英语课程汇报(电气工程专业)
合集下载
相关主题
- 1、下载文档前请自行甄别文档内容的完整性，平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益，请联系客服反馈,我们会尽快为您处理(人工客服工作时间：9:00-18:30)。
Gradient Variable Step Size MPPT Algorithm
Fig. 2.4 schematic diagram of the algorithm
Fig. 2.5 Simulation results without Power prediction algorithm
Disadvantage:
Three -Phase AC Power Grid
Control circuit （2 parts）
I. II. MPPT Control Circuit DC/AC Control Circuit
Ambient Conditions
MPPT Control Unit
Ipv Vpv
Fig. 2.1 Structure diagram of the System
When light intensity increases, the algorithm may misjudge and
fail to track the MPP.
2.3 MPPT control-Condition 1
刘
璇
Gradient Variable Step Size MPPT Algorithm with Power prediction algorithm
Q4
T
D2
D4
- Module
MPPT Control Unit
PWM Control Unit
Topology of this Advantages of this circuit circuit
• • • Power High Power Factor Factor Correction Circuit: Discontinue • High power Current density Mode (High Power System), Low switching Average loss Current Control Mode • High Load Ability DC/DC Convert Circuit
Output Grid system voltage control current control an infinite capacity setting AC voltage source a voltage source and voltage source parallel operation system. the inverter’s output current to track the mains voltage
1.2 Situation of Chinese energy
2016(The best news: Coal production ↓ 7.9% )
A variety of energy generation growth
80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 29.40% 71.50%
Clean energy
Only about 2000 million tons
of oil equivalent!
1.2 Situation of Chinese energy
2015 (China plays three roles)
1. 2.
Largest solar power generation Large energy consumption
Golmud
Total capacity: 200 MW Cost : 3.26 billion RMB
Golmud
Golmud, Map of Qinghai Province
1.5 Project Summary
Main problem
• Transmission efficiency • Operation stability • High cost
刘
璇
Gradient Variable Step Size MPPT Algorithm with Power prediction algorithm
Fig. 2.8 Simulation results when the sunshine intensity changes dramatically
2.3 MPPT control
Gradient Variable Step Size Algorithm
刘
New Algorithm
璇
+
Particle Swarm Algorithm
Only one kind of the
algorithms can not
always meet all working conditions.
Fig. 2.11 Simulation results when part of the PV cells are in shadow
3．PV Inverter
3.1 The overall design of the system
Classification(control mode)
Input
Annual solar energy distribution in China (Unit: MJ/m2· h)
Annual solar radiation is about 5800 to 7400 MJ per square meter.
1.5 Project Summary
Location: Golmud, Haixi, Qinghai
current source voltage control current source current control
voltage source voltage control
voltage source current control
Most of the grid inverter adopts voltage source input.
Big trend
Chance
1.4 Situation of Solar Energy
China has surpassed Germany in 2015, becoming the world’s first solar photovoltaic country.
Projects Countries China Japan USA Germany
24.50%
10.00%
0.00% Solar Power Nuclear Energy Wind Power
4% Hydropower
1. 2. 3.
The largest renewable energy consumer Still the large energy consumption The further growth of solar energy
1.3 Why Develop Solar Energy
4 characteristics of solar power
Universal、harmless、huge、permanent
All kinds of environment
Ecology, politics, science and technology
2.2 DC/DC converters
Power Factor Correction Full Bridge Inverter Transformer Full Bridge Rectifier
L Q0
D0 C0
Q1
Q3
D1
D3
+ DC/AC Vo
Grid Inverter
Q2 PV Cell Arrays
Fig. 2.6 schematic diagram of the Power prediction algorithm
Fig. 2.7 Simulation results with the Power prediction algorithm
2.3 MPPT control-Condition 1
Main Circuit （4 parts）
I. II. Solor PV Cell Array DC/DC Converter
III. DC/AC Converter IV. Power Grid
Ipv
Solar PV Cell Arrays
Vpv
DC/DC Converter
DC/AC Converter
1.1 Situation of world energy
Three main resources
• • Coal Fossil oil
•
Natural gas
ห้องสมุดไป่ตู้> 80%
1.1 Situation of world energy
14000 13000 12000 11000 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Fig. 2.2 External characteristics when all PV cells work
Fig. 2.3 External characteristics when part of the PV cells are in shadow
2.3 MPPT control-Condition 1
Global solar PV installed capacity in 2015
Global solar PV installed capacity growth in 2015
1.5 Project Summary
Photovoltaic Potential in Qinghai
Land resources Located in the Qinghai-Tibet Plateau,with flat terrain and high altitude. Sparsely populated Extremely low population density less than 1 people per square kilometer. Rich solar energy resources
Year
Cumulative Installed Capability/GW 43.53 34.41 25.62 39.7
Annual Installed Capability/GW 15.15 11 7.3 1.45
2015 2015 2015 2015
Tab. 1.4 Comparison of photovoltaic development in China and other major developed countries
Technological innovation
• DC/DC Converter
Scheme of the Solar Power Station
• MPPT control • PV Inverter
2．DC/DC Converter
2.1 Overall structure of the system
Design of a 200MW Solar Power Station
Oral Exam
Reporters：
Date: 28 Dec. 2017
01
Background
DC/DC Converter PV Inverter Conclusion
Content
02
03 04
1． Background
1.4 Situation of Solar Energy
By the end of 2015, the global solar PV installed capacity accumulated over 228GW, about 50.7 GW is the new solar PV installed capacity.
Fig. 2.9 Experimental results with this algorithm
2.3 MPPT control-Condition 2
Particle Swarm Algorithm
Fig. 2.10 External characteristics when part of the PV cells are in shadow
Fig. 2.4 schematic diagram of the algorithm
Fig. 2.5 Simulation results without Power prediction algorithm
Disadvantage:
Three -Phase AC Power Grid
Control circuit （2 parts）
I. II. MPPT Control Circuit DC/AC Control Circuit
Ambient Conditions
MPPT Control Unit
Ipv Vpv
Fig. 2.1 Structure diagram of the System
When light intensity increases, the algorithm may misjudge and
fail to track the MPP.
2.3 MPPT control-Condition 1
刘
璇
Gradient Variable Step Size MPPT Algorithm with Power prediction algorithm
Q4
T
D2
D4
- Module
MPPT Control Unit
PWM Control Unit
Topology of this Advantages of this circuit circuit
• • • Power High Power Factor Factor Correction Circuit: Discontinue • High power Current density Mode (High Power System), Low switching Average loss Current Control Mode • High Load Ability DC/DC Convert Circuit
Output Grid system voltage control current control an infinite capacity setting AC voltage source a voltage source and voltage source parallel operation system. the inverter’s output current to track the mains voltage
1.2 Situation of Chinese energy
2016(The best news: Coal production ↓ 7.9% )
A variety of energy generation growth
80.00% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 29.40% 71.50%
Clean energy
Only about 2000 million tons
of oil equivalent!
1.2 Situation of Chinese energy
2015 (China plays three roles)
1. 2.
Largest solar power generation Large energy consumption
Golmud
Total capacity: 200 MW Cost : 3.26 billion RMB
Golmud
Golmud, Map of Qinghai Province
1.5 Project Summary
Main problem
• Transmission efficiency • Operation stability • High cost
刘
璇
Gradient Variable Step Size MPPT Algorithm with Power prediction algorithm
Fig. 2.8 Simulation results when the sunshine intensity changes dramatically
2.3 MPPT control
Gradient Variable Step Size Algorithm
刘
New Algorithm
璇
+
Particle Swarm Algorithm
Only one kind of the
algorithms can not
always meet all working conditions.
Fig. 2.11 Simulation results when part of the PV cells are in shadow
3．PV Inverter
3.1 The overall design of the system
Classification(control mode)
Input
Annual solar energy distribution in China (Unit: MJ/m2· h)
Annual solar radiation is about 5800 to 7400 MJ per square meter.
1.5 Project Summary
Location: Golmud, Haixi, Qinghai
current source voltage control current source current control
voltage source voltage control
voltage source current control
Most of the grid inverter adopts voltage source input.
Big trend
Chance
1.4 Situation of Solar Energy
China has surpassed Germany in 2015, becoming the world’s first solar photovoltaic country.
Projects Countries China Japan USA Germany
24.50%
10.00%
0.00% Solar Power Nuclear Energy Wind Power
4% Hydropower
1. 2. 3.
The largest renewable energy consumer Still the large energy consumption The further growth of solar energy
1.3 Why Develop Solar Energy
4 characteristics of solar power
Universal、harmless、huge、permanent
All kinds of environment
Ecology, politics, science and technology
2.2 DC/DC converters
Power Factor Correction Full Bridge Inverter Transformer Full Bridge Rectifier
L Q0
D0 C0
Q1
Q3
D1
D3
+ DC/AC Vo
Grid Inverter
Q2 PV Cell Arrays
Fig. 2.6 schematic diagram of the Power prediction algorithm
Fig. 2.7 Simulation results with the Power prediction algorithm
2.3 MPPT control-Condition 1
Main Circuit （4 parts）
I. II. Solor PV Cell Array DC/DC Converter
III. DC/AC Converter IV. Power Grid
Ipv
Solar PV Cell Arrays
Vpv
DC/DC Converter
DC/AC Converter
1.1 Situation of world energy
Three main resources
• • Coal Fossil oil
•
Natural gas
ห้องสมุดไป่ตู้> 80%
1.1 Situation of world energy
14000 13000 12000 11000 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Fig. 2.2 External characteristics when all PV cells work
Fig. 2.3 External characteristics when part of the PV cells are in shadow
2.3 MPPT control-Condition 1
Global solar PV installed capacity in 2015
Global solar PV installed capacity growth in 2015
1.5 Project Summary
Photovoltaic Potential in Qinghai
Land resources Located in the Qinghai-Tibet Plateau,with flat terrain and high altitude. Sparsely populated Extremely low population density less than 1 people per square kilometer. Rich solar energy resources
Year
Cumulative Installed Capability/GW 43.53 34.41 25.62 39.7
Annual Installed Capability/GW 15.15 11 7.3 1.45
2015 2015 2015 2015
Tab. 1.4 Comparison of photovoltaic development in China and other major developed countries
Technological innovation
• DC/DC Converter
Scheme of the Solar Power Station
• MPPT control • PV Inverter
2．DC/DC Converter
2.1 Overall structure of the system
Design of a 200MW Solar Power Station
Oral Exam
Reporters：
Date: 28 Dec. 2017
01
Background
DC/DC Converter PV Inverter Conclusion
Content
02
03 04
1． Background
1.4 Situation of Solar Energy
By the end of 2015, the global solar PV installed capacity accumulated over 228GW, about 50.7 GW is the new solar PV installed capacity.
Fig. 2.9 Experimental results with this algorithm
2.3 MPPT control-Condition 2
Particle Swarm Algorithm
Fig. 2.10 External characteristics when part of the PV cells are in shadow