Optimal Power Factor Regulation of Dispersed Wind Farms under Diverse Load and Stochastic Wind Conditions Based on Improved Firefly Algorithm

Liu Hao; Wang Wei; Cui Jia; Tang Fen

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Optimal Power Factor Regulation of Dispersed Wind Farms under Diverse Load and Stochastic Wind Conditions Based on Improved Firefly Algorithm

机译：基于改进萤火虫算法的分散风电场在不同负荷和随机风条件下的最优功率因数调节

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Aiming at the instability of voltage and large network loss of dispersed wind farms (DWFs) integration into distribution network (DN), an optimal power factor regulation method based on improved firefly algorithm is proposed. Firstly, the generalized load model based on the static voltage characteristics is analyzed. Then reactive power capabilities of DWFs arc thoroughly discussed and the influences of DWFs with variable power factor on network loss and voltage profile are presented. In order to reduce network loss and enhance power quality, optimal power factor regulation of DWFs based on improved firefly algorithm (IFA) is proposed. Finally, results of the benchmark IEEE-33 node system show the feasibilities and validities of the proposed method and the superiorities of proposed IFA are revealed by comparison with the existing algorithms.

机译：针对电压不稳定性和分散风电场（DWFs）并入配电网（DN）的网络损耗大的问题，提出了一种基于改进萤火虫算法的最优功率因数调节方法。首先，分析了基于静态电压特性的广义负载模型。然后详细讨论了DWF的无功功率能力，并提出了功率因数可变的DWF对网络损耗和电压曲线的影响。为了减少网络损耗，提高电能质量，提出了基于改进萤火虫算法（IFA）的DWF最优功率因数调节方法。最后，基准IEEE-33节点系统的结果表明了该方法的可行性和有效性，并与现有算法进行了比较，揭示了IFA的优越性。

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《Mathematical Problems in Engineering》 |2018年第12期|6203278.1-6203278.11|共11页
作者
Liu Hao; Wang Wei; Cui Jia; Tang Fen;
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Beijing Jiaotong Univ Natl Act Distribut Network Technol Res Ctr Beijing 100044 Peoples R China;

Shenyang Univ Technol Sch Elect Engn Shenyang 110870 Liaoning Peoples R China;

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1. Optimal Power Factor Regulation of Dispersed Wind Farms under Diverse Load and Stochastic Wind Conditions Based on Improved Firefly Algorithm [J] . Hao Liu, Wei Wang, Jia Cui, Mathematical Problems in Engineering: Theory, Methods and Applications . 2018,第3期

机译：基于改进萤火虫算法的分散风电场在不同负荷和随机风条件下的最优功率因数调节
2. Firefly Algorithm Based Multi-Objective Optimal Power Flow in the Presence of Wind Power [J] . M.G. Sugirtha, P. Latha Asian Journal of Information Technology . 2016,第4期

机译：风电存在下基于萤火虫算法的多目标最优潮流
3. Optimal VAR Control Considering Wind Farms Using Probabilistic Load-Flow and Gray-Based Genetic Algorithms [J] . Ying-Yi Hong, Yi-Feng Luo Power Delivery, IEEE Transactions on . 2009,第3期

机译：基于概率潮流和灰色遗传算法的风电场最优VAR控制
4. The application of firefly algorithm based on clustering in the dispatching of electric power system containing wind power farm [C] . Bin Jiao, Yang Li World multi-conference on systemics, cybernetics and informatics . 2016

机译：基于聚类的萤火虫算法在含风电场的电力系统调度中的应用
5. Capacity credit for multiple wind farms and dynamic programming based optimal power flow for wind turbines with various designs. [D] . Zhang, Yi. 2009

机译：具有多个设计的风力涡轮机的容量信用以及基于动态规划的最佳风力发电机组功率。
6. Optimal SSSC-based power damping inter-area oscillations using firefly and harmony search algorithms [O] . Amirreza Naderipour, Zulkurnain Abdul-Malek, Vigna K. Ramachandaramurthy, -1

机译：使用萤火虫和和声搜索算法的基于SSSC的最优功率阻尼区域间振荡
7. Optimal Power Factor Regulation of Dispersed Wind Farms under Diverse Load and Stochastic Wind Conditions Based on Improved Firefly Algorithm [O] . Hao Liu, Wei Wang, Jia Cui, 2018

机译：基于改进萤火虫算法的多种负荷和随机风条件下分散风电场的最优功率因子调节

Optimal Power Factor Regulation of Dispersed Wind Farms under Diverse Load and Stochastic Wind Conditions Based on Improved Firefly Algorithm

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