As a large number of load-side flexible resources are explored, more and more flexible loads are involved in the power dispatching process. However, the schedulable potential of individual flexible loads is small. It is difficult to analyze them accurately. The dispersed flexible load resources need to be aggregated to better participate in system dispatching. Therefore, how to accurately evaluate and predict the schedulable potential of flexible loads becomes a problem to be solved in demand-side management. In this paper, the behavioral characteristics of three typical flexible loads are modeled first. Then, in order to aggregate the typical flexible load models, a load schedulable potential aggregation model based on Minkowski sum is established. On this basis, an LSTM-based time series prediction method is proposed to predict the schedulable potential of flexible loads. Finally, the proposed model and prediction method are validated and analyzed by means of a case study. 

Schedulable Potential Aggregation Model and LSTM-Based Time-Series Prediction Method of Flexible Load

to solve the problem that demand side parameters have high schedulable potential but insufficient response capability. In this paper, a regional multi energy cooperative optimal scheduling method is proposed, which considers user side flexible load and incentive mechanism. Secondly, a mathematical model is set up with the objective of user's active participation in scheduling, and the model is divided into two parts, namely, user's active participation in scheduling, user's active participation in scheduling, and user's active participation in scheduling. The simulation results show that the electricity, heat and gas coupling scheduling and flexible electricity, heat and gas load incentive mechanism can significantly reduce the operation cost of multi energy system and meet the demand of peak load cutting and valley filling.

Lai Wei

Papers

Cooperative optimal scheduling of multi energy system considering flexible load