综合智慧能源 ›› 2024, Vol. 46 ›› Issue (10): 26-31.doi: 10.3969/j.issn.2097-0706.2024.10.004

• 新能源电力系统优化 • 上一篇    下一篇

基于配网状态的分布式电源接入位置研究

管晓虎(), 王长云, 张燕   

  1. 新疆农业大学 机电工程学院,乌鲁木齐 830052
  • 收稿日期:2023-05-22 修回日期:2023-08-22 接受日期:2024-08-31 出版日期:2024-10-25
  • 作者简介:管晓虎(1982),男,副教授,硕士,从事控制理论与控制工程、风力发电控制系统等方面的研究,31611561@qq.com
  • 基金资助:
    新疆维吾尔自治区天山创新团队计划项目(2021D14012)

Research on the access location of distributed generations based on distribution network status

GUAN Xiaohu(), WANG Changyun, ZHANG Yan   

  1. College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2023-05-22 Revised:2023-08-22 Accepted:2024-08-31 Published:2024-10-25
  • Supported by:
    Xinjiang Tianshan Innovation Team Supported Project(2021D14012)

摘要:

分布式电源接入配网的位置关系到配网自身的经济稳定运行。以降低分布式风电接入对配网电压和网络损耗的影响为准则,开展以配网状态为决策依据的分布式电源接入位置的研究。在确保分布式风电接入后系统仍能稳定运行前提下,制定相关约束条件,建立以网络损耗、配电网电压偏差、配电网电压稳定性指标的目标函数,并对目标函数进行归一化处理以及权重分配,确定了分布式风电接入后的电网运行情况评价方程。以IEEE 33节点系统为算例,通过粒子群算法寻优,找出最佳接入位置。将容量为600 kW的风力发电系统接入IEEE 33节点系统时,最优并网位置为17节点。在该节点接入后,配电网的网络损耗下降了38.31%,电压偏差降低了42.05%,同时配电网电压稳定性改善了18.59%。提出的分布式电源接入位置决策方法能够在保证配网系统稳定可靠运行的约束下,通过选取最优接入位置显著改善配网电压和网络损耗,为分布式电源接入位置研究提供一种新的思路。

关键词: 分布式电源, 潮流计算, 粒子群算法, 网络损耗, 电压稳定性, 电压偏差

Abstract:

The locating of distributed generators' access points will impact the economic and stable operation of a distribution network. To reduce the impact of distributed wind power's grid connection on network voltage and network loss, a study on locating the generators' access points based on the distribution network status is carried out. Under the premise of ensuring the stable operation of the whole system after the grid connection of distributed wind power, relevant constraint conditions are formulated, and objective functions are established based on indicators including network loss, distribution network voltage deviation and distribution network voltage stability. The objective functions are normalized and weighted,determining the evaluation equation for the power grid operation after the access of distributed wind power. Taking an IEEE 33 node system as an example, the optimal access location can be found by the particle swarm optimization algorithm. Connecting a 600 kW wind generation system to the IEEE 33 node system , the optimal access point is the node 17. With the access of wind power at this node, the network loss and the voltage deviation of the distribution network is reduced by 38.31% and 42.05%, respectively,and the voltage stability of the distribution network is improved by 18.59%. The proposes decision-making method for the access location of distributed power suppliers can significantly improve the distribution network voltage and network loss by selecting the optimal access location under the constraint of ensuring stable and reliable operation of the distribution network system, providing a new approach for distributed power supply access point locating.

Key words: distributed generation, power flow calculation, particle swarm optimization, network loss, voltage stability, voltage deviation

中图分类号: