A survey of distributed optimization and control algorithms for electric power systems

DK Molzahn, F Dörfler, H Sandberg… - … on Smart Grid, 2017 - ieeexplore.ieee.org
Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …

Charging schemes for plug-in hybrid electric vehicles in smart grid: A survey

PY Kong, GK Karagiannidis - IEEE Access, 2016 - ieeexplore.ieee.org
Plug-in hybrid electric vehicles (PHEVs) have emerged as an important tool in reducing
greenhouse gas emissions, due to their lower dependency on fossil fuel. Since, for cost …

A survey of relaxations and approximations of the power flow equations

DK Molzahn, IA Hiskens - Foundations and Trends® in …, 2019 - nowpublishers.com
The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …

Detecting false data injection attacks in smart grids: A semi-supervised deep learning approach

Y Zhang, J Wang, B Chen - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
The dependence on advanced information and communication technology increases the
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …

Coordinated market design for peer-to-peer energy trade and ancillary services in distribution grids

K Zhang, S Troitzsch, S Hanif… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
A novel peer-to-peer (P2P) market design is proposed in this work for the distribution grid
level. Envisioning that the grid constraints violations are the major challenge for P2P energy …

A state-independent linear power flow model with accurate estimation of voltage magnitude

J Yang, N Zhang, C Kang, Q Xia - IEEE Transactions on Power …, 2016 - ieeexplore.ieee.org
Linearized power flow models are of great interest in power system studies such as
contingency analyses and reliability assessments, especially for large-scale systems. One of …

Distributed economic dispatch in microgrids based on cooperative reinforcement learning

W Liu, P Zhuang, H Liang, J Peng… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Microgrids incorporated with distributed generation (DG) units and energy storage (ES)
devices are expected to play more and more important roles in the future power systems …

A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids

S Mashayekh, M Stadler, G Cardoso, M Heleno - Applied Energy, 2017 - Elsevier
Optimal microgrid design is a challenging problem, especially for multi-energy microgrids
with electricity, heating, and cooling loads as well as sources, and multiple energy carriers …

Electrical networks and algebraic graph theory: Models, properties, and applications

F Dörfler, JW Simpson-Porco… - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
Algebraic graph theory is a cornerstone in the study of electrical networks ranging from
miniature integrated circuits to continental-scale power systems. Conversely, many …

False data injection attacks against state estimation in power distribution systems

R Deng, P Zhuang, H Liang - IEEE Transactions on Smart Grid, 2018 - ieeexplore.ieee.org
The existing research on false data injection (FDI) attacks against state estimation in
transmission systems cannot be trivially extended to distribution feeders. The main reason is …