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Proportional-integral controller based small-signal analysis of hybrid distributed generation systems

机译:基于比例积分控制器的混合分布式发电系统小信号分析

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The large band variation in the wind speed and unpredictable solar radiation causes remarkable fluctuations of output power in offshore wind and photovoltaic system respectively, which leads to large deviation in the system frequency. In this context, to minimize the deviation in frequency, this paper presents integration of different energy resources like offshore wind, photovoltaic (PV), fuel cell (FC) and die-sel engine generator (DEC) along with the energy storage elements like flywheel energy storage system (FESS) and battery energy storage system (BESS). Further ultracapacitor (UC) as an alternative energy storage element and proportional-integral (PI) controller is addressed in order to achieve improvements in the deviation of frequency profiles. A comparative assessment of frequency deviation for different hybrid systems is also carried out in the presence of high-voltage direct current (HVDC) link and high-voltage alternating current (HVAC) line. Frequency deviation for different isolated hybrid systems are presented graphically as well as in terms of integral square error (ISE). Both qualitative and quantitative analysis reflects the improvements in frequency deviation profiles with use of ultracapacitor (UC) as energy storage element.
机译:风速的大范围变化和不可预测的太阳辐射分别导致海上风能和光伏系统的输出功率出现明显波动,从而导致系统频率出现较大偏差。在这种情况下,为了最大程度地减少频率偏差,本文介绍了各种能源的集成,例如海上风能,光伏(PV),燃料电池(FC)和柴油发动机发电机(DEC)以及储能元件(如飞轮)储能系统(FESS)和电池储能系统(BESS)。为了实现频率分布的偏差的改善,提出了进一步的超级电容器(UC)作为替代的能量存储元件和比例积分(PI)控制器。在存在高压直流(HVDC)链路和高压交流(HVAC)线路的情况下,还对不同混合系统的频率偏差进行了比较评估。图形化以及积分平方误差(ISE)表示了不同隔离混合系统的频率偏差。定性和定量分析均反映了使用超级电容器(UC)作为储能元件可改善频率偏差曲线。

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