The Neural Network Modeling Approach for Long Range Expansion Policy of Power Plant Ccenters

Abstract

Traditionally, Electrical power plant capacities are determined after specific plant locations have been selected. In this paper an expansion policy of power plant centers involving the choice of regions that must be allocated to power plant centers and power plant centers capacities over a specified planning horizon (years) is tackled. The problem is performed as a mixed integerprogramming model and solved using a modified Hop field’s neural network model designed for (T.S.P) travel salesman problem. This paper makes an approach to estimate number of centers, optimum distributions power respect to minimizing fixed investment and operational cost in long term.