Simulated Annealing Algorithm for Environmental/Economic Dispatch Problem
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@Article{JICS-6-064,
author = {Aristidis Vlachos},
title = {Simulated Annealing Algorithm for Environmental/Economic Dispatch Problem},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {6},
number = {1},
pages = {064--072},
abstract = { This paper presents a Simulated Annealing
the
Environmental/Economic Dispatch Problem (EED). This problem is formulated as a multi-objective one with
two competing functions, namely economic cost and emission functions, subject to different constraints. The
inequality constraints considered are maximum and minimum limits of power generation while the equality
constraint is demand-generation balance. The results are obtained for a simple power 3-generator system. The
advantage of the SA algorithm is its robustness to find the global for our problem.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22697.html}
}
TY - JOUR
T1 - Simulated Annealing Algorithm for Environmental/Economic Dispatch Problem
AU - Aristidis Vlachos
JO - Journal of Information and Computing Science
VL - 1
SP - 064
EP - 072
PY - 2024
DA - 2024/01
SN - 6
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22697.html
KW - Environmental/Economic Dispatch, Simulated Annealing Algorithm, Multi-objective
optimization, Combinatorial optimization
AB - This paper presents a Simulated Annealing
the
Environmental/Economic Dispatch Problem (EED). This problem is formulated as a multi-objective one with
two competing functions, namely economic cost and emission functions, subject to different constraints. The
inequality constraints considered are maximum and minimum limits of power generation while the equality
constraint is demand-generation balance. The results are obtained for a simple power 3-generator system. The
advantage of the SA algorithm is its robustness to find the global for our problem.
Aristidis Vlachos. (2024). Simulated Annealing Algorithm for Environmental/Economic Dispatch Problem.
Journal of Information and Computing Science. 6 (1).
064-072.
doi:
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