A peak-shifting heat supply method based on a power spot market operation

Abstract

The present application relates to the technical field of power market, especially to a peak-shaving heat supply method based on power spot market operation, comprising a heat supply device; an intelligent control system that monitors power prices in real time through an interface with the power spot market and adjusts the operation strategy of the heat supply device according to changes in the power prices; a data analysis algorithm; and an energy storage device that stores excess heat energy when power prices are low and releases it for use by the heat supply device when prices rise, thus making full use of cheap energy during periods of low power prices, improving energy utilization efficiency, and reducing heat supply costs while the intelligent control system flexibly adjusts the power and operation time parameters of the heat supply device based on predicted power prices and heat supply device state assessments.

Description

Technical Field

[0001] This invention relates to the field of electricity market technology, and in particular to a method for staggered heating based on the operation of the electricity spot market. Background Technology

[0002] With the implementation of the national dual-carbon policy, the proportion of renewable energy power generation capacity has shown a rapid growth trend. Due to the significant intermittent, random, and volatile characteristics of renewable energy power generation, the demand for renewable energy absorption has placed higher requirements on the peak-shaving capacity of thermal power units in the power grid. To fully leverage the role of the market in the optimal allocation of power resources, promote the absorption of renewable energy by the power grid, incentivize thermal power plants to participate in peak and frequency regulation, and ensure grid security, Shandong Province has implemented continuous operation of the electricity spot market since December 2021.

[0003] During the heating season, thermal power units responsible for residential heating must extract some steam to heat the high-temperature water used for heating. During periods of high grid demand, the reduced steam intake of the turbines prevents the units from reaching their rated output, forcing them to request a reduction in output from the grid. This results in the loss of revenue from higher-priced electricity and also incurs performance targets due to the reduced output. During periods of deep peak shaving, the reduced steam extraction capacity of the turbines at low loads prevents further reduction in unit load to ensure heating demand, leading to increased losses from lower-priced electricity for thermal power units. Summary of the Invention

[0004] Given that during periods of high grid demand, as described above or in existing technologies, the reduced steam intake to the turbine prevents the unit from reaching its rated output, forcing it to request a reduction in output from the grid. This results in the loss of revenue from high-priced electricity and incurred performance targets due to the reduced output. Furthermore, during periods of deep peak shaving, the turbine's steam extraction capacity decreases at low loads, preventing further reduction in unit load to ensure heating demand and leading to increased losses of low-priced electricity for thermal power units, this invention addresses this problem.

[0005] Therefore, the purpose of this invention is to provide a method for staggered heating based on the operation of the electricity spot market.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: including,

[0007] Heating equipment is used to provide heating capacity;

[0008] The intelligent control system monitors electricity prices in real time through an interface with the electricity spot market and adjusts the operating strategy of the heating equipment according to changes in electricity prices.

[0009] Data analysis algorithms, combining historical data and weather forecast information, predict trends and fluctuations in electricity prices;

[0010] Energy storage devices are used to store excess heat energy when electricity prices are low and release it to supply heating equipment when electricity prices rise.

[0011] As a preferred embodiment of the peak-shaving heating method based on the operation of the electricity spot market in this invention, the intelligent control system adjusts the operation strategy of the heating equipment according to the predicted electricity price, and the operation strategy includes changing the power and operating time parameters of the heating equipment.

[0012] Data analysis algorithms, based on historical data and weather forecasts, predict electricity prices and adjust the operating strategies of heating equipment according to the prediction results.

[0013] The intelligent control system has remote monitoring and control functions, and can remotely control and adjust heating equipment and energy storage equipment through communication methods such as the Internet;

[0014] Energy storage devices, including thermal storage tanks and heat pumps, are used to store excess heat energy when electricity prices are low and release it to supply heating equipment when electricity prices rise.

[0015] Among them, the intelligent control system takes into account the supply and demand relationship in the electricity spot market when adjusting the operation strategy of heating equipment, and realizes flexible scheduling of heating equipment according to changes in electricity prices.

[0016] As a preferred embodiment of the staggered heating method based on the operation of the electricity spot market in this invention, the following steps are taken: the rate of change of the steam extraction volume of the heating equipment is strictly controlled to ensure that the rate does not exceed 5 tons / hour, and the change of the axial thrust of the steam turbine is closely monitored.

[0017] As a preferred embodiment of the staggered heating method based on the operation of the electricity spot market in this invention, by strictly controlling the temperature change rate of each heating network heater to no more than 2.5 degrees Celsius / minute, excessive thermal stress in thick-walled components can be prevented.

[0018] As a preferred embodiment of the staggered heating method based on the operation of the electricity spot market in this invention, it includes: during the rise and fall of the temperature of the heating high-temperature water, controlling the change of valve opening at each heat exchange station according to the "thermal expansion and contraction" characteristics of the high-temperature water, and strictly controlling the high-temperature water return pressure within the range of 0.4-0.45 MPa, so as to avoid excessive pressure after the temperature rises.

[0019] After the pipeline temperature increases, the primary heating station strictly controls the high-temperature water return pressure to not exceed 0.6 MPa, and promptly opens the return water filter drain valve to release pressure when the pressure exceeds 0.55 MPa, which can prevent leakage from pipeline valves, flanges and other components.

[0020] As a preferred embodiment of the staggered heating method based on the operation of the electricity spot market in this invention, the heating company strengthens the inspection of the heating pipeline network to promptly detect the impact of temperature changes in the heating pipeline network on the expansion of the expansion joint, so as to deal with abnormal situations in a timely manner.

[0021] As a preferred embodiment of the peak-shaving heating method based on the operation of the electricity spot market in this invention, the intelligent control system determines whether to operate by comprehensively judging rules and considers the weight of different factors, and sets the system state threshold through the intelligent control system.

[0022] The judgment rule includes not starting the heating system when the system state value is less than the system state threshold;

[0023] The heating system is activated when the system status value is greater than the system status threshold.

[0024] That is, according to the formula

[0025] S_real-time = α1P + α2H + α3D;

[0026] Determine whether S in real time is greater than the S threshold;

[0027] Where S represents the real-time status of the system, α1, α2, and α3 represent different weighting coefficients with different values ​​in different regions, P represents the electricity price, H represents the status assessment of the heating equipment, and D represents the user demand. P, H, and D are all obtained through calculation.

[0028] As a preferred embodiment of the staggered heating method based on the operation of the electricity spot market in this invention, wherein: the electricity price P is calculated using the following formula:

[0029] P = A*X + B*Y + C*Z;

[0030] Among them, A, B, and C are the weighting coefficients of electricity prices, and X, Y, and Z are the factors that affect electricity prices, namely market demand, supply and demand, and policy regulation.

[0031] As a preferred embodiment of the peak-shaving heating method based on the operation of the electricity spot market in this invention, wherein: the formula for calculating the state assessment H of the heating equipment is:

[0032] H = p*m + q*n;

[0033] Where p and q are the weighting coefficients of the heating equipment status, and m and n are the factors affecting the heating equipment status, namely the equipment operating status and fault conditions.

[0034] As a preferred embodiment of the peak-shaving heating method based on the operation of the electricity spot market in this invention, wherein: the formula for calculating the user demand H is,

[0035] H = α*E + β*F + γ*G;

[0036] Among them, α, β, and γ are the weighting coefficients of user demand priority, and E, F, and G are the factors that affect user demand priority, namely user type, temperature requirements, and time urgency.

[0037] The beneficial effects of the off-peak heating method based on the electricity spot market operation of this invention are as follows: By monitoring electricity prices in real time and adjusting the operating strategy of heating equipment, this method can store excess heat energy when electricity prices are low and release it to supply heating equipment when prices rise. This fully utilizes cheap energy during periods of low electricity prices, improving energy efficiency. Off-peak heating can take advantage of price differences in the electricity spot market to adjust the operating strategy of heating equipment to periods of lower electricity prices, thereby reducing heating costs. Simultaneously, the intelligent control system can flexibly adjust the power and operating time parameters of the heating equipment based on predicted electricity prices and the status assessment of the heating equipment. This allows for adjustments to the operating strategy of the heating equipment according to actual conditions, improving heating efficiency. Attached Figure Description

[0038] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a distribution map of the number of days with deep peak shaving (load below 50%) and peak output days (load above 95%) throughout 2022, for each time period within a 24-hour period. Detailed Implementation

[0040] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0041] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0042] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0043] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a peak-shaving heating method based on the operation of the electricity spot market. The method includes heating equipment for providing heating capacity; an intelligent control system that monitors electricity prices in real time through an interface with the electricity spot market and adjusts the operating strategy of the heating equipment according to changes in electricity prices; a data analysis algorithm that combines historical data and weather forecast information to predict the trend and fluctuations of electricity prices; and an energy storage device for storing excess heat energy when electricity prices are low and releasing it to supply the heating equipment when electricity prices rise.

[0044] Specifically, the intelligent control system adjusts the operating strategy of the heating equipment based on the predicted electricity price. This operating strategy includes changing the power and operating time parameters of the heating equipment. Data analysis algorithms, based on historical data and weather forecasts, predict electricity prices and adjust the operating strategy of the heating equipment accordingly. The intelligent control system has remote monitoring and control functions, enabling remote control and adjustment of the heating equipment and energy storage equipment via communication methods such as the internet. The energy storage equipment includes thermal storage tanks and heat pumps, used to store excess heat energy when electricity prices are low and release it to supply the heating equipment when electricity prices rise. Furthermore, when adjusting the operating strategy of the heating equipment, the intelligent control system considers the supply and demand relationship in the electricity spot market and achieves flexible scheduling of the heating equipment based on changes in electricity prices.

[0045] Furthermore, by strictly controlling the rate of change of the steam extraction volume of the heating equipment to ensure that the rate does not exceed 5 tons / hour, and by closely monitoring the changes in the axial thrust of the steam turbine. 4. The peak-shaving heating method based on the operation of the electricity spot market as described in claim 3, characterized in that: by strictly controlling the temperature change rate of each heating network heater to no more than 2.5 degrees Celsius / minute, excessive thermal stress in thick-walled components can be prevented.

[0046] During the rise and fall of the high-temperature water temperature, the opening of valves at each heat exchange station is controlled according to the thermal expansion and contraction characteristics of the high-temperature water. The return water pressure of the high-temperature water is also strictly controlled within the range of 0.4-0.45 MPa to avoid excessive pressure after the temperature rises. After the network temperature increases, the first heating station strictly controls the return water pressure of the high-temperature water to not exceed 0.6 MPa, and opens the drain valve of the return water filter in time to release pressure when the pressure exceeds 0.55 MPa, which can prevent leakage of pipeline valves, flanges and other components.

[0047] Ideally, the heating company should strengthen the inspection of the heating network to promptly detect the impact of temperature changes on the expansion joints, so as to deal with abnormal situations in a timely manner.

[0048] By statistically analyzing the time it takes for the temperature change to be reflected in the heat exchange stations of each user after the temperature of the high-temperature water supply is adjusted, it can be found that the temperature change of the heating network has a large lag, as shown in the table below.

[0049]

[0050] Meanwhile, three representative residential areas at the far, middle, and near ends of the heating network were selected. With an ambient temperature of -8℃, the temperature at the heat exchange station decreased for 2 hours. The changes in indoor temperatures were then observed to clarify the impact of short-term reductions in high-temperature water temperature on indoor temperatures, as shown in the table below:

[0051]

[0052]

[0053] Through practice, after implementing staggered heating, the peak shaving depth of the 1,000 MW generating units can be reduced from 450MW to 370MW. Based on a 100-day deep peak shaving period during the heating season, an average daily duration of 3 hours, and an electricity price of -0.08 yuan / kWh during the deep peak shaving period, the reduction in low-price electricity losses per kWh is calculated as 0.528 yuan / kWh (2022 comprehensive electricity price) + 0.08 yuan / kWh. The two 1,000 MW generating units can generate approximately 29 million yuan more revenue during the heating season, reducing electricity losses. Simultaneously, after implementing staggered heating, the peak capacity of the 1,000 MW generating units can be increased from 1000MW. With a capacity of 1030MW, based on a peak output of 60 days during the heating season, an average peak output of 2 hours per day, and an average peak electricity price of 1 yuan / kWh, the revenue increase per kWh of peak electricity price is 1 yuan / kWh - 0.528 yuan / kWh (comprehensive electricity price in 2022). The two 1MW units can increase revenue from high-priced electricity by 3.4 million yuan during the heating season. Based on the reduced output assessment of 0.39 yuan / kWh, if each unit generates 30MW of reduced output, it will generate approximately 30,000 yuan of capacity assessment per day, resulting in a reduction of approximately 6 million yuan in capacity electricity assessment throughout the heating season.

[0054] In summary, under the electricity spot market model, the implementation of staggered heating can increase the profits of the two 1,000 MW units by approximately 38 million yuan during the entire heating season, while ensuring heating demand. This innovative operation utilizes the existing unit configuration and optimizes the operation mode. Through experimental analysis of the unit's peak-shaving patterns and heating characteristics, and by leveraging the heat storage capacity and temperature change lag characteristics of the heating network, it achieves an increase in electricity prices while ensuring heating supply, thereby improving the company's economic benefits.

[0055] It should be noted that the intelligent control system determines whether to operate by comprehensively judging rules and considers the weight of different factors. The intelligent control system sets the system state threshold.

[0056] The judgment rule includes not starting the heating system when the system state value is less than the system state threshold;

[0057] The heating system is activated when the system status value is greater than the system status threshold.

[0058] That is, according to the formula

[0059] S_real-time = α1P + α2H + α3D;

[0060] Determine whether S in real time is greater than the S threshold;

[0061] Where S represents the real-time status of the system, α1, α2, and α3 represent different weighting coefficients with different values ​​in different regions, P represents the electricity price, H represents the status assessment of the heating equipment, and D represents the user demand. P, H, and D are all obtained through calculation.

[0062] When in use, the formula for calculating the electricity price P is as follows:

[0063] P = A*X + B*Y + C*Z;

[0064] Among them, A, B, and C are the weighting coefficients of electricity prices, and X, Y, and Z are the factors that affect electricity prices, namely market demand, supply and demand, and policy regulation.

[0065] The formula for calculating the condition assessment H of the heating equipment is as follows:

[0066] H = p*m + q*n;

[0067] Where p and q are the weighting coefficients of the heating equipment status, and m and n are the factors affecting the heating equipment status, namely the equipment operating status and fault conditions.

[0068] The formula for calculating the user demand H is as follows:

[0069] H = α*E + β*F + γ*G;

[0070] Among them, α, β, and γ are the weighting coefficients of user demand priority, and E, F, and G are the factors that affect user demand priority, namely user type, temperature requirements, and time urgency. Through a series of data transformations, the timing of whether or not to operate the staggered heating system becomes more intuitive, rather than relying solely on work experience for judgment.

[0071] In summary, the intelligent control system monitors electricity prices in real time through an interface with the electricity spot market. Simultaneously, it combines historical data and weather forecasts, utilizing data analysis algorithms to predict electricity price trends and fluctuations. This understanding of electricity price trends provides a basis for adjusting subsequent heating equipment operation strategies. Based on predicted electricity prices and the supply and demand relationship in the electricity spot market, the intelligent control system adjusts the operating strategies of heating equipment to achieve peak-shaving heating. Specific operations include changing the power and operating time parameters of the heating equipment to store excess heat energy when electricity prices are low and release it to the heating equipment when prices rise. Simultaneously, considering the condition assessment of the heating equipment and user demand, a system state threshold is set according to comprehensive judgment rules to determine whether to start the heating system. The intelligent control system has remote monitoring and control functions, enabling remote control and adjustment of heating equipment and energy storage equipment via communication methods such as the internet. The system closely monitors the rate of change of the steam extraction volume of the heating equipment, ensuring that the rate does not exceed the preset threshold, and also monitors changes in the axial thrust of the steam turbine. Furthermore, it strictly controls the temperature change rate of each heating network heater to prevent excessive thermal stress on thick-walled components. Based on the thermal expansion and contraction characteristics of high-temperature water, the valve openings at each heat exchange station are controlled, and the high-temperature water return pressure is strictly controlled to prevent excessive pressure after temperature rise. Regular inspection of the heating network is also crucial to promptly detect the impact of temperature changes on the expansion joints and prevent abnormal situations from occurring.

[0072] It is important to note that the constructions and arrangements of this application shown in several different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, those who consult this disclosure will readily understand that many modifications are possible (e.g., changes in the size, dimensions, structure, shape, and proportions of various elements, as well as parameter values ​​(e.g., temperature, pressure, etc.), mounting arrangements, use of materials, color, orientation, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in this application). For example, an element shown as integrally formed may be composed of multiple parts or elements, the position of elements may be inverted or otherwise altered, and the nature or number or position of discrete elements may be changed or altered. Therefore, all such modifications are intended to be included within the scope of the invention. The order or sequence of any process or method steps may be changed or rearranged according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure described herein that performs the function, and not only structurally equivalent but also equivalent in structure. Other substitutions, modifications, alterations, and omissions may be made in the design, operation, and arrangement of the exemplary embodiments without departing from the scope of the invention. Therefore, the present invention is not limited to the specific embodiments, but extends to various modifications that still fall within the scope of the appended claims.

[0073] Furthermore, in order to provide a concise description of exemplary embodiments, not all features of actual embodiments (i.e., those features that are not relevant to the best mode of carrying out the invention as currently considered, or those features that are not relevant to implementing the invention) may be omitted.

[0074] It should be understood that numerous specific implementation decisions can be made during the development of any practical implementation, such as in any engineering or design project. Such development efforts may be complex and time-consuming, but for those skilled in the art who benefit from this disclosure, the development effort will be a routine work of design, manufacturing, and production without requiring much experimentation.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for staggered heating based on the operation of the electricity spot market, characterized in that: include, Heating equipment is used to provide heating capacity; The intelligent control system monitors electricity prices in real time through an interface with the electricity spot market and adjusts the operating strategy of the heating equipment according to changes in electricity prices. The intelligent control system determines whether to operate by using comprehensive judgment rules and considers the weight of different factors. The system state threshold is set by the intelligent control system. The judgment rule includes not starting the heating system when the system state value is less than the system state threshold; The heating system is activated when the system status value is greater than the system status threshold. That is, according to the formula S_real-time = α1P + α2H + α3D; Determine whether S in real time is greater than the S threshold; Where S represents the real-time status of the system, α1, α2, and α3 represent different weighting coefficients with different values ​​in different regions, P represents the electricity price, H represents the status assessment of the heating equipment, and D represents the user demand. P, H, and D are all obtained after calculation. The formula for calculating the electricity price P is as follows: P = A*X + B*Y + C*Z; Among them, A, B, and C are the weighting coefficients of electricity prices, and X, Y, and Z are the factors that affect electricity prices, namely market demand, supply and demand, and policy regulation. The formula for calculating the condition assessment H of the heating equipment is as follows: H = p*m + q*n; Where p and q are the weighting coefficients of the heating equipment status, and m and n are the factors affecting the heating equipment status, namely the equipment operating status and fault conditions. The formula for calculating the user demand H is as follows: H = α*E + β*F + γ*G; Among them, α, β, and γ are the weighting coefficients of user demand priority, and E, F, and G are the factors that affect user demand priority, namely user type, temperature requirements, and time urgency. Data analysis algorithms, combining historical data and weather forecast information, predict the trend and fluctuation of electricity prices, and adjust the operation strategy of heating equipment based on the predicted electricity prices. Energy storage devices are used to store excess heat energy when electricity prices are low and release it to supply heating equipment when electricity prices rise.

2. The peak-shaving heating method based on the operation of the electricity spot market as described in claim 1, characterized in that: The intelligent control system adjusts the operating strategy of the heating equipment based on the predicted electricity price, and the operating strategy includes changing the power and operating time parameters of the heating equipment; Data analysis algorithms, based on historical data and weather forecasts, enable the prediction of electricity prices; The intelligent control system has remote monitoring and control functions, and can remotely control and adjust heating equipment and energy storage equipment through Internet communication. Energy storage devices, including thermal storage tanks and heat pumps, are used to store excess heat energy when electricity prices are low and release it to supply heating equipment when electricity prices rise. Among them, the intelligent control system takes into account the supply and demand relationship in the electricity spot market when adjusting the operation strategy of heating equipment, and realizes flexible scheduling of heating equipment according to changes in electricity prices.

3. The peak-shaving heating method based on the operation of the electricity spot market as described in claim 1 or 2, characterized in that: By strictly controlling the rate of change of the steam extraction volume of the heating equipment to ensure that the rate does not exceed 5 tons / hour, and by closely monitoring the changes in the axial thrust of the steam turbine.

4. The peak-shaving heating method based on the operation of the electricity spot market as described in claim 3, characterized in that: By strictly controlling the temperature change rate of each heating network heater to no more than 2.5 degrees Celsius per minute, excessive thermal stress in thick-walled components can be prevented.

5. The peak-shaving heating method based on the operation of the electricity spot market as described in claim 4, characterized in that: This includes controlling the valve opening changes of each heat exchange station based on the "thermal expansion and contraction" characteristics of the high-temperature water during the rise and fall of the heating water temperature, and strictly controlling the high-temperature water return pressure within the range of 0.4-0.45 MPa to avoid excessive pressure after the temperature rises. After the pipeline temperature increases, the primary heating station strictly controls the high-temperature water return pressure to not exceed 0.6 MPa, and promptly opens the return water filter drain valve to release pressure when the pressure exceeds 0.55 MPa, which can prevent leakage of pipeline valves and flange components.

6. The peak-shaving heating method based on the operation of the electricity spot market as described in claim 4 or 5, characterized in that: By strengthening inspections of the heating network by the heating company, the impact of temperature changes on the expansion joints can be detected in a timely manner, so as to deal with abnormal situations promptly.

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