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Study On Water-electricity Joint Dispatching Of Multimedia Agricultural Microgrid With Irrigation System In Uncertain Environment

Posted on:2023-11-21Degree:MasterType:Thesis
Country:ChinaCandidate:M Y ZhangFull Text:PDF
GTID:2532306836956859Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the implementation of China’s Rural Revitalization Strategy and the vigorous promotion of new rural construction,the power consumption in rural areas is increasing day by day,and the power demand is becoming more and more diversified,which puts forward higher requirements for energy supply in rural areas.In addition,with the increasing depletion of fossil fuels such as coal and oil,the increasingly prominent environmental problems such as climate warming,and the proposal of China’s strategic objectives of "carbon peaking" and "carbon neutralization",renewable energy has attracted extensive attention in the adjustment of energy structure.Considering the spatial and temporal distribution of population in rural areas,the high investment and operation cost of large power grid and the rich renewable energy in rural areas,agricultural microgrid has become an economic and efficient solution to the problem of energy supply in rural areas.This paper summarizes the research status of agricultural microgrid scheduling problem in uncertain environment at home and abroad,analyzes the existing problems,and studies the water-electricity joint scheduling problem of multimedia agricultural microgrid with irrigation system in uncertain environment.The specific work of this paper is as follows:Firstly,in order to solve the non-convex,non-linear and complex constrained optimal dispatching problem of agricultural microgrid proposed in this paper,an evolutionary predator and prey strategy based on intraspecific competition mechanism(EPPSIC)swarm intelligent optimization algorithm is proposed.Through the standard function test and the solution of power system scheduling problem,it is verified that the algorithm can effectively overcome the shortcomings of traditional evolutionary algorithm in local search ability and balancing local search and global search ability,maintain good population diversity in the calculation process,and converge to the optimal solution quickly.Secondly,the water electricity joint dispatching model of agricultural microgrid with irrigation system is constructed,and the water electricity coupling characteristics of user power supply load,wind power generation,pumped storage and irrigation system in agricultural microgrid are analyzed.Aiming at the uncertainty of wind power generation,from the perspective of risk aversion,the expected power not served(EPNS)and expected power curtailment(EPC)indexes of wind power generation are derived to evaluate the risk brought by the uncertainty of renewable energy output to the operation of agricultural microgrid.On this basis,a water-electricity joint dispatching model aiming at minimizing the total economic cost of agricultural microgrid is constructed.Through the simulation analysis of agricultural microgrid system,it is verified that the proposed risk avoidance method can well balance the benefits and risks of the system,and improve the economy of agricultural microgrid operation and the utilization efficiency of uncertain wind power.Finally,the agricultural microgrid combined with water and electricity is expanded.Considering the pumped storage energy sharing and the energy interaction between multimicrogrid,a multimedia agricultural microgrid water and electricity joint dispatching model for pumped storage energy sharing is constructed,the risk of wind power and photovoltaic in the multimedia agricultural microgrid is evaluated,and the Aumann-Shapley value is used to distribute the benefits of the multimedia agricultural microgrid.Finally,an example is given to verify the necessity of pumped storage sharing in multimedia agricultural microgrid and the effectiveness of the proposed water power joint dispatching model.
Keywords/Search Tags:Multimedia agricultural microgrid, renewable energy, risk aversion, irrigation system, evolutionary algorithm
PDF Full Text Request
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