Abstract
In this article whale optimization algorithm (WOA) has been applied to solve the combined heat and power economic dispatch (CHPED) problem. The CHPED is energy system which provides both heat and power. Due to presence of valve point loading and the prohibited working region, the CHPED problems become more complex one. The main objective of CHPED problem is to minimize the total cost of fuel as well as heat with fulfill the load demand. This optimization technique shows several advantages like having few input variables, best quality of solution with rapid computational time. The recommended approach is carried out on three test systems. The simulation results of the present work certify the activeness of the proposed technique.
Highlights
Heat is released, into the natural atmosphere from all thermal power generating plants through cooling towers, flue gas, or by other means during generation of electric power
Three test systems are taken in this simulation study, to check the effectiveness and efficiency of the proposed whale optimization algorithm (WOA) algorithms for combined heat and power economic dispatch (CHPED) problem
To show the superiority of the proposed algorithm the results from the WOA algorithm are compared with classic PSO (CPSO) (Mohammadi-Ivatloo et al, 2013), TVACPSO (Mohammadi-Ivatloo et al, 2013), teaching learning based optimization (TLBO) (Roy, 2013), group search optimization (GSO) (Basu, 2016)
Summary
Into the natural atmosphere from all thermal power generating plants through cooling towers, flue gas, or by other means during generation of electric power. Gravitational search algorithm proposed by Beigvand et al (Beigvand et al 2016) to solve CHPED problem of power system, where the effectiveness of GSA has been tested with considering valve point loading and transmission losses. Basu 2016) to perform non smooth non convex based CHPED problem, where valve point loading and prohibited operating zone has been considered to judge the effectiveness of proposed algorithm. 2019) introduced squirrel search algorithm to solve combined heat and power economic dispatch problem where renewable energy sources has been added with the system for cost and emission minimization. Gholamghasemi et al (Gholamghasemi et al 2019) applied an optimization technique to solve the ELD problem considering valve point loading, transmission losses, ramp rate and prohibited zone to judge the superiority of the proposed technique.
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