Regulation and control parameter determination method and system of multi-energy complementary energy base, storage medium, electronic equipment and computer program product

Abstract

The invention discloses a regulation and control parameter determination method and system of a multi-energy complementary energy base, a storage medium, electronic equipment and a computer program product. The method comprises the steps of determining first operation cost data of a first subsystem and second operation cost data of a second subsystem according to acquired first operation data of a multi-energy complementary energy base; determining preset constraint conditions of the first operation cost data and the second operation cost data; determining a first preset parameter of the first operation cost data and a second preset parameter of the second operation cost data; determining first output data of the first subsystem, first output data of the second subsystem, second output data of the first subsystem and second output data of the second subsystem according to the first operation cost data, the second operation cost data, a preset constraint condition, a first preset parameter and a second preset parameter, third output data of the first subsystem and third output data of the second subsystem.

Description

Technical Field

[0001] The present application relates to the field of power system regulation and control, and specifically, to a method, system, storage medium, electronic device and computer program product for determining regulation parameters of a multi-energy complementary energy base. Background Art

[0002] The intermittent and volatile nature of renewable energy generation poses a great challenge to the stable operation of the power system. New power systems require more flexible adjustment resources to cope with the uncertainty of renewable energy generation. For example, in a multi-energy complementary energy base, thermal power plants or thermal power units are usually used as flexible resources to cope with the uncertainty of renewable energy generation, thus forming an energy base with complementary power generation methods of multiple energy sources.

[0003] However, the inventor of this application found that the current dispatching mode for new energy bases is a single-machine single-plant dispatching mode, that is, the upper power grid independently controls each new energy plant, each thermal power plant, and even each thermal power unit. Under this dispatching mode, due to the changes in the operating conditions of new energy plants and thermal power plants, there may be a problem of excess energy in some periods and insufficient energy in other periods, which reduces resource utilization and lacks dispatching flexibility.

[0004] The contents of the background technology are merely technologies known to the public and do not necessarily represent the existing technologies in the field. Summary of the invention

[0005] According to one aspect of the present application, the present application provides a method for determining control parameters of a multi-energy complementary energy base. The multi-energy complementary energy base includes at least one first subsystem and at least one second subsystem, and the control parameter determination method includes: determining the first operation cost data of the first subsystem and the second operation cost data of the second subsystem according to the first operation data of the multi-energy complementary energy base obtained; determining the preset constraints of the first operation cost data and the second operation cost data; determining the first preset parameter of the first operation cost data and the second preset parameter of the second operation cost data; determining the first output data of the first subsystem and the first output data of the second subsystem according to the first operation cost data, the preset constraints, the first preset parameters and the second preset parameters; determining the second output data of the first subsystem and the second output data of the second subsystem according to the second operation cost data, the preset constraints, the first preset parameters and the second preset parameters; determining the third output data of the first subsystem and the third output data of the second subsystem according to the first operation cost data, the second operation cost data, the preset constraints, the first preset parameters and the second preset parameters.

[0006] According to another aspect of the present application, the present application provides a control parameter determination system for a multi-energy complementary energy base. The multi-energy complementary energy base includes at least one first subsystem and at least one second subsystem, and the control parameter determination system is used to execute the control parameter determination method for the multi-energy complementary energy base as described above, and the control parameter determination system includes a processing unit. The processing unit determines the first operating cost data of the first subsystem and the second operating cost data of the second subsystem based on the first operating data of the multi-energy complementary energy base obtained; the processing unit determines the preset constraints of the first operating cost data and the second operating cost data; the processing unit determines the first preset parameter of the first operating cost data and the second preset parameter of the second operating cost data; the processing unit determines the first output data of the first subsystem and the first output data of the second subsystem based on the first operating cost data, the preset constraints, the first preset parameters and the second preset parameters; the processing unit determines the second output data of the first subsystem and the second output data of the second subsystem based on the second operating cost data, the preset constraints, the first preset parameters and the second preset parameters; the processing unit determines the third output data of the first subsystem and the third output data of the second subsystem based on the first operating cost data, the second operating cost data, the preset constraints, the first preset parameters and the second preset parameters.

[0007] According to another aspect of the present application, the present application also provides a non-volatile computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the method for determining the control parameters of a multi-energy complementary energy base as described above.

[0008] According to another aspect of the present application, the present application also provides an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the one or more processors are enabled to implement the method for determining the control parameters of the multi-energy complementary energy base as described above.

[0009] According to another aspect of the present application, the present application also provides a computer program product, including: a computer program stored on a computer-readable storage medium; the computer program includes program instructions, and when the program instructions are executed by the computer, the computer executes the method for determining the control parameters of the multi-energy complementary energy base as described above.

[0010] The control parameter determination method provided in the present application can determine the first operating cost data of the first subsystem and the second operating cost data of the second subsystem through the first operating data of the multi-energy complementary energy base. The present application can determine the operating constraints of the multi-energy complementary energy base by determining the preset constraints of the first operating cost data and the second operating cost data. The present application can determine the first output data of the first subsystem and the first output data of the second subsystem through the first operating cost data, the preset constraints and the first preset parameters. The present application can determine the second output data of the first subsystem and the second output data of the second subsystem through the second operating cost data, the preset constraints and the second preset parameters. The present application can determine the third output data of the first subsystem and the third output data of the second subsystem through the first operating cost data, the second operating cost data, the preset constraints, the first preset parameters and the second preset parameters.

[0011] The control parameter determination method provided in this application can adjust the multi-energy complementary energy base to adapt to the changes in the operating conditions of the multi-energy complementary energy base, integrate multiple objectives to adjust the power generation of the multi-energy complementary energy base, and improve the coordinated power generation capacity of new energy power generation and thermal power generation. The control parameter determination method provided in this application can promote the efficient consumption of new energy while ensuring the stable operation of the multi-energy complementary energy base, and improve the economic efficiency of the operation of the multi-energy complementary energy base. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0013] Figure 1 A schematic diagram showing a flow chart of a method 1000 for determining control parameters according to an embodiment of the present application;

[0014] Figure 2 A schematic diagram showing the structure of a multi-energy complementary energy base according to an embodiment of the present application is shown;

[0015] Figure 3 A schematic diagram showing the process of step S110 according to an embodiment of the present application is shown;

[0016] Figure 4 A schematic diagram showing the process of step S120 according to an embodiment of the present application is shown;

[0017] Figure 5 A schematic diagram showing the process of step S140 according to an embodiment of the present application is shown;

[0018] Figure 6 A schematic diagram showing the process of step S150 according to an embodiment of the present application is shown;

[0019] Figure 7 A schematic diagram showing the process of step S160 according to an embodiment of the present application is shown;

[0020] Figure 8 Another schematic diagram of a process of determining a control parameter 1000 according to an embodiment of the present application is shown;

[0021] Fig. 9 A schematic diagram showing a tie line power plan according to an embodiment of the present application;

[0022] Fig.10 A schematic diagram showing the predicted power generation of a photovoltaic power plant 1 and the predicted power generation of a wind power plant 1 according to an embodiment of the present application;

[0023] Fig.11 A schematic diagram showing first output data of a first subsystem according to an embodiment of the present application;

[0024] Fig.12 A schematic diagram showing first output data of a second subsystem according to an embodiment of the present application;

[0025] Fig.13 A schematic diagram showing second output data of a first subsystem according to an embodiment of the present application;

[0026] Fig.14 A schematic diagram showing second output data of a second subsystem according to an embodiment of the present application;

[0027] Fig.15 A schematic diagram showing third output data of the first subsystem according to an embodiment of the present application;

[0028] Fig.16 A schematic diagram showing third output data of the second subsystem according to an embodiment of the present application;

[0029] Fig.17 A schematic diagram of the structure of a control parameter determination system according to an embodiment of the present application is shown.

[0030] Reference numerals:

[0031] Control parameter determination system 20; processing unit 21. DETAILED DESCRIPTION

[0032] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0033] The described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of these specific details, or other modes, components, materials, devices, etc. may be adopted. In these cases, known structures, methods, devices, implementations, materials or operations will not be shown or described in detail.

[0034] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0035] The terms "first", "second" and the like in the specification, claims and the above drawings of this application are used to distinguish different objects rather than to describe a specific order.

[0036] The following is a clear and complete description of the technical solution of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0037] The multi-energy complementary energy base can be a power station base that complements new energy sources such as photovoltaic power generation and wind power generation with traditional thermal power generation. Due to the intermittent and volatile characteristics of new energy sources such as photovoltaic power generation and wind power generation, conventional thermal power is needed to supplement it, so that thermal power generation can provide power support when new energy power generation is insufficient, while ensuring the consumption of new energy and improving the stability and reliability of power supply.

[0038] The penalty cost for abandoning solar power can be the cost that needs to be paid when taking measures to abandon solar power in order to avoid risks such as grid overload and power cuts when there is excess power generated by the photovoltaic field.

[0039] The penalty cost for wind curtailment can refer to the cost that needs to be paid when the wind power cannot be fully absorbed in the power system due to the difference between the predicted wind power output and the actual wind power output.

[0040] The coal consumption characteristic coefficient is the coal consumption per unit power of a thermal power unit per unit time.

[0041] "Determining electricity based on heat" refers to an operating mode in which the power generation in a cogeneration system is determined according to the size of the heating load.

[0042] According to one aspect of the present application, the present application provides a method 1000 for determining control parameters of a multi-energy complementary energy base. Figure 1 The control parameter determination method 1000 includes steps S110 to S160. The control parameter determination method 1000 may be executed by a control parameter determination system. The control parameter determination system may be a host (or server) with data processing capabilities.

[0043] See also Figure 2 The multi-energy complementary energy base includes at least a first subsystem and a second subsystem.

[0044] In step S110, the control parameter determination system determines first operation cost data of the first subsystem and second operation cost data of the second subsystem according to the acquired first operation data of the multi-energy complementary energy base.

[0045] According to an example embodiment, the first operation data may be operation status data of the multi-energy complementary energy base. For example, the first operation data may include data such as the power grid architecture of the multi-energy complementary energy base, the connection relationship between the photovoltaic power field and the wind power field and the thermal power unit, the capacity of the photovoltaic unit in the photovoltaic power field, the capacity of the wind power unit in the wind power field, the capacity of the thermal power unit in the thermal power field, and the tie line power plan.

[0046] According to an example embodiment, the first subsystem may be a new energy subsystem of a multi-energy complementary energy base, for example, the first subsystem may include a photovoltaic power generation system and a wind power generation system. The photovoltaic power generation system may include at least one photovoltaic electric field. The wind power generation system may include at least one wind electric field.

[0047] The second subsystem may be a thermal power generation subsystem of a multi-energy complementary energy base. For example, the second subsystem may be a thermal power generation system. The thermal power generation system may include at least one thermal power unit.

[0048] See also Figure 2 The power generated by the first subsystem and the power generated by the second subsystem are collected at the power plant's substation and then transmitted.

[0049] According to an example embodiment, the first operating cost data may be operating cost data of the new energy subsystem. For example, the first operating cost data may include abandonment penalty cost data and abandonment penalty cost data.

[0050] The second operation cost data may be operation cost data of a thermal power generation subsystem. For example, the second operation cost data may include conventional peak-shaving operation cost data and deep peak-shaving operation cost data of a thermal power unit. The deep peak-shaving operation cost data may include combustion-supported deep peak-shaving operation cost data and non-combustion-supported deep peak-shaving operation cost data.

[0051] In step S120 , the control parameter determination system determines preset constraints of the first operating cost data and the second operating cost data.

[0052] According to an example embodiment, the preset constraint condition may be a constraint condition for limiting the power generation of the multi-energy complementary energy base. The preset constraint condition may include system power balance constraint, thermal power unit output constraint, thermal power unit regulation rate constraint and new energy output constraint.

[0053] The system power balance constraint can be the balance between the tie line power plan issued by the superior dispatcher (e.g., the superior power grid) and the total power generation power of the multi-energy complementary energy base. The tie line power plan can be the planned value of the electric power transmitted through the tie line. The total power generation power of the multi-energy complementary energy base includes the power generation power of the new energy subsystem and the power generation power of the thermal power generation subsystem.

[0054] The output constraint of thermal power units can be a constraint condition for the output (i.e., power generation) of thermal power units in a thermal power generation subsystem in a multi-energy complementary energy base.

[0055] The regulation rate constraint of the thermal power unit can be a constraint condition for the output change (i.e., power generation change) of the thermal power unit in the thermal power generation subsystem in a multi-energy complementary energy base.

[0056] The new energy output constraint may be a constraint condition on the output (ie, power generation) of a photovoltaic power plant and a wind power plant in a new energy subsystem in a multi-energy complementary energy base.

[0057] For example, in step S120, the control parameter determination system may determine the preset constraint conditions by sending instruction information to the user.

[0058] In step S130 , the control parameter determination system determines a first preset parameter of the first operating cost data and a second preset parameter of the second operating cost data.

[0059] According to an example embodiment, the first preset parameter may be real-time operating status data of the first subsystem (i.e., the new energy subsystem). The first preset parameter may include parameters such as tie line power plan, capacity of photovoltaic units in photovoltaic power field, short-term power forecast of photovoltaic power field, short-term power forecast error rate of photovoltaic power field, capacity of wind turbine units in wind power field, short-term power forecast of wind power field, short-term power forecast error rate of wind power field, etc.

[0060] The second preset parameter may be the real-time operation status data of the second subsystem (i.e., the thermal power generation subsystem). The second preset parameter may include the tie line power plan, the capacity of the thermal power unit in the thermal power plant, the plant power consumption rate of the thermal power unit, the output upper limit of the thermal power unit, the output lower limit of the thermal power unit, the coal consumption characteristic parameters of the thermal power unit, and other parameters.

[0061] For example, in step S130, the control parameter determination system may determine the first preset parameter and the second preset parameter by sending instruction information to the user.

[0062] In step S140, the control parameter determination system determines the first output data of the first subsystem and the first output data of the second subsystem according to the first operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

[0063] According to an example embodiment, the control parameter system may determine a minimum target of the first operating cost data based on the first operating cost data. The minimum target of the first operating cost data may be a minimum target of the operating cost data of the new energy subsystem. That is, it is the minimum target of the operating cost data of the new energy subsystem under the condition of maximum new energy consumption. The minimum target of the first operating cost data may include abandoned light penalty cost data and a minimum target of abandoned light penalty cost data.

[0064] According to an example embodiment, the first output data of the first subsystem may be data of the power generation of the first subsystem when the first operating cost data is at a minimum value. The first output data of the second subsystem may be data of the power generation of the second subsystem when the first operating cost data is at a minimum value.

[0065] For example, in step S140, the control parameter determination system may bring the first preset parameter into the minimum target formula of the first operating cost data. And the first preset parameter and the second preset parameter satisfy the preset constraint condition. When the first operating cost data takes the minimum value, the first output data of the first subsystem and the first output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, etc.

[0066] In step S150, the control parameter determination system determines the second output data of the first subsystem and the second output data of the second subsystem according to the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

[0067] According to an example embodiment, the control parameter system can determine a minimum target of the second operating cost data based on the second operating cost data. The minimum target of the second operating cost data can be a minimum target of the operating cost data of the thermal power generation subsystem, that is, a minimum target for the minimum peak-shaving cost of the thermal power unit. The minimum target of the second operating cost data can include the minimum targets of conventional peak-shaving operating cost data, combustion-supporting deep adjustment operating cost data, and non-combustion-supporting deep adjustment operating cost data of the thermal power unit.

[0068] According to an example embodiment, the second output data of the first subsystem may be data of the power generation of the first subsystem when the second operating cost data is at a minimum value. The second output data of the second subsystem may be data of the power generation of the second subsystem when the second operating cost data is at a minimum value.

[0069] For example, in step S150, the control parameter determination system can bring the preset constraints and the second preset parameters into the minimum target formula of the second operating cost data. When the second operating cost data takes the minimum value, the second output data of the first subsystem and the second output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, etc.

[0070] In step S160, the control parameter determination system determines the third output data of the first subsystem and the third output data of the second subsystem according to the first operating cost data, the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

[0071] According to an example embodiment, the control parameter system can determine a comprehensive minimum target based on the first operating cost data and the second operating cost data. The comprehensive minimum target can be a comprehensive minimum target of the operating cost data of the new energy subsystem and the operating cost data of the thermal power generation subsystem, that is, a minimum target of the operating cost data of the multi-energy complementary energy base. The comprehensive minimum target can include the minimum target of the conventional peak-shaving operating cost data, the combustion-supporting deep adjustment operating cost data, and the non-combustion-supporting deep adjustment operating cost data of the thermal power unit.

[0072] According to an example embodiment, the third output data of the first subsystem may be the data of the power generation of the first subsystem when the operating cost data of the multi-energy complementary energy base is at a minimum value. The third output data of the second subsystem may be the data of the power generation of the second subsystem when the operating cost data of the multi-energy complementary energy base is at a minimum value.

[0073] For example, in step S160, the control parameter determination system can bring the preset constraints and the second preset parameters into the comprehensive minimum target formula. When the comprehensive minimum target is minimized, the second output data of the first subsystem and the second output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, etc.

[0074] Through the above-mentioned embodiments, the control parameter determination method 1000 provided in the present application can determine the first operating cost data of the first subsystem and the second operating cost data of the second subsystem through the first operating data of the multi-energy complementary energy base. The present application can determine the operating constraints of the multi-energy complementary energy base by determining the preset constraints of the first operating cost data and the second operating cost data. The present application can determine the first output data of the first subsystem and the first output data of the second subsystem through the first operating cost data, the preset constraints and the first preset parameters. The present application can determine the second output data of the first subsystem and the second output data of the second subsystem through the second operating cost data, the preset constraints and the second preset parameters. The present application can determine the third output data of the first subsystem and the third output data of the second subsystem through the first operating cost data, the second operating cost data, the preset constraints, the first preset parameters and the second preset parameters.

[0075] The control parameter determination method 1000 provided in the present application can adjust the multi-energy complementary energy base to adapt to the changes in the operating conditions of the multi-energy complementary energy base, integrate multiple objectives to adjust the power generation of the multi-energy complementary energy base, and improve the coordinated power generation capacity of new energy power generation and thermal power generation. The control parameter determination method 1000 provided in the present application can promote the efficient consumption of new energy while ensuring the stable operation of the multi-energy complementary energy base, and improve the economic efficiency of the operation of the multi-energy complementary energy base.

[0076] Alternatively, see Figure 3 , step S110 may include step S111-step S112.

[0077] In step S111 , the control parameter determination system determines first operating cost data according to the coefficient corresponding to the first subsystem and the first operating data.

[0078] According to an example embodiment, the control parameter determination system may determine the light abandonment penalty cost in the first operation cost data by the following formula:

[0079]

[0080] in, is the cost of abandoning light in photovoltaic power plant i in period t; c pv is the unit light abandonment penalty coefficient;

[0081] is the predicted power generation of photovoltaic field i in time period t; is the actual power of photovoltaic field i in time period t; Δt is the planned time scale.

[0082] According to an example embodiment, the control parameter determination system may determine the wind abandonment penalty cost in the first operating cost data by the following formula:

[0083]

[0084] in, is the wind curtailment cost of wind farm i in period t; c w is the unit wind abandonment penalty coefficient; is the predicted power generation of wind farm i in time period t; is the actual power of wind farm i in time period t.

[0085] According to an example embodiment, the control parameter determination system may add up the operation cost data of different photovoltaic power plants and wind power plants within a period t to obtain the first operation cost data of the first subsystem.

[0086] In step S112 , the control parameter determination system determines second operating cost data according to the coefficient corresponding to the second subsystem and the first operating data.

[0087] According to an exemplary embodiment, when the thermal power generating units are in different peak load regulation stages, the second operation cost data are different.

[0088] According to the exemplary embodiment, when the thermal power unit is in the conventional peak load regulation stage, the second operating cost data of the second subsystem (i.e., the second operating cost data of the thermal power unit) is the fuel cost, and the control parameter determination system can determine the fuel cost by the following formula:

[0089]

[0090] in, is the fuel cost of thermal power unit i at time t; is the active power of thermal power unit i at time t; a i , b i、c i are the coal consumption characteristic coefficients of thermal power unit i; C co is the fuel price; Δt is the planning time scale.

[0091] According to the exemplary embodiment, when the thermal power unit is in the non-combustion-supporting deep adjustment stage, the power change of the thermal power unit will cause fatigue loss and creep loss of the generator rotor, thereby affecting the life of the thermal power unit and the economic efficiency of the operation of the thermal power unit. The second operating cost data of the second subsystem (i.e., the second operating cost data of the thermal power unit) also includes the cost of the life loss of the thermal power unit under different load rates. The control parameter determination system can determine the cost of the life loss of the thermal power unit by the following formula:

[0092]

[0093] in, is the life loss cost of thermal power unit i at time t; is the rated power of thermal power unit i, α i , β i are the loss curve coefficients of thermal power unit i, C i,unit is the purchase cost of thermal power unit i.

[0094] According to the exemplary embodiment, when the thermal power unit is in the stage of deep combustion adjustment, the combustion stability of the boiler of the thermal power unit decreases, and a plasma ignition device is required to assist the boiler combustion to ensure the safe operation of the unit. The second operating cost data of the second subsystem (i.e., the second operating cost data of the thermal power unit) also includes power consumption and anode and cathode consumption costs. The control parameter determination system can determine the power consumption and anode and cathode consumption costs of the thermal power unit by the following formula:

[0095]

[0096] in, The power consumption and anode and cathode consumption costs of thermal power unit i at time t (i.e., the unit operating cost of the thermal power unit during the combustion-supporting deep adjustment stage); P b is the burner power in the plasma ignition device; S e is the factory electricity price; E ac N is the consumption cost of anode and cathode; b is the number of plasma ignition devices.

[0097] According to an example embodiment, the control parameter determination system can determine the operating cost of thermal power unit i at time t according to the following formula:

[0098]

[0099] in, The operating cost of thermal power unit i at time t; is the lower power limit of thermal power unit i in the conventional peak load regulation stage; The lower power limit of thermal power unit i in the deep adjustment stage without combustion support; is the minimum technical output of thermal power unit i.

[0100] For example, the control parameter determination system determines In this case, the control parameter determination system determines that the thermal power unit i is in the conventional peak load regulation stage, and the second operating cost data includes the fuel cost of the thermal power unit i.

[0101] The control parameter determination system determines In this case, the control parameter determination system determines that the thermal power unit i is in the non-combustion-supporting deep adjustment stage, and the second operating cost data includes the fuel cost of the thermal power unit i and the cost of the life loss of the thermal power unit i.

[0102] The control parameter determination system determines In this case, the control parameter determination system determines that the thermal power unit i is in the combustion-supporting deep adjustment stage, and the second operating cost data includes the fuel cost of the thermal power unit i, the life loss cost of the thermal power unit i, and the electricity consumption and anode and cathode consumption costs of the thermal power unit i.

[0103] According to an example embodiment, the control parameter determination system may add up the operating cost data of different thermal power units within a period t to obtain the second operating cost data of the second subsystem.

[0104] Alternatively, see Figure 3 , step S110 may further include step S113.

[0105] In step S113 , the control parameter determination system determines additional cost data of the second operating cost data according to the coefficient corresponding to the second subsystem and the first operating data.

[0106] According to an example embodiment, the additional cost data of the second operating cost data may be the operating cost when the thermal power unit undertakes the heating task.

[0107] For example, participate Figure 2 In the heating season, some thermal power units also need to undertake heating tasks in addition to power generation. The thermal power units that undertake additional heating tasks are heating units, and the thermal power units that do not undertake heating tasks are non-heating units. In the "heat-to-electricity" mode, the heating units will be operated according to the given thermal power plan first, and the second operating cost data of the second subsystem also includes the penalty cost of thermal power units' thermal power plan deviation.

[0108] According to an example embodiment, the control parameter determination system can determine the thermal power plan deviation penalty cost of thermal power unit i at time t according to the following formula:

[0109]

[0110] in, is the penalty cost for thermal power plan deviation of thermal power unit i at time t; is the thermal power plan deviation penalty coefficient of thermal power unit i, thermal power unit i is a non-heating unit The value is 0; It is the planned output of thermal power unit i in the “heat-based electricity” mode when thermal power unit i is a heating unit.

[0111] According to an example embodiment, the control parameter determination system may add up the operating cost data of different thermal power units within a period t to obtain the second operating cost data of the second subsystem.

[0112] Alternatively, see Figure 4 , step S120 may include steps S121-S124.

[0113] In step S121 , the control parameter determination system determines a first preset constraint condition of the first operating cost data and the second operating cost data.

[0114] According to an example embodiment, the first preset constraint condition may be a system power balance constraint, which may be a balance between a tie line power plan issued by the dispatcher and a total power generation power of a multi-energy complementary energy base.

[0115] For example, the control parameter determination system can determine the first preset constraint condition according to the following formula:

[0116]

[0117] Among them, P t l is the tie line power plan; N W The number of wind farms; N P The number of photovoltaic fields; N G is the number of thermal power units.

[0118] In step S122 , the control parameter determination system determines a second preset constraint condition of the first operating cost data and the second operating cost data.

[0119] According to an example embodiment, the second preset constraint condition may be a thermal power unit output constraint. The control parameter determination system may determine the second preset constraint condition according to the following formula:

[0120]

[0121] Among them, P ig,max is the output upper limit of thermal power unit i; P i g,min is the lower limit of the output of thermal power unit i.

[0122] In step S123 , the control parameter determination system determines a third preset constraint condition of the first operating cost data and the second operating cost data.

[0123] According to an example embodiment, the third preset constraint condition may be a thermal power unit adjustment rate constraint. The control parameter determination system may determine the third preset constraint condition according to the following formula:

[0124]

[0125] in, is the regulation rate of thermal power unit i; is the active power of thermal power unit i at time t-1.

[0126] According to the exemplary embodiment, the regulation rate of the thermal power unit is different in different peak regulation stages. The control parameter determination system can also determine the third preset constraint condition according to the following formula:

[0127]

[0128] Among them, γ1 is the minimum load percentage of thermal power unit i when thermal power unit i is in the conventional peak-shaving stage; γ2 is the minimum load percentage of thermal power unit i when thermal power unit i is in the first stage of deep regulation; γ3 is the minimum load percentage of thermal power unit i when thermal power unit i is in the second stage of deep regulation; χ1 is the regulation rate percentage of thermal power unit i when thermal power unit i is in the conventional peak-shaving stage; χ2 is the regulation rate percentage of thermal power unit i when thermal power unit i is in the first stage of deep regulation; χ3 is the regulation rate percentage of thermal power unit i when thermal power unit i is in the second stage of deep regulation; χ4 is the regulation rate percentage of thermal power unit i when thermal power unit i is in the third stage of deep regulation.

[0129] Among them, the first stage of deep adjustment, the second stage of deep adjustment and the third stage of deep adjustment can be set according to the power generation power of thermal power unit i. The first stage of deep adjustment, the second stage of deep adjustment and the third stage of deep adjustment can be set according to user needs, and this application does not limit it.

[0130] In step S124 , the control parameter determination system determines a fourth preset constraint condition of the first operating cost data and the second operating cost data.

[0131] According to an example embodiment, the fourth preset constraint condition may be a new energy output constraint. The control parameter determination system may determine the fourth preset constraint condition according to the following formula:

[0132]

[0133] Alternatively, see Figure 4 , step S120 may include steps S125-S126.

[0134] In step S125 , the control parameter determination system determines fifth preset constraints of the first operating cost data and the second operating cost data.

[0135] According to an example embodiment, the fifth preset constraint condition may be a spare capacity constraint. The spare capacity constraint may be a constraint condition on the spare power generation capacity to reserve a certain amount of spare power generation capacity to apply the uncertainty on the power generation side. The fifth preset constraint condition may include a spare capacity constraint of the new energy subsystem and a spare capacity constraint of the thermal power generation subsystem.

[0136] According to an exemplary embodiment, the spare capacity of the thermal power unit is limited by the upper and lower limits of the unit output power and the thermal power unit regulation rate. The control parameter determination system can determine the spare capacity of the thermal power unit according to the following formula:

[0137]

[0138]

[0139] in, is the positive reserve capacity of thermal power unit i; is the negative reserve capacity of thermal power unit i.

[0140] The control parameter determination system can determine the overall spare capacity of the multi-energy complementary energy base according to the following formula:

[0141]

[0142] Among them, U t It is the positive reserve capacity of the multi-energy complementary energy base; D t Negative reserve capacity of multi-energy complementary energy base.

[0143] According to the exemplary embodiment, when the multi-energy complementary energy base connects the new energy power (photovoltaic power generation and wind power generation) of the new energy subsystem to the grid, the multi-energy complementary energy base must retain a certain positive spare capacity and negative spare capacity. The control parameter determination system can determine the fifth preset constraint condition according to the following formula:

[0144]

[0145] in, is the prediction error rate of photovoltaic electric field i; is the prediction error rate of wind farm i.

[0146] In step S126 , the control parameter determination system determines a sixth preset constraint condition of the first operating cost data and the second operating cost data.

[0147] According to an example embodiment, the sixth preset constraint condition may be a network constraint. The network constraint is a constraint condition for the transmission power of the interconnection line when the multi-energy complementary energy base transmits new energy power (photovoltaic power generation and wind power generation) through the interconnection line. The control parameter determination system may determine the sixth preset constraint condition according to the following formula:

[0148] max(0,P t tie,cmd -η)≤P t l ≤min(P t tie,cmd +η,P tie,max );

[0149] Among them, P t tie,cmd is the tie line power plan of the upper power grid at time t; P tie,max is the tie line power transmission limit, and η is the tie line power deviation upper limit.

[0150] Alternatively, see Figure 5 , step S140 includes steps S141-S142.

[0151] In step S141 , the control parameter determination system determines a first target according to the first operating cost data.

[0152] According to an example embodiment, the first target may be a minimum value target of the first operating cost data.

[0153] For example, in a multi-energy complementary energy base, the power system's ability to absorb new energy power mainly considers the penalty cost of abandoning solar power and the penalty cost of abandoning wind power during operation. The smaller the penalty cost data of abandoning solar power and the penalty cost of abandoning wind power, the stronger the power system's ability to absorb new energy. In a complete dispatch cycle, the control parameter determination system can determine the first target through the following formula:

[0154]

[0155] Among them, minf abn is the first target; T is the number of scheduling periods, N P is the number of photovoltaic fields; N W is the number of wind farms.

[0156] In step S142, the control parameter determination system determines the first output data of the first subsystem and the first output data of the second subsystem according to the first target, the preset constraint condition, the first preset parameter and the second preset parameter.

[0157] For example, in step S142, the control parameter determination system may bring the first preset parameter into the formula of the first target. And the first preset parameter and the second preset parameter satisfy the first preset constraint to the sixth preset constraint. When the first operating cost data takes the minimum value, the first output data of the first subsystem and the first output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, etc. The first output data of the first subsystem may include abandoned optical power and abandoned wind power. The first output data of the second subsystem may include the power generation power of the thermal power unit.

[0158] For example, in step S130, the specific values ​​of the first preset parameter and the second preset parameter determined by the control parameter determination system may be:

[0159] See 9- Fig.10 , Fig. 9 The power plan P for the tie line t l The first subsystem (i.e., the new energy subsystem) includes a photovoltaic power plant and a wind power plant. Fig.10 is the predicted power generation of photovoltaic field 1 and the predicted power generation of wind farm 1 Schematic diagram of .

[0160] Other parameters in the first preset parameter may be: unit light abandonment penalty coefficient c pv =500(MWh -1 );Prediction error rate of photovoltaic electric field Unit wind abandonment penalty coefficient c w =500(MWh -1 ); wind farm prediction error rate

[0161] The thermal power generation subsystem includes 5 thermal power units, and other parameters in the second preset parameters can be as shown in Table 1.

[0162] Table 1

[0163]

[0164] The control parameter determination system determines the loss curve coefficient α of the thermal power unit in the second preset parameter i =-4.5×10 -5 , β i =3.3×10 -5; The unit operating cost of the thermal power unit during the combustion-supporting deep adjustment stage is The planning time scale Δt is taken as 1 hour, and the number of scheduling periods T is taken as 24, so a complete scheduling cycle is 24 hours.

[0165] Furthermore, in step S123, the third preset constraint condition determined by the control parameter determination system is:

[0166]

[0167] The control parameter determination system calculates, based on the first preset parameter and the second preset parameter in step S130 and the preset constraint condition in step S120, through a mixed integer linear programming algorithm, that when the first target takes the minimum value, the first output data of the first subsystem is as follows: Fig.11 As shown, the first output data of the second subsystem is as follows Fig.12 shown.

[0168] See also Figure 11-Figure 12 , when the first operating cost data takes the minimum value, due to the impact of the volatility of new energy, a small amount of wind power and solar power are abandoned in some periods, and the remaining periods basically achieve full absorption of new energy. Thermal power units climb and slide frequently, and the frequency and amplitude of output adjustment of thermal power units are obvious. Although the absorption rate of new energy is improved in this scenario, the safety of unit operation is reduced.

[0169] Alternatively, see Figure 6 , step S150 may include steps S151-S152.

[0170] In step S151 , the control parameter determination system determines a second target according to the second operating cost data.

[0171] According to an example embodiment, the second target may be a minimum target of the second operating cost data. When the thermal power unit is in different peak load regulation states, the second target is different because the second operating cost data is different.

[0172] For example, when the number of peak load regulation and the depth of peak load regulation of thermal power units increase, the operating cost of thermal power units due to peak load regulation also increases. The control parameter determination system is used to ensure that the thermal power units operate in a healthy state and extend their operating life. The control parameter determination system can determine the second target through the following formula:

[0173]

[0174] Among them, minf dpr For the second goal; N G is the number of thermal power units.

[0175] In step S152, the control parameter determination system determines the second output data of the first subsystem and the second output number of the second subsystem according to the second target, the preset constraint condition, the first preset parameter and the second preset parameter.

[0176] For example, in step S152, the control parameter determination system may bring the second preset parameter into the formula of the second target. And the first preset parameter and the second preset parameter satisfy the first preset constraint to the sixth preset constraint. When the second operating cost data takes the minimum value, the second output data of the first subsystem and the second output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, etc. The second output data of the first subsystem may include abandoned optical power and abandoned wind power. The second output data of the second subsystem may include the power generation power of the thermal power unit.

[0177] The control parameter determination system calculates, based on the first preset parameter and the second preset parameter in step S130 and the preset constraint condition in step S120, through a mixed integer linear programming algorithm, that when the second target takes the minimum value, the second output data of the first subsystem is as follows: Fig.13 As shown, the second output data of the second subsystem is as follows Fig.14 shown.

[0178] See also Figure 13-14 When the second operating cost data takes the minimum value, the output of the thermal power units will be controlled above the conventional peak-shaving stage as much as possible, and the output of the same unit at different times will be maintained at a relatively stable level, avoiding large fluctuations in the output of the thermal power units while still ensuring a high new energy consumption rate.

[0179] Alternatively, see Figure 7 , step S160 may include steps S161-S162.

[0180] In step S161 , the control parameter determination system determines a third target based on the first operating cost data and the second operating cost data.

[0181] According to an example embodiment, the third target may be a comprehensive minimum target function of the operating cost data of the new energy subsystem and the operating cost data of the thermal power subsystem, that is, the third target is a comprehensive minimum target of the first operating cost data and the second operating cost data.

[0182] For example, when the control parameter determination system only considers the high proportion of new energy consumption by the power system, the thermal power units will be in a deep regulation state for a long time, which will increase the peak regulation cost of the thermal power units. When the control parameter determination system only considers the safety and stability requirements of the operation of the thermal power units, the thermal power units will try to maintain the output within the conventional peak regulation stage to avoid additional peak regulation costs, which may result in larger penalty costs for abandoning light or wind when the power generation of the photovoltaic power plant or wind power plant is large. The third goal can balance the relationship between the first operating cost data and the second operating cost data.

[0183] The control parameter determination system can determine the third target according to the following formula:

[0184]

[0185] Among them, minf eco For the third goal.

[0186] The third goal is to integrate the penalty costs for abandoned solar power, abandoned wind power and the second operating cost data of thermal power units to comprehensively reflect the overall operating cost of the multi-energy complementary energy base when large-scale new energy is connected to the power system.

[0187] In step S162, the control parameter determination system determines the third output data of the first subsystem and the third output data of the second subsystem according to the third target, the preset constraint condition, the first preset parameter and the second preset parameter.

[0188] For example, in step S162, the control parameter determination system may bring the first preset parameter and the second preset parameter into the formula of the third target. And the first preset parameter and the second preset parameter satisfy the first preset constraint condition to the sixth preset constraint condition. In the case where the first operating cost data and the second operating cost data are comprehensively minimized, the third output data of the first subsystem and the third output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, and the like. The third output data of the first subsystem may include abandoned optical power and abandoned wind power. The third output data of the second subsystem may include the power generation power of the thermal power unit.

[0189] The control parameter determination system calculates, based on the first preset parameter and the second preset parameter in step S130 and the preset constraint condition in step S120, through a mixed integer linear programming algorithm, that when the third target takes the minimum value, the third output data of the first subsystem is as follows: Fig.15 As shown, the third output data of the second subsystem is as follows Fig.16 shown.

[0190] See also Figure 15-16When the first operating cost data and the second operating cost data are taken as the comprehensive minimum, we can not only obtain the ideal new energy consumption amount, but also avoid the large fluctuation of the output of thermal power units. The power changes of thermal power units are stable, which effectively improves the safety and stability of thermal power units during peak regulation.

[0191] After step S162, the control parameter determination system may further send the first output data of the first subsystem, the second output data of the first subsystem, and the third output data of the first subsystem to the active power control module of the first subsystem. The control parameter determination system may further send the first output data of the second subsystem, the second output data of the second subsystem, and the third output data of the second subsystem to the active power control module of the second subsystem.

[0192] Alternatively, see Figure 8 , step S150 may also include step S153-step S154.

[0193] In step S153, the control parameter determination system determines a fourth target based on the second operating cost data.

[0194] According to an exemplary embodiment, the fourth target is a minimum target for the operating cost data of the thermal power unit when undertaking a heating task, that is, a minimum target for the penalty cost of the thermal power plan deviation of the thermal power unit.

[0195] The control parameter determination system can determine the fourth target by the following formula:

[0196]

[0197] Among them, minf heat For the fourth goal.

[0198] In step S154, the control parameter determination system determines the fourth output data of the first subsystem and the fourth output data of the second subsystem according to the fourth target, the preset constraint condition, the first preset parameter and the second preset parameter.

[0199] According to an example embodiment, the fourth output data of the first subsystem may be data of the power generation of the first subsystem when the running cost data of the thermal power unit in the heating task is minimized. The fourth output data of the second subsystem may be data of the power generation of the second subsystem when the running cost data of the thermal power unit in the heating task is minimized.

[0200] For example, in step S154, the control parameter determination system may bring the second preset parameter into the formula of the fourth target. And the first preset parameter and the second preset parameter satisfy the first preset constraint condition to the sixth preset constraint condition. In the case where the operation cost data of the thermal power unit in the heating task is minimized, the fourth output data of the first subsystem and the fourth output data of the second subsystem are determined by a mixed integer linear programming algorithm, a branch and bound algorithm, a cutting plane algorithm, etc.

[0201] In step S170, the control parameter determination system determines a first preset indicator according to the first output data of the first subsystem and the first output data of the second subsystem.

[0202] According to an example embodiment, the first preset indicator may be an evaluation indicator of the operating state of the multi-energy complementary energy base when the first output data of the first subsystem and the first output data of the second subsystem are determined. The first preset indicator may include a new energy consumption rate indicator, a thermal power unit deep adjustment rate indicator, a thermal power unit unit power generation cost indicator, and an operating cost indicator of the multi-energy complementary energy base.

[0203] The control parameter determination system can determine the first preset index according to the following formula:

[0204]

[0205] Among them, ZB1 is the new energy consumption rate indicator; ZB2 is the thermal power unit deep adjustment rate indicator; ZB3 is the thermal power unit unit power generation cost indicator; ZB4 is the system operation cost indicator; N G_S The number of thermal power units in the deep adjustment stage.

[0206] For example, in step S170, the control parameter determination system determines the first preset index: ZB1=99.95%, ZB2=19.65%, ZB3=0.242 (yuan / kWh), ZB4=2693.2 (ten thousand yuan).

[0207] When the first operating cost data takes the minimum value, it can effectively achieve a high proportion of new energy consumption or even full consumption, and the new energy consumption rate reaches 99.55%. However, the thermal power units need to frequently enter the deep adjustment stage, and the deep adjustment rate of the thermal power units is 19.65%, which means that at least one thermal power unit is in the deep adjustment state at each optimization moment, and in most cases, two or more thermal power units are required to perform deep adjustment to ensure the full consumption of new energy. The loss cost of the thermal power units and the cost of plasma investment introduced by this increase the unit power generation cost of the thermal power units and reduce the economic efficiency.

[0208] In step S180, the control parameter determination system determines a second preset indicator according to the second output data of the first subsystem and the second output data of the second subsystem.

[0209] According to an example embodiment, the second preset indicator may be an evaluation indicator of the operating status of the multi-energy complementary energy base when the second output data of the first subsystem and the second output data of the second subsystem are determined. The second preset indicator may include a new energy consumption rate indicator, a thermal power unit deep adjustment rate indicator, a thermal power unit unit power generation cost indicator, and a system operation cost indicator. The calculation formula of the second preset indicator is the same as the calculation formula of the first preset indicator, and will not be repeated here.

[0210] For example, in step S180, the control parameter determination system determines the first preset index: ZB1=73.33%, ZB2=0.14%, ZB3=0.216 (yuan / kWh), ZB4=2727.44 (ten thousand yuan).

[0211] When the second operating cost data takes the minimum value, it can avoid frequent deep regulation of thermal power units, reduce the peak regulation pressure of thermal power units, extend the service life of units, and reduce the unit power generation cost of thermal power units. However, due to the large amount of abandoned wind power and abandoned solar power of new energy, the operating cost of the multi-energy complementary energy base increases.

[0212] In step S190, the control parameter determination system determines a first preset indicator according to the third output data of the first subsystem and the third output data of the second subsystem.

[0213] According to an example embodiment, the third preset indicator may be an evaluation indicator of the operating status of the multi-energy complementary energy base when the third output data of the first subsystem and the third output data of the second subsystem are determined. The third preset indicator may include a new energy consumption rate indicator, a thermal power unit deep adjustment rate indicator, a thermal power unit unit power generation cost indicator, and a system operation cost indicator. The calculation formula of the third preset indicator is the same as the calculation formula of the first preset indicator, and will not be repeated here.

[0214] For example, in step S190, the control parameter determination system determines the first preset index: ZB1=93.8%, ZB2=11.4%, ZB3=0.231 (yuan / kWh), ZB4=2687.42 (ten thousand yuan).

[0215] When the first operating cost data and the second operating cost data take the minimum value, the relationship between the new energy consumption rate and the deep regulation rate of thermal power units can be well balanced, while ensuring a high proportion of new energy consumption and stable operation of thermal power units, and improving the economic efficiency of the operation of the multi-energy complementary energy base.

[0216] According to another aspect of the present application, the present application provides a control parameter determination system 20 for a multi-energy complementary energy base, the multi-energy complementary energy base comprising at least one first subsystem and at least one second subsystem. The control parameter determination system is used to execute the control parameter determination method 1000 as described above. Fig.17 The control parameter determination system 20 includes a processing unit 21.

[0217] According to an exemplary embodiment, the processing unit 21 determines first operating cost data of the first subsystem and second operating cost data of the second subsystem according to the acquired first operating data of the multi-energy complementary energy base.

[0218] According to an example embodiment, the processing unit 21 determines preset constraints of the first operating cost data and the second operating cost data.

[0219] According to an example embodiment, the processing unit 21 determines a first preset parameter of the first operating cost data and a second preset parameter of the second operating cost data.

[0220] According to an exemplary embodiment, the processing unit 21 determines the first output data of the first subsystem and the first output data of the second subsystem according to the first operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

[0221] According to an exemplary embodiment, the processing unit 21 determines the second output data of the first subsystem and the second output data of the second subsystem according to the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

[0222] According to an exemplary embodiment, the processing unit 21 determines the third output data of the first subsystem and the third output data of the second subsystem according to the first operating cost data, the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

[0223] The first operating data, the first subsystem, the first operating cost data, the second subsystem, the second operating cost data, the preset constraints, the first preset parameters, the second preset parameters, the first output data of the first subsystem, the first output data of the second subsystem, the second output data of the first subsystem, the second output data of the second subsystem, the third output data of the first subsystem and the third output data of the second subsystem have been described in detail above, so they will not be repeated here.

[0224] According to another aspect of the present application, the present application also provides a non-volatile computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the method for determining the control parameters of a multi-energy complementary energy base as described above.

[0225] According to another aspect of the present application, the present application also provides an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the one or more processors are enabled to implement the method for determining the control parameters of the multi-energy complementary energy base as described above.

[0226] According to another aspect of the present application, the present application also provides a computer program product, including: a computer program stored on a computer-readable storage medium; the computer program includes program instructions, and when the program instructions are executed by the computer, the computer executes the method for determining the control parameters of the multi-energy complementary energy base as described above.

[0227] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions of the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining control parameters of a multi-energy complementary energy base, the multi-energy complementary energy base comprising at least one first subsystem and at least one second subsystem, characterized in that: The control parameter determination method comprises: Determine first operating cost data of the first subsystem and second operating cost data of the second subsystem according to the acquired first operating data of the multi-energy complementary energy base; Determining preset constraints of the first operating cost data and the second operating cost data; Determining a first preset parameter of the first operating cost data and a second preset parameter of the second operating cost data; Determine first output data of the first subsystem and first output data of the second subsystem according to the first operating cost data, the preset constraint condition, the first preset parameter, and the second preset parameter; Determine second output data of the first subsystem and second output data of the second subsystem according to the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter; The third output data of the first subsystem and the third output data of the second subsystem are determined according to the first operating cost data, the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

2. The control parameter determination method according to claim 1, characterized in that: Determining the first operating cost data of the first subsystem and the second operating cost data of the second subsystem according to the acquired first operating data of the multi-energy complementary energy base includes: determining the first operating cost data according to the coefficient corresponding to the first subsystem and the first operating data; The second operating cost data is determined based on the coefficient corresponding to the second subsystem and the first operating data.

3. The method for determining control parameters according to claim 2, characterized in that: The determining, based on the acquired first operating data of the multi-energy complementary energy base, the first operating cost data of the first subsystem and the second operating cost data of the second subsystem further comprises: Additional cost data for the second operating cost data are determined based on the coefficient corresponding to the second subsystem and the first operating data.

4. The method for determining control parameters according to claim 3, characterized in that: The preset constraint conditions for determining the first operating cost data and the second operating cost data include: Determining a first preset constraint condition of the first operating cost data and the second operating cost data; Determining a second preset constraint condition of the first operating cost data and the second operating cost data; determining a third preset constraint condition of the first operating cost data and the second operating cost data; A fourth preset constraint condition of the first operating cost data and the second operating cost data is determined.

5. The method for determining control parameters according to claim 4, characterized in that: The preset constraint conditions for determining the first operating cost data and the second operating cost data further include: determining a fifth preset constraint condition of the first operating cost data and the second operating cost data; A sixth preset constraint condition of the first operating cost data and the second operating cost data is determined.

6. The method for determining control parameters according to claim 5, characterized in that: The determining the first output data of the first subsystem and the first output data of the second subsystem according to the first operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter comprises: determining a first target according to the first operating cost data; The first output data of the first subsystem and the first output data of the second subsystem are determined according to the first target, the preset constraint condition, the first preset parameter and the second preset parameter.

7. The method for determining control parameters according to claim 5, characterized in that: The determining the second output data of the first subsystem and the second output data of the second subsystem according to the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter comprises: determining a second target according to the second operating cost data; The second output data of the first subsystem and the second output number of the second subsystem are determined according to the second target, the preset constraint condition, the first preset parameter and the second preset parameter.

8. The method for determining control parameters according to claim 5, characterized in that: The determining the third output data of the first subsystem and the third output data of the second subsystem according to the first operating cost data, the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter comprises: determining a third target based on the first operating cost data and the second cost operating data; The third output data of the first subsystem and the third output data of the second subsystem are determined according to the third target, the preset constraint condition, the first preset parameter and the second preset parameter.

9. The method for determining control parameters according to claim 5, characterized in that: The determining the first output data of the first subsystem and the first output data of the second subsystem according to the first operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter further includes: determining a fourth target according to the second operating cost data; The fourth output data of the first subsystem and the fourth output data of the second subsystem are determined according to the fourth target, the preset constraint condition, the first preset parameter and the second preset parameter.

10. The method for determining control parameters according to claim 1, characterized in that: After determining the third output data of the first subsystem and the third output data of the second subsystem according to the first operating cost data, the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter, the control parameter determination method further includes: Determine a first preset indicator according to the first output data of the first subsystem and the first output data of the second subsystem; Determine a second preset indicator according to the second output data of the first subsystem and the second output data of the second subsystem; A first preset indicator is determined according to the third output data of the first subsystem and the third output data of the second subsystem.

11. A control parameter determination system for a multi-energy complementary energy base, the multi-energy complementary energy base comprising at least one first subsystem and at least one second subsystem, characterized in that: The control parameter determination system is used to execute the control parameter determination method according to any one of claims 1 to 10, and the control parameter determination system includes: A processing unit, determining first operating cost data of the first subsystem and second operating cost data of the second subsystem according to the acquired first operating data of the multi-energy complementary energy base; The processing unit determines preset constraints of the first operating cost data and the second operating cost data; The processing unit determines a first preset parameter of the first operating cost data and a second preset parameter of the second operating cost data; The processing unit determines the first output data of the first subsystem and the first output data of the second subsystem according to the first operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter; The processing unit determines the second output data of the first subsystem and the second output data of the second subsystem according to the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter; The processing unit determines the third output data of the first subsystem and the third output data of the second subsystem according to the first operating cost data, the second operating cost data, the preset constraint condition, the first preset parameter and the second preset parameter.

12. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining control parameters of a multi-energy complementary energy base as described in any one of claims 1 to 10 is implemented.

13. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the control parameters of a multi-energy complementary energy base as described in any one of claims 1-10.

14. A computer program product, characterized in that It includes a computer program stored on a computer-readable storage medium, wherein the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the method for determining the control parameters of a multi-energy complementary energy base as described in any one of claims 1 to 10.

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