Works (11)
Updated: July 5th, 2023 15:39
2016 journal article
Consensus-based distributed scheduling for cooperative operation of distributed energy resources and storage devices in smart grids
IET Generation, Transmission & Distribution, 10(5), 1268–1277.
TL;DR:
This study proposes a fully distributed scheduling methodology based on discrete-time optimal control, primal-dual gradient descent, and consensus networks and shows that the algorithm is robust against communication link failures provided that the communications topology remains connected or reconnects after being disconnected.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science; OpenAlex)
Sources: Web Of Science, Crossref
Added: August 6, 2018
2016 conference paper
Cooperative distributed energy scheduling for storage devices and renewables with resiliency against intermittencies
Proceedings of the ieee international symposium on industrial, 612–617.
TL;DR:
The numerical results demonstrate that using the double layer structure, the system shows resiliency against intermittencies and the objective values track the optimal values.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
Day-Ahead Smart Grid Cooperative Distributed Energy Scheduling With Renewable and Storage Integration
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 7(4), 1739–1748.
author keywords: Distributed algorithms; energy loss; energy scheduling; renewable generation; storage efficiency; smart grid
TL;DR:
A fully distributed algorithm is proposed to find the optimal dispatch schedule for a smart grid with renewable and energy storage integration, and each bus of the system is modeled as an agent by solely exchanging information with its neighbors.
(via Semantic Scholar)
open access via doi.org (publisher)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2016 conference paper
Influence based analysis of community consistency in dynamic networks
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM 2016, 1–8.
Source: NC State University Libraries
Added: August 6, 2018
2016 conference paper
Microgrid cooperative distributed energy scheduling (CoDES) considering battery degradation cost
Proceedings of the ieee international symposium on industrial, 720–725.
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
A resilient distributed energy management algorithm for economic dispatch in the presence of misbehaving generation units
2015 Resilience Week (RSW), 12–16.
Source: NC State University Libraries
Added: August 6, 2018
2015 journal article
A robust distributed system incremental cost estimation algorithm for smart grid economic dispatch with communications information losses
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 59, 315–324.
author keywords: Consensus algorithm; Distributed energy management; Economic dispatch; Gossip algorithm; Multi-agent system; Information loss
TL;DR:
A robust distributed system incremental cost estimation (RICE) algorithm is introduced to solve the Economic Dispatch Problem (EDP) in a smart grid environment in a distributed way considering communications information losses.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2015 conference paper
Cooperative distributed scheduling for storage devices in microgrids using dynamic KKT multipliers and consensus networks
2015 ieee power & energy society general meeting.
TL;DR:
A novel algorithm that can optimally schedule the storage devices in a microgrid solely through peer-to-peer coordination of devices with their neighbors without using a central controller is introduced.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
Distributed optimal generation dispatch considering transmission losses
2015 north american power symposium (naps).
TL;DR:
A Cooperative Distributed Optimal Dispatch (CDOD) algorithm is proposed to solve the DCOPFL problem in a distributed manner and is verified to have the smallest approximation error comparing with DCOPF and economic dispatch considering transmission losses by taking ACOPF solution as reference.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2015 conference paper
Online convergence factor tuning for robust cooperative distributed economic dispatch
2015 ieee power & energy society general meeting.
TL;DR:
This paper provides a distributed online approach to tune a certain parameter of the algorithm called “convergence factor” using only local information to assure the algorithm is stable and the system will become stable.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2015 journal article
Resilient Distributed Energy Management Subject to Unexpected Misbehaving Generation Units
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 13(1), 208–216.
author keywords: Economic dispatch; neighborhood-watch; resilient distributed energy management
TL;DR:
A neighborhood-watch-based distributed energy management algorithm is proposed to guarantee the accurate control computation in solving the economic dispatch problem in the presence of compromised generation units and achieves the system resilience by performing a reliable distributed control without a central coordinator and allowing all the well-behaving generation units to reach the optimal operating point asymptotically.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
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