Multi-objective Performance Management of the Capacitor Allocation Problem in Distributed System Based on Adaptive Modified Honey Bee Mating Optimization Evolutionary Algorithm

2013 ◽  
Vol 41 (13) ◽  
pp. 1223-1247 ◽  
Author(s):  
Abdollah Kavousi-Fard ◽  
Haidar Samet
Keyword(s):  
Evolutionary Algorithm ◽  
Performance Management ◽  
Honey Bee ◽  
Distributed System ◽  
Allocation Problem ◽  
Multi Objective ◽  
Objective Performance ◽  
Capacitor Allocation ◽  
Honey Bee Mating Optimization

Multi-Objective Operation Optimization of a Micro-Grid Using Modified Honey Bee Mating Optimization Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1593-1597 ◽  
Author(s):  
Li Zhen Wu ◽  
Xiao Hong Hao
Keyword(s):  
Honey Bee ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Pollutant Emissions ◽  
Superior Performance ◽  
Emissions Reduction ◽  
Nonlinear Constraint ◽  
Multi Objective ◽  
Micro Grid ◽  
Honey Bee Mating Optimization

Recently, it becomes the head of concern for the Micro-grid to derive an optimal operational planning with regard to energy costs minimization, pollutant emissions reduction and better utilization of renewable energy sources (RESs), which accompanied by a Wind Turbine/Fuel Cell/Photovoltaic and Battery hybrid power source to level the power mismatch or to store the surplus of energy when its needed. In this paper, a new method based on multi-objective Modified Honey Bee Mating Optimization (MHBMO) algorithm is proposed and implemented to dispatch the generations in a typical micro-grid considering economy and emission as competitive objectives. The problem is formulated as a nonlinear constraint multi-objective optimization problem to minimize the total operating cost and the net emission simultaneously. The proposed algorithm is tested on a typical MG and its superior performance is compared to those from other evolutionary algorithms such as GA (Genetic Algorithm) and the original Honey Bee Mating Optimization (HBMO).

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