Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects

By Leandro dos S. Coelho, Viviana Cocco Mariani. 2008

168 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Energy Engineering and Power Technology

View Paper: https://www.semanticscholar.org/paper/ff1cb7044caf75ab8cc34e9785538cfd0dc36ca3

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In Electrical and Electronic Engineering

In Energy Engineering and Power Technology

Citations in the corpus

Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm (2012, methodology): “The Chaotic Quantum Genetic Algorithm (CQGA) [31–38] is adopted in this paper to borrow the Quantum computing concept (such as quantum bit and quantum superposition state).”
Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems (2010, methodology): “The procedure for implementing the QPSO is given by the following steps (Coelho, 2008; Coelho & Mariani, 2008): Step 1.”
Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO (2009, methodology): “In the literature there are four different applications with load demand of the system at values of 1800 MW, 2520 MW without power loss (constrained and unconstrained cases), and 2520 MW considering power loss [2], [3], [5], [7], [8], [11], [12], [14], [16]–[19], [23], [26].”
GRAVITATIONAL SEARCH ALGORITHM FOR ECONOMIC DISPATCH WITH VALVE-POINT EFFECTS (2010, methodology): “(7), is modified to [11]:”
A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems (2010, methodology): “The results for the other methods are taken from [4,5,9,12,13,19].”
Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection (2012, background): “…(Sun et al., 2006), system identiﬁcation (Gao, 2008), engineering design (Coelho, 2008, 2010), image processing (Lei and Fu, 2008), power systems (Coelho and Mariani, 2008; Sun et al., 2009; Zhang, 2010; Sun and Lu, 2010), bioinformatics (Chen et al., 2008; Cai et al., 2008), to name only a few.”
Quantum genetic algorithm for dynamic economic dispatch with valve-point effects and including wind power system (2011, methodology): “Quantum genetic algorithm (QGA) [15–24] is adopted in this paper, the calculation of which is to borrow fully the concept and theory of Quantum computing (such as quantum bit and quantum superposition state) on top of the genetic algorithm.”