Summary of the invention
The object of the invention is the shortcoming overcoming above-mentioned prior art, provide a kind of realization that can realize and photovoltaic panel clean condition in photovoltaic plant is judged, help power station to formulate cleaning plan, there is the system and method for broader applications scope photovoltaic plant solar panel intelligence cleaning.
To achieve these goals, the system and method realizing the cleaning of photovoltaic plant solar panel intelligence of the present invention has following formation:
This realizes the system of photovoltaic plant solar panel intelligence cleaning, and its main feature is, described system comprises:
Environment harvester, in order to gather intensity of solar radiation and solar radiation quantity data;
Generating information collecting device, in order to gather actual power generation;
The communication server, in order to communicate between environment harvester and data processing server, between generating information collecting device and data processing server;
Data processing server, in order to calculate the theoretical generated energy of photovoltaic plant, theoretical gene-ration revenue and loss gene-ration revenue and to judge whether to need cleaning according to loss gene-ration revenue;
Display terminal, in order to show cleaning suggestion to user.
The invention still further relates to a kind of method realizing the cleaning of photovoltaic plant solar panel intelligence based on described system, it is characterized in that, described method comprises the following steps:
(1) the environment harvester described in gathers intensity of solar radiation and solar radiation quantity data;
(2) the generating information collecting device described in gathers actual power generation;
(3) data processing server described in calculates the theoretical generated energy of photovoltaic plant, theoretical gene-ration revenue and loss gene-ration revenue and judges whether to need cleaning according to loss gene-ration revenue;
(4) display terminal described in shows cleaning suggestion to user.
Preferably, described step (3) comprises the following steps:
(3-1) data processing server described in calculates the theoretical generated energy of photovoltaic plant according to described solarimeter;
(3-2) data processing server described in calculates theoretical gene-ration revenue and actual power income according to described theoretical generated energy;
(3-3) data processing server described in calculates electric power station system efficiency according to described actual power generation and theoretical generated energy;
(3-4) data processing server described in calculates the difference of the efficiency of the same day and proxima luce (prox. luc), if efficiency difference is greater than certain threshold value, then using this calculating day as the improved efficiency date;
(3-5) data processing server described in calculates from the last improved efficiency date to the accumulating losses gene-ration revenue on the same day;
(3-6) data processing server described in judges to determine to need cleaning when accumulating losses gene-ration revenue is greater than systemic presupposition loss threshold value.
More preferably, described step (3-1) is specially:
Described data processing server is according to the theoretical generated energy of following formulae discovery photovoltaic plant:
E=D×S×η;
Wherein, D is solar radiation quantity, and E is theoretical generated energy, and S is photovoltaic plant solar panel area, and η is battery component conversion ratio, and N is the number of described environment harvester collection point on the same day, G
1the irradiation value of environment harvester first collection point on the same day described in expression, G
nthe irradiation value of last collection point, environment harvester collection point on the same day described in expression.
More preferably, described step (3-2) is specially:
Described data processing server is according to the theoretical gene-ration revenue of following formulae discovery and actual power income:
Theoretical gene-ration revenue=theoretical generated energy × power station unit rate for incorporation into the power network;
Actual power income=actual power generation × power station unit rate for incorporation into the power network.
More preferably, described step (3-3) is specially:
Described data processing server is according to following formulae discovery electric power station system efficiency:
Electric power station system efficiency=actual power generation/theoretical generated energy.
More preferably, described step (3-5) is specially:
Described data processing server according to following formulae discovery from the last improved efficiency date to the accumulating losses gene-ration revenue on the same day:
Wherein, T is the accumulating losses gene-ration revenue to the same day from the last improved efficiency date, t
1for the last improved efficiency date, t
nfor calculating the date on the same day, M
2for theoretical gene-ration revenue every day, M
1for actual power income every day.
Have employed the system and method realizing the cleaning of photovoltaic plant solar panel intelligence in this invention, " theoretical generated energy " concept is introduced in the photovoltaic panel cleaning analysis of photovoltaic plant; The clean condition of photovoltaic panel is carried out quantitative analysis, by data processing server, Logic judgment is carried out to the situation in power station, to user's intelligently pushing cleaning plan, there is range of application widely.
Detailed description of the invention
In order to more clearly describe technology contents of the present invention, conduct further description below in conjunction with specific embodiment.
The technical program essentially describes one and judges the photovoltaic plant optimal clean moment, helps power station operation maintenance personnel to formulate the intelligent cleaning program of cleaning plan.
Native system is made up of environment harvester, generating information collecting device, the communication server, data processing server and display terminal.Environment harvester primary responsibility gathers solar irradiation intensity and solar radiation quantity data, generating information collecting device mainly gathers actual power generation, data processing server is for calculating the theoretical generated energy of photovoltaic plant, theoretical gene-ration revenue, loss gene-ration revenue, display terminal completing user and back-end data mutual, and the final cleaning suggestion provided to user's display systems to user.
At information gathering end, environment information acquisition device gathers intensity of solar radiation information with certain sampling rate, and after the communication server, the illumination intensity information received in a day is carried out accumulation calculating by backstage, obtains the solar radiation total amount in photovoltaic panel inclined plane.
1, the information that collects of environment information acquisition device
A) radiation intensity (G): radiation intensity is the power information collected, representative is often radiated in a flash the intensity of solar energy in photovoltaic panel, and unit is w/m
2.
B) actual power generation (R): in photovoltaic plant, solar energy is converted to all generated energy exchanging and export by assembly in a day;
2, user needs the parameter that configures in systems in which
A) battery component conversion ratio (η): dissimilar assembly conversion efficiency is different, is divided into monocrystalline silicon, polysilicon and film type, needs to be configured in the face of it at the configuration page of display terminal;
B) photovoltaic plant photovoltaic panel area (S): the power within the scope of what irradiation intensity or amount of radiation described is all square metre or energy, thus square formation area can affect received energy number;
C) power station plan cleaning fund (P)
System carries out background analysis when calculating, and can arrange difference, be pushed to the cleaning plan that user is different according to this value.
3, the calculative data of data processing server are as follows:
A) theoretical generated energy (E):
E=D×S×η;
B) wherein the account form of amount of radiation D is:
The first term of summation gets first the irradiation value in a day, collector sent, and last item gets the irradiation value that in a day, collector send finally.N is the number of all collection points collected.
The unit of D is kWh/m
2.
C) every day actual power income M
1
Be multiplied with power station unit rate for incorporation into the power network by actual power generation.
D) every day theoretical gene-ration revenue M
2
Be multiplied with power station unit rate for incorporation into the power network by theoretical generated energy.
E) electric power station system efficiency PR
PR=J/E;
J is photovoltaic plant electricity volume; E is theoretical generated energy.Data processing server calculates the difference of the PR of the same day and proxima luce (prox. luc), if PR difference is greater than certain threshold value, then this calculating day is improved the some date as PR, represents Ben power station and carried out cleaning.
Use PR to improve a little, the impact of rainy weather on photovoltaic panel can be excluded, the situation of rainy situation and manual cleaning is done shielding processing to system.
4, decision logic is cleaned
Data processing server carries out hind computation from evening every day, to the daily loss gene-ration revenue sum on the same day calculating the date having PR improvement point from the last time every night
Be accumulating losses gene-ration revenue.
Wherein t
1for the last time has the date that PR improves day, t
icalculate the date on the same day.
PR improves some algorithm:
Data processing server calculates the difference of the PR of the same day and proxima luce (prox. luc), if be greater than certain threshold value, then assert that this day occurs that PR improves a little.
When
During T >=P, P is " power station plan cleaning fund ", needs systemic presupposition.
Display terminal can point out user to clean.
According to above-mentioned principle, the method realizing the cleaning of photovoltaic plant solar panel intelligence of the present invention comprises the following steps:
(1) the environment harvester described in gathers intensity of solar radiation and solar radiation quantity data;
(2) the generating information collecting device described in gathers actual power generation;
(3) data processing server described in calculates the theoretical generated energy of photovoltaic plant, theoretical gene-ration revenue and loss gene-ration revenue and judges whether to need cleaning according to loss gene-ration revenue;
(4) display terminal described in shows cleaning suggestion to user.
In one preferably embodiment, described step (3) comprises the following steps:
(3-1) data processing server described in calculates the theoretical generated energy of photovoltaic plant according to described solarimeter;
(3-2) data processing server described in calculates theoretical gene-ration revenue and actual power income according to described theoretical generated energy;
(3-3) data processing server described in calculates electric power station system efficiency according to described actual power generation and theoretical generated energy;
(3-4) electric power station system efficiency is risen to the date of systemic presupposition efficiency threshold as the improved efficiency date by the data processing server described in;
(3-5) data processing server described in calculates from the last improved efficiency date to the accumulating losses gene-ration revenue on the same day;
(3-6) data processing server described in judges to determine to need cleaning when accumulating losses gene-ration revenue is greater than systemic presupposition loss threshold value.
In a kind of better embodiment, described step (3-1) is specially:
Described data processing server is according to the theoretical generated energy of following formulae discovery photovoltaic plant:
E=D×S×η;
Wherein, D is solar radiation quantity, and E is theoretical generated energy, and S is photovoltaic plant solar panel area, and η is battery component conversion ratio, and N is the number of described environment harvester collection point on the same day, G
1the irradiation value of environment harvester first collection point on the same day described in expression, G
nthe irradiation value of last collection point, environment harvester collection point on the same day described in expression.
In a kind of better embodiment, described step (3-2) is specially:
Described data processing server is according to the theoretical gene-ration revenue of following formulae discovery and actual power income:
Theoretical gene-ration revenue=theoretical generated energy × power station unit rate for incorporation into the power network;
Actual power income=actual power generation × power station unit rate for incorporation into the power network.
In a kind of better embodiment, described step (3-3) is specially:
Described data processing server is according to following formulae discovery electric power station system efficiency:
Electric power station system efficiency=actual power generation/theoretical generated energy.
In a kind of better embodiment, described step (3-5) is specially:
Described data processing server according to following formulae discovery from the last improved efficiency date to the accumulating losses gene-ration revenue on the same day:
Wherein, T is the accumulating losses gene-ration revenue to the same day from the last improved efficiency date, t
1for the last improved efficiency date, t
nfor calculating the date on the same day, M
2for theoretical gene-ration revenue every day, M
1for actual power income every day.
Have employed the system and method realizing the cleaning of photovoltaic plant solar panel intelligence in this invention, " theoretical generated energy " concept is introduced in the photovoltaic panel cleaning analysis of photovoltaic plant; The clean condition of photovoltaic panel is carried out quantitative analysis, by data processing server, Logic judgment is carried out to the situation in power station, to user's intelligently pushing cleaning plan, there is range of application widely.
In this description, the present invention is described with reference to its specific embodiment.But, still can make various amendment and conversion obviously and not deviate from the spirit and scope of the present invention.Therefore, description and accompanying drawing are regarded in an illustrative, rather than a restrictive.