کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5001257 1460870 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Myopic real-time decentralized charging management of plug-in hybrid electric vehicles
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Myopic real-time decentralized charging management of plug-in hybrid electric vehicles
چکیده انگلیسی


- A distributed cooperative control-based algorithm is presented for charging management of plug-in hybrid electric vehicles (PHEVs).
- The proposed algorithm is decentralized, myopic, and techno-economical.
- The proposed algorithm safeguards the electrical constraints of the power network against violation.
- It also reduces the individual PHEV charging costs only based on the exiting situation without any load or electricity price forecast.

This paper proposes a decentralized control algorithm for charging management of Plug-in Hybrid Electric Vehicles (PHEVs) in distribution networks. The objectives of the proposed control algorithm are to mitigate PHEV integration challenges (e.g., over-currents and under-voltages in distribution networks) and to reduce the charging costs of PHEVs. The proposed algorithm adjusts the charging rates of PHEV chargers utilizing distributed cooperative control to prevent the network constraints (i.e., voltage and current limits) from being violated. It also determines the operating modes of the chargers (i.e., charging, discharging, or idle) using a decision making algorithm to increase the State Of Charges (SOCs) and decrease the charging costs only based on the current conditions of the distribution network. The proposed algorithm is evaluated on a modified IEEE 37-Node Test Feeder and the simulation studies are carried out using OpenDSS and MATLAB. The advantages and disadvantages of the proposed algorithm are discussed and compared with the exiting methods according to the simulation results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 143, February 2017, Pages 522-532
نویسندگان
, ,