Asset Details
Do you wish to reserve the book?
Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies
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?
Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies
Do you wish to request the book?
Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies
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
Day-ahead economic dispatch of wind-integrated microgrids using coordinated energy storage and hybrid demand response strategies
2025
Overview
This study proposes an optimized day-ahead economic dispatch framework for wind-integrated microgrids, combining energy storage systems with a hybrid demand response (DR) strategy to address real-time grid pricing dynamics. The model evaluates five operational scenarios: (1) conventional dispatch without renewable/storage/DR integration, (2) wind power participation, (3) coordinated wind-storage operation, (4) wind-DR synergy, and (5) full integration of wind, storage, and DR. A two-stage demand response mechanism is developed, integrating incentive-based load adjustments with price elasticity modeling through a tariff scaling factor approach. The analysis compares operational costs, renewable energy utilization efficiency, load profile characteristics, and user comfort levels across all scenarios. Results demonstrate that the combined deployment of wind generation, battery storage, and adaptive DR significantly reduces microgrid operating costs while enhancing peak load management. The integrated strategy proves most effective in balancing supply-demand dynamics, improving grid stability through synergistic storage-DR coordination, and maintaining user satisfaction. Case studies validate the framework’s practicality in achieving cost-efficient dispatch decisions without compromising renewable energy integration capabilities. The proposed model achieves a 23.4% reduction in operational cost and over 88% utilization of renewable energy, with load peaks significantly flattened and user comfort exceeding 90% throughout the scheduling horizon.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
