Method and device for adjusting load of thermoelectric unit coordinated long-distance heat transfer network driven by electricity price

Abstract

The invention provides an electricity price-driven thermoelectric unit coordinated long-distance transmission heat supply network load adjustment method and device, and the method comprises the steps: obtaining a heat user indoor temperature fluctuation range, building parameters, heat supply network parameters, heat storage system parameters, thermoelectric unit parameters, meteorological parameters and an electricity price signal; calculating the heat storage variation of the heat supply network and the transmission delay time of the heat supply network and the heat storage tank, determining the heat supply steam extraction enthalpy difference, calculating the theoretical heat supply steam extraction flow and the allowable adjustment upper and lower limits, determining the optimal flow in combination with the electricity price signal, and adjusting the execution time sequence to output a real-time instruction.

Description

Technical Field

[0001] The present application belongs to the field of heat network load adjustment, and in particular relates to a method and device for adjusting the load of a thermal power unit in coordination with a long-distance heat network driven by electricity prices. Background Art

[0002] During the winter heating season, coal-fired units typically operate in a combined heat and power (CHP) mode. This "heat-power coupling" mechanism significantly constrains their load regulation capabilities. At the same time, guided by electricity market price signals, coal-fired units can increase power generation during peak periods and reduce load during low-price periods, thereby achieving both economic benefits and flexibility.

[0003] Traditional technologies for improving the flexibility of coal-fired cogeneration units, such as electric boilers and molten salt heat storage, can provide flexibility support to a certain extent, but their actual application scope is limited due to equipment capacity and investment costs. Summary of the Invention

[0004] The purpose of this application is to overcome the defects in the above-mentioned prior art and provide a method and device for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices.

[0005] The present application provides a method for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity prices, comprising:

[0006] Obtain the allowable fluctuation range of indoor temperature of heat users, heat user building parameters, heat network parameters, heat storage system parameters, thermodynamic parameters of thermal power units, meteorological parameters and electricity market price signals;

[0007] Calculating a heat storage change in the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature;

[0008] Calculating the heating network transmission delay time based on the heating network parameters;

[0009] Calculating the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters;

[0010] Determining the difference between the heat supply extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit;

[0011] Calculating a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters;

[0012] Calculating an allowable upper adjustment limit and an allowable lower adjustment limit of the heating extraction steam flow rate based on the heat storage change of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy;

[0013] Determining an optimal heating extraction steam flow rate based on the power market electricity price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate;

[0014] Based on the transmission delay time of the heating network and the transmission delay time of the heat storage tank, the execution timing of the optimal heating steam extraction flow rate is adjusted, and a real-time heating steam extraction instruction is output.

[0015] Optionally, calculating the heat storage change of the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user indoor temperature includes:

[0016] Calculating the building heat capacity value by multiplying the heat user building mass in the heat user building parameters by the specific heat capacity;

[0017] Determining a heat storage change in the heating network based on the building heat capacity and the allowable temperature boundary difference;

[0018] The allowable temperature boundary difference includes: the difference between the upper limit of the indoor temperature of the heat user and the current indoor temperature, and the difference between the current indoor temperature and the lower limit of the indoor temperature of the heat user.

[0019] Optionally, calculating the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters includes:

[0020] The heating network transmission delay time is determined by the product of the heating network delay coefficient, the heating network length and the heating network circulating water flow rate.

[0021] Optionally, calculating the theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters includes:

[0022] The basic heat load is calculated by multiplying the building's heating area by the heating index;

[0023] Determine the correction factor based on the difference between the indoor calculated temperature and the outdoor calculated temperature and the actual outdoor temperature;

[0024] Multiplying the basic heat load by the correction factor to obtain the actual heat load;

[0025] Convert the actual heat load into the theoretical heating extraction steam flow.

[0026] Optionally, based on the heat storage change of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heat extraction steam enthalpy and the return water enthalpy, calculating the allowable upper and lower adjustment limits of the heat extraction steam flow rate includes:

[0027] Adding the heat storage change of the heating network to the capacity of the heat storage system to obtain the total available heat storage;

[0028] The total adjustable heat storage capacity is divided by the difference between the heat extraction steam enthalpy and the return water enthalpy to obtain the adjustable flow range;

[0029] Adding the theoretical heating extraction steam flow rate to the adjustable flow rate range to generate an allowable adjustment upper limit;

[0030] The theoretical heating extraction steam flow rate is subtracted from the adjustable flow rate range to generate the allowable adjustment lower limit.

[0031] Optionally, determining the optimal heating extraction steam flow rate based on the power market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate includes:

[0032] Establish an optimization function with the goal of maximizing electricity market revenue;

[0033] Using the allowable adjustment upper limit and the allowable adjustment lower limit as inequality constraints of the optimization function, and using the conservation of total heat supply as an equality constraint;

[0034] Convert the operating domain constraints of the thermal power unit into linear boundary conditions of power generation and heating extraction steam flow;

[0035] The optimization function is solved to obtain the optimal heating extraction steam flow rate.

[0036] Optionally, it also includes:

[0037] Based on the transmission delay time of the heat network, time shift compensation is performed on the optimal heating extraction steam flow rate;

[0038] Generate heat storage tank charging and discharging timing instructions based on the heat storage tank transmission delay time;

[0039] The heat storage tank heat charging and discharging timing instructions are executed synchronously with the time-shifted heat supply and steam extraction instructions.

[0040] Optionally, the heating network delay coefficient represents the heat transfer delay characteristics of the heating network pipeline structure, and the heat storage tank distance is the physical pipeline length from the heat storage device to the thermal power unit.

[0041] The present application also provides a device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity prices, comprising:

[0042] Acquisition module, which obtains the allowable fluctuation range of indoor temperature of heat users, heat user building parameters, heat network parameters, heat storage system parameters, thermodynamic parameters of thermal power units, meteorological parameters and electricity market price signals;

[0043] A heat storage module calculates a heat storage change in the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature;

[0044] A time module, which calculates the heating network transmission delay time based on the heating network parameters;

[0045] a delay module, which calculates the transmission delay time of the heat storage tank based on the heat storage tank distance in the heat storage system parameters;

[0046] A difference module, which determines the difference between the heat supply extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit;

[0047] A flow module, which calculates a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters;

[0048] a limit module for calculating an allowable upper limit and a allowable lower limit of the heating extraction steam flow rate based on the change in heat storage of the heating network, the capacity of the heat storage system in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy;

[0049] an adjustment module, which determines an optimal heating extraction steam flow rate based on the electricity market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate;

[0050] The instruction module adjusts the execution timing of the optimal heating steam extraction flow rate based on the heating network transmission delay time and the heat storage tank transmission delay time, and outputs a real-time heating steam extraction instruction.

[0051] Optionally, the heat storage module calculates the heat storage change of the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature, including:

[0052] Calculating the building heat capacity value by multiplying the heat user building mass in the heat user building parameters by the specific heat capacity;

[0053] Determining a heat storage change in the heating network based on the building heat capacity and the allowable temperature boundary difference;

[0054] The allowable temperature boundary difference includes: the difference between the upper limit of the indoor temperature of the heat user and the current indoor temperature, and the difference between the current indoor temperature and the lower limit of the indoor temperature of the heat user.

[0055] Optionally, the time module calculates the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters, including:

[0056] The heating network transmission delay time is determined by the product of the heating network delay coefficient, the heating network length and the heating network circulating water flow rate.

[0057] Optionally, the flow module calculates the theoretical heating extraction steam flow based on the meteorological parameters and the heat user building parameters, including:

[0058] The basic heat load is calculated by multiplying the building's heating area by the heating index;

[0059] Determine the correction factor based on the difference between the indoor calculated temperature and the outdoor calculated temperature and the actual outdoor temperature;

[0060] Multiplying the basic heat load by the correction factor to obtain the actual heat load;

[0061] Convert the actual heat load into the theoretical heating extraction steam flow.

[0062] Optionally, the limit module calculates an allowable upper limit and a allowable lower limit of the heating extraction steam flow rate based on the heat storage change of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy, including:

[0063] Adding the heat storage change of the heating network to the capacity of the heat storage system to obtain the total available heat storage;

[0064] The total adjustable heat storage capacity is divided by the difference between the heat extraction steam enthalpy and the return water enthalpy to obtain the adjustable flow range;

[0065] Adding the theoretical heating extraction steam flow rate to the adjustable flow rate range to generate an allowable adjustment upper limit;

[0066] The theoretical heating extraction steam flow rate is subtracted from the adjustable flow rate range to generate the allowable adjustment lower limit.

[0067] Optionally, the adjustment module determines the optimal heating extraction steam flow rate based on the power market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate, including:

[0068] Establish an optimization function with the goal of maximizing electricity market revenue;

[0069] Using the allowable adjustment upper limit and the allowable adjustment lower limit as inequality constraints of the optimization function, and using the conservation of total heat supply as an equality constraint;

[0070] Convert the operating domain constraints of the thermal power unit into linear boundary conditions of power generation and heating extraction steam flow;

[0071] The optimization function is solved to obtain the optimal heating extraction steam flow rate.

[0072] Optionally, the system further includes a compensation module configured to:

[0073] Based on the transmission delay time of the heat network, time shift compensation is performed on the optimal heating extraction steam flow rate;

[0074] Generate heat storage tank charging and discharging timing instructions based on the heat storage tank transmission delay time;

[0075] The heat storage tank heat charging and discharging timing instructions are executed synchronously with the time-shifted heat supply and steam extraction instructions.

[0076] Optionally, the heating network delay coefficient represents the heat transfer delay characteristics of the heating network pipeline structure, and the heat storage tank distance is the physical pipeline length from the heat storage device to the thermal power unit.

[0077] The beneficial effects of this application are:

[0078] The present application provides a method for adjusting the load of a thermal power unit in a coordinated long-distance heat transmission network driven by electricity price, comprising: obtaining the allowable fluctuation range of the indoor temperature of the heat user, the building parameters of the heat user, the heat network parameters, the heat storage system parameters, the thermodynamic parameters of the thermal power unit, the meteorological parameters and the electricity price signal of the power market; calculating the heat storage change of the heat network based on the heat user building parameters and the allowable fluctuation range of the indoor temperature of the heat user; calculating the heat network transmission delay time based on the heat network parameters; calculating the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters; determining the heat extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit difference; based on the meteorological parameters and the building parameters of the heat user, calculate the theoretical heating extraction steam flow; based on the heat storage change of the heat network, the heat storage system capacity in the heat storage system parameters and the difference between the heating extraction steam enthalpy and the return water enthalpy, calculate the allowable adjustment upper limit and the allowable adjustment lower limit of the heating extraction steam flow; based on the electricity market electricity price signal, the allowable adjustment upper limit, the allowable adjustment lower limit and the theoretical heating extraction steam flow, determine the optimal heating extraction steam flow; based on the heating network transmission delay time and the heat storage tank transmission delay time, adjust the execution timing of the optimal heating extraction steam flow, and output a real-time heating extraction instruction. This application utilizes the complementarity of the thermal inertia of the heating network and the power generation regulation characteristics of the thermal power unit, and realizes the coordinated optimization of the thermal power unit and the long-distance transmission heat network without affecting the comfort of the heat users, thereby improving the flexibility and economic benefits of the unit, adapting to the electricity market electricity price signal, and effectively promoting the consumption of renewable energy and efficient energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 This is a schematic diagram of load adjustment of the thermal power unit in coordination with the long-distance heat transmission network in this application;

[0080] Figure 2 This is a schematic diagram of the theoretical heating steam extraction flow curve of the thermal power unit in this application;

[0081] Figure 3 This is a schematic diagram of the upper and lower limits of the allowable adjustment of the actual heating extraction steam flow curve of the thermal power unit in this application;

[0082] Figure 4 This is a schematic diagram of the theoretical heating steam extraction flow curve of the thermal power unit in this application;

[0083] Figure 5 This is a schematic diagram of the hourly power generation of the thermal power unit in this application;

[0084] Figure 6 This is a schematic diagram of the hourly heating and steam extraction capacity of the thermal power unit in this application;

[0085] Figure 7 It is a schematic diagram of the hourly operating status of the heat storage tank in this application. DETAILED DESCRIPTION

[0086] The following describes exemplary embodiments of the present application in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the accompanying drawings, it is understood that various forms of implementation of the present application should not be limited by the embodiments set forth herein. Rather, the embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0087] In a typical embodiment of the present application, it involves a subcritical 330MW extraction condensing thermal power unit, a heating source station, a long-distance heat transmission network (including a primary heat network, a heat exchange station, and a secondary heat network), and a heat user.

[0088] By utilizing the complementarity between the thermal inertia of the heating network and the rapid adjustment characteristics of thermal power generation units, using electricity prices as the driving force, and fully mobilizing the heat storage capacity of the heating network, the operation of thermal power units can be optimized in advance without affecting the comfort of heat users, achieving a dual improvement in unit flexibility and economic benefits.

[0089] Please refer to Figures 1 to 7 As shown, the present application provides a method for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price, comprising:

[0090] S101. Obtain the allowable fluctuation range of indoor temperature of heat users, heat user building parameters, heat network parameters, heat storage system parameters, thermodynamic parameters of thermal power units, meteorological parameters, and power market electricity price signals;

[0091] Construct a thermodynamic model of coal-fired thermal power units and a long-distance heat transmission network model including heat users.

[0092] A thermodynamic model of a coal-fired thermal power unit was constructed to obtain the relationship between the unit's heat extraction steam volume and power generation. The specific results of the modeling using the steam-water balance equation are as follows:

[0093] The power generation capacity of the thermal power unit is:

[0094]

[0095] The heating power of the thermal power unit is:

[0096]

[0097] The power change caused by changing the unit heating steam extraction capacity of the thermal power unit is:

[0098]

[0099] Where:

[0100]

[0101] Among them, P CHP The power generated by the thermal power unit, is the feed water mass flow rate, is the steam mass flow rate at different extraction ports of the steam turbine, is the mass flow rate of heating extraction steam, Q CHP The heating power of the thermal power unit, ΔP CHP is the change in generated power, is the change in the heating extraction steam flow rate. is the flow rate change of each steam extraction port.

[0102] S102. Calculating a heat storage change in the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature;

[0103] The change in heat storage in the heat network is calculated based on the building heat capacity and the allowable temperature boundary difference. The building heat capacity is obtained by multiplying the mass of the heat user's building by the specific heat capacity.

[0104] The temperature allowable boundary difference refers to the actual deviation between the user's temperature allowable fluctuation range and the current room temperature.

[0105] According to the heat user parameters and weather data, calculate the theoretical heat extraction steam flow curve of the thermal power unit, as shown in the attached Figure 2 shown.

[0106] Heat user parameters are as follows: For residential areas where no energy-saving measures are taken, the heating index is 45W / m 2 , heating area is 5.32×106m 2 .

[0107] S103, calculating the heating network transmission delay time based on the heating network parameters;

[0108] The long-distance heat transmission network model including heat users is constructed and divided into three parts: primary heat network, secondary heat network, and heat users. The details are as follows:

[0109] Primary heating network: The temperature transmission delay time of the primary heating network and the pipeline temperature loss are:

[0110]

[0111] Among them, Tdelay is the heating network transmission delay time, Δt loss In the calculation of the heating network temperature loss and the transmission delay time of the heating network, the heating network length L is provided by the heating network parameters. This coefficient characterizes the pipeline heat transfer delay characteristics.

[0112] Secondary heat network: The secondary heat network of the long-distance heat transmission network is much shorter than the primary heat network. Therefore, the pure delay link of the temperature transmission of the secondary heat network is ignored. Only the inertia delay caused by the heat exchange station between the primary heat network and the secondary heat network is considered. The simplified transfer function is expressed as follows:

[0113]

[0114] Where s is a complex frequency domain variable.

[0115] The established thermal power unit and long-distance heat transmission network model obtains the corresponding relationship between the change in indoor temperature of heat users after the change in the thermal power unit's heat extraction steam volume, as shown in the following formula

[0116]

[0117] Where Δt user is the change in indoor temperature of the heat user, and the change in heating extraction steam flow rate is the change in heating extraction steam flow rate.

[0118] Weather data are shown in Table 1.

[0119] S104, calculating the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters;

[0120] The heat storage tank transmission delay time is calculated based on the heating network delay coefficient, the heat storage tank distance and the heating network circulating water flow rate.

[0121] T 储热延迟 =K 延迟 ×L 储热 / v 水流

[0122] Among them, K 延迟 is the heating network delay coefficient, L 储热 is the distance from the heat storage tank, v 水流 is the circulating water flow rate of the heating network.

[0123] S105. Determine the difference between the heat supply extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit;

[0124] The enthalpy difference is determined to be a fixed value by the thermodynamic model of the thermal power unit:

[0125] Δh=h h -h D =2529kJ / kg

[0126] Among them, hh is the specific enthalpy of heating extraction steam, h D is the return water specific enthalpy.

[0127] The difference between the heat extraction steam enthalpy and the return water enthalpy is determined to be 2529 kJ / kg based on the thermodynamic parameters of the thermal power unit.

[0128] S106. Calculating a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters;

[0129] Table 1 Hourly weather data and theoretical heating extraction steam flow

[0130]

[0131] After calculating the coordinated long-distance heat transmission network regulation, the allowable upper and lower limits of the heat extraction steam curve of the thermal power unit are determined without affecting the thermal user experience.

[0132] In this application, the primary heat network has a length of 40 km and includes a 15MW / 90MWh heat storage tank located 10 km from the thermal power plant.

[0133] S107, calculating an allowable upper adjustment limit and an allowable lower adjustment limit of the heating extraction steam flow rate based on the change in heat storage of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy;

[0134] In the calculation of the allowable adjustment upper and lower limits, the total available heat storage capacity is the sum of the heat storage change of the heating network and the capacity of the heat storage system, and the adjustable flow range is obtained by dividing the total available heat storage capacity by the enthalpy difference.

[0135] The upper limit of allowable adjustment of the extraction steam capacity curve of thermal power units is:

[0136]

[0137] The allowable lower limit of adjustment of the extraction steam capacity curve for thermal power units is:

[0138]

[0139] in, They are the upper and lower limits of the allowable adjustment of the heating extraction steam flow rate, is the theoretical heating extraction steam flow rate, ΔQ DHN,up is the change in heat storage in the heating network, Q TES is the capacity of the heat storage system, h h is the specific enthalpy of heating extraction steam, h D is the return water specific enthalpy.

[0140] An optimization model for the thermal power units coordinated with the long-distance heat transmission network is established and solved to obtain the hourly power generation power and heating steam extraction capacity of the thermal power units.

[0141] S108, determining an optimal heating extraction steam flow rate based on the power market electricity price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate;

[0142] The conservation of total heat supply means that the actual total heat supply during the optimization period is equal to the theoretical total heat supply.

[0143] To maximize the benefits of thermal power units in the electricity market, as shown in the following formula:

[0144]

[0145] Among them, F represents the total revenue, Y elec is the on-grid electricity price, Y heat is the heating price, Y coal is the coal price, B CHP Coal consumption.

[0146] One day's data is selected for calculation, and the on-grid electricity price data of the thermal power units on that day is shown in Table 2.

[0147] Table 2 Hourly on-grid electricity prices for thermal power units

[0148]

[0149]

[0150] The constraints include the thermal power unit operating domain constraints, the upper and lower limits of the allowable adjustment of the heating extraction steam flow considering the comfort of heat users, and the total time period heat supply conservation constraint, which are expressed as follows:

[0151] 1- Operation domain constraints of thermal power unit: The operation domain of thermal power unit is as shown in the attached Figure 4 As shown in Figure 2, the power generation and heating extraction steam flow rate should satisfy the following mathematical relationship:

[0152]

[0153] Where P is the generated power, is the extraction steam flow for heating.

[0154] 2- Upper and lower limits of allowable adjustment of heating extraction steam flow considering heat user comfort: When the thermal power unit operates in conjunction with the long-distance heat transmission network and the heat storage tank within the heat network system, the heating extraction steam flow should deviate from the theoretical heating extraction steam flow within the allowable upper and lower limits, as shown in the following formula:

[0155]

[0156] Where, is the theoretical heating steam extraction capacity. For specific values ​​in each time period, please refer to Table 2.

[0157] 3. Conservation of heat supply over the entire period: Considering that the network's heat storage must be restored to its original level after unit flexibility adjustments are completed by utilizing the network's heat storage, the cumulative actual heat extraction steam capacity of the thermal power units over the entire optimization period must be kept equal to the theoretical heat extraction steam capacity. In other words, any undersupply of heat extraction steam from the units during peak periods should be compensated by increasing heat extraction steam capacity after the peak period ends. This is shown in the following formula.

[0158]

[0159] in, is the actual heating extraction steam flow rate, is the theoretical heating extraction steam flow rate.

[0160] The Cplex toolbox is used to solve the mixed integer optimization problem. The optimization results are shown in the attached figure. Figure 5 , Attachment Figure 6 The hourly power generation of thermal power units is shown in the attached Figure 5 ; See the attached for the hourly heating steam extraction capacity of the thermal power unit Figure 6 .

[0161] When the electricity price is low (9:00-16:00), the heating steam extraction volume of the unit after optimization is greater than that before optimization, and is close to the upper limit of the allowable adjustment. At this time, the unit's power generation capacity is reduced, and the heat storage capacity of the heating network and the heat storage tank is increased; when the electricity price is high (17:00-21:00), the heat storage capacity of the heating network and the heat storage tank is released. At this time, the heating steam extraction volume of the unit after optimization is less than that before optimization, and is close to the lower limit of the allowable adjustment. At this time, the unit's power generation capacity is increased, which significantly improves the unit's peak capacity and revenue when the electricity price is high.

[0162] When the thermal power units were operated solely in conjunction with the long-distance heat transmission network, without considering the role of thermal storage tanks, the optimized revenue reached 1.065 million yuan, an increase of 39,000 yuan compared to the pre-optimization rate of 1.026 million yuan, a 3.8% increase. When the thermal power units were operated in conjunction with both the long-distance heat transmission network and the thermal storage tanks, the optimized revenue reached 1.089 million yuan, an increase of 63,000 yuan compared to the pre-optimization rate of 1.026 million yuan, a 6.1% increase. These results demonstrate that thermal storage tanks can increase the available heat storage capacity of the heat transmission network, thereby increasing the revenue generated by the thermal power units in conjunction with the long-distance heat transmission network.

[0163] According to the location of the heat storage tank in the heat network system, the heat network water temperature transmission delay time from the thermal power unit to the heat storage tank is calculated by the following formula, and the real-time operation plan of the heat storage tank is output, as shown in the attached figure. Figure 7 shown.

[0164] S109: Based on the transmission delay time of the heating network and the transmission delay time of the heat storage tank, adjusting the execution timing of the optimal heating steam extraction flow rate, and outputting a real-time heating steam extraction instruction.

[0165] Heating network delay compensation: Based on the calculated heating network transmission delay time T delay , time-shift the optimal heating extraction steam flow instruction to offset the transmission lag of the heating network.

[0166] Heat storage tank instruction synchronization: Based on the calculated heat storage tank transmission delay time, the heat storage tank charging and discharging timing instructions are generated to ensure that they are executed synchronously with the time-shifted heat supply and steam extraction instructions.

[0167] The real-time heating steam extraction instructions and heat storage tank charging and discharging instructions after output compensation realize the spatiotemporal coordination of heat source and load, wherein the instruction lag caused by the transmission delay of the heat network is offset by time shift compensation.

[0168] The present application also provides a device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity prices, comprising:

[0169] Acquisition module, which obtains the allowable fluctuation range of indoor temperature of heat users, heat user building parameters, heat network parameters, heat storage system parameters, thermodynamic parameters of thermal power units, meteorological parameters and electricity market price signals;

[0170] A heat storage module calculates a heat storage change in the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature;

[0171] A time module, which calculates the heating network transmission delay time based on the heating network parameters;

[0172] a delay module, which calculates the transmission delay time of the heat storage tank based on the heat storage tank distance in the heat storage system parameters;

[0173] A difference module, which determines the difference between the heat supply extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit;

[0174] A flow module, which calculates a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters;

[0175] a limit module for calculating an allowable upper limit and a allowable lower limit of the heating extraction steam flow rate based on the change in heat storage of the heating network, the capacity of the heat storage system in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy;

[0176] an adjustment module, which determines an optimal heating extraction steam flow rate based on the electricity market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate;

[0177] The instruction module adjusts the execution timing of the optimal heating steam extraction flow rate based on the heating network transmission delay time and the heat storage tank transmission delay time, and outputs a real-time heating steam extraction instruction.

[0178] Furthermore, the heat storage module calculates the heat storage change of the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature, including:

[0179] Calculating the building heat capacity value by multiplying the heat user building mass in the heat user building parameters by the specific heat capacity;

[0180] Determining a heat storage change in the heating network based on the building heat capacity and the allowable temperature boundary difference;

[0181] The allowable temperature boundary difference includes: the difference between the upper limit of the indoor temperature of the heat user and the current indoor temperature, and the difference between the current indoor temperature and the lower limit of the indoor temperature of the heat user.

[0182] Furthermore, the time module calculates the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters, including:

[0183] The heating network transmission delay time is determined by the product of the heating network delay coefficient, the heating network length and the heating network circulating water flow rate.

[0184] Furthermore, the flow module calculates the theoretical heating extraction steam flow based on the meteorological parameters and the heat user building parameters, including:

[0185] The basic heat load is calculated by multiplying the building's heating area by the heating index;

[0186] Determine the correction factor based on the difference between the indoor calculated temperature and the outdoor calculated temperature and the actual outdoor temperature;

[0187] Multiplying the basic heat load by the correction factor to obtain the actual heat load;

[0188] Convert the actual heat load into the theoretical heating extraction steam flow.

[0189] Furthermore, the limit module calculates an allowable upper limit and a allowable lower limit of the heating extraction steam flow rate based on the change in heat storage of the heating network, the capacity of the heat storage system in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy, including:

[0190] Adding the heat storage change of the heating network to the capacity of the heat storage system to obtain the total available heat storage;

[0191] The total adjustable heat storage capacity is divided by the difference between the heat extraction steam enthalpy and the return water enthalpy to obtain the adjustable flow range;

[0192] Adding the theoretical heating extraction steam flow rate to the adjustable flow rate range to generate an allowable adjustment upper limit;

[0193] The theoretical heating extraction steam flow rate is subtracted from the adjustable flow rate range to generate the allowable adjustment lower limit.

[0194] Furthermore, the adjustment module determines the optimal heating extraction steam flow rate based on the power market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate, including:

[0195] Establish an optimization function with the goal of maximizing electricity market revenue;

[0196] Using the allowable adjustment upper limit and the allowable adjustment lower limit as inequality constraints of the optimization function, and using the conservation of total heat supply as an equality constraint;

[0197] Convert the operating domain constraints of the thermal power unit into linear boundary conditions of power generation and heating extraction steam flow;

[0198] The optimization function is solved to obtain the optimal heating extraction steam flow rate.

[0199] Furthermore, the system further includes a compensation module configured to:

[0200] Based on the transmission delay time of the heat network, time shift compensation is performed on the optimal heating extraction steam flow rate;

[0201] Generate heat storage tank charging and discharging timing instructions based on the heat storage tank transmission delay time;

[0202] The heat storage tank heat charging and discharging timing instructions are executed synchronously with the time-shifted heat supply and steam extraction instructions.

[0203] Furthermore, the heating network delay coefficient represents the heat transfer delay characteristics of the heating network pipeline structure, and the heat storage tank distance is the physical pipeline length from the heat storage device to the thermal power unit.

[0204] The above description of the embodiments is intended to facilitate understanding and application of this application by those skilled in the art. It will be readily apparent to those skilled in the art that various modifications to the above embodiments can be made, and the general principles described herein can be applied to other embodiments without requiring creative effort. Therefore, this application is not limited to the above embodiments. Any improvements or modifications made to this application by those skilled in the art based on the disclosure of this application should fall within the scope of protection of this application.

Claims

1. A method for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices, characterized in that: include: Obtain the allowable fluctuation range of indoor temperature of heat users, heat user building parameters, heat network parameters, heat storage system parameters, thermodynamic parameters of thermal power units, meteorological parameters and electricity market price signals; Calculating a heat storage change in the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature; Calculating the heating network transmission delay time based on the heating network parameters; Calculating the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters; Determining the difference between the heat supply extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit; Calculating a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters; Calculating an allowable upper adjustment limit and an allowable lower adjustment limit of the heating extraction steam flow rate based on the heat storage change of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy; Determining an optimal heating extraction steam flow rate based on the power market electricity price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate; Based on the transmission delay time of the heating network and the transmission delay time of the heat storage tank, the execution timing of the optimal heating steam extraction flow rate is adjusted, and a real-time heating steam extraction instruction is output.

2. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices according to claim 1, characterized in that: Calculating the heat storage change of the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature includes: Calculating the building heat capacity value by multiplying the heat user building mass in the heat user building parameters by the specific heat capacity; Determining a heat storage change in the heating network based on the building heat capacity and the allowable temperature boundary difference; The allowable temperature boundary difference includes: the difference between the upper limit of the indoor temperature of the heat user and the current indoor temperature, and the difference between the current indoor temperature and the lower limit of the indoor temperature of the heat user.

3. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices according to claim 1, characterized in that: Calculating the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters includes: The heating network transmission delay time is determined by the product of the heating network delay coefficient, the heating network length and the heating network circulating water flow rate.

4. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices according to claim 1, characterized in that: Calculating a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters includes: The basic heat load is calculated by multiplying the building's heating area by the heating index; Determine the correction factor based on the difference between the indoor calculated temperature and the outdoor calculated temperature and the actual outdoor temperature; Multiplying the basic heat load by the correction factor to obtain the actual heat load; Convert the actual heat load into the theoretical heating extraction steam flow.

5. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission network driven by electricity price according to claim 1 is characterized in that: Calculating the allowable upper and lower adjustment limits of the heating extraction steam flow rate based on the heat storage change of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy, including: Adding the heat storage change of the heating network to the capacity of the heat storage system to obtain the total available heat storage; The total adjustable heat storage capacity is divided by the difference between the heat extraction steam enthalpy and the return water enthalpy to obtain the adjustable flow range; Adding the theoretical heating extraction steam flow rate to the adjustable flow rate range to generate an allowable adjustment upper limit; The theoretical heating extraction steam flow rate is subtracted from the adjustable flow rate range to generate the allowable adjustment lower limit.

6. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices according to claim 1, characterized in that: Determining an optimal heating extraction steam flow rate based on the power market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate includes: Establish an optimization function with the goal of maximizing electricity market revenue; Using the allowable adjustment upper limit and the allowable adjustment lower limit as inequality constraints of the optimization function, and using the conservation of total heat supply as an equality constraint; Convert the operating domain constraints of the thermal power unit into linear boundary conditions of power generation and heating extraction steam flow; The optimization function is solved to obtain the optimal heating extraction steam flow rate.

7. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission network driven by electricity price according to claim 1 is characterized in that: Also includes: Based on the transmission delay time of the heat network, time shift compensation is performed on the optimal heating extraction steam flow rate; Generate heat storage tank charging and discharging timing instructions based on the heat storage tank transmission delay time; The heat storage tank heat charging and discharging timing instructions are executed synchronously with the time-shifted heat supply and steam extraction instructions.

8. The method for adjusting the load of thermal power units in coordination with long-distance heat transmission networks driven by electricity prices according to claim 3 is characterized in that: The heating network delay coefficient represents the heat transfer delay characteristics of the heating network pipeline structure, and the heat storage tank distance is the physical pipeline length from the heat storage device to the thermal power unit.

9. A device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price, characterized in that: include: Acquisition module, which obtains the allowable fluctuation range of indoor temperature of heat users, heat user building parameters, heat network parameters, heat storage system parameters, thermodynamic parameters of thermal power units, meteorological parameters and electricity market price signals; A heat storage module calculates a heat storage change in the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature; A time module, which calculates the heating network transmission delay time based on the heating network parameters; a delay module, which calculates the transmission delay time of the heat storage tank based on the heat storage tank distance in the heat storage system parameters; A difference module, which determines the difference between the heat supply extraction steam enthalpy and the return water enthalpy based on the thermodynamic parameters of the thermal power unit; A flow module, which calculates a theoretical heating extraction steam flow rate based on the meteorological parameters and the heat user building parameters; a limit module for calculating an allowable upper limit and a allowable lower limit of the heating extraction steam flow rate based on the change in heat storage of the heating network, the capacity of the heat storage system in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy; an adjustment module, which determines an optimal heating extraction steam flow rate based on the electricity market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate; The instruction module adjusts the execution timing of the optimal heating steam extraction flow rate based on the heating network transmission delay time and the heat storage tank transmission delay time, and outputs a real-time heating steam extraction instruction.

10. The device for adjusting the load of thermal power units and long-distance heat transmission network driven by electricity price according to claim 9, characterized in that: The heat storage module calculates the heat storage change of the heat network based on the heat user building parameters and the allowable fluctuation range of the heat user's indoor temperature, including: Calculating the building heat capacity value by multiplying the heat user building mass in the heat user building parameters by the specific heat capacity; Determining a heat storage change in the heating network based on the building heat capacity and the allowable temperature boundary difference; The allowable temperature boundary difference includes: the difference between the upper limit of the indoor temperature of the heat user and the current indoor temperature, and the difference between the current indoor temperature and the lower limit of the indoor temperature of the heat user.

11. The device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price according to claim 9, characterized in that: The time module calculates the heat storage tank transmission delay time based on the heat storage tank distance in the heat storage system parameters, including: The heating network transmission delay time is determined by the product of the heating network delay coefficient, the heating network length and the heating network circulating water flow rate.

12. The device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price according to claim 9, characterized in that: The flow module calculates the theoretical heating extraction steam flow based on the meteorological parameters and the heat user building parameters, including: The basic heat load is calculated by multiplying the building's heating area by the heating index; Determine the correction factor based on the difference between the indoor calculated temperature and the outdoor calculated temperature and the actual outdoor temperature; Multiplying the basic heat load by the correction factor to obtain the actual heat load; Convert the actual heat load into the theoretical heating extraction steam flow.

13. The device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price according to claim 9, characterized in that: The limit module calculates an allowable upper limit and a allowable lower limit of the heating extraction steam flow rate based on the heat storage change of the heating network, the heat storage system capacity in the heat storage system parameters, and the difference between the heating extraction steam enthalpy and the return water enthalpy, including: Adding the heat storage change of the heating network to the capacity of the heat storage system to obtain the total available heat storage; The total adjustable heat storage capacity is divided by the difference between the heat extraction steam enthalpy and the return water enthalpy to obtain the adjustable flow range; Adding the theoretical heating extraction steam flow rate to the adjustable flow rate range to generate an allowable adjustment upper limit; The theoretical heating extraction steam flow rate is subtracted from the adjustable flow rate range to generate the allowable adjustment lower limit.

14. The device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price according to claim 9, characterized in that: The adjustment module determines the optimal heating extraction steam flow rate based on the power market price signal, the allowable adjustment upper limit, the allowable adjustment lower limit, and the theoretical heating extraction steam flow rate, including: Establish an optimization function with the goal of maximizing electricity market revenue; Using the allowable adjustment upper limit and the allowable adjustment lower limit as inequality constraints of the optimization function, and using the conservation of total heat supply as an equality constraint; Convert the operating domain constraints of the thermal power unit into linear boundary conditions of power generation and heating extraction steam flow; The optimization function is solved to obtain the optimal heating extraction steam flow rate.

15. The device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price according to claim 9, characterized in that: Also includes: Compensation modules for: Based on the transmission delay time of the heat network, time shift compensation is performed on the optimal heating extraction steam flow rate; Generate heat storage tank charging and discharging timing instructions based on the heat storage tank transmission delay time; The heat storage tank heat charging and discharging timing instructions are executed synchronously with the time-shifted heat supply and steam extraction instructions.

16. The device for adjusting the load of a thermal power unit in coordination with a long-distance heat transmission network driven by electricity price according to claim 11, characterized in that: The heating network delay coefficient represents the heat transfer delay characteristics of the heating network pipeline structure, and the heat storage tank distance is the physical pipeline length from the heat storage device to the thermal power unit.

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