基于白鲸优化算法的配电网故障恢复方法

提出了一种基于白鲸优化（BWO）算法的配电网故障恢复方法。首先,建立光储、风储系统模型以及负荷模型,以故障后重要负荷损失量最小为目标函数,进行配电网的初步孤岛划分。其次,以网络损耗和开关操作次数加权求和最小为目标,采用BWO算法求解,获取孤岛划分与开关操作配合的故障恢复结果。然后,通过3种场景对比,验证了所提方法能够在不同故障时段获得配电网故障恢复的最优结果。最后,将BWO算法与二进制粒子群优化算法、灰狼优化算法的运行结果进行对比,验证了BWO算法寻优效果更好。     

湖北电力调度软交换容灾备用系统建设研究

针对“省为地备、地为县备”的容灾建设机制,文章在分析湖北电力通信调度系统现状的基础上。对通信网络容灾中采用软交换方式建设全省的调度电话备用系统展开讨论。通过建立调度软交换备用系统这种方式来满足容灾机制要求,提高调度交换系统网络安全性,扩展调度通信系统业务新模式。     

低压富气乙烷回收工艺改进

目的国内油田伴生气乙烷回收均采用液相过冷工艺(LSP),解决该工艺在乙烷回收运行工况中存在的能耗较高、回收率较低的问题。 方法基于LSP工艺流程和气相过冷、气液相混合过冷的原理,提出气液两相过冷改进工艺(GLSP)、原料气分流过冷工艺(FGSP),并进行工艺流程对比分析,重点研究改进工艺的特性和对原料气中CO₂的适应性。 结果①GLSP工艺适用于外输气压力低的油田伴生气乙烷回收,具有乙烷回收率高、CO₂适应性强(CO₂摩尔分数为0.5%~2.5%)等特点;②GLSP工艺流程最优增压压力范围为4.0~4.5 MPa,乙烷回收率不宜超过95%;③在原料气中CO₂含量相同的条件下,随着气质变富,脱甲烷塔控制CO₂冻堵的能力不断增强;④在同一气质条件下,装置总能耗随着原料气中CO₂含量的增加而增大。 结论提出的改进工艺提高了乙烷回收率,确定了最优增压范围,并提高了对原料气中CO₂的适应性,为实际低压富气乙烷回收装置设计提供参考。      

IC工厂水的回收与回用

针对不同的芯片工厂类型的用水特点,提出不同的纯水回用方法。     

BDN染料的锁模特性和基态恢复时间

本文报道了国产BDN染料的碘乙烷溶液、吡啶溶液和二甲亚砜溶液的锁模特性和基态恢复时间。     

摇摆结构及自复位结构研究综述

城市桥梁是经济和社会发展的重要基础设施,特别是重要桥梁以及由其构成的网络在灾难发生后如何快速恢复,对社会安定和地区发展十分重要。近年来抗震韧性倍受关注,如何考虑结构可恢复性并将韧性纳入桥梁系统抗震性能综合评估和优化,还存在很多问题尚待研究。该文定量分析桥梁震后恢复过程、剩余功能和修复时间与韧性指标间的联系,建立城市桥梁系统性能评估方法。由桥梁不同损伤状态计算不同恢复过程的剩余功能、修复时间、可恢复性和震后经济损失;对震后恢复过程的功能函数模型给出建议,量化不同震后恢复策略的影响;将韧性纳入城市桥梁系统抗震性能框架中,提出城市桥梁系统震后可恢复性评估框架,对风险高低不同采用不同的修复过程;对震后经济损失、可恢复性和震前修/改造成本采用多目标优化算法NSGA-II求解震前提升韧性优化策略,用于抗震加固措施的选取。通过案例给出了方法流程,也为城市桥梁系统地震韧性提升提供了新思路。     

A heterogeneous multi-criteria multi-expert decision-support system for scoring combinations of flood mitigation and recovery options

In this study, we developed an innovative operational decision-support system (DSS) based on flood data and mitigation or recovery options, that can be used by both naïve and expert users to score portfolios of flood mitigation or recovery measures. The DSS combines exposure (i.e., economic, social, or environmental values at risk) and resilience (i.e., protection of the main equilibrium functions of human and physical systems). Experts from different fields define indices and functions, stakeholders express their attitudes towards risk, relative weights, and risk perceptions, and both groups use a shared learning process for risk assessment. The DSS algorithms include the “technique for order performance by similarity to ideal solution” (TOPSIS) and the “basic linguistic term set” (BLTS) methods for heterogeneous multi-criteria multi-expert decision-making. Decisions are illustrated using fixed or bounded values of flood depth, duration, and frequency, with plausible parameter values, for a case study of Cesenatico. The best mitigation option was construction of sand dunes and development of evacuation plans, which achieved 32% of the potential net benefit. The best recovery option was construction of sand dunes and development of evacuation plans and insurance schemes, which achieved 42% of the potential net benefit. Mitigation options outperformed recovery options whenever the relative importance of exposure with respect to resilience was greater than 95%. Sensitivity analysis revealed that the best mitigation option was most robust with respect to flood duration and depth; the best recovery option was most robust with respect to the relative weights attached to economic, social, and environmental factors. Both options were similarly robust with respect to interdependencies between the options.     

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.     

A mathematical model for the distribution balance of extraction processes from waste batteries

The experiments of metal Cd extraction were carried out three times at oil phase/aqueous phase (O/A)=1 and pH 2.2 by using 1.3 mol/L di(2-ethylhexyl)phosphoric acid (DEHPA) as the agent,with an extraction rate of 99.5%.Experiments on metal Co extraction were done three times at O/A=0.5 and pH 4.7 by using 0.4 mol/L Cyanex 272 as the agent,with an extraction rate of 99.2%.By using equilibrium data and massive calculations to analyze and predict the interaction among the extraction systems,this paper came out with the polynomials of the empirical model as well as their parameter values for the equilibrium concentration of the above two extraction loops.     

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.