Paper Info
Title
Distributed Real-Time Power Flow control with renewable integration
Abstract
We formulate an Optimal Real-Time Power Flow (ORPF) problem that integrates renwable energy generation and energy storage. In the ORPF problem, we seek to minimize the costs of energy storage and of power generation from fossil fuel that are required to balance the loads and generation from renewable sources. We present a novel decentralized algorithm for this problem, using tie-set graph theory. Tie-set graph theory significantly reduces the complexity of the ORPF problem by dividing a power network into a set of independent loops referred to as “tie-sets.” Simulation results demonstrate real-time power production responses and flow controls that lead to reliable use of battery systems and reduce the cost of using fossil fuel.
Year
DOI
Venue
2013
10.1109/SmartGridComm.2013.6688010
Smart Grid Communications
Keywords
Field
DocType
distributed control,energy storage,fossil fuels,graph theory,load flow control,optimal control,renewable energy sources,ORPF,battery systems,distributed real-time power flow control,energy storage,fossil fuel,optimal real-time power flow,real-time power production responses,renewable integration,tie-set graph theory
Energy storage,Graph theory,Mathematical optimization,Renewable energy,Optimal control,Division (mathematics),Real-time computing,Control engineering,Fossil fuel,Engineering,Battery (electricity),Electricity generation
Conference
ISSN
Citations 
PageRank 
2373-6836
2
0.45
References 
Authors
4
5
Name
Order
Citations
PageRank
Kiyoshi Nakayama1277.51
Changhong Zhao217318.49
Lubomir F. Bic314719.23
Michael B. Dillencourt449857.58
Jack Brouwer571.52