Tuned fuzzy adapted firefly lambda algorithm for solving unit commitment problem

Abstract EN

Restructuring of power system has drastically changed the mechanism of reliability management in solving the unit commitment problem (UCP).

In general, operating reserve capacity is predetermined either by dispatch rules or predefined by reliability index.

This paper considers that operating reserve capacity in a power system is bendable which is based on the cost reliability issues.

In UCP, these two competing objectives such as fuel cost and reliability level of the system are optimized simultaneously as a multi objective unit commitment problem (MOUCP) using the proposed fuzzy adapted firefly (FF) algorithm.

The ON / OFF status of the generating units is obtained by binary coded FF, whereas the economic dispatch is obtained by Lambda iteration method.

The fuzzy design boundary variables are tuned, using real coded FF, thereby the requirement of expertise for setting these variables are eliminated.

The proposed methodology is validated on IEEE RTS 26 unit test system.

The effectiveness of the proposed technique is demonstrated by comparing its performance with other methods reported in the literature.