Multi Type Research Articles

Application and Architecture of Power Dispatching & Distribution System Using Big Data Technology

As the new energy resources including scenery storage have been well accessed into power grid, the operation process of power dispatching and distribution involves the massive, multi type, high complex data which contain the real-time data, plan data, warning and monitoring data, environmental data. Nowadays, the application of big data focused on single analysis of structured and semi-structured data. And the deep learning analysis hasn’t been concerned, transforming power gird data into knowledge is the inevitable trend in the development of smart grid. In this paper, the power dispatching and distribution data were analyzed in detail from the data source, data characteristics, the trend of application etc. According to the new requirement of smart grid now and in the future, the potential application with big data technology was studied in the field of smart grid and the reference opinions was provide by intelligent analysis and decision which are accurate, security, economic, comprehensive optimal features. Finally, to meeting requirement of the power dispatching & distribution data analysis, power dispatching and distribution data system architecture was designed which is an integrated software/hardware, storage-computation-communication trinity. And it was proved that power dispatching and distribution data system architecture have strong supporting, service and safety ability.

Study of post marketing safety reevaluation of Shenqi Fuzheng injection

In order to promote the Shenqifuzheng injection (SQFZ) clinical medication safety, this study reevaluate on SQFZ post marketing safety study systematically. Including multi center large sample registration type safety monitoring research, the analysis based on national spontaneous reporting system data, the analysis based on the 20 national hospital information system data and literature research. Above the analysis, it suggests that SQFZ has good security. The more adverse drug reaction (ADR) as allergic reactions, mainly involved in the damage of skin, appendages and its systemic damage, serious person can appear allergic shock. ADR/E is more common in the elderly, may be related to medication (tumor) populations. Early warning analysis based on SRS data and literature research are of the view that "phlebitis" has a strong association with SQFZ used.

Почвенные условия произрастания лесной растительности северных районов Предволжья

Conducting soil studies are relevant in determining the subordination of forest types and biodiversity of vegetation to soil taxa, in determining the dependence of basic forest stand productivity from soil conditions, in creating a land registry and economic assessment of forest land, in studying the soil evolution of forest plantations under the impact of anthropogenic influences. Soil is the most important environmental factor in shaping the productivity and biodiversity of forest phytocenosis. The study of forest soils is also important in terms of basic research of their genesis, evolution. The article presents the results of research of soil conditions of vegetation growth of forest ecosystems of northern regions of Volga of the Republic of Tatarstan. The main types of forest soils are characterized in the paper. The studied forest formations grow on various soils on genesis and forest vegetation properties: sod-podzol, gray forest, brown forest, brown forest sandy, alluvial meadow, rendziny soil. The granulometric structure of soils varies from sandy to the clay. The well structured soils are formed on loamy layers under forest phytocenosis canopy. Pine and spruce ecosystems have a medi-decomposed litter of moder and multi-moder types; linden, oak, birch and aspen biogeocoenoses have strong-decomposed litter of multi type, that characterizes the intense biological cycle of substances in forest ecosystems. The wide range of place conditions of territories causes the biological diversity of forest vegetation at the level of species and ecosystems.

A New Mathematical Model for Multi Product Location-Allocation Problem with Considering the Routes of Vehicles

Facility location-allocation (FLA), which has been proved to be a valuable method in siting service facility, is widely used in real life, such as emergency service systems, telecommunication net works, public services, etc.FLA provides a valuable method in deciding where to place facilities coupled with determining how to assign demand to the located facilities in order to utilize resources effectively. This paper presents a new mathematical model for locating and allocating in transportation system in which each production center can produces multi type of products. The objective is to minimize the total costs in the production and transportation systems such as: fixed cost of opening the production centers, total production cost and total transportation cost that are entered to system by vehicles.

Multi types DG expansion dynamic planning in distribution system under stochastic conditions using Covariance Matrix Adaptation Evolutionary Strategy and Monte-Carlo simulation

This paper presents a dynamic DG planning problem considering uncertainties related to the intermittent nature of the DG technologies such as wind turbines and solar units in addition to the stochastic economic conditions. The stochastic economic situation includes the uncertainties related to the fuel and electricity price of each year. The Monte Carlo simulation is used to generate the possible scenarios of uncertain situations and the produced scenarios are reduced through backward reduction program. The aim of this paper is to maximize the revenue of the distribution system through the benefit cost analysis alongside the encouraging and punishment functions. In order to close to reality, the different growth rates for the planning period are selected. In this paper the Covariance Matrix Adaptation Evolutionary Strategy is introduced and is used to find the best planning scheme of the DG units. The different DG types are considered in the planning problem. The main assumption of this paper is that the DISCO is the owner of the distribution system and the DG units. The proposed method is tested on a 9 bus test distribution system and the results are compared with the known genetic algorithm and PSO methods to show the applicability of the CMAES method in this problem.

Power System Loadability Maximization by Optimal Placement of Multiple-Type FACTS Devices Using PSO Based GUI

This paper presents a graphical user interface (GUI) uses Particle Swarm Optimization (PSO), which is used to find the optimal locations and sizing parameters of multi type Flexible AC transmission systems (FACTS) devices in complex power systems. The GUI toolbox, offers user to choose a power system network, PSO settings and the type and number of FACTS devices for the selected network. In this paper, three different FACTS devices are implemented: SVC, TCSC and TCPST. FACTS devices are used to increase the system loadability, by reducing power flow on overloaded lines, transmission line losses, improving system stability and security. With this can make the transmission system more energy-efficient. PSO used here for optimally allocating and sizing the multiple type FACTS in a standardized power network (IEEE 30 bus system) in order to improve voltage profile, minimizing power system total losses and maximizing system loadability with respect to the size of FACTS.

Design and Control Architecture of a Small Mobile Robot with Hybrid Locomotion System

This paper presents design and control architecture of a small mobile robot with hybrid locomotion system. It consist the combination of wheel and track type motion system resulting as a hybrid mechanism. The wheel locomotion system helps the robot to move on flat surface or path platform with high velocity, high manoeuvrability at low energy consumption. The track system is designed for rough and unstructured path, where robot need to cross irregular surface with high stability. This system works on interchangeable locomotion phenomena by means of track tensioner unit (TTU). The TTU helps the loading and unloading of track system by means of rack and pinion mechanism. This design of small hybrid mobile robot is improves robot applications and also enhance its flexibilty, verstality to work in multi type of terrains.

Multi-Level Complex Network Control System Based on Cloud Services Platform

Aiming at the access control problem of the cloud service platform, puts forward the control scheme of multi-level system for multi type coordination.By the definition of cloud services platform multi access control object system,constructs multidimensional Boolean relation matrix. The semantic relation of Boolean matrices, design of large-scale complex network node control system model, and simulate the hierarchical network loop control model.Through the analysis of network model, shows that the research results can better support for cloud services platform in multi-level access, dynamic authorization complexity problems in management control.

Solution of Nonlinear High Order Multi-Point Boundary Value Problems By Semi-Analytic Technique

In this paper, we present new algorithm for the solution of the nonlinear high order multi-point boundary value problem with suitable multi boundary conditions. The algorithm is based on the semi-analytic technique and the solutions are calculated in the form of a rapid convergent series. It is observed that the method gives more realistic series solution that converges very rapidly in physical problems. Illustrative examples are provided to demonstrate the efficiency and simplicity of the proposed method in solving this type of multi- point boundary value problems.

Solution of Nonlinear High Order Multi-Point Boundary Value Problems By Semi-Analytic Technique

In this paper, we present new algorithm for the solution of the nonlinear high order multi-point boundary value problem with suitable multi boundary conditions. The algorithm is based on the semi-analytic technique and the solutions are calculated in the form of a rapid convergent series. It is observed that the method gives more realistic series solution that converges very rapidly in physical problems. Illustrative examples are provided to demonstrate the efficiency and simplicity of the proposed method in solving this type of multi- point boundary value problems.

The Research on Various QoS Restrains Routing Protocol Base on Game Theory of WMSN

This paper put forward an improved MMSPEED routing algorithm basing on Game Theory through detail researches and analysis of existing routing protocol and combining the specialties of Wireless Multimedia Sensor Network (WMSN). This algorithm takes advantage of Nash Equilibrium to pick out the optimal path of revenue from source node to sink node; and elect paths which are suitable to different information to process information transmission by adjusting revenue function, considering there are various information types in WMSN and different information has different demands to QoS. Simulation tests indicate the improved protocol is better-adapted toWMSN where multi types of information coexist, and balance the energy consumption under the circumstance of less rising of frame loss rate,to prolong the working time, and also improve the instantaneity and reliability.

Optimal Allocation of Multi-Type FACTS Devices for Loadability Improvement in the Power System Using Evolutionary Computation Techniques

Flexible Alternating Current Transmission Systems (FACTS) got in the recent years a well known term for higher controllability in power systems by means of power electronic devices. FACTS devices can effectively control the load flow distribution, improve the usage of existing system installations by increasing transmission capability, compensate reactive power, improve power quality, and improve stabilities of the power network. However, the location and settings of these devices in the system plays a significant role to achieve such benefits. This work presents the application of Real Coded Genetic Algorithm (RGA) and Particle Swarm Optimisation (PSO) for finding out the optimal locations, and the optimal parameter settings of multi type FACTS devices to achieve maximum system loadability (MSL) in the power system. The FACTS devices used are Thyristor Controlled Series Capacitor (TCSC) and Unified Power Flow Controller (UPFC). The reactance model of TCSC and the decoupled model of UPFC are considered in this work. The thermal limits of the line and voltage limits of the buses are taken as constraints during the optimization. Simulated Binary Crossover (SBX) and Non-uniform polynomial mutation are employed to improve the performance of the Genetic Algorithm used. Simulations are performed on IEEE 6 bus and 30 bus power systems. The obtained results are encouraging and show the effectiveness of RGA over PSO algorithm

Investigation of the psychosocial reaction of HPV infected women

Objective To study the psychosocial impact and the level of anxiety of the HPV infected women so as to provide reference evidence for designing psychosocial interventions program .Methods Self-made questionnaire and self-rating anxiety scale （ SAS） were used to investigate the psychosocial impact and the level of anxiety of 287 HPV infected women .Results The common psychosocial impact was stigma , fear and self-blame.The SAS scores of one type HPV infected group and multi type HPV infected group were （53.17 ± 13.73） and （55.42 ±10.64） scores,respectively, there was no significant difference between the two groups （t=0.653,P＆gt;0.05）.The SAS scores of high-risk subtype HPV infected group and low-risk subtype HPV infected group were （68.14 ±16.73） and （40.25 ±9.07） scores, respectively,and the SAS scores of high-risk subtype HPV infected group was higher than that of low-risk subtype HPV infected group （ t =2.625, P ＆lt;0.01）.Conclusions Common psychosocial impact of HPV infected women was stigma , fear and self-blame. The SAS score of high-risk subtype HPV infected group was higher than that of low-risk subtype . Key words: Human papillomavirus; Gene; Cervical cancer; Psychosocial impacts

Patterns of Childcare Arrangements and Cognitive Development

Objectives: The current study investigated (a) whether identifiable patterns of childcare arrangements from birth to 51 months exist and (b) whether these patterns moderate cognitive development from 18 months to 51 months in relation to maternal stimulation of language and infant difficult temperament controlling for SES and child gender. Methods: Of the 1201 who participated in the Families, Children Childcare Study, 978 were included in the current study. Data were collected when children were 3, 18, 36 and 51 months old regarding their mother-reported childcare arrangements, mother-reported child temperament and objective tests of cognitive and language abilities. Results: Six prevailing patterns of childcare arrangements were identified. Variations were found across these in predicting cognitive development. For all types, cognitive ability at 18 months influenced language ability at 36 months, which in turn influenced cognitive ability at 51 months. Cognitive scores at 18 months were directly and significantly influential on cognitive ability at 51 months only in the ‘maternal to centre-based care’ and ‘multi types’ patterns of childcare. Early and ongoing centre-based care predicted higher language ability at 36 months but its impact was not evident at 51 months. When girls entered centre-based care after they were 3 years old, their cognitive scores were negatively influenced. Low family SES was a risk factor for language ability at 36 months when children were not introduced to any non-parental care before the age of three years. Conclusion: This study helped to understand that the particular childcare pathway from birth to the start of school interacts with family and child factors to contribute to child cognitive outcomes at 51 months. This information should be relevant to families as they make decisions about when to start or stop different types of child care during infancy and preschool years.

N-policy for a multi-component machining system with imperfect coverage, reboot and unreliable server

This investigation aims at predicting the transient performance measures of a machining system comprising of M operating units and multi types of warm standbys under the care of a single unreliable server. To deal with more realistic situations, the concepts of imperfect recovery and reboot delay are also incorporated. The queue size distribution is obtained by using the matrix method. The explicit expressions for various performance measures such as reliability, throughput, expected number of failed units in the system, failure frequency of the server, etc. are obtained. A numerical illustration is presented to demonstrate the practical application of the proposed model in the flexible manufacturing systems.

Development of “one-pot” method for multi-class compounds in porcine formula feed by multi-function impurity adsorption cleaning followed ultra-performance liquid chromatography–tandem mass spectrometry detection

A novel and efficient determination method for multi-class compounds including β-agonists, sedatives, nitro-imidazoles and aflatoxins in porcine formula feed based on a fast "one-pot" extraction/multifunction impurity adsorption (MFIA) clean-up procedure has been developed. 23 target analytes belonging to four different class compounds could be determined simultaneously in a single run. Conditions for "one-pot" extraction were studied in detail. Under the optimized conditions, the multi-class compounds in porcine formula feed samples were extracted and purified with methanol contained ammonia and absorbents by one step. The compounds in extracts were purified by using multi types of absorbent based on MFIA in one pot. The multi-walled carbon nanotubes were employed to improved clean-up efficiency. Shield BEH C18 column was used to separate 23 target analytes, followed by tandem mass spectrometry (MS/MS) detection using an electro-spray ionization source in positive mode. Recovery studies were done at three fortification levels. Overall average recoveries of target compounds in porcine formula feed at each levels were >51.6% based on matrix fortified calibration with coefficients of variation from 2.7% to 13.2% (n=6). The limit of determination (LOD) of these compounds in porcine formula feed sample matrix was <5.0 μg/kg. This method was successfully applied in screening and confirmation of target drugs in >30 porcine formula feed samples. It was demonstrated that the integration of the MFIA protocol with the MS/MS instrument could serve as a valuable strategy for rapid screening and reliable confirmatory analysis of multi-class compounds in real samples.

Optimal Choice and Location of Multi Type Facts Devices in Deregulated Electricity Market Using Evolutionary Programming Method

Optimal Choice and Location of Multi Type Facts Devices in Deregulated Electricity Market Using Evolutionary Programming Method

A Heuristic Algorithm to Study the Influence of Road Preference on Network Capacity

In this study, an algorithm was proposed to study the influence of road preference on the network capacity in urban transportation system. Of particular interest is to model the discrete choice model with respect to the road preference and the travel time. New formulations are presented in terms of the multi-objective road preference modeling and the travel time modeling for multi vehicle types. Compared with existing techniques, an improved heuristic method is put forward to explore the network capacity.

Optimal placement of multitypes DG as independent private sector under pool/hybrid power market using GA-based Tabu Search method

The new idea of this paper is investigation the effect of bilateral contract between Disco and upstream network and between Disco-Customers in supplying demand power of customers based on hybrid power market rules. In this paper, an optimal location of multi types of distributed generation as independent private sector in a distribution system under pool and hybrid based electricity market in order to cover a constant demand power using bilateral contract for selling fixed value power with certain price value during every condition of market by upstream network to is presented and discussed. The hybrid market considered in this paper consists of four independent sectors and participants, as (1) DG owners, (2) distribution company known as Disco, (3) Independent Supervisor Operator (ISO) in order to superintend on market situation and finally (4) Customers. Based on hybrid electricity operation, in this study it is supposed that in every condition Disco using bilateral contract with 63/20 substation, purchase constant power with certain price and sell it to customers with another contract. Of course due to this bilateral contract, the operation cost of Disco increases and on the other hand the reliability of system increases and the revenue obtained from decreasing energy not supplied load is the important subject that is considered and analyzed in this research.In this research, GA-based Tabu Search method (GATS) is investigated and analyzed in order to optimal location of DG units with certain capacity but with multi types for optimizing net present worth subject to economical, technical, and market constraints. The costs include capital cost, replacement cost, operation and maintenance cost, fuel cost, production cost, and reliability improvement cost.

Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution

In this paper, a simple strategy based differential evolution was proposed for solving the problem of multi-objective environmental optimal power flow considering a hybrid model (Wind-Shunt-FACTS). The DE algorithm optimized simultaneously a combined vector control based active power of wind sources and reactive power of multi STATCOM exchanged with the electrical power system to minimize fuel cost and emissions. The proposed strategy was examined and applied to the standard IEEE 30-bus with smooth cost function to solve the problem of security environmental economic dispatch considering multi distributed hybrid model based wind and STATCOM controllers. In addition, the proposed approach was validated on a large practical electrical power system 40 generating units considering valve point effect. Simulation results demonstrate that choosing the installation of multi type of FACTS devices in coordination with many distributed wind sources is a vital research area.