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...performance was initially measured using benchmark optimization function. The major advantages which ABC holds over other optimization algorithms include its: • Simplicity, flexibility and robustness =-=[6, 7]-=- • Use of fewer control parameters compared to many other search techniques [8]. • Ease of hybridization with other optimization algorithms [7]. • Ability to handle the objective cost with stochastic ...

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...Islanding in conventional distribution feeder or microgrids is very similar to the reconfiguration and restoration problems in conventional power systems, shipboard systems and isolated power systems =-=[6]-=-, [7], [8], [9], [10], [11]. Reconfiguration, in this context, is the restoration of energy service under the conditions of system failure, by isolating faults and balancing the load and generation in...

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...olving the OPF problem. However, the recent findings have identified some deficiencies in the GA performance. Recently, a new evolutionary computation technique, called artificial bee colony (ABC), has been proposed and introduced by Karaboga in [19]. The ABC 2 The Scientific World Journal algorithm is developed based on inspecting the behaviors of real bees on finding nectar and sharing the information of food sources to the bees in their hive. The main advantages of the ABC algorithm over other optimization methods for solving optimization are simplicity, high flexibility, strong robustness [20, 21], few control parameters [22], ease of combination with other methods [21], ability to handle the objective with stochastic nature [23], fast convergence, and both exploration and exploitation. In this paper, the ABC algorithm is proposed for solving OPF problem with both continuous and discrete control variables. The continuous controllable system quantities are generator MW, controlled voltage magnitude, and switchable shunt devices while the discrete ones are transformer tap settings. The objective is to minimize the total fuel cost of thermal generators by optimizing the control variables ...

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...erted to optimization problem which aims at minimizing the objective function (clustering criterion function) ...

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... In [11, 12] the authors used genetic algorithm to find the minimum loss configuration. Y. J. Jeon and J. C. Kim [13] proposed a loss minimum reconfiguration methodology using simulated annealing. In =-=[14, 15]-=- the authors proposed solution procedure using particle swarm methods. In this paper, a method employing ant colony optimization is used to solve the simultaneous capacitor placement and network recon...

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...ly used for finding nearly optimal solution and are frequently encountered in various applications such as TSP [10], Container Loading problems (CL) [11], Scheduling problems [12], engineering design =-=[13, 14]-=- etc. TSP is one of the NP hard optimization problems. In TSP, the salesman travels all the cities at once and returns to the starting city with the possible shortest route within small duration. Many...

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...ddress the volatility in the RES generations [4], [5]. II. RELATED WORK At present, a lot of research efforts have been conducted on conventional distribution system and microgrid reconfiguration. In =-=[6]-=-, [7], [8], [9], minimizing the active power loss (or total power loss) was considered as the sole objective. Multi-objective formulation of the reconfiguration problem was investigated in [10]. Besid...

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... and the simulation showed that the activespower loss obtained by the ABC algorithm is lower than those obtained by other heuristic algorithms,sand ABC algorithm had better convergence properties. In =-=[16]-=-, the ABC algorithm was applied to solvesa power system reconfiguration problem, which considered the active power loss as the objectivesfunction, and the simulation results showed that the power loss...