A Comprehensive MPC based Energy Management Framework for Isolated Microgrids

Zhang, Y.; Meng, F.; Wang, R.

Abstract

Isolated regions and remote islands are facing problems such as imported fossil-fuel dependency, increasing electricity prices, and low electricity quality. Isolated microgrids technologies which integrate large scale of renewable energy resources, energy storages, flexible loads, traditional fossil-fuel generators and advanced electric electrical devices have been seen as the answer the above problems. In addition, a closed-loop based energy management operation framework is needed to accommodate the fluctuated renewable energy generation with a comprehensive energy management optimization strategy considering integer variables/discrete constraints and complex operation constraints in generators and energy storage models. To this end, this paper proposed a model predictive control (MPC) based energy management and operation framework for isolated microgrids where the optimal energy management for the microgrid is formulated as a mixed integer quadratic programming problem (MIQP). Numerical results demonstrate the effectiveness of our approach.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: The 7th IEEE International Conference on Innovative Smart Grid Technologies (IEEE PES ISGT Europe 2017)
• Start Date: Sep 26, 2017
• End Date: Sep 29, 2017
• Acceptance Date: Jun 3, 2017
• Online Publication Date: Jan 18, 2018
• Publication Date: Sep 29, 2017
• Deposit Date: Jun 7, 2017
• Publicly Available Date: Jun 8, 2017
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : Torino, Italy, 26-29 September 2017 ; conference proceedings.
• ISBN: 9781538619544
• DOI: https://doi.org/10.1109/isgteurope.2017.8260240
• Keywords: Isolated microgrids, Renewable energy, Model predictive control.
• Public URL: https://durham-repository.worktribe.com/output/1148251