CN107657346B - Photovoltaic power station sub-transient potential parameter prediction method - Google Patents

Photovoltaic power station sub-transient potential parameter prediction method Download PDF

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CN107657346B
CN107657346B CN201710916703.2A CN201710916703A CN107657346B CN 107657346 B CN107657346 B CN 107657346B CN 201710916703 A CN201710916703 A CN 201710916703A CN 107657346 B CN107657346 B CN 107657346B
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李春来
左浩
滕云
张海宁
杨金路
孙鹏
张玉龙
程珊珊
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Shenyang University of Technology
State Grid Qinghai Electric Power Co Ltd
Electric Power Research Institute of State Grid Qinghai Electric Power Co Ltd
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State Grid Qinghai Electric Power Co Ltd
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Abstract

The invention provides a photovoltaic power station transient potential parameter prediction method, which comprises the steps of obtaining the actual output power of a photovoltaic power station under the standard weather condition, the rated voltage of each photovoltaic cell panel in the photovoltaic power station and the rated power of the photovoltaic power station, and determining the photovoltaic power station transient potential prediction parameter value under each weather influence factor state according to different weather influence factors; determining the measured values of the secondary transient potential of the photovoltaic power station at different PN junction temperatures according to the function of the change of the output of the photovoltaic cell panel with time under the standard weather condition; determining the sub-transient potential parameter prediction values of the photovoltaic power station under the current environment temperature, air humidity, wind power and illumination intensity; determining a final predicted value of the photovoltaic power station sub-transient potential parameter; the method analyzes factors influencing the sub-transient potential, improves the prediction of the sub-transient potential parameters of the photovoltaic power station to a greater extent, enables the calculated numerical value to reach a true value, and arranges a corresponding power generation plan, thereby reducing the economic cost.

Description

Photovoltaic power station sub-transient potential parameter prediction method
Technical Field
The invention belongs to the technical field of power grids, and particularly relates to a photovoltaic power station sub-transient potential parameter prediction method.
Background
The photovoltaic power station is relatively high in quality requirement on electricity when being connected to a grid, the traditional inverter adopts the SPWM technology, the photovoltaic power station transient potential is difficult to identify, parameter prediction is urgently needed to be carried out on the photovoltaic power station transient potential in order to enable the safe and stable operation of a power grid system, and the decision of the distribution mode of corresponding electricity storage and energy storage is carried out in advance. And in the process of predicting the sub-transient potential parameters of the photovoltaic power station, prediction analysis is carried out according to the change of weather and the current environment temperature, air humidity and wind power, so that the sub-transient potential parameters are predicted according to the analysis result.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a photovoltaic power station sub-transient potential parameter prediction method.
A photovoltaic power station sub-transient potential parameter prediction method comprises the following steps:
step 1: acquiring actual output power P of the photovoltaic power station under standard weather conditions, rated voltage U of each photovoltaic cell panel in the photovoltaic power station and rated power P' of the photovoltaic power station, and determining a predicted value U of transient potential parameter of the photovoltaic power station under each weather influence factor state according to different weather influence factorsqiWherein i is a weather influence factor;
the weather influence factor is: sunny day i is 1, cloudy day i is 2, cloudy day i is 3, rainy day i is 4;
the weather influence factorsPhotovoltaic power station transient state electric potential parameter predicted value U under stateqiAs follows:
photovoltaic power station transient potential parameter predicted value U under sunny stateq1The calculation formula of (a) is as follows:
Figure GDA0002688838250000011
photovoltaic power station transient potential parameter predicted value U in multi-cloud stateq2The calculation formula of (a) is as follows:
Figure GDA0002688838250000012
photovoltaic power station transient potential parameter predicted value U in cloudy stateq3The calculation formula of (a) is as follows:
Figure GDA0002688838250000013
photovoltaic power station transient potential parameter predicted value U in rainy day stateq4The calculation formula of (a) is as follows:
Figure GDA0002688838250000014
step 2: determining the predicted value U of the sub-transient potential parameter of the photovoltaic power station at different PN junction temperatures according to the function of the output of the photovoltaic cell panel under the standard weather condition along with the change of timeP；
The photovoltaic power station sub-transient potential parameter predicted value U under different PN junction temperaturesPThe calculation formula of (a) is as follows:
Figure GDA0002688838250000021
wherein, P0(t) is the output of the photovoltaic cell panel under the standard weather conditionAnd (3) a function of the change of time T, wherein T is the temperature of a PN junction in the photovoltaic cell panel, k is a Boltzmann constant, and r is transmission resistance of the power transmission line.
And step 3: determining a photovoltaic power station sub-transient potential parameter predicted value U under the conditions of current environment temperature, air humidity, wind power and illumination intensityS；
The photovoltaic power station sub-transient potential parameter predicted value U under the current environment temperature, air humidity, wind power and illumination intensitySThe calculation formula of (a) is as follows:
Figure GDA0002688838250000022
wherein D is the illumination intensity, T2The current ambient temperature is H is the air humidity, and V is the wind power.
And 4, step 4: according to the photovoltaic power station transient potential parameter predicted value U under each weather influence factor stateqiPhotovoltaic power station sub-transient potential parameter predicted value U under different PN junction temperaturesPPhotovoltaic power station sub-transient potential parameter predicted value U under current environment temperature, air humidity, wind power size and illumination intensitySDetermining a final predicted value U of the sub-transient potential parameter of the photovoltaic power station;
the calculation formula of the final predicted value U of the photovoltaic power station sub-transient potential parameter is as follows:
Figure GDA0002688838250000023
wherein u is1And n is the rated voltage of the photovoltaic array, and the number of the photovoltaic cell panels.
The invention has the beneficial effects that:
the invention provides a photovoltaic power station sub-transient potential parameter prediction method, which aims at the photovoltaic power station sub-transient potential parameter prediction and the functional relation between the output magnitude and the potential to carry out detailed mathematical algorithm design. And the factors influencing the sub-transient potential are analyzed, the prediction of the sub-transient potential parameters of the photovoltaic power station is improved to a greater extent, and the calculated value reaches a true value. And the arrangement of the corresponding power generation plan is carried out under the condition of reaching the true value, so that the economic cost is reduced.
Drawings
Fig. 1 is a flowchart of a photovoltaic power station sub-transient potential parameter prediction method.
Detailed Description
In the weather influence factors of the photovoltaic power station, in order to more accurately predict the sub-transient potential parameters, the weather of the photovoltaic power station is divided into a sunny day, a cloudy day and a rainy day, the sub-transient potential parameters are respectively predicted according to the output condition of the photovoltaic power station under different weather conditions, and the corresponding influence degree is calculated.
The output of the photovoltaic power station can influence the prediction of the sub-transient potential parameter, the sub-transient potential parameter is analyzed by analyzing the motion state of PN electrons of the photovoltaic power station under different output, the current of the photovoltaic power station does not change along with the change of the working state under the condition that the illumination intensity is unchanged, and the solar cell can be regarded as a constant current source at the moment. When the illumination intensity changes, the solar cell is made of materials with certain resistivity because the panel fluctuates greatly along with the change of the illumination intensity, the current flows through the solar cell and has certain loss, and when different currents flow through, the loss amount of the current is different, so that the sub-transient potential parameter can be influenced. In this respect, the design adopts a research method based on the characteristics of the photovoltaic itself to perform corresponding sub-transient potential parameter analysis.
The method is characterized in that the photovoltaic power station environmental conditions have the influence on the sub-transient parameter prediction, and the influence is mainly represented by the current environmental temperature, air humidity, wind power and illumination intensity.
A photovoltaic power station sub-transient potential parameter prediction method is shown in FIG. 1, and comprises the following steps:
step 1: acquiring actual output power P of the photovoltaic power station under standard weather conditions, rated voltage U of each photovoltaic cell panel in the photovoltaic power station and rated power P' of the photovoltaic power station, and determining a predicted value U of transient potential parameter of the photovoltaic power station under each weather influence factor state according to different weather influence factorsqiWherein i is a weather influence factor;
in the present embodiment, the actual output power P is 367MW, the rated power P' of the photovoltaic power plant is 407MW, and the rated voltage u of each photovoltaic cell panel in the photovoltaic power plant is 36V.
The weather influence factor is: sunny day i-1, cloudy day i-2, cloudy day i-3, rainy day i-4.
Photovoltaic power station transient state electric potential parameter predicted value U under each weather influence factor stateqiAs follows:
photovoltaic power station transient potential parameter predicted value U under sunny stateq1The formula (2) is shown in formula (1):
Figure GDA0002688838250000031
photovoltaic power station transient potential parameter predicted value U in multi-cloud stateq2The formula (2) is shown as follows:
Figure GDA0002688838250000032
photovoltaic power station transient potential parameter predicted value U in cloudy stateq3The formula (3) is shown as follows:
Figure GDA0002688838250000033
photovoltaic power station transient potential parameter predicted value U in rainy day stateq4The formula (4) is shown as follows:
Figure GDA0002688838250000041
step 2: determining the predicted value U of the sub-transient potential parameter of the photovoltaic power station at different PN junction temperatures according to the function of the output of the photovoltaic cell panel under the standard weather condition along with the change of timeP；
In this embodiment, the function P0(t) of the variation of the photovoltaic panel output with time t under the standard weather condition is as shown in equation (5):
P0(t)＝34t2+t+12(0≤t≤23) (5)
in this embodiment, the temperature T of the PN junction in the photovoltaic cell panel is 50 degrees celsius, the transmission resistance r of the power transmission line is 100 Ω, the number n of the photovoltaic cell panels is 1000, the boltzmann constant k is 0.79, and the predicted value U of the sub-transient potential parameter of the photovoltaic cell station at different PN junction temperatures isPIs represented by equation (6):
Figure GDA0002688838250000042
and step 3: determining a photovoltaic power station sub-transient potential parameter predicted value U under the conditions of current environment temperature, air humidity, wind power and illumination intensityS；
In this embodiment, the illumination intensity D is 600w/h and the current ambient temperature T226 ℃, air humidity H0.6, wind power V30 m/min, and photovoltaic power station sub-transient potential parameter prediction value U under the current environment temperature, air humidity, wind power and illumination intensitySIs represented by equation (7):
Figure GDA0002688838250000043
and 4, step 4: according to the photovoltaic power station transient potential parameter predicted value U under each weather influence factor stateqiPhotovoltaic power station sub-transient potential parameter predicted value U under different PN junction temperaturesPCurrent ambient temperature, air humidity, wind power level and illumination intensityPhotovoltaic power station sub-transient potential parameter predicted value U under degreeSDetermining a final predicted value U of the sub-transient potential parameter of the photovoltaic power station;
the calculation formula of the final predicted value U of the photovoltaic power station sub-transient potential parameter is shown as the formula (8):
Figure GDA0002688838250000044
according to the fact mode, calculation shows that the method has high prediction precision on the sub-transient potential of the photovoltaic power station and meets the requirements.

Claims (4)

1. A photovoltaic power station sub-transient potential parameter prediction method is characterized by comprising the following steps:
step 1: acquiring actual output power P of the photovoltaic power station under standard weather conditions, rated voltage U of each photovoltaic cell panel in the photovoltaic power station and rated power P' of the photovoltaic power station, and determining a predicted value U of transient potential parameter of the photovoltaic power station under each weather influence factor state according to different weather influence factorsqiWherein i is a weather influence factor;
step 2: determining the predicted value U of the sub-transient potential parameter of the photovoltaic power station at different PN junction temperatures according to the function of the output of the photovoltaic cell panel under the standard weather condition along with the change of timeP；
And step 3: determining a photovoltaic power station sub-transient potential parameter predicted value U under the conditions of current environment temperature, air humidity, wind power and illumination intensityS；
And 4, step 4: according to the photovoltaic power station transient potential parameter predicted value U under each weather influence factor stateqiPhotovoltaic power station sub-transient potential parameter predicted value U under different PN junction temperaturesPPhotovoltaic power station sub-transient potential parameter predicted value U under current environment temperature, air humidity, wind power size and illumination intensitySDetermining a final predicted value U of the sub-transient potential parameter of the photovoltaic power station;
the calculation formula of the final predicted value U of the photovoltaic power station sub-transient potential parameter is as follows:
Figure FDA0002723746290000011
wherein u is1And n is the rated voltage of the photovoltaic array, and the number of the photovoltaic cell panels.
2. The photovoltaic power plant sub-transient potential parameter prediction method of claim 1, wherein the weather effect factor is: sunny day i is 1, cloudy day i is 2, cloudy day i is 3, rainy day i is 4;
photovoltaic power station transient state electric potential parameter predicted value U under each weather influence factor stateqiAs follows:
photovoltaic power station transient potential parameter predicted value U under sunny stateq1The calculation formula of (a) is as follows:
Figure FDA0002723746290000012
photovoltaic power station transient potential parameter predicted value U in multi-cloud stateq2The calculation formula of (a) is as follows:
Figure FDA0002723746290000013
photovoltaic power station transient potential parameter predicted value U in cloudy stateq3The calculation formula of (a) is as follows:
Figure FDA0002723746290000014
photovoltaic power station transient potential parameter predicted value U in rainy day stateq4The calculation formula of (a) is as follows:
Figure FDA0002723746290000021
3. the method for predicting the sub-transient potential parameters of the photovoltaic power plant of claim 1, wherein the predicted sub-transient potential parameter values U of the photovoltaic power plant at different PN junction temperaturesPThe calculation formula of (a) is as follows:
Figure FDA0002723746290000022
wherein, P0(T) is a function of the variation of the photovoltaic cell panel output with time T under the standard weather condition, T is the temperature of a PN junction in the photovoltaic cell panel, k is a Boltzmann constant, and r is the transmission resistance of the power transmission line.
4. The method of predicting the sub-transient potential parameters of a pv power plant of claim 1, wherein the sub-transient potential parameter prediction U for the pv power plant is based on the current ambient temperature, air humidity, wind power level, and illumination intensitySThe calculation formula of (a) is as follows:
Figure FDA0002723746290000023
wherein D is the illumination intensity, T2The current ambient temperature is H is the air humidity, and V is the wind power.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102013701A (en) * 2010-12-06 2011-04-13 青海电力科学试验研究院 Method for calculating photovoltaic power generation accepting capability of power grid of high-altitude region
CN103701152A (en) * 2014-01-15 2014-04-02 国家电网公司 Method and system for obtaining flicker transmission coefficient of grid connection of photovoltaic power stations
CN103825279A (en) * 2014-02-21 2014-05-28 华南理工大学 Micro-grid system voltage stability control method based on robust control
CN105184027A (en) * 2015-10-29 2015-12-23 山东大学 Power load modeling method based on interactive multi-model algorithm

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102013701A (en) * 2010-12-06 2011-04-13 青海电力科学试验研究院 Method for calculating photovoltaic power generation accepting capability of power grid of high-altitude region
CN103701152A (en) * 2014-01-15 2014-04-02 国家电网公司 Method and system for obtaining flicker transmission coefficient of grid connection of photovoltaic power stations
CN103825279A (en) * 2014-02-21 2014-05-28 华南理工大学 Micro-grid system voltage stability control method based on robust control
CN105184027A (en) * 2015-10-29 2015-12-23 山东大学 Power load modeling method based on interactive multi-model algorithm

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Observations of Transient ISS Floating Potential Variations during High Voltage Solar Array Operations;Willis E. M 等;《American Institute of Aeronautics and Astronautics》;20161231;第1-9页 *
分布式发电接入电网故障穿越控制及短路电流计算方法;王强钢;《中国博士学位论文全文数据库 工程科技Ⅱ辑》;20160115;第C042-117页 *

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