigning a variation range to the key parameters; Design different combinations of key parameters through orthogonal test, calculate the capacity configuration result under each combination; The capacity configuration result that fluctuates the least within the variation range of the key parameters is the preliminary capacity configuration result that passes the verification.

[0054] By quantifying the impact of key parameter fluctuations on capacity configuration, the optimal solution that is not sensitive to parameter changes and has strong stability is screened out.

[0055] From the preliminary capacity configuration, the key parameters that have the most significant impact on system economy and reliability are selected, including new energy power generation output and load demand. New energy power generation output includes the time sequence characteristics of wind power and photovoltaic, and the volatility directly determines the demand size of the regulating power source; load demand reflects the spatial and temporal distribution characteristics of the power market, and the peak-valley difference and growth rate affect the matching logic of power capacity.

[0056] For new energy power generation output, based on historical output data, calculate its standard deviation, coefficient of variation and other statistical quantities, and determine the fluctuation range combined with wind speed / light intensity probability distribution. Interval allocation needs to avoid too wide to cause distortion of the verification result, or too narrow to capture key risks, and optimize the interval boundary through expert consultation.

[0057] In actual operation, orthogonal test design needs to select the appropriate orthogonal table according to the number of parameters and computing resources to ensure that the test points are evenly distributed in the parameter space. Under each parameter combination, the mixed integer linear programming model needs to be run again to calculate the corresponding capacity configuration result to form a mapping relationship library of parameter combination-capacity configuration.

[0058] The capacity configuration results under each parameter combination need to be statistically analyzed, and the standard deviation of the key indicators is calculated. The smaller the standard deviation, the less sensitive the capacity configuration is to parameter fluctuations, ensuring that the configuration with the smallest fluctuation is not only stable, but also meets the project's revenue and operation requirements. The final selected capacity configuration result that passes the verification will be used as the benchmark scheme for the construction of the energy base, which can resist the uncertainty of new energy output and the volatility of load demand, avoid over-conservative or aggressive capacity configuration due to parameter estimation bias, and provide protection for the stable operation of the project throughout its life cycle.

[0059] In some embodiments, referring to Figure 1 and Figure 6 , the power system of the new energy base is modularized, the new energy output data, power demand, power cost data, and ultra-high temperature heat pump performance parameters in the power system are obtained, and the step of constructing a standardized parameter set includes: Obtain new energy output data, power demand, and power cost data, preprocess, and extract key features; Integrate the key features; Define the parameter set structure according to the electric-thermal conversion efficiency and the synchronous generator power generation efficiency in the ultra-high temperature heat pump performance parameters; Synchronize the integrated key features to the parameter set structure to obtain the standardized parameter set.

[0060] Key features closely related to energy system planning are extracted from raw data, while noise and outliers are eliminated to interfere with the analysis results. New energy output data often has missing values, repeated values, or extreme fluctuations. Missing values are filled by interpolation method, outliers are identified and corrected by box plot, and short-term fluctuations are smoothed by moving average or wavelet transform, retaining long-term trends and periodic rules reflecting new energy output characteristics. The power demand data needs to be normalized to unify different dimension data into a standard format, and the initial investment of the power cost data is converted into annual value, considering the dynamic influence of inflation, technological progress and other factors on cost parameters, and finally extracting static cost coefficients and dynamic cost change rates reflecting power economy.

[0061] The preprocessed multi-source data fusion is an organic whole by establishing the spatio-temporal association and logical mapping between data, ensuring that the parameter set can fully reflect the operation constraints and economic goals of the energy system. New energy output characteristics need to be coupled with power demand characteristics for coupled analysis to identify potential bottlenecks for new energy consumption; power cost characteristics need to be combined with new energy output characteristics to calculate the comprehensive power generation cost under different power combinations, providing a cost benchmark for capacity configuration. Define the association between data to form a structured key feature set.

[0062] As the key equipment of electricity-heat conversion, the electricity-heat conversion efficiency of the ultra-high temperature heat pump directly determines the economy of the conversion of new energy power into heat energy, and further affects the configuration scale and operation strategy of thermal energy storage. The power generation efficiency of the synchronous generator reflects the conversion and adjustment ability of the thermal system to the power system, which is an important indicator for evaluating the energy efficiency of the system.

[0063] The parameter set structure needs to define a three-layer architecture: the bottom layer is the raw data layer, which stores the pre-processed new energy output, external sending demand and power cost time series data; the middle layer is the feature parameter layer, which extracts and stores key features; the top layer is the constraint parameter layer, which defines power balance constraints and energy balance constraints combined with the efficiency of the ultra-high temperature heat pump and the generator. Through this layered design, the parameter set structure not only retains the original details of the data, but also highlights the key parameters directly related to energy system planning.

[0064] In some embodiments, referring to Figure 1 and Figure 5 , the operation mode is as follows: The ultra-high temperature heat pump is driven by new energy electricity, and the heat flow inlet is connected to the waste heat discharge end of the power generation system, and the heat flow outlet is connected to the thermal power generation system or the thermal energy storage system; The outlet of the auxiliary boiler is connected to the thermal power generation system or the thermal energy storage system, which is used as a heat supplement source; The outlet of the thermal energy storage system is connected to the thermal power generation system.

[0065] The heat flow inlet of the ultra-high temperature heat pump is connected to the waste heat discharge end of the power generation system through a pipeline, forming a waste heat collection loop. The low-temperature waste heat generated during power generation is upgraded to high-temperature heat energy, and is transported to the thermal energy storage system through the outlet pipeline.

[0066] The inlet of the auxiliary boiler is connected to the thermal circulation loop of the power generation system, forming a thermal circulation supplement loop. When the thermal output of the power generation system is insufficient, high-temperature steam is generated by burning auxiliary fuel, which is directly injected into the thermal circulation loop or transported to the thermal energy storage system through the outlet pipeline.

[0067] The thermal energy storage system is heated and cooled by the heat exchanger with the power generation system, receives the upgraded waste heat of the ultra-high temperature heat pump or the high-temperature heat energy generated by the auxiliary boiler, and stores it in the form of sensible heat or latent heat; according to the demand of the power generation system or the external sending heat load demand, the stored heat energy is released to the thermal circulation loop of the power generation system or the external heat network through the heat exchanger, realizing the transposition of heat energy.

[0068] The present application proposes a new energy base power supply and heat co-planning system considering the ultra-high temperature heat pump thermal battery, please refer to Figure 2 , which includes: The collection unit 100 is configured to modularize the power supply system of the new energy large base, acquire new energy output data, external power demand, power supply cost data and super-high temperature heat pump performance parameters in the power supply system, and construct a standardized parameter set; The preliminary configuration unit 200 is configured to input the standardized parameter set into a preset mixed integer linear programming model to obtain a preliminary capacity configuration result. The verification unit 300 is configured to verify the sensitivity of the preliminary capacity configuration result, and the preliminary capacity configuration result that passes the verification is used as an optimal capacity configuration result. The optimization unit 400 is configured to optimize the power supply state according to the optimal capacity configuration result.

[0069] The system provided by the application is a high-proportion new energy base, a mixed integer linear programming model of new energy base power and heat collaborative planning is established by inputting photovoltaic and wind power output data, base external sending curve and cost data of various power supplies in the base, the minimum comprehensive on-grid price corresponding to the internal rate of return requirement of the project is used as the objective function, energy balance and power balance are used as constraints, and new energy output characteristics and external power curve are used as boundary conditions. Compared with the existing large base mainly composed of “photovoltaic + wind power + electrochemical energy storage + thermal power”, the system can reduce the overall price of the base, improve the utilization rate of new energy and the proportion of green electricity in the channel, reduce coal consumption, and improve the system support capacity of energy storage.

[0070] Compared with the existing large base “photovoltaic + wind power + electrochemical energy storage + thermal power”, based on the high-proportion new energy power supply composition mode of “photovoltaic + wind power + super-high temperature heat pump + electrical energy storage + thermal energy storage + auxiliary boiler”, the surplus power of new energy is fully utilized, which can be stored in electrical energy storage and directly supplied with power when needed, or converted into heat energy and stored in the form of heat in the thermal power generation system, and then generated by the synchronous generator when needed, while having the functions of power supply and rotational inertia support, frequency and voltage regulation. The super-high temperature heat pump significantly improves the electric-thermal conversion efficiency, so that the electric-thermal-electric efficiency of the whole system is significantly improved. The auxiliary boiler serves as a source of heat energy supplement when new energy is insufficient, and generates power through the synchronous generator to support power transmission. The thermal battery system of “super-high temperature heat pump + auxiliary boiler + thermal energy storage + synchronous generator” replaces the traditional thermal power and becomes the supporting and regulating power supply of the new energy base. A mixed integer linear programming optimization model is established to calculate the minimum on-grid price under the premise of meeting the external power transmission demand and project economic feasibility, and to optimize the scale and operation mode of each power supply.

[0071] Based on the same inventive concept, according to another aspect of the application, Figure 3As shown, the embodiments of the present application also provide a computer device 30, which comprises a processor 310 and a memory 320, the memory 320 storing a computer program 321 running on the processor, and the processor 310 executes the steps of the above method when executing the program.

[0072] Based on the same inventive concept, according to another aspect of the present application, as Figure 4 As shown, the embodiments of the present application also provide a computer readable storage medium 40, which stores a computer program 410 executed by a processor to execute the above method.

[0073] The embodiments of the present application can also include corresponding computer devices. The computer device comprises a memory, at least one processor, and a computer program stored in the memory and running on the processor, and the processor executes the program to execute any of the above methods.

[0074] The memory serves as a non-volatile computer readable storage medium for storing non-volatile software programs, non-volatile computer programs and modules, such as program instructions / modules in the embodiments of the present application. The processor executes various functions of the device and data processing by running the non-volatile software programs, instructions and modules stored in the memory, i.e. implements the above method.

[0075] The memory can include a program storage area and a data storage area, wherein the program storage area stores an operating system and at least one application program required by a function; the data storage area stores data created according to the use of the device, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state memory device. In the embodiments, the memory includes a memory remotely arranged with respect to the processor, which can be connected to the local module through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0076] Finally, it should be noted that those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the program is stored in a computer readable storage medium. When the program is executed, it includes the processes of the above-mentioned embodiments of the method. The storage medium of the program is a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc. The above-mentioned embodiments of the computer program can achieve the same or similar effects as the corresponding any of the above-mentioned method embodiments.

[0077] Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein can be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans can implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.

[0078] The above are only exemplary embodiments of the present embodiments, but it should be noted that various changes and modifications can be made without departing from the scope of the present embodiments defined by the claims. The functions, steps and / or actions of the method claims described above need not be performed in any particular order. Unless explicitly stated otherwise, the ordinal use of terms such as first, second, etc., in the description above does not reflect an ordinal use of the terms in the description of the embodiments. Furthermore, although the elements of the present embodiments can be described or claimed in individual forms, unless expressly limited to individual form, each element can also be implemented in a plurality of forms.

[0079] It should be understood that, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising", when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0080] Those of ordinary skill in the art will appreciate that the above discussions related to various embodiments are merely illustrative and not intended to suggest restrictive embodiments of the present embodiments (including claims) in all its aspects. Other variations and modifications of the embodiments disclosed herein can be made based on the concepts disclosed herein without departing from the scope of the present embodiments. Accordingly, the scope of the present embodiments should be determined not with the illustrated embodiments but with the appended claims and their equivalents.

Claims

1. A method for power supply and thermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries, characterized in that, include: Modularize the power system of the new energy base, obtain new energy output data, external power demand, power cost data and ultra-high temperature heat pump performance parameters in the power system, and construct a standardized parameter set; The standardized parameter set is input into a preset mixed-integer linear programming model to obtain preliminary capacity configuration results; The preliminary capacity configuration results are subjected to sensitivity verification, and the preliminary capacity configuration results that pass the verification are taken as the optimal capacity configuration results. Optimize the power state based on the optimal capacity configuration results.

2. The method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries according to claim 1, characterized in that, The modules in the modularization of the power system of the new energy base include: photovoltaic, wind power, ultra-high temperature heat pump, electric energy storage, thermal energy storage, auxiliary boiler and thermal power generation system; The power status refers to the scale and operating mode of each module.

3. The method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries according to claim 2, characterized in that, The construction process of the preset mixed-integer linear programming model is as follows: Collect power cost data in a modular power system, obtain the project's internal rate of return requirement, and construct an objective function based on the power cost data and the project's internal rate of return requirement. To construct power balance constraints, acquire data on new energy output and external power load; to construct energy balance constraints, acquire data on the status of electric energy storage and thermal energy storage. The output curve of new energy sources and the demand curve of electricity transmitted to other regions are obtained as boundary conditions.

4. The method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries according to claim 3, characterized in that, The objective function is to minimize the overall on-grid electricity price while meeting the project's internal rate of return requirement. The power balance constraints include: the balance between the input power of new energy sources and the output power of the electrical energy destination; the balance between the thermal power output of ultra-high temperature heat pumps, auxiliary boilers, and thermal energy storage being converted into electrical power through the thermal power generation system; and the balance between the power directly supplied by new energy sources, the electrical power output of electrical energy storage, the electrical power output of the thermal power generation system, and the power supply load. The input power of the new energy source includes the electrical power output of photovoltaic and wind power; The output power of the electrical energy destination includes the power directly supplied, the power entering the electrical energy storage, the power driving the ultra-high temperature heat pump, and the power wasted.

5. The method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries according to claim 1, characterized in that, The step of performing sensitivity verification on the preliminary capacity configuration results includes: The key parameters in the initial capacity configuration are the output of new energy power generation and the load demand, and the variation range is assigned to the key parameters. By designing different combinations of key parameters with varying values ​​through orthogonal experiments, the capacity configuration results under each combination were calculated. The capacity configuration result with the smallest fluctuation within the range of key parameter variations is taken as the initial capacity configuration result that has passed verification.

6. The method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries according to claim 1, characterized in that, The step of acquiring new energy output data, external power transmission demand, power cost data, and ultra-high temperature heat pump performance parameters, and constructing them into a standardized parameter set includes: Acquire data on new energy output, external power demand, and power cost, perform preprocessing, and extract key features; Integrate the aforementioned key features; The parameter set structure is defined based on the electrothermal conversion efficiency and synchronous generator power generation efficiency in the performance parameters of ultra-high temperature heat pumps. The key features are synchronized into the parameter set structure to obtain a standardized parameter set.

7. The method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries according to claim 2, characterized in that, The operating modes of each module are as follows: The ultra-high temperature heat pump is driven by new energy electric power. The heat flow inlet is connected to the waste heat emission end of the power generation system, and the heat flow outlet is connected to the thermal power generation system or thermal energy storage system. The outlet of the auxiliary boiler is connected to a thermal power generation system or a thermal energy storage system to serve as a supplementary heat source; The outlet of the thermal energy storage system is connected to the thermal power generation system.

8. A system for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries, characterized in that, include: The data acquisition unit is configured to modularize the power system of the new energy base, acquire new energy output data, external power demand, power cost data and ultra-high temperature heat pump performance parameters in the power system, and construct a standardized parameter set. The preliminary configuration unit is configured to input the standardized parameter set into a preset mixed integer linear programming model to obtain preliminary capacity configuration results; The verification unit is configured to perform sensitivity verification on the preliminary capacity configuration result, and the preliminary capacity configuration result that passes the verification is taken as the optimal capacity configuration result. An optimization unit is configured to optimize the power state based on the optimal capacity configuration result.

9. Computer equipment, including: At least one processor; And a memory storing a computer program running on the processor, characterized in that, when the processor executes the program, it performs the steps of a method for power supply and electrothermal synergistic planning of a new energy base considering ultra-high temperature heat pump thermal batteries as described in any one of claims 1 to 7.

10. A computer read storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it performs the steps of the method for power supply and electrothermal synergy planning of a new energy base considering ultra-high temperature heat pump thermal batteries as described in any one of claims 1 to 7.

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