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Optimized energy management strategy for grid connected double storage (pumped storage-battery) system powered by renewable energy resources

机译:由可再生能源驱动的并网双储(抽水式蓄电池)系统的优化能源管理策略

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摘要

This paper presents a grid-connected double storage system (DSS) consisting of pumped-storage hy-dropower (PSH) and battery. The system is supplied by photovoltaics and wind turbines. In the proposed hybrid system, batteries absorb excess renewable energy that cannot be stored in PSH and they cover loads that cannot be supplied from the water turbine. To improve the system performance, a novel energy management strategy for the DSS is proposed. The strategy is based on an optimized factor that governs the charging process of the DSS. The problem of the optimal system design is solved by a non-dominated sorting genetic algorithm (NSGA-II). The multi-objective function considers simultaneously the minimal investment cost and minimal CO_2 emissions. A comparative study of photovoltaic/wind/ pumped-storage hydropower and photovoltaic/wind/double storage system is performed to show the effectiveness of the proposed strategy in terms of system economic and environmental performance. The considered location of the PSH station is on Attaqa Mountain at Suez (Egypt). The results indicate the effectiveness of the proposed energy management strategy for the storage system from economic and environmental perspectives. Coupling the battery with the PSH reduces the electricity cost by 22.2% and results in minimal energy exchange with the national grid (5% of the annual demand). A sensitivity analysis shows the largest variation of the electricity cost with changing the capital cost of the solar and wind generators. Also, it is observed that when the load increases, the optimal size of the system components increases, but it isn't proportional with the demand increase as could be expected.
机译:本文提出了一种由抽水蓄能水电(PSH)和电池组成的并网双存储系统(DSS)。该系统由光伏和风力涡轮机提供。在提出的混合动力系统中,电池吸收了多余的可再生能量,这些能量无法存储在PSH中,并且可以覆盖水轮机无法提供的负荷。为了提高系统性能,提出了一种针对DSS的新型能源管理策略。该策略基于控制DSS充电过程的优化因素。最优系统设计的问题是通过非主导排序遗传算法(NSGA-II)解决的。多目标函数同时考虑了最小的投资成本和最小的CO_2排放量。对光伏/风能/抽水蓄能水电和光伏/风能/双蓄能系统进行了比较研究,以显示该策略在系统经济和环境绩效方面的有效性。 PSH站的考虑位置在苏伊士(埃及)的阿塔卡山上。结果从经济和环境角度表明了所提出的针对存储系统的能源管理策略的有效性。将电池与PSH耦合可将电力成本降低22.2%,并减少与国家电网的能源交换(占年需求的5%)。敏感性分析显示,随着太阳能和风力发电机的资本成本的变化,电力成本的最大变化。此外,可以观察到,当负载增加时,系统组件的最佳尺寸会增加,但与预期的需求增加并不成比例。

著录项

  • 来源
    《Energy》 |2020年第1期|116615.1-116615.16|共16页
  • 作者单位

    Energy Resources Eng. Department Egypt-Japan University of Science and Technology Alexandria Egypt Elect. Eng. Department Faculty of Eng. Assiut University Assiut Egypt;

    School of Business Society and Engineering MDH University Vaesteris Sweden Department of Eng. Management Faculty of Management AGH University of Science and Technology Cracow Poland;

    Energy Resources Eng. Department Egypt-Japan University of Science and Technology Alexandria Egypt Mechanical Engineering Department Faculty of Engineering Assiut University Assiut Egypt;

    Elect. Eng. Department Faculty of Eng. Assiut University Assiut Egypt Department of Mechatronics and Robotics Engineering Egypt-Japan University of Science and Technology Egypt;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pumped-storage hydropower; Battery; Double storage system; Renewable energy sources; NSGA-II; Hybrid energy system;

    机译:抽水蓄能电站;电池;双存储系统;可再生能源;NSGA-II;混合能源系统;

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