A Robust Economic Framework for Integrated Energy Systems Based on Hybrid Shuffled Frog-Leaping and Local Search Algorithm

The safe and efficient operation of the integrated energy system is severely hampered by a number unpredictable elements, such as output renewable sources, cost purchases, full demand response (IES). effectiveness excellence scheduling method can be increased with advanced modeling aspects. Thus, IES robust stochastic optimisation model constructed solved hybrid shuffled frog-leaping local search (HSFLA–LS) algorithm. Finally, simulation analysis considering uncertainty purchase price based on SFLA–LS algorithm reduced USD 1.63 (0.64%) 3.34 (1.3%), compared to PSO GA, respectively. In addition, time taken execute for program 1.886 s (1.59%), 3.117 (2.7%), findings demonstrate that suggested approach lower running expenses, achieve coordination optimization economy robustness.