考虑风电不确定性的配电网区间潮流计算

刘刚; 王秀茹; 李华; 赵超; 凌万水; 吉小鹏

刘刚,王秀茹,李华,赵超,凌万水,吉小鹏.考虑风电不确定性的配电网区间潮流计算[J].电测与仪表,2022,59(2):126-132.
Liu Gang,Wang Xiuru,Li Hua,Zhao Chao,Ling Wanshui,Ji Xiaopeng.Interval power flow calculation for distribution networks considering the uncertainty of wind power[J].Electrical Measurement & Instrumentation,2022,59(2):126-132.

考虑风电不确定性的配电网区间潮流计算

Interval power flow calculation for distribution networks considering the uncertainty of wind power

DOI：10.19753/j.issn1001-1390.2022.02.018

中文关键词: 配电网分布式电源风电不确定性潮流计算区间分析动模实验平台

英文关键词:distribution networks, distributed generation, wind power, uncertainty, power flow calculation, interval analysis, dynamic simulation experimental platform

基金项目:江苏省软件专项资助项目：宁财企[2017]880号

作者中文名	作者英文名	单位
刘刚	Liu Gang	国网宿迁供电公司
王秀茹	Wang Xiuru	国网宿迁供电公司
李华	Li Hua	国网宿迁供电公司
赵超	Zhao Chao	国网宿迁供电公司
凌万水	Ling Wanshui	上海金智晟东电力科技有限公司
吉小鹏	Ji Xiaopeng	南京理工大学自动化学院;南京理工大学自动化学院

摘要点击次数: 1597

中文摘要:

高渗透率风电的接入使得配电网三相潮流计算需要考虑更多不确定因素，传统的潮流计算方法面临严峻挑战。文中基于区间分析理论，采用区间数对风力发电系统出力的不确定性进行描述与分析，并建立了考虑风电注入功率不确定性的配电网三相区间潮流计算模型。为高效求解所建立的配电网三相区间潮流计算模型，基于对传统非线性区间方程求解方法的分析与改进，提出了采用Krawczyk-Moore算子对该区间潮流计算数学模型进行求解的方法，可以进一步提高区间运算结果的精确性。通过组态式配网动模试验搭建IEEE 37节点不平衡配电网测试系统进行仿真验证，并与现有的配电网确定性三相潮流计算方法进行对比，结果表明所提出的区间潮流计算方法能够较好地跟踪风电出力的不确定性，可为配电网调度提供系统运行状态上下界的参考。

英文摘要:

High penetration of wind power injections makes the three-phase power flow calculation of the distribution network need to consider more uncertainties, and the traditional power flow calculation methods face severe challenges. Based on the interval analysis theory, this paper describes and analyzes the uncertainty of wind power outputs using interval numbers, and establishes a three-phase interval power flow calculation model for distribution network considering the uncertainty of wind power injections. In order to solve the established three-phase interval power flow calculation model efficiently, the method of solving the mathematical model by Krawczyk-Moore operator is proposed, based on the analysis and improvement of the traditional nonlinear interval equations, and the conservativeness of the interval results can be further reduced. The feasibility of the proposed interval power flow is verified via the modified IEEE 37-node test system which is carried out based on the established dynamic simulation experimental platform, and the simulation results show that the proposed interval power flow calculation method can better track uncertainty of wind power injections than that of the existing deterministic three-phase power flow models. It can provide a reference for the upper and lower bounds of the operating state of the system for distribution network scheduling.

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