Economic dispatch using particle swarm optimization: A review
Electrical power industry restructuring has created highly vibrant and competitive market that altered many aspects of the power industry. In this changed scenario, scarcity of energy resources, increasing power generation cost, environment concern, ever growing demand for electrical energy necessitate optimal economic dispatch. Practical economic dispatch (ED) problems have nonlinear, non-convex type objective function with intense equality and inequality constraints. The conventional optimization methods are not able to solve such problems as due to local optimum solution convergence. Meta-heuristic optimization techniques especially particle swarm optimization (PSO) has gained an incredible recognition as the solution algorithm for such type of ED problems in last decade. The application of PSO in ED problem, which is considered as one of the most complex optimization problem has been summarized in present paper.
Year of publication: |
2009
|
---|---|
Authors: | Mahor, Amita ; Prasad, Vishnu ; Rangnekar, Saroj |
Published in: |
Renewable and Sustainable Energy Reviews. - Elsevier, ISSN 1364-0321. - Vol. 13.2009, 8, p. 2134-2141
|
Publisher: |
Elsevier |
Keywords: | Economic dispatch Problem formulation Particle swarm optimization |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Housing choice as a function of risks confronting low-income households
Sahasranaman, Anand, (2020)
-
Nema, Pragya, (2009)
-
Nema, Pragya, (2010)
- More ...