Combined economic-emission dispatch problem: Dynamic neural networks solution approach
Authors:
- 1 May 2017
- journal article
- Published by AIP Publishing in Journal of Renewable and Sustainable Energy
- Vol. 9 (3)
Abstract
This paper explores the performance of dynamic neural networks (DNNs) in solving the combined economic-emission dispatch (CEED) problem. The idea behind the CEED formulation is to estimate the optimal generating unit schedule in such a manner that both the fuel cost and the pollutant emission levels are minimized for a given load demand. DNNs present an elegant approach to transform the CEED optimization problem into dynamical systems whose states converge to the desired optimal generated power configuration. As compared to other neural network approaches, e.g., multilayer perceptron or radial basis function networks, complicated problem mapping or training is not necessary in DNN. Further, the convergence characteristics of DNNs are theoretically well established. Three DNN structures, namely, gradient based primal DNN, Lagrangian based primal-dual DNN, and dual DNN, are investigated in optimizing the CEED of 6 and 11 u test power systems. Compared to other optimization techniques, the investigated DNNs feature a transparent design procedure, lower model complexity, and faster convergence.Keywords
This publication has 33 references indexed in Scilit:
- A Simplified Recursive Approach to Combined Economic Emission DispatchElectric Power Components and Systems, 2007
- A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equationsNeural Networks, 2004
- A complete proof of global exponential convergence of a neural network for quadratic optimization with bound constraintsIEEE Transactions on Neural Networks, 2001
- An Integrated Approach to Economic Emission Load Dispatching Using Neural Network and Goal-Attainment MethodsElectric Machines & Power Systems, 1999
- Neural-net based real-time economic dispatch for thermal power plantsIEEE Transactions on Energy Conversion, 1996
- Emission dispatch models and algorithms for the 1990sIEEE Transactions on Power Systems, 1995
- Short-term energy and emission trading analysisIEEE Transactions on Power Systems, 1995
- A summary of environmental/economic dispatch algorithmsIEEE Transactions on Power Systems, 1994
- Environmentally constrained economic dispatch using the LaGrangian relaxation methodIEEE Transactions on Power Systems, 1994
- Nonlinear switched capacitor 'neural' networks for optimization problemsIEEE Transactions on Circuits and Systems, 1990