Event Triggering Based Improved Variational Algorithm for Active Distribution Network and Its Stability Analysis

被引：0
作者：
Lou G. [1 ,2 ]
Jiang X. [1 ]
Gu W. [1 ]
Zhang J. [1 ]
Qin Q. [1 ]
Huang J. [1 ]
机构：
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 12期
基金：
中国国家自然科学基金;
关键词：
active distribution network; efficient simulation; event triggering; numerical stability; variational iteration method;
D O I：
10.7500/AEPS20221120003
中图分类号：
学科分类号：
摘要：
In the simulation of modern distribution network with high-density distributed generators, the traditional numerical integration algorithm is difficult to meet the fast and stable simulation requirements, so an event triggering based improved variational algorithm is proposed. First, the variational iteration method (VIM) is introduced to obtain the approximate solution corresponding to the typical state variables of the bipolar photovoltaic power station in the distribution network. Then, the numerical stability of the algorithm is verified, and its limit step size is deduced. Aiming at the problem that the calculation of partial state variables consumes more simulation resources, the event triggering mechanism is introduced, and the triggering condition of the locked value is deduced by using the norm of error to reduce the calculation frequency and improve the simulation efficiency of the system. Finally, the numerical stability and event triggering effect of the algorithm are simulated and verified. The results show that the event triggering based variational algorithm improves the simulation speed while maintaining high accuracy, and the efficiency advantage is more obvious with the expansion of node scale. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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收藏
页码：66 / 75
页数：9
相关论文
共 31 条
  • [1] LI Yalou, ZHANG Xing, HU Shanhua, Et al., Modeling and simulation technology for stability analysis of power system with high proportion of power electronics［J］, Automation of Electric Power Systems, 46, 10, pp. 33-42, (2022)
  • [2] KOUTSOUKIS NIKOLAOS C，, GEORGILAKIS PAVLOS S，, HATZIARGYRIOU NIKOS D., Multistage coordinated planning of active distribution networks［J］, IEEE Transactions on Power Systems, 33, 1, pp. 32-44, (2018)
  • [3] BALU N J，, LAUBY M G., Power system stability and control［M］, (1994)
  • [4] HU Pengfei, ZHU Naixuan, JIANG Daozhuo, Et al., Research progress and prospects of key technologies of flexible interconnected smart distribution network［J］, Automation of Electric Power Systems, 45, 8, pp. 2-12, (2021)
  • [5] GUO Qi, LU Yuanhong, Key technologies and prospects of modeling and simulation of new power system［J］, Automation of Electric Power Systems, 46, 10, pp. 18-32, (2022)
  • [6] TANG Wei, ZHANG Qiming, ZHANG Lu, Et al., Key technologies and development direction of multilevel ac/dc interconnection in new distribution system［J/OL］, Automation of Electric Power Systems
  • [7] Tao FU, Hengxu ZHANG, Changgang LI, Et al., Consistency analysis of DFIG wind generation models in PSS/E and PSASP ［C］, 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies （DRPT）, (2015)
  • [8] Non-iterative semi-implicit integration method for active distribution networks with a high penetration of distributed generations［J］, IEEE Transactions on Power Systems, 36, 1, pp. 438-450, (2021)
  • [9] Jin XU, WANG Keyou, LI Guojie, Review of real-time simulation of power electronic devices and power systems integrated with power electronic devices［J］, Automation of Electric Power Systems, 46, 10, pp. 3-17, (2022)
  • [10] WANG X L，, Et al., Eigen-analysis of large delayed cyber-physical power system by time integration-based solution operator discretization methods［J］, IEEE Transactions on Power Systems, 33, 6, pp. 5968-5978, (2018)
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