计及多维性能评估的新型配电网光伏选址定容方法

doi:10.11930/j.issn.1004-9649.202311027

中国电力 ›› 2024, Vol. 57 ›› Issue (10): 172-178, 207.DOI: 10.11930/j.issn.1004-9649.202311027

• 数字化技术驱动的新型配电网 • 上一篇下一篇

计及多维性能评估的新型配电网光伏选址定容方法

陈奇芳¹(), 李若凡¹(), 夏明超²(), 吴迪³, 邵尹池⁴

1. 北京交通大学电气工程学院，北京　100044
2. 大连交通大学自动化与电气工程学院，辽宁大连　116028
3. 山东中实易通集团有限公司，山东济南　250001
4. 国网冀北电力科学研究院，北京　100045

收稿日期:2023-11-07 出版日期:2024-10-28 发布日期:2024-10-25
作者简介:陈奇芳（1986—），男，博士，副教授，从事电动汽车汽车V2G应用、综合能源系统、电力-交通融合等研究，E-mail：chenqf@bjtu.edu.cn
李若凡（1998—），男，博士研究生，从事配电网优化运行研究，E-mail：23111461@bjtu.edu.cn
夏明超（1976—），男，通信作者，教授，从事能源互联网、需求响应及柔性负荷调度等研究，E-mail：mchxia@bjtu.edu.cn
基金资助:
国家自然科学基金资助项目（52007004）。

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

Qifang CHEN¹(), Ruofan LI¹(), Mingchao XIA²(), Di WU³, Yinchi SHAO⁴

1. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
2. School of Automation and Electrical Engineering, Dalian Jiaotong University, Dalian 116028, China
3. Shandong Zhongshi Yitong Group Co., Ltd., Jinan 250001, China
4. State Grid Hebei Electric Power Research Institute, Beijing 100045, China

Received:2023-11-07 Online:2024-10-28 Published:2024-10-25
Supported by:
This work is supported by National Natural Science Foundation of China (No.52007004)

摘要/Abstract

摘要：

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，并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。

关键词: 选址定容, 分布式光伏, 综合评价方法, 新型配电网

Abstract:

This paper proposes a new distribution network photovoltaic (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.

Key words: locating and sizing, distributed photovoltaic, comprehensive evaluation method, new distribution network

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, 2024, 57(10): 172-178, 207.

Qifang CHEN, Ruofan LI, Mingchao XIA, Di WU, Yinchi SHAO. Photovoltaic Site Selection and Capacity Determination Method for New Distribution Network Considering Multidimensional Performance Evaluation[J]. Electric Power, 2024, 57(10): 172-178, 207.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311027

https://www.electricpower.com.cn/CN/Y2024/V57/I10/172

图/表 11

图 1 新型配电网技术性能评估指标体系

Fig.1 Technical performance evaluation index system of new distribution network

图 2 基于综合性能评价的评价-选取一体化分布式光伏选址定容模型

Fig.2 Evaluation-selected integrated distributed PV locating and sizing model based on comprehensive performance evaluation

图 3 基于NSGA-II算法的优化流程

Fig.3 Optimization process based on NSGA-II algorithm

图 4 河北省某地的配电网结构

Fig.4 Distribution network structure in Hebei Province

图 5 非支配解构成的Pareto平面

Fig.5 Pareto front composed of non-dominated decomposition

表 1 不同接入方案的最佳参数

Table 1 Optimal parameters for different access solutions

方案类型	接入参数	接入点情况					评价结果
方案类型	接入参数	1	2	3	4	5	评价结果
3点接入	位置	9	13	17	—	—	76.02
3点接入	容量/kW	698	1477	1083	—	—	76.02

5点接入	位置	8	13	14	17	19	75.74
5点接入	容量/kW	640	971	400	710	400	75.74

表 2 主客观赋权权重

Table 2 Subjective and objective weighting

指标级别		指标	评价体系指标赋权情况
指标级别		指标	主观赋权	客观赋权	组合赋权	归一化组合赋权
一级指标		A1	0.252	0.413	0.325	—
		A2	0.327	0.306	0.324	—
		A3	0.421	0.281	0.351	—
二级指标	A1	B1	0.409	0.465	0.438	0.143
		B2	0.281	0.243	0.258	0.084
		B3	0.310	0.292	0.304	0.099
	A2	B4	0.193	0.121	0.154	0.050
		B5	0.406	0.467	0.440	0.143
		B6	0.401	0.412	0.406	0.132
	A3	B7	0.272	0.321	0.307	0.107
		B8	0.222	0.292	0.268	0.094
		B9	0.190	0.021	0.065	0.023
		B10	0.316	0.366	0.360	0.125

图 6 不同方案下节点电压对比

Fig.6 Comparison of node voltages under different schemes

图 7 不同方案的指标对比

Fig.7 Comparison of indicators of different solutions

图 8 线路最大传输容量与重、过载运行条数

Fig.8 The maximum transmission capacity of the line and the number of heavy and overload operating lines

表 3 不同方法的评价指标

Table 3 Evaluation indicators of different methods 单位：%

评价指标	3点接入			5点接入
评价指标	固定权重法	单一模糊综合评价	本文方法	固定权重法	单一模糊综合评价	本文方法
B1	2.53	2.48	2.58	2.49	2.46	2.60
B2	2.30	2.38	2.21	2.37	2.41	2.19
B3	100.00	100.00	100.00	100.00	100.00	100.00
B4	25.00	25.00	25.00	25.00	25.00	25.00
B5	3.07	3.07	3.07	3.07	3.07	3.07
B6	2.29	2.37	2.29	2.30	2.33	2.29
B7	103.52	98.52	96.40	109.59	106.64	92.35
B8	76.90	76.90	76.90	74.88	75.67	76.90
B9	12.59	7.61	5.50	13.87	13.23	1.48
B10	5.85	3.27	2.17	9.13	7.58	0.41

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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

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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

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