CN201708564U - Off-network type wind and light-combined generating system based on optimum generated energy matching - Google Patents

Off-network type wind and light-combined generating system based on optimum generated energy matching Download PDF

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Publication number
CN201708564U
CN201708564U CN2010202156401U CN201020215640U CN201708564U CN 201708564 U CN201708564 U CN 201708564U CN 2010202156401 U CN2010202156401 U CN 2010202156401U CN 201020215640 U CN201020215640 U CN 201020215640U CN 201708564 U CN201708564 U CN 201708564U
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China
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controller
load
generation system
electricity generation
wind
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Expired - Fee Related
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CN2010202156401U
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Chinese (zh)
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张凤阁
王育欣
杨群
李�浩
李勇
李晋
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Shenyang University of Technology
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Shenyang University of Technology
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    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/10—Photovoltaic [PV]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/30—Wind power
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/70—Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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Abstract

The utility model provides an off-network type wind and light-combined generating system based on optimum generated energy matching, which is characterized in that the generating system mainly comprises a wind-driven generator, a solar battery board, a lead-acid storage battery, a controller and an unloading load, wherein the wind-driven generator is connected to the controller through a rectifier, the solar battery board is connected to the controller through a maximum power tracking unit, and the controller is connected with the lead-acid storage battery and the unloading load. The off-network type wind and light-combined generating system is especially suitable for household and has the advantages of good economical efficiency and stable and reliable running.

Description

Based on best energy output coupling from net type scene compound electricity generation system
Technical field:
The utility model relates to and a kind ofly mates honourable compound electricity generation system from the best energy output of net type reliably, belongs to middle-size and small-size grid-connected power generation system field.
Background technology:
At present, known honourable compound electricity generation system is that the biggest obstacle that restricts this electricity generation system is its generate output based on the compound electricity generation system of solar energy, wind energy MPPT maximum power point tracking controlling schemes; This compound electricity generation system can make that this electricity generation system cost is too high because the average annual effectively energy output of land used can not be fully used, and causes the wasting of resources; The design of Controller of existing honourable compound electricity generation system is also comparatively simple, and operating efficiency is lower, is not suitable for family usefulness, and economy is bad, the operation is reliable and stable inadequately.
The utility model content:
The utility model purpose: the utility model provide a kind of based on best energy output coupling from net type scene compound electricity generation system, its objective is that solution honourable compound electricity generation system operating efficiency in the past is lower, system is unstable, be not suitable for the family with and the bad problem of economy.
Technical scheme: the utility model is achieved through the following technical solutions:
Based on best energy output coupling from net type scene compound electricity generation system, it is characterized in that: described electricity generation system mainly comprises wind-driven generator, solar panel, lead acid accumulator, controller and off-load load; Described wind-driven generator is connected to controller by rectifier, and described solar panel is connected to controller by the maximal power tracing unit, and described controller connects lead acid accumulator and off-load load.
Controller is connected to AC load by inverter when in use; Described lead acid accumulator is connected to DC load.
The driver element that comprises control chip, charging main circuit, protective circuit, temperature and electric current and voltage detecting unit, communication unit and sun tracker stepping motor in the described controller; The driver element of described charging main circuit, protective circuit, temperature and electric current and voltage detecting unit and sun tracker stepping motor all is connected to control chip; Described charging main circuit is connected to lead acid accumulator; The driver element of described sun tracker stepping motor is connected to two four phase step motors on the solar panel.
Advantage and effect: the utility model provide a kind of based on best energy output coupling from net type scene compound electricity generation system, it is characterized in that: described electricity generation system mainly comprises wind-driven generator, solar panel, lead acid accumulator, controller and off-load load; Described wind-driven generator is connected to controller by rectifier, and described solar panel is connected to controller by the maximal power tracing unit, and described controller connects lead acid accumulator and off-load load.
In order to overcome the deficiency of existing honourable compound electricity generation system, the utility model provide a kind of best energy output coupling from net type scene compound electricity generation system.This electricity generation system is taking into full account under local wind energy, the solar energy resources distribution situation, under the system of assurance maximum power point operating state, has realized the optimization of controller, control algolithm and hardware device thereof, has improved the overall performance of honourable compound electricity generation system.
At the deficiencies in the prior art, the utility model adopts following scheme: take into full account local natural resources distribution situation, in conjunction with the actual power system model, design the rational optimum capacity matching scheme of a kind of practicality, improve system effectiveness to greatest extent, reduce cost.The energy acquisition equipment of this utility model comprises wind-driven generator and solar panel, and being respectively applied for wind energy, conversion of solar energy is electric energy; The main circuit link can quantitative change be sent link: be that stable charges a battery with filtering and voltage stabilizing circuit in the charging main circuit in the direct current process controller of direct current behind the three-phase alternating current electric rectification of blower fan and solar panel; Energy memory by using link comprise storage battery charging, give the discharge of DC load and AC load power supply and off-load load.In the MPPT maximum power point tracking controlling schemes of small-sized wind power generator and solar panel, adopt adaptive fuzzy control method, improved the dynamic response time of system when the different operating state exchange effectively, improve system works efficient.
Described best energy output matching process from net type scene compound electricity generation system, it is the NATURAL DISTRIBUTION of analytical system infield scene resource, statistical computation monthly average wind energy, solar power generation amount are also set up system's annual average power generation and average annual total cost Mathematical Modeling, utilize the high-grade intelligent algorithm, the electricity generation system model optimization is found the solution, obtain the wind energy of optimum economic benefit, the matching scheme of solar power generation amount; For improving electricity generation system efficient, in controller, adopt maximum power point-tracing control method, make electricity generation system be in the maximum power generating state, utilize the optimization of the interior adaptive fuzzy algorithm realization of controller to system's peak power output point-tracking method; The temperature detection protective circuit not only provides the alarm and protection function for circuit, and its temperature signal can also be used to judging the maximum power working point of solar panel; Overvoltage, under-voltage protecting circuit detect the electricity generation system voltage signal in real time, are used for judging the maximum power working point of wind-driven generator.
The beneficial effects of the utility model are: adopt renewable energy power generation, rationally utilize natural resources, the protection environment; Can solve the outlying district electricity consumption from net type scene compound electricity generation system, for herdsman, frontier sentry, operating office etc. provide reliable electricity consumption; Take into full account the natural resources distribution situation, the coupling system model is met the flux matched design of best wind light generation of different loads demand; Employing is controlled wind-driven generator and solar panel based on the MPPT maximum power point tracking controlling schemes of adaptive fuzzy controller, improves the electricity generation system operating efficiency, improves the economic benefit of system.
Description of drawings:
Fig. 1 is overall structure figure of the present utility model;
Fig. 2 is the disturbance observation theory diagram of integral body of the present utility model;
Fig. 3 is a self-adaptive fuzzy control system block diagram in the controller of the present utility model;
Fig. 4 is that the adaptive fuzzy controller output in the controller of the present utility model changes the degree of membership curve synoptic diagram;
Fig. 5 is a DC decompression type charging circuit block diagram of the present utility model;
Fig. 6 is the maximum power point schematic diagram of the utility model solar panel under different temperatures and illumination;
Fig. 7 is open circuit voltage, the short circuit current curve chart of the utility model solar panel under different temperatures and illumination.
Embodiment:
Below in conjunction with embodiment the utility model is described further:
As shown in Figure 1, the utility model provide a kind of based on best energy output coupling from net type scene compound electricity generation system, described electricity generation system mainly comprises wind-driven generator 1, solar panel 2, lead acid accumulator 8, controller 7 and off-load load 9; Described wind-driven generator 1 is connected to controller 7 by rectifier 4, and described solar panel 2 is connected to controller 7 by maximal power tracing unit 5, and described controller 7 connects lead acid accumulator 8 and off-load load 9.
Controller 7 is connected to AC load 10 by inverter 6 when in use; Described lead acid accumulator 8 is connected to DC load.
The driver element that comprises control chip, charging main circuit, protective circuit, temperature and electric current and voltage detecting unit, communication unit and sun tracker stepping motor in the described controller 7; The driver element of described charging main circuit, protective circuit, temperature and electric current and voltage detecting unit and sun tracker stepping motor all is connected to control chip; Described charging main circuit is connected to lead acid accumulator 8; Two four phase step motors that the driver element of described sun tracker stepping motor is connected on the solar panel 2 carry out tracking Control to solar panel elevation angle and azimuth respectively.Communication unit is used for the communication between host computer main frame and control chip.
As Fig. 1 is the utility model overall structure figure, and placing wind-driven generator 1 and solar panel 2 on the pylon 3 is electric energy with wind energy and conversion of solar energy respectively.Can quantitative change send link to be: wind-driven generator 1 obtains direct current by the three-phase alternating current electric rectification that 4 pairs of wind-driven generators of rectifier 1 produce, this direct current is given controller 7 with the direct current that the solar panel 2 through maximal power tracing 5 controls produces, via controller 7 filtering and voltage stabilizing, voltage is stabilized in+12V, accumulators 8 chargings then; Energy storage and utilize link to comprise the charging of storage battery 8, be AC load 10 power supplies after to the DC load power supply with by inverter 6 direct current being transformed into alternating current.And dump energy can consume by off-load load 9.
As shown in Figure 2, the optimal control method that this utility model utilizes maximum power to gather adopts the variable step method of perturbation to carry out tracking Control to system's maximum power point (mpp).
As shown in Figure 3, the Adaptive Fuzzy Control algorithm is optimized design to disturbance voltage in the controller chip, and disturbance voltage is carried out fuzzy classification effectively, improves the response characteristic of system dynamics.The membership function curve that the adaptive fuzzy controller output that Fig. 4 is adopted for controller 7 changes.
Controller 7 is most important assemblies in this electricity generation system.Use the STC89C52 control chip to carry out the hardware control system design, but its online monitoring system temperature improve system safety and stability.The main circuit that wherein charges has following function: the control of accumulator cell charging and discharging; The protection of storage battery; And the charging main circuits in this controller 7 can follow the tracks of the maximum power point of solar energy, to the maximal power tracing control of wind-driven generator, to solar azimuth with highly follow the tracks of and solar panel and wind-driven generator are protected.
MPPT maximum power point tracking control is for making full use of wind energy and solar energy, making solar panel and wind-driven generator export the control of maximum electric power all the time.As shown in Figure 5, this system adopts Buck type DC/DC converter, recently regulates the K value by the duty of the switching tube in the conditioning controller 7, makes the solar cell Maximum Power Output, thereby realizes MPPT maximum power point tracking.
Fig. 6 described of the present utility model based on best energy output coupling from the maximum power point of net type scene compound electricity generation system under different temperatures and illumination.
Fig. 7 is open circuit voltage and the short circuit current schematic diagram from net type scene compound electricity generation system solar panel under different temperatures and illumination based on best energy output coupling of the present utility model.
This utility model especially is fit to family usefulness, good economy performance, stable and reliable operation.

Claims (3)

  1. Based on best energy output coupling from net type scene compound electricity generation system, it is characterized in that: described electricity generation system mainly comprises wind-driven generator (1), solar panel (2), lead acid accumulator (8), controller (7) and off-load load (9); Described wind-driven generator (1) is connected to controller (7) by rectifier (4), and described solar panel (2) is connected to controller (7) by maximal power tracing unit (5), and described controller (7) connects lead acid accumulator (8) and off-load load (9).
  2. 2. according to claim 1 based on best energy output coupling from net type scene compound electricity generation system, it is characterized in that: controller (7) is connected to AC load (10) by inverter (6) when in use; Described lead acid accumulator (8) is connected to DC load.
  3. 3. according to claim 1 and 2 based on best energy output coupling from net type scene compound electricity generation system, it is characterized in that: the driver element that comprises control chip, charging main circuit, protective circuit, temperature and electric current and voltage detecting unit, communication unit and sun tracker stepping motor in the described controller (7); The driver element of described charging main circuit, protective circuit, temperature and electric current and voltage detecting unit and sun tracker stepping motor all is connected to control chip; Described charging main circuit is connected to lead acid accumulator (8); The driver element of described sun tracker stepping motor is connected to two four phase step motors on the solar panel (2).
CN2010202156401U 2010-06-04 2010-06-04 Off-network type wind and light-combined generating system based on optimum generated energy matching Expired - Fee Related CN201708564U (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102394504A (en) * 2011-09-29 2012-03-28 天津科技大学 Intelligent integrated power generation system
CN102608413A (en) * 2012-04-26 2012-07-25 上海交通大学 Method and device for detecting maximum power point of photovoltaic power generation
CN103925630A (en) * 2014-04-14 2014-07-16 沈阳农业大学 Adaptive-with-wind load power type off-grid wind power heat storage and heating system for rural residences
WO2018010660A1 (en) * 2016-07-14 2018-01-18 上海骄英能源科技有限公司 Energy-saving seawater desalination device using power generated in complementary cooperation of wind energy and light energy, and control method
CN109630357A (en) * 2018-12-28 2019-04-16 中国海洋石油集团有限公司 A kind of power supply management system and method

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102394504A (en) * 2011-09-29 2012-03-28 天津科技大学 Intelligent integrated power generation system
CN102394504B (en) * 2011-09-29 2014-06-04 天津科技大学 Intelligent integrated power generation system
CN102608413A (en) * 2012-04-26 2012-07-25 上海交通大学 Method and device for detecting maximum power point of photovoltaic power generation
CN103925630A (en) * 2014-04-14 2014-07-16 沈阳农业大学 Adaptive-with-wind load power type off-grid wind power heat storage and heating system for rural residences
CN103925630B (en) * 2014-04-14 2017-02-15 沈阳农业大学 Adaptive-with-wind load power type off-grid wind power heat storage and heating system for rural residences
WO2018010660A1 (en) * 2016-07-14 2018-01-18 上海骄英能源科技有限公司 Energy-saving seawater desalination device using power generated in complementary cooperation of wind energy and light energy, and control method
US10843939B2 (en) 2016-07-14 2020-11-24 Shanghai Join-In Technologies Co., Ltd. Energy-saving seawater desalination device using power generated in complementary cooperation of wind energy and light energy, and control method
CN109630357A (en) * 2018-12-28 2019-04-16 中国海洋石油集团有限公司 A kind of power supply management system and method

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