CN118100328A - Active power distribution method and system for offshore wind power cluster - Google Patents
Active power distribution method and system for offshore wind power cluster Download PDFInfo
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Abstract
The invention provides an active power distribution method and system of an offshore wind power cluster, which relate to the technical field of data processing, and the method comprises the following steps: determining an active power distribution scheme of each offshore wind farm on the same day with the aim of minimizing the total power generation cost and maximizing the wind power generation; in the current control period, for each offshore wind farm, calculating the lifting power capacity of each offshore wind power plant according to the wind speed and wind direction at the offshore wind power plant and the current wind power of the offshore wind power plant; matching the lifting power capacity of each offshore wind power device with the wind power predicted power change trend, and determining whether each offshore wind power device needs to be regulated and controlled in the current control period; and determining an active power distribution scheme of each offshore wind power equipment to be regulated and controlled in the current control period by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target. The wind power cluster active power distribution system can adapt to the change of wind speed and wind direction in time, and improves the active power distribution effect of the wind power cluster.
Description
Technical Field
The invention relates to the technical field of electric energy storage systems, in particular to an active power distribution method and system of an offshore wind power cluster.
Background
Wind energy is used as a renewable energy source with no pollution and rich reserves, and shows strong competitiveness in new energy development, and the wind power generation technology which is mature day by day enables wind power generation to develop rapidly at home and abroad. The active power distribution technology is an important ring in the wind power generation technology, and by reasonably distributing the power generated by each fan, the running efficiency of the wind power plant is optimized, the running cost is reduced, and the stability of a power grid is improved.
In the prior art, a plurality of mature active power distribution technologies, such as a fan power curve adjustment method, a fan speed regulation control method, a fan coordination adjustment method and the like, are available, however, as wind energy resources are developed and expanded to the ocean, the wind speed and wind direction are changed in an objective environment which is influenced by factors such as sea surface friction, turbulence effect and the like in the ocean environment, the existing active power distribution technologies are difficult to adapt to the change of the wind speed and the wind direction, so that the wind power cluster active power distribution effect is poor, the operation efficiency is low, the operation cost is high, and the stability of a power grid is poor in the ocean environment.
Disclosure of Invention
The invention provides an active power distribution method and system for an offshore wind power cluster, which aims to solve the technical problems that in the prior art, the active power distribution effect of the wind power cluster is poor, the operation efficiency is low, the operation cost is high and the stability of a power grid is poor due to the fact that the existing active power distribution technology is difficult to adapt to the change of wind speed and wind direction in the objective environment with changeable wind speed and wind direction due to the influence of factors such as sea surface friction and turbulence effect in the marine environment.
The technical scheme provided by the embodiment of the invention is as follows:
A first aspect of the invention provides a method of active power distribution for an offshore wind farm, the offshore wind farm comprising a plurality of offshore wind farms, each offshore wind farm comprising a plurality of offshore wind power plants, an offshore wind farm comprising a plurality of offshore wind turbines
The active power distribution method of the electric cluster comprises the following steps:
S1: determining an active power distribution scheme of each offshore wind farm on the same day with the aim of minimizing the total power generation cost and maximizing the wind power generation;
S2: in the current control period, for each offshore wind farm, calculating the lifting power capacity of each offshore wind power plant according to the wind speed and wind direction at the offshore wind power plant and the current wind power of the offshore wind power plant;
S3: matching the lifting power capacity of each offshore wind power device with the wind power predicted power change trend, and determining whether each offshore wind power device needs to be regulated and controlled in the current control period;
s4: and determining an active power distribution scheme of each offshore wind power equipment to be regulated and controlled in the current control period by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target.
A second aspect of the present invention provides an active power distribution system for an offshore wind farm, comprising:
A processor;
And a memory having stored thereon computer readable instructions which, when executed by the processor, implement the active power distribution method of the offshore wind farm according to the first aspect.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) In the invention, in the face of objective environments with changeable wind speed and wind direction in a marine environment, under each control period, the lifting power capacity of the offshore wind power equipment in the current control period is determined in real time according to the wind speed and wind direction of the offshore wind power equipment and the current wind power of the offshore wind power equipment, so that whether regulation and control are needed in the current control period is determined, the change of the wind speed and the wind direction can be adapted in time in each control period, the distribution of active power is further completed, the active power distribution effect of a wind power cluster is improved, the running efficiency of the wind power equipment is improved, the running cost is reduced, and the stability of a power grid is improved.
(2) In the invention, the offshore wind power cluster is divided into a plurality of offshore wind power plants, the primary distribution is carried out with the aim of minimizing the total power generation cost and maximizing the wind power generation, and the active power distribution scheme of each wind power plant is determined, so that the whole offshore wind power cluster can be optimized in the aspects of economic benefit and energy utilization. And then, secondary distribution is carried out by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target, and the active power distribution scheme of each wind power device in each wind power plant is determined, so that the running stability and the prediction accuracy of the wind power plant can be improved, the running efficiency of the wind power devices is further improved, and the stability of a power grid is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an active power distribution method of an offshore wind power cluster according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an offshore wind farm according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an active power distribution system of an offshore wind power cluster according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is described below with reference to the accompanying drawings.
In embodiments of the invention, words such as "exemplary," "such as" and the like are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the term use of an example is intended to present concepts in a concrete fashion. Furthermore, in embodiments of the present invention, the meaning of "and/or" may be that of both, or may be that of either, optionally one of both.
In the embodiments of the present invention, "image" and "picture" may be sometimes used in combination, and it should be noted that the meaning of the expression is consistent when the distinction is not emphasized. "of", "corresponding (corresponding, relevant)" and "corresponding (corresponding)" are sometimes used in combination, and it should be noted that the meaning of the expression is consistent when the distinction is not emphasized.
In the embodiment of the invention, subscripts such asMay be misidentified as a non-subscripted form such as W1, the meaning it is intended to express being consistent when de-emphasizing the distinction.
In order to make the technical problems, technical solutions and advantages to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1 of the specification, a flow diagram of an active power distribution method of an offshore wind power cluster according to an embodiment of the present invention is shown.
The embodiment of the invention provides an active power distribution method of an offshore wind power cluster, which can be realized by active power distribution equipment of the offshore wind power cluster, wherein the active power distribution equipment of the offshore wind power cluster can be a terminal or a server.
Referring to fig. 2 of the specification, a schematic structural diagram of an offshore wind power cluster according to an embodiment of the invention is shown.
The offshore wind farm comprises a plurality of offshore wind farms, each offshore wind farm comprising a plurality of offshore wind devices. The offshore wind power cluster is divided into a plurality of offshore wind power plants in a first stage. And then, carrying out secondary division on the offshore wind farm, and dividing the offshore wind farm into a plurality of offshore wind power equipment.
The processing flow of the active power distribution method of the offshore wind power cluster can comprise the following steps:
s1: and determining an active power distribution scheme of each offshore wind farm on the same day with the aim of minimizing the total power generation cost and maximizing the wind power generation.
By determining the active power distribution scheme of each offshore wind farm with the aim of minimizing the total power generation cost and maximizing the wind power generation, the method can reduce the power generation cost, improve the power generation efficiency, and improve the multiple benefits brought by the aspects of grid stability, energy conservation, emission reduction, schedulability and the like. The optimization scheme can optimize the offshore wind farm in the aspects of economic benefit and energy utilization, and is an important means for improving the overall operation efficiency and the sustainability of the offshore wind farm.
In one possible embodiment, S1 specifically includes substeps S101 to S103:
s101: and constructing a current day scheduling objective function with the aim of minimizing the total power generation cost and maximizing the wind power generation.
Optionally, the current day scheduling objective function is specifically:
wherein/> Represents the scheduling objective function of the day, max represents the maximum value,/>Weight coefficient representing wind power generation term,/>Weight coefficient representing power generation cost term,/>Representing the conventional power generation cost,/>Representing the output power at time t of the ith offshore wind farm,/>Representing the wind abandon punishment cost,/>Output power of wind power cluster at time t is expressed by/>Representing a first scheduling period, t representing time.
Wherein, the person skilled in the art can set the weight coefficient of the wind power generation item according to the actual situationThe size of (3) is not limited in the present invention.
The method aims at minimizing the total power generation cost, so that the operation cost of the wind power plant can be effectively reduced, and the economy is improved. Meanwhile, the purpose of maximizing wind power generation is achieved, wind energy resources can be fully utilized, and the utilization rate of renewable energy sources is improved.
Further, by introducing the wind abandoning punishment cost, the wind abandoning phenomenon can be reduced as much as possible, and the utilization rate and the economy of the wind power plant are improved.
Wherein, output power Pt of wind power cluster at time tThe method comprises the following steps:
wherein/> ，/>Representing the total number of offshore wind farms.
Alternatively, the conventional power generation costs are specifically:
wherein/> Representing the conventional power generation cost,/>Representing the output power at time t of the ith offshore wind farm,/>Representing the power generation cost quadratic term coefficient of the ith offshore wind farm,/>One-time term coefficient representing power generation cost of ith offshore wind farm,/>And the coefficient of the power generation cost constant term of the ith offshore wind farm is represented.
It should be noted that, the power generation cost of each offshore wind farm may be different, so the introduction of the conventional power generation cost term may comprehensively consider the power generation cost difference of each wind farm, and the conventional cost function of different offshore wind farms has different quadratic term coefficients, primary term coefficients and constant term coefficients.
In the invention, the introduction of conventional power generation costs into the scheduling objective function can bring benefits in a plurality of aspects such as economy, market competition, wind abandonment punishment, stability, benefit optimization, environment and the like. By comprehensively considering the power generation cost characteristics of each wind power plant and dynamically adjusting the power generation power of the wind power plant, the benefit maximization and the economical optimization of the whole wind power plant system can be realized, and powerful support is provided for the development and sustainable development of clean energy.
The wind abandoning punishment cost is specifically as follows:
wherein/> Representing the wind abandon punishment cost,/>Output power of wind power cluster at time t is expressed by/>Output power predicted value of wind power cluster at t moment,/>Representing the cost factor of the waste wind.
The wind energy source is utilized to the maximum extent by exciting the wind power station, and the wind energy source is avoided. The wind disposal punishment cost promotes the wind farm to generate electricity more stably, avoids excessively relying on the traditional electricity generation mode, and reduces the waste of wind energy and energy.
In the invention, introducing the wind curtailment penalty cost into the scheduling objective function can bring benefits in a number of aspects, including reducing wind curtailment phenomena, improving wind farm operating efficiency, optimizing scheduling decisions, improving renewable energy utilization, promoting power market development, and improving economy and environmental benefits. This setting helps to achieve better balance and benefit in terms of economy, environmental protection and sustainable development of the wind farm.
S102: and setting a scheduling constraint condition of the current day.
Optionally, the scheduling constraint condition of the day specifically includes: system load balancing constraint, output power constraint, transmission line capacity constraint, power jump constraint and standby constraint.
The system load balancing constraint is specifically:
wherein/> The load at time t is indicated.
It should be noted that the system load balancing constraint ensures the balance between all power generation sources (including the wind farm) and loads in the system, namely, the total power generation of the wind farm plus the power generation of the whole wind farm is equal to the load demand of the system at the current moment. The system load balancing constraint has the advantages that the system can meet real-time power requirements, the power supply problem caused by unbalanced load is avoided, and the stable operation of the power grid is ensured.
The output power constraint is specifically:
wherein/> Represents the lower limit value of the generated power at the time t of the ith offshore wind farm,The upper limit value of the generated power at the time t of the ith offshore wind farm is represented.
It should be noted that the output power constraint defines the generated power range of each offshore wind farm at the current moment. The output power constraint ensures that the power generation power of the wind power plant is in a controllable range, avoids the safety risk caused by the power generation power exceeding the design range of the fan, and is beneficial to the running stability of the system.
The capacity constraint of the power transmission line is specifically as follows:
wherein/> Representing the minimum value of the capacity of the transmission line,/>Representing the maximum transmission line capacity.
It should be noted that, the capacity constraint of the power transmission line prescribes the maximum bearing capacity of the power transmission line, so that the wind power transmitted on the power transmission line is ensured not to exceed the capacity range. The capacity constraint of the power transmission line has the advantages of protecting the safe operation of the power transmission line, avoiding overload of the power transmission line, reducing power transmission loss and improving the efficiency and stability of a power grid.
The power abrupt change constraint is specifically:
wherein/> Represents the limiting drop coefficient of the ith offshore wind farm,/>Representing the limiting rise coefficient of the ith offshore wind farm.
It should be noted that the power jump constraint limits the jump rate of the generated power of the wind farm. The power mutation constraint is beneficial to smoothing the generation power change of the wind power plant, reducing the rapid fluctuation of the system, reducing the pressure and the instability of the power grid, and improving the reliability and the safety of the power grid.
The standby constraint is specifically:
wherein/> Representing the up-regulation reserve threshold,/>Indicating a down-regulation reserve threshold.
It should be noted that the standby constraint ensures that the system has a certain standby capability. The standby constraint has the advantages that the capability of the system for coping with sudden load fluctuation is improved, and the system is ensured to still stably operate when the load fluctuates severely or the wind speed changes suddenly. Meanwhile, flexibility is provided for the system, so that market trading and power market demand change can be better participated.
S103: under the constraint of the current day scheduling constraint condition, the current day active power distribution scheme is determined by taking the maximum function value of the current day scheduling objective function as the target, and the optimal output power of each current day offshore wind power plant is defined.
Specifically, ADMM (Alternating Direction Method of Multipliers) algorithm, genetic algorithm, simulated annealing algorithm, particle swarm optimization algorithm and the like can be adopted to carry out optimization solution, and the optimal output power of each offshore wind farm on the same day is obtained through calculation. The invention is not limited to the process of how to calculate the solution using the existing algorithm.
In the invention, the offshore wind power cluster is divided into a plurality of offshore wind power plants, the primary distribution is carried out with the aim of minimizing the total power generation cost and maximizing the wind power generation, and the active power distribution scheme of each wind power plant is determined, so that the whole offshore wind power cluster can be optimized in the aspects of economic benefit and energy utilization.
S2: in the current control period, for each offshore wind farm, calculating the lifting power capacity of each offshore wind farm according to the wind speed and wind direction at the offshore wind farm and the current wind power of the offshore wind farm.
It should be noted that, in the face of the objective environment with changeable wind speed and wind direction in the marine environment, under each control period, the lifting power capability of the offshore wind power equipment in the current control period is determined in real time according to the wind speed and wind direction of the offshore wind power equipment and the current wind power of the offshore wind power equipment, so as to determine whether regulation and control are needed in the current control period, and the change of the wind speed and wind direction can be timely adapted to each control period, so that the distribution of active power is completed, the active power distribution effect of a wind power cluster is improved, the running efficiency of the wind power equipment is improved, the running cost is reduced, and the stability of a power grid is improved.
In one possible embodiment, S2 specifically includes substeps S201 to S203:
s201: determining a standard wind speed at the offshore wind plant from the wind speed and the wind direction at the offshore wind plant:
wherein/> Representing standard wind speed,/>Representing the current wind speed,/>And the included angle between the current wind direction and the wind power equipment blade is represented.
The standard wind speed to which the blade is subjected is calculated from the relationship between the actual wind speed and the wind direction. By the formula, the influence of wind direction on wind speed can be more accurately considered, so that the power generation capacity of the wind power equipment can be better predicted.
S202: and determining the theoretical output power of the offshore risk equipment based on the power curve corresponding to the offshore wind power equipment according to the standard wind speed at the offshore wind power equipment.
It should be noted that, according to the current wind speed and wind direction and the power curve of the wind power equipment, the theoretical output power of each wind power equipment can be accurately calculated. This allows a more accurate knowledge of the maximum possible power generation capacity of each device in the current environment.
S203: according to the current wind power and the theoretical output power of the offshore wind power equipment, calculating the lifting power capacity of each offshore wind power equipment:
Where s represents the power up-down capability,/> Representing theoretical output power,/>Representing the actual output power, will be when/>When s represents the power boost capability, when/>S denotes the power down capability.
When the calculated lifting power capability s is a positive number, it is indicated that the wind power equipment has the capability of lifting power to the theoretical output power. The capacity can enable the system to more fully utilize wind energy when the wind speed increases, and the power generation efficiency is improved. Conversely, when s is a negative number, it means that the wind power plant has the ability to reduce power to the actual output power. The capacity can protect wind power equipment from overload operation, reduce equipment loss and prolong equipment life.
According to the invention, by calculating the lifting power capability of the offshore wind power equipment, the accurate control of the power of the wind power equipment can be realized, the wind energy resource is utilized to the maximum extent, the stability and the flexibility of the system are ensured, the wind power loss and the wind abandoning condition are reduced, and the economy and the benefit of the wind power plant are improved.
S3: and matching the lifting power capacity of each offshore wind power device with the wind power predicted power change trend, and determining whether each offshore wind power device needs to be regulated and controlled in the current control period.
Specifically, a machine learning algorithm, a neural network algorithm and the like can be adopted to match the power lifting capacity of each offshore wind power equipment with the wind power predicted power change trend.
It is to be noted that whether regulation and control are needed in the current control period is determined according to the lifting power capability, and the change of wind speed and wind direction can be adapted in time in each control period, so that the distribution of active power is completed, the active power distribution effect of the wind power cluster is improved, the running efficiency of wind power equipment is improved, the running cost is reduced, and the stability of a power grid is improved. Further, the lifting power capacity of each offshore wind power equipment is matched with the wind power prediction power change trend, so that the output power of the wind power plant can be flexibly and stably regulated in the current control period, wind energy resources are utilized to the maximum extent, and the economy, reliability and environmental protection of the system are improved.
In one possible implementation, S3 specifically includes substeps S301 to S302:
s301: in the current control period, counting wind power prediction power variation according to a preset time interval:
wherein/> Represents the k wind power predictive power change quantity,/>Wind power predicted power representing k+1st statistical point,/>And the wind power predicted power of the kth statistical point is represented.
S302: calculating power variation trend parameters according to the counted wind power forecast power variation: wherein/> Representing the power change trend parameter,/>The value range of (2) is/>，/>Representing a sign function, when/>When positive, the number is/>When/>When negative,/> K represents the total number of wind power prediction power variation.
It is to be noted that it is determined whether the wind power predicted power tends to rise, remain stable, or fall. When (when)If yes, the wind power prediction power is indicated to be in an overall rising trend; when/>Zero, indicating that the power remains substantially stable; when/>When negative, the predicted power decreases as a whole. This has instructive significance for the formulation of device scheduling and operation policies. Power trend parameter/>The calculation of the wind power generation system can provide important reference for the operation and regulation of the wind power plant, is beneficial to realizing intelligent regulation and control of wind power equipment, and improves the economy, stability and reliability of the wind power plant.
S303: normalizing the numerical value of the lifting power capacity of each offshore wind power equipment to be within an interval range.
The numerical value of the lifting power capacity of each offshore wind power plant is normalized toThe dimension and the value range between the interval range and the power variation trend parameter can be unified so as to facilitate subsequent matching.
S304: matching the power change trend parameter with the lifting power capacity of each offshore wind power device to obtain the matching degree of each offshore wind power device: wherein/> Representing the matching degree of the jth offshore wind power equipment,/>And the lifting power capacity of the j-th offshore wind power equipment after normalization treatment is shown.
It should be noted that, the power change trend parameter is matched with the lifting power capability of each offshore wind power equipment, and the obtained matching degree can bring various benefits of intelligent regulation and control, optimal power distribution, equipment protection, improvement of wind power plant efficiency, stable power grid power supply, intelligent operation and the like, thereby being beneficial to improving the operation efficiency, economy and reliability of the wind power plant.
S305: and determining the offshore wind power equipment with the matching degree larger than the preset matching degree as the offshore wind power equipment needing to be regulated and controlled in the current control period.
The size of the preset matching degree can be set by a person skilled in the art according to actual conditions, and the invention is not limited.
According to the invention, the power change trend parameter is matched with the power lifting capacity of the equipment, so that the wind power equipment suitable for the current wind energy resource can be more accurately selected. Therefore, wind energy resources can be utilized to the maximum extent, and the power generation efficiency is improved. The wind power equipment needing regulation and control is determined through the matching degree, the output power of each equipment can be balanced in the whole wind power plant, the condition that some equipment is overloaded and other equipment is idle is avoided, and the overall power generation efficiency of the wind power plant is improved. Through dynamic regulation and control of wind power equipment, the equipment can be operated in an optimal state, overload operation of the equipment is reduced, loss is reduced, and service life of the equipment is prolonged.
S4: and determining an active power distribution scheme of each offshore wind power equipment to be regulated and controlled in the current control period by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target.
The method is characterized in that the secondary distribution is carried out by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target, and the active power distribution scheme of each wind power device in each wind power plant is determined, so that the running stability and the prediction accuracy of the wind power plant can be improved, the running efficiency of the wind power devices is further improved, and the stability of a power grid is improved.
In one possible implementation, S4 specifically includes sub-steps S401 to S403:
S401: and constructing a power distribution objective function by taking the deviation minimization between the wind power predicted power and the wind power actual power as an objective.
Optionally, the power allocation objective function is specifically: Wherein, Represents a power allocation objective function, min represents a minimum value,/>Output power of j-th offshore wind power equipment at t moment,/>Output power predicted value of j-th offshore wind power equipment at t moment is expressed, and is/areRepresents a second scheduling period, t represents time,/>，/>Representing the total number of offshore wind power plants.
Wherein the second scheduling period is smaller than the first scheduling period and should even be much smaller than the first scheduling period.
The size of the second scheduling period can be set by a person skilled in the art according to practical situations, and the invention is not limited.
It should be noted that, by setting the power distribution objective function, the actual output power is close to the predicted power, which is helpful for improving the running stability of the wind farm. Reducing the prediction error means a more reliable wind power output, helping to smooth the power supply and reducing grid fluctuations.
S402: a power allocation constraint is set.
The power allocation constraint includes in particular: system load balancing constraint, output power constraint, transmission line capacity constraint, power jump constraint, standby constraint and lifting capacity constraint.
It should be noted that, a lifting capacity constraint is mainly added in the secondary distribution.
The system load balancing constraint is specifically: wherein/> The load at time t is indicated.
The output power constraint is specifically: wherein/> Representing the lower limit value of the power generation power of the j-th offshore wind power equipment at the moment t,/>And the upper limit value of the generated power of the jth offshore wind power equipment t moment is shown.
The capacity constraint of the power transmission line is specifically as follows:
wherein/> Representing the minimum value of the capacity of the transmission line,/>Representing the maximum transmission line capacity.
The power abrupt change constraint is specifically:
wherein/> Represents the limiting drop coefficient of the jth offshore wind plant,/>And the limit rising coefficient of the j-th offshore wind power equipment is represented.
The standby constraint is specifically: wherein/> Representing the up-regulation reserve threshold,/>Indicating a down-regulation reserve threshold.
For the meaning and benefits of system load balancing constraints, output power constraints, transmission line capacity constraints, power jump constraints, and backup constraints, reference may be made to the above class of allocation constraints.
The lifting capacity constraint is specifically as follows: wherein/> Representing the lifting power capability of the jth offshore wind plant,/>Representing a safety factor.
It should be noted that the lifting capacity constraint ensures that the deviation between the actual output power and the predicted power of the wind power equipment is within a certain range. The wind power equipment is ensured not to exceed the actual capacity range when the output power is regulated, so that the operation safety and stability of the wind power plant are ensured. The lifting capacity constraint has the advantages that the wind power equipment is ensured to run in a safe range, the safety and stable running of the equipment are guaranteed, the operation and maintenance cost is reduced, and the accuracy of wind power prediction and the efficiency of an intelligent regulation and control system are improved.
S403: under the constraint of a power distribution constraint condition, the active power distribution scheme of each offshore wind power device which needs to be regulated and controlled in the current control period is determined by taking the minimum function value of the power distribution objective function as a target, and the optimal output power of each offshore wind power device is determined.
Specifically, ADMM (Alternating Direction Method of Multipliers) algorithm, genetic algorithm, simulated annealing algorithm, particle swarm optimization algorithm and the like can be adopted to carry out optimization solution, and the optimal output power of each offshore wind farm on the same day is obtained through calculation. The invention is not limited to the process of how to calculate the solution using the existing algorithm.
In the invention, the power distribution of the whole wind power plant can be more reasonable and efficient by minimizing the value of the power distribution objective function. The optimal output power of each wind power plant is determined under the condition of ensuring that the total power of the whole wind power plant is maximized or the cost is minimized, so that the overall operation efficiency and the economy of the wind power plant are optimized.
In one possible implementation manner, the processing flow of the active power distribution method of the offshore wind power cluster further comprises:
s5: and calculating a prediction error according to the actual deviation between the wind power predicted power and the wind power actual power.
S6: and correcting the power prediction model according to the calculated prediction error.
S7: and carrying out active power distribution of the next control period by using the wind power predicted by the corrected power prediction model.
According to the invention, the power prediction model is corrected according to the actual deviation, and the active power distribution of the next control period is carried out by the corrected model, so that the prediction accuracy can be improved, the wind abandoning loss is reduced, the scheduling strategy is optimized, the running cost is reduced, the power grid stability is enhanced, and meanwhile, the running of an intelligent regulation and control system is supported, so that the running efficiency and the economy of the offshore wind power cluster are comprehensively improved.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) In the invention, in the face of objective environments with changeable wind speed and wind direction in a marine environment, under each control period, the lifting power capacity of the offshore wind power equipment in the current control period is determined in real time according to the wind speed and wind direction of the offshore wind power equipment and the current wind power of the offshore wind power equipment, so that whether regulation and control are needed in the current control period is determined, the change of the wind speed and the wind direction can be adapted in time in each control period, the distribution of active power is further completed, the active power distribution effect of a wind power cluster is improved, the running efficiency of the wind power equipment is improved, the running cost is reduced, and the stability of a power grid is improved.
(2) In the invention, the offshore wind power cluster is divided into a plurality of offshore wind power plants, the primary distribution is carried out with the aim of minimizing the total power generation cost and maximizing the wind power generation, and the active power distribution scheme of each wind power plant is determined, so that the whole offshore wind power cluster can be optimized in the aspects of economic benefit and energy utilization. And then, secondary distribution is carried out by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target, and the active power distribution scheme of each wind power device in each wind power plant is determined, so that the running stability and the prediction accuracy of the wind power plant can be improved, the running efficiency of the wind power devices is further improved, and the stability of a power grid is improved.
Referring to the attached figure 3 of the specification, a schematic structural diagram of an active power distribution system of an offshore wind power cluster is shown.
The invention also provides an active power distribution system 20 of the offshore wind power cluster, which is applied to the active power distribution method of the offshore wind power cluster, and comprises the following steps:
a processor 201;
The memory 202 stores computer readable instructions, which when executed by the processor 201, implement the active power allocation method of the offshore wind farm according to the method embodiment.
The active power distribution system 20 of the offshore wind power cluster provided by the invention can execute the active power distribution method of the offshore wind power cluster, and achieve the same or similar technical effects, and the invention is not repeated for avoiding repetition.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) In the invention, in the face of objective environments with changeable wind speed and wind direction in a marine environment, under each control period, the lifting power capacity of the offshore wind power equipment in the current control period is determined in real time according to the wind speed and wind direction of the offshore wind power equipment and the current wind power of the offshore wind power equipment, so that whether regulation and control are needed in the current control period is determined, the change of the wind speed and the wind direction can be adapted in time in each control period, the distribution of active power is further completed, the active power distribution effect of a wind power cluster is improved, the running efficiency of the wind power equipment is improved, the running cost is reduced, and the stability of a power grid is improved.
(2) In the invention, the offshore wind power cluster is divided into a plurality of offshore wind power plants, the primary distribution is carried out with the aim of minimizing the total power generation cost and maximizing the wind power generation, and the active power distribution scheme of each wind power plant is determined, so that the whole offshore wind power cluster can be optimized in the aspects of economic benefit and energy utilization. And then, secondary distribution is carried out by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target, and the active power distribution scheme of each wind power device in each wind power plant is determined, so that the running stability and the prediction accuracy of the wind power plant can be improved, the running efficiency of the wind power devices is further improved, and the stability of a power grid is improved. It should be appreciated that the processor in embodiments of the invention may be a central processing unit (centralprocessing unit, CPU), which may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processor, DSP), application specific integrated circuits (application specific integratedcircuit, ASIC), off-the-shelf programmable gate arrays (field programmable GATE ARRAY, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It should also be appreciated that the memory in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an erasable programmable ROM (erasable PROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as external cache memory. By way of example, and not limitation, many forms of random access memory (random accessmemory, RAM) are available, such as static random access memory (STATIC RAM, SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (double DATA RATE SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINK DRAM, SLDRAM), and direct memory bus random access memory (direct rambus RAM, DR RAM).
The above embodiments may be implemented in whole or in part by software, hardware (e.g., circuitry), firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.
In the present invention, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, device and unit described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative 25, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another device, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part contributing to the prior art or the part of the technical solution, may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
An embodiment of the invention provides a computer readable storage medium, on which a computer program is stored, which is characterized in that the program, when being executed by a processor, implements an active power distribution method of an offshore wind power cluster according to the embodiment of the method.
The steps and effects of the active power distribution method of the offshore wind power cluster in the method embodiment can be realized by the computer readable storage medium, and in order to avoid repetition, the invention is not repeated.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
(1) In the invention, in the face of objective environments with changeable wind speed and wind direction in a marine environment, under each control period, the lifting power capacity of the offshore wind power equipment in the current control period is determined in real time according to the wind speed and wind direction of the offshore wind power equipment and the current wind power of the offshore wind power equipment, so that whether regulation and control are needed in the current control period is determined, the change of the wind speed and the wind direction can be adapted in time in each control period, the distribution of active power is further completed, the active power distribution effect of a wind power cluster is improved, the running efficiency of the wind power equipment is improved, the running cost is reduced, and the stability of a power grid is improved.
(2) In the invention, the offshore wind power cluster is divided into a plurality of offshore wind power plants, the primary distribution is carried out with the aim of minimizing the total power generation cost and maximizing the wind power generation, and the active power distribution scheme of each wind power plant is determined, so that the whole offshore wind power cluster can be optimized in the aspects of economic benefit and energy utilization. And then, secondary distribution is carried out by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target, and the active power distribution scheme of each wind power device in each wind power plant is determined, so that the running stability and the prediction accuracy of the wind power plant can be improved, the running efficiency of the wind power devices is further improved, and the stability of a power grid is improved.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Compared with the prior art, the technical scheme has at least the following beneficial effects:
according to the invention, the static object can be subjected to light shadow optimization based on the light baking technology, the game animation can be subjected to streamer optimization based on the streamer processing technology, the picture optimization is performed on the nostalgic net game, the attraction of the nostalgic net game to a new player is improved, and the market competitiveness of the nostalgic net game is improved.
The following points need to be described:
(1) The drawings of the embodiments of the present invention relate only to the structures related to the embodiments of the present invention, and other structures may refer to the general designs.
(2) In the drawings for describing embodiments of the present invention, the thickness of layers or regions is exaggerated or reduced for clarity, i.e., the drawings are not drawn to actual scale. It will be understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, it can be "directly on" or "under" the other element or intervening elements may be present.
(3) The embodiments of the invention and the features of the embodiments can be combined with each other to give new embodiments without conflict.
The present invention is not limited to the above embodiments, but the scope of the invention is defined by the claims.
Claims (10)
1. The active power distribution method of the offshore wind power cluster is characterized in that the offshore wind power cluster comprises a plurality of offshore wind power stations, each offshore wind power station comprises a plurality of offshore wind power equipment, and the active power distribution method of the offshore wind power cluster comprises the following steps:
S1: determining an active power distribution scheme of each offshore wind farm on the same day with the aim of minimizing the total power generation cost and maximizing the wind power generation;
S2: in the current control period, for each offshore wind farm, calculating the lifting power capacity of each offshore wind power plant according to the wind speed and wind direction at the offshore wind power plant and the current wind power of the offshore wind power plant;
S3: matching the lifting power capacity of each offshore wind power device with the wind power predicted power change trend, and determining whether each offshore wind power device needs to be regulated and controlled in the current control period;
s4: and determining an active power distribution scheme of each offshore wind power equipment to be regulated and controlled in the current control period by taking the deviation minimization between the wind power predicted power and the wind power actual power as a target.
2. The active power distribution method of an offshore wind farm according to claim 1, further comprising:
s5: calculating a prediction error according to the actual deviation between the wind power predicted power and the wind power actual power;
s6: correcting the power prediction model according to the calculated prediction error;
S7: and carrying out active power distribution of the next control period by using the wind power predicted by the corrected power prediction model.
3. The active power distribution method of an offshore wind farm according to claim 1, wherein S1 specifically comprises:
S101: constructing a current day scheduling objective function with the aim of minimizing the total power generation cost and maximizing the wind power generation;
S102: setting a scheduling constraint condition of the current day;
s103: and under the constraint of the current day scheduling constraint condition, determining a current day active power distribution scheme by taking the maximum function value of the current day scheduling objective function as a target, and determining the optimal output power of each offshore wind farm on the current day.
4. The active power distribution method of the offshore wind power cluster according to claim 3, wherein the current day scheduling objective function is specifically: wherein/> Represents the scheduling objective function of the day, max represents the maximum value,/>Weight coefficient representing wind power generation term,/>Weight coefficient representing power generation cost term,/>Representing the conventional power generation cost,/>Representing the output power at time t of the ith offshore wind farm,Representing the wind abandon punishment cost,/>Output power of wind power cluster at time t is expressed by/>Representing a first scheduling period, t representing time;
the output power Pt of the wind power cluster at the moment t is specifically: wherein/> ，/>Representing the total number of offshore wind farms.
5. The active power distribution method of an offshore wind farm according to claim 4, wherein the conventional power generation cost is specifically: wherein/> Representing the conventional power generation cost,/>Representing the output power at time t of the ith offshore wind farm,/>Representing the power generation cost quadratic term coefficient of the ith offshore wind farm,/>One-time term coefficient representing power generation cost of ith offshore wind farm,/>Representing the coefficient of a constant term of the power generation cost of the ith offshore wind farm;
the wind abandoning punishment cost is specifically as follows: wherein/> Representing the wind abandon punishment cost,/>Output power of wind power cluster at time t is expressed by/>Output power predicted value of wind power cluster at t moment,/>Representing the cost factor of the waste wind.
6. The active power distribution method of an offshore wind farm according to claim 1, wherein S2 specifically comprises:
s201: determining a standard wind speed at the offshore wind plant from the wind speed and the wind direction at the offshore wind plant: wherein/> Representing standard wind speed,/>Representing the current wind speed,/>Representing the included angle between the current wind direction and the wind power equipment blade;
s202: determining theoretical output power of offshore risk equipment based on a power curve corresponding to the offshore wind power equipment according to standard wind speed at the offshore wind power equipment;
s203: according to the current wind power and the theoretical output power of the offshore wind power equipment, calculating the lifting power capacity of each offshore wind power equipment: where s represents the power up-down capability,/> Representing theoretical output power,/>Representing the actual output power, will be when/>S denotes the power boost capability,/>S represents the power down capability.
7. The active power distribution method of the offshore wind farm according to claim 1, wherein S3 specifically comprises:
s301: in the current control period, counting wind power prediction power variation according to a preset time interval: wherein/> Represents the k wind power predictive power change quantity,/>Wind power predicted power representing k+1st statistical point,/>Wind power prediction power of the kth statistical point is represented;
S302: calculating power variation trend parameters according to the counted wind power forecast power variation: wherein/> Representing the power change trend parameter,/>The value range of (2) is/>，/>Representing a sign function, when/>When positive, the number is/>When/>When negative,/>，/>K represents the total number of wind power prediction power variation;
s303: normalizing the value of the lifting power capacity of each offshore wind power equipment to Within the interval range;
s304: matching the power change trend parameter with the lifting power capacity of each offshore wind power device to obtain the matching degree of each offshore wind power device: wherein/> Representing the matching degree of the jth offshore wind power equipment,/>The lifting power capacity of the j-th offshore wind power equipment after normalization treatment is represented;
s305: and determining the offshore wind power equipment with the matching degree larger than the preset matching degree as the offshore wind power equipment needing to be regulated and controlled in the current control period.
8. The active power distribution method of the offshore wind farm according to claim 1, wherein S4 specifically comprises:
S401: constructing a power distribution objective function by taking the deviation minimization between wind power predicted power and wind power actual power as an objective;
S402: setting a power allocation constraint condition;
s403: and under the constraint of the power distribution constraint condition, determining the active power distribution scheme of each offshore wind power equipment to be regulated and controlled in the current control period by taking the minimum function value of the power distribution objective function as a target, and determining the optimal output power of each offshore wind power equipment.
9. The active power distribution method of an offshore wind farm according to claim 8, wherein the power distribution objective function is specifically: Wherein/> Represents a power allocation objective function, min represents a minimum value,/>Output power of j-th offshore wind power equipment at t moment,/>Output power predicted value of j-th offshore wind power equipment at t moment is expressed, and is/areRepresents a second scheduling period, t represents time,/>，/>Representing the total number of offshore wind power plants.
10. An active power distribution system for an offshore wind farm, comprising:
A processor;
A memory having stored thereon computer readable instructions which, when executed by the processor, implement the active power distribution method of an offshore wind farm according to any of claims 1 to 9.
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