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    Hopfield neural network approaches to economic dispatch problems
    (ELSEVIER SCI LTD, 2001) Yalcinoz, T; Cory, BJ; Short, MJ
    This paper aims to identify and investigate a new Hopfield neural network structure suitable for application to economic dispatch problems such as unconstrained economic dispatch, economic dispatch with transmission capacity constraints and multi-area economic dispatch. A new mapping technique is described for quadratic programming problems with equality and inequality constraints. Side constraints are handled by a modified activation function. The proposed method is tested on different sizes of systems having between 3 and 240 generating units. The results of the proposed method are compared with those of a classical method and the improved Hopfield NN approach (IEE Proc Gen Transm Distrib 144(2) (1997) 181). (C) 2001 Elsevier Science Ltd. All rights reserved.
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    Security dispatch using the Hopfield neural network
    (IEE-INST ELEC ENG, 1999) Yalcinoz, T; Short, MJ; Cory, BJ
    A restructuring of the improved Hopfield neural network (NN) approach, which has previously been proposed for solving economic dispatch, is proposed for solving real time economic dispatch problem with security constraints. A new mapping process is formulated and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints. Side constraints are handled by a modified activation function for which a symmetric ramp function is chosen for the input-output function and applied to each element of the variable set. The Hopfield NN approach is tested on the IEEE 30-bus system for different demands.