Abstract
The article focuses on how a conventional automatic generation control (AGC) will be economically efficient. AGC aims to keep system frequency and net scheduled interchanges between different control areas (tie-line power) within predetermined values. To generate power economically it is required to combine conventional AGC with economic load dispatch (ELD) which combined known as economic AGC (eco-AGC). In eco-AGC concern the deviation in frequency is brought back to zero but scheduled interchanges never comes to zero rather settled to a new value as power always flows from lower incremental fuel cost generating station to higher incremental cost generating station in response to load demand. To perform eco-AGC, this research article proposes a novel salp swarm optimization (SSO)-based fractional order fuzzy controller for reducing errors and to maintain system stable with economic efficient. To justify robustness of proposed controller different sensitive analysis has been done with wide variation of system parameters.
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