Bi-Level Optimization of Distributed Power Management Coordinated with Intelligent Load Shedding In Islanded Microgrid Incorporating Multi-Site Nanogrids Under Clean Energy Variability

Kouba, Nour EL Yakine; Brik, Amel; Selkim, Djamel

doi:10.22060/eej.2026.26056.6045

Bi-Level Optimization of Distributed Power Management Coordinated with Intelligent Load Shedding In Islanded Microgrid Incorporating Multi-Site Nanogrids Under Clean Energy Variability

Articles in Press

Document Type : Research Article

Authors

Nour EL Yakine Kouba

Amel Brik

Djamel Selkim

Laboratory of Electrical and Industrial Systems, University of Sciences and Technology Houari Boumediene, Algiers, Algeria

10.22060/eej.2026.26056.6045

Abstract

This paper deals with the design of an effective smart distributed management system (DMS) in islanded microgrid connected with multiple nanogrids under renewable energy variability using Fuzzy Logic method. The proposed DMS strategy was coordinated with an optimal Under-frequency Load Shedding (UFLS) to ensure power equilibrium during overloads. The recently nature-inspired named African Vultures Optimization (AVO) algorithm was employed for this purpose. The investigated microgrid includes doubly-fed induction generators (DFIG) wind farms, solar PV generators and concentrating solar power (CSP) units. Further, a storage system including Redox Flow Batteries (RFB) was used to support frequency regulation. Further, to show the validity and potential of the proposed method a variety of nanogrid systems were tested involving the sea-water desalination station, pumped solar system and electrical vehicles station. Furthermore, the proposed smart DMS coordinated with intelligent UFLS can maintain the microgrid stability using the smart deloading of the connected nanogrids using an estimated load duration curve (LDC) which minimizes the outage risk and avoids the total load shedding during faults. Using this approach, frequency stability can be maintained after disturbances. The reached results show good performances in view of frequency peak under/overshoot and settling time.

Keywords

Nanogrid

Microgrid

Renewable Energy Sources (RESs)

Distributed Management System

Under-Frequency Load Shedding

Fuzzy Logic

Optimization

Subjects