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Volume 6, Issue 1
Simulated Annealing Algorithm for Environmental/Economic Dispatch Problem

Aristidis Vlachos

J. Info. Comput. Sci. , 6 (2011), pp. 064-072.

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  • 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.
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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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