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Optimal Scheduling Strategy of Microgrid Participating in Upper Power Grid Based on Flexibility of Distributed Power

机译：基于分布式电力柔性的微电网参与上电网的优化调度策略

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摘要

The optimal schedule strategy of microgrid is to solve the problem of stable operation of wind power and photovoltaics, and it should also have the ability to call distributed power sources, DR loads and other flexible resources to provide auxiliary services to the grid and participate in real-time scheduling of the upper-level grid. This paper proposes a microgrid resource optimization schedule strategy based on the flexibility of distributed power generation. In the day-ahead planning stage, the day-ahead optimal scheduling model is established by combining the operating costs of the microgrid and the demand response capacity benefits; In simulation stage simulating and predicting power fluctuations and the real-time demand of the upper grid, then through the neural network obtaining the intra-day schedule model to prepare for intra-day schedule; In the intra-day stage, the tie-line power is input into the neural network model through the demand response signal of the upper-level power grid to obtain the power of each distributed. The strategy proposed in this paper can not only guarantee the economic operation of the microgrid, but also meet the real-time scheduling requirements of the upper-level grid. Finally, the results of the calculation examples verify the economy and effectiveness of the strategy.
机译：微电网的最佳时间表策略是解决风力和光伏运行稳定运行的问题，它也应该有能力呼叫分布式电源，载荷和其他灵活资源，为网格提供辅助服务并参与真实 - 上级网格的时间调度。本文提出了一种基于分布式发电灵活性的微电网资源优化调度策略。在前方规划阶段，通过将微电网的运营成本和需求响应能力的运营成本结合起来，建立了最佳的最佳调度模型;在仿真阶段模拟和预测电力波动和上电网的实时需求，然后通过神经网络获得日期时间表模型以准备日期时间表;在日内阶段，通过上级电网的需求响应信号输入连接线功率，以获得每个分布的功率。本文提出的策略不仅可以保证微电网的经济运行，还可以满足上层电网的实时调度要求。最后，计算实施例的结果验证了策略的经济性和有效性。

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