With higher and higher penetration rate of renewable energy sources in the microgrid
the uncertainty of microgrid operation is increasing remarkably. So it is necessary to evaluate the impact of input variables on the state of system to improve the control level of system operation. This paper considers the uncertainty of distributed generators(DGs)and loads in the islanded microgrid
and proposes a robust Levenberg-Marquardt(LM)method based on P-f/Q-U droop control method to solve the probabilistic power flow(PPF)model of the islanded AC microgrid under integrated control strategy. Based on the uncertainty of system state
a global sensitivity analysis(SA)method based on Sobol' theory is proposed to analyze the sensitivity of islanded microgrid PPF. This method can identify the key random input variables influencing the system state. Finally
the 33-node islanded microgrid with several DGs is simulated. The first order sensitivity and total sensitivity of input factors are calculated to analyze the influence of input variables on the system state
and the effectiveness of the proposed method is verified.
Holomorphic Embedding Probabilistic Power Flow Calculation Method for AC/DC System Based on Polynomial Chaos Expansion
Coordinated Optimal Dispatch of Transmission and Distribution Power Systems Considering Operation Flexibility of Integrated Energy System
Robust-stochastic Reserve Optimization Considering Uncertainties of Failure Probability and Net Load
Related Author
WANG Han
LI Xue
FU Yunyue
JIANG Tao
LI Guoqing
JI Xingquan
ZHANG Xuan
YU Yixiao
Related Institution
Key Laboratory of Control of Power Transmission and Conversion (Shanghai Jiao Tong University), Ministry of Education
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
College of Electrical Engineering and Automation, Shandong University of Science and Technology
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University)
Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education (Shandong University)