Active distribution network (ADN) technology, as an important trend of the future smart distribution grid, is able to effectively absorb distributed energy resource (DER), to reasonably optimise grid-load operation ch...
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Active distribution network (ADN) technology, as an important trend of the future smart distribution grid, is able to effectively absorb distributed energy resource (DER), to reasonably optimise grid-load operation characteristics, and to safely support the reliability of power supply. Through enhancing energy utilisation efficiency and friendly interaction with user access, ADN technology is also able to comprehensively improve the power supply reliability of the distribution network. However, distributed feeder automation (FA), as an important part of ADN technology, will also meet new problems and challenges with the access of DER in the distribution network. The formal method can analyse the correctness and effectiveness of a distributed fault processing algorithm from mathematical logic, which provides an important theoretical basis for distributed fault processing. The focus herein is on the formal description and verification of topology modelling in fault location, isolation, and service restoration (FLISR) based on distributed processing. By abstracting and simplifying the complex power system features, the adaptability of the formal method is solved. The logical correctness of the topology model in FLISR based on distributed processing is verified. Finally, the distributed local topology model and algorithm is verified through a formal method using an actual ADN example.
The purpose of this paper is to formally describe new optimization models for telecommunication networks with distributed processing. Modem distributed networks put more focus on the processing of information and less...
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The purpose of this paper is to formally describe new optimization models for telecommunication networks with distributed processing. Modem distributed networks put more focus on the processing of information and less on the actual transportation of data than we are traditionally used to in telecommunications. This paper introduces new approaches for modelling decision support at operational, tactical and strategic levels. One of the main advantages of the technological framework we are working within is its inherent flexibility, which enables us to dynamically plan and consider uncertainty when decisions are made. When we present the models, emphasis is placed on the modelling discussions around the shift of focus towards processing, the new technological aspects, and how to utilize flexibility to cope with uncertainty.
In nuclear power generation plants, many computer systems are utilized for more safe, reliable power plant operation. Personnel Dosimetry Monitoring and Management System is one of them. In nuclear power plants, in or...
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In nuclear power generation plants, many computer systems are utilized for more safe, reliable power plant operation. Personnel Dosimetry Monitoring and Management System is one of them. In nuclear power plants, in order to provide protection to man from radiation exposure, very accurate, fast, and predictive management of radiation exposure dose to personnel has to be done. Therefore in conventional systems the staff had to perform the laborious and time-consuming routine work of collecting, analyzing, and evaluating large amounts of data. Because of the above trend, fully computerized personnel Dosimetry Monitoring and Management System has been developed to manage personnel exposure dose in real time and to maintain historical records of personnel exposure dose over a long time span. This system consists of a mini-computer with a large data base system and distributed terminal processors which handle data gathering and information retrieval.
This paper describes a recently developed general purpose distributed processing data acquisition and analysis system. The system has been designed to operate on a high speed synchronous bus. By adhering to the rigid ...
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This paper describes a recently developed general purpose distributed processing data acquisition and analysis system. The system has been designed to operate on a high speed synchronous bus. By adhering to the rigid protocol of the bus, the individual components of the system are independent of position and of other system components. The basic design uses multiple microcomputers and microprogrammable microprocessors to perform specific functions, many of which are normally performed by the CPU in a conventional minicomputer system.
This study compares centralized processing to distributed processing of biomass for subsequent production of Fischer-Tropsch liquids (FTLs) at a centralized catalytic synthesis facility. distributed processing in this...
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This study compares centralized processing to distributed processing of biomass for subsequent production of Fischer-Tropsch liquids (FTLs) at a centralized catalytic synthesis facility. distributed processing in this study is based on fast pyrolysis to bio-oils, which are more economically transported to a centralized F-T plant where bio-oil is gasified and the syngas catalytically converted to FTLs. The study indicates that a centralized gasification plant can produce FTLs from biomass for $1.56 per gallon of gasoline equivalent (gge) in an optimally sized plant of 550 million gge per year. Three distributed processing systems were investigated based on the scale of biomass processing capacity: 'on-farm' pyrolyzers of 5.4 ton per day (tpd) capacity;'small cooperative' pyrolyzers of 55 tpd capacity, and 'large cooperative' pyrolyzers of 550 tpd capacity. distributed processing is combined with very large centralized bio-oil processing plants that accept bio-oil for catalytic upgrading to transportation fuels, achieving costs as low as $1.43 for total fuel production capacities in excess of 2500 million gge. Total capital investment (distributed pyrolyzers and centralized bio-oil processing plant) for this optimally sized distributed processing system is projected to be $4 billion compared to $1.6 billion for the centralized biomass processing facility. c 2008 Society of Chemical Industry and John Wiley & Sons, Ltd
A graph matching approach to optimal assignment of task modules with varying lengths and precedence relationship in a distributed computing system is proposed. Inclusion of module precedence into the optimal solution ...
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A graph matching approach to optimal assignment of task modules with varying lengths and precedence relationship in a distributed computing system is proposed. Inclusion of module precedence into the optimal solution is made possible by the use of topological module orderings. Two graphs are defined to represent the processor structure and the module precedence relationship, respectively. Assignment of the task modules to the system processors is transformed into a type of graph matching. The search of optimal graph matching corresponding to optimal task assignment is formulated as a state-space search problem which is then solved by theA* algorithm in artificial intelligence. Illustrative examples and experimental results are included to show the effectiveness of the proposed approach.
This article attempts to efficiently cope with the requirement for the high-level intelligence network (IN), and proposes the realization of a service control node by a large-scale distributed configuration composed o...
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This article attempts to efficiently cope with the requirement for the high-level intelligence network (IN), and proposes the realization of a service control node by a large-scale distributed configuration composed of a large number of processors. As the basic distributed configuration, the service control function and the service data function are realized by separate processor modules. Then, the integrated configuration with function and load distribution is considered, where the load for those functions is handled by multiple processor modules. As to the realization of the distributed configuration, the load imbalance among the processor modules, as well as the number of dynamic steps in the database processing, are evaluated. In other words, a comprehensive comparison is applied from the viewpoints of cost and performance. The result of the investigation is reflected on the distributed memory database configuration, which is proposed as a configuration suited to the high-level IN. As to unbalance among the processor modules, a method is proposed in which the access rates of the customers are approximated by their order and an analytical evaluation is applied. As to the recovery of the database, the recovery levels are defined according to the data class, and an efficient method of recovery is proposed by combining the acquisition of the checkpoint database with the interval of several minutes and the small-capacity update log data. (C) 1999 Scripta Technica.
In this paper, we present an approach to build up a simulation tool on the World Wide Web based on a distributed processing architecture. There are several advantages to this approach. First of all, users can employ t...
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In this paper, we present an approach to build up a simulation tool on the World Wide Web based on a distributed processing architecture. There are several advantages to this approach. First of all, users can employ this tool through a Web browser without any investment in and maintenance of expensive hard- and software at the client-side. Secondly, since multiple processing units are available, the average response time of each job is reduced with respect to an environment with a single processing unit. (C) 1999 Elsevier Science B.V. All rights reserved.
This paper presents the distributed processing feature for Trade Wind, a cloud deployment and management solution. The main objective of this research is to evaluate performance and feasibility of this feature for big...
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ISBN:
(纸本)9780769550060
This paper presents the distributed processing feature for Trade Wind, a cloud deployment and management solution. The main objective of this research is to evaluate performance and feasibility of this feature for big data applications. A prototype has been created and tested in the calculation of monthly average temperature and humidity based on data from a public data set. Preliminary results show great improvement in terms of time reduction, speedup, and efficiency.
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