陈奇芳, 李若凡, 夏明超, 吴迪, 邵尹池. 计及多维性能评估的新型配电网光伏选址定容方法[J]. 中国电力. DOI: 10.11930/j.issn.1004-9649.202311027
引用本文: 陈奇芳, 李若凡, 夏明超, 吴迪, 邵尹池. 计及多维性能评估的新型配电网光伏选址定容方法[J]. 中国电力. DOI: 10.11930/j.issn.1004-9649.202311027
CHEN Qifang, LI Ruofan, XIA Mingchao, WU Di, SHAO Yinchi. Photovoltaic Site Selection and Capacity Determination Method for New Distribution Network Considering Multidimensional Performance Evaluation[J]. Electric Power. DOI: 10.11930/j.issn.1004-9649.202311027
Citation: CHEN Qifang, LI Ruofan, XIA Mingchao, WU Di, SHAO Yinchi. Photovoltaic Site Selection and Capacity Determination Method for New Distribution Network Considering Multidimensional Performance Evaluation[J]. Electric Power. DOI: 10.11930/j.issn.1004-9649.202311027

计及多维性能评估的新型配电网光伏选址定容方法

Photovoltaic Site Selection and Capacity Determination Method for New Distribution Network Considering Multidimensional Performance Evaluation

  • 摘要: 现有选址定容方法只考虑光伏接入后的电压和网损指标,而对光伏接入后的消纳效果考虑不足,难以满足新型配电网的发展需求。本文提出了一种计及多维性能评估的新型配电网光伏选址定容方法,首先,形成了涵盖电能质量、供电能力、光伏接入效果的多维度评价体系,构建了基于主客观组合赋权-模糊评价的接入方案综合评价方法。其次,将综合评价与优化选址定容过程有机结合,形成了评价-选取一体化的光伏选址定容优化模型,采用非支配排序遗传算法(non-dominated sorting genetic algorithm-II,NSGA-II)实现了全年光伏差异化出力条件下的最优接入位置、容量获取。最后,算例验证表明所提方法不仅显著降低了节点电压偏差和线路传输压力,而且在更全面技术性能评价范围内具有更优的光伏接入特性和多指标综合性能,提升了光伏配置合理性和资源效率,可有效支撑新型配电网的发展需求。

     

    Abstract: The existing site selection and capacity determination methods only consider the voltage and network loss indicators after photovoltaic (PV) is connected, but insufficient consideration is given to the consumption effect after PV is connected, making it difficult to meet the development needs of new distribution networks. This paper proposes a new distribution network PV locating and sizing method that takes into account multi-dimensional performance evaluation. First, a multi-dimensional evaluation system covering power quality, power supply capacity, and photovoltaic access effects is formed, and a combined subjective and objective assessment system is constructed. Comprehensive evaluation method of access solutions based on weight-fuzzy evaluation. Secondly, the comprehensive evaluation was organically combined with the optimized locating and sizing process to form an evaluation-selection integrated PV site selection and capacity optimization model, using the non-dominated sorting genetic algorithm-ii (NSGA-II) achieves the optimal access location and capacity acquisition under the condition of differentiated PV output throughout the year. Finally, the numerical example verification shows that the proposed method not only significantly reduces the node voltage deviation and line transmission pressure, but also has better PV access characteristics and multi-index comprehensive performance within the scope of a more comprehensive technical performance evaluation, improving the rationality of PV configuration. safety and resource efficiency, which can effectively support the development needs of new distribution networks.

     

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