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Research On Wing Power Accommodation Capacity Based On Economy Of Dispatching Model

Posted on:2017-12-19Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LinFull Text:PDF
GTID:2322330512475005Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Wind is a clean and renewable energy and the using of it in generating electricity will bring great economic and environmental benefit also promotes the industrialization process.But the uncertainty and volatility affects the operating safety and economy of power system and also brings challenge to the wind accommodation in the integration of large scale wind power.So the paper effectively evaluating the capability of wind power accommodation from the perspective of operating to ensure the safe and steady operating and improves the economy of wind power integrated power system,and alse provode guidance to the wind farm plans.The main research in this paper includes as follows:Firstly,to get the wind power probability density and distribution according to the wind speed distribution that meets the Weibull and Normal distribution respectively.To provide a probability model for the calculation of deviation between the wind powers forecasting value and the actual wind power in the future in this period.Then from the perspective of power system operation,come up with a coefficient index which not only fits the dispatching and also fits to show the wind power accommodation capability.And make the power output of conventional generators and wind farm in each period and wind power accommodation capability coefficient as optimization variable to establish a multi-objective optimization model comprehensively in consideration of the operating conventional generators and wind farm.To deduce the probability and expected value calculating formula of the deviation between the wind power forecasting value and the actual wind power in the future in this period based on the probability density which wind speed meets the Weibull.And considering the deviation penalty cost in the model.Meanwhile promotes a multi-objective particle swarm optimization algorithm based on the interactive planning decision to improve the searching efficiency of particle.The model better optimizes the wind power deviation and evaluates the wind power accommodation capacity level.In addition,it balances the operating economy between conventional generators and wind farm and improves the economy of power system also provides guidance to dispatching and wind farm planning.Secondly,when the wind power forecast information includes both point forecast values and the uncertainty probability,come up with a wind power accommodation interval optimization model based on the confidence interval estimation.On the basis of confidence interval estimation,establish the wind power accommodation interval optimization model in consideration of conventional generators and wind farm scene reserve and wind curtailment cost in condition of interval extreme scene.The model considers the added reserve cost to meet the wind power variable and improves the wind power integrated economy.In addition,the admission of wind curtailment can improve the wind power accommodation level and the feasibility of dispatching.Finally,in consideration of the influence of the wind power seasonal differences on wind power accommodation capacity level,select typical wind power scenes to establish the comprehensive wind power accommodation capacity level optimization model with the objective of the economy of traditional generators and wind farm in different wind power scene.And promote a comprehensive wind power accommodation capacity level determination method based on dichotomy approximation and Newton difference method.The model comprehensively considers the influence of different wind power scene on wind power accommodation capacity level and it is in a longer time scale and the wind power accommodation capacity level wouldn't be related to the distribution of wind speed.
Keywords/Search Tags:economy of dispatching mode, wind power accommodation capacity, deviation penalty cost, wind power accommodation interval, typical wind scenes
PDF Full Text Request
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