A Robustly Real-Time Economic Dispatch Strategy of Microgrids Considering Uncertainties

Weifeng Xu, Li-Guo Weng, Rong Yu, Deqiang Lian, Hao-Han Ying, Man Luo
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Abstract

The microgrid is considered to have promising development and practical application due to its characteristics of efficiency, economy and promoting the accommodation for renewable distributed generation (RDG). However, the uncertainties originated from the RDG pose challenges to the reliable operation and real-time management of microgrid. To cope with this problem, this paper proposes a real-time economic dispatch strategy of the microgrid by combining the model predictive control (MPC) and robust optimization (RO). The proposed robust MPC based strategy formulates the MPC optimization as a robust problem, which enables the real-time energy dispatch of the microgrid while ensuring its reliable operation. Meanwhile, the feedback update mechanism of MPC contributes to reduce the conservativeness of RO. In addition, the proposed solution considers the demand response (DR) of electricity load to further reduce operating cost. The effectiveness of the proposed solution is demonstrated by simulation experiments and comparison with the benchmark.
考虑不确定性的微电网鲁棒实时经济调度策略
微电网以其高效、经济、促进可再生分布式发电的适应等特点,被认为具有广阔的发展前景和实际应用前景。然而,RDG带来的不确定性给微电网的可靠运行和实时管理带来了挑战。针对这一问题,本文提出了一种将模型预测控制(MPC)与鲁棒优化(RO)相结合的微电网实时经济调度策略。提出的基于鲁棒MPC的策略将MPC优化作为一个鲁棒问题,在保证微电网可靠运行的同时实现微电网的实时能量调度。同时,MPC的反馈更新机制有助于降低RO的保守性。此外,该方案考虑了电力负荷的需求响应(DR),进一步降低了运行成本。通过仿真实验和与基准的比较,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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