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Energy Optimization for Distributed Energy Resources Scheduling with Enhancements in Voltage Stability Margin

机译：电压稳定裕度增强的分布式能源调度能源优化

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摘要

The need for developing new methodologies in order to improve power system stability has increased due to the recent growth of distributed energy resources. In this paper, the inclusion of a voltage stability index in distributed energy resources scheduling is proposed. Two techniques were used to evaluate the resulting multiobjective optimization problem: the sum-weighted Pareto front and an adapted goal programming methodology. With this new methodology, the system operators can consider both the costs and voltage stability. Priority can be assigned to one objective function according to the operating scenario. Additionally, it is possible to evaluate the impact of the distributed generation and the electric vehicles in the management of voltage stability in the future electric networks. One detailed case study considering a distribution network with high penetration of distributed energy resources is presented to analyse the proposed methodology. Additionally, the methodology is tested in a real distribution network.
机译：由于最近分布式能源的增长，对开发新方法以改善电力系统稳定性的需求已经增加。本文提出了在分布式能源资源调度中纳入电压稳定指数的建议。两种技术用于评估由此产生的多目标优化问题：总和加权Pareto前沿和一种自适应的目标规划方法。使用这种新方法，系统操作员可以同时考虑成本和电压稳定性。可以根据操作方案将优先级分配给一个目标功能。另外，有可能评估分布式发电和电动车辆对未来电网中电压稳定性管理的影响。提出了一个详细的案例研究，该案例考虑了具有分布式能源高渗透率的配电网络，以分析所提出的方法。此外，该方法已在真实的分销网络中进行了测试。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第5期|6379253.1-6379253.20|共20页
  • 作者

    Morais Hugo; Sousa Tiago; Perez Angel; Johannsson Hjortur; Vale Zita;

  • 作者单位

    DTU, Dept Elect Engn, Automat & Control Grp, Bldg 326, DK-2800 Lyngby, Denmark;

    Polytech Inst Porto IPP, Knowledge Engn & Decis Support Res Ctr, GECAD, R Dr Antonio Bernardino de Almeida 431, P-4200072 Oporto, Portugal;

    DTU, Dept Elect Engn, Automat & Control Grp, Bldg 326, DK-2800 Lyngby, Denmark;

    DTU, Dept Elect Engn, Automat & Control Grp, Bldg 326, DK-2800 Lyngby, Denmark;

    Polytech Inst Porto IPP, Knowledge Engn & Decis Support Res Ctr, GECAD, R Dr Antonio Bernardino de Almeida 431, P-4200072 Oporto, Portugal;

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