基于日电量平衡与日内校验的长期随机运行模拟算法

Long-term Stochastic Operation Simulation Algorithm Based on Daily Electric Energy Balance and Intra-day Verification

随着可再生能源接入比例的不断提高,电力系统运行模拟时既需要考虑日内的可再生能源出力波动,还须分析更长时间尺度的可再生能源长期不确定性对系统运行的影响。基于日电量平衡与日内校验框架,提出了考虑多时序场景的电力系统长期随机运行模拟算法。将8760h运行模拟问题转化为日电量平衡运行模拟与日内校验过程两部分。所提算法求解电力系统时序运行模拟问题速度快,精度高,对系统内存占用小,并可以通过并行计算方式缩短求解时间。通过多场景数据进行算例测试,对比了8760h运行模拟与所提算法的求解结果,验证了所提算法的有效性。

With the increasing proportion of renewable energy access,the power system operation simulation not only needs to consider the daily fluctuation of the renewable energy output,but also needs to analyze the impact of the long-term uncertainty of the renewable energy on a longer time scale or even throughout the year.Based on the framework of the daily power balance and the intra-day verification,this paper proposes a long-term power system operation simulation algorithm considering multi-time series scenarios.The 8760 hours operation simulation problem is transformed into a daily electricity balance operation simulation and the other daily short-term operation simulation verification processes.The proposed algorithm has the advantages of fast speed,high accuracy,small system memory occupation,and it is able to shorten the solution time through parallel computing.The simulation results of the sequential operation simulation problem are compared with those of the proposed algorithm,verifying the effectiveness of the proposed algorithm.