Modeling of wind generation fluctuations in a dispatch model

B. Chakrabarti
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引用次数: 3

Abstract

The speed of wind at the different wind generator sites fluctuates due to weather variations over time. As a result, the wind generations may fluctuate over a wide range. The fluctuations and uncertainty are presently covered, in the New Zealand electricity market (NZEM), by the reserves originally offered for the protection of larger risk units in the system and frequency regulating reserve with no cost to the wind generators. In fact, smaller units benefit from the magnitude of reserves determined by the largest risk units. The frequency of outage of wind generators and variability of wind generation outputs is quite high compared to other smaller units and these frequently need a considerable amount of reserves to cover the generation fluctuations. The wind generators, therefore, "free ride" on other reserve providers adding cost to the system but not necessarily sharing them in an equitable manner. This issue has not been addressed so far. We develop a dispatch optimization model that recognizes the additional risk imposed by the wind generators. The model is based on DC-OPF, driven by generator risk contingencies, security margins at the load buses to cover the large variation of load, and security margins at the wind generator buses to account for the uncertainty of wind generations. The margins are maintained using reserves. The margin required at each wind generator bus is an input to the model and can be estimated statistically from its past performance. The main thrust of this paper is to examine the effect of security margin constraints at the wind generator buses and also at the load buses on the nodal spot prices. The paper demonstrates that the generation, and demand prices at a bus are different in the presence of binding security margin constraints. Generation prices at the wind generator buses get reduced in the presence of binding security margin constraints at these buses
调度模型中风力发电波动的建模
不同风力发电机地点的风速随着时间的变化而波动。因此,风力发电可能会在一个很大的范围内波动。目前,在新西兰电力市场上,波动和不确定性由最初为保护系统中较大风险单位而提供的准备金和频率调节准备金来弥补,而风力发电机没有任何成本。事实上,较小的单位受益于由最大风险单位决定的准备金规模。与其他小型机组相比,风力发电机的停机频率和风力发电输出的变变性相当高,这些机组往往需要相当数量的储备来弥补发电波动。因此,风力发电机“搭上”了其他储备供应商的便车,增加了系统的成本,但不一定以公平的方式分担成本。这个问题到目前为止还没有得到解决。我们开发了一个调度优化模型,该模型可以识别风力发电机带来的额外风险。该模型基于DC-OPF,由发电机风险事件驱动,负荷母线安全裕度覆盖负荷的大变化,风力发电机母线安全裕度考虑风力发电的不确定性。保证金由准备金维持。每个风力发电机母线所需的余量是模型的输入,可以根据其过去的性能进行统计估计。本文的主要目的是研究风力发电母线和负荷母线的安全裕度约束对节点现货价格的影响。本文论证了在有约束安全边际约束的情况下,公交车上的发电价格和需求价格是不同的。在这些公共汽车上存在有约束力的安全边际约束时,风力发电机公共汽车的发电价格会降低
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