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- W4315694858 abstract "The increase in electric vehicles (EVs) and distributed generations (DGs) has brought significant voltage fluctuation issues to distribution networks. Since simultaneous active and reactive power coordination can make voltage regulation more efficient, optimal coordination of active/reactive EV charging/discharging is an attractive solution. This work contributes to addressing the challenge above by devising an optimisation-based coordination framework for EV charging/discharging for voltage support in distribution networks. The proposed framework is based on model predictive control (MPC), and includes reactive/active power management, as well as EV behaviour modelling. The proposed framework minimises network voltage deviation and electricity cost of electric vehicle charging stations (EVCSs). An EV behaviour modelling is integrated into the MPC scheme by using a Markov Chain Monte Carlo (MCMC) method. A case study is conducted on a 33-bus distribution network with photovoltaic (PV) generation and multiple EVCSs, demonstrating effective voltage regulation and cost-saving of the proposed MPC-based optimisation framework." @default.
- W4315694858 created "2023-01-12" @default.
- W4315694858 creator A5016113073 @default.
- W4315694858 creator A5042785839 @default.
- W4315694858 date "2022-11-01" @default.
- W4315694858 modified "2023-09-27" @default.
- W4315694858 title "Optimal Coordination of Electric Vehicles for Voltage Support in Distribution Networks" @default.
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- W4315694858 doi "https://doi.org/10.1109/isgtasia54193.2022.10003554" @default.
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