Open AccessModification of multi‐area economic dispatch with multiple fuel options, considering the fuelling limitations
Author(s) -
Lasemi Mohammad Ali,
Assili Mohsen,
Baghayipour Mohammadreza
Publication year - 2014
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.2013.0535
Subject(s) - economic dispatch , reliability (semiconductor) , reliability engineering , electric power system , determinative , electricity generation , fuel efficiency , electricity , computer science , point (geometry) , power (physics) , mathematical optimization , engineering , automotive engineering , mathematics , electrical engineering , physics , quantum mechanics , linguistics , philosophy , geometry
Nowadays, using the units with multiple fuel options is one of the ways to reduce the generation costs and increase the reliability in modern power plants. In such power plants, the minimum generation cost is achieved via selecting the optimal fuel types. Here, the fuelling conditions and limitations of different fuel types indeed have determinative roles, because they not only can significantly influence the system operation point and optimal generation dispatch, but also they certainly affect the fuel consumption cost and the electricity price, as well. This study aims to develop and solve a novel type of multi‐area economic dispatch with multiple fuel options, which also considers the mathematical model of the fuelling constraints. Thus, the system operating conditions are modelled in a more realistic way in which all the models of the power plants as well as their fuelling systems are well regarded. This consequently yields a more accurate generation dispatch that can indeed reduce the generation costs, increase the fuelling reliability and subsequently increase the entire system reliability in the actual power systems in which the fuelling constraints are essential and determinative.