Optimal UC and economic dispatching with various small energy resources in the micro-grid using IPPOA and IMILP

The usage of the Energy Management System (EMS) in present energy systems as microgrids is responding to the majority of rigorous challenges to optimize power uprising. The optimal sources of dispatch activities should be monitored with particular attention to adding novel resources and accepting new simulation deliberations. Moreover, because of the total alternations of varied microgrids constructions, the newly created strategies must be conducted by implementing EMS. Simultaneously by obtaining different targets in varied microgrids needs a unique and versatile instrument. The minority of contemporary studies are paid to the distinct dimensions of the system used with unlimited restrictions and decision-making policies. In this paper, we presented two dispatch manners to Centralized EMS (CEMS) as a unique instrument as Improved Prey-Predator Optimization (IPPO) algorithm and Improved Mixed Integer Linear Programming (IMILP). These methods are given to plan the UC and economical dispatching in the units of microgrids. In the suggested approach, system constraints such as voltage and charging facilities and unit limitations had been discussed. The applied IPPO algorithm has the characteristics of an inflexible regular set of sub-performances; smart conjunction conducts, and expanded seeking methods and fine policies to restrict the violations. Furthermore, a novel presented method is provided to cope with and remove the restrictions of the IMILP system to monitor the nonlinear system topology limitations. We presented a novel optimized model of Lithium-Ion battery based on event-based conduct. Finally, we used the extended IPPO and IMILP methods to examine the presented microgrid model within varied usage strategies, and after that, we assessed and compared the performance of each suggested approach with each other. (C) 2021 The Authors. Published by Elsevier Ltd.

Automated summary

The usage of Energy Management System (EMS) in current energy systems, such as microgrids, aims to optimize power rising challenges. The focus is on monitoring optimal dispatch sources, adding new resources, and incorporating new simulation considerations. Different microgrid structures require newly created strategies implemented through EMS for achieving diverse microgrid goals with a versatile tool.