Due to the instability of new energy,the short-term operation indexes of the grid will fluctuate significantly after connecting to the distribution network,which seriously affects the short-term operation reliability of the distribution network as well as the accuracy of the assessment results.Based on historical big data,a short-term operation reliability assessment method of new energy distribution network is designed.Under the environment of big data accumulated in the previous period,the factors affecting the short-term operation reliability of distribution networks under the influence of fluctuations are obtained by analyzing the big data.The Monte Carlo sequential simulation system model of the distribution network is constructed to obtain the real-time operation status of the distribution network.The search is carried out by component,and the corresponding search state table of the component is organized to obtain the key indexes.The ant colony algorithm is used to calculate each indicator at the load point to realize the short-term operational reliability assessment of the distribution network.The experimental results show that the proposed method can effectively evaluate the short-term operation of distribution networks under different wiring modes and obtain the value of unit power.The method can accurately assess the short-term operation reliability of new energy distribution network.
关键词
大数据/新能源/配电网/短期运行/可靠性评估/蒙特卡洛/运行状态
Key words
Big data/New energy/Distribution network/Short-term operation/Reliability assessment/Monte Carlo/Operational status
维普
万方数据