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Modeling Analysis and Improvement of Power Loss in Microgrid

机译：微电网的功率损耗建模分析与改进

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摘要

The consumption of conventional energy sources and environmental concerns have resulted in rapid growth in the amount of renewable energy introduced to power systems. With the help of distributed generations (DG), the improvement of power loss and voltage profile can be the salient benefits. However, studies show that improper placement and size of energy storage system (ESS) lead to undesired power loss and the risk of voltage stability, especially in the case of high renewable energy penetration. To solve the problem, this paper sets up a microgrid based on IEEE 34-bus distribution system which consists of wind power generation system, photovoltaic generation system, diesel generation system, and energy storage system associated with various types of load. Furthermore, the particle swarm optimization (PSO) algorithm is proposed in the paper to minimize the power loss and improve the system voltage profiles by optimally managing the different sorts of distributed generations under consideration of the worst condition of renewable energy production. The established IEEE 34-bus system is adopted to perform case studies. The detailed simulation results for each case clearly demonstrate the necessity of optimal management of the system operation and the effectiveness of the proposed method.
机译：常规能源的消耗和环境问题导致引入电力系统的可再生能源数量迅速增长。在分布式发电（DG）的帮助下，功率损耗和电压分布的改善可能是显着的好处。但是，研究表明，储能系统（ESS）的放置位置和尺寸不当会导致不良的功率损耗和电压稳定的风险，尤其是在可再生能源渗透率很高的情况下。为了解决这个问题，本文建立了一个基于IEEE 34总线配电系统的微电网，该系统由风力发电系统，光伏发电系统，柴油发电系统以及与各种负荷相关的储能系统组成。此外，本文提出了粒子群优化（PSO）算法，通过考虑可再生能源生产的最坏条件，通过优化管理不同种类的分布式发电来最小化功率损耗并改善系统电压曲线。采用已建立的IEEE 34总线系统进行案例研究。针对每种情况的详细仿真结果清楚地表明了对系统运行进行最佳管理的必要性以及所提出方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第5期|493560.1-493560.8|共8页
  • 作者

    Lan H.; Wen S.; Fu Q.; Yu D. C.; Zhang L.;

  • 作者单位

    Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China.;

    Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China.;

    Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53211 USA.;

    Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53211 USA.;

    Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China.;

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