A new energy output optimization method and device for the whole power generation process
By constructing a theoretical, usable, and actual power output model for the entire process of new energy power generation, and combining it with a deep neural network decision-making algorithm, the actual power output strategy of new energy is optimized, which solves the problem of incomplete consideration of new energy consumption factors, improves the level of new energy consumption, and reduces the phenomenon of power curtailment.
Patent Information
- Application Number
- CN202411548313.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-12-12
- Estimated Expiration
- 2044-11-01
AI Technical Summary
Existing technologies have failed to fully consider various factors that limit the absorption of wind and solar power during the process of renewable energy generation, resulting in significant discrepancies between theoretical research results and actual results on renewable energy absorption, and frequent occurrences of power curtailment.
We construct theoretical, usable, and actual power output models for the entire process of new energy power generation, combine them with deep neural network decision-making algorithms, optimize the actual power output strategy of new energy, comprehensively consider the factors of new energy consumption, and obtain the optimal power output strategy by solving the optimization model of actual power output of new energy.
This has improved the level of renewable energy consumption, reduced the phenomenon of power curtailment, and achieved efficient optimization and consumption of renewable energy.
Smart Images
Figure CN119628110B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of new energy technology, in particular to a new energy output optimization method and device for the whole power generation process. BACKGROUND
[0002] With the rapid growth of large-scale photovoltaic, wind power and other new energy installed capacity, high proportion of new energy grid connection aggravates the operation complexity of power system, and its inherent volatility and intermittent characteristics pose a serious challenge to maintaining real-time balance of power supply and demand. At present, the installed capacity of new energy has exceeded the limit of system consumption, resulting in frequent new energy curtailment and serious waste of wind and light resources. In view of this, in order to effectively alleviate the problem of new energy curtailment, it is necessary to optimize the output of photovoltaic and wind power for the purpose of new energy consumption.
[0003] At present, the common research method of new energy consumption capacity mainly involves typical day method, random production simulation method and time sequence production simulation method. However, the current mainstream method does not fully consider various factors that limit the wind and light consumption level in the new energy power generation process, resulting in a large difference between the theoretical research results and the actual results of new energy consumption. In view of this, how to combine the whole process of new energy power generation from resources to electric energy, and research the new energy output optimization oriented to promote new energy consumption, is the current problem to be solved. SUMMARY
[0004] The technical problem to be solved by the present application is to overcome the shortcomings of the prior art and provide a new energy output optimization method and device for the whole power generation process. The proposed method fully considers various factors that limit the wind and light consumption level in the new energy power generation process, and has strong practical guiding significance for further improving the new energy consumption level.
[0005] The present application adopts the following technical solutions to solve the above technical problems:
[0006] In the first aspect, according to the new energy output optimization method for the whole power generation process proposed by the present application, comprising:
[0007] For the whole process of new energy power generation, new energy includes wind farm and photovoltaic, and new energy theoretical output model, available output model and actual output model are constructed respectively;
[0008] Based on the whole process output of new energy theoretical output model, available output model and actual output model, a new energy actual output optimization model is constructed for the purpose of new energy consumption;
[0009] The optimal output strategy of wind power and photovoltaic is obtained by solving the optimal solution of the new energy actual output optimization model.
[0010] As a further optimization scheme of the new energy output optimization method for the whole power generation process, the theoretical output power model of new energy is calculated in the following manner, and the theoretical output power model of new energy includes the theoretical output power of photovoltaic output and the theoretical output power of wind power generation, wherein,
[0011] The theoretical output power of photovoltaic output is represented as
[0012]
[0013] Wherein, P PV is the actual output of the photovoltaic output device; P PV,N is the rated output of the photovoltaic output device; G N is the standard solar radiation intensity; a pv is the power temperature coefficient of the photovoltaic output device; T C is the temperature of the photovoltaic output device; T STC is the battery temperature under standard test conditions; G is the actual solar radiation intensity, subject to Beta distribution, and T0 is the ambient temperature.
[0014] The theoretical output power of wind power generation is represented as
[0015]
[0016] Wherein, v N is the rated wind speed; v in and v out are the cut-in wind speed and the cut-out wind speed, respectively; P WT,N and P WT are the rated power and the output power, respectively, and v is the wind speed, subject to Weibull distribution.
[0017] As a further optimization scheme of the new energy output optimization method for the whole power generation process, the available output model of new energy is calculated in the following manner, and the available output model of new energy includes the available output model of wind farm and the available output model of photovoltaic power station, wherein,
[0018] The available output model of wind farm is
[0019]
[0020] Wherein, is the available output of the wind farm, P WT,x is the available output of the xth wind turbine of the wind farm, X is the total number of wind turbines of the wind farm, is the blocked output of the wind farm.
[0021]
[0022] Wherein, X1, X2, X3 are respectively the number of planned maintenance, unplanned outage, accompanying stop units in the wind farm;
[0023] Available output model of photovoltaic power station
[0024]
[0025] Wherein, Y is the total number of photovoltaic components in the photovoltaic power station, is the blocked output of the photovoltaic power station, is the available output of the photovoltaic power station, P PV,y is the available output of the yth photovoltaic component of the photovoltaic power station.
[0026]
[0027] Wherein, Y1, Y2, Y3 are respectively the number of planned maintenance, unplanned outage, accompanying stop photovoltaic components in the photovoltaic power station.
[0028] As a further optimization scheme of the new energy output optimization method for the whole power generation process, the actual output model of new energy is calculated in the following manner, specifically as follows:
[0029] The actual output model of new energy is represented as
[0030]
[0031] Wherein, are respectively the actual output of the wind farm and the photovoltaic power station.
[0032] As a further optimization scheme of the new energy output optimization method for the whole power generation process, the actual output optimization model of new energy includes:
[0033] From the perspective of time sequence production simulation, the maximum new energy output in the running time is taken as the optimization objective to construct the output optimization model, that is,
[0034]
[0035] Wherein, T is the total running time of time sequence production simulation, are respectively the actual output of the nth photovoltaic power station and the mth wind farm, F is the maximum new energy output in the running time, t is the running period, N is the number of photovoltaic power stations, and M is the number of wind farms.
[0036] As a further optimization scheme of the new energy output optimization method for the whole power generation process, the constraint conditions of the actual output optimization model of new energy include power balance constraint, spinning reserve constraint, unit climbing constraint, new energy field station output constraint, node power flow constraint, N-1 safety constraint of node voltage, and N-1 safety constraint of line transmission power; wherein,
[0037] Power balance constraint
[0038]
[0039] where O is the number of thermal generating units in the power system; P TH,o (t) is the active power output of the oth thermal generating unit at time t; P L (t) is the total load of the system at time t;
[0040] Spinning reserve constraint
[0041]
[0042] where, Pmax,o is the active power output upper limit of the oth thermal generating unit; P re S is the positive spinning reserve of the power system; o (t) is a binary variable representing the operating state of the oth thermal generating unit at time t, S o (t) equals 1 indicates that the oth thermal generating unit is in operation at time t, S o (t) equals 0 indicates that the oth thermal generating unit is in shutdown state at time t;
[0043] Unit ramp constraint
[0044]
[0045] where, P TH,o (t-1) is the active power output of the oth thermal generating unit at time t-1, ΔUP TH,o and ΔDP TH,o are the maximum upward and downward ramping power of the oth thermal generating unit, respectively;
[0046] New energy station output constraint
[0047]
[0048] where, Pn(t) and Pm(t) represent the available output of the nth photovoltaic power station and the mth wind farm at time t, respectively;
[0049] Node power flow constraint
[0050]
[0051] where, P TH,i (t), and P L,i (t) are the active power of thermal, photovoltaic, wind and load of the ith node at the tth time, respectively; Q TH,i (t), and Q L,i (t) are the reactive power of the i-th node at the t-th time of thermal power, photovoltaic, wind power and load, respectively; G ij , B ij and δ ij (t) are the conductance, reactance and phase angle between the i-th node and the j-th node, respectively, N ND is the total number of system nodes, U i (t) is the voltage amplitude of the i-th node at t time, U j (t) is the voltage amplitude of the j-th node at t time;
[0052] N-1 safety constraints of node voltage
[0053]
[0054] wherein, U i,min and U i,max are the lower and upper limits of the voltage of the i-th node, respectively; and are the voltage amplitudes of the i-th node under the base state and the d-th N-1 fault event, respectively; N FT is the number of N-1 faults of the power system, and Z is the number of nodes of the power system;
[0055] N-1 safety constraints of line transmission power
[0056]
[0057] wherein, P L,l (t) and P L,l,max are the active power and the maximum transmission power of the l-th line, respectively; and are the active power of the l-th line under the base state and the d-th N-1 fault event, respectively; N L is the number of branches of the power system, and G ii is the self-conductance of the i-th node.
[0058] As a further optimization scheme of the new energy output optimization method facing the whole power generation process, the optimal output strategy of wind power and photovoltaic is obtained by solving the optimal solution of the new energy actual output optimization model; the specific process is as follows:
[0059] The key time section power flow constraint selection method is adopted, and the new energy actual output optimization model is solved by combining the deep neural network decision algorithm, so as to obtain the optimal output strategy of wind power and photovoltaic.
[0060] In the second aspect, a new energy output optimization device facing the whole power generation process comprises a construction module, an optimization module and a calculation module; wherein,
[0061] A construction module is configured to construct a new energy theoretical output model, an available output model and an actual output model for a whole new energy power generation process, the new energy including a wind power plant and a photovoltaic power plant;
[0062] An optimization module is configured to construct a new energy actual output optimization model with a new energy consumption target based on the whole new energy power generation process output of the new energy theoretical output model, the available output model and the actual output model;
[0063] A calculation module is configured to obtain a wind power and photovoltaic optimal output strategy by solving an optimal solution of the new energy actual output optimization model.
[0064] In a third aspect, an embodiment of the present application further provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements steps of the new energy output optimization method for a whole power generation process when executing the computer program.
[0065] In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program implements steps of the new energy output optimization method for a whole power generation process when being executed by a processor.
[0066] Compared with the prior art, the technical scheme has the following technical effects:
[0067] The present application firstly constructs a new energy theoretical output model, an available output model and an actual output model for a whole new energy (wind power and photovoltaic) power generation process, then constructs a new energy actual output optimization model with a new energy consumption target, and finally solves an optimal solution of the new energy actual output optimization model to obtain a wind power and photovoltaic optimal output strategy. BRIEF DESCRIPTION OF DRAWINGS
[0068] Figure 1 is a flow chart of the new energy output optimization method for a whole power generation process in the present application;
[0069] Figure 2 is a new energy output consumption result under different total time of a time sequence production simulation run in the present application;
[0070] Figure 3 is a new energy consumption rate result under different total time of a time sequence production simulation run in the present application;
[0071] Figure 4 is the energy output consumption result under different voltage amplitude upper limits in the application. DETAILED DESCRIPTION
[0072] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be described in detail below with reference to the drawings and specific embodiments.
[0073] In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present application, but the present application can also be implemented in other ways different from the description, and those skilled in the art can make similar generalizations without departing from the concept of the present application, so the present application is not limited to the specific embodiments disclosed below.
[0074] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an independent or alternative embodiment that excludes other embodiments.
[0075] Reference Figures 1-4 For the embodiments of the present application, the embodiments provide a new energy output optimization method for the whole process of power generation, comprising,
[0076] S101: For the whole process of new energy (wind power, photovoltaic) power generation, a new energy theoretical output model, an available output model and an actual output model are respectively constructed, comprising:
[0077] The new energy theoretical output model is calculated in the following manner, and the new energy theoretical output model includes the theoretical output power of photovoltaic output and the theoretical output power of wind power generation, wherein,
[0078] The photovoltaic output is mainly affected by solar irradiance and temperature, and the theoretical output power of photovoltaic output is expressed as
[0079]
[0080] Wherein, P PV is the actual output of the photovoltaic output device; P PV,N is the rated output of the photovoltaic output device; G N is the standard solar irradiance; a pv is the power temperature coefficient of the photovoltaic output device; T C is the temperature of the photovoltaic output device; T STC is the battery temperature under standard test conditions; G is the actual solar irradiance, which obeys Beta distribution, and T0 is the ambient temperature;
[0081] The theoretical output power of wind power generation is expressed as
[0082]
[0083] wherein v N is the rated wind speed; v in and v out are the cut-in and cut-out wind speeds, respectively; P WT,N and P WT are the rated and output power, respectively, and v is the wind speed, subject to a Weibull distribution.
[0084] The new energy available output model is calculated in the following manner, and includes a wind farm available output model and a photovoltaic power station available output model, wherein,
[0085] The wind farm available output model
[0086]
[0087] wherein P WT,x is the wind farm available output, P is the xth wind turbine available output of the wind farm, and X is the total number of wind turbines in the wind farm, is the wind farm blocked output;
[0088]
[0089] wherein X1, X2, and X3 are the number of planned maintenance, unplanned outage, and accompanying stopped units in the wind farm, respectively;
[0090] The photovoltaic power station available output model
[0091]
[0092] wherein Y is the total number of photovoltaic components in the photovoltaic power station, is the photovoltaic power station blocked output, is the photovoltaic power station available output, P PV,y is the yth photovoltaic component available output of the photovoltaic power station;
[0093]
[0094] wherein Y1, Y2, and Y3 are the number of planned maintenance, unplanned outage, and accompanying stopped photovoltaic components in the photovoltaic power station, respectively.
[0095] The new energy actual output model is represented as
[0096]
[0097] wherein P are the wind farm and photovoltaic power station actual outputs, respectively.
[0098] S102: Based on the new energy theory output model, the available output model and the actual output model of the whole process of power generation, a new energy actual output optimization model is constructed, including:
[0099] The new energy actual output optimization model includes:
[0100] From the perspective of time sequence production simulation, the maximum new energy output in the running time is taken as the optimization objective to construct the output optimization model, that is,
[0101]
[0102] Wherein, T is the total running time of time sequence production simulation, are the actual output of the nth photovoltaic power station and the mth wind farm, F is the maximum new energy output in the running time, t is the running period, N is the number of photovoltaic power stations, and M is the number of wind farms.
[0103] The constraint conditions of the new energy actual output optimization model include power balance constraint, spinning reserve constraint, unit climbing constraint, new energy field station output constraint, node power flow constraint, N-1 safety constraint of node voltage and N-1 safety constraint of line transmission power; wherein,
[0104] Power balance constraint
[0105]
[0106] Wherein, O is the number of thermal power units in the power system; P TH,o (t) is the active power output of the oth thermal power unit at time t; P L (t) is the total load of the system at time t;
[0107] Spinning reserve constraint
[0108]
[0109] Wherein, is the upper limit of the active power output of the oth thermal power unit; P re is the positive spinning reserve of the power system; S o (t) is a binary variable representing the running state of the oth thermal power unit at time t, S o (t) is equal to 1, indicating that the oth thermal power unit is in running state at time t, S o (t) is equal to 0, indicating that the oth thermal power unit is in shutdown state at time t;
[0110] Unit climbing constraint
[0111]
[0112] where P TH,o (t-1) is the active power output of the oth thermal power unit at time t-1, ΔUP TH,o and ΔDP TH,o are the maximum upward and downward ramping power of the oth thermal power unit, respectively;
[0113] New energy station power output constraint
[0114]
[0115] where P and P are the available power output of the nth photovoltaic power station and the mth wind farm at time t, respectively;
[0116] Node power flow constraint
[0117]
[0118] where P TH,i (t) is the active power of the ith node at the tth time, P L,i (t) is the active power of the ith node at the tth time, P TH,i (t) is the active power of the ith node at the tth time, P L,i (t) is the active power of the ith node at the tth time, G ij , B ij and δ ij (t) are the conductance, reactance and phase angle between the ith node and the jth node, N ND is the total number of system nodes, U i (t) is the voltage amplitude of the ith node at time t, U j (t) is the voltage amplitude of the jth node at time t; N-1 safety constraint of node voltage
[0119]
[0120] where U i,min and U i,max are the lower and upper limits of the voltage of the ith node; and
[0121] are the voltage amplitudes of the ith node under the base state and the dth N-1 fault event, respectively; N FT is the number of N-1 faults of the power system, and Z is the number of nodes of the power system; N-1 safety constraint of line transmission power
[0122]
[0123]
[0124] where P L,l (t) and P L,l,max are the active power and the maximum transmission power of the lth line, respectively; and are the active power of the lth line under the base state and the dth N-1 fault event, respectively; N L is the number of branches of the power system, G ii is the self-conductance of the ith node.
[0125] S103: An optimal solution of the new energy actual output optimization model is solved to obtain the optimal output strategy of wind power and photovoltaic power, including that the new energy actual output optimization model is solved by using a key time section power flow constraint selection method and combining a deep neural network decision algorithm, and then the optimal output strategy of wind power and photovoltaic power is obtained.
[0126] The embodiment of the present application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the steps of the new energy output optimization method facing the whole process of power generation when executing the computer program.
[0127] The embodiment of the present application also provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program implements the steps of the new energy output optimization method facing the whole process of power generation when executed by a processor.
[0128] In summary, the present scheme constructs a theoretical, available and actual output model facing the whole process of new energy (wind power and photovoltaic power) generation, then constructs a new energy actual output optimization model with new energy consumption as a target, and obtains the optimal output strategy of wind power and photovoltaic power by solving the optimal solution of the new energy actual output optimization model, so that the reason of new energy power abandonment in the whole process of "from resources to electric energy" can be mastered, and the optimal output strategy of new energy is given. The method has strong practical guiding significance for further improving the new energy consumption level by comprehensively considering various factors limiting the wind and light consumption level in the new energy generation process.
[0129] Those skilled in the art will appreciate that embodiments of the present application can be readily used as software, hardware, or a combination of software and hardware. In a software embodiment, the methods can be tangibly embodied in a machine-readable storage medium having stored thereon instructions that can be used to program a computer to perform any of the methods. The software implementation can be initialized by loading and executing a set of instructions arranged to perform one of the methods into the computer's memory. Alternatively, hard-wired circuitry can be used in place of, or in combination with, software instructions. Thus, the
[0130] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams. Figure 1 means for performing each of the functions specified in the flowchart illustrations and / or block diagrams.
[0131] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams. Figure 1 means for performing each of the functions specified in the flowchart illustrations and / or block diagrams.
[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in one or more of the flowchart illustrations and / or block diagrams. Figure 1 means for performing each of the functions specified in the flowchart illustrations and / or block diagrams.
[0133] While preferred embodiments of the application have been described, modifications and variations can be apparent to those skilled in the art once aware of the general underlying concepts. Accordingly, the appended claims are intended to embrace all such modifications and variations as fall within the scope of the application.
[0134] It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application cover modifications and variations of this application provided they come within the scope of the appended claims and their equivalents.
Claims
1. A new energy output optimization method for a whole power generation process, characterized in that, The method comprises the following steps: Aiming at the whole process of new energy power generation, the new energy includes wind farms and photovoltaic, a new energy theoretical output model, an available output model and an actual output model are respectively constructed; Based on the new energy theoretical output model, the available output model and the actual output model of the whole process of power generation, a new energy actual output optimization model is constructed with the target of new energy consumption; The optimal output strategy of wind power and photovoltaic is obtained by solving the optimal solution of the new energy actual output optimization model; The new energy theoretical output model is calculated in the following manner, the new energy theoretical output model includes the theoretical output power of photovoltaic output and the theoretical output power of wind power generation, wherein, The theoretical output power of photovoltaic output is represented as where P PV is the actual power output of the photovoltaic power plant; P PV,N is the rated power output of the photovoltaic power plant; G N is the standard solar irradiance; a pv is the power temperature coefficient of the photovoltaic power plant; T C is the temperature of the photovoltaic power plant; T STC is the cell temperature under standard test conditions; G is the actual solar irradiance, subject to a Beta distribution, and T0 is the ambient temperature; The theoretical output power of wind power generation is represented as wherein v N is the rated wind speed; v in and v out are the cut-in and cut-out wind speeds, respectively; P WT,N and P WT are the rated and output power, respectively, and v is the wind speed, subject to a Weibull distribution; The new energy actual output optimization model includes: From the perspective of time sequence production simulation, an output optimization model is constructed with the optimization target of maximum new energy output within the running time, that is Wherein, T is the total running time of the time series production simulation, The actual output of the nth photovoltaic power station and the mth wind farm, respectively, F is the maximum new energy output within the running time, t is the running period, N is the number of photovoltaic power stations, and M is the number of wind farms. The optimal output strategy of wind power and photovoltaic is obtained by solving the optimal solution of the new energy actual output optimization model; specifically as follows: The new energy actual output optimization model is solved by adopting the key time section power flow constraint selection method combined with the deep neural network decision algorithm, and then the optimal output strategy of wind power and photovoltaic is obtained.
2. The new energy output optimization method for the whole power generation process according to claim 1, characterized in that, The new energy available output model is calculated in the following manner, the new energy available output model includes the available output model of wind farms and the available output model of photovoltaic power stations, wherein, The available output model of wind farms wherein, P is the available power of the wind farm, WT,x P is the available power of the xth wind turbine of the wind farm, X is the total number of wind turbines of the wind farm, P is the blocked power of the wind farm; Wherein, X1, X2 and X3 are respectively the number of planned maintenance, unplanned outage and accompanying shutdown units in the wind farm; The available output model of photovoltaic power stations Wherein, Y is the total number of photovoltaic components in the photovoltaic power station, is the blocked output of the photovoltaic power station, is the available output of the photovoltaic power station, PV,y is the available output of the yth photovoltaic component of the photovoltaic power station; Wherein, Y1, Y2 and Y3 are respectively the number of planned maintenance, unplanned outage and accompanying shutdown photovoltaic components in the photovoltaic power station.
3. The new energy output optimization method for the whole power generation process according to claim 2, characterized in that, The new energy actual output model is calculated in the following manner, specifically as follows: The new energy actual output model is represented as wherein, are the actual output of the wind farm and the photovoltaic power station, respectively.
4. The new energy output optimization method for the whole power generation process according to claim 1, characterized in that, The constraint conditions of the new energy actual output optimization model include power balance constraint, spinning reserve constraint, unit climbing constraint, new energy field station output constraint, node power flow constraint, N-1 safety constraint of node voltage and N-1 safety constraint of line transmission power; wherein, The power balance constraint where O is the number of thermal power units in the power system; P TH,o (t) is the active power output of the oth thermal power unit at time t; P L P(t) is the total load of the system at time t; The spinning reserve constraint wherein, Pmax,o is the active power upper limit of the oth thermal power unit; P re S is the positive spinning reserve of the power system; o (t) is a binary variable representing the operating state of the oth thermal power unit at time t, S o (t) is equal to 1 when the oth thermal power unit is in an operating state at time t, S o (t) is equal to 0 when the oth thermal power unit is in a shutdown state at time t; The unit climbing constraint P TH,o (t-1) is the active power output of the oth thermal power unit at time t-1, ΔUP TH,o and ΔDP TH,o are the maximum upward and downward ramping power of the oth thermal power unit, respectively. The new energy field station output constraint wherein, respectively represent the available output of the nth photovoltaic power plant and the mth wind farm at time t. The node power flow constraint Among them, P TH,i (t), and P L,i (t) represents the active power of thermal power, photovoltaic power, wind power, and load at the i-th node at time t; Q TH,i (t), and Q L,i (t) represents the reactive power of thermal power, photovoltaic power, wind power, and load at the i-th node at time t; G ij B ij and δ ij (t) represents the conductance, reactance, and phase angle between the i-th node and the j-th node, respectively, N. ND U represents the total number of system nodes. i (t) represents the voltage magnitude of the i-th node at time t, U j (t) represents the voltage amplitude of the j-th node at time t; The N-1 safety constraint of node voltage where U i,min and U i,max are the lower and upper voltage limits of the ith node, respectively; and are the voltage amplitude of the ith node in the base case and the dth N-1 contingency, respectively; N FT is the number of N-1 contingencies of the power system, and Z is the number of nodes of the power system. The N-1 safety constraint of line transmission power where P L,l (t) and P L,l,max are the active power and the maximum transmission power of the lth line, respectively; and are the active power of the lth line at the base state and the dth N-1 contingency, respectively; N L is the number of branches of the power system, and G ii is the self-conductance of the ith node.
5. The device for the new energy output optimization method based on the whole power generation process according to claim 1, characterized in that, The method comprises a construction module, an optimization module and a calculation module; wherein, The construction module is used for aiming at the whole process of new energy power generation, the new energy includes wind farms and photovoltaic, a new energy theoretical output model, an available output model and an actual output model are respectively constructed; The optimization module is used for constructing a new energy actual output optimization model with the target of new energy consumption based on the new energy theoretical output model, the available output model and the actual output model of the whole process of power generation; The calculation module is used for obtaining the optimal output strategy of wind power and photovoltaic by solving the optimal solution of the new energy actual output optimization model. 6.A computer device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the computer device is characterized in that, The processor executes the computer program to realize the steps of the new energy output optimization method for the whole process of power generation according to any one of claims 1 to 4.
7. A computer-readable storage medium storing a computer program, wherein the computer program comprises the following steps of: The computer program is executed by the processor to realize the steps of the new energy output optimization method for the whole process of power generation according to any one of claims 1 to 4.
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