An Optimal Transmission Congestion Management in Open Power Markets
Access Status
Fulltext not available
Authors
Habavi, S.
Masoum, Mohammad Sherkat
Kazemi, A.
Date
2010Collection
Type
Journal Article
Metadata
Show full item recordAbstract
Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software are presented and compared for 3-bus and 5-bus test systems.
Citation
Habavi, S. and Masoum, M.S. and Kazemi, A. 2010. An Optimal Transmission Congestion Management in Open Power Markets. International Review of Automatic Control. 3 (4): pp. 424-431.
Source Title
International Review of Automatic Control
Department
Department of Electrical and Computer Engineering
Related items
Showing items related by title, author, creator and subject.
-
Bradley, Matthew; Kenworthy, Jeffery (2012)Cities around the world have been unable to keep up with demand for road space, and as a result suffer from congestion. This paper argues that the consequence of this congestion has been not just poorly performing roads, ...
-
Sharif, Atif (2011)Energy is the biggest concern for any heterogeneous WSNs and achieving high energy efficiency is of paramount importance for the longevity of a heterogeneous WSNs. Communicating in- formation from the sensing region to ...
-
Pearce, Prafula; Pinto, Dale (2015)Traffic congestion has become a growing concern in most cities in Australia. A 2014 report by the Economic Regulation Authority (ERA) highlighted the need to implement a congestion charge in Perth. This article examines ...