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Research On Economic And Environmental Dispatching Based On Bi-level Programming And Multi-objective Difference Algorithm

Posted on:2020-05-15Degree:MasterType:Thesis
Country:ChinaCandidate:Z L ZhaoFull Text:PDF
GTID:2381330620465060Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With a large number of wind farms and photovoltaic power plants connected to the grid for power generation,it not only increases the peaking pressure of the power system operation,but also increases the difficulty of load peaking and valley filling.Therefore,the integration of new energy sources puts forward higher requirements for the planning,construction,operation,protection and control of power systems.This paper studies the optimal scheduling of energy complementation,and studies the advantages and disadvantages of the establishment of domestic and international energy models and algorithm optimization scheduling,Analyze the power characteristics of wind,light,water and fire power generation,Using their advantages and disadvantages,we build a multi-energy complementary power system dynamic scheduling model.For the traditional algorithms,they are easy to fall into the premature convergence and slow convergence.The multi-objective differential evolution algorithm is improved by population diversity,population optimization ability and convergence speed.An improved multi-objective differential evolution algorithm is proposed by introducing adaptive parameter adjustment and external environmental influences.On the basis of wind and photoelectric absorption,through the wind power generation in different time periods,it is verified that the algorithm can improve the population optimization ability and has better convergence and precision.Using the layered idea of bi-level programming,the improved dynamic multi-objective differential evolution algorithm is used to establish a multi-energy complementary scheduling model.The power generation cost,pollution gas emission,“abandonment of wind” and “abandonment of light” of the multi-energy dispatching system are the objective functions.The upper level plan reduces the influence of wind power and photoelectric volatility on the power system through the correlation between wind and photovoltaic power generation and traditional water and fire power generation,and reduces “abandonment of wind” and “abandonment of light”;The lower level plan reduces the punishment for environmental pollution by rationally distributing the output of wind,light,water and fire.Through the Matlab,the calculation of the multi-energy complementary scheduling model is carried out,and the three scheduling modes under the consideration of economy,environmental protection and economic environment are compared.It is verified that the dispatch can flexibly schedule multiple energy sources,reduce the emission of polluted gases,and make the optimal scheduling of the power system more reasonable and efficient.
Keywords/Search Tags:clean energy, multi-energy complementarity, economic and environmental dispatch, Bi-level planning, multi-objective differential evolution algorithm
PDF Full Text Request
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