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A novel optimal energy management strategy for offshore wind/marine current/battery/ultracapacitor hybrid renewable energy system

机译:海上风/海洋电流/电池/超容量杂交能再生能源系统的新颖最优能量管理策略

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摘要

Climate change and high energy demand have significantly increased the need for renewable energy sources (RES). Marine and ocean energy sources draw attention through their high energy potential. Offshore wind and marine current energy is an attractive RES with great potential. The wind and current energy in the marine produces an intermittent and unstable power by nature. Energy storage systems are the most effective solution to minimize power fluctuations in the system and to ensure stable energy demand. This paper presents a novel optimal energy management strategy (NOEMS) for optimal power flow control of the offshore wind/marine current/battery/ultracapacitor hybrid power generation system and for the most efficient harvesting of hybrid renewable energy system (HRES). The proposed NOEMS algorithm calculates as real time the amount of power generated by the HRES and demanded by the load. In this study, nine different dynamic operation modes were considered. Experimental results have shown that the battery and ultracapacitor support to the HRES. In this study, the dynamic behavior of the NOEMS algorithm was investigated by performing a sudden load test from 18 W to 30 W. The NOEMS algorithm shows that the system can minimize power loss, voltage fluctuation, control the charge/ discharge status of the battery and ultracapacitor. The proposed algorithm continuously shifts the required power over the hybrid energy storage system to provide the load demand continuously.
机译:气候变化和高能源需求显着增加了可再生能源(RES)的需求。海洋和海洋能源通过其高能量潜力引起了注意力。海上风和海洋当前能量是一个有吸引力的res,具有很大的潜力。海洋中的风和当前能量通过自然产生间歇性和不稳定的力量。能量存储系统是最有效的解决方案,以最大限度地减少系统的功率波动,并确保稳定的能源需求。本文提出了一种新颖的最佳能源管理策略(Noems),用于最佳的海上风/海洋电流/电池/超容器混合发电系统的最佳功率流量控制,以及用于混合再生能源系统(HRES)的最有效采集。所提出的NOEMS算法根据HRES的实时计算,并由负载要求的电力量。在这项研究中,考虑了九种不同的动态操作模式。实验结果表明,电池和超级电池支撑对HRES。在这项研究中,通过从18 W至30W进行突然的负载测试来研究Neems算法的动态行为。Noems算法表明,系统可以最小化功率损耗,电压波动,控制电池的充电/放电状态和超级海拔。所提出的算法连续地将所需电力换档,以连续提供负载需求。

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