Moth Swarm Algorithm for Solving Combined Economic and Emission Dispatch Problem

Abstract

In this paper, the Moth Swarm Algorithm (MSA) is applied to the Combined Economic and Emission Dispatch (CEED) problem in thermal power plants. The analysis of behavior and the evaluation of performances of the algorithm are carried out on the standard test systems with 3 and 6 generators. The results of the MSA application to these test systems are compared with the results published in recent literature. The present paper shows that the proposed MSA gives an accurate and effective solution of the CEED problem. Index Terms-Combined economic and emission dispatch; moth swarm algorithm; power generation dispatch; power engineering computing.

Solving a combined economic emission dispatch problem using adaptive wind driven optimization

“…As can be seen in Table 5, AWDO provided better values for the minimum fuel cost in regard to the values obtained by the algorithms proposed in [16][17][18][19][20] as well as ones that are the same as the results obtained by the algorithms from [1] and [15]. The minimum values of NO x emission calculated by AWDO are the same as the associated results reported in [1] and [15] or better than the results in [16][17][18][19][20]. Randomness is one of properties of stochastic metaheuristic algorithms because the initialization of the population is carried out with random numbers.…”

“…Due to the complexity of the objective functions that take the form of a sum of quadratic, sinusoidal, and exponential functions, a large number of stochastic nature-inspired metaheuristic algorithms (MAs) to solve the CEED problem were presented in the literature. In [1] an overview of over 30 MAs proposed in various published papers for solving the CEED problem was given.…”

Optimal Power Flow of a Power System Incorporating Stochastic Wind Power Based on Modified Moth Swarm Algorithm

“…The MSA is employed to solve successfully the OPF problem, combined economic and emission dispatch problem, and environmental dispatch with valve-point effect problem [7], [18]. The simulation results prove the ability of the MSA to find a better solution than other methods used in the comparison.…”

“…This case investigates the effectiveness of MMSA to solve the OPF of combined heat and power system considering stochastic wind power under contingency state. The outage of lines (10)(11)(12)(13)(14)(15)(16)(17) and (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21) simulates the contingency state in this case. The optimal values of the control variables of this case are given in Table 3.…”

Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm

“…The results obtained from MSA are competed with the lately reported results. Moth swarm algorithm (MSA) was evolved by Al-Attar Ali Mohamed in 2017 [23] and employed for solvingoptimization problems such as combined economic and emission dispatch [24] and image segmentation [25,26]. In summary, the novelty and contribution of the paperare as follows:  The first application of MSA for different case of installing capacitors in radial distribution network  Demonstration of the effectiveness of the number of capacitors for voltage enhancement  Show a detail of MSA procedure for updating new solutions  Successfully apply MSA for solving OCLSD problem  MSA can reach higher quality solutions than other ones.…”