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A framework for the assessment of electric heating load flexibility contribution to mitigate severe wind power ramp effects

机译：评估电加热负荷灵活性贡献的框架，以减轻严重的风力发电坡道影响

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摘要

A great share of wind power generation in a power system is likely to test the system flexibility with extreme power ramp events. Therefore, this paper proposes a framework that allows the assessment of electricity demand flexibility on these events. Two electric heating methods are of particular interest, since heating is an attractive source of flexibility in a cold climate. The proposed framework consists of generating wind generation scenarios, identifying severe ramps, and solving a system unit commitment (UC) problem, with and without demand response (DR), when these ramps occur. These stages are integrated into a Monte Carlo simulation technique, which allows the capturing of the electric heating load contribution to mitigate ramp effects in different system conditions. The contribution is investigated in case studies and evaluated with several measures. (C) 2016 Elsevier B.V. All rights reserved.
机译：电力系统中风力发电的很大一部分可能会通过极端的功率斜坡事件来测试系统的灵活性。因此，本文提出了一个框架，可以评估这些事件的用电需求灵活性。两种电加热方法特别受关注，因为在寒冷的气候中加热是柔韧性的诱人来源。拟议的框架包括生成风力发电情景，识别严重的坡道以及解决出现坡道时有无需求响应（DR）的系统单位承诺（UC）问题。这些阶段已集成到Monte Carlo仿真技术中，该技术可捕获电加热负载贡献，以减轻不同系统条件下的斜坡效应。在案例研究中对贡献进行了调查，并通过多种措施对其进行了评估。 （C）2016 Elsevier B.V.保留所有权利。

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