CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

Ghasemi, Maryam; Ghavidel, Sahand; Aghaei, Jamshid; Akbari, Ebrahim; Li, Li

doi:10.1002/etep.2536

Cited by 55 publications

(25 citation statements)

References 135 publications

(181 reference statements)

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“…The CFLBO is a metaheuristic approach that was presented by Ghasemi, Ghavidel, Aghaei, Akbari, and Li [15]. This approach mimics Coulomb's and Franklin's hypotheses.…”

Section: Synopsis Of the Cflbo Approachmentioning

confidence: 99%

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Robust Multi-Area Economic Dispatch Using Coulomb’s and Franklin’s Laws Based Optimizer

Sakthivel¹,

Murugesan

Sathya

2020

Int. j. eng. technol. innov.

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The multi-area economic load dispatch (MAELD) can reduce running costs through making the areas with more cost-effective units produce more energy. The excess power is transferred to the areas with expensive units. This paper contributes a new physics inspired metaheuristic approach called the Coulomb’s and Franklin’s laws based optimizer (CFLBO) to solve the MAELD problem. The CFLBO approach is developed from Coulomb’s and Franklin’s theories, which comprise attraction/repulsion, probabilistic ionization, and contact stages. The effectiveness of the envisaged CFLBO approach has been examined on three standard test systems with various areas. Results obtained by the CFLBO approach are compared with the exchange market algorithm (EMA) and the existing state-of-the-art approaches to deal with MAELD. Numerical outcomes show the benefits of the quick convergence and better quality of the suggested approach compared to existing strategies. Consequently, the proposed approach is a helpful tool for generation planning in MAELD problems.

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“…The CFLBO is a metaheuristic approach that was presented by Ghasemi, Ghavidel, Aghaei, Akbari, and Li [15]. This approach mimics Coulomb's and Franklin's hypotheses.…”

Section: Synopsis Of the Cflbo Approachmentioning

confidence: 99%

“…Coulomb's and Franklin's laws based optimizer (CFLBO) is a new physics-motivated metaheuristic algorithm developed by Ghasemi, Ghavidel, Aghaei, Akbari, and Li in 2018 [15]. This algorithm is a population-based approach inspired by Coulomb's and Franklin's theories.…”

Section: Introductionmentioning

confidence: 99%

Robust Multi-Area Economic Dispatch Using Coulomb’s and Franklin’s Laws Based Optimizer

Sakthivel¹,

Murugesan

Sathya

2020

Int. j. eng. technol. innov.

View full text Add to dashboard Cite

show abstract

“…However, for approximately all cases, quality of found solutions is dependent on both Max Iter and population size N ps in which N ps directly influences the best optimal solution of the current iteration and execution time of one iteration while Max Iter directly influences the final optimal solution of one run and execution time of one run. The proposed ISSO method handles constraints (6), (8)-(11) by using control variables shown in (25) and other penalty methods in equations (39)- (43) so that all constraints are always satisfied. One solution is considered to be optimal if it can satisfy all constraints shown in problem formulation section and its objective function is not very high.…”

Section: Termination Criterionmentioning

confidence: 99%

A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem

et al. 2019

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The paper develops an improved social spider optimization algorithm (ISSO) for finding optimal solutions of economic load dispatch (ELD) problems. Different ELD problem study cases can bring huge challenges for testing the robustness and effectiveness of the proposed ISSO method since discontinuous objective functions as well as complicated constraints are taken into account. The improved method is different from original social spider optimization algorithm (SSSO) by performing several modifications directly related to three processes of new solution generation. Namely, the proposed method keeps one formula for the first and the second generations and modify them effectively while SSSO has two different formulas for each generation. In the third generation, the proposed method applies a new formula for determining the mating radius of dominant males and females with the intent to expand search space and avoid falling into local zones. The modifications can support the proposed ISSO method find better solutions with faster manner than SSSO while the number of control parameters and the number of computational processes can be reduced. As a result, the proposed method can find much less generation cost and achieve faster search speeds than SSSO for all considered systems. On the other hand, the search ability evaluation of the proposed method is also given by comparing results with other existing methods available in previous studies. The proposed method can obtain approximate or better results and faster convergence than nearly all compared methods excluding for the last system. Consequently, the proposed ISSO method can be recommended to be a strong method for ELD problem and it can be tried for other mathematical problems in engineering.

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“…Compared with other traditional methods, it has the advantages of short solution time and high search efficiency. Therefore, intelligent algorithms have become common and effective approaches to solving the ELD problem [7].…”

Section: Introductionmentioning

confidence: 99%

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Zhang

Chao

2020

Electronics

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Economic Load Dispatch (ELD) is a key issue in power systems and its goal is to achieve minimum economic costs by allocating the output of generator units when satisfying the load demands and the operating constraints. As the dimension of the variables and the constraints increase, the traditional mathematical method is gradually not suitable for the ELD. This paper proposes an Improved Bird Swarm Algorithm (IBSA) to solve the ELD problem of a power system. By introducing the nonlinear cognitive and social coefficients, the proportion of individual learning and social learning of birds can be dynamically adjusted. In addition, the Levy flight strategy is added to the group between producers and beggars to increase the randomness. The performance of IBSA is verified via two systems consisting of 6 and 15 units, respectively, that take into account generation limitation, ramp rate limit, and prohibited operating zones. From the simulation results, the IBSA has shown excellent performance and robustness, which can be considered as a reliable solution for the ELD.

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CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

Cited by 55 publications

References 135 publications

Robust Multi-Area Economic Dispatch Using Coulomb’s and Franklin’s Laws Based Optimizer

Robust Multi-Area Economic Dispatch Using Coulomb’s and Franklin’s Laws Based Optimizer

A Novel Social Spider Optimization Algorithm for Large-Scale Economic Load Dispatch Problem

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

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