摘要：Restructuring of power system has drastically changed the mechanism of reliability managementin solving the unit commitment problem (UCP). In general, operating reserve capacity ispredetermined either by dispatch rules or predefined by reliability index. This paper considersthat operating reserve capacity in a power system is bendable which is based on the costreliabilityissues. In UCP, these two competing objectives such as fuel cost and reliability levelof 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 thegenerating units is obtained by binary coded FF, where as the economic dispatch is obtained byLambda 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 proposedmethodology is validated on IEEE RTS 26 unit test system. The effectiveness of the proposedtechnique is demonstrated by comparing its performance with other methods reported in theliterature.
关键词：Binary coded firefly algorithm; Fuzzy set theory; loss of load probability; lambda;iteration; multi-objective unit commitment problem; reserves scheduling.
