基于改进烟花算法的虚拟惯量配置策略
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摘要
针对分布式能源高渗透下电网的虚拟惯量资源有效利用的问题,提出改进烟花算法对虚拟惯量进行配置。建立虚拟惯量配置评价模型,在烟花算法粒子选取时,引入向量优化域来定向选取最优域内的粒子。通过双系统模型仿真验证,与传统烟花算法相比,改进烟花算法的寻优性能更好,结果更精确。
In view of the effective utilization of virtual inertia resources in power grids with high energy penetration,an improved fireworks algorithm was proposed to configure virtual inertia. The virtual inertia configuration evaluation model was established. When the particle size of the fireworks algorithm was selected,a vector optimization domain was introduced to orient the particles in the optimal domain. Through simulation,compared with the traditional fireworks algorithm,the improved fireworks algorithm has better optimization performance and more accurate results.
In view of the effective utilization of virtual inertia resources in power grids with high energy penetration,an improved fireworks algorithm was proposed to configure virtual inertia. The virtual inertia configuration evaluation model was established. When the particle size of the fireworks algorithm was selected,a vector optimization domain was introduced to orient the particles in the optimal domain. Through simulation,compared with the traditional fireworks algorithm,the improved fireworks algorithm has better optimization performance and more accurate results.
引文
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3张祥宇,杨黎,朱晓荣,等.光储发电系统的虚拟转动惯量控制[J].电力自动化设备,2017,37(9):109-115Zhang Xiangyu,Yang Li,Zhu Xiaorong,et al.Virtual rotational inertia control of PV generation system with energy storage devices[J].Electric Power Automation Equipment,2017,37(9):109-115
4程冲,杨欢,曾正,等.虚拟同步发电机的转子惯量自适应控制方法[J].电力系统自动化,2015,39(19):82-89Cheng Chong,Yang Huan,Zeng Zheng,et al.Rotorinertia adaptive control method of VSG[J].Automation of Electric Power Systems,2015,39(19):82-89
5贾红.烟花爆炸优化算法及其改进研究[D].武汉:华中科技大学,2010Jia Hong.Researches on fireworks explosion optimization algorithem and its improvement[D].Wuhan:Huazhong University of Science&Technology,2010
6朱启兵,王震宇,黄敏.带有引力搜索算子的烟花算法[J].控制与决策,2016,31(10):1853-1859Zhu Qibing,Wang Zhenyu,Huang Min.Fireworks algorithm with gravitational search operator[J].Control and Decisionn,2016,31(10):1853-1859
7谭营.烟花算法引论[M].北京:科学出版社,2015Tan Ying.Introduction to fireworks algorithm[M].Beijing:Science Press,2015
8方柳平,汪继文,邱剑锋,等.具有学习因子的动态搜索烟花算法[J].计算机科学与探索,2017,11(3):491-501Fang Liuping,Wang Jiwen,Qiu Jianfeng,et al.Dynamic search fireworks algorithm with learning factor[J].Journal of Frontiers of Computer Science and Technology,2017,11(3):491-501
9张波,颜湘武,黄毅斌,等.虚拟同步机多机并联稳定控制及其惯量匹配方法[J].电工技术学报,2017,32(10):42-52Zhang Bo,Yan Xiangwu,Huang Yibin,et al.Stability control and inertia matching method of multi-parallel virtual synchronous generators[J].Transactions of China Electrotechnical Society,2017,32(10):42-52
10 GuggilamS S,Zhao C,Dall'Anese E,et al.Optimizing DER participation in inertial and primary-frequency response[J].IEEE Transactions on Power Systems.2018,33(5):5194-5205
11 Borsche T S,Liu T,Hill D J.Effects of rotational inertia on power system damping and frequency transients[C]//54th IEEE Conference on Decision and Control(CDC).Osaka:Institute of Electrical and Electronics Engineers,2015:5940-5946
12 Huang W,Sun K,Qi J,et al.Optimal allocation of dynamic var sources using the voronoi diagram method integrating linear programing[J].IEEE Transactions on Power Systems,2017,32(6):4644-4655
13 Sj9din E,Bamieh B,Gayme D F.The price of synchrony:Evaluatingthe resistive losses in synchronizing power networks[J].IEEETransactions on Control of Network Systems,2015,2(3):254-266