CN113570267A - Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation - Google Patents

Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation Download PDF

Info

Publication number
CN113570267A
CN113570267A CN202110881928.5A CN202110881928A CN113570267A CN 113570267 A CN113570267 A CN 113570267A CN 202110881928 A CN202110881928 A CN 202110881928A CN 113570267 A CN113570267 A CN 113570267A
Authority
CN
China
Prior art keywords
power generation
photovoltaic power
day
moment
time interval
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110881928.5A
Other languages
Chinese (zh)
Inventor
姜春林
宗立娟
周颖
叶陈生
张传钧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fuzhou One Sun Power Consulting Co ltd
Original Assignee
Fuzhou One Sun Power Consulting Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fuzhou One Sun Power Consulting Co ltd filed Critical Fuzhou One Sun Power Consulting Co ltd
Priority to CN202110881928.5A priority Critical patent/CN113570267A/en
Publication of CN113570267A publication Critical patent/CN113570267A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a method and a terminal for determining the spontaneous self-use proportion of distributed photovoltaic power generation, which are used for obtaining the maximum output power of a photovoltaic power generation system, the current area day-average sunshine time interval, the current area day-average sunshine time peak value and the current area day-average sunshine duration to obtain the photovoltaic power generation power output function of the photovoltaic power generation system in a sunny day; calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function; acquiring a typical daily load curve of a user, and acquiring the actual load power of the user at each moment in a daily average sunshine time interval of a current area according to the typical daily load curve; and obtaining the daily generated energy spontaneous self-use proportion based on the photovoltaic power generation power at each moment and the actual load power at each moment. According to the method, the spontaneous utilization ratio of the daily generated energy can be obtained more conveniently and accurately without carrying out modeling analysis on a real-time simulation system.

Description

Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation
Technical Field
The invention relates to the technical field of new energy power generation, in particular to a method and a terminal for determining the spontaneous self-use proportion of distributed photovoltaic power generation.
Background
According to the 3060 target of China, China can improve the autonomous contribution of China, and adopt more powerful policies and measures, the carbon dioxide emission strives to reach the peak value 2030 years ago, and strives to realize carbon neutralization 2060 years ago. By 2030, the total carbon dioxide emission of domestic production in China units is reduced by more than 65% compared with 2005, the proportion of non-fossil energy to primary energy consumption is about 25%, the forest storage amount is increased by 60 billion cubic meters compared with 2005, and the total installed capacity of wind power and solar power generation is more than 12 billion kilowatts.
At present, a large number of industrial and commercial factory building roofs can develop distributed photovoltaic power generation systems in China, the spontaneous self-use proportion index of distributed photovoltaic power generation plays a key role in the project development stage, and how to accurately evaluate the spontaneous self-use proportion of each distributed photovoltaic power generation system becomes a key work of a sponsor and a consultant. The spontaneous self-use proportion is defined as the proportion of the part consumed by an enterprise in the whole grid-connected generating capacity of the distributed photovoltaic power station in a certain period, the spontaneous self-use proportion at any moment is influenced by two aspects of photovoltaic power generation output and power load, and in the process of determining the spontaneous self-use proportion, the existing real-time simulation system is adopted for modeling and analyzing, so that time and labor are wasted, and the method is not convenient enough.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the terminal for determining the spontaneous self-use proportion of the distributed photovoltaic power generation are provided, so that the spontaneous self-use proportion of the distributed photovoltaic power generation can be determined more conveniently and accurately.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method of determining a proportion of spontaneous self-usage of distributed photovoltaic power generation, comprising:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]Day of the current regionAnd obtaining a photovoltaic power generation power output function P of the photovoltaic power generation system in a sunny day by using the peak value T of the uniform sunshine time and the daily uniform sunshine duration L of the current area:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S3, obtaining a typical daily load curve of a user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
and step S4, obtaining a daily generated energy self-utilization ratio based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area daily average sunshine time interval and the actual load power of the user at each moment in the current area daily average sunshine time interval.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a terminal for determining a self-utilization rate of distributed photovoltaic power generation, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]The peak value T of the average sunshine time of the current area and the average sunshine duration L of the current area are obtained, and a photovoltaic power generation power output function P of the photovoltaic power generation system in a sunny day is obtained:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S3, obtaining a typical daily load curve of a user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
and step S4, obtaining a daily generated energy self-utilization ratio based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area daily average sunshine time interval and the actual load power of the user at each moment in the current area daily average sunshine time interval.
The invention has the beneficial effects that: the output power of a photovoltaic power generation system is directly obtained through the photovoltaic power generation power output function, the photovoltaic power generation power output function and an actual photovoltaic power generation curve have high shape consistency, the extreme value of the function is the maximum output power of the photovoltaic power generation system, the area obtained through the integral of the function is compared with the corresponding actual load power, and therefore the daily generated energy spontaneous self-use proportion can be obtained more conveniently and accurately without real-time simulation system modeling analysis.
Drawings
Fig. 1 is a schematic flow chart of a method for determining a spontaneous self-usage ratio of distributed photovoltaic power generation according to an embodiment of the present invention;
fig. 2 is a schematic configuration diagram of a photovoltaic power generation system according to an embodiment of the present invention;
fig. 3 is a schematic curve diagram of a photovoltaic power output function of a photovoltaic power generation system in a sunny day according to an embodiment of the present invention;
FIG. 4 is a graph illustrating a photovoltaic power output function of a photovoltaic power generation system in rainy weather according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal for determining a spontaneous self-use ratio of distributed photovoltaic power generation according to an embodiment of the present invention.
Description of reference numerals:
1. a terminal for determining the spontaneous self-use proportion of distributed photovoltaic power generation; 2. a processor; 3. a memory.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1 to 4, a method for determining a spontaneous self-usage ratio of distributed photovoltaic power generation includes:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]The peak value T of the average sunshine time of the current area and the average sunshine duration L of the current area are obtained, and a photovoltaic power generation power output function P of the photovoltaic power generation system in a sunny day is obtained:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S3, obtaining a typical daily load curve of a user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
and step S4, obtaining a daily generated energy self-utilization ratio based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area daily average sunshine time interval and the actual load power of the user at each moment in the current area daily average sunshine time interval.
From the above description, the beneficial effects of the present invention are: the output power of the photovoltaic power generation system is directly obtained through the photovoltaic power generation output function at each moment, the photovoltaic power generation output function and an actual photovoltaic power generation curve have high shape consistency, the extreme value of the function is the maximum output power of the photovoltaic power generation system, and then the area obtained through the integral of the function is compared with the corresponding actual load power, so that the spontaneous utilization proportion of the daily generated energy can be obtained more conveniently and accurately without carrying out modeling analysis on a real-time simulation system.
Further, the step S2 specifically includes:
calculating to obtain first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval on a sunny day according to the photovoltaic power generation power output function P;
obtaining a conversion ratio of rainy weather to sunny weather, and obtaining a second photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the rainy weather according to the conversion ratio and the first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the sunny weather;
acquiring a first time length proportion when the sun is sunny and a second time length proportion when the sun is rainy in a day-to-day sunshine time interval of the current area, and converting according to the first photovoltaic power generation power, the first time length proportion, the second photovoltaic power generation power and the second time length proportion to obtain the photovoltaic power generation power of the photovoltaic power generation system at each moment in the day-to-day sunshine time interval of the current area;
the step S3 specifically includes:
acquiring a typical daily load curve of a user, and acquiring a first actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the typical daily load curve;
acquiring a non-productive load curve of a rest day of a user except a typical production day, and obtaining a second actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the non-productive load curve;
and obtaining a first day number ratio example of a typical production day time and a second day number ratio of a rest day time of a user, and converting according to the first actual load power, the first day number ratio, the second actual load power and the second day number ratio to obtain the actual load power of the user at each moment in the daily average sunshine time interval of the current area.
From the above description, a certain conversion calculation is performed on rainy weather, so that the photovoltaic power generation power in sunny days and rainy days is comprehensively considered, and more accurate photovoltaic power generation power is obtained; similarly, the actual load power during production and rest is comprehensively considered by a non-productive load curve of a user during a rest day of vacation or overhaul stoppage, so that the finally obtained daily generated energy spontaneous self-using proportion is more real and accurate.
Further, the step S4 is followed by:
step S5, determining the project investment profitability R of the photovoltaic power generation system established by the user:
R=K*P/C,
P=P1*S+P2*(1-S),
C=C1+C2=C1∑/W+C2∑/W;
k is a proportionality coefficient, P is the comprehensive on-line electricity price of the photovoltaic power station, P1 is the contract energy management electricity price of an enterprise, P2 is the electricity price of the part of electric quantity of the public network on the surplus electricity, S is the spontaneous self-using proportion of daily generated energy and is reduced in a nonlinear way along with the increase of W, C is the single-watt construction cost of the photovoltaic power station, and C is the self-using proportion of daily generated energy1Partial single-watt investment for grid-connected access, C1∑For partial total investment of grid-connected access and less variation with W, C2For a single watt investment in the photovoltaic sector, C2∑W is the installed capacity of the photovoltaic power station and is lower than the maximum installed capacity;
and step S6, calculating the corresponding optimal installed capacity when the project investment profitability R is the highest according to the relation between the project investment profitability R and the installed capacity W of the photovoltaic power station.
According to the description, the optimal installed capacity corresponding to the highest project investment yield R of the user can be obtained through the relationship between the spontaneous self-use proportion of the daily generated energy and the maximum output power of the photovoltaic power generation system and the installed capacity of the photovoltaic power station, and therefore the better project economy of the user can be achieved when the photovoltaic power generation system is established.
Further, the step S4 specifically includes:
obtaining the consumption proportion of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval and the actual load power of the user at each moment in the current area day-average sunshine time interval, and averaging the consumption proportion at each moment to obtain the daily generated energy spontaneous self-use proportion;
or obtaining the absorption power generation amount of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval and the actual load power of the user at each moment in the current region day-average sunshine time interval, and taking the ratio between the numerical value obtained by adding the absorption power generation amounts at each moment and the numerical value obtained by adding the photovoltaic power generation power as the daily power generation amount self-utilization ratio.
As can be seen from the above description, the spontaneous usage ratio of the daily power generation amount can be obtained quickly by the consumption ratio or the consumption power generation amount.
Further, the step S3 of acquiring the typical daily load curve of the user specifically includes:
the method comprises the steps of obtaining hour electricity consumption on a plurality of typical production days in real time to obtain a typical daily load curve of a user, wherein the typical production days are normal production days without overhaul, overtime and rest.
From the above description, it can be known that the typical daily load curve of the user can be obtained by manually recording the hourly power consumption of a plurality of typical production days, and compared with other prior art, the method is simpler and more practical, is applicable to all project situations, and has sufficiently accurate data.
Referring to fig. 2 to 5, a terminal for determining a self-utilization ratio of distributed photovoltaic power generation includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the following steps:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]The peak value T of the average sunshine time of the current area and the average sunshine duration L of the current area are obtained, and a photovoltaic power generation power output function P of the photovoltaic power generation system in a sunny day is obtained:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S3, obtaining a typical daily load curve of a user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
and step S4, obtaining a daily generated energy self-utilization ratio based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area daily average sunshine time interval and the actual load power of the user at each moment in the current area daily average sunshine time interval.
From the above description, the beneficial effects of the present invention are: the output power of the photovoltaic power generation system is directly obtained through the photovoltaic power generation output function at each moment, the photovoltaic power generation output function and an actual photovoltaic power generation curve have high shape consistency, the extreme value of the function is the maximum output power of the photovoltaic power generation system, and then the area obtained through the integral of the function is compared with the corresponding actual load power, so that the spontaneous utilization proportion of the daily generated energy can be obtained more conveniently and accurately without carrying out modeling analysis on a real-time simulation system.
Further, the step S2 specifically includes:
calculating to obtain first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval on a sunny day according to the photovoltaic power generation power output function P;
obtaining a conversion ratio of rainy weather to sunny weather, and obtaining a second photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the rainy weather according to the conversion ratio and the first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the sunny weather;
acquiring a first time length proportion when the sun is sunny and a second time length proportion when the sun is rainy in a day-to-day sunshine time interval of the current area, and converting according to the first photovoltaic power generation power, the first time length proportion, the second photovoltaic power generation power and the second time length proportion to obtain the photovoltaic power generation power of the photovoltaic power generation system at each moment in the day-to-day sunshine time interval of the current area;
the step S3 specifically includes:
acquiring a typical daily load curve of a user, and acquiring a first actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the typical daily load curve;
acquiring a non-productive load curve of a rest day of a user except a typical production day, and obtaining a second actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the non-productive load curve;
and obtaining a first day number ratio example of a typical production day time and a second day number ratio of a rest day time of a user, and converting according to the first actual load power, the first day number ratio, the second actual load power and the second day number ratio to obtain the actual load power of the user at each moment in the daily average sunshine time interval of the current area.
From the above description, a certain conversion calculation is performed on rainy weather, so that the photovoltaic power generation power in sunny days and rainy days is comprehensively considered, and more accurate photovoltaic power generation power is obtained; similarly, the actual load power during production and rest is comprehensively considered by a non-productive load curve of a user during a rest day of vacation or overhaul stoppage, so that the finally obtained daily generated energy spontaneous self-using proportion is more real and accurate.
Further, the step S4 is followed by:
step S5, determining the project investment profitability R of the photovoltaic power generation system established by the user:
R=K*P/C,
P=P1*S+P2*(1-S),
C=C1+C2=C1∑/W+C2∑/W;
k is a proportionality coefficient, P is the comprehensive on-line electricity price of the photovoltaic power station, P1 is the contract energy management electricity price of an enterprise, P2 is the electricity price of the part of electric quantity of the public network on the surplus electricity, S is the spontaneous self-using proportion of daily generated energy and is reduced in a nonlinear way along with the increase of W, C is the single-watt construction cost of the photovoltaic power station, and C is the self-using proportion of daily generated energy1Partial single-watt investment for grid-connected access, C1∑For partial total investment of grid-connected access and less variation with W, C2For a single watt investment in the photovoltaic sector, C2∑W is the installed capacity of the photovoltaic power station and is lower than the maximum installed capacity;
and step S6, calculating the corresponding optimal installed capacity when the project investment profitability R is the highest according to the relation between the project investment profitability R and the installed capacity W of the photovoltaic power station.
According to the description, the optimal installed capacity corresponding to the highest project investment yield R of the user can be obtained through the relationship between the spontaneous self-use proportion of the daily generated energy and the maximum output power of the photovoltaic power generation system and the installed capacity of the photovoltaic power station, and therefore the better project economy of the user can be achieved when the photovoltaic power generation system is established.
Further, the step S4 specifically includes:
obtaining the consumption proportion of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval and the actual load power of the user at each moment in the current area day-average sunshine time interval, and averaging the consumption proportion at each moment to obtain the daily generated energy spontaneous self-use proportion;
or obtaining the absorption power generation amount of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval and the actual load power of the user at each moment in the current region day-average sunshine time interval, and taking the ratio between the numerical value obtained by adding the absorption power generation amounts at each moment and the numerical value obtained by adding the photovoltaic power generation power as the daily power generation amount self-utilization ratio.
As can be seen from the above description, the spontaneous usage ratio of the daily power generation amount can be obtained quickly by the consumption ratio or the consumption power generation amount.
Further, the step S3 of acquiring the typical daily load curve of the user specifically includes:
the method comprises the steps of obtaining hour electricity consumption on a plurality of typical production days in real time to obtain a typical daily load curve of a user, wherein the typical production days are normal production days without overhaul, overtime and rest.
At present, a large number of industrial and commercial factory building roofs can develop distributed photovoltaic power generation systems in China, the spontaneous self-use proportion index of distributed photovoltaic power generation plays a key role in the project development stage, and how to accurately evaluate the spontaneous self-use proportion of each distributed photovoltaic power generation system becomes a key work of a sponsor and a consultant. By adopting the method of the embodiment, rapid analysis and judgment can be made on the 'spontaneous self-use' proportion of the distributed photovoltaic power generation project, the method has sufficient accuracy, the decision requirements of the investor are met, and the project consultation and execution efficiency is greatly improved, which is specifically described as follows.
Referring to fig. 1 to 4, a first embodiment of the present invention is:
a method of determining a proportion of spontaneous self-usage of distributed photovoltaic power generation, comprising:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]The peak value T of the average sunshine time of the current area and the average sunshine duration L of the current area obtain a photovoltaic power generation power output function P of the photovoltaic power generation system in a sunny day:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
the configuration structure of the photovoltaic power generation system is shown in fig. 2, and the photovoltaic power generation system and the power distribution system in the enterprise are connected to a public power grid together. As shown in fig. 3, the photovoltaic power generation curve corresponding to the photovoltaic power generation system has a certain regularity, especially in a sunny weather, the photovoltaic power generation curve has a functional relationship with the installed photovoltaic capacity and the time, and through statistics and analysis of a large amount of data, the photovoltaic power generation curve and the power function y ═ x is summarized2The shape of the photovoltaic grid is highly consistent, the extreme value of the function is the maximum photovoltaic output, and if the system efficiency is eta (generally 80 percent)<η<90%), the maximum output power of the photovoltaic system is eta times of the installed photovoltaic capacity, the x abscissa is the time t, and t is a 24-system time value. In the present embodiment, the sunshine time interval of the current region is from 6 o 'clock earlier to 18 o' clock laterIn other words, T0 is 6, T1 is 18, the peak value T of the average sunshine time of the current area is 12, and the average sunshine duration L of the current area is 12, so that the photovoltaic power output function in the fine day in the embodiment is constructed:
P=Pmax[1-*(t-T)2/36];
in the embodiment, the installed photovoltaic capacity is 1834kW, and the system efficiency η is 80%, that is, the maximum output power P of the photovoltaic power generation systemmax1467.2 kW.
In other embodiments, the adjustment may be made according to the local day-to-day sunshine time interval of the project, which is not described herein.
In this embodiment, the user is an enterprise that needs the photovoltaic power generation system.
Step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
therefore, the photovoltaic power generation power output function is substituted into each time between 6 o 'clock and 18 o' clock of the current area day-to-day sunshine time interval, and the integrated area calculation is carried out to obtain the photovoltaic power generation power of each time in the current area day-to-day sunshine time interval of the photovoltaic power generation system in fine days.
Step S3, obtaining a typical daily load curve of the user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
in the present embodiment, a typical daily load curve obtaining method:
1) the typical daily load curve is obtained by recording data through automatic metering gateway equipment, and the method is simple, convenient and accurate, but is limited by the condition of enterprise equipment and is generally difficult to obtain;
2) the average daily load is calculated by the annual or monthly electricity consumption and the electricity consumption time, namely the average daily load P is the annual electricity consumption/(365 multiplied by 24), and the method is only estimation and is more suitable for preliminary analysis and judgment in a project screening stage.
In this embodiment, the step S3 of acquiring the typical daily load curve of the user specifically includes:
and acquiring the hour power consumption on a plurality of typical production days in real time to obtain a typical daily load curve of the user, wherein the typical production days are normal production days without overhaul, overtime and rest.
The typical daily load curve of the user is obtained by manually recording the hourly power consumption of a plurality of typical production days, and compared with other prior art, the method is simpler and more practical, is suitable for all project conditions, and has enough accurate data.
And step S4, obtaining the daily generated energy spontaneous self-using proportion based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval and the actual load power of the user at each moment in the current area day-average sunshine time interval.
Wherein, step S4 specifically includes:
obtaining the consumption proportion of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval and the actual load power of the user at each moment in the current area day-average sunshine time interval, and averaging the consumption proportion at each moment to obtain the daily generated energy spontaneous self-consumption proportion;
or the consumed power generation amount of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval is obtained based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval and the actual load power of the user at each moment in the current region day-average sunshine time interval, and the proportion between the numerical value obtained by adding the consumed power generation amounts at each moment and the numerical value obtained by adding the photovoltaic power generation power is used as the daily power generation amount self-utilization proportion.
In combination with the above, in this embodiment, as shown in table 1, a spreadsheet tool is used to calculate the output of the photovoltaic power output function in hours from 6 points earlier to 18 points later, typical daily load curve hour data is filled into the spreadsheet, the area obtained by integrating the power generation curve for any small time period is analyzed to compare with the area obtained by integrating the load curve for the time period, the consumption proportion in each small time period in the day is determined, and the spontaneous consumption proportion of the daily power generation is finally obtained.
As shown in Table 1, the time sequence 6-7 refers to the time interval 6:00-7:00, and other time sequences are equivalent. That is, as is clear from table 1, the daily generated energy spontaneous consumption rate in this example is 41.24%.
TABLE 1 spontaneous self-use proportion calculation table of daily generated energy of distributed photovoltaic power generation system
Figure BDA0003192683380000121
Referring to fig. 1 to 4, a second embodiment of the present invention is:
on the basis of the first embodiment, the step S2 specifically includes:
step S21, calculating to obtain first photovoltaic power generation power of each moment of the photovoltaic power generation system in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S22, obtaining a conversion ratio of rainy weather to sunny weather, and obtaining second photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval of rainy weather according to the conversion ratio and the first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval of sunny weather;
as shown in fig. 4, in rainy days, the regularity is absent, the functions cannot be functionalized, the photovoltaic output is weakened in rainy days, the influence on the photovoltaic power generation is less than that in sunny days, and secondly, the ratio of the photovoltaic power generation in rainy days is higher than that in sunny days, and the calculation result is slightly conservative in case of neglecting the embodiment. In the embodiment, the conversion ratio is between 40% and 60%, for example, 50%, so that the calculation result is more accurate.
Step S23, acquiring a first time length proportion when the sun is sunny and a second time length proportion when the sun is rainy in the day-to-day sunshine time interval of the current area, and converting according to the first photovoltaic power generation power, the first time length proportion, the second photovoltaic power generation power and the second time length proportion to obtain the photovoltaic power generation power of the photovoltaic power generation system at each moment in the day-to-day sunshine time interval of the current area;
the first duration proportion and the second duration proportion are 1 together, and the specific numerical value of the first duration proportion and the second duration proportion is based on the statistical data of the region where the enterprise is located.
Step S3 specifically includes:
step S31, a typical daily load curve of the user is obtained, and first actual load power of the user at each moment in a daily average sunshine time interval of the current area is obtained according to the typical daily load curve;
step S32, acquiring a non-productive load curve of a rest day of the user except a typical production day, and acquiring a second actual load power of the user at each moment in a day-to-day sunshine time interval of the current area according to the non-productive load curve;
wherein, the business is vacated or is overhauld the off-stream day of rest and also has certain non-productive load of enterprise, and this numerical value of general mill is all very low, but this embodiment further takes into account to improve the accuracy of spontaneous proportion of using oneself.
And step S33, acquiring a first day ratio example of the typical production day time of the user and a second day ratio of the rest day time of the user, and converting according to the first actual load power, the first day ratio, the second actual load power and the second day ratio to obtain the actual load power of the user at each time in the daily average sunshine time interval of the current area.
Based on the fact that the typical production days and the rest days of different enterprises are different, the first day proportion and the second day proportion in the embodiment may be set according to the actual conditions of the enterprises.
The remaining steps are as described in the first embodiment.
Referring to fig. 1 to 4, a third embodiment of the present invention is:
on the basis of the first embodiment or the second embodiment, the investment income of a certain distributed photovoltaic project is mainly influenced by the construction cost of a single watt and the comprehensive internet surfing electricity price. The construction cost of a single watt generally reduces along with the increase of installed capacity, because the investment allocation cost of the power grid access part reduces along with the increase of the installed capacity. On the other hand, the main influencing factors of the comprehensive internet electricity price are the electricity price for the enterprise and the spontaneous self-use proportion, the higher the spontaneous self-use proportion is, the higher the comprehensive internet electricity price is, and the better the project economy is, then the step S4 is followed by:
step S5, determining project investment profitability R of the photovoltaic power generation system established by the user:
R=K*P/C,
P=P1*S+P2*(1-S),
C=C1+C2=C1∑/W+C2∑/W;
k is a proportionality coefficient, P is the comprehensive on-line electricity price of the photovoltaic power station, P1 is the contract energy management electricity price of an enterprise, P2 is the electricity price of the part of electric quantity of the public network on the surplus electricity, S is the spontaneous self-using proportion of daily generated energy and is reduced in a nonlinear way along with the increase of W, C is the single-watt construction cost of the photovoltaic power station, and C is the self-using proportion of daily generated energy1Partial single-watt investment for grid-connected access, C1∑For partial total investment of grid-connected access and less variation with W, C2For a single watt investment in the photovoltaic sector, C2∑W is the installed capacity of the photovoltaic power station and is lower than the maximum installed capacity;
and step S6, calculating the corresponding optimal installed capacity when the project investment yield R is the highest according to the relation between the project investment yield R and the installed capacity W of the photovoltaic power station.
That is, for a particular project, the maximum available machine capacity, the price of electricity consumed by the enterprise, the amount of electricity consumed by the enterprise, and the grid access conditions are substantially determined. According to the installed capacity of the photovoltaic power station, by combining the method of the first embodiment or the second embodiment, the spontaneous self-use proportion corresponding to the installed capacity can be quickly obtained, the comprehensive internet surfing electricity price is further calculated, and the corresponding project profitability can be calculated. And aiming at different installed capacities, calculating a plurality of yield values and finding out the optimal installed capacity corresponding to the highest yield.
Referring to fig. 5, a fourth embodiment of the present invention is:
a terminal 1 for determining the self-utilization ratio of distributed photovoltaic power generation comprises a memory 3, a processor 2 and a computer program which is stored on the memory 3 and can run on the processor 2, wherein the steps of the first embodiment, the second embodiment or the third embodiment are realized when the processor 2 executes the computer program.
In summary, according to the method and the terminal for determining the spontaneous utilization ratio of distributed photovoltaic power generation provided by the invention, the output power of the photovoltaic power generation system is directly obtained through the photovoltaic power generation output function at each moment, the photovoltaic power generation output function has high shape consistency with an actual photovoltaic power generation curve, the extreme value of the function is the maximum output power of the photovoltaic power generation system, and then the area obtained through the integral of the function is compared with the corresponding actual load power, so that the spontaneous utilization ratio of daily generated energy can be obtained more conveniently and more accurately without performing real-time simulation system modeling analysis. On the basis, the situation of rainy weather and rest day can be considered to obtain more accurate daily generated energy spontaneous self-using proportion. Meanwhile, the self-utilization proportion is rapidly and accurately obtained, so that the optimal installed capacity corresponding to the highest yield can be found out.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for determining the spontaneous self-use proportion of distributed photovoltaic power generation is characterized by comprising the following steps:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]The peak value T of the average day sunshine time of the current area and the average day sunshine duration L of the current area are obtained, and the photovoltaic power generation system is obtained in a sunny dayPhotovoltaic power generation power output function P:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S3, obtaining a typical daily load curve of a user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
and step S4, obtaining a daily generated energy self-utilization ratio based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area daily average sunshine time interval and the actual load power of the user at each moment in the current area daily average sunshine time interval.
2. The method for determining the spontaneous self-use proportion of distributed photovoltaic power generation according to claim 1, wherein the step S2 specifically comprises:
calculating to obtain first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval on a sunny day according to the photovoltaic power generation power output function P;
obtaining a conversion ratio of rainy weather to sunny weather, and obtaining a second photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the rainy weather according to the conversion ratio and the first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the sunny weather;
acquiring a first time length proportion when the sun is sunny and a second time length proportion when the sun is rainy in a day-to-day sunshine time interval of the current area, and converting according to the first photovoltaic power generation power, the first time length proportion, the second photovoltaic power generation power and the second time length proportion to obtain the photovoltaic power generation power of the photovoltaic power generation system at each moment in the day-to-day sunshine time interval of the current area;
the step S3 specifically includes:
acquiring a typical daily load curve of a user, and acquiring a first actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the typical daily load curve;
acquiring a non-productive load curve of a rest day of a user except a typical production day, and obtaining a second actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the non-productive load curve;
and obtaining a first day number ratio example of a typical production day time and a second day number ratio of a rest day time of a user, and converting according to the first actual load power, the first day number ratio, the second actual load power and the second day number ratio to obtain the actual load power of the user at each moment in the daily average sunshine time interval of the current area.
3. The method for determining the spontaneous self-use proportion of distributed photovoltaic power generation as claimed in claim 2, wherein the step S4 is followed by further comprising:
step S5, determining the project investment profitability R of the photovoltaic power generation system established by the user:
R=K*P/C,
P=P1*S+P2*(1-S),
C=C1+C2=C1∑/W+C2∑/W,
k is a proportionality coefficient, P is the comprehensive on-line electricity price of the photovoltaic power station, P1 is the contract energy management electricity price of an enterprise, P2 is the electricity price of the part of electric quantity of the public network on the surplus electricity, S is the spontaneous self-using proportion of daily generated energy and is reduced in a nonlinear way along with the increase of W, C is the single-watt construction cost of the photovoltaic power station, and C is the self-using proportion of daily generated energy1The investment of a part of single watt is accessed for the grid connection,C1∑for partial total investment of grid-connected access and less variation with W, C2For a single watt investment in the photovoltaic sector, C2∑W is the installed capacity of the photovoltaic power station and is lower than the maximum installed capacity;
and step S6, calculating the corresponding optimal installed capacity when the project investment profitability R is the highest according to the relation between the project investment profitability R and the installed capacity W of the photovoltaic power station.
4. The method for determining the spontaneous self-use proportion of distributed photovoltaic power generation according to claim 1, wherein the step S4 specifically comprises:
obtaining the consumption proportion of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval and the actual load power of the user at each moment in the current area day-average sunshine time interval, and averaging the consumption proportion at each moment to obtain the daily generated energy spontaneous self-use proportion;
or obtaining the absorption power generation amount of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval and the actual load power of the user at each moment in the current region day-average sunshine time interval, and taking the ratio between the numerical value obtained by adding the absorption power generation amounts at each moment and the numerical value obtained by adding the photovoltaic power generation power as the daily power generation amount self-utilization ratio.
5. The method for determining the spontaneous consumption proportion of distributed photovoltaic power generation as claimed in claim 1, wherein the step S3 of obtaining the typical daily load curve of the user specifically comprises:
the method comprises the steps of obtaining hour electricity consumption on a plurality of typical production days in real time to obtain a typical daily load curve of a user, wherein the typical production days are normal production days without overhaul, overtime and rest.
6. A terminal for determining the self-utilization rate of distributed photovoltaic power generation, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the following steps:
step S1, obtaining the maximum output power P of the photovoltaic power generation systemmaxCurrent area day-to-day sunshine time interval [ t ]0,t1]The peak value T of the average sunshine time of the current area and the average sunshine duration L of the current area are obtained, and a photovoltaic power generation power output function P of the photovoltaic power generation system in a sunny day is obtained:
P=Pmax[1-4*(t-T)2/L2]t∈[t0,t1],
T=(t1+t0)/2,
L=t1-t0
step S2, calculating the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval in sunny days according to the photovoltaic power generation power output function P;
step S3, obtaining a typical daily load curve of a user, and obtaining the actual load power of the user at each moment in the daily average sunshine time interval of the current area according to the typical daily load curve;
and step S4, obtaining a daily generated energy self-utilization ratio based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area daily average sunshine time interval and the actual load power of the user at each moment in the current area daily average sunshine time interval.
7. The terminal for determining the spontaneous self-use proportion of distributed photovoltaic power generation according to claim 6, wherein the step S2 specifically comprises:
calculating to obtain first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-to-day sunshine time interval on a sunny day according to the photovoltaic power generation power output function P;
obtaining a conversion ratio of rainy weather to sunny weather, and obtaining a second photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the rainy weather according to the conversion ratio and the first photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-to-day sunshine time interval of the sunny weather;
acquiring a first time length proportion when the sun is sunny and a second time length proportion when the sun is rainy in a day-to-day sunshine time interval of the current area, and converting according to the first photovoltaic power generation power, the first time length proportion, the second photovoltaic power generation power and the second time length proportion to obtain the photovoltaic power generation power of the photovoltaic power generation system at each moment in the day-to-day sunshine time interval of the current area;
the step S3 specifically includes:
acquiring a typical daily load curve of a user, and acquiring a first actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the typical daily load curve;
acquiring a non-productive load curve of a rest day of a user except a typical production day, and obtaining a second actual load power of the user at each moment in a daily average sunshine time interval of the current area according to the non-productive load curve;
and obtaining a first day number ratio example of a typical production day time and a second day number ratio of a rest day time of a user, and converting according to the first actual load power, the first day number ratio, the second actual load power and the second day number ratio to obtain the actual load power of the user at each moment in the daily average sunshine time interval of the current area.
8. The terminal for determining the spontaneous self-consumption ratio of distributed photovoltaic power generation according to claim 7, wherein the step S4 is followed by further comprising:
step S5, determining the project investment profitability R of the photovoltaic power generation system established by the user:
R=K*P/C,
P=P1*S+P2*(1-S),
C=C1+C2=C1∑/W+C2∑/W;
k is a proportionality coefficient, P is the comprehensive on-line electricity price of the photovoltaic power station, P1 is the contract energy management electricity price of an enterprise, P2 is the electricity price of the part of electric quantity of the public network on the surplus electricity, S is the spontaneous self-using proportion of daily generated energy and is reduced in a nonlinear way along with the increase of W, C is the single-watt construction cost of the photovoltaic power station, and C is the self-using proportion of daily generated energy1Partial single-watt investment for grid-connected access, C1∑For partial total investment of grid-connected access and less variation with W, C2For a single watt investment in the photovoltaic sector, C2∑W is the installed capacity of the photovoltaic power station and is lower than the maximum installed capacity;
and step S6, calculating the corresponding optimal installed capacity when the project investment profitability R is the highest according to the relation between the project investment profitability R and the installed capacity W of the photovoltaic power station.
9. The terminal for determining the spontaneous self-use proportion of distributed photovoltaic power generation according to claim 6, wherein the step S4 specifically comprises:
obtaining the consumption proportion of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current area day-average sunshine time interval and the actual load power of the user at each moment in the current area day-average sunshine time interval, and averaging the consumption proportion at each moment to obtain the daily generated energy spontaneous self-use proportion;
or obtaining the absorption power generation amount of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval based on the photovoltaic power generation power of the photovoltaic power generation system at each moment in the current region day-average sunshine time interval and the actual load power of the user at each moment in the current region day-average sunshine time interval, and taking the ratio between the numerical value obtained by adding the absorption power generation amounts at each moment and the numerical value obtained by adding the photovoltaic power generation power as the daily power generation amount self-utilization ratio.
10. The terminal for determining the self-consumption proportion of distributed photovoltaic power generation according to claim 6, wherein the step S3 of obtaining the typical daily load curve of the user specifically comprises:
the method comprises the steps of obtaining hour electricity consumption on a plurality of typical production days in real time to obtain a typical daily load curve of a user, wherein the typical production days are normal production days without overhaul, overtime and rest.
CN202110881928.5A 2021-08-02 2021-08-02 Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation Pending CN113570267A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110881928.5A CN113570267A (en) 2021-08-02 2021-08-02 Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110881928.5A CN113570267A (en) 2021-08-02 2021-08-02 Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation

Publications (1)

Publication Number Publication Date
CN113570267A true CN113570267A (en) 2021-10-29

Family

ID=78169952

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110881928.5A Pending CN113570267A (en) 2021-08-02 2021-08-02 Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation

Country Status (1)

Country Link
CN (1) CN113570267A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080006028A (en) * 2006-07-11 2008-01-16 한국전기연구원 Method for computing the propriet installed capacity of the solar cell generating system
CN105846464A (en) * 2016-05-11 2016-08-10 国家电网公司 Method and system for evaluating influences exerted by distributed power source on power distribution network
CN108736510A (en) * 2017-09-08 2018-11-02 中国南玻集团股份有限公司 The prediction technique of photovoltaic power station power generation and plant area's electricity consumption ratio
CN110838733A (en) * 2019-11-18 2020-02-25 国网四川省电力公司电力科学研究院 Photovoltaic capacity configuration method suitable for cascade water-light complementary energy power generation system
CN111092451A (en) * 2018-10-23 2020-05-01 中国能源建设集团江苏省电力设计院有限公司 Photovoltaic consumption early warning method based on power distribution network grid
CN111130099A (en) * 2019-12-30 2020-05-08 国家电网有限公司 Optimal matching method and system for distributed photovoltaic and energy storage in low-voltage transformer area
CN112003278A (en) * 2020-08-21 2020-11-27 国核电力规划设计研究院重庆有限公司 Method and system for realizing distributed photovoltaic self-power utilization ratio prediction

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080006028A (en) * 2006-07-11 2008-01-16 한국전기연구원 Method for computing the propriet installed capacity of the solar cell generating system
CN105846464A (en) * 2016-05-11 2016-08-10 国家电网公司 Method and system for evaluating influences exerted by distributed power source on power distribution network
CN108736510A (en) * 2017-09-08 2018-11-02 中国南玻集团股份有限公司 The prediction technique of photovoltaic power station power generation and plant area's electricity consumption ratio
CN111092451A (en) * 2018-10-23 2020-05-01 中国能源建设集团江苏省电力设计院有限公司 Photovoltaic consumption early warning method based on power distribution network grid
CN110838733A (en) * 2019-11-18 2020-02-25 国网四川省电力公司电力科学研究院 Photovoltaic capacity configuration method suitable for cascade water-light complementary energy power generation system
CN111130099A (en) * 2019-12-30 2020-05-08 国家电网有限公司 Optimal matching method and system for distributed photovoltaic and energy storage in low-voltage transformer area
CN112003278A (en) * 2020-08-21 2020-11-27 国核电力规划设计研究院重庆有限公司 Method and system for realizing distributed photovoltaic self-power utilization ratio prediction

Similar Documents

Publication Publication Date Title
CN107464010B (en) Virtual power plant capacity optimal configuration method
Santos et al. Technical and economic impact of residential electricity storage at local and grid level for Portugal
CN113224756B (en) Method applied to photovoltaic building integrated optimal installed capacity measurement and calculation
CN110852535A (en) Day-ahead market clearing model considering medium-long term trading and wind power uncertainty
CN115514005B (en) Economical evaluation method and device for energy storage system configuration of photovoltaic power station
CN109274131B (en) Probability statistics theory-based non-time sequence quantitative evaluation method for new energy consumption capability
CN114938035B (en) Shared energy storage energy scheduling method and system considering energy storage degradation cost
CN115864376A (en) Multi-time scale power supply conservation analysis method and system
Lin et al. Optimization decision model of electricity market under renewable portfolio standard
Mohamed et al. Residential battery energy storage sizing and profitability in the presence of PV and EV
CN110224397B (en) User-side battery energy storage cost benefit analysis method under wind and light access background
CN113570267A (en) Method and terminal for determining spontaneous self-use proportion of distributed photovoltaic power generation
Ngo et al. The Impact of Electrical Energy Consumption on the Payback Period of a Rooftop Grid-Connected Photovoltaic System: A case Study from Vietnam.
CN115204944A (en) Energy storage optimal peak-to-valley price difference measuring and calculating method and device considering whole life cycle
Imasiku A solar photovoltaic performance and financial modeling solution for grid-connected homes in Zambia
CN113989072A (en) Dynamic adjustment strategy for allocation upper limit of peak shaving auxiliary service market trading subject
Mu et al. Risk-constrained multi-period planning for park-level integrated energy system based on CVaR method
Comendant et al. Identifying the opportunity to meet the Republic of Moldova Electricity Demand by Combining Renewable Energy Sources and Energy Storage Systems
CN110400079B (en) Day-ahead scheduling method and system for realizing new energy user community energy sharing
CN114862163B (en) Optimized scheduling method of comprehensive energy system
Kejun et al. An economic evaluation model for user-side energy storage considering uncertainties of demand response
GOJAR et al. Return of Investment Analysis of Solar Powered DHVSU Gymnasium
CN116362400A (en) Large-industry user electricity fee optimization method based on light storage system configuration
Yin et al. Analysis of Permeability Growth Mode of Regional Distributed Power Supply Based on Improved Bass Model
Akgayev et al. Assessing the Feasibility of Photovoltaic Systems in Türkiye: Technical and Economic Analysis of On-Grid, Off-Grid, and Utility-Scale PV Installations

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination