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作 者:赵东来 牛东晓[1] 杨尚东 梁才[3] ZHAO Donglai;NIU Dongxiao;YANG Sangdong;LIANG Cai(School of Economics and Management, North China Electric Power University, Beijing 102206, China;Institute of Urban Energy Strategy and Planning, State Grid(Suzhou) Energy Research Institute, Suzhou 215000, China;Institute of Enterprise Strategies, State Grid Energy Research Institute, Beijing 102209, China)
机构地区:[1]华北电力大学经济管理学院,北京102206 [2]国网(苏州)城市能源研究院城市能源战略与规划研究所,江苏苏州215000 [3]国网能源研究院企业战略研究所,北京102209
出 处:《中南大学学报(自然科学版)》2019年第4期998-1004,共7页Journal of Central South University:Science and Technology
基 金:国家重点研发计划项目(2016YFB0901104);国家自然科学基金资助项目(51307051);中央高校基本科研业务费专项资金资助项目(2014ZP03;2015ZD01)~~
摘 要:在对海上风电场功率汇集系统进行分析的基础上,建立数学模型对其经济性和可靠性进行综合评估,提出基于改进单亲遗传算法的海上风电场功率汇集系统拓扑结构优化模型。对包含多个海上变电站的大型海上风电场提出基于范式距离最优的区域划分方法。研究结果表明:所提出的模型可以在统筹优化经济性和可靠性的同时快速获得拓扑连接优化结果,与传统的遗传算法相比收敛速度更快,优化结果更好;通过对海上风电场经济性和可靠性的权重赋值,还可得到不同权重下的拓扑结构优化结果,从而为大型海上风电场建设中的功率汇集系统拓扑优化提供参考。Based on the analysis of the power collection system of offshore wind farm, a mathematical model was established to evaluate its economy and reliability, and a topology optimization mode of the power collection system of offshore wind farm was proposed based on the improved single parents genetic algorithm. For large offshore wind farms that contain multiple offshore substations, the optimal regional division method was also proposed based on the paradigm distance. The results show that the proposed model can consider the optimization of economy and reliability in overall rapidly and the topology optimization results can be obtained. Compared with the traditional genetic algorithm, the rate of convergence is faster and the optimization results are better. Through the weight assignment of the economy and reliability of offshore wind farm, the topology optimization results can also be obtained with different weights, which can provide reference for the design of large-scale photovoltaic power station of power collection system topology.
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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