CN109062862B - Method for rapidly calculating profits of non-storage photovoltaic direct power supply equipment - Google Patents

Method for rapidly calculating profits of non-storage photovoltaic direct power supply equipment Download PDF

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CN109062862B
CN109062862B CN201810875709.4A CN201810875709A CN109062862B CN 109062862 B CN109062862 B CN 109062862B CN 201810875709 A CN201810875709 A CN 201810875709A CN 109062862 B CN109062862 B CN 109062862B
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photovoltaic
annual
power supply
installation
profits
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李德成
管江山
吴文传
汪盛傲伦
栗子豪
邰雪
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Jiangsu Jiangshan New Energy Technology Co ltd
Tsinghua University
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Tsinghua University
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Abstract

The invention discloses a method for quickly calculating profits of non-storage photovoltaic direct power supply equipment, which is used for quickly calculating the annual profits of photovoltaic systems under different photovoltaic installation machines under the condition of not carrying out annual numerical simulation, constructing a negative exponential relation model between the annual profits of the photovoltaic and the photovoltaic installation machines when the photovoltaic installation machines are higher than load power, calculating parameters of the negative exponential model according to boundary conditions, and further quickly calculating the profits of the photovoltaic direct power supply equipment with different installation capacities and guiding to give out the optimal photovoltaic installation machine.

Description

Method for rapidly calculating profits of non-storage photovoltaic direct power supply equipment
Technical Field
The invention relates to the technical field of photovoltaic utilization, in particular to a rapid profit calculation method for a non-storage photovoltaic direct power supply device.
Background
With the progress of photovoltaic module technology, small-capacity distributed photovoltaic is widely used. The photovoltaic power supply without energy storage and direct supply is installed in power utilization places such as unit iron tower supports of street lamps and communication base stations, data machine room roofs and the like, and is matched with a power grid to supply power load together. By controlling the photovoltaic system, the photovoltaic energy is preferentially used, and the effects of utilizing the photovoltaic energy and reducing carbon emission are achieved.
To achieve the best economic benefit, the load needs to be equipped with the appropriate photovoltaic equipment capacity, and the photovoltaic gain estimation method according to the annual utilization hours is only suitable for photovoltaic systems equipped with energy storage or installed loads less than or equal to the load. When the photovoltaic installation machine is larger than the load, because the system is not provided with energy storage, when the photovoltaic full-scale power generation is carried out, the phenomenon of light abandonment due to the fact that the photovoltaic power generation power exceeds the load power can occur, and the annual utilization hours of the photovoltaic installation machine are directly applied to estimate the annual income of the photovoltaic installation machine is larger.
The traditional income calculation method directly utilizes 365 sunlight illumination curves in one year to perform simulation calculation and superposition on daily photovoltaic income, and is not beneficial to field engineering application due to the problems of large calculation amount, difficulty in obtaining illumination data and the like.
Disclosure of Invention
The invention mainly solves the technical problem of providing a method for quickly calculating the profits of the non-storage photovoltaic direct power supply equipment, quickly calculating the profits of the photovoltaic direct power supply equipment with different installed capacities, and instructive providing the optimal photovoltaic installed equipment.
In order to solve the technical problems, the invention adopts a technical scheme that: the method for rapidly calculating the profit of the non-storage photovoltaic direct power supply equipment comprises the following steps:
A. the annual photovoltaic yield when the installed photovoltaic power is less than or equal to the load power is expressed in a form shown by formula (1):
IPV＝pPVTPVcG,pPV≤PL (1)
wherein, IPVFor annual photovoltaic gains, pPVFor photovoltaic installations, TPVNumber of local photovoltaic annual utilization hours for installation of photovoltaic system, cGFor a constant mains price, PLIs the load power;
B. the photovoltaic system cost is expressed in the form shown in equation (2):
Figure GDA0003428313650000011
wherein the content of the first and second substances,
Figure GDA0003428313650000012
the silicon unit price is the unit price of the photovoltaic silicon unit,
Figure GDA0003428313650000013
the cost of the bracket is the unit price,
Figure GDA0003428313650000014
in order to reduce the construction cost,
Figure GDA0003428313650000015
for photovoltaic microcomputer system costs, CPVThe total cost of the photovoltaic system;
C. when the photovoltaic installed machine is larger than the load power, the relation between the photovoltaic annual income and the photovoltaic installed machine is established into a form shown in an equation (3):
Figure GDA0003428313650000021
wherein the parameters are calculated according to equations (4) - (6):
a3＝PLTsuncG (4)
Figure GDA0003428313650000022
Figure GDA0003428313650000023
wherein T issunThe maximum hours of sunshine per year;
D. up to this point, the annual photovoltaic yield and the photovoltaic installation can be collectively expressed as shown in formula (7):
Figure GDA0003428313650000024
if the planned service life of the photovoltaic equipment is t years, the optimal photovoltaic installation corresponding to the obtained accumulated maximum net profit is represented by the formula (8):
Figure GDA0003428313650000025
wherein the content of the first and second substances,
Figure GDA0003428313650000026
the optimum photovoltaic installed capacity at the moment.
In a preferred embodiment of the present invention, wherein a1＜0、a2＜0、a3Either > 0 or collectively as negative exponential model parameters.
In a preferred embodiment of the present invention, Tsun is a constant 4380.
The invention has the beneficial effects that: the method for rapidly calculating the profits of the non-storage photovoltaic direct power supply equipment can rapidly calculate the annual profits of photovoltaic systems under different photovoltaic installation machines under the condition of not carrying out annual numerical simulation, a negative exponential relation model between the annual profits of the photovoltaic systems and the photovoltaic installation machines is constructed when the photovoltaic installation machines are higher than the load power, parameters of the negative exponential model are calculated according to boundary conditions, the profits of the photovoltaic direct power supply equipment with different installation capacities are rapidly calculated, and the optimal photovoltaic installation machine is given out in a guiding mode.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention comprises the following steps:
a rapid calculation method for profits of non-storage photovoltaic direct power supply equipment comprises the following steps:
A. the annual photovoltaic yield when the installed photovoltaic power is less than or equal to the load power is expressed in a form shown by formula (1):
IPV＝pPVTPVcG,pPV≤PL (1)
wherein, IPVFor annual photovoltaic gains, pPVFor photovoltaic installations, TPVNumber of local photovoltaic annual utilization hours for installation of photovoltaic system, cGFor a constant mains price, PLIs the load power;
B. the photovoltaic system cost is expressed in the form shown in equation (2):
Figure GDA0003428313650000031
wherein the content of the first and second substances,
Figure GDA0003428313650000032
the silicon unit price is the unit price of the photovoltaic silicon unit,
Figure GDA0003428313650000033
the cost of the bracket is the unit price,
Figure GDA0003428313650000034
in order to reduce the construction cost,
Figure GDA0003428313650000035
for photovoltaic microcomputer system costs, CPVThe total cost of the photovoltaic system;
C. when the photovoltaic installed machine is larger than the load power, the relation between the photovoltaic annual income and the photovoltaic installed machine is established into a form shown in an equation (3):
Figure GDA0003428313650000036
wherein, a1＜0、a2＜0、a3> 0 is a negative exponential model parameter, whose parameters are calculated according to equations (4) - (6):
a3＝PLTsuncG (4)
Figure GDA0003428313650000037
Figure GDA0003428313650000038
wherein T issunThe Tsung is a constant 4380 for the maximum annual sunshine hours;
D. up to this point, the annual photovoltaic yield and the photovoltaic installation can be collectively expressed as shown in formula (7):
Figure GDA0003428313650000039
if the planned service life of the photovoltaic equipment is t years, the optimal photovoltaic installation corresponding to the obtained accumulated maximum net profit is represented by the formula (8):
Figure GDA00034283136500000310
wherein the content of the first and second substances,
Figure GDA0003428313650000041
the optimum photovoltaic installed capacity at the moment.
Take Nanjing as an example:
photovoltaic silicon unit price
Figure GDA0003428313650000042
(ten thousand yuan/kw);
cost unit price of bracket
Figure GDA0003428313650000043
(ten thousand yuan/kw);
construction cost
Figure GDA0003428313650000044
(ten thousand yuan/kw);
commercial power price cG0.88 (yuan/degree);
load power PL3 (kilowatts);
photovoltaic annual utilization hours T of Nanjing found from standard of photovoltaic utilization hours of ChinaPVWhen 1069.8 (hours), a can be calculated according to equations (4) to (6)31.156 (ten thousand yuan), a2-0.1078 (1/kilowatt), a1-1.2071 (ten thousand yuan);
then the relation between the annual photovoltaic yield and the installed photovoltaic can be written according to the formula (7):
Figure GDA0003428313650000045
wherein the photovoltaic installation pPVUnit of (2) is kilowatt, photovoltaic annual yield IPVThe unit of (A) is ten thousand yuan;
if the planned service life t of the photovoltaic equipment is 10 years, calculating the optimal photovoltaic installation corresponding to the obtained accumulated maximum net profit according to the formula (8) as follows:
Figure GDA0003428313650000046
Figure GDA0003428313650000047
in kilowatts.
In conclusion, the method for rapidly calculating the profit of the non-storage photovoltaic direct power supply equipment reduces the calculation complexity, rapidly calculates the profit of the photovoltaic direct power supply equipment with different installed capacities, provides the optimal photovoltaic installed equipment in an instructive manner, and improves the working efficiency of the photovoltaic installed equipment.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (3)

1. A method for rapidly calculating the profit of a non-storage photovoltaic direct power supply device is characterized by comprising the following steps:
A. the annual photovoltaic yield when the installed photovoltaic power is less than or equal to the load power is expressed in a form shown by formula (1):
IPV＝pPVTPVcG,pPV≤PL (1)
wherein, IPVFor annual photovoltaic gains, pPVFor photovoltaic installations, TPVNumber of local photovoltaic annual utilization hours for installation of photovoltaic system, cGFor a constant mains price, PLIs the load power;
B. the total cost of the photovoltaic system is expressed in the form shown in formula (2):
Figure FDA0003428313640000011
wherein the content of the first and second substances,
Figure FDA0003428313640000012
the silicon unit price is the unit price of the photovoltaic silicon unit,
Figure FDA0003428313640000013
the cost of the bracket is the unit price,
Figure FDA0003428313640000014
in order to reduce the construction cost,
Figure FDA0003428313640000015
for photovoltaic microcomputer system costs, CPVThe total cost of the photovoltaic system;
C. when the photovoltaic installed machine is larger than the load power, the relation between the photovoltaic annual income and the photovoltaic installed machine is established into a form shown in an equation (3):
Figure FDA0003428313640000016
wherein the parameters are calculated according to equations (4) - (6):
a3＝PLTsuncG (4)
Figure FDA0003428313640000017
Figure FDA0003428313640000018
wherein T issunThe maximum hours of sunshine per year;
D. up to this point, the annual photovoltaic yield and the photovoltaic installation can be collectively expressed as shown in formula (7):
Figure FDA0003428313640000019
if the planned service life of the photovoltaic equipment is t years, the optimal photovoltaic installation corresponding to the obtained accumulated maximum net profit is represented by the formula (8):
Figure FDA00034283136400000110
wherein the content of the first and second substances,
Figure FDA00034283136400000111
the optimum photovoltaic installed capacity at the moment.
2. The method for rapidly calculating the profit of a non-storage photovoltaic direct-current power supply device according to claim 1, wherein a1＜0、a2< 0 and a3Either > 0 or collectively as negative exponential model parameters.
3. The method according to claim 1, wherein T is the value of TsunIs constant 4380.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104050609A (en) * 2014-07-14 2014-09-17 天津大学 Low-carbon comprehensive benefit analyzing system of grid connection photovoltaic power generation
JP2014215654A (en) * 2013-04-23 2014-11-17 株式会社ミタデン Photovoltaic power generation facility allotment sale management system
CN104283226A (en) * 2014-10-13 2015-01-14 东北电力大学 Photovoltaic power station group output power transmission capacity static optimization method based on stored energy
CN105139275A (en) * 2015-08-17 2015-12-09 国家电网公司 Method for establishing distributed photovoltaic power stealing cost benefit evaluation model
CN106021934A (en) * 2016-05-23 2016-10-12 天津大学 Regional available solar energy resource evaluation method
CN106655268A (en) * 2016-12-26 2017-05-10 国家电网公司 Comprehensive benefit analysis method and device for distributed photovoltaic access
CN107169794A (en) * 2017-05-09 2017-09-15 中国农业大学 A kind of meter and the photovoltaic plant cost Prices Calculation of component power decay
CN107749624A (en) * 2017-11-16 2018-03-02 广州供电局有限公司 Distributed photovoltaic power generation operation mode Optimization Design and system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120144828A1 (en) * 2012-02-16 2012-06-14 Lazaris Spyros J Multi-resource renewable energy installation and method of maximizing operational capacity of same

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014215654A (en) * 2013-04-23 2014-11-17 株式会社ミタデン Photovoltaic power generation facility allotment sale management system
CN104050609A (en) * 2014-07-14 2014-09-17 天津大学 Low-carbon comprehensive benefit analyzing system of grid connection photovoltaic power generation
CN104283226A (en) * 2014-10-13 2015-01-14 东北电力大学 Photovoltaic power station group output power transmission capacity static optimization method based on stored energy
CN105139275A (en) * 2015-08-17 2015-12-09 国家电网公司 Method for establishing distributed photovoltaic power stealing cost benefit evaluation model
CN106021934A (en) * 2016-05-23 2016-10-12 天津大学 Regional available solar energy resource evaluation method
CN106655268A (en) * 2016-12-26 2017-05-10 国家电网公司 Comprehensive benefit analysis method and device for distributed photovoltaic access
CN107169794A (en) * 2017-05-09 2017-09-15 中国农业大学 A kind of meter and the photovoltaic plant cost Prices Calculation of component power decay
CN107749624A (en) * 2017-11-16 2018-03-02 广州供电局有限公司 Distributed photovoltaic power generation operation mode Optimization Design and system

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Month ahead average daily electricity price profile forecasting based on a hybrid nonlinear regression and SVM model:an ERCOT case study;Ziming MA 等;《J.Mod.Power Syst.Clean Energy》;20180226;第1-11页 *
中温太阳能空气集热器应用研究;田斌守 等;《节能技术》;20160930;第1-6页 *
基于成本-收益的微网分布式能源优化配置;韩璐 等;《电工技术学报》;20150731;第1-11页 *
正确计算能源消耗是节能监察能力建设的技术基础;杨晓东 等;《节能技术》;20171130;第1-6页 *
集中式光伏发电模型设计及应用;任昱华;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20160315;第1-14页 *

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