Title: A fast solver for combined emission/generation allocation using a Hopfield neural network

Authors: Farid Benhamida; Belhachem Rachid; Souag Slimane; Ramdani Youcef

Addresses: IRECOM Laboratory, Department of Electrical Engineering, Djillali Liabes University of Sidi Bel-Abbes, 22000, Algeria ' IRECOM Laboratory, Department of Electrical Engineering, Djillali Liabes University of Sidi Bel-Abbes, 22000, Algeria ' IRECOM Laboratory, Department of Electrical Engineering, Djillali Liabes University of Sidi Bel-Abbes, 22000, Algeria ' IRECOM Laboratory, Department of Electrical Engineering, Djillali Liabes University of Sidi Bel-Abbes, 22000, Algeria

Abstract: The combined economic/emission dispatch (CEED) problem is obtained by considering both the economy and the emission objectives with required constraints. Many optimisation techniques are slow for such complex optimisation tasks and are not suitable for online use. This paper presents an optimisation algorithm for solving constrained CEED, through the application of a flexible Hopfield neural network (HNN). The constrained CEED must satisfy the system load demand and practical operation constraints of generators. The feasibility of the proposed HNN using to solve CEED is demonstrated using a three-unit test system and it is compared with the other methods in terms of solution quality and computation efficiency. The simulation results showed that the proposed HNN method was indeed capable of obtaining higher-quality solutions efficiently in CEED problems with a much shorter computation time compared with other methods.

Keywords: generation allocation; CEED; environmental economic dispatch; economic emission dispatch; economic dispatch; gas emissions; Hopfield neural networks; optimisation; simulation; power generation; fuel costs; pollutant emissions; environmental impact; air pollution; air quality.

DOI: 10.1504/IJRIS.2013.057269

International Journal of Reasoning-based Intelligent Systems, 2013 Vol.5 No.2, pp.82 - 87

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 20 Oct 2013 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article