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Short-Term Impacts of DR Programs on Reliability of Wind Integrated Power Systems Considering Demand-Side Uncertainties

机译:考虑需求侧不确定性的灾难恢复计划对风电集成电力系统可靠性的短期影响

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Meeting the reliability requirements in wind integrated power systems is a challenging problem due to the volatility of wind power generation. Wide implementation of demand response (DR) programs is an effective solution for this problem. This paper studies the impacts of DR programs on short-term reliability assessment of wind integrated power systems. A new algorithm including the effects of time and components initial states is presented for short-term reliability evaluation. This algorithm involves a multi-segment optimal power flow (OPF) approach to model the lead-time of DR and reserve resources. Taking into account the uncertainties associated with DR programs, a new model for these programs is also proposed. In addition, a reliability modeling is developed for wind energy conversion systems to be employed in short-term studies. The results show that DR programs can eliminate the negative impacts of wind energy volatility on power system reliability. It is also shown that the actual operating conditions, such as the uncertainties in demand-side participation and elasticity estimation, and the lead-time of remedial resources, may significantly affect the efficiency of DR programs. Therefore, it seems that these issues should also be included in the reliability-based planning of DR resources.
机译:由于风力发电的波动性,满足风力集成电力系统中的可靠性要求是一个具有挑战性的问题。需求响应(DR)程序的广泛实施是解决此问题的有效方法。本文研究了DR计划对风电集成系统的短期可靠性评估的影响。提出了一种新的算法,包括时间和组件初始状态的影响,用于短期可靠性评估。该算法涉及一种多段最佳功率流(OPF)方法,以对DR的提前期和储备资源进行建模。考虑到与DR程序相关的不确定性,还提出了这些程序的新模型。此外,针对风能转换系统开发了可靠性模型,以用于短期研究。结果表明,DR程序可以消除风能波动对电力系统可靠性的负面影响。还表明,实际操作条件(例如需求方参与和弹性估计的不确定性以及补救资源的交付时间)可能会显着影响灾难恢复计划的效率。因此,似乎这些问题也应包括在基于可靠性的灾难恢复资源计划中。

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