A multiagent-based particle swarm optimization approach for optimal reactive power dispatch

By B. Zhao, Chuangxin Guo, Y. J. Cao. IEEE Transactions on Power Systems, 2005

614 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/63b8c380661ff969fdfaf97aadab61d142dc0478

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In Electrical and Electronic Engineering

Citations in the corpus

Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges (2007, background): “In terms of journal papers, there is a wide diversity of authors publishing work in the area of distributed control [3], [6], [8], [35]–[46] and modeling and simu-”
A Survey of Particle Swarm Optimization Applications in Electric Power Systems (2009, neutral): “In [31], Zhao et al.”
Multi-agent control system with information fusion based comfort model for smart buildings (2012, background): “global position; k is the iteration index, kn is the current iteration number, and kmax is the maximum number of iterations [24–27].”
Analysis of the publications on the applications of particle swarm optimisation (2008, background): “Applications include transmission network planning, network reconfiguration and expansion [26], distributed generation [27], microgrids, economic dispatch problem [28–32], voltage regulation, congestion management.”
A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data (2013, methodology): “Also the PSO has proved to be competitive with genetic algorithms in several tasks, mainly in optimization areas (Silva et al. 2002; Kennedy 2002; Esmin and Lambert-Torres 2012; Zhao et al. 2005).”
A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems (2007, methodology): “It has been used for many power system problems such as optimal design of power system stabilizers [23], distribution state estimation [24], and optimal reactive power dispatch [25], [26] apart from ED.”
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems (2008, background): “tion with lower losses [164] or does both [165].”
A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids (2011, neutral): “This idea has been recently investigated in the literature on power systems [11], [12], [13].”