Power System Based On Improved LHS Distributed Energy Probabilistic Power Flow Calculation

With the exhaustion of fossil energy and the increasing demand of low-carbon economic,wind power generation,solar power generation and other clean low-carbon energy are taking up much more significant percentages of new energy nowadays.But,owing to the wind and solar energy has great randomness and intermittent output mode,these distributed energy will lead to the random change,specially in the new energy grid scale.For example,the fluctuation of generator output power and the change of load power will influence the grid operation safely more seriously.These existing problems will put forward a new challenge to the traditional calculation flow.The traditional tidal power system analysis has been based on the deterministic power flow calculation for a long time,but in the actual network,the system parameters,the network topology,the bus load and some other elements are all uncertain values.Thus,the algorithm will consume large amount of time cost and calculations.What's more,it is difficult to reflect the overall situation of the whole system.The traditional deterministic power flow calculation cannot meet the above problems.Therefore,the stochastic factor influencing the probability tidal current method has been developed and applied.The prerequisite for the study of probabilistic power flow is to analyze the algorithms used in the probabilistic power flow.Therefore,the Monte Carlo method first analyzed in this essay,Latin hypercube algorithm and its advantages and disadvantages,and on the basis of analyzing the Latin hypercube algorithm,this essay improves the sorting algorithm.Also,this essay propose Latin hypercube algorithm,which based on random walk principle,and then apply it to solve the problem.The simulation results show that the improved algorithm is superior.The following is the main content of the essay:(1)This essay analyses the current common probabilistic power flow algorithm,and focuses on the shorting and deficiencies of the current algorithm.Finally,the essay points out the necessity of the improved method to solve the problems.(2)In this essay,the shortcomings of Latin hypercube algorithm are discussed,and the random walk algorithm is introduced to the improve the algorithm.This essay adopts the MATLAB software to carry on the programming,taking the Monte Carlo method as reference value,by using the test function in the condition of adding IEEE-14 node and IEEE-118 system with wind power,to compare the two method.The one is called the method of Latin hypercube algorithm based on random walk algorithm(Random Walk Latin hypercube Sampling,RWLHS),the other is called the method of Latin hypercube algorithm based on Gram-Schmidt.The validity of RWLHS algorithm will be more realistic.(3)The method of reference to the power system with photovoltaic electric field,theload,generator and photovoltaic field model are obtained,The change of node voltage and branch power flow are analyzed by the improved method.and the influence of the distributed energy was analyzed by comparing the power system unconnecting distributed energy.