孤岛微电网风力发电系统能量优化管理

H. Babazadeh, Wenzhong Gao, Ziping Wu, Yan Li
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引用次数: 19

摘要

在没有大电网供电的偏远地区,通过在孤岛微电网中安装发电厂,可以利用风能产生大量电力。由于风速的波动和由此产生的可变风力,小型柴油发电机辅助风力发电机提供稳定、持续和高效的发电。此外,电池储能系统(BESS)能够与其他发电机协调调节其有功功率输出,以平衡动态电力需求和供应。由于成本和效率始终是偏远地区微网控制和运行的首要问题,能源管理成为微网中央控制单元的首要准则。风力发电机组在微电网中的能量管理旨在从发电、成本和负荷三个方面对系统进行优化。由于风速具有较高的不确定性和波动性,为了减小风速的不确定性和波动性的影响,采用了动态规划方法(DPM)。为此,本文研究了一种短期与长期相结合的优化方法。同时,利用MATLAB软件对微电网系统进行了建模和仿真。
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Optimal energy management of wind power generation system in islanded microgrid system
In remote district without power supply from bulk electric grid, wind energy can be utilized to generate a large quantity of power when power plants are installed in an islanded micro-grid. Due to fluctuations in wind speed and resulting variable wind power, a small-scale diesel generator assists the wind power generator in providing a stable, sustained and efficient power generation. In addition, a Battery Energy Storage System (BESS) is capable of regulating its active power output in coordination with other generators to balance dynamic power demand and supply. Since the cost and efficiency is always the first issue for the control and operation of micro-grid in remote areas, energy management becomes the primary criterion in central control unit of micro-grids. The energy management of the wind power generator in micro-grid aims to optimize the system in terms of generation, cost, and load. Due to high uncertainty and volatility of wind speed, the Dynamic Programming Method (DPM) is employed in order to reduce the impact of wind speed uncertainty and fluctuation. For this purpose, a combined short term and long term optimization is studied in this paper. Meanwhile, a micro-grid system is modeled and simulated using MATLAB software.
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