Genetic Algorithm Based Coordination and Optimization Model for Generation Grid Load Storage in Active Distribution Networks
Researchers propose a hybrid optimization framework combining fuzzy logic and genetic algorithms to manage generation, storage, and load coordination in active distribution networks. Tested on IEEE-69 power systems with high renewable energy penetration, the approach reduces technical constraints while maintaining similar investment costs compared to deterministic methods.