A particle swarm looking for the global minimum of a function
Image: Ephramac, Wikimedia Commons
By ESS news
Researchers from Chinese grid operator State Grid Handan Electric Power Supply have outlined a new grid-forming control scheme for photovoltaic storage systems that aims to overcome the typical problems of conventional control strategies, such as current overshoot and longer response times.
The new strategy uses particle swarm optimization (PSO), a social model that mimics the real rules of bird flock foraging behavior and is often used in
The scientists proposed an improved version of the PSO algorithm with elimination and replacement functions. In particular, they optimized the evolutionary step size of the algorithm in response to virtual synchronous generator (VSG) perturbations through an inertia factor adjustment and a boundary crossing strategy.
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