含高可再生能源直流配电网生产仿真的要求

Man Li, Yi Zhang, Yan Li, Xiaoxue Li, Bo Fan, Lifeng Li, Yanmei Li, Yuan Hu
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引用次数: 0

摘要

直流配电网接入的可再生能源发电量、换流站容量、可再生能源装机容量和可再生能源运行方式是影响可再生能源最大消纳的主要因素。不合理的换流站容量和可再生能源装机容量规划配置,会造成可再生能源装机容量过大,导致弃风弃光,或者装机容量过小,使换流站无法充分利用。可再生能源发电运行模式策略直接影响到直流配电网的输电能力和储能电站的调节能力,进而影响到可再生能源发电的消纳。本文研究了风电和光伏发电的相关时间序列建模方法,提出了考虑多类型可再生能源与直流配电网混合的发电运行模式优化的技术要求,以实现可再生能源的最大消耗,保证可再生能源的电力“可控、消纳”。最终确保可再生能源和直流配电网的稳定运行和安全。论文研究结果将为未来当地高比例可再生能源消纳规划提供支持,并将有效指导可再生能源和直流配电网的规划设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Requirement of Production Simulation of DC Distribution Network Containing High Renewable Energy
Renewable energy power generation connected to the DC distribution network, converter station capacity, renewable energy installed capacity and renewable energy operation mode are the primary factors that affect the maximum consumption of renewable energy. Unreasonable converter station capacity and renewable energy installed capacity planning and configuration will result in excessive renewable energy installed capacity, resulting in abandonment of wind and light, or too small installed capacity to make the converter station with full using. The renewable energy power generation operation mode strategy directly affects the DC distribution network transmission capacity and the regulation capacity of the energy storage station, which in turn affects the consumption of renewable energy power generation. The paper studies relevant time series modeling methods of wind and PV power generation, and proposes the technical requirements for optimizing the power generation operation mode considering the hybrid of multiple types of renewable energy and the DC distribution network, so as to achieve maximum consumption renewable energy, and to ensure that the power of renewable energy can be “controlled and consumed’', and ultimately ensure the stable operation and safe of renewable energy and the DC distribution network. The paper results will provide support for the future planning of the local consumption of a high proportion of renewable energy, and will effectively guide the planning and design of renewable energy and DC distribution networks.
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