Barnacles Mating Optimizer Algorithm for Optimization

Sulaiman, Mohd Herwan; Mustaffa, Zuriani; Saari, Mohd Mawardi; Daniyal, Hamdan; Mohamad, Ahmad Johari; Othman, Mohd Rizal; Mohamed, Mohd Rusllim

doi:10.1007/978-981-13-3708-6_18

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…In this paper, cohesive meta-heuristic is being used to solve CEELD problems and three recent algorithms have been selected to see the performance of this approach. The three algorithms are Barnacles Mating Optimizer (BMO) [9,10], Moth-Flame Optimizer (MFO) [11] and Grey Wolves Optimizer (GWO) [12]. Thus, three combination of meta-heuristic algorithms are performed viz.…”

Section: Cohesive Meta-heuristic Approachmentioning

confidence: 99%

Solving Combined Economic and Emission Load Dispatch Using Cohesive Meta-heuristic Approach

Sulaiman

Mustaffa

Alfandi

et al. 2021

Lecture Notes in Electrical Engineering

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This paper proposes a new approach of solving optimization problem especially in combined economic emission load dispatch (CEELD) called cohesive meta-heuristic. CEELD is one of the challenging power system operation problems which considering the minimization of cost of power generation as well as emission level simultaneously. These two objectives are contrary each other which is difficult to solve and for this paper, these two objectives are convert into a single objective by introducing weightage and cost penalty factor. Cohesive meta-heuristic on the other hand is the new terminology of cooperation of existing meta-heuristic algorithms to obtain a better solution. In order to show the effectiveness of proposed method, 40-units generators system will be utilized and compared with the other methods. KeywordsBarnacles mating optimizer • Cohesive meta-heuristic • Combined economic & emission dispatch • Grey wolves optimizer • Moth flame optimizer 1 IntroductionEconomic Load Dispatch (ELD) problem is one of the challenging tasks in power system operation. The main objective of ELD is to find the optimal combination of power generations so that the minimum cost can be obtained. Since most of the power system generations in the world still using the thermal type of generators that can eventually give bad impacts to the environmental issue, the ELD research is extended to not only to find best combination of power output that minimize the cost, but also minimize the emission to the environment, called as Economic and Emission Load Dispatch (EELD). EELD can be solve in two ways: by using multi-objective approach and combined them into single objective called Combined Economic &

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Section: Cohesive Meta-heuristic Approachmentioning

confidence: 99%

Solving Combined Economic and Emission Load Dispatch Using Cohesive Meta-heuristic Approach

Sulaiman

Mustaffa

Alfandi

et al. 2021

Lecture Notes in Electrical Engineering

Self Cite

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A novel approach of intensified barnacles mating optimization for the mitigation of power system oscillations

Devarapalli

Bhattacharyya

Kumari

2021

Concurrency and Computation

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Optimization is the process of attaining the best solution from the available set of prioritized constraints to maximize or minimize the desired function involved in it. It is imperative in engineering to plan and design to find the best out of confined resource and time. A recently recommended barnacles matting optimization (BMO) has been recognized in computing the optimal parameters of the electric power system with excellent performance characteristics. In this paper, the intensified version of BMO has been proposed with the aid of cuckoo search (CS) and traditional particle swarm optimization (PSO). An in‐depth analysis was made on the BMO technique and proposed suitable modifications to deal with the electrical power system stability enhancement issue efficiently. The proposed technique in the power system stabilizer (PSS) parameter computation is validated on the 23 benchmark functions to examine for its suitability. The robustness of the proposed method is presented via statistical analysis and boxplot of the 23 benchmark functions. The PSS parameters are computed in a benchmark two area four machine system using intensified BMO under self‐clearing fault conditions. A multi‐objective function is designed to improve the damping nature offered under system uncertainties, and the comparative analysis is presented among conventional PSS, BMO, intensified BMO with CS and PSO (BMO‐CS and BMO‐PSO), and harris hawks optimizer.

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Barnacles Mating Optimizer Algorithm for Optimization

Cited by 2 publications

References 6 publications

Solving Combined Economic and Emission Load Dispatch Using Cohesive Meta-heuristic Approach

Solving Combined Economic and Emission Load Dispatch Using Cohesive Meta-heuristic Approach

A novel approach of intensified barnacles mating optimization for the mitigation of power system oscillations

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