基于机会约束规划的增量配电网接入规划

白忠彬

分布式能源 ›› 2022, Vol. 7 ›› Issue (3) : 37-43.

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分布式能源 ›› 2022, Vol. 7 ›› Issue (3) : 37-43. DOI: 10.16513/j.2096-2185.DE.2207305
学术研究

基于机会约束规划的增量配电网接入规划

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Incremental Distribution Network Access Planning Based on Opportunity Constrained Programming

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本文亮点

增量配电网接入公用电网的选址影响其投资经济性与主网的安全稳定性,针对这一问题,首先阐述了增量配电网内分布式电源出力与负荷的随机性,兼顾了增量配电网接入的经济性、可靠性与稳定性,分别从增量配电网与主体电网的角度搭建了增量配电网的选址规划模型与评价模型。其次,采用了机会约束规划来处理源、荷的不确定性,在此基础上,将机会约束规划采用分解的方法进行线性化。最后,对改进的IEEE 33节点系统进行仿真实验,分析了增量配电网的选址规划结果与存量配电网的评价。结果表明:增量配电网的投资用户更倾向选择较近的联络线接入,节约其线路架设成本,提高其供电可靠性;主体电网则更期望从配电网的末端提高电压质量。

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The location of incremental distribution network connected to public power grid affects its investment economy and the security and stability of main network. To solve this problem, firstly, this paper expounds the randomness of distributed generation output and load in incremental distribution network, takes into account the economy, reliability and stability of incremental distribution network access, and establishes the location planning model and evaluation model of incremental distribution network from the perspective of incremental distribution network and main power grid. Secondly, the opportunity constrained programming is used to deal with the uncertainty of source and load. On this basis, the opportunity constrained programming is linearized by decomposition method. Finally, the simulation experiment of the improved IEEE 33 node system is carried out, and the location planning results of incremental distribution network and the evaluation of stock distribution network are analyzed. The results show that the investment users of incremental distribution network prefer to choose the closer tie line to access, so as to save the line erection cost and improve the power supply reliability, while the main power grid is more expected to improve the voltage quality from the end of the distribution network.

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白忠彬. 基于机会约束规划的增量配电网接入规划[J]. 分布式能源, 2022, 7(3): 37-43 https://doi.org/10.16513/j.2096-2185.DE.2207305.
Zhongbin BAI. Incremental Distribution Network Access Planning Based on Opportunity Constrained Programming[J]. Distributed Energy, 2022, 7(3): 37-43 https://doi.org/10.16513/j.2096-2185.DE.2207305.
中图分类号: TK01; TM72   

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