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首页> 外文会议>IET International Conference on Advances in Power System Control, Operation and Management >A New Zone Partitioning Method of Electricity Price under Market Uncertainty
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A New Zone Partitioning Method of Electricity Price under Market Uncertainty

机译：市场不确定性下电价的新区分区方法

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摘要

The key for establishing simple and efficient zonal pricing scheme is to accurately partition transmission network in the presence of congestion. Unfortunately, in actual power market operation, operators usually establish price zones based on their experiences without mathematical analysis. In order to achieve accurate price zone partition, this paper proposes a Monte Carlo simulation based price zone partitioning method under market uncertainty. In this method, the lines that are most likely to get congested are determined first through a probability analysis while taking into account the market uncertainties in the generation bids, loads and bilateral transactions. Secondly the sensitivities of nodal power injections to the power flows on all congested lines are extracted as features of the nodal price, forming the cluster samples. Then a fuzzy c-means clustering algorithm for price zone partition is proposed by which the accurate and rational price zone partitioning is realized. Finally, taking IEEE 118-node system for example, the effectiveness and feasibility of this proposed method are verified.
机译：建立简单高效的区域定价方案的关键是准确地分配传输网络的拥塞。不幸的是，在实际电力市场运营中，运营商通常根据他们的经验建立价格区，没有数学分析。为了实现准确的价格区分区，本文提出了一种基于Monte Carlo仿真在市场不确定性下的价格区分区方法。在这种方法中，最有可能获得拥塞的线首先通过概率分析来确定，同时考虑到生成出价，负荷和双边交易中的市场不确定性。其次，对所有拥挤线上的功率流量的节点电力流出的敏感性被提取为节点价格的特征，形成集群样本。然后提出了一种用于价格区分区的模糊C-Means聚类算法，通过该分区的准确性和合理的价格区分区。最后，取IEEE 118节点系统，例如，验证了这种方法的有效性和可行性。

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