Optimising tidal range power plant operation
Optimising tidal range power plant operation
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DOI：
10.1016/j.apenergy.2017.12.052
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发表时间：
2018-02
期刊：
影响因子：
11.2
通讯作者：
A. Angeloudis;S. Kramer;A. Avdis;M. Piggott
中科院分区：
文献类型：
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作者：
A. Angeloudis;S. Kramer;A. Avdis;M. Piggott
潮差发电厂是利用海洋环境大规模发电的一种有吸引力的办法。尽管潮汐和可利用的能源是可预测的，但它们也是随时间变化的。这种可变性对发电厂的最佳瞬态控制提出了挑战。我们认为模拟方法，其中包括潮汐发电厂的主要操作模式，沿着与算法来调节这些时间。本文提出了一个框架，简化的电厂运行模型，再加上基于梯度的优化技术，以确定多个潮汐周期的最优控制策略。优化结果为包括潮汐发电厂在内的沿海海洋模拟提供了信息，以衡量一旦考虑到其水动力影响，自适应操作的好处是否得到了保护。两个潜在的潮汐泻湖项目在布里斯托海峡和塞文河口的联合运作作为一个例子，以证明能源最大化优化方法的潜在效益。对于所考虑的案例研究，包括泵送和自适应操作，提供了20-40%的能量输出的整体增加相比，传统的双向均匀操作。研究结果还表明，与较大规模的设计相比，较小的方案可以从运营优化中获得更多。
Tidal range power plants represent an attractive approach for the large-scale generation of electricity from the marine environment. Even though the tides and by extension the available energy resource are predictable, they are also variable in time. This variability poses a challenge regarding the optimal transient control of power plants. We consider simulation methods which include the main modes of operation of tidal power plants, along with algorithms to regulate the timing of these. This paper proposes a framework where simplified power plant operation models are coupled with gradient-based optimisation techniques to determine the optimal control strategy over multiple tidal cycles. The optimisation results inform coastal ocean simulations that include tidal power plants to gauge whether the benefits of an adaptive operation are preserved once their hydrodynamic impacts are also taken into consideration. The combined operation of two prospective tidal lagoon projects within the Bristol Channel and the Severn Estuary is used as an example to demonstrate the potential benefits of an energy maximisation optimisation approach. For the case studies considered, the inclusion of pumping and an adaptive operation is shown to deliver an overall increase in energy output of 20–40% compared to a conventional two-way uniform operation. The findings also demonstrate that smaller schemes stand to gain more from operational optimisation compared to designs of a larger scale.