Hybrid Particle Swarm Optimization Approach for Solving the Discrete OPF Problem Considering the Valve Loading Effects

By Mohammed R. AlRashidi, M. E. El-Hawary. IEEE Transactions on Power Systems, 2007

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Multiagent-Based Reinforcement Learning for Optimal Reactive Power Dispatch (2012, methodology): “To investigate the optimality of the obtained solution, a centralized DPSO-based method [29] is applied.”
Particle Swarm Optimization: Technique, System and Challenges (2011, unknown): “Single Solution of PSO [22] [23] [24], [25] [26], [27] [28] [29] [30] [31]”
Self-Organizing Hierarchical Particle Swarm Optimization for Nonconvex Economic Dispatch (2008, methodology): “all PSO based methods [14], [15], [17], [18], [27].”
Optimal Capacitor Placement and Sizing in Unbalanced Distribution Systems With Harmonics Consideration Using Particle Swarm Optimization (2010, background): “Once the updated particles’ positions are discretized, the particles go through feasibility check to ensure that no particle flies outside the feasible region [16].”
Optimal power flow: a bibliographic survey II (2012, methodology): “Newton’s method combined with PSO: Rashidi and El-Hawary (2007) presented a hybrid PSO method to solve an OPF with multimodal characteristics.”
Nonconvex Economic Dispatch With AC Constraints by a New Real Coded Genetic Algorithm (2009, methodology): “However, these constraints are usually considered in the unit commitment (UC) [47], [48] or optimal power flow (OPF) [49] problems, since emission of a unit is also a function of its startup and shutdown, which are considered in the UC problems.”