基于CPSO-BP神经网络的风电并网暂态电压稳定评估

针对目前传统方法难以快速、准确判断风电并网后系统暂态电压稳定性的问题,提出了一种基于CPSO-BP组合的风电并网暂态电压稳定评估方法。首先采用混沌理论对粒子群算法的不足进行改善,应用改进后的算法对神经网络的初始权值和阈值进行优化,然后利用系统故障前后采集的传统物理量和风电场相关的物理量作为BP神经网络输入特征量进行监督学习,最后将训练得到的模型应用于风电并网系统的暂态电压稳定评估中。利用英格兰10机39节点系统标准算例进行风电并网仿真分析,结果证明了所提方法的有效性。     

基于注意力机制和卷积神经网络的异步电动机三相电压不平衡损耗研究

配电网中三相电压不平衡对异步电动机损耗会造成较大影响。运用等效电路公式分析三相电压不平衡影响下电动机损耗存在精度不稳定、需要参数过多且数学模型过于复杂等问题。针对以上问题,提出一种基于注意力机制和卷积神经网络(CNN)的异步电动机损耗评估方法。该方法将实测电机数据作为输入,引入注意力机制为输入特征赋予不同权重;采用卷积层和全连接层组成的CNN构架对异步电动机实测数据进行学习,最后完成损耗评估。以现场试验得到的电机损耗数据作为实际算例,该方法评估损耗与实测损耗平均误差仅为0.717%和0.549%,并与其他典型机器学习算法进行对比,结果表明所提方法具有更好的损耗评估性能。     

基于参数辨识的电动机过载保护原理研究

随着我国科技水平快速发展,感应电机不再仅仅是传统工农业生产中使用最多的电机,也是电动汽车领域和航天科技等热点问题中应用较为广泛的动力源。对此,电机中的过载保护技术也需要越来越智能化。在传统的电阻法过载保护基础上提出了一种更加智能的保护方法,实现了对电机运行时定子电阻的实时辨识,再通过电阻与温度的关系直接推算出电机内部温度。以一台1DPT160M系列的变频调速感应电机为例进行试验,验证了该方法的可行性,为电机保护器的过载保护技术提供了新方法。     

含蓄热式电采暖的综合能源系统日前优化调度策略研究

以含蓄热式电采暖的综合能源系统日前优化调度运行问题为研究对象,分析了蓄热式电采暖系统运行的各种特点,建立了含蓄热式电采暖的综合能源系统运行优化调度模型。将某典型蓄热电采暖用户场景作为算例进行验证,结果表明通过对蓄热式电采暖运行情况进行优化,可以有效降低其对电网的负荷冲击,减小电网峰谷差,提升电采暖设备的使用效率,大幅降低用户采暖的运行费用。该方法可为蓄热式电采暖用户参与和电网互动、促进可再生能源消纳、提升采暖系统经济运行水平、降低电网峰谷差以及促进蓄热式电采暖系统推广等提供参考依据。     

柔性高压直流输电仿真技术研究方法综述

柔性直流输电工程应用前景广阔,采用各种高精度高效率仿真技术对柔性直流系统进行理论分析和运行特性研究是柔性直流技术发展的关键;实时数字仿真、物理动模仿真和数字物理混合仿真是常用的系统仿真研究方法。总结柔性直流输电系统结构及核心装备;分别介绍三种仿真方法,从基本理论与算法原理、实现方式和柔直装备建模方法等方面进行论述,并总结各种方法的适用性和优缺点。最后,对柔性高压直流输电仿真技术的发展趋势和关键问题进行了总结和展望,提出了几点可能的研究思路。     

高风电渗透率下考虑需求侧管理策略的智能微电网调度方法

提出了一种高风电渗透率下考虑需求侧管理策略的智能微电网调度方法。首先,考虑经济、环境成本指标、清洁能源就地消纳量以及可中断负荷和可转移负荷策略,建立了多目标优化调度模型。然后,引入ε约束法生成Pareto前沿解集,利用归一化方法求出最优折衷解。最后,基于24节点配电系统对所提方法进行分析验证。算例结果表明:建立的多目标优化模型能够有效提升清洁能源的消纳率,提高调度方案经济性,同时有效降低发电污染排放。采用的需求侧管理策略能够有效平抑负荷波动,达到削峰填谷的目的。     

Equivalent model of multi-type distributed generators under faults with fast-iterative calculation method based on improved PSO algorithm

There are various types of distributed generators (DGs) with diferent grid integration strategies. The transient char? acteristics of the fault currents provided by the DGs are diferent to those of conventional synchronous generators. In this paper, a distribution network with multi-type DGs is investigated, including consideration of DG low-voltage ride through (LVRT). The fault current characteristics of two typical DGs, i.e. an inverter-interfaced distributed generator (IIDG) and a doubly-fed induction generator (DFIG), are analyzed, considering the specifc operation modes. Based on analysis of the fault characteristics, an equivalent model of the multi-type DGs under symmetrical/asymmetrical fault conditions is established. A fast-iterative fault calculation method for enhancing the calculation efciency while avoid? ing local convergence is then proposed using an improved particle swarm optimization (PSO) algorithm. A simula? tion system of the distribution network with multi-type DGs is established in PSCAD/EMTDC. The simulation results validate the high accuracy and calculation efciency of the proposed calculation method of the fault components. This can assist in the settings of the protection threshold.     

Damping forced oscillations in power system via interline power flow controller with additional repetitive control

With the continuous expansion of power systems and the application of power electronic equipment, forced oscillation has become one of the key problems in terms of system safety and stability. In this paper, an interline power flow controller (IPFC) is used as a power suppression carrier and its mechanism is analyzed using the linearized state-space method to improve the system damping ratio. It is shown that although the IPFC can suppress forced oscillation with well-designed parameters, its capability of improving the system damping ratio is limited. Thus, combined with the repetitive control method, an additional repetitive controller (ARC) is proposed to further dampen the forced power oscillation. The ARC control scheme is characterized by outstanding tracking performance to a system steady reference value, and the main IPFC controller with the ARC can provide higher damping, and further reduce the amplitude of oscillations to zero compared with a supplementary damping controller (SDC). Simulation results show that the IPFC with an ARC can not only greatly reduce the oscillation amplitude, but also actively output the compensation power according to the reference value of the ARC tracking system.     

Magic Peptide: Unique Properties of the LRR11 Peptide in the Activation of Leukotriene Synthesis in Human Neutrophils

Neutrophil-mediated innate host defense mechanisms include pathogen elimination through bacterial phagocytosis, which activates the 5-lipoxygenase (5-LOX) product synthesis. Here, we studied the effect of synthetic oligodeoxyribonucleotides (ODNs), which mimic the receptor-recognized sites of bacterial (CpG-ODNs) and genomic (G-rich ODNs) DNAs released from the inflammatory area, on the neutrophil functions after cell stimulation with Salmonella typhimurium. A possible mechanism for ODN recognition by Toll-like receptor 9 (TLR9) and RAGE receptor has been proposed. We found for the first time that the combination of the magic peptide LRR11 from the leucine-rich repeat (LRR) of TLR9 with the CpG-ODNs modulates the uptake and signaling from ODNs, in particular, dramatically stimulates 5-LOX pathway. Using thickness shear mode acoustic method, we confirmed the specific binding of CpG-ODNs, but not G-rich ODN, to LRR11. The RAGE receptor has been shown to play an important role in promoting ODN uptake. Thus, FPS-ZM1, a high-affinity RAGE inhibitor, suppresses the synthesis of 5-LOX products and reduces the uptake of ODNs by neutrophils; the inhibitor effect being abolished by the addition of LRR11. The results obtained revealed that the studied peptide-ODN complexes possess high biological activity and can be promising for the development of effective vaccine adjuvants and antimicrobial therapeutics.     

咪唑啉缓蚀剂工艺条件优化及效果

在减缓金属腐蚀的研究中,为了缓解在酸性溶液、碱性溶液以及大气、土壤等介质中金属腐蚀较为严重的问题,对咪唑啉类缓蚀剂进行了工艺条件优化.采用静态失重法研究了碳钢在加入了缓蚀剂的盐酸溶液中的缓蚀性能.在最佳合成条件下苯甲酸与二乙烯三胺最佳摩尔比为1∶1.3,催化剂质量分数为1.2%,环化时间为1 h,咪唑啉中间体与氯化苄的最佳摩尔比为1∶1.1,季铵化反应时间为1 h,季铵化反应温度为70 ℃,缓蚀剂的最佳质量分数为1%,最终缓蚀率可以达到99.37%.