Optimal configuration of passive filter based on PSO in the power grid affected by electrified railways

With the development towards high-speed, high-capacity, high-density networking of high-speed railway, harmonic problems caused by high-speed locomotives are getting more and more serious, which has been a great threaten to the safety and stability of power system operation. The way of elimination on the influence of railway becomes increasingly important. Due to the diseconomy to install passive filters around the whole power grid, this paper presents a harmonic suppression method using the optimal configuration of passive power filter based on particle swarm optimization (PSO) method in the power grid affected by the electrified railways. At first, this paper makes an evaluation on the impacts on power system with railway both in theory and the data measured by PQView software. It makes an introduction and analysis on the methods of harmonic suppression affected by electrified railways on the power grid, and the importance of harmonic governance affected by electrified railways on the power grid was emphasized. Then, it makes a detail analysis on the theory of harmonic suppression using passive power filter based on PSO method affected by electrified railways on the power grid. Besides, according to the characteristic of Taotang power grid (Taotang power grid is an actual area network affected by the electrified railways) and the influence of harmonics on the Taotang power grid, a mathematical model is built considering the economy and effect of passive filters as the optimal objective. Then, an optimal configuration of passive filters in the Taotang power grid is given through optimizing by the PSO algorithm. Besides, the simulations and analysis are provided, and by comparing the harmonic data before the harmonic suppression using passive filters based on PSO method with the harmonic data after the optimal configuration of passive filters based on PSO algorithm, it is showed that the optimal configuration of passive power filter based on particle swarm optimization (PSO) algorithm has obvious effect on the harmonic suppression and the proposed method is validity, which provides a theoretical and engineering reference for the improvement of the harmonic in power network affected by electrified railways.