Grid Modeling and Performance Analysis of Distributed Power System Considering Wind Energy Uncertainty

摘要

Due to the exhaustion of fossil fuel energy and the gradual improvement of people's awareness of environmental protection, the proportion of renewable energy sources (RES) to the power grid is increasing rapidly. Among them, wind and solar power generation are the most common, but these renewable energy power generation has great uncertainty. The traditional deterministic power flow analysis method cannot be directly applied to the grid with high penetration of renewable energy. To solve this problem, we use DIgSILENT PowerFactory software to build and simulate the grid model, and a stochastic optimal power flow (SOPF) study is further conducted to evaluate the impact of RES penetrations. Two case studies with different size of networks, i.e., the modified IEEE 24-bus test system and a larger modified IEEE 118-bus test system, are implemented. DIgSILENT programming language (DPL) is used to calculate the SOPF in different wind power scenarios. Grid performance is evaluated using different power system indices, such as the voltage deviation, power losses, power generation cost and carbon emissions. Finally, the impact of changing wind power plants position on the grid is investigated.