Bias Electricity Settlement Based on MapReduce Parallel Computing

The treatment of unbalanced funds in the electricity market is a problem related to pricing and settlement, which has a great impact on the fairness and efficiency of the market, and has attracted much attention in the trial operation of China's electricity spot market. This article analyzes the reasons for the generation of unbalanced funds and the disadvantages of conventional calculation methods. It proposes a parallel computing method based on MapReduce, which meets the requirements of fast calculation of massive data and adapts to flexible changes in various settlement rules, ensuring continuous and highly reliable operation. Finally, the effectiveness of MapReduce parallel computing is verified by simulation case study.