Evaluation Method of Peak Shaving Potential for Multi-type Users Considering the Promotion of Clean Energy Consumption

Abstract

Peak shaving on the user side is an effective means to promote the consumption of clean energy. This study proposes a user-side participation in peak shaving potential evaluation model considering the promotion of clean energy consumption in order to give full play to the advantages of user-side participation in peak shaving, fast response and high economy and to improve user participation enthusiasm. Aiming at the problem of multi-time scale volatility that traditional static methods cannot reflect the peak shaving potential index, this study proposes a dynamic incentive evaluation method by extracting the multi-day typical characteristics of multiple types of users participating in peak shaving. First, interval weights were constructed to reduce the impact of user load fluctuations on evaluation indicators; the idea of acceleration was introduced to describe the trend of changes in the observed values of indicators at different time scales; second, the gain range of the advantages and disadvantages of each type of indicator was calculated. In addition, assigning corresponding ”reward” and ”punishment” values can reflect the current state of the evaluated object more objectively and truly, thereby obtaining dynamic incentive index values; finally, based on interval weights and dynamic incentive index values, an interval-type decision matrix pair was formed. The potential of various types of users to participate in peak shaving was scored and sorted. Taking the load of five types of users in a certain area as an example, the results show that this method can effectively evaluate the peak shaving potential of different types of loads.