Rolling Optimal Scheduling of Active Distribution Network Based on Sequential Dynamic Constraints

In order to effectively deal with the challenges to ADN optimal scheduling brought by uncertain factors such as intermittent energy and load in active distribution network (ADN), a rolling continuous real-time optimal scheduling method for ADN based on temporal dynamic constraints is proposed. Taking the optimal economic with a constant scheduling period of 24 h as the optimization objective, a comprehensive real-time optimal scheduling model considering all kinds of active and reactive power resources is established. The proposed scheduling method of rolling optimization is based on the real-time data collected at the optimization time and the prediction data of the subsequent 23 h, the harmonic search algorithm is used to solve the developed scheduling model, and the optimal operation scheme of ADN at each time is continuously determined in real-time. In the modeling process, considering that the uncertainties of prediction of wind, solar resource and load increase with the increase of time, this paper puts forward the concept of time-series dynamic constraint, that is, its security constraint becomes looser and looser in the future, so as to expand the solution space and further improve the economic level of the scheduling scheme. Finally, the scheduling simulation analysis of the improved IEEE 33-node and IEEE 69-node examples verifies the feasibility and effectiveness of the proposed method and model. © 2019 Automation of Electric Power Systems Press.