From defects creation to circuit reliability - A bottom-up approach (invited)

This paper presents a theoretical framework about interface states creation rate from Si-H bonds at the Si/SiO₂ interface. It includes three mains ways of bond breaking. In the first case, the bond can be broken thanks to the bond ground state rising with an electrical field. In the two others cases, incident carriers will play the main role either if there are very energetic or very numerous but less energetic. This concept allows us physically modeling the reliability of MOSFET transistors, and particularly NBTI permanent part, and Channel Hot Carrier (CHC) to Cold Carrier (CCC) damage. Finally, the translation of these physical models into reliability spice models is discussed. These models pave the way to Design-in Reliability (DiR) approach which seeks to provide a quantitative assessment of reliability - CMOS device reliability in this case - at design stage thereby enabling judicious margins to be taken beforehand.     

Specific heat of the antiferro/ferro-magnet NpGa3

The specific heat of NpGa₃ has been measured for the first time. The magnetic transitions and more generally the full magnetic phase diagram have been re-established precisely. The Sommerfeld coefficient and the magnetic entropy point to a rather localized system, in agreement with previous studies, in particular high pressure Mössbauer and resistivity. The comparison with other NpX₃ suggests that NpGa₃ is the most localized member of the series.     

下一代互联网发展的若干问题思考

就当前我国向下一代互联网发展的若干热点和紧迫问题发表了自己的见解并提出了可行的建议。     

Studies on the heating capacity control of a multi-type heat pump system applying a multi-input multi-output (MIMO) method

This paper describes a method to control capacity of a multi-type heat pump system. Because indoor units are interconnected, alteration of the heating or cooling setting of one indoor unit can influence the performance of the other indoor units. Proportional-integral (PI) controllers were used to assess system performance, and the PI controllers’ gain values were optimized by using a genetic algorithm. A system model was established following a system identification optimization process, and a pseudo random binary sequence was selected as the system identification input signal. A multi-input multi-output (MIMO) controller was more effective in reducing such cross-coupling effects than a single-input single-output (SISO) controller. The temperature at the secondary fluid outlet in the condenser and the saturation pressure at the evaporator were selected as the control variables in the MIMO controller. The experimental results showed that an optimized MIMO controller could reduce overshoot by up to 40% compared with the results using a SISO controller.     

基于概率分布统计原理新疆风电运行分析

通过对新疆电网现有风电的发展情况的相关数据进行统计,结合数理统计原理中的概念和原理,在对新疆电网风力发电研究的基础上,对风力发电存在问题的分析,从数理概念角度分析了如何减少大规模风电发展对新疆电网的影响,从新的角度提出了风电大规模发展的思路和建议,为风力发电的发展提供一定的参考和借鉴。     

炉水中氯离子浓度高的原因分析与预防措施

氯离子对亚临界机组的腐蚀危害极大,其腐蚀表现形式主要是破坏水冷壁管金属表面的钝化膜,进而向金属晶格里面渗透,引起金属表面性质的变化。分析炉水系统中氯离子对金属腐蚀的现象,并针对炉水系统内部氯离子的来源,提出了相应的解决措施。     

多机组集中控制技术在克拉玛依电厂的应用

介绍了克拉玛依电厂多机组集中控制系统的结构及说明,并对多机组集中控制、自动发电控制以及厂级监控信息系统进行了深入研究。     

基于约束因子限幅控制的双馈感应发电机有功功率平滑控制

在分析双馈感应发电机（doubly-fed induction generator,DFIG）运行特性和传统最大风能追踪控制（maximum power point tracking,MPPT）策略的基础上,给出一种基于约束因子限幅控制的DFIG有功功率平滑控制策略,提出功率输出限幅值可调的控制思想,结合发电机转速控制和风力机变桨距控制来实现输出功率保持在任意给定值。给出了约束因子的表达式和取值规则。在Matlab／Simulink仿真平台上采用所提平滑控制策略,对一个9MW风电场的有功功率输出特性进行研究,计算了2种控制策略下输出功率的平滑性能指标和方差值。实验结果表明,与传统最大风能追踪控制策略相比,所提出的平滑控制策略能显著减小发电机输出功率的波动,优化了系统的电能质量。     

A novel differential evolution application to short-term electrical power generation scheduling

This paper proposes a new way of applying a differential evolution algorithm to short-term electrical power generation scheduling. Traditionally, the problem is divided into two subproblems. An evolutionary algorithm, which works with binary decision variables, is applied to the first subproblem to find a low cost scheduling of power generators, satisfying some operational constraints. Then, the lambda-iteration method, is used to calculate the power generated by the online generators. In this study, the problem is treated as a whole for the first time in literature and an application of a real-valued differential evolution algorithm is proposed. This approach eliminates the use of an iterative local search technique such as lambda-iteration in all solution evaluations. Through comparisons with results from literature, it is shown that the proposed method achieves a similar solution quality to existing methods, without needing the time consuming lambda-iteration step. Finally, the new approach is applied to real-world data from the Turkish interconnected power network.     

DG integrated multistage distribution system expansion planning

In this paper, a framework is presented to solve the problem of multistage distribution system expansion planning in which installation and/or reinforcement of substations, feeders and distributed generation units are taken into consideration as possible solutions for system capacity expansion. The proposed formulation considers investment, operation, and outage costs of the system. The expansion methodology is based on pseudo-dynamic procedure. A combined genetic algorithm (GA) and optimal power flow (OPF) is developed as an optimization tool to solve the problem. The performance of the proposed approach is assessed and illustrated by numerical studies on a typical distribution system.