A fuzzy-optimization approach to dynamic economic dispatch considering uncertainties

By P. Attaviriyanupap, H. Kita, E. Tanaka, J. Hasegawa. IEEE Transactions on Power Systems, 2004

130 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0f9fcb7aaf621423b093aa30dc3cfe66c2ca76c8

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In Electrical and Electronic Engineering

Citations in the corpus

Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects (2008, background): “In recent years, as an alternative to the conventional mathematical approaches, modern heuristic optimization techniques such as simulated annealing [9], taboo search [10], evolutionary algorithms [11], artificial neural networks [12], fuzzy systems [13], and ant colony [14] have been given much att”
A GA-API Solution for the Economic Dispatch of Generation in Power System Operation (2012, background): “tion with the constraint functions penalized [15], [17], [21].”
Dynamic economic dispatch of a microgrid: Mathematical models and solution algorithm (2014, methodology): “proposed a new real-time dynamic economic dispatch method to meet the requirements of power system based on investigation of future circumstance, the research in [15] proposed dynamic economic dispatch based on the market price of power system, considering the uncertainties in deregulated energy and”
Differential Evolution-based Dynamic Economic Dispatch of Generating Units with Valve-point Effects (2008, background): “Most of the literature addresses DED problems with convex cost functions [1, 2, 3, 4].”
Simulated Annealing Technique for Dynamic Economic Dispatch (2006, methodology): “This method, however, suffers from the problem of large dimensionality as it requires exploration of the entire solution space [ 10 ].”
Robust self-scheduling under price uncertainty using conditional value-at-risk (2005, methodology): “Alternatively, the proposed model can be generalized to dynamic self-scheduling [6] over several time intervals by simply including ramping constraints.”
Optimal dynamic economic dispatch of generation: A review (2010, methodology): “In the deregulated environment the generation ompany (GENCO) finds the optimum schedules of its energy and eserve to be sold in the market by running the DED problem ith its aim to maximize its own profit (revenue minus genertion cost) [19].”