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基于SUNDIALS的有源配电网随机动态仿真方法
引用本文:赵金利,范朕宁,李鹏,原凯,王成山.基于SUNDIALS的有源配电网随机动态仿真方法[J].电力系统自动化,2017,41(6):51-58.
作者姓名:赵金利  范朕宁  李鹏  原凯  王成山
作者单位:智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072,国网北京经济技术研究院, 北京市 102209,智能电网教育部重点实验室(天津大学), 天津市 300072
基金项目:国家电网公司科技项目“复杂配电网暂态过程数模混合仿真技术研究”
摘    要:随着分布式电源在配电网络中的渗透率不断提高及用电需求的日益增长,分布式电源及负荷具有的随机特性对配用电侧的安全可靠运行带来了新的挑战。为此,文中提出了一种考虑随机扰动影响的有源配电系统动态仿真方法。首先,根据分布式电源及负荷的随机特性,建立了光辐照度、风速、负荷波动的随机动态模型;其次,基于SUNDIALS提出了有源配电网随机动态仿真方法;最后,在中低压有源配电系统算例中进行了测试和验证。该方法与确定性仿真方法相比能够反映配电系统的不确定性,得到更真实的仿真结论。此外,利用SUNDIALS与并行计算策略,在满足了仿真数值精度的同时,提高了仿真效率。

关 键 词:随机动态仿真  随机微分方程  SUNDIALS  并行算法  有源配电网
收稿时间:2016/8/24 0:00:00
修稿时间:2017/1/20 0:00:00

SUNDIALS Based Stochastic Dynamic Simulation Method of Active Distribution Networks
ZHAO Jinli,FAN Zhenning,LI Peng,YUAN Kai and WANG Chengshan.SUNDIALS Based Stochastic Dynamic Simulation Method of Active Distribution Networks[J].Automation of Electric Power Systems,2017,41(6):51-58.
Authors:ZHAO Jinli  FAN Zhenning  LI Peng  YUAN Kai and WANG Chengshan
Affiliation:Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,State Power Economic Research Institute, Beijing 102209, China and Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China
Abstract:With the increasing penetration of distributed generators(DGs)and demand for electricity, the security and stability of distribution networks is facing new challenges due to the randomness of DGs and loads. A dynamic simulation method taking the stochastic disturbance influence into account is proposed for active distribution networks(ADNs). Firstly, stochastic models of the irradiance, wind speed and load fluctuations are developed to simulate the stochastic characteristics of DGs and loads. Then, a stochastic dynamic simulation method based on SUNDIALS is proposed. Finally, case studies based on a medium and low voltage ADN are performed to verify the proposed method. Compared with the deterministic simulation methods, the proposed method based on SUNDIALS and the parallel algorithm is better able to reflect the stochastic characteristics of ADNs while meeting the requirements of high simulation accuracy.
Keywords:stochastic dynamic simulation  stochastic differential equation(SDE)  SUNDIALS  parallel algorithm  active distribution network(ADN)
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