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Study on renewable energy integration with electric thermal storage in demand-side — Part II: Sequential production simulation based sensitivity analysis

机译:需求侧可再生能源与电蓄热集成的研究-第二部分:基于顺序生产模拟的敏感性分析

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摘要

Aiming to evaluate the effect of electric thermal storage (ETS) in large-scale renewable power integration, a new method is proposed based on enhanced sequential production simulation (ESPS). In the new method, wind and photovoltaic (PV) power integration capacities are simultaneously optimized in consideration of several boundary conditions of Shaanxi power system such as power supply, network constrains and future load. Electric thermal storage is utilized as demand response resource to absorb the curtailed renewable power and improve its integration capacity. The sensitivity analysis is undertaken to demonstrate whether electric thermal storage is suitable for the chosen regional power system. Through such analysis, a reasonable renewable energy development scale and mode could be given for decision support of power system planning.
机译:为了评估蓄电技术在大规模可再生能源发电中的作用,提出了一种基于增强型序贯生产仿真技术的新方法。在新方法中,同时考虑到陕西电力系统的几个边界条件(例如电源,网络约束和未来负荷),同时优化风能和光伏(PV)功率集成能力。蓄热被用作需求响应资源,以吸收减少的可再生能源并提高其集成能力。进行了敏感性分析,以证明蓄电是否适合所选的区域电力系统。通过这种分析,可以给出合理的可再生能源发展规模和模式,为电力系统规划的决策支持。

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