2023
DOI: 10.4018/ijsir.317136
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Artificial Electric Field Algorithm Applied to the Economic Load Dispatch Problem With Valve Point Loading Effect

Abstract: Economic load dispatch is to operate thermal generators economically with fulfilling load demand. This economic dispatch problem becomes highly complex and non-linear after considering various operating constraints like valve-point loading effect, generator operating constraints, and prohibited operating zone. The recently developed physics law-based artificial electric field algorithm has been applied to solve highly complex and non-linear ELD problems. The exploration and exploitation strategy of the algorit… Show more

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Cited by 6 publications
(2 citation statements)
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“…For the fault recovery model of distribution networks containing DG, traditional optimization algorithms such as GA and PSO algorithm can no longer meet their actual needs. Therefore, the proposed method includes a new optimization SSA to solve it (Shah et al, 2023;Zhang & Tang, 2024). The SSA is a swarm intelligence optimization algorithm that mimics the foraging and antipredation behaviors of sparrows, with advantages such as simple structure and strong optimization performance (Du et al, 2024;He & Wang;.…”
Section: Improved Squirrel Search Algorithmmentioning
confidence: 99%
“…For the fault recovery model of distribution networks containing DG, traditional optimization algorithms such as GA and PSO algorithm can no longer meet their actual needs. Therefore, the proposed method includes a new optimization SSA to solve it (Shah et al, 2023;Zhang & Tang, 2024). The SSA is a swarm intelligence optimization algorithm that mimics the foraging and antipredation behaviors of sparrows, with advantages such as simple structure and strong optimization performance (Du et al, 2024;He & Wang;.…”
Section: Improved Squirrel Search Algorithmmentioning
confidence: 99%
“…Although the intelligent prediction of human joint moment has achieved a lot in the spine, upper limbs, lower limbs and other parts, almost all studies employ fully-connected ANN as the prediction model, which is complex in structure, time-consuming in computation, and high in storage requirement (Shah et al, 2023). Such high computational and storage costs mean that the ANN is rarely used in embedded systems.…”
Section: Introductionmentioning
confidence: 99%