Particle Swarm Optimization for Economic Load Dispatch Using PSO Toolkit
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Resource Overview
This repository provides source code implementing particle swarm optimization (PSO) for economic load dispatch problems, featuring complete PSO toolkit integration with algorithmic parameter configuration and fitness function implementation.
Detailed Documentation
The provided source code implements particle swarm optimization (PSO), a robust metaheuristic algorithm designed for solving economic load dispatch challenges in power systems. The PSO toolkit encompasses essential components including particle initialization, velocity updates, and global/local best tracking mechanisms. Key functions handle parameter configuration such as swarm size, inertia weight, and cognitive/social coefficients, while the fitness function evaluates generation cost minimization subject to power balance constraints. Researchers can leverage this toolkit to optimize power generation dispatch through iterative particle position updates that converge toward economically efficient solutions. The implementation follows standard PSO procedures with enhancements for handling unit commitment constraints and transmission losses where applicable.
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