Paper title: INTELLIGENT ALGORITHM SOLUTIONS TO ECONOMIC DISPATCH WITH MULTIPLE FUELS AND NON-SMOOTH COST FUNCTION
Author(s): KHERFANE RIAD LAKHDAR, MIMOUN YOUNES, FOUAD KHODJA, NAAS KHERFANE,
Abstract: This paper presents a new and efficient method for solving economic power dispatch (EPD) problem. To solve this
problem we have combined two meta-heuristic methods, the monkey algorithm (MA) and the genetic algorithm
(GA). The acceleration of the convergence speed, the improved solution quality and the balance between
exploration and exploitation are achieved with GA-MA approach. The strength of the proposed approach is tested
and validated on a system with 10 generators. The obtained results are compared with those in literature. The
results show that the proposed approach provides accurate solutions for the EPD problem in power systems.
Keywords: Economic power dispatch (EPD), Monkey algorithm (MA), Genetic algorithm (GA), Multiple fuels,
Valve-point effects, Hybrid method Year: 2016 | Tome: 61 | Issue: 1 | Pp.: 32-36
Full text : PDF (203 KB) |