包含分布式发电和电动汽车的有源配电网多目标动态网络重构方法

2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2022-04-22 DOI:10.1109/CEEPE55110.2022.9783415

Chunyan Ma, Qing Duan, Haoqing Wang, Yi Mu

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引用次数: 0

摘要

大量的分布式发电接入配电网，改变了配电网的潮流分布，分布式发电和电动汽车负荷的随机性也给电网的网络重构带来了新的问题。针对分布式发电和电动汽车接入对配电网的影响，以降低节点电压偏差和有功功率损耗为目标，引入优化概念，采用多目标遗传算法(MOGA)对配电网进行重构。对IEEE33节点算例进行了计算和分析。结果表明，该方法可获得具有较好稳态经济运行能力和安全供电能力的电网结构。

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Multi-objective Dynamic Network Reconstruction Method for Active Distribution Network Including Distributed Generation and Electric Vehicles

A large number of Distributed Generation (DG) access to the distribution network, which changes the power flow distribution of the distribution network, and the randomness of distributed generation and electric vehicle load also brings new problems to the network reconfiguration of the power grid. Aiming at the influence of distributed generation and electric vehicle access on distribution network, this paper aims at reducing node voltage deviation and active power loss, and introduces the optimal concept, using Multi-Objective Genetic Algorithm ( MOGA ) to reconstruct the distribution network. The IEEE33 node example is calculated and analyzed. The results show that this method can obtain a network structure with better steady-state economic operation capability and safe power supply capability.

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2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)

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