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一种复合终端逆阻IGBT数值仿真分析
引用本文:樊爱霞,秦旭映. 一种复合终端逆阻IGBT数值仿真分析[J]. 中国电力, 2012, 45(9): 98-106. DOI: 10.11930/j.issn.1004-9649.2012.9.98.3
作者姓名:樊爱霞  秦旭映
作者单位:1. 国网智能电网研究院有限公司,北京 102209;2. 西安理工大学 电子工程系,陕西 西安 710048;3. 西安理工大学 应用物理系,陕西 西安 710048
基金项目:国家自然科学基金资助项目(51437006);广东电网有限责任公司科技项目(电力现货市场需求侧响应交易机制及前瞻性专题研究,036000KK52170008)
摘    要:绝缘栅双极型晶体管(insulated gate bipolar transistor,IGBT)本身不具有反向阻断能力,因此在电路中通常与二极管组合使用。为降低使用成本,减小寄生电感,续流二极管与IGBT通过工艺集成在同一芯片上,由此提出了具有反向阻断能力的逆阻型IGBT。针对常规逆阻IGBT终端面积大的问题,提出了一种改进型复合终端结构,采用双掺杂场限环,在P型场限环旁边引入N型轻掺杂区。改进结构减小了耗尽区横向扩展速率,增强器件可靠性,节省终端面积占用并提高了终端效率。

关 键 词:电力市场  现货市场  需求响应  运营机制  结算机制  
收稿时间:2012-07-12
修稿时间:2022-08-04

Modeling of Power Generation Structure with Diversification Level and Emission Constraints Considered
FAN Ai-xia , QIN Xu-ying. Modeling of Power Generation Structure with Diversification Level and Emission Constraints Considered[J]. Electric Power, 2012, 45(9): 98-106. DOI: 10.11930/j.issn.1004-9649.2012.9.98.3
Authors:FAN Ai-xia    QIN Xu-ying
Affiliation:1. State Grid Smart Grid Research Institute Co. Ltd., Beijing 102209, China;2. Department of Electronic Engineering, Xi'an University of Technology, Xi'an 710048, China;3. Department of Applied Physics, Xi'an University of Technology, Xi'an 710048, China
Abstract:Given that advanced technologies for both fossil and non-fossil fuels power generation have gradually entered a new development stage where the two can compete against each other in the market, studying the structural evolution of the power generation structure and its influences on the total energy consumption and emission has become a priority in the field of energy system modeling, particularly for a transitional economy like China. In this paper an optimization tool is developed and implemented to simulate the optimal portfolio of power generation technologies with the constraints on technological, economical, and environmental performance. Various scenarios are designed and compared to illustrate the interactions among cost, diversity, and emissions. Results can make a reference to the government policy-making.
Keywords:low carbon  power structure  modeling  optimization  climate policy  
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