计及多层级配电网的分布式新能源最大消纳空间分解测算

doi:10.11930/j.issn.1004-9649.202404020

中国电力 ›› 2024, Vol. 57 ›› Issue (8): 108-116.DOI: 10.11930/j.issn.1004-9649.202404020

计及多层级配电网的分布式新能源最大消纳空间分解测算

孙东磊¹(), 孙毅¹(), 刘蕊¹(), 孙鹏凯²(), 张玉敏²()

1. 国网山东省电力公司经济技术研究院，山东济南　250021
2. 电网智能化调度与控制教育部重点实验室（山东大学），山东济南　250061

收稿日期:2024-04-02 出版日期:2024-08-28 发布日期:2024-08-24
作者简介:孙东磊（1988—），男，博士，高级工程师，从事电力系统规划技术研究，E-mail：sdusdlei@sina.com
孙毅（1991—），男，硕士，工程师，从事新能源接入电力系统规划技术研究，E-mail：stillalicel0@qq.com
刘蕊（1993—），女，硕士，工程师，从事电力系统规划技术研究，E-mail：liu_rui@zju.edu.cn
孙鹏凯（1997—），男，硕士研究生，从事电力系统运行与控制研究，E-mail：pksun0929@163.com
张玉敏（1986—），女，通信作者，博士，副教授，从事电力系统运行与控制研究，E-mail：ymzhang2019@sdust.edu.cn
基金资助:
国家电网有限公司科技项目（5400-202216412A-2-0-ZN）。

Maximum Accommodation Capacity Decomposition of Distributed Renewable Power Generation Considering Multi-Level Distribution Network

Donglei SUN¹(), Yi SUN¹(), Rui LIU¹(), Pengkai SUN²(), Yumin ZHANG²()

1. Economic and Technical Research Institute of State Grid Shandong Electric Power Company, Jinan 250021, China
2. Key Laboratory of Smart Grid Dispatch and Control (Shandong University), Jinan 250061, China

Received:2024-04-02 Online:2024-08-28 Published:2024-08-24
Supported by:
This work is supported by Science and Technology Project of SGCC (No.5400-202216412A-2-0-ZN).

摘要/Abstract

摘要：

分布式新能源以“点多面广”的特征并入各级配电网，电网呈现新能源多层级接入、一体化消纳的特征。为促进新能源的充分消纳与高效利用，提出了一种多层级配电网新能源最大消纳空间测算模型，并将分布式新能源最大消纳空间测算问题转换为各层级配电网新能源最大消纳空间测算子问题，实现了各层级配电网分布式新能源最大消纳空间的精确测算。首先，以多层级配电网新能源接入量最大为目标函数，基于Distflow潮流模型建立多层级配电网分布式新能源消纳空间测算模型；然后，针对模型非凸以及求解效率低等问题，基于二阶锥松弛将模型转化为混合整数二阶锥规划模型，采用交替方向乘子法（alternating direction method of multipliers，ADMM），将多层级配电网新能源消纳空间测算问题转化为各级配电网新能源最大消纳空间子问题，将消纳空间模型转化为多层级配电网分布式新能源最大消纳空间分解测算模型；最后，以IEEE 6、7、9、10、12、15测试系统为例，验证该方法的有效性。

关键词: 多层级配电网, 分布式新能源, 最大消纳空间, 二阶锥松弛, 交替方向乘子法

Abstract:

With the integration of distributed renewable energy sources (RES) into various levels of distribution networks characterized by their "numerous and widely distributed" nature, the power grid exhibits a multi-level access and integrated consumption pattern for renewable energy. To facilitate the full consumption and efficient utilization of renewable energy, a model for calculating the maximum consumption capacity of RES in multi-level distribution networks is proposed. This approach transforms the complex task of estimating the maximum RES consumption capacity in the entire system into sub-problems focused on individual distribution network levels, thereby enabling precise measurements of the maximum RES consumption space at each level. Firstly, with the objective of maximizing the RES penetration within the multi-level distribution network, a consumption space calculation model is established based on the Distflow power flow model. Secondly, to address the issues of non-convexity and low solution efficiency inherent in the model, a second-order cone relaxation technique is applied to transform the model into a mixed-integer second-order cone programming (MISOCP) model. Subsequently, the alternating direction method of multipliers (ADMM) is employed to decompose the overall RES consumption space estimation problem into sub-problems focused on individual distribution network levels, effectively transforming the consumption space model into a decomposed calculation model for the maximum RES consumption capacity across the multi-level distribution network. Finally, the effectiveness of this methodology is demonstrated through simulations on the IEEE 6, 7, 9, 10, 12, and 15 test systems.

Key words: multi-level distribution network, distributed energy resource, maximum accommodation capacity, second order cone relaxation, alternating direction method of multipliers

孙东磊, 孙毅, 刘蕊, 孙鹏凯, 张玉敏. 计及多层级配电网的分布式新能源最大消纳空间分解测算[J]. 中国电力, 2024, 57(8): 108-116.

Donglei SUN, Yi SUN, Rui LIU, Pengkai SUN, Yumin ZHANG. Maximum Accommodation Capacity Decomposition of Distributed Renewable Power Generation Considering Multi-Level Distribution Network[J]. Electric Power, 2024, 57(8): 108-116.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404020

https://www.electricpower.com.cn/CN/Y2024/V57/I8/108

图/表 7

图 1 多层级配电网结构

Fig.1 Multi-level distribution network structure

图 2 模型解耦示意

Fig.2 Model decoupling

图 3 多层级配电网拓扑结构

Fig.3 Multi-level distribution network topology

图 4 风机、光伏功率预测时序标幺值

Fig.4 Time series standard values for wind turbine and photovoltaic power prediction

表 1 不同求解方式结果对比

Table 1 Comparison of results of different solving methods

配电网	分布式新能源消纳空间/(kV·A)
配电网	方案1	方案2
35 kV配电网	1709.89	1335.76
10 kV配电网1	156.03	319.72
10 kV配电网2	145.56	245.72
10 kV配电网3	103.63	188.64
220 V配电网1	82.81	123.33
220 V配电网2	85.49	121.20
总容量	2286.41	2334.37

图 5 联络线和配电网功率

Fig.5 Active power of tie-line and distribution network

表 2 各方案电压偏移指数

Table 2 The voltage offset index of each scheme

方案		电压偏移指数
1		0.04571
2		0.00093

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计及多层级配电网的分布式新能源最大消纳空间分解测算

Maximum Accommodation Capacity Decomposition of Distributed Renewable Power Generation Considering Multi-Level Distribution Network

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