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Environment Friendly BB-BC Optimized Economic Dispatch with Real and Reactive Power Constraints

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 43 - Number 4
Year of Publication: 2012
H. K. Verma
Prachi Mafidar

H K Verma and Prachi Mafidar. Article: Environment Friendly BB-BC Optimized Economic Dispatch with Real and Reactive Power Constraints. International Journal of Computer Applications 43(4):10-15, April 2012. Full text available. BibTeX

	author = {H. K. Verma and Prachi Mafidar},
	title = {Article: Environment Friendly BB-BC Optimized Economic Dispatch with Real and Reactive Power Constraints},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {43},
	number = {4},
	pages = {10-15},
	month = {April},
	note = {Full text available}


The basic objective of Economic Dispatch (ED) of electric power generation is to schedule the committed generating unit outputs to meet the load demand at minimum operating cost subject to equality and inequality constraints. In recent years with increasing awareness about environmental issues this problem has taken an essential development i. e. economic dispatch now includes the dispatch of power to minimize pollutants (from fossil fuel power generating units), as well as to achieve minimum cost. This paper presents comparative study of two algorithms namely Particle Swarm Optimization (PSO) and Big Bang-Big Crunch Optimization (BB-BC) which are implemented on Environment Friendly BB-BC Optimized Economic Dispatch with Real and Reactive Power Constraints problem. It is shown that the performance of BB-BC method demonstrates superiority over PSO algorithm.


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