计及Spark和属性权重的售电套餐推荐方法

针对电力市场用户群庞大，交易过程中售电套餐选择困难的问题，在Spark环境下设计了一种售电套餐推荐方法，同时也解决了售电套餐推荐过程中在大数据环境下的可扩展性及实时性问题。首先，计算出每个套餐属性的权重值，从而计算得到售电套餐综合相似度。然后，计及用户和套餐两方面提出一种售电套餐推荐方法，实现售电套餐的精准推荐。实验表明，提出的推荐方法能够明显提高推荐的准确度，并且在分布式环境下具有良好的推荐效率和可扩展性。     

PMU based voltage security assessment of power systems exploiting principal component analysis and decision trees

The need for feature selection and dimension reduction is felt as a fundamental step in security assessment of large power systems in which the number of features representing the state of power grids dramatically increases. These large amounts of attributes are not proper to be used for computational intelligence (CI) techniques as inputs, because it may lead to a time consuming procedure with insufficient results and they are not suitable for on-line purposes and updates.This paper proposes a combined method for an online voltage security assessment in which the dimension of the token data from phasor measurement units (PMUs) is reduced by principal component analysis (PCA). Then, the features with different stability indices are put into several categories and feature selection is done by correlation analysis in each category. These selected features are then given to decision trees (DTs) for classification and security assessment of power systems.The method is applied to 39-bus test system and a part of Iran power grid. It is seen from the results that the DTs with reduced data have simpler splitting rules, better performance in saving time, reasonable DT error and they are more suitable for constant updates.     

RETRACTED ARTICLE: Intelligent traffic monitoring and traffic diagnosis analysis based on neural network algorithm

Traffic sign recognition and lane detection play an important role in traffic flow planning, avoiding traffic accidents, and alleviating traffic chaos. At present, the traffic intelligent recognition rate still needs to be improved. In view of this, based on the neural network algorithm, this study constructs an intelligent transportation system based on neural network algorithm, and combines machine vision technology to carry out intelligent monitoring and intelligent diagnosis of traffic system. In addition, this study discusses in detail the core of the monitoring system: multi-target tracking algorithm, and introduces the complete implementation process and details of the system, and highlights the implementation and tracking effect of the multi-target tracker. Finally, this study uses case identification to analyze the effectiveness of the algorithm proposed by this paper. The research results show that the proposed method has certain practical effects and can be used as a reference for subsequent system construction.

     

储能型双馈风电场联合STATCOM的无功协调控制

针对传统双馈风电机组(DFIG)低电压穿越(LVRT)能力不足问题,提出了储能型双馈风电场联合STATCOM的无功协调控制。该控制是在网侧变流器（GSC）原有的模型上将超级电容经隔离型DC/DC变换器并联到风机直流侧,以此吸收故障期间直流侧产生的不平衡功率;在发生低电压故障时,根据超级电容投入情况,对两侧变流器和并联在风机出口母线上的STATCOM进行无功协调控制来支撑电网电压;同时超级电容储能装置采用电压电流双闭环控制,满足了系统稳定性和经济性的要求。仿真结果表明：该方法应用在风电并网系统中可以使DFIG的LVRT能力得到极大的提升。     

SVPWM在有源滤波器中的应用及仿真研究

有源滤波器控制策略的优劣直接决定其滤除谐波的性能,采用空间矢量脉宽调制技术实现对谐波的调制,并进行仿真验证.仿真结果表明,该算法产生的脉宽指令作为逆变器中各开关器件的通断控制信号,控制的结果能保证补偿电流实时跟踪其指令电流的变化,精确度与准确度均可满足系统要求.     

固定化基因工程菌应用于水环境污染治理的研究进展

固定化细胞技术和基因工程技术在环境污染物治理领域是新兴技术。本文综述了近年来固定化细胞技术和基因工程技术在水环境污染治理中的研究及应用情况。通过固定化基因工程菌处理废水的一系列成功实验,表明了其在废水好氧反硝化等水环境污染治理中的广阔应用前景。     

和谐校园学风建设的调查与思考

大学校园的学风是学校师生整体精神面貌的全面反映,也是学生健康成才的软环境,但是当前和谐校园学风建设出现很多不和谐现象,主要原因是受到学习态度、学习环境和教学环境的影响。要通过加强特殊学生过程管理,发挥党员先锋模范作用和培养学生科技和社会实践能力等途径促进大学生综合素质的提高,推动和谐校园学风建设。     

一类具有时空时滞的Musca domestica苍蝇模型的行波解的存在性

通过单调迭代和上、下解技术,研究了一类具有时空时滞的Musca domestica苍蝇模型行波解的存在性,证明了当时滞充分小时,方程具有连接两个平衡点的单调的行波解。     

电力系统备用容量模型

发电设备合理备用容量和备用率问题是电力系统中的一个特殊问题。本文在等效持续负荷曲线概念的基础上,利用曲线拟合的思想,得出了负荷与时间的函数关系式,进一步求得合理备用容量和备用率。     

反渗透前处理调整和运行工况优化研究

以某热电厂反渗透(RO)系统以及反渗透系统在使用过程中出现的问题为例,重点介绍了反渗透膜投运后发生的污堵问题,并根据现场实际情况提出了解决方案。通过小型试验,对预处理系统的加药量和反渗透系统的运行方式和运行参数进行了调整,保证了系统安全稳定和经济运行。