Title :
Distributed Bisection Method for Economic Power Dispatch in Smart Grid
Author :
Hao Xing ; Yuting Mou ; Minyue Fu ; Zhiyun Lin
Author_Institution :
State Key Lab. of Ind. Control Technol. & the Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, we present a fully distributed bisection algorithm for the economic dispatch problem (EDP) in a smart grid scenario, with the goal to minimize the aggregated cost of a network of generators, which cooperatively furnish a given amount of power within their individual capacity constraints. Our distributed algorithm adopts the method of bisection, and is based on a consensus-like iterative method, with no need for a central decision maker or a leader node. Under strong connectivity conditions and allowance for local communications, we show that the iterative solution converges to the globally optimal solution. Furthermore, two stopping criteria are presented for the practical implementation of the proposed algorithm, for which sign consensus is defined. Finally, numerical simulations based on the IEEE 14-bus and 118-bus systems are given to illustrate the performance of the algorithm.
Keywords :
IEEE standards; distributed power generation; iterative methods; minimisation; power generation dispatch; power generation economics; smart power grids; EDP; IEEE 118-bus system; IEEE 14-bus system; aggregated cost minimization; distributed bisection algorithm; economic power dispatch problem; iterative method; numerical simulation; power generation system; sign consensus; smart grid scenario; stopping criteria; Convex functions; Cost function; Distributed algorithms; Iterative methods; Power demand; Power generation dispatch; Smart grids; Consensus; distributed algorithm; distributed convex optimization; economic power dispatch; smart grid;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2376935