Probabilistic Load Flow in Computer Power Systems: Considering Fluctuations in Photovoltaic Output Power
Kejie Wang, Zongxu Peng, Chao Wang, Jie Li and Junling Zhao
In order to reduce the impact of photovoltaic power grid integration, the power flow stability is analyzed by probabilistic load flow. This study briefly introduced the correlation model used to calculate the probabilistic load flow of the grid when accessing photovoltaic power fluctuations and the calculation method of the probabilistic load flow of the grid system. Then the matrix laboratory (MATLAB) software was used to simulate the probabilistic load flow of the IEEE14 node system. The results showed that the proposed method was accurate enough for the probabilistic analysis of power systems. The voltage expectation and mean square of the node increased with the increase of photovoltaic output power. The power flow expectation of the line decreased with the increase of photovoltaic output power, and the current trend of the line was opposite, which increased with the increase of photovoltaic output power. In summary, the probabilistic load flow can effectively analyze the stability of the power system when the photovoltaic output power changes.
Keywords: probabilistic load flow, photovoltaic power, Monte Carlo simulation, matrix laboratory