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Exploitation of uncertain weather forecast data in power network management * * This work was supported by CREST, JST.

机译:在电网管理中利用不确定的天气预报数据 * * 此工作受CREST,JST支持。

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Abstract: In power network management, the heat capacity of transmission lines originally arises from the line temperature constraint. The line temperatures are affected not only by the Joule heat but also by the thermal environment. This motivates us to exploit weather forecast data to improve the power management performance. The goal of this paper is to propose a stochastic model predictive control scheme for this purpose. In particular, we compensate for the probabilistic uncertainty by means of chance constraint optimization. The effectiveness of the proposed control scheme is examined through numerical simulation of power grids under the area dependent uncertainty and transmission line failure.
机译:摘要:在电网管理中,输电线路的热容量最初是由线路温度限制引起的。线路温度不仅受焦耳热的影响,还受热环境的影响。这促使我们利用天气预报数据来改善电源管理性能。本文的目的是为此目的提出一种随机模型预测控制方案。特别是,我们通过机会约束优化来补偿概率不确定性。在区域不确定性和输电线路故障的情况下,通过对电网进行数值模拟,检验了所提出控制方案的有效性。

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