2022
DOI: 10.1080/01430750.2022.2142287
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Locational marginal price based optimal placement of DG using stochastic radial basis function

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Cited by 5 publications
(2 citation statements)
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“…In this paper, there are two optimization techniques to solve the objective function value (minimization). These two optimization techniques algorithm optimized the entire function by improving each particle which is used for as a variable and also to limit the upper and lower standard limit [18]. In the optimization techniques basically we taken a variables as proper inputs of the distribution system and on these inputs variables we can apply constraints in this paper one technique known as JAYA there is not mandatory need to apply constraints or may subjected if its needed.…”
Section: Objective Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this paper, there are two optimization techniques to solve the objective function value (minimization). These two optimization techniques algorithm optimized the entire function by improving each particle which is used for as a variable and also to limit the upper and lower standard limit [18]. In the optimization techniques basically we taken a variables as proper inputs of the distribution system and on these inputs variables we can apply constraints in this paper one technique known as JAYA there is not mandatory need to apply constraints or may subjected if its needed.…”
Section: Objective Functionmentioning
confidence: 99%
“…B. Adewumi et al [17] represented the influence of distributed Energy Storage Systems on PQ in distribution and transmission networks is analyzed. M. I. Ahmed et al [18] suggested that the OSS of DG using stochastic radial basis function to minimize the cost.In [19] a comprehensive study in power systema and the possible PQ issues has been studied highlighting the importance of CPD in mitigation of these problems.…”
Section: Introductionmentioning
confidence: 99%