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

Abstract:

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).

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 1593-1597
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.1593
• Online since: February 2014
• Authors: Li Zhen Wu*, Xiao Hong Hao
• Keywords: MHBMO (Modified Honey Bee Mating Optimization), Microgrids (MGs), Multi-Objective Operation, Photovoltaic (PV), Wind Turbine (WT)

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