A survey of distributed optimization and control algorithms for electric power systems
Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …
optimization and control. With increasing penetrations of distributed energy resources …
Opportunities and challenges of vehicle-to-home, vehicle-to-vehicle, and vehicle-to-grid technologies
Electric vehicles (EVs) are regarded as one of the most effective tools to reduce the oil
demands and gas emissions. And they are welcome in the near future for general road …
demands and gas emissions. And they are welcome in the near future for general road …
Convex relaxation of optimal power flow—Part I: Formulations and equivalence
SH Low - IEEE Transactions on Control of Network Systems, 2014 - ieeexplore.ieee.org
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …
Multi-agent reinforcement learning for active voltage control on power distribution networks
This paper presents a problem in power networks that creates an exciting and yet
challenging real-world scenario for application of multi-agent reinforcement learning …
challenging real-world scenario for application of multi-agent reinforcement learning …
Energy crowdsourcing and peer-to-peer energy trading in blockchain-enabled smart grids
The power grid is rapidly transforming, and while recent grid innovations increased the
utilization of advanced control methods, the next-generation grid demands technologies that …
utilization of advanced control methods, the next-generation grid demands technologies that …
Distributed and decentralized voltage control of smart distribution networks: Models, methods, and future research
KE Antoniadou-Plytaria… - … on smart grid, 2017 - ieeexplore.ieee.org
The future grid is evolving into a smart distribution network that integrates multiple
distributed energy resources ensuring at the same time reliable operation and increased …
distributed energy resources ensuring at the same time reliable operation and increased …
Convex relaxation of optimal power flow—Part II: Exactness
SH Low - IEEE Transactions on Control of Network Systems, 2014 - ieeexplore.ieee.org
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …
(OPF) problem, focusing on structural properties rather than algorithms. Part I presents two …
Two-stage volt/var control in active distribution networks with multi-agent deep reinforcement learning method
The high penetration of intermittent renewable energy resources in active distribution
networks (ADN) results in a great challenge for the conventional Volt-Var control (VVC). This …
networks (ADN) results in a great challenge for the conventional Volt-Var control (VVC). This …
Resilient disaster recovery logistics of distribution systems: Co-optimize service restoration with repair crew and mobile power source dispatch
Repair crews (RCs) and mobile power sources (MPSs) are critical resources for distribution
system (DS) outage management after a natural disaster. However, their logistics have not …
system (DS) outage management after a natural disaster. However, their logistics have not …
Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation
Integration of renewable energy sources (RES) into traditional power system is one of the
most viable technologies to meet the ever increasing energy demand efficiently. But, this …
most viable technologies to meet the ever increasing energy demand efficiently. But, this …