List of English Publication

@inproceedings{nokey,

title = {User-friendly Vehicle-to-Grid Optimal Scheduling Problem and Distributed Implementation for Plug-and-play Operation},

author = {Seungbeom Lee and Jinwook Heo and Soojeong Hyeon and Jiyeon Nam and Hyungbo Shim and Jinsung Kim},

doi = {10.23919/ICCAS59377.2023.10316855},

year  = {2023},

date = {2023-10-19},

urldate = {2023-10-19},

booktitle = {International Conference on Control, Automation and Systems (ICCAS 2023)},

publisher = {IEEE},

address = {Yeosu, Korea, Republic of},

abstract = {In this paper, we propose an optimization method of charging scheduling algorithm based on preference of vehicle owners. To suffice various desires for vehicle charging, we design objective function of optimization problem as weighted sum of some objective function to reflect various desires. To solve the problem without aggregating weight coefficient, distributed optimization based on dynamic average consensus method is implemented. By initialization-free property of dynamic average consensus, plug-and-play operation of electric vehicle is applicable. Finally, we simulate the proposed algorithm to enlighten the meaning of weighted sum for objective function and plug-and-play scenario.},

keywords = {Distributed optimization, Initialization-free, Plug-and-play},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Initialization-free Algorithm for Discrete-time Dynamic Average Consensus and Its Application to Distributed Optimization},

author = {Jiyeon Nam and Jinwook Heo and Jeongwoo Kim and Hyungbo Shim and Jae Sung Bang and Jinsung Kim},

url = {https://ieeexplore.ieee.org/abstract/document/10003797?casa_token=DuxZUEtvKl0AAAAA:NZLDmrslBnSuOUXJQEDoFIKpq7S_j8tpp1_m-NkuQr1uVTaA1zu7O6qXQoTxi_makBT6rgsLRQ},

doi = {https://doi.org/10.23919/ICCAS55662.2022.10003797},

isbn = {978-89-93215-24-3},

year  = {2022},

date = {2022-11-28},

urldate = {2022-11-28},

booktitle = {Proc. of 22th International Conference on Control, Automation and Systems (ICCAS)},

pages = {424-429},

publisher = {IEEE},

address = {Busan, Korea},

abstract = {In this paper, we address the problem of dynamic average consensus in a discrete-time setting. The objective of dynamic average consensus problem is for each state of agent to track the average of reference input signals of each agent in a distributed manner. Without initialization process, the proposed algorithm renders the state of each agent converge practically to the average of time-varying reference signals with any given bound. It is a simple time-domain algorithm based on two-time scale. Finally, by applying our algorithm to an distributed optimization problem, we provide two simulation results that converge correctly when the initial conditions are perturbed and that converge within certain amount of small error when numerical errors are injected every time step.},

keywords = {Dynamic average consensus, Initialization-free, Multi-agent system},

pubstate = {published},

tppubtype = {inproceedings}

}