Dual-level consensus-based frequency regulation using vehicle-to-grid service
Document Type
Article
Publication Date
2-1-2019
Abstract
© 2018 Elsevier B.V. To coordinate plug-in electric vehicles (PEVs) to support the primary frequency control, this paper presents a dual-level consensus-based frequency control method. The upper-level control aims to minimize the frequency deviation of multi-area power system, and the lower-level control aims to minimize the frequency regulation cost and battery degradation cost for individual PEVs. The incremental cost functions are formulated based on the objectives of the dual control levels, in this case, no objective function needs to be solved, and instead, the optimal results can be achieved by reaching a consensus incremental cost among neighboring individuals. The graph theory is applied to build the communication network among neighboring control areas in upper-level control, and among neighboring PEVs in lower-level control. The consensus algorithm is applied to specify the information updating and exchange among neighboring individuals. In addition, the dynamic models of multi-area power system and PEVs are developed for controller implementation and investigation. The simulation with different case studies are conducted to validate the performance of the proposed dual-level frequency control. The simulation results show that, with limited communication, the connected PEVs can be efficiently coordinated via dual-level controller to provide primary frequency regulation service, and meanwhile meet the battery charging/discharging constraints.
Publication Title
Electric Power Systems Research
Recommended Citation
Wang, L.,
&
Chen, B.
(2019).
Dual-level consensus-based frequency regulation using vehicle-to-grid service.
Electric Power Systems Research,
167, 261-276.
http://doi.org/10.1016/j.epsr.2018.10.022
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/6387