An ANFIS approach for overload alleviation in electric power system

Abstract EN

A power system configuration undergoes frequent changes due to contingencies and / or disturbances.

If the power system survives after the disturbance, it will be operating in a new steady state in which one or more transmission lines may be overloaded.

A corrective control action must be taken to eliminate such overloads.

The most practiced technique for overload alleviation is generator rescheduling and / or load shedding.

This paper proposes an Adaptive Neuro-Fuzzy Inference System (ANFIS) based generation reschedule to alleviate transmission line overloads.

The system parameters such as overload factor (OF), generation shift sensitivity factor (GSSF) and sensitivity of vulnerability index of generation system (SVIGS) are given to the ANFIS as inputs.

The output (ANFISOUT) from the ANFIS gives the quantity of real power to be rescheduled.

The effectiveness of the proposed approach has been tested for modified IEEE 30 bus system, 39 bus New England system and modified IEEE 57 bus system in MATLAB environment and their results are compared with fuzzy logic based approach.