Planejamento da Transmissão via Meta-Heurística Híbrida

Nepomuceno, Lucas S.; Paula, Arthur N. de; Oliveira, Edimar J. de

doi:10.48011/sbse.v1i1.2481

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…This test system was proposed by [44] to perform reliability analysis that, after modifications in generation and load data, was also used for STNEP studies [5], [45], [46], [9], [12], among others. Because it is known by the international community, it is a good option for testing new optimization techniques.…”

Section: V1 Ieee Test System (Ieee-24/41)mentioning

confidence: 99%

“…According to [5], [12], [49] and several other authors, the optimal solution for this system, without considering the effect of active power losses but allowing generation redispatch (G0 generation scenario in [47], is composed of five circuits connected in four branches (#6-10=1, #7-8=2, #10-12=1, #14-16=1) and costs US$ 152 million.…”

Section: V11 Lossless Optimal Solutionsmentioning

confidence: 99%

“…Author US$ 182: #6-10=1, #7-8=2, #10-12=1, #14-16=1, #20-23=1 [12] US$ 188: #6-10=1, #7-8=2, #10-12=1, #14-16=1, #16-17=1 [9] Source: Authors, (2022).…”

Section: Solution Costs (Million) and Circuitsmentioning

confidence: 99%

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Modified Bat Algorithm for transmission network expansion planning considering active power losses

Barros¹,

Barros²

2023

ITEGAM

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This paper presents a metaheuristic algorithm, called BATp optimizer, to solve the combinatorial problem of static transmission networks expansion planning (STNEP) considering the effect of active power losses in the circuits. The optimizer is composed of two modules. One module generates candidate solutions, using the modified Bat Algorithm (BA), and the other that makes solutions with over costs or infeasibilities competitive. The modification made to the original BA consists in the inclusion of a local search intensification operator that acts on the elements of the current global optimal solution to improve the convergence rate and hinder stagnation in a suboptimal solution. The number of elements modified in the current global optimal solution is defined as a function of the number of buses and branches in the analyzed system. The size of the initial population is also defined as a function of the number of buses and branches. The active power losses are represented in the equality constraints of the mixed-integer nonlinear programming (MINLP) problem. The performance evaluation of the transmission network of the analyzed system is done by a linear power flow. The performance of the BATp optimizer was tested in three systems well known in the literature: the IEEE 24-bus and the South Brazilian -SB 46-bus. In each of the analyzed systems, situations were simulated with and without the possibility of generation redispatch. The BATp optimizer was able to find good results compared to those published in the literature, with relatively low computational effort.

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Section: V1 Ieee Test System (Ieee-24/41)mentioning

confidence: 99%

Section: V11 Lossless Optimal Solutionsmentioning

confidence: 99%

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Modified Bat Algorithm for transmission network expansion planning considering active power losses

Barros¹,

Barros²

2023

ITEGAM

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Potential Contribution of the Grey Wolf Optimization Algorithm in Reducing Active Power Losses in Electrical Power Systems

2022

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Active power losses have the potential to affect the distribution of power flows along transmission lines as well as the mix of energy used throughout power networks. Grey wolf optimization algorithms (GWOs) are used in electrical power systems to reduce active power losses. GWOs are straightforward algorithms to implement because of their simple structure, low storage and computing needs, and quicker convergence from the constant decrease in search space. The electrical power system may be separated into three primary components: generation, transmission, and distribution. Each component of the power system is critical in the process of distributing electricity from where it is produced to where it is used by customers. By using the GWO, it is possible to regulate the active power delivered by a high-voltage direct current network based on a multi-terminal voltage-source converter. This review focuses on the role of GWO in reducing the amount of active power lost in power systems by considering the three major components of electrical power systems. Additionally, this work discusses the significance of GWO in minimizing active power losses in all components of the electrical power system. Results show that GWO plays a key role in reducing active power losses and consequently reducing the impact of power losses on the performance of electrical components by different percentages. Depending on how the power system is set up, the amount of reduction can be anywhere from 12% to 65.5%.

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Planejamento da Transmissão via Meta-Heurística Híbrida

Cited by 2 publications

References 13 publications

Modified Bat Algorithm for transmission network expansion planning considering active power losses

Modified Bat Algorithm for transmission network expansion planning considering active power losses

Potential Contribution of the Grey Wolf Optimization Algorithm in Reducing Active Power Losses in Electrical Power Systems

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