考虑电压骤降的分布式电源定容和选址  

Reasonable Allocation of Distributed Generation in Distribution System Considering Voltage Sag

作　　者：陈家俊[1] 蒋铁铮[1] 周勇[1] 李渊博[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南省长沙市410004

出　　处：《电网技术》2014年第8期2244-2249,共6页Power System Technology

摘　　要：首先对电压骤降和电压凹陷域进行分析,采用故障点法和临界距离法结合的方法分析电压凹陷域,在此基础上,合理评估电压骤降的经济损失。并建立了含分布式电源投资成本最小和电压骤降经济损失最小的多目标优化数学模型,鉴于传统萤火虫算法具有容易早熟、收敛速度慢、过度依赖控制参数的缺陷,将混沌搜索策略融入到萤火虫算法,提出了一种改进型多目标萤火虫算法;为克服算法对控制参数依赖性较强缺陷,利用混沌理论的随机性、遍历性及其规律性特性,对萤火虫算法的参数进行调整。并将其用在解决分布式电源的多目标优化配置中。通过算例验证所提算法具有良好的适应性。Firstly the voltage sag and the voltage sag region are analyzed by the combination of fault location method with critical distance method and on this basis the economic loss due to voltage sag is reasonably evaluated. A multi-objective optimization model, in which the minimized investment cost of distributed generation（DG） and minimized economic loss due to voltage sag are included, is established. In view of such defects as prematurity, slow convergence speed and over-dependent on control parameters in traditional firefly algorithm, the integrating chaotic search strategy with firefly algorithm an improved multi-objective firefly algorithm is put forward. To overcome the defect of over-dependent on control parameter, using such properties of chaos theory as randomness, ergodicity and regularity, the parameters of the firefly algorithm is adjusted and applied in the multi-objective optimal allocation of DG. Case study results show that the proposed algorithm possesses good adaptability.

关 键 词：电压骤降 凹陷域 改进萤火虫算法 多目标优化 

分 类 号：TM721[电气工程—电力系统及自动化]