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The key technology for optimal scheduling and control of wind-photovoltaic-storage multi-energy complementary system

机译:风光 - 光伏存储多能互补系统最优调度与控制的关键技术

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Renewable energy power output is highly uncertain, and large-scale integration of renewable energy has a significant impact on the scheduling and control of the power system. In particular, with the increase of renewable energy integration, the difficulty of scheduling and control has increased significantly. There is one of the urgent problems to be solved about how to achieve optimal scheduling and control of high penetration renewable energy grid. On the one hand, by studying the complementarity between renewable energy sources, the volatility of renewable energy output can be smoothed, and on the other hand, large-scale energy storage applications can ensure that renewable energy sources follow the plan curve in real time. Therefore, this paper develops wind-photovoltaic combined power prediction based on complementary characteristics and wind-photovoltaic-storage multi-energy complementary system optimal scheduling and control related technologies. Starting from smoothing the output of renewable energy and improving the confidence of renewable energy, improve the scheduling and control capabilities.
机译:可再生能源输出高度不确定,可再生能源的大规模集成对电力系统的调度和控制具有显着影响。特别是,随着可再生能源集成的增加,调度和控制的难度显着增加。关于如何实现高渗透可再生能源电网的最佳调度和控制有一个紧急问题。一方面,通过研究可再生能源之间的互补性,可再生能源输出的波动性可以平滑,另一方面,大规模的能量存储应用可以确保可再生能源实时遵循平面曲线。因此,本文基于互补特性和风光 - 光伏储存多能量互补系统最优调度和控制相关技术,开发风光组合功率预测。从平滑可再生能源的输出并提高可再生能源的置信度,提高调度和控制能力。

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