An industrial steam supply power station time-sharing steam price optimization adjustment method and related device

Abstract

The application discloses a kind of industrial steam supply power station time-sharing steam price optimization adjustment method and related device, comprising: according to the coal power output characteristic curve in region, coal power unit electric output interval is divided;According to coal-fired industrial steam supply unit, the first correlation characteristic of steam load and power generation output and the second correlation characteristic of steam load, power generation output and standard coal consumption are determined;According to the first correlation characteristic and the second correlation characteristic, the benchmark steam price of industrial steam supply is obtained;According to electric output scene, benchmark heat price is adjusted, and the time-sharing steam price optimization adjustment of industrial steam supply power station is realized.The application reduces industrial steam consumption in peak section and valley section period steam price high section, and increases industrial steam consumption in average section steam price low section, which on the one hand improves the profitability of unit in new energy system mainly with wind and light, and on the other hand uses less high-price steam in peak section and valley section of coal power output, and uses more low-price steam in average section of coal power output, to reduce steam cost itself.

Description

Technical Field

[0001] This invention belongs to the technical field of economic operation of coal-fired industrial steam power plants, and relates to a method and related device for optimizing and adjusting the time-of-use steam price of industrial steam power plants. Background Technology

[0002] A unified electricity market system can accelerate the transformation of the power industry, promote the sharing and mutual assistance of electricity resources and optimize their allocation on a larger scale, enhance the stability and flexible adjustment capabilities of the power system, and achieve clean and low-carbon energy transformation and high-quality development at a lower cost through market-based means. The key lies in continuously promoting the construction of the medium- and long-term electricity market, actively and steadily advancing the construction of the electricity spot market, and continuously improving the electricity ancillary services market. Ultimately, this will form an electricity market system that uses medium- and long-term transactions to mitigate risks, uses spot transactions to centrally optimize the allocation of electricity resources, and discovers true price signals.

[0003] The electricity spot market is a core component of the electricity market system and a crucial step in improving the market-based trading of electricity. While the proportion of renewable energy sources such as wind and solar power is becoming increasingly significant, the intermittent and volatile nature of renewable energy presents new challenges to the power grid. As an important market component for renewable energy consumption, the electricity spot market can flexibly, quickly, and accurately reflect real-time changes in electricity market demand, effectively realizing the consumption of renewable energy and promoting the market-based development of the electricity market.

[0004] In different regions, the power generation characteristics and flexibility of coal-fired power, hydropower, wind power, solar power, nuclear power, gas power, and biomass power vary significantly. Their contribution to the power system and their regulatory value differ considerably. New energy sources like wind and solar power have a higher installed capacity and exhibit greater time-varying power generation characteristics. If flexible power sources like pumped storage and gas power have a lower proportion, the pressure on coal-fired power for flexible regulation is greater. On the user side, the proportion of electricity consumption differs between industrial production and residential use, resulting in significant differences in consumption characteristics. If residential electricity consumption is high, the distribution of electricity load with seasonal and temporal variations is relatively fixed; conversely, it is more uncertain. In new power systems, coal-fired power units are required to have a wide operating range and a rapid load adjustment rate to dynamically and quickly adapt to the time-varying output of new energy sources. During periods of high new energy generation and low electricity prices, power generation should be reduced as much as possible to minimize losses; during periods of low new energy generation and high electricity prices, power generation should be increased as much as possible to improve profitability. However, to broaden the operational models of coal-fired power units, most units also supply steam and heating for industrial production and residential use in surrounding areas. This results in strong thermoelectric coupling characteristics and a "narrow and flat" power output phenomenon, where power generation cannot be increased during peak hours and cannot be reduced during off-peak hours. High-priced electricity is not profitable, while low-priced electricity leads to increasing losses, significantly reducing profitability. Unlike residential heating, which is primarily for essential public services, industrial steam supply prices are entirely market-driven, determined by negotiation between suppliers and consumers. Developing reasonable time-of-use steam prices could guide industrial steam users to adjust their production methods and steam consumption, facilitating time-of-use thermoelectric decoupling for coal-fired industrial steam power plants. This could improve their profitability within the new energy system, and the benefits could be passed on to heat users through time-of-use pricing. However, such research has not yet been publicly reported. Summary of the Invention

[0005] The purpose of this invention is to solve the problem that the existing technology of coal-fired industrial steam power plants suffers from thermoelectric coupling in external steam supply, resulting in a narrow range of power output adjustment and low electricity price and profitability competitiveness in the spot market. This invention provides a method and related device for optimizing and adjusting the time-of-use steam price of industrial steam power plants. By guiding heat users to change their steam consumption through time-of-use steam price differences, this invention can broaden the operating range of power output of coal-fired industrial steam power plants. Compared with the fixed steam price model, the extra profit in the spot market is evenly distributed between the supply and demand sides.

[0006] To achieve the above objectives, the present invention employs the following technical solution:

[0007] In a first aspect, the present invention provides a method for optimizing and adjusting the time-of-use steam price of industrial steam power stations, comprising the following steps:

[0008] Based on the coal-fired power output characteristic curves within the region, the power output ranges of coal-fired power units are divided;

[0009] Based on the gas supply units of coal-fired industrial plants, the first correlation characteristics between steam supply load and power generation output and the second correlation characteristics between steam supply load, power generation output and standard coal consumption are determined.

[0010] The benchmark steam price for industrial steam supply is obtained based on the first and second correlation characteristics;

[0011] Adjusting the benchmark heat price based on the power output scenario enables optimized adjustment of time-of-use steam prices for industrial steam power plants.

[0012] Secondly, the present invention provides a time-of-use steam price optimization and adjustment system for industrial steam power stations, comprising:

[0013] The power output range division module is used to divide the power output range of coal-fired power units according to the coal-fired power output characteristic curve within the region.

[0014] The first calculation module is used to determine the first correlation characteristics between steam supply load and power generation output, and the second correlation characteristics between steam supply load, power generation output and standard coal consumption, based on the coal-fired industrial gas supply unit.

[0015] The second calculation module is used to obtain the benchmark steam price for industrial steam supply based on the first correlation characteristic and the second correlation characteristic;

[0016] The optimization and adjustment module is used to adjust the benchmark heat price according to the power output scenario, so as to realize the time-of-use steam price optimization adjustment of industrial steam power plants.

[0017] Thirdly, the present invention provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0018] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described above.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] This invention establishes time-of-use (TOU) steam pricing for coal-fired industrial power plants, aiming for equal revenue sharing or cost amortization. It incentivizes industrial steam users to adjust their production by raising industrial steam prices during peak and off-peak periods of coal-fired power generation and lowering them during average periods of power generation. During peak and off-peak periods, industrial steam consumption is reduced due to higher prices, while during average periods, it is increased. On one hand, coal-fired industrial power plants weaken the coupling characteristics of steam and electricity by adjusting their industrial steam supply load, improving the profitability of their units in a new energy system dominated by wind and solar power. On the other hand, industrial steam users proactively adjust their production methods to align with the temporal distribution of coal-fired power unit output, using less high-priced steam during peak and off-peak periods and more low-priced steam during average periods, thus reducing their own steam costs. This invention reasonably balances the interests of both heat supply and demand sides and has broad application prospects. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of the method of the present invention.

[0023] Figure 2 This is a schematic diagram of the system of the present invention.

[0024] Figure 3 This is a schematic diagram of the daily average power output distribution curve of a typical coal-fired power unit.

[0025] Figure 4 This is a schematic diagram of the operating range of steam supply load and electrical output for a typical coal-fired industrial steam turbine unit. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0027] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0028] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0029] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0030] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0031] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0032] The present invention will now be described in further detail with reference to the accompanying drawings:

[0033] See Figure 1 This invention discloses a method for optimizing and adjusting the time-of-use steam price of industrial steam power stations, comprising the following steps:

[0034] S1 divides the power output range of coal-fired power units according to the power output characteristic curve of coal-fired power units in the region;

[0035] S2 determines the first correlation characteristics between steam supply load and power generation output, and the second correlation characteristics between steam supply load, power generation output and standard coal consumption, based on the coal-fired industrial gas supply units.

[0036] S3 obtains the benchmark steam price for industrial steam supply based on the first and second correlation characteristics;

[0037] S4 adjusts the benchmark heat price based on the power output scenario, thereby achieving time-of-use steam price optimization for industrial steam power plants.

[0038] In another feasible embodiment of the present invention, the step of dividing the power output range of coal-fired power units according to the regional coal-fired power output characteristic curve includes:

[0039] Step 1: Based on the influence of seasonal wind and sunlight on wind and solar power output, the time for implementing power output within a year is divided into 4 seasonal periods;

[0040] Step 2: For each seasonal period, based on the daily power output curves of all coal-fired power units in the region for the previous year, calculate the average daily power output curve of the coal-fired power units and plot it. Divide the power generation output range of coal-fired power units by time and period in the following way:

[0041] The system is divided into three time zones: valley, peak, and average. A basic time unit is 15 minutes, with any interval less than 15 minutes discarded. The electrical output must be ≤1.3N. bott The time period is the off-peak period, and the electrical output is ≥0.8N. peak The time period in question is the peak period, and the remaining time periods are the average periods; N peak and N bott These are the highest and lowest daily power outputs, respectively.

[0042] In another feasible embodiment of the present invention, the first association characteristic is determined by the following method:

[0043] The operating range of steam supply load and electrical output was obtained through on-site testing and thermal calculations.

[0044] N = f1(Q)

[0045] Where f1 is the correlation between the power generation output N and the steam supply load Q;

[0046] Boiler maximum load D B When the power generation output N is constant, the relationship between the power generation output N and the steam supply load Q is as follows:

[0047] N = f2(Q,D) B )

[0048] Where f2 is the correlation between the power generation output N and the steam supply load Q.

[0049] In another feasible embodiment of the invention, the second association characteristic is determined by the following method:

[0050] In power generation output N min To N max Within the specified range, industrial steam power plants can supply steam to external users; the minimum power generation output N allowed for heating supply is specified in the specified range. min The minimum generating output N of the unit in pure condensing mode is less than min0 Boiler maximum load D B Maximum steam supply load Q max The maximum power output of the unit N max Less than the unit's nameplate electrical output N0; generating output N cr This represents the maximum steam supply load Q of a coal-fired industrial steam turbine unit. max The minimum power output;

[0051] The standard coal consumption characteristics of B under a power generation output N and a steam supply load Q were obtained through on-site testing:

[0052] B = f3(Q, N)

[0053] Where f3 is the correlation between the consumption of standard coal B and the changes in steam supply load Q and power generation output N.

[0054] In another feasible embodiment of the present invention, the benchmark steam price for industrial steam supply is obtained by the following method:

[0055] The standard coal consumption (b) per unit steam supply load is obtained by calculating the difference in standard coal consumption (B).

[0056]

[0057] Where N is the power generation output, Q1 is the steam supply load of the first unit, Q2 is the steam supply load of the second unit, and Q2 and Q1 are different;

[0058] The benchmark heat price P0 for industrial steam supply is obtained based on the standard coal consumption b.

[0059] P0=b×cp+e+w+m+g+dc+fi (2)

[0060] Where cp is the standard coal price per ton; e is the electricity consumption per ton; w is the water consumption per ton; m is the maintenance and repair cost per ton; g is the management fee per ton; dc is the depreciation cost per ton; and fi is the financial cost per ton.

[0061] In another feasible embodiment of the present invention, the adjustment of the benchmark heat price according to the power output scenario includes:

[0062] i. Peak-hour car prices P p :

[0063]

[0064] ii. Average segment car price P a :

[0065]

[0066] iii. Peak-period car price P t :

[0067]

[0068] Among them, Pro net+ Pro is the net profitability coefficient of peak-period coal-fired industrial steam turbine units. net- The net loss reduction capacity coefficient for coal-fired industrial steam turbine units in the valley section.

[0069] In another feasible embodiment of the present invention, the net profitability coefficient Pro of the peak-section coal-fired industrial steam turbine unit net+ Net Loss Reduction Capacity Coefficient Pro for Coal-fired Industrial Steam Turbine Units in the Hegu Section net- The following calculations were performed respectively:

[0070] (1) Pro-value coefficient of peak-period coal-fired industrial steam turbine units net+ :

[0071] In the peak power output scenario, with the boiler at its maximum load D B Maximum steam supply load Q max As the boundary, the maximum generating output N of the unit at this time max The settlement on-grid electricity price E0 and the vehicle price P0 are the benchmark operating conditions for peak periods;

[0072] Boiler maximum load D B With the steam supply load Q remaining constant, the power generation output N is increased until it reaches the nameplate value, thus obtaining the critical steam supply load Q. cr ;

[0073] (Q) max -Q cr Divide the data into m equal parts to form m operating conditions:

[0074] The additional profit value of condition 1-1 compared to the peak baseline condition:

[0075] PRO+1=(N1×E1-N max ×E0)-(Q max -Q1)×P0

[0076] Where Q1 is the steam supply load for operating condition 1-1, N1 is the power output of operating condition 1-1, N1 = f2(Q1, D B E1 is the settlement on-grid electricity price for operating condition 1-1, and E1 > E0;

[0077] The additional profit value of operating condition 1-2 compared to the peak-period baseline operating condition:

[0078] PRO+2=(N2×E2-N max ×E0)-(Q max -Q2)×P0

[0079] Where Q2 is the steam supply load for operating condition 1-2, N2 is the power output N2 under operating condition 1-2, N2=f2(Q2,D B E2 is the settlement on-grid electricity price for operating condition 1-2, and E2 > E0;

[0080] The additional profit value of operating conditions 1-3 compared to the peak baseline operating condition:

[0081] PRO+3=(N3×E3-N max ×E0)-(Q max -Q3)×P0

[0082] Q3 represents the steam supply load for operating conditions 1-3. N3 is the power output N3 under operating conditions 1-3, N3=f2(Q3,D B E3 is the settlement on-grid electricity price for operating conditions 1-3, and E3 > E0;

[0083] Similarly, the profit margin of condition 1-m compared to the peak baseline condition is:

[0084] PRO+ m =(N m ×E m -N max ×E0)-(Q max -Q m )×P0

[0085] Among them, Q m For operating condition 1-m steam supply load, N m The power output N under operating condition 1-m m N m =f2(Q m ,D B ) = N0; E m The settlement grid connection price E for operating condition 1-m m And E m >E0;

[0086] Calculate the net profitability coefficient Pro of peak-hour coal-fired industrial steam turbine units after reducing steam supply load. net+ The unit profitability is represented by the unit's profit per unit of industrial steam supply, and the calculation is shown in the following formula;

[0087]

[0088] Where i represents the number of operating conditions;

[0089] (2) Pro coefficient of net loss reduction capacity of coal-fired industrial steam turbine units in valley section net- :

[0090] In scenarios where the generator output is reduced during off-peak periods, the maximum steam supply load Q is used. max Critical power output N cr This is the baseline operating condition; under the baseline operating condition, the unit's standard coal consumption is the baseline standard coal consumption B. cr B cr =f3(Q max N cr );

[0091] (Q) max -Q min Divide the unit into n equal parts, and add the minimum electrical output condition for pure condensing, forming n+1 operating conditions. The minimum electrical output condition for pure condensing is described as follows: the unit operates in pure condensing mode, the steam load is reduced to 0, and the boiler maintains its minimum output D. B-min During operation, the generator's output is at its minimum output N. 0min N 0min =f1(0), the standard coal consumption is the pure condensing standard coal consumption B 0min B 0min =f3(0,N 0min );

[0092] Loss reduction value of operating condition 2-1 compared with the valley section baseline operating condition:

[0093] PRO-1 = (B cr -B 2-1 )×cp-(N cr -N 2-1 )×E low -(Q max -Q 2-1 )×P0

[0094] Among them, Q 2-1 For the steam supply load of operating condition 2-1, N 2-1 For the power generation output of operating condition 2-1, N 2-1 =f1(Q 2-1 ); B 2-1 For standard coal consumption under operating condition 2-1, B 2-1=f3(Q 2-1 N 2-1 ); E low Settlement price for off-peak electricity;

[0095] Loss reduction value of condition 2-2 compared with the valley section baseline condition:

[0096] PRO-2=(B cr -B 2-2 )×cp-(N cr -N 2-2 )×E low -(Q max -Q 2-2 )×P0

[0097] Among them, Q 2-2 For the steam supply load of operating condition 2-2, N 2-2 For the power generation output of operating condition 2-2, N 2-2 =f1(q 2-2 ); B 2-2 For standard coal consumption under operating condition 2-2, B 2-2 =f3(Q 2-2 N 2-2 );

[0098] Similarly, the loss reduction value of working condition 2-n compared to the valley baseline working condition is:

[0099] PRO- n = (B cr -B 2-n )×cp-(N cr -N 2-n )×E low -(Q max -Q 2-n )×P0

[0100] Among them, Q 2-n For the steam supply load of operating condition 2-n, N 2-n For the power generation output under operating condition 2-n, N 2-n =f1(Q 2-n ) = N min B 2-n B represents the standard coal consumption under operating condition 2-n. 2-n =f3(Q 2-n N 2-n )=f3(Q min N min );

[0101] Loss reduction value of condition 2-(1+n) compared with the valley section baseline condition:

[0102] PRO-1+n = (B cr -B 0min )×cp-(N cr -N 0min )×E low -Q max ×P0

[0103] Where, N 0min For the power generation output of operating condition 2-(1+n); B 0min Let B be the standard coal consumption under operating condition 2-(1+n). 0min =f3(0,N 0min );

[0104] Calculate the net loss reduction coefficient Pro for coal-fired industrial steam turbine units in the off-peak period after reducing steam supply load. net- The unit loss reduction value is characterized by the unit industrial steam supply, and the calculation is shown in the following formula:

[0105]

[0106] like Figure 2 As shown in the figure, an embodiment of the present invention discloses a time-of-use steam price optimization and adjustment system for industrial steam power stations, comprising:

[0107] The power output range division module is used to divide the power output range of coal-fired power units according to the coal-fired power output characteristic curve within the region.

[0108] The first calculation module is used to determine the first correlation characteristics between steam supply load and power generation output, and the second correlation characteristics between steam supply load, power generation output and standard coal consumption, based on the coal-fired industrial gas supply unit.

[0109] The second calculation module is used to obtain the benchmark steam price for industrial steam supply based on the first correlation characteristic and the second correlation characteristic;

[0110] The optimization and adjustment module is used to adjust the benchmark heat price according to the power output scenario, so as to realize the time-of-use steam price optimization adjustment of industrial steam power plants.

[0111] Example

[0112] This embodiment provides a method for determining the time-of-use steam price of industrial steam power stations adapted to the new energy system, specifically including the following steps:

[0113] Step 1: Based on the coal-fired power output characteristic curves within the region, divide the power output ranges of coal-fired power units into time-based and time-based ranges.

[0114] Implementation time: Mid-January each year.

[0115] Step 1: Because wind and solar power output is greatly affected by seasonal winds and sunlight, the whole year is divided into four periods: spring, summer, autumn, and winter. Winter: December and January; Spring: February to May; Summer: June to August; Autumn: September to November.

[0116] Step 2: In each season, based on the daily power output curves of all coal-fired power units in the region released by the regional power grid for the previous year, statistical averages are plotted to create a daily average power output curve. The power output ranges of coal-fired power units are then divided by time and season in the following manner.

[0117] Define N peak and N bott These are the daily maximum and minimum power outputs, respectively. A 15-minute time unit is used as the basic unit, with any period less than 15 minutes discarded. The system is divided into three levels: valley, peak, and average. Specifically, power output ≤ 1.3N is considered. bott The time period is defined as the valley period, with an electrical output ≥ 0.8N. peak The time period is defined as the peak period, and the remaining time periods are defined as the average period.

[0118] For example, see attached Figure 3 It is a typical daily average power output distribution curve of a coal-fired power unit.

[0119] Step 2: For specific coal-fired industrial steam supply units, determine the correlation characteristics between steam supply load Q and power generation output N, and the correlation characteristics between steam supply load Q, power generation output N, and standard coal consumption B, and formulate the benchmark heat price P0 for industrial steam supply.

[0120] For specific coal-fired industrial steam turbine units, the industrial steam supply method is determined, and the operating range of steam load-electric output is obtained through on-site testing and thermodynamic calculations.

[0121] N = f1(Q)

[0122] Where f1 is the correlation between power generation output N and steam supply load Q. Boiler maximum load D B When the power generation output N is constant, the relationship between the power generation output N and the steam supply load Q is as follows:

[0123] N = f2(Q,D) B )

[0124] Where f2 is the correlation between the power generation output N and the steam supply load Q.

[0125] like Figure 4 As shown, in the power generation output N min To N max Within the specified range, industrial steam power plants can supply steam to external users; the minimum power generation output N allowed for heating supply is specified in the specified range. min The minimum generating output N of the unit in pure condensing mode is less than min0Boiler maximum load D B Maximum steam supply load Q max The maximum power output of the unit N max Less than the unit's nameplate electrical output N0; generating output N cr This represents the maximum steam supply load Q of a coal-fired industrial steam turbine unit. max The minimum power output.

[0126] Based on this, the standard coal consumption characteristics of B under the steam supply load Q at the power generation output N were obtained through on-site testing:

[0127] B = f3(Q, N)

[0128] Where f3 is the correlation between standard coal consumption (B) and steam supply load (Q) and power generation output (N). Given power generation output (N), by changing the steam supply load, the standard coal consumption (b) per unit steam supply load is obtained through the difference in standard coal consumption (B), as shown in the following formula:

[0129]

[0130] Based on the cost of steam supply fuel, and by adding electricity consumption e (yuan / ton), water consumption w (yuan / ton), maintenance and repair costs m (yuan / ton), management fees g (yuan / ton), depreciation dc (yuan / ton), and financial costs fi (yuan / ton), the benchmark heat price P0 for industrial steam supply can be obtained. See the formula below.

[0131] P0=b×cp+e+w+m+g+dc+fi (2)

[0132] In the formula, cp represents the standard coal price per ton.

[0133] Step 3: During peak and off-peak periods, add an additional surcharge ΔP to the base gasoline price. +p and ΔP +v This aims to reduce steam supply load, broaden the operating range of power output, and improve the profitability of coal-fired industrial steam power plants in the electricity market. On average, based on the benchmark steam price, the additional steam price ΔP is reduced. - This is to increase the steam supply load and pass on the savings to heat users. ΔP + and ΔP - The method for formulating this is as follows.

[0134] 1) Peak power output scenario.

[0135] Based on the boiler's maximum load D B Maximum steam supply load Q max As the boundary, the generator output at this point is N. max Settlement of on-grid electricity price E0 and vehicle price P0. This is the benchmark operating condition during peak hours.

[0136] During peak periods, the higher the power output N of coal-fired industrial steam power plants, the higher the on-grid electricity price E. The boiler load remains constant at D. B As the steam supply load Q decreases, the power generation output N increases. During this process, there exists a critical steam supply load Q. cr This allows the power output to reach the nameplate value.

[0137] (Q) max -Q cr Divide the data into m equal parts to form m operating conditions.

[0138] Operating Condition 1-1: Boiler Load D B Steam supply load According to N = f2(Q,D) B From this, we can derive the power output N1 = f2(Q1, D). B At this point, the on-grid electricity price is E1, and E1 > E0. Calculate the profit margin of operating condition 1-1 compared to the peak-period baseline operating condition: PRO+1 = (N1 × E1 - N) max ×E00-(Q max -Q1)×P0.

[0139] Operating Condition 1-2: Boiler Load D B Steam supply load According to =f2(Q,D) B From this, we can derive the power output N2 = f2(Q2,D). B At this point, the on-grid electricity price is E2, and E2 > E0. Calculate the profit margin of operating condition 1-2 compared to the peak-period baseline operating condition: PRO+2 = (N2 × E2 - N) max ×E0)-(Q max -Q2)×P0.

[0140] Operating Condition 1-3: Boiler Load D B Steam supply load According to =f2(Q,D) B 0, therefore the power output N3 = f2(Q3,D) B At this point, the on-grid electricity price is E3, and E3 > E0. Calculate the profit margin of operating condition 1-3 compared to the peak-period baseline operating condition: PRO+3 = (N3 × E3 - N) max ×E0)-(Q max -Q3)×P0.

[0141] ...

[0142] Operating condition 1-m: Boiler load D B Steam supply load According to N = f2(Q,D) B ), thus obtaining the power output N. m =f2(Qm ,D B ) = N0. At this time, the grid connection settlement price E m And E m >E0. Calculate the profit margin of condition 1-m compared to the peak baseline condition: PRO+ m =(N m ×E m -N max ×E0)-(Q max -Q m )×P0.

[0143] In summary, the net profitability coefficient Pro of coal-fired industrial steam turbine units after reducing steam supply load is calculated. net+ The profitability of the unit is represented by the unit's profit per unit of industrial steam supply, and the calculation is shown in the following formula.

[0144]

[0145] 2) Scenario of reducing generator output during off-peak hours.

[0146] During the off-peak hours of coal-fired power generation, wind and solar power output are at their highest levels, and their on-grid electricity prices are typically at their lowest and remain largely unchanged (see Appendix). Figure 3 Furthermore, the output of coal-fired power units is lower than the power generation cost of coal-fired power units. In this case, the lower the output of coal-fired power units, the less the loss.

[0147] Steam supply load Q max Power output N cr Under the baseline operating condition, the unit's standard coal consumption is B. cr =f3(Q max N cr ).

[0148] (Q) max -Q min Divide the unit into n equal parts, and add the minimum electrical output condition for pure condensing, forming n+1 operating conditions. The minimum electrical output condition for pure condensing is described as follows: In pure condensing mode, the steam load drops to 0, and the boiler maintains its minimum output D. B-min During operation, the unit's power output is at its lowest, which is N. 0min =f1(0); Standard coal consumption B 0nin =f3(0,N 0nin ).

[0149] During off-peak hours, compared to the baseline operating condition, the reduction in steam supply load Q leads to a decrease in power generation output. The resulting loss reduction benefits primarily consist of two parts: generating less low-priced electricity and reducing standard coal consumption. The off-peak settlement price is defined as E. low .

[0150] Operating Condition 2-1: Steam Supply Load At this time, the power output N2-1 =f1(Q 2-1 Standard coal consumption B 2-1 =f3(Q 2-1 N 2-1 ). Calculate the loss reduction value of working condition 2-1 compared with the valley section baseline working condition, PRO-1 = (B cr -B 2-1 )×cp-(N cr -N 2-1 )×E low -(Q max -Q 2-1 )×P0.

[0151] Operating Condition 2-2: Steam Supply Load At this time, the power output N 2-2 =f1(Q 2-2 Standard coal consumption B 2-2 =f3(Q 2-2 N 2-2 ). Calculate the loss reduction value of working condition 2-2 compared with the valley section baseline working condition, PRO-2 = (B cr -B 2-2 )×cp-(N cr -N 2-2 )×E low -(Q max -Q 2-2 )×P0.

[0152] ...

[0153] Operating condition 2-n: Steam supply load At this time, the power output N 2-n =f1(Q 2-n ) = N min Standard coal consumption B 2-n =f3(Q 2-n N 2-n )=f3(Q min N min ). Calculate the loss reduction value of working condition 2-n compared with the valley section baseline working condition, PRO- n = (B cr -B 2-n )×cp-(N cr -N 2-n )×E low -(Q max -Q 2-n )×P0.

[0154] Operating condition 2-(1+n): Steam supply load is 0, and the power generation output is N. 0min Standard coal consumption B 0min =f3(0,N 0min). Calculate the loss reduction value of working condition 2-(1+n) compared with the valley section baseline working condition, PRO- 1+n = (B cr -B 0min )×cp-(N cr -N 0min )×E low -Q max ×P0.

[0155] In summary, the net loss reduction coefficient Pro of coal-fired industrial steam turbine units after reducing steam supply load is calculated. net- The unit loss reduction value is characterized by the unit industrial steam supply, and the calculation is shown in the following formula.

[0156]

[0157] 3) Determine ΔP + ΔP +v and ΔP - .

[0158] The time-of-use steam pricing for coal-fired industrial power plants is set as follows:

[0159] Peak hour price of gasoline = P0 + ΔP + =P0+Pro net+ / 2.

[0160] Average segment, car price = P0 - ΔP _ =P0-Pro net+ / 2-Pro net- / 2.

[0161] In the valley segment, the car price = P0 + ΔP + =P0+Pro net- / 2.

[0162] Step 4: Update regularly.

[0163] In mid-January each year, steps 1, 2, and 3 are executed to formulate time-of-use steam prices for coal-fired industrial power plants and publish them to heat users.

[0164] A computer device is provided according to an embodiment of the present invention. This computer device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the various method embodiments described above. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the various device embodiments described above.

[0165] The computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention.

[0166] The computer device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device may include, but is not limited to, a processor and memory.

[0167] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0168] The memory can be used to store the computer program and / or module, and the processor implements various functions of the computer device by running or executing the computer program and / or module stored in the memory, and by calling the data stored in the memory.

[0169] If the modules / units integrated into the computer device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0170] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for optimizing and adjusting the time-of-use steam price of industrial steam power stations, characterized in that, Includes the following steps: Based on the regional coal-fired power output characteristic curves, the power output ranges of coal-fired power units are divided; specifically including: Step 1: Based on the influence of seasonal wind and sunlight on wind and solar power output, the time for implementing power output within a year is divided into 4 seasonal periods; Step 2: For each seasonal period, based on the daily power output curves of all coal-fired power units in the region for the previous year, calculate the average daily power output curve of the coal-fired power units and plot it. Divide the power generation output range of coal-fired power units by time and period in the following way: The system is divided into three segments: valley, peak, and average. A basic time unit is 15 minutes, with any period less than 15 minutes discarded. The electrical output must be ≤1.

3. The time period is the off-peak period, and the power output is ≥0.

8. The time period is the peak period, and the other time periods are the average period; and These are the highest and lowest daily power outputs, respectively. Based on the gas supply units of coal-fired industrial plants, the first correlation characteristics between steam supply load and power generation output and the second correlation characteristics between steam supply load, power generation output and standard coal consumption are determined. The first association characteristic is determined according to the following method: The operating range of steam supply load and electrical output was obtained through on-site testing and thermal calculations. in, For power generation With steam supply load The relationship between changes; Boiler maximum load When stationary, power generation output With steam supply load Change correlation: in, For power generation With steam supply load The relationship between changes; The second association characteristic is determined according to the following method: Power generation output arrive Within the specified range, industrial steam power plants can supply steam to external users; the minimum power generation capacity allowed for heating supply is specified in the figure. Less than the minimum generating capacity of the unit in pure condensing mode Boiler maximum load Maximum steam supply load Maximum generating capacity of the unit Less than the nameplate electrical output of the unit Power generation output This indicates the maximum steam supply load of a coal-fired industrial steam turbine unit. The minimum power generation output; Power generation output was obtained through on-site testing. Lower steam supply load standard coal Consumption characteristics: in, Standard coal Consumption varies with steam supply load and power generation output The relationship between changes; The benchmark price for industrial steam supply is obtained based on the first and second correlation characteristics; the benchmark price for industrial steam supply is obtained according to the following method: Through standard coal The difference in consumption yields the standard coal consumption per unit steam supply load. : in, To generate electricity, To supply steam load for the first unit, To supply steam load for the second unit; Based on standard coal consumption The benchmark heat price for industrial steam supply : in, The price is the standard coal unit price, in yuan / ton; Electricity consumption, yuan / ton; Water consumption, yuan / ton; Maintenance and repair costs are calculated at yuan per ton. Management fee, yuan / ton; For depreciation, yuan / ton; For financial purposes, the price is [amount] yuan per ton. Adjusting the benchmark heat price based on the power output scenario enables optimized adjustment of time-of-use steam prices for industrial steam power plants; the adjustment of the benchmark heat price based on the power output scenario includes: i. Peak-hour car prices : ii. Average segment car price : iii. Off-peak car prices : in, The net profitability coefficient of peak-period coal-fired industrial steam turbine units. The net loss reduction capacity coefficient of the coal-fired industrial steam turbine units in the valley section; the net profitability coefficient of the coal-fired industrial steam turbine units in the peak section. Net loss reduction capacity coefficient of coal-fired industrial steam turbine units in the Hegu section The following calculations were performed respectively: (1) Net Profitability Coefficient of Peak-Side Coal-Fired Industrial Steam Turbine Units : In peak power output scenarios, with the boiler at its maximum load Maximum steam supply load This is the boundary, where the unit's maximum generating output is... Settlement of on-grid electricity price And car prices This is the benchmark operating condition for the peak period; Boiler maximum load Unchanged, steam supply load Reduce, increase power generation output This allows the power generation output to reach the nameplate value, thus achieving the critical steam supply load. ; Will Equal Divide into equal parts, forming Operating conditions: The additional profit value of condition 1-1 compared to the peak baseline condition: in, For the steam supply load of operating condition 1-1, ; Power generation output for operating condition 1-1 , ; Settlement grid connection price for operating condition 1-1 ,and ; The additional profit value of operating condition 1-2 compared to the peak baseline operating condition: in, For steam supply load under operating conditions 1-2, ; Power generation for operating conditions 1-2 , ; Settlement grid connection price for operating conditions 1-2 ,and ; The additional profit value of operating conditions 1-3 compared to the peak baseline operating condition: in, For steam supply loads under operating conditions 1-3, ; Power generation output for operating conditions 1-3 , ; E 3 represents the settlement on-grid electricity price for operating conditions 1-3. ,and ; And so on, working condition 1- m Additional profit compared to peak baseline conditions: in, For working condition 1- m Steam supply load, ; For working condition 1- m Power generation , ; For working condition 1- m Settlement on-grid electricity price ,and ; Calculate the net profitability coefficient of peak-hour coal-fired industrial steam turbine units after reducing steam supply load. The unit profitability is represented by the unit's profit per unit of industrial steam supply, and the calculation is shown in the following formula; in, The number of times the operating condition is used; (2) Net loss reduction capacity coefficient of coal-fired industrial steam turbine units in valley section : In scenarios where generator output is reduced during off-peak periods, the maximum steam supply load is maintained. Critical power generation output This is the baseline operating condition; under the baseline operating condition, the unit's standard coal consumption is the baseline standard coal consumption. , ; Will Equal Equal parts, plus the minimum electrical output condition of pure condensation, form n+ One operating condition; among which, the minimum power output condition for pure condensing is described as follows: the unit operates in pure condensing mode, the steam supply load is reduced to 0, and the boiler maintains minimum output. During operation, the unit's power output is at its minimum power output. , Standard coal consumption is the consumption of pure condensing standard coal. , ; Loss reduction value of condition 2-1 compared with the valley section baseline condition: in, For the steam supply load of operating condition 2-1, ; For the power generation output of operating condition 2-1, ; This represents the standard coal consumption under operating condition 2-1. ; Settle electricity prices for off-peak periods; Loss reduction value of condition 2-2 compared with the valley section baseline condition: in, For the steam supply load of operating condition 2-2, ; For the power generation output of operating condition 2-2, ; This represents the standard coal consumption under operating condition 2-2. ; And so on, working condition 2- n Loss reduction compared to the baseline working condition in the valley section: in, For working condition 2- n Steam supply load, ; For working condition 2- n Power generation output, ; For working condition 2- n The amount of standard coal consumed. ; Operating condition 2-(1+ n Loss reduction compared to the baseline operating condition in the valley section: in, For working condition 2-(1+ n The power output of ) For working condition 2-(1+ n Standard coal consumption, ; Calculate the net loss reduction capacity coefficient of coal-fired industrial steam turbine units in the off-peak period after reducing steam supply load. The unit loss reduction value is characterized by the unit industrial steam supply, and the calculation is shown in the following formula: 。 2. A time-of-use steam price optimization and adjustment system for industrial steam power stations to implement the method of claim 1, characterized in that, include: The power output range division module is used to divide the power output range of coal-fired power units according to the coal-fired power output characteristic curve within the region. The first calculation module is used to determine the first correlation characteristics between steam supply load and power generation output, and the second correlation characteristics between steam supply load, power generation output and standard coal consumption, based on the coal-fired industrial gas supply unit. The second calculation module is used to obtain the benchmark steam price for industrial steam supply based on the first correlation characteristic and the second correlation characteristic; The optimization and adjustment module is used to adjust the benchmark heat price according to the power output scenario, so as to realize the time-of-use steam price optimization and adjustment of industrial steam power plants.

3. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in claim 1.

4. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in claim 1.

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