基于改进萤火虫算法的含多种新能源地区电网的无功电压优化
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(1.国网山东省电力公司,山东 济南250021;2.北京信息科技大学自动化学院,北京100192;3.中国电力企业联合会电力建设技术经济咨询中心,北京100053)

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[ZK

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TM714

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[ZK


Reactive power and voltage optimization based on improved firefly algorithm in regional power grids with a variety of new energies
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(1.State Grid Shandong Electric Power Company, Jinan 250021, China;2.School of Automation, Beijing Information Science & Technology University, Beijing 100192, China;3.Technical and Economic Consulting Centre of Electric Power Construction, CEC, Beijing 100053, China)

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    摘要:

    为了解决风电和光伏等新能源场站大规模并网时带来的电压波动及越限问题,以及传统无功电压优化求解算法易陷入局部最优问题,提出了基于改进萤火虫算法

    Abstract:

    In order to solve voltage fluctuation and off-limit problems caused by the large-scale grid connection of new energy stations such as wind power and photovoltaic, as well as the problem of traditional reactive power and voltage calculation methods easily falling into local optima, a new optimization model based on improved firefly algorithm (IFA) for the regional power grid is proposed. In this model, the sum of standardized active power losses, node voltage deviations, and reactive output deviations is used as the optimization objective. Meanwhile, regional power flow calculation, terminal voltage and reactive capacity of thermal power units, transformer ratios, active power of new energy stations and reactive power of static var compensators are used as constraints that needs to be met. Then, by using an IFA to solve the optimization model, the algorithm’s computational accuracy and global optimization ability are increased by introducing new step size and position update formulas. Finally, the effectiveness of the presented model is validated using an IEEE-30 bus system. The results indicate that the proposed optimization model can reduce the active power loss of the system, improve the reactive power distribution of the regional power grid, resist the voltage fluctuation of the system, and improve the power quality of the regional power grid. IFA can effectively improve the calculation accuracy and speed, and improve the global optimization ability.

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于佰建,陈卓尔,宋长城,等.基于改进萤火虫算法的含多种新能源地区电网的无功电压优化[J].河海大学学报(自然科学版),2024,52(5):93-100.(YU Baijian, CHEN Zhuoer, SONG Changcheng, et al. Reactive power and voltage optimization based on improved firefly algorithm in regional power grids with a variety of new energies[J]. Journal of Hohai University (Natural Sciences),2024,52(5):93-100.(in Chinese))

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  • 收稿日期:2024-02-29
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  • 在线发布日期: 2024-09-25
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