This paper focuses on using big data technology to solve the operational reliability evaluation problem in the power distribution system. Operational reliability evaluation means the capability to forecast the future ...
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ISBN:
(纸本)9781509051540
This paper focuses on using big data technology to solve the operational reliability evaluation problem in the power distribution system. Operational reliability evaluation means the capability to forecast the future reliability from the current system. This becomes a challenge problem as the power distribution network has been even more complex. Meanwhile, the safety and reliability are considered more and more critical for the network. Therefore, it needs to new approach to evaluate the operational state of power distribution system. For such a purpose, this paper proposes an operational reliability evaluation method based on the big data of distribution network and big data processing technology. Based on the operational reliability index system of distribution network, this paper firstly analyzed the main influencing factors of each reliability indexes by using parallel association rules mining method. Then, by using these factors as input variables, an evaluation model was established based on artificial neural network. Based on the evaluation model and real-time data, the operational reliability can be obtained.
Microgrid is a single controllable unit constituting distributed generation (DG) and load in the power system. The micro source includes photovoltaic (PV) cells, wind turbine, micro turbine, fuel cell, electric accumu...
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ISBN:
(纸本)9781479965823
Microgrid is a single controllable unit constituting distributed generation (DG) and load in the power system. The micro source includes photovoltaic (PV) cells, wind turbine, micro turbine, fuel cell, electric accumulator and flywheel etc. Usually, the micro source operates in parallel with the normal distributed network that uses the power electronic devices. There are two typical operation modes of micro grid as the grid-connected mode and islanding mode. Thus, the running control problem is one key issue of the microgrid, which needs to be resolved in the actual operation. For exact synchronism, to protect the system and to reduce the load in case of imbalance condition, a control system is necessary to bring the system instability while providing efficient and robust electricity to the micro grid. This paper mainly analyses the micro sources with different types of loads and dispersion characteristics in different operating mode using droop control method.
A specific task of distributed and parallel Information Systems is workflow management. In particular, workflow management systems execute business processes that run on top of distributed and parallel Information Sys...
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A specific task of distributed and parallel Information Systems is workflow management. In particular, workflow management systems execute business processes that run on top of distributed and parallel Information Systems. parallelism is due to performance requirements and involves data and applications that are spread across a heterogeneous, distributedcomputing environment. Heterogeneity and distribution of the underlying computing infrastructure should be made transparent in order to alleviate programming and use. We introduce an implementation architecture for workflow management systems that meets best these requirements. Scalability (through transparent parallelism) and transparency with respect to distribution and heterogeneity are the major characteristics of this architecture. A generic client/server class library in an object-oriented environment demonstrates the feasibility of the approach taken.
P2P gridcomputing systems integrate geographical computing resources across multiple administrative domains. In P2P grid systems, one of the most important challenges is how to efficiently exploit the load balancing ...
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ISBN:
(纸本)9783642016707
P2P gridcomputing systems integrate geographical computing resources across multiple administrative domains. In P2P grid systems, one of the most important challenges is how to efficiently exploit the load balancing of distributedcomputing resources. This paper proposes a performance-aware load balancing mechanism in order to exploit distributedcomputing resources in P2P gridcomputing systems. The performance-aware load balancing mechanism supports the capabilities of resource information gathering, job migration and load balancing. The resource information gathering uses the P2P technique to collect distributed resource information;the job migration mechanism adopts the P2P technique to improve the utilization of idle computing resources;and the decentralized load balancing policy could dynamically adjust the load according to the system performance. We quantify the performance of our performance-aware load balancing mechanism. Experimental results show that our proposed mechanism could efficiently distribute load in P2P grid systems.
Topology optimization of truss structures is considered in this paper. Trusses are widely used in various constructions: bridges, towers, roof supporting structures. Topology optimization of trusses requires large amo...
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The INFN-Pisa Tier2 infrastructure is described, optimized not only for grid CPU and Storage access, but also for a more interactive use of the resources in order to provide good solutions for the final data analysis ...
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The INFN-Pisa Tier2 infrastructure is described, optimized not only for grid CPU and Storage access, but also for a more interactive use of the resources in order to provide good solutions for the final data analysis step. The Data Center, equipped with about 6700 production cores, permits the use of modern analysis techniques realized via advanced statistical tools (like RooFit and RooStat) implemented in multicore systems. In particular a POSIX file storage access integrated with standard SRM access is provided. Therefore the unified storage infrastructure is described, based on GPFS and Xrootd, used both for SRM data repository and interactive POSIX access. Such a common infrastructure allows a transparent access to the Tier2 data to the users for their interactive analysis. The organization of a specialized many cores CPU facility devoted to interactive analysis is also described along with the login mechanism integrated with the INFN-AAI (National INFN Infrastructure) to extend the site access and use to a geographical distributed community. Such infrastructure is used also for a national computing facility in use to the INFN theoretical community, it enables a synergic use of computing and storage resources. Our Center initially developed for the HEP community is now growing and includes also HPC resources fully integrated. In recent years has been installed and managed a cluster facility (1000 cores, parallel use via InfiniBand connection) and we are now updating this facility that will provide resources for all the intermediate level HPC computing needs of the INFN theoretical national community.
grid system has many great security challenges such as access control. The attribute-based access control model (ABAC) has much merits that are more flexible, fine-grained and dynamically suitable to grid environment....
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This paper is about a real-time parallelcomputing technology in LAN. The main contents are as follows: the modular management of power system based on power grid topology, and the corresponding calculation mode of tr...
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Several techniques for addressing the state space explosion problem in model checking have been studied. One of these is to use distributed memory and computation for storing and exploring the state space of the model...
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ISBN:
(纸本)9781467310673
Several techniques for addressing the state space explosion problem in model checking have been studied. One of these is to use distributed memory and computation for storing and exploring the state space of the model of a system. In this report, we present and compare different multi-thread, distributed, and cloud approaches to face the state-space explosion problem. The experiments report shows the convenience (in particular) of cloud approaches.
We present a parallel Genetic Algorithm (PGA) for the solution of a constrained global optimization problem arising in the detection of gravitational waves through the matched filter technique. This is a hard problem,...
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ISBN:
(纸本)9780769539393
We present a parallel Genetic Algorithm (PGA) for the solution of a constrained global optimization problem arising in the detection of gravitational waves through the matched filter technique. This is a hard problem, since it has a black-box stochastic objective function, which is highly nonlinear, multiextremal and computationally expensive. Our PGA uses multiple subpopulations (demes) that evolve separately by the application of genetic operators tailored to the optimization problem;individuals are exchanged from time to time through a suitable migration mechanism. Numerical experiments performed on a set of representative test problems show that the PGA is able to solve the problem with the same accuracy and reliability as the grid search, which is the reference algorithm for this problem, but requiring a smaller execution time.
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