F. Mahdloo

Publications (2)0 Total impact

• Source

  Available from: wroc.pl

  Conference Proceeding: Network loadability maximization by changing the reactance of transmission lines applying Genetic Algorithm and voltage stability considerations

  F. Mahdloo, M. Manbachi, M.R. Aghamohammadi
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  ABSTRACT: This paper proposed a new method for maximizing the loadability of power networks regardless to the transmission lines compensation types. The paper determines some of the network lines that by making change in the reactance of them, loadability of whole system could rise considerably. This optimized design of mentioned network is performed through Genetic Algorithm (GA) optimization technique. With GA technique, the paper is looking for drastic transmission lines and their compensational values in order to transmitting more power in considered network, provided that maximum loadability of voltage stability besides the minimization of costs is respected sufficiently. Numerical results are obtained applying IEEE-39 Bus test system as a case study for testing correctness and applicability of this new offered solution.
  Modern Electric Power Systems (MEPS), 2010 Proceedings of the International Symposium; 10/2010
• Conference Proceeding: A new solution for maintenance scheduling in deregulated environment applying Genetic Algorithm and Monte-Carlo Simulation

  M. Manbachi, F. Mahdloo, M. Haghifam
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  ABSTRACT: This paper presents a new comprehensive solution for maintenance scheduling of generating units in deregulated environments by applying an independent market, based on Genetic Algorithm (GA) and Monte-Carlo Simulation (MCS). In a deregulated environment each Generation Company (GENCO) desires to optimize the payoffs while independent system operator (ISO) has its reliability solicitudes. Mostly, these two points of view create many contests. Therefore, the paper proposes a competitive area based on GA for maintenance scheduling. In this method, GENCOs are set their strategies to participate in Maintenance Market (MM) by considering load and fuel uncertainties besides considering the behaviours of other companies. On the other hand, ISO manages the MM based on reliability and offers incentives/ penalties for companies relying on its policy through MCS. For disclosing the accuracy and the applicability of this mentioned solution for maintenance scheduling of power generation units, IEEE reliability test system (RTS) has been studied.
  Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on; 07/2010