Multi-agent system for microgrids: design, optimization and
Smart grids are considered a promising alternative to the existing power grid, combining intelligent energy management with green power generation. Decomposed further into microgrids,
Multi-Microgrids
Multi-microgrid (MMG) refers to a system formed by the interconnection of several neighboring microgrids within a specific region, serving as a new research focus in the transition from microgrids
Optimal multiobjective design of an autonomous hybrid
This research describes an in-depth study of the three phases, design, optimization, and performance analysis of a stand-alone hybrid microgrid for a residential area in a remote area in the...
Investigating Multi-Microgrid Black Start Methods Using Grid
The results of the black-start techniques are compared, and conclusions are drawn to better prepare MG planners and distribution system operators for next-generation, multi-MG, GFM inverter-based, black
Integrated Models and Tools for Microgrid Planning and
This white paper focuses on tools that support design, planning and operation of microgrids (or aggregations of microgrids) for multiple needs and stakeholders (e.g., utilities, developers,
Optimized resource allocation in autonomous microgrids through Dual
This synthesis of microgrid design encapsulates the complexity of integrating diverse energy components and the sophistication required to manage them to achieve a resilient and self
Obtaining diverse solutions for reliable multi‐microgrid network design
The design and optimisation of this complex network referred to as the multi-microgrid network structure design optimisation problem (MNSDOP) is critical in achieving these objectives.
A Multiobjective Approach to Multi-microgrid System Design
Abstract—The main goal of this study is to design a market operator (MO) and a distribution network operator (DNO) for a network of microgrids in consideration of multiple objectives. This is a high-level
Optimal scheduling and energy management of a multi-energy microgrid
This study investigates the optimization and energy management (EM) in ME-MGs through the application of the Multi-Objective Walrus Optimization Algorithm (MOWaOA) combined
Obtaining diverse solutions for reliable multi‐microgrid network design
Offering an array of optimal solutions equips decision‐makers with a holistic understanding of the problem, aiding in the identification of preferred solutions. Motivated by this gap,