考虑源-荷不确定性的水风柴微电网优化配置
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TM727

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国家自然科学基金资助项目(51567002);广东省应用型科技研发专项资金项目(2016B020244003)


Optimal capacity configuration of hydro-wind-diesel microgrid considering uncertainty of renewable energy and load
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    摘要:

    水、风资源和负荷不确定性影响微电网配置方案的经济性和鲁棒性。文中提出一种考虑源-荷不确定性的并网型水/风/柴微电网双层优化规划模型。上层优化为微电网电源容量优化配置模型;下层优化为考虑了小水电、小风电及负荷功率不确定性的微电网优化运行模型,并利用Seng-Cheol Kang提出的鲁棒线性优化理论(SCK型鲁棒线性优化)将不确定性模型转化为确定性模型。然后,结合含精英策略的快速非支配性排序遗传算法(NSGA-Ⅱ)和混合整数线性规划(MILP)求解微电网的多目标优化配置问题。最后,以韶关地区某实际配电系统为例进行仿真验证,结果表明该模型不仅提高了微电网的鲁棒性,而且保证了配置方案的经济性及供电可靠性。

    Abstract:

    The uncertainty of hydro, wind resources and load will affect the economics and robustness of microgrid configuration, this paper proposes a bi-level optimal planning and design model for grid-connected hydro-wind-diesel microgrid, considering uncertainty of renewable energy and load. The up-level optimization is a microgrid configuration model. The low-level optimization is a microgrid economic dispatch model considering the uncertainty of hydro-wind power and load. Based on the robust linear optimization theory proposed by Seng-Cheol Kang(SCK-type robust linear optimization), the uncertainty model is transformed into a deterministic model. Then, combined with the fast non-dominated sorting genetic algorithm with elite strategy(NSGA-II) and mixed integer linear programming (MILP), the multi-objective optimal configuration problem of microgrid is solved. Finally, a distribution system in Shaoguan city is taken as a simulation example. The results show that the model not only improves the robustness of the microgrid, but also ensures the economics and reliability of the configuration.

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张文杰,吴杰康,赵俊浩,叶辉良,任德江.考虑源-荷不确定性的水风柴微电网优化配置[J].电力工程技术,2020,39(2):117-126

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历史
  • 收稿日期:2019-09-24
  • 最后修改日期:2019-11-05
  • 录用日期:2019-09-06
  • 在线发布日期: 2020-04-13
  • 出版日期: 2020-03-28