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Design of an optimized battery energy storage enabled Solar PV Pump for rural irrigation

机译:优化的电池蓄能功能的农村灌溉用太阳能光伏泵的设计

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Performance of Solar Photovoltaic (PV) system suffers from intermittency due to variable weather conditions and thus it faces challenges to penetrate into the electricity network. To mitigate this difficulty and power fluctuations at the load end, a possible solution could be the integration of battery energy storage with PV system. The Storage system can potentially improve security, quality, reliability and availability of electricity supply from Solar PV power system. The Vanadium Redox Flow Battery (VRFB) [1] is promising energy storage for reliability, scalability and deep discharge capacity. This paper presents an optimized power management scheme for solar PV power driven DC pump with energy storage for rural irrigation. The integrated PV system will supply power to the required demand of the 2 HP DC pump and excess power will charge the battery via a suitable DC-DC boost Converter [2]. During PV Power generation deficiency, the battery will be in discharging mode to supply the required power to drive the pump depending on its State of Charge (SOC) [3] and thus smoothens the transient power during that period. The PV output power is enhanced by implementing Perturb and observe (P&O) MPPT algorithm [4-5] under a set of practical insolation data. A 6kWh, 39 cells VRB storage [6] system has been modeled in MATLAB/ Simulink environment and the charge-discharge algorithm is decided based on real time VRFB State of Charge (SOC) prediction and Solar PV generation. A comparative analysis has also been done on Pump performance parameters with and without VRFB storage.
机译:由于天气条件的变化,太阳能光伏(PV)系统的性能会受到干扰,因此面临着渗透到电网中的挑战。为了减轻这种困难和降低负载端的功率波动,可能的解决方案是将电池能量存储与PV系统集成。该存储系统可以潜在地提高来自太阳能光伏发电系统的电力供应的安全性,质量,可靠性和可用性。钒氧化还原液流电池(VRFB)[1]有望实现储能,以提高可靠性,可扩展性和深放电容量。本文提出了一种用于农村灌溉的带有储能的太阳能光伏发电直流泵的优化电源管理方案。集成的光伏系统将为2 HP DC泵提供所需的电力,多余的电力将通过合适的DC-DC升压转换器为电池充电[2]。在光伏发电不足的情况下,电池将处于放电模式,以根据其充电状态(SOC)[3]提供所需的功率来驱动泵,从而在此期间平滑瞬态功率。通过在一组实际日照数据下实施扰动和观测(P&O)MPPT算法[4-5],可以提高PV输出功率。在MATLAB / Simulink环境中对一个6kWh,39个电池的VRB存储系统进行了建模[6],并基于实时VRFB充电状态(SOC)预测和太阳能光伏发电确定了充放电算法。在有和没有VRFB存储的情况下,也对泵的性能参数进行了比较分析。

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