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Research On Wind-solar Hybrid Power System Penetration Limit Based On Stochastic Programming

Posted on:2017-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhangFull Text:PDF
GTID:2322330536976713Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Energy is the human survival and the important material base on the social and economic development.However,wind power and solar energy have certain randomness and intermittent,and reserve capacity of conventional generators,climbing ability,load ability is limited.Solar and wind power have strong complementary in the time distribution,the strongest sunlight during the day,when the wind is very small,the light is very weak at night,but because the big changes of earth's surface temperature,the wind is strengthened;In the summer,sunlight intensity big and wind's small,In the winter,the sunlight intensity is weak and wind's big,solar and wind energy complementary makes wind-light complementary system in time on the resource utilization good match.In wind speed and illumination intensity and load is studied in different seasons of different times,on the basis of random distribution characteristics,can consider the complementary relationship of wind,photovoltaic and load in time,greatly improve the ability of power grid to accept scenery complementary system.Based on wind speed and illumination intensity of randomness and seasonal change,put forward a kind of scenery complementary system based on stochastic programming access power limit analysis method;Established containing multiple random variables,multiple constraints,chance constrained stochastic programming model of the nonlinear,using ac trend model,examination system,each node voltage and line power frequency power limit access to the system,the influence of adopting the improved particle swarm optimization algorithm based on stochastic simulation technology to solve the model,and under the IEEE-30 standard test system,the condition of system constraint conditions the confidence level and different seasons of scenery complementary system such as access to the influence of the power limit for validation,the results show that the model can fully consider scene real-time operation of theunit fluctuations and complementary characteristics,the algorithm is very simple,it is easy to operate and it has fast computing speed and small error.
Keywords/Search Tags:Solar-wind complementary system, Stochastic programming, Stochastic simulation technology, Improved particle swarm optimization algorithm
PDF Full Text Request
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