TRANSMISSION CONGESTION MANAGEMENT USING FUZZY LINEAR PROGRAMMING TECHNIQUE IN COMPETITIVE MARKET | ||||
| ERJ. Engineering Research Journal | ||||
| Article 6, Volume 34, Issue 3, July 2011, Page 259-265 PDF (178.17 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2011.67279 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Adel A. Abou El-Ela1; Ahmed Shobir2; S. Dawoud2 | ||||
| 1Electrical Power Department, Faculty of Engineering, *Minoufiya University, Minoufiya, Egypt | ||||
| 2Tanta University, Tanta, Egypt | ||||
| Abstract | ||||
| This paper presents a proposed optimization technique (POT) for transmission congestion management problem in competitive power systems at normal and emergency conditions. The fuzzy linear programming (FLP) is used as intelligent optimization technique for solving transmission congestion management problem. Two shapes modeling of fuzzy memberships are used and compared with the linear programming technique, as a conventional optimization technique. The POT has two objectives which are: Minimizing the cost of generation, maximizing the profit. However the profit is the difference between the market revenue and market payment. A multi–objective function of fuzzy technique is used to find the maximum profit for different shapes of fuzzy membership models. Four standard test systems are used to extensive study of the POT. One of these test systems is a real system of the Egyptian United Network. Simulation results show that the POT is more accurate and efficient, especially with large scale power system. | ||||
| Keywords | ||||
| congestion; Deregulation; FLP; competitive; optimal dispatch and emergency | ||||
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