Point-to-network channel electric heating composite energy storage new energy increasing and delivering space determination method and system

Abstract

The invention provides a point-to-network channel electric heating composite energy storage new energy increasing and delivering space determination method and system. The method comprises the following steps: acquiring technical and economic parameters of each element in project planning, and acquiring a transmission power curve of a power transmission channel; constructing and solving a total element optimization model based on the output power curve and the technical and economic parameters of each element; calculating a threshold index of project planning according to an optimization result in response to the optimization result which meets the optimization target and is obtained through solving; and comparing whether the threshold value index meets a threshold value requirement or not, and executing solving circulation based on a comparison result until the threshold value requirement is met, and calculating to obtain a new energy electric quantity space of the power transmission channel. Through collaborative optimization of electric heating composite energy storage and iterative decision based on economic indexes, on the premise that stable operation of the power transmission channel is ensured, the electric quantity space of new energy is increased in the maximum channel, and meanwhile the economic feasibility of the planning scheme is ensured.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of power system planning and operation, in particular to a method and system for determining a space for increasing new energy transmission by point-to-grid channel electric-thermal composite energy storage. BACKGROUND

[0002] Under the macro background of accelerating the construction of new power systems and promoting green and low-carbon energy transformation, the installed capacity and power generation of new energy in China continue to grow rapidly. This trend has squeezed the power generation space of traditional coal-fired units, leading to a decrease in utilization hours, and further causing the capacity of the "point-to-grid" transmission channel to be idle, resulting in waste of valuable transmission resources. To avoid repeated construction of channels and improve the utilization efficiency of existing assets, it is urgent to explore how to fully utilize the idle channel capacity to increase the transmission of new energy power, which has become a key research topic in the industry.

[0003] Currently, some technical solutions have been proposed to solve this problem, such as configuring electrochemical energy storage and optimizing the operation of thermal power units to match the power curve of the sending and receiving ends. However, these existing solutions have obvious limitations: on the one hand, they usually do not consider heating and thermal storage systems as key flexible adjustment resources, and cannot take advantage of the unique advantages of thermal energy storage in long-term and large-capacity energy shifting, thereby limiting the potential of the channel to accommodate new energy; on the other hand, existing methods focus more on optimizing technical indicators such as new energy consumption rate and power abandonment rate, but lack in-depth analysis and constraints on the economic performance of the whole life cycle of the scheme in the planning stage, resulting in a technically feasible but economically unsatisfactory scheme, which greatly reduces its practical value and feasibility.

[0004] Therefore, the application provides a method and system for determining a space for increasing new energy transmission by point-to-grid channel electric-thermal composite energy storage to solve one of the above technical problems. SUMMARY

[0005] The purpose of the present application is to provide a method and system for determining a space for increasing new energy transmission by point-to-grid channel electric-thermal composite energy storage, which can solve at least one of the above technical problems. The specific scheme is as follows: According to the specific embodiments of the present application, in a first aspect, the application provides a method for determining a space for increasing new energy transmission by point-to-grid channel electric-thermal composite energy storage, comprising: Obtain technical and economic parameters of each element in the project planning, and obtain a sending power curve of the power transmission channel; wherein, the elements include a coal-fired boiler, a coal power unit, a new energy, an electrical energy storage, and a heat storage system; based on the sending power curve and the technical and economic parameters of each element, a full-element optimization model is constructed and solved; wherein, the full-element optimization model minimizes the total cost of the project planning as an optimization objective, and contains operation constraints of each element in the project planning; in response to obtaining an optimization result that meets the optimization objective, a threshold index of the project planning is calculated according to the optimization result; compare whether the threshold index meets a threshold requirement, and perform a solving loop based on the comparison result until the new energy power space of the power transmission channel is calculated after the threshold requirement is met.

[0006] In an embodiment, the solving loop is performed based on the comparison result until the new energy power space of the power transmission channel is calculated after the threshold requirement is met, including: if the threshold index does not meet the threshold requirement, adjusting the scale parameters of the electrical energy storage and the heat storage system respectively, and re-solving the full-element optimization model until the threshold index that meets the threshold requirement is obtained; if the threshold index meets the threshold requirement, calculating the new energy power space of the power transmission channel based on the optimization result of the current time.

[0007] In an embodiment, the technical and economic parameters of the coal-fired boiler include maximum thermal power, minimum output, ramp rate, thermal efficiency, unit operation cost, unit cost, unit fixed operation cost, start-up cost, and ramp penalty; the technical and economic parameters of the coal power unit include installed capacity, minimum technical output, ramp rate, thermal efficiency, maximum heat-to-power ratio, auxiliary power rate, unit operation cost, unit cost, unit fixed operation cost, start-up cost, ramp penalty, and maintenance time; the technical and economic parameters of the new energy include installed capacity, unit cost, unit fixed operation cost, and new energy power generation historical data prediction result; the sending power curve of the power transmission channel is determined based on historical operation data of the power transmission channel.

[0008] In an embodiment, the scale parameters in the technical and economic parameters of the electrical energy storage and the heat storage system are obtained based on a preset.

[0009] In an embodiment, in addition to the scale parameters, the technical and economic parameters of the electrical energy storage include unit cost, unit fixed operation cost, efficiency, charge loss, available depth ratio, and initial charge ratio.

[0010] In an embodiment, the heat supply and storage system comprises an electric boiler and a heat storage tank; and the technical and economic parameters of the heat supply and storage system, in addition to the scale parameter, comprise the unit operation cost, the unit cost, the unit fixed operation cost of the electric boiler, and the unit cost, the unit fixed operation cost, the heat release efficiency, the loss coefficient, the heat storage loss and the initial heat storage proportion of the heat storage tank.

[0011] In an embodiment, the economic optimization target is expressed by the following formula: ; wherein, represents the economic optimization target, k represents the number of elements of the energy planning system, represents the element identifier, represents the fixed operation cost of each element, represents the unit variable operation cost of each element, represents the actual output of each element, represents the initial investment of each element.

[0012] In an embodiment, the operation constraints of each element in the project planning comprise coal-fired boiler constraints, coal-fired unit constraints, new energy output constraints, power transmission channel constraints, electric energy storage constraints and heat storage constraints; the coal-fired boiler constraints comprise: 0<= p c [t]<= ; 0<= p c [t]- p c [t-1]<= ; wherein, represents the maximum heat power, p c [t] represents the real-time heat power at time t, p c [t-1] represents the real-time heat power at time t-1; the coal-fired unit constraints comprise: *δ*σ<= p g [t]<= *σ; 0<= p gh [t]<= *ρ; 0<= p g [t]- p g [t-1]<= ; wherein, represents the installed capacity of the coal-fired unit, δ represents the minimum output level (unit value), σ=1 represents that the unit is normally operated at this period, and σ=0 represents that the unit is under maintenance at this period, pg [t] represents the real-time electric power at time t, p gh [t] represents the real-time thermal power at time t, and p represents the maximum thermal-to-electric power ratio; the new energy output constraint is composed of a photovoltaic power generation constraint and a wind power generation constraint; the photovoltaic power generation constraint comprises: 0 p p [t] p ideal p [t]; wherein, p p [t] represents the actual photovoltaic power generation power, p ideal p [t] represents the ideal output of photovoltaic power generation; the wind power generation constraint comprises: 0 p w [t] p ideal w [t]; wherein, p w [t] represents the actual wind power generation power, p ideal w [t] represents the ideal output of wind power generation; the power transmission channel constraint comprises: ; wherein, represents the number of power generation units subject to the power transmission channel constraint, represents the on-grid power of one of a coal-fired power unit, a new energy, and an electric energy storage, represents the upper limit constraint of the sending channel; the electric energy storage constraint is composed of a charge-discharge power upper and lower limit constraint and an electric energy storage capacity upper and lower limit constraint; the charge-discharge power upper and lower limit constraint comprises: p ch b ch [t] *p ch + ; p dc [t] b dc [t] *p dc + ; b ch [t] + b dc [t] <= 1; wherein, p ch [t] is the charging power of the electric energy storage at time t, t p dc ​[t] is the discharge power of the energy storage power station at time t p ch + is the upper limit of the energy storage charging power of the energy storage power station, p dc + is the upper limit of the energy storage discharge power of the energy storage power station, ch [t] is the state of charge of the energy storage system at time t dc [t] is the state of discharge of the energy storage system at time t ch [t] and b dc [t] each take a value of 0 or 1; the energy storage power upper and lower limit constraint comprises: E [t] = [t] - [t] E [t0] + [t0] ; E [t] ; wherein, E [t] is the energy storage power of the energy storage power station at time t is the charging efficiency of the energy storage, is the discharging efficiency of the energy storage, is the upper limit of the energy storage power, is the lower limit of the energy storage power; the thermal energy storage constraint is represented by the heating constraint of the electric boiler; the heating constraint of the electric boiler comprises: 0 p b [t] p be ; 0 <= [t] p ts [t] <= [t] p tsm ; 0 <= [t] p te [t] <= [t] p tem ; 0 <= [t] E t [t] <= [t] p tsm *T; wherein, p b [t] represents the electric boiler heating power, p be represents the maximum heating power of the electric boiler, p ts [t] represents the real-time heat storage power of the heat storage tank, p tsm represents the maximum heat storage power of the heat storage tank, p te ​​​​[t] represents the real-time heat release power of the heat storage tank, p tem [t] represents the maximum heat release power of the heat storage tank, E t [t] represents the real-time heat storage amount of the heat storage tank, and T represents the heat storage duration of the heat storage tank under the maximum heat storage power.

[0013] In an implementation, the new energy power space includes new energy direct grid-connected power, new energy grid-connected power after electric energy storage, and new energy grid-connected power after thermal energy storage; and a calculation formula of the new energy power space is: ; wherein, represents the new energy power space in the power transmission channel, represents the new energy direct grid-connected power, represents the new energy grid-connected power after electric energy storage, represents the new energy grid-connected power after thermal energy storage.

[0014] According to the specific implementation of the present application, in a second aspect, the present application provides a point-to-grid channel electric-thermal composite energy storage and power transmission new energy space determination system, comprising: A parameter acquisition module is configured to acquire technical and economic parameters of various elements in a project plan and to acquire a power transmission channel power transmission curve; wherein the various elements include a coal-fired boiler, a coal power unit, new energy, electric energy storage, and a thermal energy storage system, and the scale parameters in the technical and economic parameters of the electric energy storage and the thermal energy storage system are obtained based on a preset; an optimization model construction module is configured to construct a full-element optimization model based on the power transmission curve and the technical and economic parameters of the various elements, the full-element optimization model taking minimization of a total cost of the project plan as an optimization objective and containing operation constraints of the various elements in the project plan; a model solution module is configured to solve the full-element optimization model to obtain an optimization result that meets the optimization objective under the operation constraints; a threshold value calculation module is configured to calculate a threshold index of the project plan according to the optimization result; a solution cycle module is configured to compare whether the threshold index meets a threshold requirement and to determine whether to adjust the scale parameters of the electric energy storage and the thermal energy storage system to recalculate according to a comparison result; and a power space calculation module is configured to calculate a new energy power space of the power transmission channel based on a current optimization result when the threshold index meets the threshold requirement.

[0015] Compared with the prior art, the above scheme of the present application has at least the following beneficial effects: In one aspect, the present application effectively utilizes the long-time and large-capacity regulation characteristics of thermal storage by incorporating the scale parameter preset of the thermal storage system and the operation constraints into the full-factor optimization model, and under the premise of ensuring the power curve of the sending channel, the new energy power that cannot be connected to the grid due to fluctuations can be stored in the form of "electricity-heat" conversion, and part of the heat output of the coal-fired unit can be replaced when needed, thereby indirectly freeing up channel capacity for new energy power. In this way, the acceptance capacity of the channel for fluctuating new energy can be significantly improved, and ultimately reflected in the calculated new energy power space, which includes "power connected to the grid after heat storage", achieving the purpose of adding new energy power space on the basis of existing technology.

[0016] On the other hand, the present application sets the minimization of the total cost including initial investment and operation cost as the optimization target, and uses economic indicators such as investment return rate as the decision criterion for iterative optimization, which fundamentally ensures the economic feasibility of the planning scheme. On this basis, through continuous parameter adjustment and model re-solution, the optimal configuration scheme that meets the technical and economic threshold requirements is automatically found, thereby changing the purely technology-oriented planning to technical and economic collaborative optimization. This way effectively avoids the problem of technically feasible but too high investment to be implemented, greatly improves the practicality of the calculation results, and promotes the efficient allocation of resources. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 A flowchart of a point-to-grid channel electric-thermal composite energy storage and new energy space determination method is shown; Figure 2 A specific implementation flowchart is shown; Figure 3 A unit block diagram of a point-to-grid channel electric-thermal composite energy storage and new energy space determination system according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in further detail below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0019] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "an" and "the" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. "Multiple" generally includes at least two.

[0020] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0021] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.

[0022] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0023] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a product or system comprising a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a product or system. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the product or system that includes said element.

[0024] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0025] The optional embodiments of this application are described in detail below with reference to the accompanying drawings.

[0026] The embodiments provided in this application are embodiments of a method for determining the space for point-to-grid channel electrothermal composite energy storage to enhance new energy transmission.

[0027] The following is combined Figure 1 The embodiments of this application will be described in detail.

[0028] Figure 1 A flowchart is shown for a method to determine the space for new energy transmission through point-to-grid channel electrothermal composite energy storage, as follows: Figure 1 As shown, the procedure includes steps S101 to S104.

[0029] S101, acquire technical and economic parameters of each element in the project planning, and acquire a sending power curve of the power transmission channel.

[0030] The elements include a coal-fired boiler, a coal power unit, new energy, an electric energy storage system, and a heat storage system. The scale parameter of the technical and economic parameters of the electric energy storage system and the heat storage system is obtained based on a preset.

[0031] For example, the power transmission channel specifically refers to a dedicated power transmission system connecting a sending end energy base and a receiving end power grid, having a fixed maximum capacity, and having a sending power curve that must be strictly followed.

[0032] In some embodiments, the sending power curve adopts an 8760 curve, that is, a curve with 8760 points, which is constructed based on 8760 power points collected every time interval in a year of 365 days, wherein the power point collection interval is one hour.

[0033] S102, based on the sending power curve and the technical and economic parameters of each element, construct and solve a full-element optimization model.

[0034] The full-element optimization model minimizes the total cost of the project planning as an optimization target, and includes operation constraints of each element in the project planning.

[0035] The total cost of the project planning includes the sum of the fixed operation cost, the variable operation cost, and the initial investment of the coal-fired boiler, the coal power unit, the new energy, the electric energy storage system, and the heat storage system.

[0036] S103, in response to the optimization result obtained by solving the optimization target, calculate a threshold index of the project planning according to the optimization result.

[0037] S104, compare whether the threshold index meets a threshold requirement, and perform a solving loop based on the comparison result until the new energy power space of the power transmission channel is calculated after the threshold requirement is met.

[0038] In this application, the new energy power space specifically refers to the total annual new energy power generation that can be newly accepted and successfully transmitted on the basis of the original system by introducing and optimizing the dispatching of the electric energy storage system and the heat storage system under the premise of strictly ensuring the original sending power curve of the power transmission channel.

[0039] Specifically, the new energy power space of the power transmission channel includes new energy direct grid-connected power, new energy grid-connected power after electric energy storage, and new energy grid-connected power after heat storage.

[0040] The method provided in the application, on the one hand, by incorporating the scale parameter preset of the thermal storage system and the operation constraint into the full-factor optimization model, effectively utilizes the long-time and large-capacity regulation characteristics of the thermal storage, and under the premise of ensuring the power curve of the sending channel, the new energy power that cannot be connected to the grid due to fluctuation can be stored in the form of "electricity-heat" conversion, and part of the heat output of the coal-fired unit can be replaced when needed, thereby indirectly releasing the channel capacity for new energy power. In this way, the acceptance capacity of the channel for fluctuating new energy can be significantly improved, and ultimately reflected in the calculated new energy power space, which contains the "power connected to the grid after heat storage", realizing the purpose of adding new energy power space on the basis of the existing technology.

[0041] On the other hand, by setting the minimization of the total cost including initial investment and operation cost as the optimization target, and taking the economic indicators such as investment return rate as the decision criterion for iterative optimization, the economic feasibility of the planning scheme is fundamentally ensured. On this basis, by continuously adjusting parameters and re-solving the model, the optimal configuration scheme that meets the technical and economic threshold requirements is automatically found, thereby converting the purely technology-oriented planning into technical and economic collaborative optimization, which effectively avoids the problem of technically feasible but too high investment to be implemented, greatly improves the practicality of the calculation results, and promotes the efficient allocation of resources.

[0042] In the embodiment of the application, in step S101, the technical and economic parameters of each element in the project planning are obtained, and the sending power curve of the power transmission channel is obtained. The following shows the specific data types obtained and the acquisition method of part of the data.

[0043] In some embodiments, the technical and economic parameters of the coal-fired boiler include maximum thermal power, minimum output, ramp rate, thermal efficiency, unit operation cost, unit cost, unit fixed operation cost, start-up cost, and ramp penalty.

[0044] In some embodiments, the technical and economic parameters of the coal-fired unit include installed capacity, minimum technical output, ramp rate, thermal efficiency, maximum heat-to-power ratio, auxiliary power rate, unit operation cost, unit cost, unit fixed operation cost, start-up cost, ramp penalty, and maintenance time.

[0045] In some embodiments, the technical and economic parameters of the new energy include installed capacity, unit cost, unit fixed operation cost, and new energy power generation historical data prediction results.

[0046] In some embodiments, the technical and economic parameters of the electric energy storage include scale parameter, unit cost, unit fixed operation cost, efficiency, charging loss, available depth ratio, and initial charging ratio.

[0047] In this embodiment, the thermal energy storage system includes an electric boiler and a thermal storage tank, and the technical and economic parameters of the thermal energy storage system are composed of the relevant parameters corresponding to each of the two parts.

[0048] In some embodiments, the technical and economic parameters of the thermal storage system include scale parameters, including the unit operating cost, unit cost, and unit fixed operating cost of the electric boiler, as well as the unit cost, unit fixed operating cost, heat release efficiency, loss coefficient, heat storage loss, and initial heat storage ratio of the thermal storage tank.

[0049] In some embodiments, the power output curve of the transmission channel is determined based on historical operating data of the transmission channel. Taking the 8760 curve as an example, for instance, the power data of 8760 hours from the most recent complete operating year can be directly used as a typical curve, or the arithmetic mean of the three power values ​​corresponding to each hour over three years can be taken to generate a typical curve composed of 8760 average power values.

[0050] In this application, in step S102, a total factor optimization model is constructed and solved based on the power output curve and the technical and economic parameters of each factor. The total factor optimization model takes minimizing the total project planning cost as the economic optimization objective, and is expressed by the following formula: ; in, Indicates the goal of economic optimization. k Indicates the number of elements in the energy planning system. Indicates element identifier, This represents the fixed operating costs of each factor. This represents the variable operating cost per unit of each factor. This indicates the actual output of each element. This indicates the initial investment in each factor.

[0051] In this application, in step S102, the total factor optimization model includes the operational constraints of each factor in the project planning. For ease of understanding, the following shows each operational constraint and its representation.

[0052] In this embodiment of the application, the operational constraints of each element in the project planning include constraints on coal-fired boilers, coal-fired power units, new energy output, power transmission channels, electrical energy storage, and thermal energy storage.

[0053] Among them, the constraints on coal-fired boilers include: 0<= p c [t]<= ; 0<= p c [t]- pc [t-1]<= ; wherein, Pmax represents the maximum thermal power, p c [t] represents the real-time thermal power at time t, p c [t-1] represents the real-time thermal power at time t-1.

[0054] The coal-fired unit constraints include: *delta*sigma<= p g [t]<= *sigma; 0<= p gh [t]<= *rho; 0<= p g [t]- p g [t-1]<= ; wherein, Pmax represents the installed capacity of the coal-fired unit, delta represents the minimum output level (unit), sigma = 1 represents that the unit is normally operated in the period, and sigma = 0 represents that the unit is under maintenance in the period, p g [t] represents the real-time electric power at time t, p gh [t] represents the real-time thermal power at time t, and rho represents the maximum thermal-electric ratio.

[0055] In some specific embodiments, the new energy output constraints are composed of photovoltaic power generation constraints and wind power generation constraints.

[0056] wherein, the photovoltaic power generation constraints include: 0 p p [t] p ideal p [t]; wherein, p p [t] represents the actual power of photovoltaic power generation, p ideal p [t] represents the ideal output of photovoltaic power generation, and the constraint indicates that at time t, the actual power of photovoltaic power generation is less than the ideal output of photovoltaic power generation. t

[0057] The wind power generation constraints include:​ 0 p w [t] p ideal w [t]; wherein, p w [t] represents the actual power of wind power generation, p ideal w [t] represents the ideal output of wind power generation, and the constraint indicates that at the time t, the actual power of wind power generation is less than its ideal output. t

[0058] wherein, for the photovoltaic power generation constraint and the wind power generation constraint, the ideal output represents the maximum power that can be theoretically generated by the wind turbine or the photovoltaic array under the natural conditions at a certain specific time, without considering any artificial power limiting or system constraints.

[0059] The power transmission channel constraint includes: ; wherein, represents the number of power generation units subject to the power transmission channel constraint, represents the on-grid power of one of the coal-fired units, new energy and electric energy storage, represents the upper limit constraint of the sending channel; In some specific embodiments, the electric energy storage constraint is composed of the charge and discharge power upper and lower limit constraints and the energy storage power upper and lower limit constraints.

[0060] wherein, the charge and discharge power upper and lower limit constraints include: p ch b ch [t] *p ch + ; p dc [t] b dc [t] *p dc + ; b ch [t]+b dc [t]<=1; wherein, p ch [t] is the charging power of the energy storage power station at the time t, t p dc ​​[t] is the discharging power of the energy storage power station at time t [t] is the discharging power of the energy storage power station at time p ch + [t] is the upper limit of the energy storage charging power of the energy storage power station, p dc + [t] is the upper limit of the energy storage discharging power of the energy storage power station, ch [t] is the state of charge of the energy storage system at time t [t] is the state of charge of the energy storage system at time dc [t] is the state of discharge of the energy storage system at time t [t] is the state of discharge of the energy storage system at time ch [t] and b dc [t] each take a value of 0 or 1.

[0061] The upper and lower limits of the energy storage power constraint include: E [t] = E [t0] + ; E [t] ; wherein, E [t] is the power of the energy storage power station at time t [t] is the power of the energy storage power station at time is the charging efficiency of the energy storage, is the discharging efficiency of the energy storage, is the upper limit of the energy storage power, is the lower limit of the energy storage power.

[0062] In some specific embodiments, the thermal energy storage constraint is represented by the heating constraint of the electric boiler.

[0063] wherein, the heating constraint of the electric boiler includes: 0 p b [t] p be ; 0 <= p ts [t] <= p tsm ; 0 <= p te [t] <= p tem ; 0 <= E t [t] <= p tsm *T; wherein,p b [t] represents the heating power of the electric boiler, p be represents the maximum heating power of the electric boiler, p ts [t] represents the real-time heat storage power of the heat storage tank, p tsm represents the maximum heat storage power of the heat storage tank, p te [t] represents the real-time heat release power of the heat storage tank, p tem represents the maximum heat release power of the heat storage tank, E t [t] represents the real-time heat storage amount of the heat storage tank, and T represents the heat storage duration of the heat storage tank under the maximum heat storage power.

[0064] In the embodiments of the present application, step S104 is composed of a loop step S104a and a loop termination step S104b.

[0065] In the loop step S104a, if the threshold index does not meet the threshold requirement, the scale parameters of the electric energy storage and heat storage system are adjusted, and the full-factor optimization model is solved again until the threshold index meeting the threshold requirement is obtained.

[0066] In the loop termination step S104b, if the threshold index meets the threshold requirement, the new energy power space of the power transmission channel is calculated based on the optimization result of the current time.

[0067] In some embodiments, the threshold index includes a new energy utilization rate or an investment return rate. If the threshold index selects the new energy utilization rate, the threshold requirement selects the index for the new energy utilization rate. Similarly, if the threshold index selects the investment return rate, the threshold requirement selects the index for the investment return rate. In addition, if the threshold index selects both the new energy utilization rate and the investment return rate, the threshold requirement can select a comprehensive index set for both.

[0068] In some embodiments, the new energy power space in step S104 includes a new energy direct on-grid power, a new energy on-grid power after electric energy storage, and a new energy on-grid power after heat storage.

[0069] In some specific embodiments, the calculation formula of the new energy power space is: ; wherein, represents the new energy power space in the power transmission channel, represents the new energy direct on-grid power, represents the new energy on-grid power after electric energy storage, represents the new energy on-grid power after heat storage.

[0070] Figure 2 A specific implementation flowchart is shown.

[0071] In the specific implementation flowchart, as shown in Figure 2 , first, data preparation and parameter presetting are performed. Specifically, technical and economic parameters of the coal-fired boiler are obtained, including maximum thermal power, minimum output, ramp rate, thermal efficiency, unit operating cost, unit cost, unit fixed operating cost, start-up cost, and ramp penalty. Technical and economic parameters of the coal-fired power unit are obtained, including installed capacity, minimum technical output, ramp rate, thermal efficiency, maximum heat-to-power ratio, auxiliary power rate, unit operating cost, unit cost, unit fixed operating cost, start-up cost, ramp penalty, and maintenance time. The power transmission channel's 8760 curve is obtained, which is determined based on the historical operation data of the channel in recent years, and consists of 8760 power points, one data point per hour throughout the year, representing the power transmission plan that must be strictly followed. The technical and economic parameters of the new energy are obtained, including the predicted power generation characteristics based on historical data of the project location, as well as the installed capacity, unit cost, and unit fixed operating cost. The scale parameters of the electrical energy storage system are preset, including the installed capacity and the energy storage duration, and other technical and economic parameters such as the unit cost, unit fixed operating cost, efficiency, charging loss, available depth ratio, and initial charging ratio are obtained. The scale parameters of the heat storage system are preset, including the maximum thermal power of the electric boiler, as well as the maximum heat storage power, maximum heat release power, and heat storage duration of the heat storage tank, and other technical and economic parameters such as the unit operating cost, unit cost, and unit fixed operating cost of the electric boiler, as well as the unit cost, unit fixed operating cost, heat release efficiency, loss coefficient, heat storage loss, and initial heat storage ratio of the heat storage tank are obtained.

[0072] After obtaining the data required for modeling, the construction and solution of the full-factor optimization model are performed. First, based on all the above parameters, a full-factor optimization model is constructed, which takes the minimization of the total cost of the entire planning system including the coal-fired boiler, coal-fired power unit, new energy, electrical energy storage, and heat storage system as the optimization objective, and the total cost is the sum of the fixed operating cost, variable operating cost, and initial investment of each factor. In addition, the model also includes the operation constraints of each factor, such as the output and ramp constraints of the coal-fired boiler, the electrical / thermal output and operation state constraints of the coal-fired power unit, the upper limit of new energy output, the upper limit of power of the power transmission channel, the charging and discharging power and electrical quantity state constraints of the electrical energy storage, and the heat generation, heat storage, and heat release constraints of the heat storage system. On this basis, after solving the model with the help of a commercial solver, the evaluation indicators of the current scheme are calculated according to the optimization results, such as the new energy utilization rate or the total investment return rate. Among them, the commercial solver refers to a specific software for solving complex mathematical equations, such as Gurobi, Pine solver, etc., and the solver used in this application must have the ability to solve mixed integer linear programming equations.

[0073] In the process of solving and outputting the full-factor optimization model, an iterative optimization and decision-making stage is entered. First, the threshold indicators, including the new energy utilization rate or investment return rate, are calculated, and then the calculated threshold indicators are compared with the threshold required for project approval. If the indicators do not meet the requirements, return to the previous step to adjust the scale parameters of the electric energy storage and / or the electric heat storage system, and rebuild the model, solve and calculate the threshold, forming a closed-loop iterative optimization process, until a feasible scheme that meets the threshold requirements is found.

[0074] When the threshold indicators meet the requirements, the new energy power space of the power transmission channel can be calculated based on the running results of the current optimal scheme. The space is the annual total, which is obtained by adding the hourly new energy direct on-grid power, the on-grid power of the new energy after charging and discharging of the electric energy storage, and the on-grid power corresponding to the indirect channel space released by the new energy power through electric heat conversion and heat storage to replace the heat output. The calculation formula is the sum of the three power quantities for all 8760 hours.

[0075] The application also provides a system embodiment connected with the above-mentioned embodiment, which is used to realize the method steps of the above-mentioned embodiment, has the same explanation of the same name meaning and the same technical effect as the above-mentioned embodiment, and will not be described here.

[0076] As shown in Figure 3 The application provides a point-to-network channel electric heat composite energy storage and new energy space determination system 300, which includes: A parameter acquisition module 301 is configured to acquire technical and economic parameters of various factors in the project planning and acquire a power transmission channel power curve. The various factors include a coal-fired boiler, a coal power unit, new energy, an electric energy storage system, and an electric heat storage system. The scale parameters of the technical and economic parameters of the electric energy storage system and the electric heat storage system are obtained based on the preset.

[0077] An optimization model construction module 302 is configured to construct a full-factor optimization model based on the power curve and the technical and economic parameters of the various factors. The full-factor optimization model takes the minimization of the total cost of the project planning as an optimization objective and contains operation constraints of the various factors in the project planning.

[0078] A model solving module 303 is configured to solve the full-factor optimization model to obtain an optimization result that meets the optimization objective under the operation constraints.

[0079] A threshold calculation module 304 is configured to calculate threshold indicators of the project planning according to the optimization result.

[0080] A solving cycle module 305 is configured to compare whether the threshold indicators meet the threshold requirements and determine whether to adjust the scale parameters of the electric energy storage system and the electric heat storage system to recalculate according to the comparison result.

[0081] The power space calculation module 306 is configured to calculate the new energy power space of the power transmission channel based on the current optimization result when the threshold index meets the threshold requirement.

[0082] As to the system in the above embodiments, the specific manner in which the various modules perform operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

[0083] Although the operations are described in a particular, sequential order, this should not be understood as a requirement and the operations can be performed in other orders than that which is described, and / or the operations can be performed in parallel or in a serial manner. In certain circumstances, multitasking and parallel processing can be advantageous.

[0084] The methods and systems of the application can be implemented using standard programming techniques, with rule-based logic or other logic that can be executed by a computer processor using a computer program product coupled to the processor. It should be noted that the words "coupled" and "connected" as used herein

[0085] Any of the steps, operations, or procedures described herein can be performed or implemented using one or more hardware or software modules, alone or in combination with other devices. In one embodiment, a software module is implemented with a computer program product comprising a computer-readable medium containing computer program code, which can be executed by a computer processor for performing any or all of the steps, operations, or procedures described herein.

[0086] The foregoing description of the implementation of the present application has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the application to the precise form disclosed, and various modifications and variations are possible in light of the above teachings or can be acquired from practice of the application. One skilled in the art will appreciate that the choice and arrangement of these embodiments are designed to illustrate the principles of the application and its practical application. These embodiments are thus selected and described to best explain the principles of the application and its practical application, so that others skilled in the art can best utilize the application in various embodiments and with various modifications as are suited to the particular use contemplated.

[0087] As to the system in the above embodiments, the specific manner in which the various modules perform operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

[0088] It should be further understood that "connected" can include the presence of one or more intervening components, or be connected without other intervening components, unless otherwise indicated.

[0089] It will be further appreciated that embodiments of the application are capable of being implemented and practiced in a variety of ways and that the application is not limited in its application to any one of the exemplary embodiments described below. Further, it should be understood that implementations of the application can include any one or more of the advantageous features set forth above or any combination of any such features. Moreover, it will be appreciated that some embodiments can be capable of outperforming other embodiments.

[0090] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0091] It is to be understood that the application is not limited to the precise details of construction and the exact arrangements of the components described above and illustrated in the drawings, and that various modifications and changes can be made without departing from the scope of the application. The scope of the application is limited only by the claims that follow.

[0092] The above embodiments are only used to illustrate the technical solutions of the present application, not limit the present application; even though the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A point-to-network channel electrothermal composite energy storage boost new energy space determination method, characterized in that, The method comprises: acquiring technical and economic parameters of various elements in a project plan, and acquiring a sending power curve of a power transmission channel; wherein the various elements include a coal-fired boiler, a coal power unit, a new energy source, an electrical energy storage, and a heat storage system; based on the sending power curve and the technical and economic parameters of the various elements, constructing and solving a full-element optimization model; wherein the full-element optimization model takes minimization of a total cost of the project plan as an optimization objective, and contains operation constraints of the various elements in the project plan; in response to obtaining an optimization result that satisfies the optimization objective through solving, calculating a threshold index of the project plan according to the optimization result; comparing whether the threshold index satisfies a threshold requirement, and performing a solving loop based on a comparison result until a new energy power space of the power transmission channel is calculated after the threshold requirement is satisfied.

2. The method of claim 1, wherein, The performing of the solving loop based on the comparison result until the new energy power space of the power transmission channel is calculated after the threshold requirement is satisfied comprises: if the threshold index does not satisfy the threshold requirement, adjusting respective scale parameters of the electrical energy storage and the heat storage system, and re-solving the full-element optimization model until a threshold index that satisfies the threshold requirement is obtained; if the threshold index satisfies the threshold requirement, calculating the new energy power space of the power transmission channel based on the optimization result of the current time.

3. The method of claim 1, wherein, The technical and economic parameters of the coal-fired boiler include maximum thermal power, minimum output, ramp rate, thermal efficiency, unit operation cost, unit cost, unit fixed operation cost, start-up cost, and ramp penalty; The technical and economic parameters of the coal power unit include installed capacity, minimum technical output, ramp rate, thermal efficiency, maximum heat-to-power ratio, auxiliary power rate, unit operation cost, unit cost, unit fixed operation cost, start-up cost, ramp penalty, and maintenance time; The technical and economic parameters of the new energy source include installed capacity, unit cost, unit fixed operation cost, and prediction result of new energy power generation historical data; The sending power curve of the power transmission channel is determined based on historical operation data of the power transmission channel.

4. The method of claim 1, wherein, The scale parameters in the technical and economic parameters of the electrical energy storage and the heat storage system are obtained based on a preset.

5. The method of claim 4, wherein, The technical and economic parameters of the electrical energy storage, except for the scale parameters, include unit cost, unit fixed operation cost, efficiency, charge loss, available depth ratio, and initial charge ratio.

6. The method of claim 4, wherein, The heat storage system includes an electric boiler and a heat storage tank. The technical and economic parameters of the heat storage system, except for the scale parameters, include unit operation cost, unit cost, and unit fixed operation cost of the electric boiler, and unit cost, unit fixed operation cost, heat release efficiency, loss coefficient, heat storage loss, and initial heat storage ratio of the heat storage tank.

7. The method of claim 1, wherein, The economic optimization objective is expressed by the following formula: ； wherein, represents an economic optimization objective, k represents the number of elements of the energy planning system, represents an element identification, represents a fixed operation cost of each element, represents a variable operation cost per unit of each element, represents an actual output of each element, represents an initial investment of each element.

8. The method of claim 7, wherein, The operation constraints of the various elements in the project plan include coal-fired boiler constraints, coal power unit constraints, new energy output constraints, power transmission channel constraints, electrical energy storage constraints, and heat storage constraints; The coal-fired boiler constraints include: 0<= p c [t]<= ； 0 <= p c [t] p c [t-1] <= ; wherein, represents the maximum thermal power, p c [t] represents the real-time thermal power at time t, p c [t-1] represents the real-time thermal power at time t-1; The coal power unit constraints include: *delta*sigma <= p g [t] <= *sigma; 0 <= p gh [t] <= * p; 0 <= p g [t] p g [t-1] <= ; wherein, represents the installed capacity of coal-fired units, δ represents the minimum output level (unit), σ = 1 represents that the unit is in normal operation during the period, and σ = 0 represents that the unit is under maintenance during the period, p g [t] represents the real-time electric power at time t, p gh [t] represents the real-time thermal power at time t, and ρ represents the maximum thermal-electric ratio; The new energy output constraints are composed of photovoltaic power generation constraints and wind power generation constraints; The photovoltaic power generation constraint comprises: 0 p p [t] p ideal p [t]; wherein, p p [t] represents the actual power of photovoltaic power generation, p ideal p [t] represents the ideal output of photovoltaic power generation; The wind power generation constraint comprises: 0 p w [t] p ideal w [t]; wherein, p w [t] represents the actual power of wind power generation, p ideal w [t] represents the ideal output of wind power generation; The power transmission channel constraint comprises: ； wherein, represents the number of power generation units constrained by the power transmission channel, represents the on-grid power of one of the coal power units, new energy and electric energy storage, represents the upper limit constraint of the sending channel; The electric energy storage constraint comprises a charging and discharging power upper and lower limit constraint and an electric energy storage capacity upper and lower limit constraint; The charging and discharging power upper and lower limit constraint comprises: p ch b ch [t] *p ch + ; p dc [t] b dc [t] *p dc + ; b ch [t]+b dc [t]<=1; wherein, p ch [t] is the charging power of the energy storage power station at time t, t p dc [t] is the discharging power of the energy storage power station at time t, t p ch + is the upper limit of the energy storage charging power of the energy storage power station, p dc + is the upper limit of the energy storage discharging power of the energy storage power station, ch [t] is the state of charge of the energy storage system at time t, t dc [t] is the state of discharge of the energy storage system at time t, t ch [t] and b dc [t] each take the value 0 or 1;​​​​ The electric energy storage capacity upper and lower limit constraint comprises: E [t] = t E [t0] + t ; E [t] ； wherein, E [t] is the energy storage power station t at the moment, is the charging efficiency of the energy storage, is the discharging efficiency of the energy storage, is the upper limit of the energy storage power, is the lower limit of the energy storage power; The thermal energy storage constraint is represented by a heating constraint of the electric boiler; The heating constraint of the electric boiler comprises: 0 p b [t] p be ； 0<= p ts [t]<= p tsm ； 0<= p te [t]<= p tem ； 0 <= t <= 1 E t [t] <= p tsm *T; wherein, p b [t] represents the heating power of the electric boiler, p be represents the maximum heating power of the electric boiler, p ts [t] represents the real-time heat storage power of the heat storage tank, p tsm represents the maximum heat storage power of the heat storage tank, p te [t] represents the real-time heat release power of the heat storage tank, p tem represents the maximum heat release power of the heat storage tank, E t [t] represents the real-time heat storage amount of the heat storage tank, and T represents the heat storage duration of the heat storage tank at the maximum heat storage power.

9. The method of claim 1, wherein, The new energy power space comprises new energy direct grid-connected power, new energy grid-connected power after electric energy storage, and new energy grid-connected power after thermal energy storage; The calculation formula of the new energy power space is: ； wherein, represents the new energy power space in the power transmission channel, represents the new energy direct grid-connected power, represents the new energy grid-connected power after energy storage, represents the new energy grid-connected power after heat storage.

10. A point-to-mesh channel electrothermal composite energy storage and new energy space determination system, characterized in that, The system comprises: The parameter acquisition module is configured to acquire technical and economic parameters of various elements in a project plan, and acquire a power transmission channel power curve; wherein the various elements comprise a coal-fired boiler, a coal power unit, new energy, electric energy storage, and a heating and storage system, and the technical and economic parameters of the electric energy storage and the heating and storage system each have a scale parameter based on a preset; The optimization model construction module is configured to construct a full-element optimization model based on the power curve and the technical and economic parameters of the various elements, the full-element optimization model taking minimization of a total cost of the project plan as an optimization objective, and containing operation constraints of the various elements in the project plan; The model solution module is configured to solve the full-element optimization model to obtain an optimization result that meets the optimization objective under the operation constraints; The threshold calculation module is configured to calculate a threshold index of the project plan according to the optimization result; The solution cycle module is configured to compare whether the threshold index meets a threshold requirement, and determine whether to adjust the scale parameters of the electric energy storage and the heating and storage system to recalculate according to a comparison result; The power space calculation module is configured to calculate a new energy power space of the power transmission channel based on a current optimization result when the threshold index meets the threshold requirement.

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