A modified Hopfield approach designed to solve ED problems with transmission system representation is presented in this paper. Another drawback pointed out in the literature is that some of the neural approaches fail to converge efficiently toward feasible equilibrium points. Therefore, such procedures may calculate dispatch policies, which do not take into account important active power constraints. All ED models solved by neural approaches described in the literature fail to represent the transmission system. The ability of neural networks to realize some complex non-linear function makes them attractive for system optimization. Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Results show that the proposed method is very competent in solving ED problem in comparison with other existing methods.Įconomic dispatch (ED) problems have recently been solved by artificial neural network approaches. In this paper, the proposed IPSO, hybrid PSO, PSO and EP techniques such as CEP, FEP, MFEP methods have been tested on IEEE-14, 30, 118-bus and also on 66-bus Indian utility system.

The proposed approach compares the results obtained from hybrid PSO, Conventional Particle Swarm Optimization (PSO), Evolutionary Programming (EP) techniques such as CEP, FEP and MFEP. Combining the advantages of CEP, FEP and MFEP in the PSO method called hybrid PSO. Different evolutionary programming (EP) techniques such as Classical EP (CEP), Fast-EP (FEP) and Mean of Classical and Fast EP (MFEP) have different features and their combination with PSO may become more effective to find the optimal solution. In the proposed IPSO method, a new velocity strategy equation is formulated suitable for large scale system and the features of the Constriction Factor Approach (CFA) are also incorporated into the proposed approach. This paper presents an Improved Particle Swarm Optimization (IPSO) to solve the Economic Dispatch (ED) problem with line flow constraints, bus voltage limits and generator operating constraints.

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