Robust real-time energy management for a hydrogen refueling station using generative adversarial imitation learning
This paper presents a generative adversarial imitation learning (GAIL) approach for optimizing real-time energy management of hydrogen refueling stations, demonstrating significant profit improvements.
Nov 1, 2024
An IGDT approach for the multi-objective framework of integrated energy hub with renewable energy sources, hybrid energy storage systems, and biomass-to-hydrogen technology
This paper presents an IGDT-based approach for optimizing the operation of an integrated energy hub with renewable energy, hybrid storage systems, and biomass-to-hydrogen technology.
Jun 1, 2024
Real-time power scheduling for an isolated microgrid with renewable energy and energy storage system via a supervised-learning-based strategy
This study proposes a supervised-learning-based strategy for real-time power scheduling in isolated microgrids with renewable energy and energy storage systems, showing significant cost reductions and operational efficiency improvements.
May 30, 2024
Multi-objective optimal power flow of thermal-wind-solar power system using an adaptive geometry estimation based multi-objective differential evolution
This study introduces an adaptive geometry estimation-based multi-objective differential evolution (AGE-MODE) for optimizing power flow in hybrid thermal-wind-solar systems, demonstrating superior results on IEEE 30-bus and 57-bus systems.
Dec 1, 2023
Real-time energy scheduling for home energy management systems with an energy storage system and electric vehicle based on a supervised-learning-based strategy
This paper presents a supervised-learning-based Home Energy Management System (HEMS) that optimizes household energy costs by forecasting demand and scheduling energy storage and electric vehicle operations, significantly improving efficiency.
Sep 15, 2023
Optimal Distributed Generation Placement in Radial Distribution Networks Using Enhanced Search Group Algorithm
This study presents an Enhanced Search Group Algorithm (ESGA) for optimizing the placement and sizing of distributed generations in radial distribution networks, demonstrating superior performance in reducing power loss and enhancing voltage stability.
Jan 1, 2023
Multi-objective framework for a home energy management system with the integration of solar energy and an electric vehicle using an augmented ε-constraint method and lexicographic optimization
This study presents a multi-objective framework for a home energy management system (HEMS) integrating solar energy and electric vehicles, optimizing energy cost, peak-to-average ratio (PAR), and discomfort index (DI) through an augmented ε-constraint method and lexicographic optimization.
Jan 1, 2023
An improved metaheuristic method for simultaneous network reconfiguration and distributed generation allocation
This study proposes a chaotic search group algorithm (CSGA) for optimizing network reconfiguration and distributed generation allocation in radial distribution networks, improving voltage profiles and reducing power losses.
Oct 1, 2022
Multi-objective Search Group Algorithm for Engineering Design Problems
This study introduces a Multi-Objective Search Group Algorithm (MOSGA) for solving complex multi-objective optimization problems, demonstrating its effectiveness on various benchmark and engineering design problems.
Sep 1, 2022
Multiobjective Optimal Power Flow Using Multiobjective Search Group Algorithm
This study introduces a Multi-Objective Search Group Algorithm (MOSGA) for solving the multi-objective optimal power flow (MOOPF) problem in power systems, demonstrating its effectiveness in optimizing fuel cost, emissions, and active power loss.
Jul 28, 2022