Open AccessA comparative analysis between price‐penalty factor method and fractional programming method for combined economic emission dispatch problem using novel hybrid CSA‐JAYA algorithm
Author(s) -
Dey Bishwajit,
Basak Sourav,
Bhattacharyya Biplab
Publication year - 2021
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/stg2.12037
Subject(s) - mathematical optimization , atmosphere (unit) , computer science , renewable energy , electricity , electricity price , economic dispatch , fossil fuel , power (physics) , electricity generation , algorithm , electric power system , mathematics , engineering , waste management , physics , quantum mechanics , electrical engineering , thermodynamics
Economic dispatch of power is no more a sole concern for utilities. Instead, the utilities focus on reducing toxic gases emitted to the atmosphere due to the maximum utilisation of conventional fossil‐fuelled generators to meet the surging demand for electricity. This can be carried out by involving renewable energy sources (RES) to generate clean power compensating the depletion in the availability of fossil fuels. This article performs combined economic emission disfpatch (CEED) on four dynamic systems with and without the involvement of RES. Two methods for solving CEED, namely the price‐penalty factor (ppf) method and the fractional programming (FP) method, are used to perform CEED for all the four test systems, and a comparative analysis between them is made based on the least emission of harmful and toxic gases into the atmosphere. A novel hybrid (CSA‐JAYA) algorithm is used as the optimisation tool for the study. Numerical results manifest that the FP method of solving CEED is economic and emits less toxic gases to the atmosphere than the ppf method. The proposed hybrid CSA‐JAYA outperformed a long list of algorithms from recent literature in consistently providing better and superior quality solutions.