The penetration of the electric vehicle (EV) has increased rapidly in recent years mainly as a consequence of advances in transport technology and power electronics and in response to global pressure to reduce carbon emissions and limit fossil fuel consumption. It is widely acknowledged that inappropriate provision and dispatch of EV charging can lead to negative impacts on power system infrastructure. This paper considers EV requirements and proposes a module which uses owner participation, through mobile phone apps and on-board diagnostics II (OBD-II), for scheduled vehicle charging. A multi-EV reference and single-EV real-time response (MRS2R) online algorithm is proposed to calculate the maximum and minimum adjustable limits of necessary capacity, which forms part of decision-making support in power system dispatch. The proposed EV dispatch module is evaluated in a case study and the influence of the mobile app, EV dispatch trending and commercial impact is explored.
Bibliographical notePower systems are gradually integrating dispersed non-thermal generation due to reduced fossil fuel consumption. Electric vehicles (EVs) represent significant demand for battery charging. This poses challenges to system inertia and stability by limiting centralised control. Demand-side governance of EV connection using intelligent energy dispatch limits the impact of large-scale EV loading. This paper proposes innovative demand-side dispatch for EV charging to manage local demand in any perceived situation. Sponsored by EPSRC UK-China joint-research consortium (EP/F061242/1) and Science Bridge (EP/G042594/1), the work has strengthened collaboration with China (NCEPU, Northwest University) and will contribute to subsequent EPSRC UK-China Innovation Bridge funding.
- Electric vehicle
- power system dispatch
- real-time dispatch
- mobile app
- data security
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- School of Electronics, Electrical Engineering and Computer Science - Senior Lecturer
- Energy Power and Intelligent Control