基于PSS/EBKDY模块的短路电流周期分量计算方法分析

介绍了一种基于电网仿真软件PSS／EBKDY模块的短路电流周期分量计算方法,分别用PSS／E和BPA机电暂态仿真软件对计算结果进行了校核．仿真结果显示,基于PSS／EBKDY模块的短路电流算法有较好的精确度,但该算法的缺点是不够保守,这将影响其在工程短路电流计算上的应用．     

负荷模型对电力系统混合仿真误差的影响

电力系统仿真的准确度直接关系到系统的安全经济运行,其中负荷模型对仿真结果有显著的影响。大型电力系统仿真软件PSS/E所具有的高度模块化的结构,以及其模型库中所提供的丰富的设备模型,特别是其自带的二次开发语言IPLAN使得它能够完成各种各样的仿真任务。基于PSS/E,用接地时变导纳的动态等值方法对系统进行混合仿真,即注入实测数据代替某部分电网,发现采用不同的负荷模型对混合仿真误差有很大的影响,最后分析了原因。     

基于PSO算法的电力系统稳定器参数优化

针对电力系统稳定器的参数优化问题,提出一种基于微粒群优化算法的整定方法。算法选择Δω作为输入信号,以ITAE指标作为微粒群优化算法的目标函数,对电力系统稳定器增益Ki和时间常数T1i、T3i三个参数进行优化设计。仿真结果验证了算法的有效性和优越性。     

互联电力系统未知机理低频振荡分析

近年来,我国互联电力系统多次发生低频振荡。针对南方互联电网"5.13"功率振荡,首先采用特征值分析法详细分析南方互联电网低频振荡特性,得出主要振荡模式以及发电机组参与因子和模态分布图。其次利用仿真软件PSS/E,对强相关机组的切机、三相短路故障以及原动机周期扰动分别进行时域仿真,并与实际振荡曲线进行对比。结果表明,南方电网此次功率振荡不是因为强相关机组电气侧故障,采用负阻尼机理也不能很好地解释,其产生原因可能是发电机组受原动机周期扰动有关。     

简单电力系统静态稳定性分析及研究

文章以一个单机-无穷大系统为例,分析了影响电力系统静态稳定性的因素,介绍了静态稳定性的分析方法,提出了提高电力系统静态稳定性的措施。通过采取改善电力系统基本元件的特性和参数及采用附加装置等措施,提高了电力系统的静态稳定性。     

A Self-Assembled Vertical-Gradient and Well-Dispersed MXene Structure for Flexible Large-Area Perovskite Modules

Advancing hole transport layers (HTL) to realize large-area, flexible, and high-performance perovskite solar cells (PSCs) is one of the most challenging issues for its commercialization. Here, a self-assembled gradient Ti₃C₂T_x MXene incorporated PEDOT:PSS HTL is demonstrated to achieve high-performance large-area PSCs by establishing half-caramelization-based glucose-induced MXene redistribution. Through this process, the Ti₃C₂T_x MXene nanosheets are spontaneously dispersed and redistributed at the top region of HTL to form the unique gradient distribution structure composed of MXene:Glucose:PEDOT:PSS (MG-PEDOT). These results show that the MG-PEDOT HTL not only offers favorable energy level alignment and efficient charge extraction, but also improves the film quality of perovskite layer featuring enlarged grain size, lower trap density, and longer carrier lifetime. Consequently, the power conversion efficiency (PCE) of the flexible device based on MG-PEDOT HTL is increased by 36% compared to that of pristine PEDOT:PSS HTL. Meanwhile, the flexible perovskite solar minimodule (15 cm² area) using MG-PEDOT HTL achieve a PCE of 17.06%. The encapsulated modules show remarkable long-term storage stability at 85 °C in ambient air (≈90% efficiency retention after 1200 h) and enhanced operational lifetime (≈90% efficiency retention after 200 h). This new approach shows a promising future of the self-assembled HTLs for developing optoelectronic devices.     

Flexible Transparent Bifunctional Capacitive Sensors with Superior Areal Capacitance and Sensing Capability based on PEDOT:PSS/MXene/Ag Grid Hybrid Electrodes

Flexible transparent supercapacitors (FTSs) have aroused considerable attention. Nonetheless, balancing energy storage capability and transparency remains challenging. Herein, a new type of FTSs with both excellent energy storage and superior transparency is developed based on PEDOT:PSS/MXene/Ag grid ternary hybrid electrodes. The hybrid electrodes can synergistically utilize the high optoelectronic properties of Ag grids, the excellent capacitive performance of MXenes, and the superior chemical stability of PEDOT:PSS, thus, simultaneously demonstrating excellent optoelectronic properties (T: ≈89%, R_s: ≈39 Ω sq⁻¹), high areal specific capacitance, superior mechanical softness, and excellent anti-oxidation capability. Due to the excellent comprehensive performances of the hybrid electrodes, the resulting FTSs exhibit both high optical transparency (≈71% and ≈60%) and large areal specific capacitance (≈3.7 and ≈12 mF cm⁻²) besides superior energy storage capacity (P: 200.93, E: 0.24 µWh cm⁻²). Notably, the FTSs show not only excellent energy storage but also exceptional sensing capability, viable for human activity recognition. This is the first time to achieve FTSs that combine high transparency, excellent energy storage and good sensing all-in-one, which make them stand out from conventional flexible supercapacitors and promising for next-generation smart flexible energy storage devices.     

Highly Conductive MXene/PEDOT:PSS-Integrated Poly(N-Isopropylacrylamide) Hydrogels for Bioinspired Somatosensory Soft Actuators

Sophisticated sensing and actuation capabilities of many living organisms in nature have inspired scientists to develop biomimetic somatosensory soft robots. Herein, the design and fabrication of homogeneous and highly conductive hydrogels for bioinspired somatosensory soft actuators are reported. The conductive hydrogels are synthesized by in situ copolymerization of conductive surface-functionalized MXene/Poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate) ink with thermoresponsive poly(N-isopropylacrylamide) hydrogels. The resulting hydrogels are found to exhibit high conductivity (11.76 S m⁻¹), strain sensitivity (GF of 9.93), broad working strain range (≈560% strain), and high stability after over 300 loading–unloading cycles at 100% strain. Importantly, shape-programmable somatosensory hydrogel actuators with rapid response, light-driven remote control, and self-sensing capability are developed by chemically integrating the conductive hydrogels with a structurally colored polymer. As the proof-of-concept illustration, structurally colored hydrogel actuators are applied for devising light-driven programmable shape-morphing of an artificial octopus, an artificial fish, and a soft gripper that can simultaneously monitor their own motions via real-time resistance variation. This work is expected to offer new insights into the design of advanced somatosensory materials with self-sensing and actuation capabilities, and pave an avenue for the development of soft-matter-based self-regulatory intelligence via built-in feedback control that is of paramount significance for intelligent soft robotics and automated machines.     

基于MATLAB的同步发电机PSS与励磁系统仿真

在分析同步发电机励磁控制系统模型的基础上,研究了以电力系统稳定器（Power System Stabilizer—PSS）为辅助控制的同步发电机励磁控制方式,并基于MATLAB／SIMULINK构建了包含PSS的励磁控制系统的仿真模型。根据仿真结果分析在电力系统出现不同故障（三线短路以及断线故障）情况下带有PSS的励磁控制系统的控制性能,并与不加载PSS的励磁系统进行了比较,得到了在同步机励磁系统中加载PSS的必要性,为励磁系统的设计提供了依据。