Multi-objective Optimization of Distribution Network Based on Model Predictive Control

Ming Wu, Lingfeng Kou, Hui Xie, Chanhui Ling, Tao Rui, Weixiang Shen

Abstract


With the increasing penetration of distributed generation(DG) in distribution network and the rising demand of electricity users, the uncertainty of distributed generation output and randomness of load will lead to over-voltage and power backward in distribution network. This paper proposes a multiobjective active and reactive power coordination optimal control strategy, which based on multi-time scale model predictive control (MPC). The objectives of proposed strategy consists of increasing distributed energy consumption, decreasing grid voltage deviation and decreasing system network loss, which are implemented in long time scale. And in short time scale, the energy storage active power is adjusted according to the prediction errors of load and new energy power generation. The effectiveness of the proposed optimization scheme is verified in simulation analysis.

Keywords


distributed Generation, model predictive control, active distribution network, multi-objective optimization, multiple time scales


DOI
10.12783/dteees/iceee2018/27892

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