船舶电力系统网络重构是一个多目标组合优化问题。针对船舶中压直流综合电力推进系统,建立其配电网络拓扑模型,设计改进的节点电势法对其配电网络进行潮流计算,研究其各支路故障情况下的线路电流与功率分布。根据负荷恢复量、稳定性及开关动作量,建立配电网络的故障重构模型。结合自适应权重法和杂交池算法,并设计“定向变异法”对粒子群算法予以改进,增强寻优速度及全域搜索能力,将其运用于配电网络的故障重构模型的求解。算例结果表明,利用该算法能更快速地获得更完备的重构方案,算法具有较强的寻优性能。
The network reconfiguration of power syetem is a question with muti-objective optimization.The topology model of the network of power distribution in the medium voltage propulsion power system on ships was established, to analyze the circuitry current and power distribution under the different circuit fault by designing improved point-voltage method used to calculate the power flow in the network of power distribution. The fault reconfiguration model of the network of power distribution was established according to restore load,stability and switching frequency. The PSO (particles swarm optimization) algorithm was improved by designing "directional variation method" combined with self-adaption algorithm and hybridization pool algorithm, to speed up the optimizing and enhance the searching ability of PSO. The improved PSO algorithm was used to solve the fault reconfiguration mo-del of the network of power distribution. The test results show that the proposed algorithm can provide more comprehensive restoration strategy faster, possessing better optimizing cap-ability.
2020,42(1): 116-122 收稿日期:2018-10-09
DOI:10.3404/j.issn.1672-7649.2020.01.023
分类号:TM711
基金项目:国家自然科学基金资助项目(51579047);黑龙江省自然科学基金(QC2017048);国防技术基础(JSHS2015604C002);哈尔滨市基金(2016RAQXJ077);毫米波国家重点实验室开放课题资助(K201707);中央高校基本科研资助项目
作者简介:刘胜(1957-),男,教授,研究方向为控制科学与工程、电气工程、系统分析与集成
参考文献:
[1] 孔祥楠. 船舶交流电力系统潮流计算研究[D]. 大连:大连海事大学, 2011.
[2] 楚玉华. 基于改进粒子群算法的船舶电力系统网络重构[D]. 镇江:江苏科技大学, 2016.
[3] 兰海, 鲍鹏, 王婉婷. 舰船中压直流综合电力推进系统设计及稳态分析研究[J]. 中国造船, 2017, 58(2):222-229
[4] 冀欣, 张晓峰. 基于节点电势法的舰船电力系统潮流计算方法[J]. 船海工程, 2007, 36(5):132-135
[5] 傅荟璇. 大型船舶电力系统网络拓补重构技术研究[D]. 哈尔滨:哈尔滨工程大学, 2006.
[6] DING Z, SRIVASTAVA S, CARTES D. Expert system based dynamic load shedding scheme for shipboard power systems[C]//IEEE Industry Applications Conference-Forty-First IAS Annual Meeting. Tampa, USA:IEEE, 2007:1338-1344.
[7] 庄劲武. 舰艇电力系统稳态参数计算方法的研究[J]. 海军工程大学学报, 2000, 20(5):20-24
[8] THUAN Thanh Nguyena, b, THANG Trung Nguyenc, ANH Viet Truonga, et al. Multi-objective electric distribution network reconfiguration solution using runner-root algorithm[J]. Applied Soft Computing, 2017, 52(10):93-108
[9] 张卫平, 关晓菡, 刘元超, 等. DC/DC变换器稳态建模的教学方法[J]. 电气电子教学学报, 2008, 30(5):101-104
[10] 傅旭, 王宏, 杨欣, 等. 考虑N_1静态电压稳定约束的电力系统负荷裕度新算法[J]. 陕西电力, 2016, 44(3):33-38
[11] EBERHART R C, KENNEDY J. Particles swarm optimization[C]//IEEE International Conference on Neural Network. Perth, Australia, IEEE, 1995:1942-1948.
[12] 张威, 施伟峰, 胡红钱. 船舶区域配电系统全智能体重构及其优化研究[J]. 电力系统保护与控制, 2016, 44(4):9-15
[13] 韩敏, 何冰, 郑丹晨. 基于参考点的高维多目标粒子群算法[J]. 控制与决策, 2017, 32(4):607-612
[14] 朱志宇, 郑晨阳. 基于混沌自适应差分进化算法的舰船电力系统网络重构[J]. 江苏科技大学学报(自然科学版), 2013, 27(2):154-158
[15] 龚纯, 王正林. 精通MATLAB最优化计算[M]. 北京:电子工业出版社, 2002.