基于七阶NR法与Broyden方法的柔性直流系统潮流新算法OA北大核心CSTPCD

Objectives To solve the problem of low solving efficiency of power flow algorithm for flexible DC transmission systems,Methods firstly,a power flow algorithm based on the seventh-order NR method was pro-posed.Compared with the traditional power flow algorithm,this algorithm had a higher convergence order,which could effectively reduce the number of iterations and improve the efficiency of the algorithm.Then,an improved algorithm based on the seventh-order NR method with Broyden was proposed for the problem that the seventh-order NR method was computationally intensive in a single step iteration.It took advantage of the outstanding convergence characteristics of the seventh-order NR method to reduce the number of iterations,while retaining the advantage of the lower computational cost of the single-step iteration of the Broyden method to avoid the waste of computational power,resulting in a large improvement in computational effi-ciency.Further,a rule of thumb was proposed to determine the number of iterations of the high order NR method in the modified algorithm.Results The modified IEEE standard examples were simulated and tested by the classical and improved methods,and the results showed that,compared with the classical NR method,the maximum error of AC and DC power flow results was 1×10-8 and 2×10-8.In terms of average computing time,the calculation time of the improved algorithm was reduced by about 61%compared with that of the classical NR method under four example systems as IEEE-14,IEEE-30,IEEE-57,IEEE-118.When the example system changed from double-ended to triple-ended and double-fed,the number of iterations of the improved algorithm remained unchanged,and the calculation time increased by 0.352 ms and 0.636 ms,respec-tively.In the case of heavy load,the improved algorithm had the highest computational efficiency and the preset number of iterations were simple.When the load value reached 2.992,the calculation time was only 60%of that of the classical NR method.Conclusions The improved algorithm in this paper had the same accuracy as the classical NR method,but had more advantages in computing speed,and was more conducive to the application in extreme cases such as heavy loads.