Optimization Research Of Reactive Power Compensation In Local Power Supply Network Based On Particle Swarm Algorithm

Reactive power optimization, which has great impact on the distribution of node voltage and imaginary power security, will influence the stability and economic movement quality of the electric network. The main method to adjust reactive power is the adjustment of converter transformer’s tap changer for on-load tap changer and reactive-load compensation device in practical work. Of the two the latter is better than the former.We will construct the simulation model according to the distribution of imaginary power security and the electric network reality. We assumed that every node can set reactive-load compensation device. The controlled variables are transformation ratio of on-load control transformer, position and compensation capacity of reactive-load compensation device. The objective function of the model is operation expenses of the electric network. By introducing penalty function terms, the voltage which exceeds limiting value could be redefined.A method design based on Particle Swarm Algorithm is applied for solving the model. This algorithm, which has been applied widely, could assistant us to obtain an optimization scheme rapidly and effectively. Back/forward sweep method is used in optimal power flow calculation.Algorithmic program was written by MATLAB. And then, we studied the IEEE 27 electric network. The optimization scheme was acquired by the program. We compared the data which be optimized with the previous, and we find that the operation expenses was decreased obviously. So the model we constructed is proper and PSO is feasible in solving such problem.