A multi-objective Bees Algorithm for optimum allocation of FACTS devices for restructured power system

Mitigating Congestion in Restructured Power System using FACTS Allocation by Sensitivity Factors and Parameter Optimized by GWO

“…While the minimum value of ATC, 12.86 MW is obtained at line between 8-26. The effect of generator at bus number 11 on the distribution of ATC in the system for all transactions is shown in figure (10). It is clear from the figure that maximum value of ATC, 7.77 MW, during all transactions is obtained at the line between seller bus 11 and the buyer bus 16.…”

“…Different approaches were applied to optimize the location of fact devices. A number of heuristic methods like GA & BA were applied for optimal tuning of FACTS controller to enhance system ATC [10].…”

Multi-Objective Tabu Search for the Location and Sizing of Multiple Types of FACTS and DG in Electrical Networks

“…The values of the coefficients F 1,i , F 2,i and F 3,i are specified in Table A1. These coefficients are retrieved from [18][19][20][21][22][23][24][25]64]. For the STATCOM function, the data curve recognition provided by [18] is employed; the values for the HVDC are obtained by adjusting the curve using the cost information calculated in [64].…”

“…One way to solve the problem in consideration is by optimizing an economic objective function, formulated with fixed kVAr costs [16,17] or with quadratic formulations [18][19][20][21][22][23][24][25]. Other authors include the annual investment cost [26], capital recovery factor [27,28], annual cost device [29], or a combination of them; as well as the active power generation fuel cost and the reactive power generation fuel cost, if the DG units are combustion machines [30][31][32].…”

Computing with the collective intelligence of honey bees – A survey

“…Incremental ABC [S240], ABC with Dynamic Population [S241], GbestABC [S247] Boost Converter & PI/PID Controller, inverter Queen Bee Assisted GA [162], Hybrid Genetic ABC [S125], Cauchy Mutated ABC [142], BCO [68] Capacitor Placement, compensator Queen Bee Assisted GA [S214], Virtual Bee Algorithm [S188], Bees Algorithm [S176] Distribution System's network configuration HBMO [S43], ABC [143][S127], Modified ABC [S91], Priority ordered constrained search along with ABC [S129], Hybrid HBMO and Fuzzy sets [117], Chaotic Improved HBMO [115], Efficient Multi Objective HBMO [S40, S41], fuzzy method based on HBMO [116], A hybrid HBMO and Discrete PSO [114], BCO [S65] Optimal Power flow ABC [S215], Hybrid DE-ABC [S250] Load Profile Clustering HBMO [S45] HVDC and FACTS BA [S168], Multi-objective BA [60]…”