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Active Distribution Network Optimal Dispatch Model Considering Day-Ahead-Intraday Scale Demand Side Response

  • Changbin Hu,
  • Zhicheng Yang,
  • Shanna Luo,
  • Yu He

摘要

For the power quality problems caused by the large-scale access of distributed renewable energy to the distribution network, considering the fluctuation and uncertainty of distributed generator (DG) output and the characteristics of different response time scales of different load types, a method using optimal dispatch model for active distribution network (ADN) with demand-side response on day-ahead-intraday scale. Firstly, the loads are classified and the curtailable and shifting loads are modeled and analyzed from the perspective of user side and distribution network side simultaneously. Secondly, a day-ahead-intraday optimal dispatch framework based on MPC (Model Prediction Control) is proposed, and the role and relevance of the day-ahead and intraday parts are explained respectively. Then it analyzes the day-ahead and intraday goals and constraints respectively and elaborates its control process. Finally, the improved IEEE-33 node model is used to verify and analyze the model, and it is verified that the proposed model can precisely analyze and effectively optimize the power quality of the distribution network and improve the economy of the grid side.