Application of a hybrid evolutionary algorithm on reactive power compensation problem of distribution network

Shefaei, Alireza; Vahid-Pakdel, M.J.; Mohammadi‐Ivatloo, Behnam

doi:10.1016/j.compeleceng.2018.09.012

Cited by 23 publications

(14 citation statements)

References 19 publications

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“…As is shown, the solution proposed for case 1c, that equals the solution of VIIA, improves in 1.3% the solution of SSO . The solution proposed for case 2a, which is very similar to the obtained by VIIA, overpass in 3.7% the solution of PSO‐EM with less of half of banks and in 2.5% the solution of FPA . The solution proposed for case 2b, almost the same to the solution of VIIA, improves in 1% the solution of WOA, which uses non‐standard capacitors.…”

Section: Examples Of Applicationsupporting

confidence: 62%

“…The comparison of the solutions for minimum cost with nominal load is shown in Tables . As can be seen, the solutions of VIIA‐2 improve all the solutions obtained by the previous contributions: FPA, IHA, MBA, SSO, WOA, LS, PSO‐EM, CSA, MFO, GWO, DFO, and PSOGSA . Besides, the proposed solutions are very similar to the solutions calculated by the method VIIA…”

Section: Examples Of Applicationsupporting

confidence: 61%

“…Two solutions (a) and (b) are proposed for case 2a. The best solution (b) is very similar to the solutions of VIIA and PSO‐EM . Besides, that solution improves the solution of FPA in 3.6%.…”

Section: Examples Of Applicationmentioning

confidence: 55%

“…The chaos‐enhanced differential evolution algorithm is introduced by Mandal et al, while the locust search (LS) algorithm is presented by Díaz et al Besides, a hybrid algorithm based on combination of PSO and electromagnetic (EM)‐like algorithms is proposed by Shefaei et al…”

Section: Introductionmentioning

confidence: 99%

“…Even when only fixed capacitors are used, the consideration of several load levels with different costs and duration is fundamental to evaluate the capacitor placement effects on energy losses, losses cost, and maximum and minimum voltage constraints. However, many methods analyze only one load state.…”

Section: Introductionmentioning

confidence: 99%

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Capacitor placement by variables' inclusion and interchange improved algorithm

Abril

2020

Int Trans Electr Energ Syst

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Summary Very diverse optimization methods have been used to determining the optimal capacitor placement in distribution systems. Most of these methods analyze the use of fixed capacitor banks on circuits with only one load state. Other contributions consider the compensation with capacitors switched at different load levels. Almost all previous works represent the load as constant power with respect to voltage variations. This work improves the variables' inclusion and interchange algorithm with a new voltage‐dependent model that considers the variation of active and reactive load with the increase of voltage due to the capacitor placement. The load model used in this work can represent the load by a generalized function of the voltage, in which the constant power load, the constant current load, or the constant impedance load are particular cases. This voltage‐dependent model is the fundamental novelty of the method. The presented algorithm maximizes the annual cost saving in a circuit with several load levels by determining the locations, sizes, and control in time of the needed fixed and switched capacitors. The optimization is constrained with the bounds of minimum and maximum voltages. The capacitor placement solutions proposed by the developed method for various examples of four known circuits are compared with several of the most recently published solutions for these examples. The comparison shows the effectiveness of this method. The solutions obtained for different models of loads show the importance of considering, in the optimization, the load dependence with voltage.

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Section: Examples Of Applicationsupporting

confidence: 62%

Section: Examples Of Applicationsupporting

confidence: 61%

Section: Examples Of Applicationmentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Capacitor placement by variables' inclusion and interchange improved algorithm

Abril

2020

Int Trans Electr Energ Syst

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Efficient MILP formulations for AC optimal power flow to reduce computational effort

Nozarian

Nikoofard

Fereidunian

2020

Int Trans Electr Energ Syst

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AC optimal power flow (ACOPF) is a nonlinear and non-convex problem that might include various constraints. The methods in the literature for solving this problem may suffer from premature convergence and high computational effort. In this study, ACOPF is formulated as a mixed-integer linear programming (MILP) that allows problem modeling with a closer look at the limitations of actual operating conditions along with other common constraints.

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