Reliability Evaluation of Power Systems Considering Integration of Renewable Energy and Aggregated TCLs

2019 4th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2019-09-01 DOI:10.1109/ICPRE48497.2019.9034852

X. Zhuang, Chengjin Ye, Yi Ding, Lei Wang, Manying Zhang

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Abstract

The integration of renewable energy increases the uncertainty for power system operation. Demand response is considered as a valid option to alleviate this problem. As one of the main resources in demand side, thermostatically controlled loads (TCLs) are widely considered to have significant potential to provide operating reserve. This paper evaluates the power system reliability considering integration of renewable energy and demand response of aggregated TCLs. Firstly, probability distribution estimation is utilized to analyze the power uncertainty of aggregated TCLs and renewable energy. The reserve capacity of aggregated TCLs is estimated by kernel function estimation (KDE). The correlation between wind speed and solar irradiation is modeled by the copula function. Later, the operating states of the power system are sampled by the Monte Carlo simulation and the corresponding reliability indices are calculated. Finally, the proposed method is verified by numerical studies on a modified IEEE RTS 24-bus system.

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考虑可再生能源与聚合tcl集成的电力系统可靠性评估

可再生能源的并网增加了电力系统运行的不确定性。需求响应被认为是缓解这一问题的有效选择。作为需求侧的主要资源之一，恒温控制负荷(tcl)被广泛认为具有提供运行储备的巨大潜力。本文对考虑可再生能源与集群tcl需求响应的电力系统可靠性进行了评估。首先，利用概率分布估计方法对tcl和可再生能源的聚合功率不确定性进行分析。通过核函数估计(KDE)估计聚合tcl的备用容量。风速与太阳辐照度的关系用copula函数来模拟。然后，通过蒙特卡罗仿真对电力系统的运行状态进行采样，并计算相应的可靠性指标。最后，在一个改进的IEEE RTS 24总线系统上进行了数值研究，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 4th International Conference on Power and Renewable Energy (ICPRE)

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