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乌鲁木齐地区风光互补发电系统优化研究

乌鲁木齐地区风光互补发电系统优化研究

Study on the Optimization of Wind-Solar Hybrid Power Generation System in Urumqi Area

Study on the Optimization of Wind-Solar Hybrid Power Generation System in Urumqi Area

doi:
10.3969/j.issn.0559-9342.2018.03.023
摘要:
风光互补发电系统的设计和运行需要考虑地理位置、气象条件、设备特性和负载要求等因素.目标是合理配置各组件,充分利用两者的互补性,达到提高系统运行可靠性和经济性的目的.本文对乌鲁木齐地区风光互补发电系统进行了优化研究,首先利用气象观测数据分析风能资源和太阳能资源状况,然后根据风力发电机和光伏电池的功率特性分别建立能量输出模型,最后根据最优化理论建立风光互补发电系统优化设计的数学模型,并利用遗传算法进行了求解分析.结果表明本文提出的优化方法具有一定的合理性.
Abstract:
The design and operation of wind-solar hybrid power generation system need to consider such factors as geographical location,meteorological conditions,equipment characteristics and load requirements.The goal is to rationally configure each component and make full use of their complementarity so as to improve the reliability and economy of system.The optimization of wind-solar power hybrid generation system in Urumqi area is studied,in which,the meteorological observation data is firstly used to analyze wind energy and solar energy resources,then the energy output models are established according to the power characteristics of wind power and PV cell respectively,and finally a mathematical model for the optimization design of windsolar hybrid power generation system is established according to optimization theory.The optimization model is solved by using genetic algorithm.The results show that the proposed optimization method is reasonable.
作者 樊小朝 [1] 史瑞静 [2] 王维庆 [2] 李永东 [3]
Author: FAN Xiaochao[1] SHI Ruijing[2] WANG Weiqing[2] LI Yongdong[3]
作者单位
  1. 新疆大学电气工程学院,新疆 乌鲁木齐830047;清华大学电力系统国家重点实验室,北京100084
  2. 新疆大学电气工程学院,新疆 乌鲁木齐,830047
  3. 清华大学电力系统国家重点实验室,北京,100084
期 刊: 水力发电 ISTIC EI SCI PKU CSSCI
Journal: Water Power
年,卷(期) 2018, 44(3)
分类号 TK83
关键词: 风光互补发电系统 知识脉络 优化设计 知识脉络 遗传算法 知识脉络
Keywords: wind-solar hybrid power generation system optimization design genetic algorithm
机标分类号
基金项目 新疆自然科学基金项目
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