Model-based micro-grid modeling and optimal PEV charging control
Document Type
Conference Proceeding
Publication Date
10-7-2016
Abstract
© 2016 IEEE. Micro-grid systems can support distribution network to avoid insufficient electricity supply by effectively integrating renewable energy sources and energy storage systems. This paper studies the modeling of a micro-grid system using SimPowerSystems in Matlab/Simulink environment. The Micro-grid consists of ten Electric Vehicle Service Equipment (EVSE), a Photovoltaics (PV) farm, an Energy Storage System (ESS), and a commercial building. To minimize charging cost as well as limit the micro-grid peak load, the Non-Integer Generic Algorithm (NIGA) optimization method is used to obtain optimized Plug-in Electric Vehicle (PEV) charging/discharging schedule with time-varying charging rate. The time-of-use (TOU) price and discharge incentive are applied to implement the cost minimization. The simulation results show that the total load is flattened corresponding to TOU price structures. The optimization that considers both discharge incentive and micro-grid load limit can generate a cost-power win-win result.
Publication Title
MESA 2016 - 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Conference Proceedings
Recommended Citation
Wang, L.,
Cao, C.,
&
Chen, B.
(2016).
Model-based micro-grid modeling and optimal PEV charging control.
MESA 2016 - 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Conference Proceedings.
http://doi.org/10.1109/MESA.2016.7587110
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10777