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Optimal power dispatch of a grid-interactive micro-hydrokinetic-pumped hydro storage system

机译:电网互动式微动抽水蓄能系统的最优功率分配

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Developing nations around the world are facing energy deficit crisis due to an increasing energy demand and slow exploitation of renewable energy (RE) technologies. Among different RE technologies, hydrokinetic is a promising technology that has proved to generate electricity cheaper than solar and wind technologies. Among different energy storage devices, pumped hydro storage (PHS) has proved to be the most cost-effective option. Due to rising electricity price, domestic farm-houses situated in close proximity to the flowing water resource can make use of a hydrokinetic-PHS system to reduce the electricity cost and to sell excess energy into the grid through feed-in tariff (FIT) scheme. This paper introduces an optimal energy management model for power dispatching within a grid-interactive micro-hydrokinetic pumped hydro storage (MHK-PHS) system. The aim is to minimize the grid consumption costs and to maximize the energy sales revenue by considering the weekdays and weekend time-of-use (TOU) tariffs. The simulation results have shown the effectiveness of the model since it allows most of the load power demand to be met by the RE systems during expensive peak-period as a means of minimizing the grid consumption costs. Most of the energy sales took place during standard and expensive peak periods as a means of maximizing the energy sales revenue. Additionally, the simulation results have shown that an energy saving potential of 100.1% and 104.23% can be achieved during high demand and low demand seasons, respectively.
机译:由于能源需求增加和对可再生能源(RE)技术的缓慢利用,世界各地的发展中国家都面临着能源短缺危机。在不同的可再生能源技术中,水动力技术是一种很有前途的技术,已被证明比太阳能和风能技术便宜。在不同的储能设备中,抽水蓄能(PHS)已被证明是最具成本效益的选择。由于电价上涨,紧邻流动水源的家庭农舍可以利用水动力-PHS系统来降低电力成本,并通过上网电价(FIT)计划将多余的能源出售给电网。本文介绍了一种在电网互动式微水动力抽水蓄能(MHK-PHS)系统内进行电力分配的最佳能源管理模型。目的是通过考虑工作日和周末的使用时间(TOU)费率,将电网消耗成本降至最低,并最大限度地提高能源销售收入。仿真结果表明了该模型的有效性,因为该模型允许RE系统在昂贵的峰值时段内满足大多数负载功率需求,以此来最大程度地降低电网消耗成本。大部分能源销售发生在标准和昂贵的高峰期,以此来最大化能源销售收入。此外,仿真结果表明,在高需求季节和低需求季节,节能潜力分别可达到100.1%和104.23%。

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