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Optimal Investment Planning of Distribution Network Considering Customers’ Reliability Requirements

机译:考虑客户可靠性要求的配电网最佳投资计划

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摘要

At present, with the comprehensive promotion of distribution network construction, the demand of reliability for electricity is getting higher and higher. Therefore, the investment planning model for distribution network, which focuses on the overall load growth within the region, is not applicable. In this paper, a distribution network planning model that considering different customers’ reliability requirements is proposed. Firstly, the fuzzy binary contrast strategy is adopted to quantify the reliability requirements of different customers in the region. The neural network is used to mine the correlation model between reliability indices of the different power supply requirements and corresponding reconstruction measures. Then, the optimal model of distribution network planning with the target of reliability indices and the constraint of investment cost is established. As a result, the proposed model fully meets the reliability requirements of customers and forms the optimal investment planning scheme of the distribution network. Finally, the results of the IEEE 33 test system verify the rationality and feasibility of the proposed model.
机译:当前,随着配电网建设的全面推进,对电力可靠性的要求越来越高。因此,以区域内总体负荷增长为重点的配电网络投资计划模型不适用。本文提出了一种考虑不同客户的可靠性要求的配电网规划模型。首先,采用模糊二元对比策略对区域内不同客户的可靠性需求进行量化。神经网络用于挖掘不同电源需求的可靠性指标与相应的重建措施之间的相关模型。然后,建立了以可靠性指标为目标,并以投资成本为约束的配电网规划的最优模型。结果,所提出的模型完全满足了客户的可靠性要求,并形成了分销网络的最优投资计划方案。最后,IEEE 33测试系统的结果证明了该模型的合理性和可行性。

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