A comparative study of advanced evolutionary algorithms for
To address the intricate nonlinear optimization challenge at hand, we employ an evolutionary algorithm named the "Dandelion Algorithm" (DA). A rigorous comparative study is
Advancements and Challenges in Microgrid Technology: A
The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged in the
DynaGrid: Dynamic Microgrids for Large-Scale DER Integration
Dynamic formation and operation of networked microgrids with flexible boundaries requires protection that can work across different ownership models, communication boundaries, and architectures.
Optimizing microgrid performance a multi-objective strategy for
It explores the integration of hybrid renewable energy sources into a microgrid (MG) and proposes an energy dispatch strategy for MGs operating in both grid-connected and standalone modes.
Energy Optimization for Microgrids Based on Uncertainty-Aware Deep
To enhance the scheduling capabilities of microgrids in uncertain environments, many scholars have proposed various uncertainty optimization methods, such as robust optimization,
Enhanced Microgrid Energy Optimization: Integrating Load
Simulation tests on a microgrid comprized of distributed generations, battery energy storage systems, and energy consumption units were conducted to prove the efectiveness of the proposed method.
Smart Microgrid Management and Optimization: A Systematic Review
Hybrid storage solutions combining battery systems, hydrogen technologies, and pumped hydro storage were identified as effective approaches to mitigate RES intermittency and balance
A review on microgrid optimization with meta-heuristic techniques
Firstly, the fundamentals of MG optimization are discussed to explore the scopes, requisites, and opportunities of MHOAs in MG networks.
Optimization of microgrid operations using renewable energy sources
Advanced optimization techniques, such as model predictive control (MPC), mixed-integer linear programming (MILP), and heuristic algorithms, play a crucial role in achieving these objectives
Role of optimization techniques in microgrid energy management
Obtaining a better understanding of the microgrid models and the type of optimization technique used by the energy management system (EMS) in microgrids (MGs) is considered as one