Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm
View through CrossRef
AbstractThe frequency response model of a microgrid system is an indispensable tool for designing secondary frequency controllers and analyzing system frequency stability. Owing to the complexity of a microgrid system structure, time‐varying operation state, and difficulty in obtaining the inverter parameters, it is difficult to model the microgrid system. To address the abovementioned problems, this study constructs the equivalent model of a microgrid system based on mechanism analysis and then identifies the equivalent model parameters using an online identification method based on a hybrid particle swarm optimization butterfly algorithm according to the sampled operation data to obtain the specific equivalent model of a microgrid for the controller. This modeling method has strong adaptability and can yield accurate identification modeling when the operational structure of the microgrid changes.
Title: An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm
Description:
AbstractThe frequency response model of a microgrid system is an indispensable tool for designing secondary frequency controllers and analyzing system frequency stability.
Owing to the complexity of a microgrid system structure, time‐varying operation state, and difficulty in obtaining the inverter parameters, it is difficult to model the microgrid system.
To address the abovementioned problems, this study constructs the equivalent model of a microgrid system based on mechanism analysis and then identifies the equivalent model parameters using an online identification method based on a hybrid particle swarm optimization butterfly algorithm according to the sampled operation data to obtain the specific equivalent model of a microgrid for the controller.
This modeling method has strong adaptability and can yield accurate identification modeling when the operational structure of the microgrid changes.
Related Results
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
The project aims at the design and development of six hybrid nature inspired algorithms based on Grey Wolf Optimization algorithm with Artificial Bee Colony Optimization algorithm ...
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
The project aims at the design and development of six hybrid nature inspired algorithms based on Grey Wolf Optimization algorithm with Artificial Bee Colony Optimization algorithm ...
Coordination and optimization control of hybrid microgrid based on layered event triggering
Coordination and optimization control of hybrid microgrid based on layered event triggering
In the centralized communication and distributed control of hybrid
microgrid, a hierarchical event triggering control strategy with the
participation of the microgrid central contr...
Novel WSN Coverage Optimization Strategy via Monarch Butterfly Algorithm and Particle Swarm Optimization
Novel WSN Coverage Optimization Strategy via Monarch Butterfly Algorithm and Particle Swarm Optimization
Abstract
Wireless sensor networks (WSNs) show disadvantages of redundancy and relatively high network cost. Aiming at the problems of redundancy and increased network cost ...
Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm
Quantum Behaved Particle Swarm Optimization Algorithm Based on Artificial Fish Swarm
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented. In view of the existing quantum b...
Trajectory optimization of manipulator based on particle swarm optimization with mutation strategy
Trajectory optimization of manipulator based on particle swarm optimization with mutation strategy
Abstract
In order to solve the problems of slow convergence speed and low convergence accuracy of adaptive particle swarm algorithm, a particle swarm optimization algorithm...
Hybrid Optimization Algorithm for Multi-level Image Thresholding Using Salp Swarm Optimization Algorithm and Ant Colony Optimization
Hybrid Optimization Algorithm for Multi-level Image Thresholding Using Salp Swarm Optimization Algorithm and Ant Colony Optimization
The process of identifying optimal threshold for multi-level thresholding in image segmentation is a challenging process. An efficient optimization algorithm is required to find th...
Topology Identification of Low-voltage Transformer Area Based on Improved Particle Swarm Algorithm
Topology Identification of Low-voltage Transformer Area Based on Improved Particle Swarm Algorithm
Abstract
With the continuous changes in the user-side power environment, the low-voltage distribution network has become more and more complex, which brings great ch...