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S. C. Lee and Y. H. Kim, “An Enhanced Lagrangian Neural Network for the ELD Problems with Piecewise Quadratic Cost Functions and Nonlinear Constraints,” Electric Power Systems Research, Vol. 60, No. 3, 2002, pp. 167-177. doi:10.1016/S0378-7796(01)00181-X

has been cited by the following article:

• TITLE: Economic Dispatch with Multiple Fuel Options Using CCF

  AUTHORS: R. Anandhakumar, S. Subramanian

  KEYWORDS: Economic Load Dispatch, Composite Cost Function, Multiple Fuel Options, Piecewise Quadratic Function, Mathematical Model

  JOURNAL NAME: Energy and Power Engineering, Vol.3 No.2, May 18, 2011

  ABSTRACT: This paper presents an efficient analytical approach using Composite Cost Function (CCF) for solving the Economic Dispatch problem with Multiple Fuel Options (EDMFO). The solution methodology comprises two stages. Firstly, the CCF of the plant is developed and the most economical fuel of each set can be easily identified for any load demand. In the next stage, for the selected fuels, CCF is evaluated and the optimal scheduling is obtained. The Proposed Method (PM) has been tested on the standard ten-generation set system; each set consists of two or three fuel options. The total fuel cost obtained by the PM is compared with earlier reports in order to validate its effectiveness. The comparison clears that this approach is a promising alterna-tive for solving EDMFO problems in practical power system.