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Methods Of Thermal Power Plant Maintenance Scheduling And Electrical Energy Decomposition Considering The Effects Of Air Quality

Posted on:2017-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:N YinFull Text:PDF
GTID:2272330503987337Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Electric power industrial emissions occupies important role in the whole industrial emissions, which has become one of the main reasons for air pollution in our country.In recent years, although the technical transformation of the thermal power emissions and new energy have vigorously developed, the domestic air pollution and the dependence on the thermal power is still evident. And it is difficult to change this pattern in the short term. Reducing emissions is the solution to solve the problem fundamentally. But considering the total emission in our country is very big and economy is still developing rapidly, it must take a long period to achieve to improve air quality truly. According to the above problem, this paper changes the traditional way only considering the total amount control of emissions, and discussed how to use the power system operation coordination of resources to improve the pollution situation of key areas in highlight time by improving the methods of thermal power plant maintenance schedule and electrical energy decomposition.First, this paper analyzes the emission and diffusion characteristics of thermal power unit emissions, and uses the method of probability and statistics to predict long period wind. Then it establishes the space-time diffusion model of the pollutants. Based on the air quality index of the living environment and the regional characteristics of pollutants, this paper introduces an index, called AQI influence coefficient, to assess thermal power pollutant’s degree of impact on the living environment. It establishes the connection of the power generation and air quality index of the living environment.Secondly, this paper improves the method of thermal power unit maintenance schedule. Under the premise that the spare capacity in maintenance period can meet the requirements of guideline, this paper proposes a unit maintenance schedule method according to the results of the sorting AQI influence coefficient. And it analyzes and compares two kinds of ways to representative the whole city. Numerical example shows that two ways have no much differences, the former is more simple and practical. At the same time, the repair method can play a positive role, which can make full use of the relatively ample spare capacity in heavy environment pollution period to minimize the pollution condition of the living environment, under the premise of system reliability, security standard.On the basis of the study above, this paper presents a decomposition method of thermal power unit annual contract electricity by considering the existing months AQI distribution. Then it analyzes and compares two kinds of ways to representative the whole city and extends to application of larger region. Numerical example shows that this method is simple and effective. And it can optimize the annual distribution of AQI contribution from thermal power and significantly reduce air pollution of month with poor air quality, under the premise of satisfying the assessment criteria for energy consumption.In this paper, the improved method of unit maintenance schedule and annual contract electricity decomposition can improve the spatiotemporal distribution of power plant emissions of pollutants and air quality of the living environgment to a certain extent. In ensuring the mandatory assessment of total energy saving and emission reduction goals to be completed, this paper give prominence to the residential environment factors in the process of technology research and application of priority status. It also contributes to more fully consider the environmental factors in electrical system for current situation.
Keywords/Search Tags:thermal power unit, air quality index, diffusion of contaminant, maintenance schedule, electrical energy decomposition
PDF Full Text Request
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