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2025, 03, v.41 229-233
基于线损灵敏度因子与区间潮流的配电网分布式光伏消纳能力优化模型
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摘要:

电力供给形式复杂,导致各节点接入分布式光伏容量不一、消纳能力受限,严重影响了配电网系统对光电的可靠利用。针对该问题,提出基于线损灵敏度因子与区间潮流的配电网分布式光伏消纳能力优化模型。通过线损灵敏度因子分类配电网的原始数据,以均方根电流法计算区间最大负荷损耗,获取配电网的真正运行线损数据。设置区间潮流约束条件,以等值电路模拟配电网运行状态,匹配光伏节点的分布形式。以目标函数汇总各节点接入量,综合考虑配电网经济效益,采用加权处理函数构建优化模型。实验结果表明:应用所提模型后,可以减少弃光现象,保证夜间用电负荷,且消纳优化情况与预测值基本吻合;可以改变光电系统储能模式,改善配电系统的弃光问题,具有应用效果。

Abstract:

The complex form of power supply results in varying distributed photovoltaic capacity and limited absorption capacity for each node, which seriously affects the reliable utilization of photovoltaic power in the distribution network system. Aimed at the issue, a distributed photovoltaic absorption capacity optimization model for distribution network based on line loss sensitivity factor and interval power flow is proposed. The raw data of the distribution network is classified by the line loss sensitivity factor, and the maximum load loss in the interval is calculated using the root mean square current method to obtain the true operating line loss data of the distroution network. This paper sets interval power flow constraints, simulates the operation status of the distribution network with equivalent circuits, and matches the distribution form of photovoltaic nodes. The access volume of each node is summarized by an objective function, the economic benefits of the distribution network is comprehensively considered, and an optimization model is constructed by a weighted processing function. The experimental results show that after the application of the model in this article, the phenomenon of abandoned light can be reduced, the nighttime electricity load can be ensured, and the optimization of consumption is basically consistent with the predicted values. It can change the energy storage mode of the photovoltaic system, improve the problem of abandoned light in the distribution system, and has practical effects.

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基本信息:

中图分类号:TM615

引用信息:

[1]巢红暄,查四平.基于线损灵敏度因子与区间潮流的配电网分布式光伏消纳能力优化模型[J].微型电脑应用,2025,41(03):229-233.

发布时间:

2025-03-20

出版时间:

2025-03-20

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