Open AccessPseudo‐inspired CBA for ED of units with valve‐point loading effects and multi‐fuel options
Author(s) -
Shukla Anup,
Singh Sri Niwas
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1360
Subject(s) - mathematical optimization , power balance , chaotic , economic dispatch , heuristic , point (geometry) , power (physics) , electric power system , function (biology) , computer science , population , operating point , mathematics , engineering , electronic engineering , artificial intelligence , geometry , physics , demography , quantum mechanics , evolutionary biology , sociology , biology
This study presents proposed pseudo‐inspired chaotic bat algorithm (PI‐CBA) for solving economic dispatch (ED) problem in the power system. The ED problem is modelled as a complex mathematical function that takes cost coefficients of all the possible fuel options as well as effects of valve‐point loading including transmission losses. Problem involves number of equality and inequality constraints such as power balance, prohibited operating zone and ramp rate limits. Combination of CBA along with a pseudo‐code‐based algorithm is utilised to solve above problem. The feasibility of the proposed methodology is demonstrated for three different tests comprising 6, 10, 15, 40 and 160 thermal units. A qualitative comparison of the obtained result with other standard population‐based meta‐heuristic techniques manifests proposed technique's superiority.