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Optimal operating strategy of high-temperature heat and power storage system coupled with a wind farm in energy market

机译:高温热电储存系统的优化操作策略与能源市场中的风电场

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摘要

Due to the fluctuating nature of solar and wind power plants, they are mostly accompanied by energy storage units to be able to offer dispatchable energy output. One of the main challenges of energy storage units in renewable power plants, however, is determining an efficient and optimal energy trading strategy as the majority of the electricity should be traded in the day-ahead market. As a result, the plants are imposed on huge penalties due to less- or over-supply compared to that bided on the day before. This work presents a novel model to optimize the bidding strategy of a wind farm coupled with a high-temperature heat and power energy storage system (based on different designs) in the energy market. This novel storage technology is highly efficient and offers cogeneration of heat and electricity. The proposed problem determines the best bidding value to maximize the total profit of energy sales from a monthly perspective. The case study includes a real wind farm and Danish energy market. The results reveal the importance of having a precise model of marketing for such plants and the effect of small deviation from the optimal marketing strategy on the net annual revenue of the power plant.
机译:由于太阳能和风力发电厂的性质波动,它们主要伴随能量存储单元,以便能够提供可调度的能量输出。然而,可再生发电厂中的能量存储单元的主要挑战之一是确定高效和最佳的能源交易策略,因为大部分电力应在日前市场交易。因此,与前一天的速度相比,由于较少或过量的供应,植物征收了巨大的惩罚。该工作提出了一种新型模型,以优化与高温热量和功率储存系统(基于不同设计)的风电场的竞标策略。这项新颖的存储技术高效,提供了热电和电力的热电联产。拟议的问题决定了最佳竞标价值,以从每月的角度来最大限度地提高能源销售的总利润。案例研究包括真正的风电场和丹麦能源市场。结果揭示了对这种植物进行精确营销模型的重要性,以及对电厂净年收入的最佳营销策略的缺点效果。

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