Battery Energy Storage (BES) for Mitigation of Short-Term Power Fluctuations in Large-Scale Solar PV Plant Due to Cloud Movement

S. Karmakar, Bhim Singh
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引用次数: 2

Abstract

The installation of large-scale solar PV plants has been increasing rapidly worldwide, and its integration presents the electricity grid with new technical challenges, as a solar panel power plant fluctuates rapidly with the movement of clouds in the sky. One of the possible and widely adopted solutions to mitigate the large fluctuation in power generation is integrating large-size battery energy storage (BES) with the solar PV plant. In this paper, an MW size fundamental-switched voltage source converter (VSC) is used in the power conditioning system (PCS) of battery energy storage (BES) for the integration of a large-scale PV plant with the grid. The BES is used to make PV plant power dispatchable by mitigating the short-term power fluctuations due to clouds' movement. For the solar PV plant power generation smoothening, a simple moving average (SMA) algorithm with a battery state of charge (SOC) control (SMA-SOC algorithm) is used in BES. In the Matlab/Simulink environment, a 10 MW solar PV plant with 5MW/2.5 MWh BES configuration is realized and then implemented in an OPAL-RT real-time simulator to validate the concept.
电池储能(BES)用于缓解大型太阳能光伏电站因云移动引起的短期功率波动
大型太阳能光伏电站的安装在世界范围内迅速增加,其集成给电网带来了新的技术挑战,因为太阳能电池板电站随着天空中云层的移动而快速波动。将大型电池储能系统(BES)与太阳能光伏电站相结合,是一种可能且被广泛采用的缓解发电波动的解决方案。本文研究了一种MW级基开关电压源变换器(VSC),用于大型光伏电站并网的电池储能(BES)功率调节系统(PCS)。BES通过减轻由于云层移动造成的短期电力波动,使光伏电站的电力可调度。针对太阳能光伏电站发电平滑问题,在BES中采用了带电池荷电状态控制的简单移动平均(SMA)算法(SMA-SOC算法)。在Matlab/Simulink环境下,实现了一个5MW/2.5 MWh BES配置的10mw太阳能光伏电站,然后在OPAL-RT实时模拟器中实现,以验证该概念。
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