Title :
Incremental Cost Consensus(ICC) and leaderless ICC implementations in FREEDM
Author :
Li Feng ; McMillin, Bruce ; Perez Santiago, Anthony ; Ziang Zhang
Author_Institution :
Comput. Sci., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
In a smart grid, the economic dispatch problem is an optimization problem whose objective is to reduce the total generation cost, subject to some constraints. The Incremental Cost Consensus (ICC) algorithm and Leaderless Incremental Cost Consensus (LICC) resolve the economic dispatch problem in a distributed fashion. Unlike prior work that implements ICC and LICC in simulation, in this paper, we implement ICC and LICC in a smart grid system: the Future Renewable Electric Energy Delivery and Management (FREEDM) system. In FREEDM, energy resources are managed through the Distributed Grid Intelligence (DGI), which provides coordinated control by applying distributed algorithm. Message complexity and total time of ICC and LICC in DGI are reported and shown to correspond to the simulation.
Keywords :
communication complexity; cost reduction; power distribution economics; power system management; smart power grids; DGI; FREEDM system; ICC algorithm; LICC algorithm; distributed grid intelligence; economic dispatch problem; energy resource; future renewable electric energy delivery and management system; incremental cost consensus algorithm; leaderless incremental cost consensus algorithm; message complexity; optimization problem; smart grid system; total generation cost reduction; Convergence; Estimation; Generators; Network topology; Power demand; Smart grids; Topology; DGI; Economic dispatch; FREEDM; incremental cost consensus; message complexity; smart grid;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2015.7131876
