Asset Details
Do you wish to reserve the book?
Stability Analysis of Hybrid Microgrid Considering Network Dynamics
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Stability Analysis of Hybrid Microgrid Considering Network Dynamics
Do you wish to request the book?
Stability Analysis of Hybrid Microgrid Considering Network Dynamics
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Stability Analysis of Hybrid Microgrid Considering Network Dynamics
2023
Overview
Dynamic load is a critical factor affecting the stability of hybrid microgrids (MG) due to their sensitivity to voltage and frequency fluctuations. This sensitivity underscores the importance of considering load dynamics in MG stability analysis, especially during islanded operation. This paper investigates the small signal (SS) stability of hybrid MGs, utilizing a composite load model (CLM) to accurately represent load dynamics. A SS state-space model of an inverter-based complete hybrid microgrid which includes droop controllers, network, and CLM load is considered for accurate stability analysis with improved dynamic characteristics. To enhance the dynamic performance of hybrid MGs, Sequential Quadratic Programming with Gradient Sampling (SQP-GS) is proposed for the optimization of key controller parameters as compared with different other metaheuristic optimization methods including Genetic Algorithms (GA), Mematic Algorithms (MA), Particle Swarm Optimization (PSO). Simulation results verify the effectiveness of the proposed SS model of hybrid microgrid with CLM load modeling as compared to the Constant power load (CPL) model and Constant impedance load (CIL) model. Further SQP-GS is found to be effective in optimizing the key controller parameters and subsequently improving the dynamic performance of the hybrid MGs as compared with the other optimization techniques. Extensive simulations validate the viability of our proposed SS dynamic model utilizing the CLM model and the effectiveness and efficiency of the SQP-GS optimization algorithm.
Publisher
Springer Nature B.V
Subject
