Mitigation of transient effects due to partial shading in a grid-connected photovoltaic farm through controlled vehicle to grid operation

A. Haque , N. Mohammad , S. Morsalin , N. Das
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Abstract

Environmental issues and air pollution in urban areas are driving forces behind the shift to electric vehicles (EVs). The energy storage element of the EVs can be used in many effective ways, such as increasing spinning reserve, shaving peak load, load levelling, voltage regulation etc. So, establishing a smart grid with several renewable energy sources along with the grid integration of EVs is the recent trend in power systems. One of the commonly observed essential phenomena in the smart grid including a PV system is partial shading (PS), which implicates the reduction of solar irradiation over the PV module, mainly due to leaves or branches of trees, clouds, and dust. Though most previous researchers were concerned about the steady state power reduction during PS, in this research, we focused on the reduction of transient impact on a grid-connected PV system using the controlled Vehicle to Grid (V2G) operation of the EVs. A small-scale microgrid consisting of a PV farm and a diesel generator is considered, where the PV farm experiences different degrees of shading varying from 30 to 70%. The simulation results show that due to the increase of the PS, the percentage overshoot (% OS) and settling time of rotor speed, active power and load current are increased. To mitigate this issue, we proposed the integration of plugged-in electric vehicles (PEVs), through the controlled V2G operation, which is done here by a PI controller. The proposed system improves the transient effects at both the load and generator sides. It has been found that the PS creates an oscillation in rotor speed, which is settled down by the governor system of the generator at the 20s, while the controlled V2G operation reduced this settling time to 10s. On the load side, the % OS of active power has been reduced from 4.24% to 0.44% and the settling time has been decreased from 28s to 18s by the controlled integration of the PEVs.

Abstract Image

通过受控车辆并网运行,缓解并网光伏电站部分遮阳造成的瞬态效应
城市地区的环境问题和空气污染是向电动汽车(EV)转变的驱动力。电动汽车的储能元件可用于多种有效方式,如增加旋转储备、削峰填谷、负载均衡、电压调节等。因此,利用多种可再生能源建立智能电网,同时将电动汽车并入电网,是电力系统的最新发展趋势。在包括光伏系统在内的智能电网中,常见的基本现象之一是部分遮阳(PS),这主要是由于树叶或树枝、云层和灰尘导致光伏模块上的太阳辐照减少。尽管之前的大多数研究人员关注的是部分遮阳时稳态功率的降低,但在本研究中,我们重点关注的是利用电动汽车的可控车辆对电网(V2G)操作来降低对并网光伏系统的瞬态影响。我们考虑了一个由光伏电站和柴油发电机组成的小型微电网,其中光伏电站经历了 30% 至 70% 不同程度的遮阳。仿真结果表明,由于 PS 的增加,转子速度、有功功率和负载电流的超调百分比(% OS)和稳定时间都会增加。为了缓解这一问题,我们提出了通过受控 V2G 操作集成插电式电动汽车 (PEV),在这里是通过 PI 控制器实现的。提议的系统改善了负载和发电机两侧的瞬态效应。研究发现,PS 会产生转子速度振荡,发电机的调速器系统会在 20 秒内将其稳定下来,而受控 V2G 运行会将这一稳定时间缩短至 10 秒。在负载侧,有功功率的操作系统百分比从 4.24% 降至 0.44%,通过受控的 PEV 集成,稳定时间从 28 秒降至 18 秒。
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