基于启发算法的含大规模新能源电力系统静态安全域分析
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TM712

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新疆维吾尔自治区自然科学基金(2020D01C068)


Static Security Region Analysis of Power System With Large Scale New Energy Based on Heuristic Algorithm
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XinJiang Autonomous region natural science foundation (2020D01C068)

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    摘要:

    大规模新能源并网使电力系统不确定性增加,传统稳定性分析方法存在局限性,因此考虑从三维静态安全域(static security region,SSR)的角度进行系统静态稳定性分析。针对常规算法耗时长、精度低的不足,提出IPSO-RLS混合算法,该算法基于连续潮流数据,追踪系统稳定运行的电压、有功和无功功率安全域临界点,并形成SSR临界曲面。利用DIgSILENT /Power Factory软件对哈密电网三个风电场区域进行案例仿真并分析。最后,用灵敏度分析法验证SSR曲面的稳定性及可行性。结果表明,IPSO-RLS混合算法分析含高比例新能源电力系统SSR具有较好的鲁棒性和实用性。。

    Abstract:

    Large-scale new energy grid integration increases the uncertainty of the power system, and traditional stability analysis methods have limitations. Therefore, the static stability analysis of the system is considered from the perspective of three-dimensional static security region (SSR). In view of the shortcomings of traditional algorithms such as long time and low accuracy, IPSO-RLS hybrid algorithm was proposed. The algorithm based on continuous power flow data, tracked system safety critical points of voltage active and reactive power, formed SSR critical surface. Used DIgSILENT /Power Factory software to simulate and analyse three wind farm regions of Hami Power Grid. Finally, sensitivity analysis method was used to verify the stability and feasibility of SSR surface. The results showed that the IPSO-RLS hybrid algorithm has good robustness and practicability in analyzing SSR of high proportion new energy power system.

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吴悦,王海云,萨妮耶·麦合木提,等. 基于启发算法的含大规模新能源电力系统静态安全域分析[J]. 科学技术与工程, 2022, 22(11): 4375-4380.
Wu Yue, Wang Haiyun, Saniye Maihemuti, et al. Static Security Region Analysis of Power System With Large Scale New Energy Based on Heuristic Algorithm[J]. Science Technology and Engineering,2022,22(11):4375-4380.

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  • 收稿日期:2021-09-08
  • 最后修改日期:2022-01-20
  • 录用日期:2021-11-22
  • 在线发布日期: 2022-04-20
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