CN115293547A - Phase modulator evaluation method and device - Google Patents
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Abstract
The invention provides a phase modulator evaluation method and a phase modulator evaluation device, wherein the method comprises the following steps: acquiring new energy station data in a preset time period, and determining basic parameters of the new energy station according to the new energy station data; determining evaluation parameters corresponding to the configuration rules of the phase modulators according to the basic parameters of the new energy station by utilizing a plurality of preset configuration rules of the phase modulators; and determining the phase modifier evaluation result according to the evaluation parameters corresponding to the phase modifier configuration rules. The method can accurately evaluate parameters of different phase modulation machine configuration schemes through new energy station data, can visually judge the economical efficiency of different schemes, has simple principle, does not need complex calculation, reduces the labor cost, has wide application range, can be used for selecting new energy station phase modulation machine configuration schemes in a planning and designing stage, and provides reference basis for enterprises investing in phase modulation machines.
Description
Technical Field
The invention relates to the technical field of new energy stations, in particular to a phase modulator evaluation method and a phase modulator evaluation device.
Background
The new energy station in the high-proportion new energy collection area has the problems of weak active supporting capacity, low short-circuit ratio of multiple stations, transient overvoltage, low voltage and the like after a power grid fault, and has poor system fault disturbance impact resistance, so that the new energy is severely restricted from being sent out. The relevant requirements of national standards are that "in areas with high proportion of new energy grid-connected power generation, new energy stations should provide necessary inertia and short-circuit capacity support". The phase modulator has instantaneous reactive power support and strong short-time overload capacity, can effectively solve the problem of insufficient short-circuit capacity support of the new energy station, and improves the new energy sending capacity, so that the attention of relevant students and enterprises is widely aroused. With the continuous construction and transportation of new energy stations and the change of the net rack, the output limit of the new energy stations in the same area can be improved, and economic indexes concerned by enterprises preparing to install phase modulators are more diversified, including investment, operation and maintenance, loss, income, recovery time period and the like. Different phase modifier schemes are difficult to intuitively judge which scheme has better economical efficiency by directly comparing indexes. Therefore, a systematic method for evaluating economic indicators more objectively is needed.
Currently, there is less literature on the economics of phase modulators. The traditional economic algorithm adopts standard driving, minimum cost and project-oriented evaluation, and has the advantage of minimum long-term cost, but the investment cannot be reduced, and the budget is reduced. The current technical scheme provides that the economical analysis is carried out on the camera by using a cost-benefit increment ratio (IB/C) method, and the economical analysis is based on the ratio of the gain increment to the cost increment. The current technical scheme also provides that index weights of different evaluation factors are determined according to index scores, and screened indexes comprise unit improvement of new energy output electric quantity, unit capacity investment and equipment operation loss; the two schemes only consider the benefits and the cost in consideration of indexes, do not consider the influence of cost recovery time, and lack the influence of related indexes. The current technical scheme also provides an equal-annual-value method for economic evaluation, and the method is based on the cash flow of the investment scheme and the current value of annual cash flow which is calculated averagely during the utility period. However, the scheme needs to invest the total cash flow of the scheme in the future utility period, and due to the continuous delivery of other new energy stations and the change of net racks, the prospective planning time generally considers the next 5 years, so that the cash inflow of the station in the future utility period is difficult to evaluate and calculate.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention mainly aims to provide a phase modulator evaluation method and a phase modulator evaluation device, so that the economic characteristics of the phase modulator can be quickly and accurately evaluated, and the labor cost is reduced.
In order to achieve the above object, an embodiment of the present invention provides a phase modulator evaluation method, including:
acquiring new energy station data in a preset time period, and determining basic parameters of the new energy station according to the new energy station data;
determining evaluation parameters corresponding to the configuration rules of the phase modulators according to the basic parameters of the new energy station by utilizing a plurality of preset configuration rules of the phase modulators;
and determining the evaluation result of the phase modulators according to the evaluation parameters corresponding to the configuration rules of the phase modulators.
Optionally, in an embodiment of the present invention, the new energy station basic parameters include an average power and an available power of the new energy station.
Optionally, in an embodiment of the present invention, determining the new energy station basic parameter according to the new energy station data includes:
determining a wind speed set, fan types and the number of the fan types of the new energy station according to the new energy station data;
and determining the average power and the available electric quantity of the new energy station according to the wind speed set, the fan types and the number of the fan types of the new energy station.
Optionally, in an embodiment of the present invention, determining, according to the basic parameters of the new energy station, the evaluation parameters corresponding to the configuration rules of each phase modulator includes: and determining the increased power generation amount, the increased income, the annual loss and the recovery cost time corresponding to the configuration rule of each phase modulator according to the average power and the available power of the new energy station.
Optionally, in an embodiment of the present invention, determining an evaluation result of the phase modulators according to the evaluation parameter corresponding to the configuration rule of each phase modulator includes:
normalizing the evaluation parameters corresponding to the configuration rules of each phase modulator to determine the weight coefficients of the evaluation parameters;
and determining the evaluation result of the phase modulator according to each evaluation parameter and the corresponding weight coefficient.
The embodiment of the invention also provides a phase modulator evaluation device, which comprises:
the basic parameter module is used for acquiring new energy station data in a preset time period and determining basic parameters of the new energy station according to the new energy station data;
the evaluation parameter module is used for determining evaluation parameters corresponding to the phase modulator configuration rules according to the basic parameters of the new energy station by utilizing a plurality of preset phase modulator configuration rules;
and the evaluation result module is used for determining the evaluation result of the phase modulators according to the evaluation parameters corresponding to the configuration rules of the phase modulators.
Optionally, in an embodiment of the present invention, the new energy station basic parameters include an average power and an available power of the new energy station.
Optionally, in an embodiment of the present invention, the basic parameter module includes:
the fan data unit is used for determining a wind speed set, fan types and the number of the fan types of the new energy station according to the new energy station data;
and the basic parameter unit is used for determining the average power and the available electric quantity of the new energy station according to the wind speed set, the fan types and the number of the fan types of the new energy station.
Optionally, in an embodiment of the present invention, the evaluation parameter module is further configured to: and determining the increased power generation amount, the increased income, the annual loss and the recovery cost time corresponding to the configuration rule of each phase modulator according to the average power and the available power of the new energy station.
Optionally, in an embodiment of the present invention, the evaluation result module includes:
the weight coefficient unit is used for carrying out normalization processing on the evaluation parameters corresponding to the configuration rules of each phase modulator and determining the weight coefficient of each evaluation parameter;
and the evaluation result unit is used for determining the evaluation result of the phase modulator according to each evaluation parameter and the corresponding weight coefficient.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method when executing the program.
The present invention also provides a computer-readable storage medium having stored thereon a computer program for executing the above method.
The present invention also provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the above method.
The method can accurately evaluate parameters of different phase modulation machine configuration schemes through new energy station data, can visually judge the economical efficiency of different schemes, has simple principle, does not need complex calculation, reduces the labor cost, has wide application range, can be used for selecting new energy station phase modulation machine configuration schemes in a planning and designing stage, and provides reference basis for enterprises investing in phase modulation machines.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a flow chart of a phase modulator evaluation method according to an embodiment of the present invention;
FIG. 2 is a flowchart of determining basic parameters of a new energy station according to an embodiment of the present invention;
FIG. 3 is a flow chart of determining phase modulator evaluation results in an embodiment of the present invention;
FIG. 4 is a flow chart of phase modulator evaluation in an embodiment of the present invention;
FIG. 5 is a schematic diagram of a phase modulator evaluation apparatus according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a basic parameter module according to an embodiment of the present invention;
FIG. 7 is a block diagram of an evaluation result module according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a phase modulator evaluation method and device.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart illustrating a phase modulation machine evaluation method according to an embodiment of the present invention, and the execution subject of the phase modulation machine evaluation method according to the embodiment of the present invention includes, but is not limited to, a computer. The method can accurately evaluate parameters of different phase modulation machine configuration schemes through new energy station data, can visually judge the economical efficiency of different schemes, has simple principle, does not need complex calculation, reduces the labor cost, has wide application range, can be used for selecting new energy station phase modulation machine configuration schemes in a planning and designing stage, and provides reference basis for enterprises investing in phase modulation machines. The method shown in fig. 1 comprises:
the method comprises the following steps that S1, new energy station data in a preset time period are obtained, and basic parameters of the new energy station are determined according to the new energy station data;
s2, determining evaluation parameters corresponding to the configuration rules of the phase modulators according to basic parameters of the new energy field station by utilizing a plurality of preset configuration rules of the phase modulators;
and S3, determining the phase modulator evaluation result according to the evaluation parameters corresponding to the configuration rules of each phase modulator.
The preset time period can be set to be one year, and specifically, the annual data of the new energy station is acquired and used as the new energy station data. Specifically, the new energy station data includes: the wind speed (or illumination intensity), the installed capacity of a new energy station, the annual wind speed (or illumination intensity) set, the type number of different fans (or photovoltaic), the number set of each type, the wind power curve set of different types and the like.
As an embodiment of the present invention, the new energy station base parameters include an average power and an available power of the new energy station.
In this embodiment, as shown in fig. 2, determining the new energy station basic parameters according to the new energy station data includes:
step S21, determining a wind speed set, fan types and the number of the fan types of the new energy station according to the data of the new energy station;
and S22, determining the average power and the available electric quantity of the new energy station according to the wind speed set, the fan types and the number of the fan types of the new energy station.
The method comprises the steps of determining basic parameters of the new energy station by using new energy station data, and specifically calculating the basic parameters of the new energy station within preset time by using the new energy station data. Specifically, for example, the basic parameter may be the average power and the available electric quantity of the new energy station in a certain hour. The specific calculation process is shown in formula (1) and formula (2).
Specifically, the average power of the new energy station in a certain hour is as follows:
available electric quantity:
wherein h =1, the annual wind speed (or illumination intensity) set v = { v = 1 ,…,v i H, m types of different fan (or photovoltaic) models (i =1, …, 8760), and the set of the number of each model n = { n = 1 ,…,n m Set of wind power curves f (x) = { f) of different models 1 (x),…,f m (x) And f, the output values of different models at different wind speeds.
Furthermore, the preset configuration rules of the phase modulators are a plurality of preset schemes of the configurable phase modulators on the premise of meeting the requirements of short-circuit ratio, static stability, transient stability, dynamic stability and the like of the new energy multi-field station.
In this embodiment, determining, according to the basic parameters of the new energy station, the evaluation parameters corresponding to the configuration rules of each phase modulator includes: and determining the increased power generation amount, the increased income, the annual loss and the recovery cost time corresponding to the configuration rule of each phase modulator according to the average power and the available power of the new energy station.
The evaluation parameters comprise increased power generation quantity, increased income, annual loss and recovery cost time. And obtaining the phase modulator evaluation result of the new energy station by using the evaluation parameters.
As an embodiment of the present invention, as shown in fig. 3, determining the phase modulation evaluation result according to the evaluation parameter corresponding to each phase modulation configuration rule includes:
step S31, carrying out normalization processing on the evaluation parameters corresponding to the configuration rules of each phase modulator, and determining the weight coefficients of the evaluation parameters;
and step S32, determining the evaluation result of the phase modulator according to each evaluation parameter and the corresponding weight coefficient.
And normalizing the evaluation parameters corresponding to the configuration rules of the phase modulators to determine the weight coefficients of the evaluation parameters. And sequencing by using the weight coefficients of the evaluation parameters, and calculating a comprehensive evaluation result after normalization of different schemes, namely a phase modulator evaluation result.
In a specific embodiment of the present invention, as shown in the phase modulation machine evaluation flow shown in fig. 4, the present invention determines an optimal phase modulation machine deployment scheme for a new energy station through economic evaluation calculation, and specifically includes the following steps:
(1) On the premise of meeting the requirements of new energy multi-field station short circuit ratio, system static stability, transient stability, dynamic stability and the like, k types of configurable phase modulator schemes and a construction time set T are determined B ={T B1 ,…,T Bk And a set of land acquisition times T C ={T C1 ,…,T Ck }。
(2) Acquiring annual data of the new energy station, and collecting one point per hour of wind speed (or illumination intensity). Installed capacity S of new energy field station, annual wind speed (or illumination intensity) set v = { v = (v) } 1 ,…,v i H, m types of different fan (or photovoltaic) models (i =1, …, 8760), and the set of the number of each model n = { n = 1 ,…,n m Set of different model wind power curves f (x) = { f = } 1 (x),…,f m (x) And (the output values of different models at different wind speeds).
(3) And (3) calculating the average power and the available electric quantity of the new energy station at a certain hour, as shown in the formula (1) and the formula (2).
(4) Calculating the increased power generation quantity of different phase modulator schemes, and the increased power generation quantity set delta Q A ={ΔQ A1 ,...,ΔQ Ak }。
New energy station limit output C under A% simultaneous rate A =S×A%(A=A 1 ,…,A k ) Each scheme respectively judges the average power of the new energy station per hour, if P is i >C A Power P of network access in a certain hour INi =C A (ii) a Otherwise, P i ≤C A ,P INi =P i 。
Annual energy production at a% coincidence:
power generation rate at a% coincidence:
η GPRA =Q A /Q (4)
a% power loss at the same time:
η APRA =1-η GPR (5)
increasing the power generation quantity:
ΔQ A =Q A -Q A0 (6)
wherein Q is A The annual electric quantity (the improvement coincidence rate after adding a camera) under the coincidence rate of A percent, Q A0 The annual capacity at A0% coincidence (coincidence without adding a camera).
(5) Calculating the gain of different phase modulation schemes, the gain set Δ IN A ={ΔIN A1 ,...,ΔIN Ak }。
The income can be increased:
ΔIN A =ΔQ A ×C Price ×K 1 ×K 2 (7)
wherein, K 1 As green electricity transaction coefficient, K 2 To take into account the reliability factor after equipment damage, C price The comprehensive electricity price is obtained.
(6) Calculating the investment and operation and maintenance loss costs of different phase modifier schemes, and collecting the investment F A ={F A1 ,...,F Ak The annual operation and maintenance cost O A ={O A1 ,···,O Ak The annual loss set L A ={L A1 ,...,L Ak }。
Total investment:
F A =Fa+Fb+Fc+Fd (8)
wherein Fa is equipment cost, fb is access modification charge, fc is land acquisition charge, and Fd is interval modification charge.
Annual operation and maintenance cost: the annual overhaul cost is O B The annual expense of minor repair is O C (wherein, the major repair is 1 year, the minor repair is 5 years, and 6 years are a period). The on-line time of the phase modifier is 30 years.
If t =6n +1 (n =0, …, 4), O A =O B (ii) a Otherwise O A =O C (9)
Annual phase modifier power loss:
L A =t A ×S TA ×a%×8760×C Price (10)
wherein: s TA For phase modifier capacity, phase modifier t A Stage, a is typically 2%.
(7) Calculating the recovery cost time of different phase modifier schemes, and collecting the recovery cost time T A ={T A1 ,...,T Ak }。
If F A /(ΔIN A -L A -O B )≤1,T a =F A /(ΔIN A -L A -O B )×12;
Otherwise T a =(F A -(ΔIN A -L A -O B ))/(ΔIN A -L A -O C )×12+12。
Total recovery cost time:
T A =T a +T b +T c (11)
wherein, recovery time after Ta production, T b Construction time, T c The land acquisition time is obtained.
(8) And constructing an evaluation index comprehensive evaluation method.
And normalizing the weight coefficients of the k elements of each attribution layer.
1) Aggregate total investment F A The elements of the set are ordered from small to large, W a (z) is the ranking value of the z-th element, and F is obtained by normalization A Aggregate the ranking weights for each element:
wherein, (z =1, …, k).
2) The loss charge is collected L A The elements of the set are ordered from small to large, W b (z) is the ranking value of the z-th element, L is obtained by normalization A Aggregate the ranking weights for each element:
wherein, (z =1, …, k).
3) The operation and maintenance costs are collected O A The elements of the set are ordered from small to large, W c (z) is the ranking value of the z-th element, and O is obtained by normalization A Set the ranking weights for each element:
wherein, (z =1, …, k).
4) Will increase the benefitSet Δ IN A The elements of the set are ordered from large to small, W d (z) is the ranking value of the z-th element, and is normalized to obtain delta IN A Aggregate the ranking weights for each element:
wherein, (z =1, …, k).
5) Set recovery cost time T A The elements of the set are ordered from small to large, W E (z) is the ranking value of the z-th element, and T is obtained by normalization A Aggregate the ranking weights for each element:
wherein, (z =1, …, k).
6) Calculating the comprehensive evaluation factors after normalization of different schemes:
wherein the coefficients C1, C2, C3, C4 and C5 are each P A 、P B 、P C 、P D 、P E The weight coefficient of (2). The weighting coefficients can be properly adjusted according to the focus of investment enterprises, and the default coefficients are all 1.
(9) And comparing the comprehensive evaluation factors P (z) of different schemes, and sequencing the factors from small to large, wherein the smaller the value of P (z), the better the economic effect, and giving a recommended scheme.
In a specific embodiment of the invention, a phase modulation scheme with optimal economy is configured according to data of a certain actual new energy station in a certain region, and the calculation process is as follows.
(1) On the premise of meeting the requirements of new energy multi-field station short circuit ratio, system static stability, transient stability, dynamic stability and the like, 2 configurable phase modulation schemes are determined, and the scheme 1 is that 3 20 MVars are modulatedThe camera, scheme 2 is 2 phase modulators of 50 MVar. Set of construction times T B Set of = {15.5, 19.5} and travel time T C ={0,0}。
(2) Acquiring annual data of the new energy station, and acquiring one point per hour of wind speed. The installed capacity S =448.5MW of the new energy field station, and the annual wind speed set v = { v = (v) } 1 ,…,v i And (i =1, …, 8760), 2 different fan models are adopted, namely UP1500 and UP2000, the set of the number of each fan model is n = {99, 150}, and the set of wind power curves of different fan models is f (x) = { f = } 1 (x),f 2 (x) And (the output values of different models at different wind speeds).
(3) And calculating the average power and the available electric quantity of the new energy station at a certain hour.
(4) Calculating the increased power generation quantity of different phase modulator schemes, and the increased power generation quantity set delta Q A ={ΔQ A1 ,ΔQ A2 }。
New energy station limit output C under A% simultaneous rate A =S×A%(A=75,65),C A1 =336.375MW,C A2 =291.525MW, each scheme determines the average power of the new energy station per hour, if P is detected i >C A Power P of network access in a certain hour INi =C A (ii) a Otherwise, P i ≤C A ,P INi =P i 。
Annual energy production at a% coincidence:
Q A0 =473448.5MW.h,Q A1 =947849.0MW.h,Q A2 =8777834.0MW.h,
a% power loss at the same time:
η APRA0 =55.66%,η APRA1 =11.24%,η APRA2 =17.80%,
increasing the power generation quantity:
ΔQ A1 =474400.49 (MW · h/year), Δ Q A2 =404385.54 (MW · h/year).
(5) Calculating the gain and gain set delta IN for different phase modulation schemes A ={ΔIN A1 ,ΔIN A2 }。
K 1 =0.5,K 2 =0.9、C price =0.52 (yuan/kw.h),
ΔIN A1 =11100.97 (ten thousand yuan/year), Δ IN A2 =9462.62 (ten thousand yuan/year).
(6) Calculating the investment and operation and maintenance loss costs of different phase modifier schemes, and collecting the investment F A ={F A1 ,F A2 The annual operation and maintenance cost O A ={O A1 ,O A2 }, annual loss sets L A ={L A1 ,L A2 }。
F A1 =3240 + 3+144+0+40=9904 (ten thousand yuan);
F A2 =4920 + 2+102+0+ 9942 (ten thousand yuan).
Each scheme has annual operation and maintenance costs:
if t =6n +1 (n =0, …, 4), O A1 =348.75 (ten thousand yuan/year), otherwise O A =139.5 (ten thousand yuan/year);
if t =6n +1 (n =0, …, 4), O A1 =300 (ten thousand yuan/year), otherwise O A =120 (ten thousand yuan/year).
Annual phase modifier power loss:
L A1 =3 × 20 × 2% × 8760 × 0.52/10=546.62 (ten thousand yuan/year);
L A1 =2 × 50 × 2% × 8760 × 0.52/10=911.04 (ten thousand yuan/year).
(7) Calculating the recovery cost time of different phase modifier schemes, and collecting the recovery cost time T A ={T A1 ,T A2 }。
T A1 =11.6+15.5+0=27.1 (month)
T A2 =14.4+19.5+0=33.9 (month).
(8) And constructing an evaluation index comprehensive evaluation method.
And normalizing the weight coefficients of the k elements of each attribution layer.
1)P A (1)=1/3,P A (2)=2/3;
2)P B (1)=1/3,P B (2)=2/3;
3)P C (1)=2/3,P C (2)=1/3;
4)P D (1)=1/3,P D (2)=2/3;
5)P E (1)=1/3,P E (2)=2/3;
6) Calculating the comprehensive evaluation factors after normalization of different schemes:
P(1)=2/5,P(2)=3/5。
(9) And comparing the comprehensive evaluation factors P (z) of different schemes, and sequencing the factors in a sequence from small to large, wherein the smaller the value of P (z), the better the economic effect, and the recommended scheme I.
The invention increases the recovery cost time index, provides a phase modulator evaluation method based on an analytic hierarchy process, and can visually judge the economical efficiency of different schemes. The principle is simple, and complex calculation is not needed. If the economy part is directly calculated, a large number of repetitive operations are involved for each modification of a parameter. By applying the method provided by the text, the calculation can be performed quickly, and the labor cost is reduced. The method has wide application range, can be used for selecting a new energy station phase modulator configuration scheme in a planning and designing stage, and provides a reference basis for enterprises investing in phase modulators.
Fig. 5 is a schematic structural diagram of a phase modulation machine evaluation apparatus according to an embodiment of the present invention, where the apparatus includes:
the basic parameter module 10 is configured to acquire new energy station data within a preset time period, and determine basic parameters of the new energy station according to the new energy station data;
the evaluation parameter module 20 is configured to determine, according to the basic parameters of the new energy station, evaluation parameters corresponding to the configuration rules of the phase modulators by using a plurality of preset configuration rules of the phase modulators;
and the evaluation result module 30 is used for determining the evaluation result of the phase modulators according to the evaluation parameters corresponding to the configuration rules of the phase modulators.
As an embodiment of the present invention, the basic parameters of the new energy station include the average power and the available power of the new energy station.
In the present embodiment, as shown in fig. 6, the basic parameter module 10 includes:
the fan data unit 11 is used for determining a wind speed set, fan types and the number of the fan types of the new energy station according to the new energy station data;
and the basic parameter unit 12 is used for determining the average power and the available electric quantity of the new energy station according to the wind speed set, the fan types and the number of the fan types of the new energy station.
In this embodiment, the evaluation parameter module 20 is further configured to: and determining the increased power generation amount, the increased income, the annual loss and the recovery cost time corresponding to the configuration rule of each phase modulator according to the average power and the available power of the new energy station.
As an embodiment of the present invention, as shown in fig. 7, the evaluation result module 30 includes:
a weight coefficient unit 31, configured to perform normalization processing on the evaluation parameters corresponding to the configuration rules of each phase modulator, and determine a weight coefficient of each evaluation parameter;
and an evaluation result unit 32, configured to determine a phase modulator evaluation result according to each evaluation parameter and the corresponding weight coefficient.
Based on the same application concept as the evaluation method of the phase modulator, the invention also provides the evaluation device of the phase modulator. The principle of solving the problems of the phase modulator evaluation device is similar to that of a phase modulator evaluation method, so the implementation of the phase modulator evaluation device can be referred to the implementation of the phase modulator evaluation method, and repeated parts are not repeated.
The method can accurately evaluate parameters of different phase modulation machine configuration schemes through new energy station data, can visually judge the economical efficiency of different schemes, has simple principle, does not need complex calculation, reduces the labor cost, has wide application range, can be used for selecting new energy station phase modulation machine configuration schemes in a planning and designing stage, and provides reference basis for enterprises investing in phase modulation machines.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method when executing the program.
The invention also provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the above method.
The present invention also provides a computer-readable storage medium having stored thereon a computer program for executing the above method.
As shown in fig. 8, the electronic device 600 may further include: communication module 110, input unit 120, audio processor 130, display 160, power supply 170. It is noted that the electronic device 600 does not necessarily include all of the components shown in FIG. 8; in addition, the electronic device 600 may also include components not shown in fig. 8, which may be referred to in the prior art.
As shown in fig. 8, the central processor 100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, the central processor 100 receiving input and controlling the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 100 may execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides input to the cpu 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display an object to be displayed, such as an image or a character. The display may be, for example, an LCD display, but is not limited thereto.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 140 may also be some other type of device. Memory 140 includes buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142, and the application/function storage section 142 is used to store application programs and function programs or a flow for executing the operation of the electronic device 600 by the central processing unit 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging application, address book application, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132 to implement general telecommunications functions. Audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, an audio processor 130 is also coupled to the central processor 100, so that recording on the local can be enabled through a microphone 132, and so that sound stored on the local can be played through a speaker 131.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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 flow or flows and/or block diagram block or blocks.
These computer program instructions may 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 instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may 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 functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (13)
1. A phase modulator evaluation method, comprising:
acquiring new energy station data in a preset time period, and determining basic parameters of the new energy station according to the new energy station data;
determining evaluation parameters corresponding to the configuration rules of the phase modulators according to the basic parameters of the new energy station by utilizing a plurality of preset configuration rules of the phase modulators;
and determining the phase modifier evaluation result according to the evaluation parameters corresponding to the phase modifier configuration rules.
2. The method according to claim 1, wherein the new energy station basis parameters include an average power and an available capacity of the new energy station.
3. The method of claim 2, wherein determining new energy site base parameters from the new energy site data comprises:
determining a wind speed set, fan types and the number of the fan types of the new energy station according to the new energy station data;
and determining the average power and the available electric quantity of the new energy station according to the wind speed set, the fan types and the number of the fan types of the new energy station.
4. The method according to claim 2, wherein the determining, according to the new energy station base parameters, the evaluation parameters corresponding to the respective phase modulation configuration rules comprises: and determining the increased power generation amount, the increased income, the annual loss and the recovery cost time corresponding to the configuration rule of each phase modulator according to the average power and the available power of the new energy station.
5. The method of claim 1, wherein said determining phase modulator evaluation results based on evaluation parameters corresponding to respective phase modulator configuration rules comprises:
normalizing the evaluation parameters corresponding to the configuration rules of each phase modulator to determine the weight coefficients of the evaluation parameters;
and determining the evaluation result of the phase modulator according to each evaluation parameter and the corresponding weight coefficient.
6. A phase modulation evaluation apparatus, comprising:
the basic parameter module is used for acquiring new energy station data in a preset time period and determining basic parameters of the new energy station according to the new energy station data;
the evaluation parameter module is used for determining evaluation parameters corresponding to the phase modulator configuration rules according to the basic parameters of the new energy station by utilizing a plurality of preset phase modulator configuration rules;
and the evaluation result module is used for determining the evaluation result of the phase modulators according to the evaluation parameters corresponding to the configuration rules of the phase modulators.
7. The apparatus of claim 6, wherein the new energy station basis parameters include an average power and an available charge of the new energy station.
8. The apparatus of claim 7, wherein the base parameter module comprises:
the fan data unit is used for determining a wind speed set, fan types and the number of the fan types of the new energy station according to the new energy station data;
and the basic parameter unit is used for determining the average power and the available electric quantity of the new energy station according to the wind speed set, the fan types and the number of the fan types of the new energy station.
9. The apparatus of claim 7, wherein the evaluation parameter module is further configured to: and determining the increased power generation amount, the increased income, the annual loss and the recovery cost time corresponding to the configuration rule of each phase modulator according to the average power and the available power of the new energy station.
10. The apparatus of claim 6, wherein the evaluation result module comprises:
the weight coefficient unit is used for carrying out normalization processing on the evaluation parameters corresponding to the configuration rules of each phase modulator and determining the weight coefficient of each evaluation parameter;
and the evaluation result unit is used for determining the evaluation result of the phase modulator according to each evaluation parameter and the corresponding weight coefficient.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 5 when executing the computer program.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 5.
13. A computer program product comprising computer programs/instructions, characterized in that the computer programs/instructions, when executed by a processor, implement the steps of the method of any of claims 1 to 5.
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