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Research On Economy Of Optimizing Allocating The Power Supply In Micro-grid Based On Modified Quantum Genetic Algorithm

Posted on:2018-03-15Degree:MasterType:Thesis
Country:ChinaCandidate:D M ZhangFull Text:PDF
GTID:2348330512475494Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As a matter of concern to the people’s livelihood and national security,the issue of energy has received worldwide attention.The unreasonable energy structure and the low-level utilization of energy efficiency have led to many environmental and social problems.As a kind of power generation,distributed generation technology,which is based on the existence and convenient access to energy as the main energy source,is of great significance to promote the use of clean and renewable energy,improve energy efficiency and supply structure and ensure the safety and reliability of energy supply.As a combination of a variety of distributed energy advantages,the micro-grid detects the integrated efficiency of power generation system sufficiently and therefore has become a research hotspots and future development direction in the field of distributed power generation.The optimal allocation of power supply is the key part in the design of micro-grid and how to optimize the allocation of resources will have a great impact on the reliability and security of micro-grid operation.Therefore,the research on the optimal power allocation is of great practical significance for micro-grid operation.Based on the research of the basic form of micro-grid and the domestic and foreign research results,the following works have been investigated to optimize the power supply of micro-grid in this paper.First of all,the current situation of energy utilization is analyzed and discussed.Then the classification and application of distributed generation and micro grid in the form of energy utilization and the future development trend of micro grid are issued.In addition,the research status of quantum genetic algorithm is discussed from the aspects of revolving door operation,quantum genetic algorithm coding method and special operation on chromosome.Secondly,the distributed steady-state model is established to obtain the dynamic characteristics of the distributed power supply in the typical micro-grid to provide theoretical basis for the cost calculation of distributed power supply.The optimal allocation model of micro-grid power supply is established based on the economic cost of micro-grid operation.The power supply reliability index and environmental reliability index are the constraint conditions of the optimization model.Based on the analysis of meteorological conditions,the economic optimization model of micro-grid power supply is improved by involving the weight of micro-grid power optimization allocation cost to achieve the target of increasing the accuracy of the model and the optimization tendency of quantum genetic algorithm.Finally,on the basis of traditional quantum genetic algorithm,the quantum genetic algorithm has been improved by crossing and mutation operation to apply to the optimal configuration of micro-grid power supply.It is proved that the proposed optimization algorithm is applicable and accurate to solve the problem of micro-grid power supply optimization through illustrative examples.
Keywords/Search Tags:Micro-grid Power Optimization Configuration, Economic Optimization, Optimization Cost Configuration Weights, Improved Quantum Genetic Algorithm
PDF Full Text Request
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