Abstract
This paper presents a microgrid (MG) energy management strategy by considering renewable energy and battery storage systems. Renewable energy, including wind power generation and solar power generation, is integrated into the distribution network, for which is formulated the optimal dispatch model of mixed-power generation by considering the charging/discharging scheduling of battery storage systems. The MG system has an electrical link for power exchange between the MG and the utility during different hours of the day. Based on the time-of-use (TOU) and all technical constraints, an enhanced bee colony optimization (EBCO) is proposed to solve the daily economic dispatch of MG systems. In the EBCO procedure, the self-adaption repulsion factor is embedded in the bee swarm of the BCO in order to improve the behavior patterns of each bee swarm and increase its search efficiency and accuracy in high dimensions. Different modifications in moving patterns of EBCO are proposed to search the feasible space more effectively. EBCO is used for economic energy management of grid-connected and stand-alone scenarios, and the results are compared to those in previous algorithms. In either grid-connected or stand-alone scenarios, an optimal MG scheduling dispatch is achieved using micro-turbines, renewable energy and battery storage systems. Results show that the proposed method is feasible, robust and more effective than many previously-developed algorithms.
Highlights
The greenhouse gas (GHG) emission of electric power sectors around the world is about 1/3 of the total world GHG emissions, indicating the significance of the electric power sector in the global warming issue
Climate change due to GHG emissions has become a focus of international organizations and governments
In a grid-connected scenario, the cost-benefit power trading between the MG system and the utility can be used at any time
Summary
The greenhouse gas (GHG) emission of electric power sectors around the world is about 1/3 of the total world GHG emissions, indicating the significance of the electric power sector in the global warming issue. Climate change due to GHG emissions has become a focus of international organizations and governments. In order to reduce GHG emissions, many have aimed to find more environmentally-friendly alternatives for electrical power generation. Distributed generators (DGs) are required for local energy markets, as an important alternative energy production option in the near future [1]. DG’s technologies may include photovoltaics (PV), small wind turbines (WT), fuel cells, micro-turbines (MTs), etc. The integration of DGs and energy storage systems (ESS)
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