The optimization of CPP strategy based on load data analysis

This paper analyzes the optimization of critical peak pricing(CPP) policy. It includes two aspects: the selection of CPP dates and CPP time intervals, and the determination of electricity prices at CPP days. For the former aspect, temperature-triggering method is employed to determine the CPP dates, and the frequency distribution of the time intervals where critical peak loads(CPLs) appear is used to determine the CPP time intervals. For the latter aspect, firstly the load response model under CPP based on load-price elasticity and load transfer potential(LTP) is built. Then with the objective of cutting critical peak loads(CPLs), the optimization model is established and solved to obtain the optimal pricing strategy on CPP days, considering the fee balance mode and the fee increase mode. The results show that the second mode surpasses the first mode.