Asset Details
Do you wish to reserve the book?
Distributed multi-type resource coordinated frequency regulation control strategy based on consensus algorithm
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?
Distributed multi-type resource coordinated frequency regulation control strategy based on consensus algorithm
Do you wish to request the book?
Distributed multi-type resource coordinated frequency regulation control strategy based on consensus algorithm
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
Distributed multi-type resource coordinated frequency regulation control strategy based on consensus algorithm
2025
Overview
To address the issues of declining system inertia and insufficient frequency regulation capability caused by high penetration of renewable energy integration into power grids, this paper proposes a distributed multi-type resource coordinated control strategy based on a consensus algorithm. By integrating controllable resources such as distributed photovoltaics (PVs), energy storage, and flexible loads, a frequency response model incorporating multi-type loads is constructed to quantify their dynamic regulation effects on grid frequency. A grouped iterative consensus algorithm is designed to optimize resources by type under communication topology constraints, achieving distributed collaborative updates of state variables to minimize frequency regulation costs while ensuring power balance and output limits. Simulation results based on the IEEE 3-machine 9-node system and a 30-node distribution network demonstrate that the proposed strategy reduces frequency fluctuation peaks and lowers regulation costs compared to traditional fixed-coefficient methods, effectively avoiding risks of high-frequency generator tripping or low-frequency load shedding. The research provides an economical and efficient solution for distributed resource coordination in frequency regulation for power grids with high renewable energy penetration.
Publisher
IOP Publishing
