Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile
By Sara Deilami, Amir S. Masoum, P. Moses, M. Masoum. IEEE Transactions on Smart Grid, 2011
1,110 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8a59e11d3e42d200cb4892194f2b018b1952e806
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Tiago Sousa
- Lucian Mihet-Popa
- Fuad Un-Noor
- George Pappas
- Hugo Morais
- Surya Santoso
- Junjie Hu
- Sanjeevikumar Padmanaban
In Electrical and Electronic Engineering
- Saverio Bolognani
- Sandro Zampieri
- Tiago Sousa
- M. Fotuhi‐Firuzabad
- Lucian Mihet-Popa
- Fuad Un-Noor
- Daryoush Habibi
- George Pappas
Citations in the corpus
- A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development (2017, background): “, in [140] considered market energy prices that vary with time, time zones preferred by EV owners by priority selection, and random plugging-in of EVs—for providing coordinated charging in a smart grid system.”
- Smart Charging Strategy for Electric Vehicle Charging Stations (2018, background): “Second, uncoordinated charging strategies in a limited charging infrastructure can increase the average recharge time [7] and contribute to an increase in peak loads [8].”
- On the Existence and Linear Approximation of the Power Flow Solution in Power Distribution Networks (2014, background): “These applications have been reviewed in [4], and include real-time feedback control [5]–[7], automatic reconfiguration [8], [9], and load scheduling [10], [11].”
- A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems (2014, methodology): “Heuristic methods based on local sensitivities have also been employed to the problems of coordinated electric vehicle charging [15] and distributed generation placement and sizing [16], [17].”
- Differentially Private Distributed Constrained Optimization (2014, background): “The key to reducing the impact of EVs on the power grid is to coordinate their charging schedules, which is often ca st as a constrained optimization problem with the objective of minimizing the peak load, power loss, or load variance [26], [5].”
- Electric Vehicle Charging on Residential Distribution Systems: Impacts and Mitigations (2015, background): “In [41], a real time EV charging control strategy is proposed to minimize the total electricity generation cost and associated grid energy losses.”
- Investigating the Impacts of Plug-in Hybrid Electric Vehicles on Power Distribution Systems (2013, background): “Furthermore, [5], [8]–[10], [16]–[18] assumed empty battery for vehicles at the time of arriving home.”
- Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects (2016, positive): “The objective functions can be technical or economic taking into account the power losses [87], the operation costs [82], the load balancing [37], the voltages profiles [88], the green-house gas emissions [48] among others.”