Next Article in Journal
Fluidized-Bed Gasification of Plastic Waste, Wood, and Their Blends with Coal
Previous Article in Journal
Design and Experimental Study of a VCM-Based Stewart Parallel Mechanism Used for Active Vibration Isolation
Article Menu

Export Article

Open AccessArticle
Energies 2015, 8(8), 8020-8051; doi:10.3390/en8088020

Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control

State Key Laboratory for Manufacturing Systems Engineering, Systems Engineering Institute, Xi'an Jiaotong University, Xi'an 710049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 11 June 2015 / Revised: 16 July 2015 / Accepted: 26 July 2015 / Published: 3 August 2015

Abstract

Energy storage devices are expected to be more frequently implemented in wind farms in near future. In this paper, both pumped hydro and fly wheel storage systems are used to assist a wind farm to smooth the power fluctuations. Due to the significant difference in the response speeds of the two storages types, the wind farm coordination with two types of energy storage is a problem. This paper presents two methods for the coordination problem: a two-level hierarchical model predictive control (MPC) method and a single-level MPC method. In the single-level MPC method, only one MPC controller coordinates the wind farm and the two storage systems to follow the grid scheduling. Alternatively, in the two-level MPC method, two MPC controllers are used to coordinate the wind farm and the two storage systems. The structure of two level MPC consists of outer level and inner level MPC. They run alternatively to perform real-time scheduling and then stop, thus obtaining long-term scheduling results and sending some results to the inner level as input. The single-level MPC method performs both long- and short-term scheduling tasks in each interval. The simulation results show that the methods proposed can improve the utilization of wind power and reduce wind power spillage. In addition, the single-level MPC and the two-level MPC are not interchangeable. The single-level MPC has the advantage of following the grid schedule while the two-level MPC can reduce the optimization time by 60%. View Full-Text
Keywords: wind farm; energy storage; MPC; hierarchical control; power scheduling; smoothing fluctuation; coordination of energy storage; hybrid power system; optimal energy manage wind farm; energy storage; MPC; hierarchical control; power scheduling; smoothing fluctuation; coordination of energy storage; hybrid power system; optimal energy manage
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Xiong, M.; Gao, F.; Liu, K.; Chen, S.; Dong, J. Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control. Energies 2015, 8, 8020-8051.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top