摘要
分布式电源的配置方案会对配电网的可靠性和经济性产生重要影响。针对该问题,文章建立了以有功网损最小为目标的数学模型,在传统的节点电压、支路电流和容量约束的基础上增加了继电保护的约束,将其以限制短路电流大小而使保护装置不误动的形式呈现出来。同时,采用自适应遗传算法对分布式电源的选址定容进行优化。最后,通过对IEEE33节点模型进行仿真计算验证分布式电源配置过程中计及保护约束的必要性以及自适应遗传算法更好的收敛性和适应性。
The configuration scheme for distributed generation has an impo~'tant effect on the reliability and economy of distribution network. Aiming at this problem, a mathematical model is founded in this paper, whose target is the mini- mum active power loss. Besides normal constraints such as the node voltage, the node current and the capacity, the maximum short-current level limit is also taken into account, which is a key to ensure that the protection device dose not present in the form of malfunction. Meanwhile, in order to solve the slow convergence and local optimization prob- lem of genetic algorithms, the adaptive genetic algorithm (AGA) is used to optimize the location and sizing of the dis- tributed generation. The necessity for considering relay protection constraint as well as the better convergence and ad- aptation for AGA are eventually verified by the simulation of IEEE33 bus system example.
出处
《电测与仪表》
北大核心
2017年第8期9-13,27,共6页
Electrical Measurement & Instrumentation
关键词
分布式电源
短路电流约束
继电保护
自适应遗传算法
选址定容
distributed generation, short-current level limit, relay protection, adaptive genetic algorithm (AGA) , location and sizing