Reduction of power losses in electrical power systems using nonlinear regression techniques

Abstract EN

Operators of electrical power systems (EPS) are always faced with the most important problem, how to minimize the transmission and distribution additional power losses.

Reduction of power losses and cost increases the efficiency of the power system and provides a significant reduction in energy consumption.

This paper proposes a way to achieve this goal.

In order to minimize the operational cost it is necessary to maintain EPS close to optimal mode.

A mathematical model as optimization problem is developed for minimizing additional power losses and operational costs incurred due to the absence of the optimal correction in EPS.

The model determines the relation between additional losses/costs and the control parameters of online tap changer transformers (OLTC).

The prediction of the relation is established by means of statistical nonlinear regression models.

The regression technique requires statistical data which has been obtained by performing power flow for the EPS with numerous configurations of OLTCs and transformation ratios.

The software used for power flow is NETDRAW program.

The developed model is applied to a test network.

The results show the effectiveness of the model in substantial savings in power and cost as well.

The research work would be very useful for supporting the procedures in central control center and energy management system in order to let the EPS working in optimal operation.