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A Study Based On Image Recognition Of Old And New Banknotes Clearing System

Posted on:2016-05-24Degree:MasterType:Thesis
Country:ChinaCandidate:L ShuaiFull Text:PDF
GTID:2272330473956656Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In recent years, with the increasing scale of the national grid, the grid structure more complex, with the security and stability of the objective environment is a dramatic change: With the rapid growth of network load, a large area with a grid interconnection has been formed; power system operation system is undergoing profound changes, Changwangfenkai, intelligent distribution network, electricity markets continue to push forward the construction of the distribution network, such as security and stability, scheduling and management of the distribution network presents new challenges. Leshan area dispatching electricity distribution network management system optimization measures are effective, and distributed large centralized distribution network as a useful complement to the power grid, are being increasingly introduced into the distribution network in Leshan, Leshan region distribution network The reconstruction also gradually to the distribution network with distributed grid power distribution in Leshan direction shift scheduling management system, which is the focus of this paper study.In this paper, after inspection of the extensive literature on the electricity distribution network in Leshan region to get an initial understanding of dispatching management, through the related fields of study, mainly to learn the basics of distributed power distribution network, and the distribution of its introduction of Leshan region net impact of the power distribution network in Leshan dispatch management system for the analysis, comparison of the advantages and disadvantages of different algorithms, we choose the more widespread application of genetic algorithms Leshan distribution network with distributed power distribution network management system for scheduling a preliminary Research. Help Leshan distribution network power dispatching agencies to quickly acquire and timely treatment Leshan distribution network status information, Leshan region with operations to achieve standardization of grid operation and management of the production process scheduling, management and standardization of business processes. Leshan region to achieve the power distribution network is scheduled to run on-line monitoring, analysis, decision support and control to improve the electricity distribution network in Leshan dispatch management of economic and social benefits, enhanced scheduling system to manage the distribution network capacity Leshan region.First introduced scheduling algorithm is proposed to convert Leshan distribution network simplified network topology strategy, the use of breadth-first and depth-first search algorithm topology diagram illustrates the process of identifying, as a basis for further research. Paper, the Leshan region as PQ nodes distributed distribution network, the choice of branch-based forward and backward substitution method to calculate regional distribution grid power dispatch Leshan flow distribution. Comparative characteristics of various algorithms, using the method of randomly generated initial population in order to protect the diversity of individuals, in order to optimize the objective function as the reciprocal of the fitness function in order to avoid introducing additional parameters affected. In genetic manipulation, the introduction of roulette selection operator method to improve the probability and retained good genes convergence speed. The obtained results have to be carried out Leshan region radial distribution network power dispatching management judgment given in this paper to avoid the island ’s ring and determine the conditions and processes. Finally, through the IEEE-33 and IEEE-69 node distribution network in Leshan power dispatch management system numerical example of the reconstruction and the proposed method is correct and effective.
Keywords/Search Tags:Genetic algorithm, Distributed generation, Distribution network, Topology identification, Network line losses
PDF Full Text Request
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