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Cites:

Information Journal Paper

Title

ADAPTIVE LOAD SHEDDING ANALYSIS IN POWER SYSTEMS BY USING ARTIFICIAL NEURAL NETWORK

Pages

  23-29

Abstract

 The stability of frequency and voltage is one of the basic principles in the power systems. One of the latest control measures for power system frequency control and stability is load shedding. A fast and optimal ADAPTIVE LOAD SHEDDING method using ARTIFICIAL NEURAL NETWORKS (ANN) is presented in this paper. In this paper, the total power generation and the total existing load in power system were selected as the ANN inputs. This method has been tested on the New England test system. The simulation results show the ability of this frequency control algorithm for optimal solving problem related to conventional method.

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    APA: Copy

    HOOSHMAND, RAHMATOLAH, & MOAZAME, MAJED. (2009). ADAPTIVE LOAD SHEDDING ANALYSIS IN POWER SYSTEMS BY USING ARTIFICIAL NEURAL NETWORK. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(1), 23-29. SID. https://sid.ir/paper/186483/en

    Vancouver: Copy

    HOOSHMAND RAHMATOLAH, MOAZAME MAJED. ADAPTIVE LOAD SHEDDING ANALYSIS IN POWER SYSTEMS BY USING ARTIFICIAL NEURAL NETWORK. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(1):23-29. Available from: https://sid.ir/paper/186483/en

    IEEE: Copy

    RAHMATOLAH HOOSHMAND, and MAJED MOAZAME, “ADAPTIVE LOAD SHEDDING ANALYSIS IN POWER SYSTEMS BY USING ARTIFICIAL NEURAL NETWORK,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 1, pp. 23–29, 2009, [Online]. Available: https://sid.ir/paper/186483/en

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