Mechanisms explaining the role of viscosity and post-deglutitive pharyngeal residue on in vivo aroma release: A combined experimental and modeling study

The objective of this study was to analyse the viscosity effect of liquid Newtonian products on aroma release, taking human physiological characteristics into account. In vivo release of diacetyl from glucose syrup solutions varying widely in viscosity (from 0.7 to 405 mPa s) was assessed by five panelists using Proton Transfer Reaction Mass Spectrometry (PTR-MS). The physicochemical properties of the solutions and the physiological parameters of subjects were experimentally measured.     

Delayed release matrix pellet preparation containing an alkalizing pore-former agent

The aim of this study was to develop a delayed-release matrix pellet containing atenolol as active pharmaceutical ingredient. The matrix additionally contained trisodium phosphate dodecahydrate as alkalizing pore-former agent to enhance the dissolution of the atenolol at pH 6.8. The delayed release was ensured by coating with a gastro-resistant polymer. For this purpose, an acryl EZE MP aqueous dispersion was used, which is suggested in the literature for pellet coating. Before this functional film coating, a protective polymer layer was developed, to prevent direct contact between the alkalizing layer and the acryl EZE. The results of in vitro dissolution tests demonstrated that the double-coated pellet preparation is a delayed-release solid dosage form.     

基于GMDH算法的配电网线损数据预处理研究

针对当前配电网线损计算的特点及数据存在缺失、异常等情况,基于数据分组处理算法(GMDH)建立了配电网线损缺失数据的预处理模型,实现对线损缺失数据的预处理。模型基于最邻近算法确定因变量和自变量缺失值的上下限,并进行随机插补,建立所有变量的数据分组处理模型,寻找最优复杂度模型,计算缺失值并进行迭代循环。算例结果表明,模型计算结果误差小、运算速度快,对缺失的线损数据能进行有效的动态更新,提升了数据质量,优化线损计算分析结果。     

Optimal Automatic Generation Control of Asynchronous Power Systems Using Output Feedback Control Strategy with Dynamic Participation of Wind Turbines

Abstract—This article presents the design of optimal output feedback automatic generation control regulators for an interconnected power system with dynamic participation of doubly fed induction generator based wind turbines. The power systems consist of plants with hydro-thermal turbines and are interconnected via parallel AC/DC links. Efforts have been made to propose optimal automatic generation control regulators based on feedback of output state variables, which are easily accessible and available for the measurement. The designed optimal output feedback automatic generation control regulators are implemented, and the system dynamic responses for various system states are obtained considering 1% load perturbation in one of the areas. The dynamic performance is compared with that obtained with optimal automatic generation control regulators designed using full state vector feedback. The pattern of closed-loop eigenvalues is also determined to test the system stability.     

Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models

Abstract—This article presents a non-linear programming-based model for the optimal placement of phasor measurement units. The optimal phasor measurement units placement is formulated to minimize the number of phasor measurement units required for full system observability and to maximize the measurement redundancy at all buses in a power system. A sequential quadratic programming algorithm is used for the solution of the proposed model. The existence of power flow and injection measurements, the limited phasor measurement units channel capacity, the lack of communication facilities in substations, and the single phasor measurement units loss are also incorporated into the initial proposed formulation. The non-linear programming model is applied to IEEE 14- and 118-bus test systems in MATLAB. The accuracy and the effectiveness of the proposed method is verified by comparing the simulation results to those obtained by a binary integer programming model also implemented in MATLAB. The comparative study shows that the proposed non-linear programming model yields the same number of phasor measurement units as the binary integer programming model. A remarkable advantage of the non-linear programming against binary integer linear programming is its capability to give more than one optimal solution, each one having the same minimum number of phasor measurement units (same minimum objective value), but at different locations.     

Hybrid Fuzzy-particle Swarm Optimization-simplex (F-PSO-S) Algorithm for Optimum Design of PM Drive Couplings

This paper aimed at exploring the use of the proposed hybrid Fuzzy-Particle Swarm Optimization-Simplex (F-PSO-S) algorithm to optimize the structural design of PM couplings subject to several key design constraints. The new proposed hybrid optimization algorithm is constructed based on combining three well-known techniques: fuzzy logic (FL), particle swarm optimization (PSO), and simplex method (SM). FL is used to aggregate different scaling and/or conflicting objectives in one objective function using fuzzy combination operators. On the other hand, the PSO has obvious capabilities in global search whereas the SM has exceptional advantages in local search. As a hybrid algorithm, the F-PSO-S has the outstanding feature of combining the ability of global searching and local canvassing for different scales and/or conflicting objective functions. The proposed algorithm has been applied to permanent magnet (PM) drive couplings. A standard coupling design is used as a good initial point for the conventional SM and to define the performance constraints for the proposed optimization technique. New coupling designs are developed and optimized to show the superior capabilities of the F-PSO-S algorithm as a global optimization technique. The sensitivity analysis is also performed to identify the effects of different design parameters on the coupling performance.     

基于多状态建模的独立型微网优化配置

针对风速、光照强度和负荷不确定性对独立型微网优化配置的影响,应用三者的概率密度函数对每个月份构造典型日,利用多状态系统理论对典型日各个时刻风光出力和负荷进行了多状态建模。以经济性和环保性为目标,建立了基于多状态建模的独立型微网多目标优化配置模型,并采用改进的非劣排序遗传算法(NAGA-Ⅱ)对模型进行了求解。最后,针对某一算例分别使用所提出的优化配置方法和已有的基于确定历史场景的优化配置方法进行了仿真计算,通过对仿真结果在若干随机场景下的比较分析,验证了所提优化配置模型和方法的合理性和有效性。     

考虑用户定量需求的优质电力园区DVR优化配置

优质电力园区是针对区域性高品质供电问题的一种有效解决方案,其中定制电力设备配置方案的确定是园区规划建设的重要内容。针对园区中动态电压恢复器(dynamic voltage restorer,DVR)的配置问题,提出一种考虑用户短时电压质量定量需求的DVR优化配置策略。基于过程抗扰时间和物理参数变化曲线,将用户对过程运行状态需求映射为短时电压质量需求,实现用户需求量化;以DVR投资最少为目标,满足用户需求为约束,建立DVR优化配置模型,用Tabu搜索算法求解,得到优化配置方案。对典型园区的仿真结果表明,该方法所得配置方案经济、可行,能在满足用户短时电压质量定量需求的同时,保证DVR投资最少。     

三电平逆变器新型简化算法及其优化控制

针对NPC三电平逆变器提出一种新型简化控制算法,该算法无需扇区判断和查表,根据三相瞬时相电压即可快速计算出各开关管的切换时刻;为解决NPC三电平逆变器固有的电容电压平衡问题,采用平衡因子法精确控制电容电压,并通过最优空间矢量位置理论对平衡因子进行优化,在精确控制电容电压的同时改善输出谐波特性。实验结果证明了简化控制算法以及电容电压平衡方法的有效性。     

直流接触器断电不释放问题分析与研究

针对某型直流幅压接触器断电不释放问题,主要从接触器在长时间通电后,铁心剩磁因积累效应而增大产生的剩磁力,以及上下铁心吸合时极面上的防锈油漆在高温下出现较大黏结力两个方面进行了分析与研究。详细叙述了剩磁力和油漆黏结力对接触器的影响,通过计算和试验验证,明确了油漆黏结力高温下较大导致某型直流接触器断电不释放,并提出了相应的改进措施。