An economic dispatch algorithm for congestion management of smart power networks: An oblivious routing approach

被引:26
作者
Boroojeni K.G. [1 ]
Amini M.H. [2 ,3 ]
Iyengar S.S. [1 ]
Rahmani M. [4 ]
Pardalos P.M. [5 ]
机构
[1] School of Computing and Information Sciences, Florida International University, Miami, 3319, FL
[2] Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, 15213, PA
[3] SYSU-CMU Joint Institute of Engineering, Guangzhou
[4] Departments of Electrical and Computer Engineering, Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, 15213, PA
[5] Department of Industrial and Systems Engineering at the University of Florida, Gainesville, 32611, FL
来源
Amini, M. Hadi (amini@cmu.edu) | 1600年 / Springer Verlag卷 / 08期
关键词
Congestion management; Economic dispatch; Loss minimization; Oblivious network design; Smart power network;
D O I
10.1007/s12667-016-0224-6
中图分类号
学科分类号
摘要
We present a novel oblivious routing economic dispatch (ORED) algorithm for power systems. The method is inspired by the oblivious network design which works perfectly for networks in which different sources (generators) send power flow toward their destinations (load points) while they are unaware of the current network state and other flows. Basically, our focus is on the economic dispatch while managing congestion and mitigating power losses. Furthermore, we studied a loss-minimizing type of the economic dispatch which aims to minimize the emission by optimizing the total power generation rather than system cost. Comparing to state-of-the-art economic dispatch methods, our algorithm is independent of network topology and works for both radial and non-radial networks. Our algorithm is thus suited for large-scale economic dispatch problems that will emerge in the future smart distribution grids with host of small, decentralized, and flexibly controllable prosumers; i.e., entities able to consume and produce electricity. The effectiveness of the proposed ORED is evaluated via the IEEE 57-bus standard test system. The simulation results verify the superior performance of the proposed method over the current methods in the literature in terms of congestion management and power loss minimization. © 2016, Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:643 / 667
页数:24
相关论文
共 54 条
[1]  
Kar S., Hug G., Mohammadi J., Moura J.M.F., Distributed state estimation and energy management in smart grids: a consensus+ innovations approach, IEEE Trans. Select. Topics Signal Process., 8, 6, pp. 1022-1038, (2014)
[2]  
Department of Energy, (2008)
[3]  
Zidan A., El-Saadany E.F., A cooperative multi-agent framework for self-healing mechanisms in distribution systems, IEEE Trans. Smart Grid, 3, 3, pp. 1525-1539, (2012)
[4]  
Brown R.E., Impact of smart grid on distribution system design, Proceedings of IEEE Power and Energy Society General Meeting, pp. 1-4, (2008)
[5]  
Chowdhury B.H., Rahman S., A review of recent advances in economic dispatch, IEEE Trans. Power Syst., 5, 4, pp. 1248-1259, (1990)
[6]  
Pappu V., Carvalho M., Pardalos P., Optimization and Security Challenges in Smart Power Grids, (2013)
[7]  
Zhu J., Optimization of Power System Operation, (2014)
[8]  
Padhy N., Unit commitment: a bibliographical survey, IEEE Trans. Power Syst., 19, 2, pp. 1196-1205, (2004)
[9]  
Selvakumar A.I., Thanushkodi K., A new particle swarm optimization solution to nonconvex economic dispatch problems, IEEE Trans. Power Syst., 22, 1, pp. 42-51, (2007)
[10]  
Amini M.H., Nabi B., Haghifam M.-R., Load management using multi-agent systems in smart distribution network, Proceedings of IEEE Power and Energy Society General Meeting, Vancouver, BC, Canada, pp. 1-5, (2013)