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Information Journal Paper

Title

PROBABILISTIC ASSESSMENT OF TTC AND RISK IN POWER SYSTEMS USING MULTI-OBJECTIVE OPTIMIZATION

Pages

  51-62

Abstract

 Increasing demand for the amount and the value of electricity consumption in recent decades, communication, security and continuity to the electric grid has a great significance. Transmission networks as the main element in the power network has an important role in covering consumer’s needs. Various indices for evaluating the transmission network are defined and among them TTC is evaluated to determine the ability of the network in different economic conditions. In this paper, the probabilistic assessment of TTC is done and by solving a MULTI-OBJECTIVE OPTIMIZATION problem different values of TTC are obtained for different RISKs. Objectives that considered in this optimization are increasing TTC and reducing the RISK. In probability assessment of TTC the uncertainty of generators and transmission lines are considered. To select contingencies, the probability of outage and the amount of TTC are considered. The IEEE reliability test system is used to demonstrate the effectiveness of the approach.

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    APA: Copy

    KAFI KONDORY, J., RAMEZANI, M., & FALAGHI, H.. (2013). PROBABILISTIC ASSESSMENT OF TTC AND RISK IN POWER SYSTEMS USING MULTI-OBJECTIVE OPTIMIZATION. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 3(4), 51-62. SID. https://sid.ir/paper/203078/en

    Vancouver: Copy

    KAFI KONDORY J., RAMEZANI M., FALAGHI H.. PROBABILISTIC ASSESSMENT OF TTC AND RISK IN POWER SYSTEMS USING MULTI-OBJECTIVE OPTIMIZATION. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2013;3(4):51-62. Available from: https://sid.ir/paper/203078/en

    IEEE: Copy

    J. KAFI KONDORY, M. RAMEZANI, and H. FALAGHI, “PROBABILISTIC ASSESSMENT OF TTC AND RISK IN POWER SYSTEMS USING MULTI-OBJECTIVE OPTIMIZATION,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 3, no. 4, pp. 51–62, 2013, [Online]. Available: https://sid.ir/paper/203078/en

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