基于LQ-GSA的独立型微网容量优化配置

独立型微网容量优化配置是微网规划建设中的重要环节,文中提出一种基于莱维飞行的量子引力搜索算法(LQ-GSA)对独立型微网系统中的风力发电、光伏发电和蓄电池容量进行优化配置。在保证系统供电可靠性和新能源消纳的基础上,建立以平准化能源成本为优化目标的独立型微网容量优化配置模型,通过引入收缩扩张系数动态调整策略和莱维飞行改进量子引力搜索算法以增强算法的全局寻优能力。利用文中所建立的模型进行仿真分析,并与其他万有引力搜索算法和粒子群算法结果比较,算例结果表明所提算法具有较高的求解精度和稳定性,能够保证独立微网系统的经济可靠运行。

Optimal sizing for stand-alone microgrid based on LQ-GSA algorithm

The optimal allocation of independent microgrid capacity is an important link in the planning and construction of microgrid.This paper presents a new quantum inspired gravitational search algorithm based on levy flight for independent microgrid systems including wind power generation, photovoltaic power generation and battery.On the basis of ensuring the reliability of power supply and the consumption of new energy, a model for optimizing the capacity of independent microgrid was established.The global optimization ability of the quantum gravity search algorithm was enhanced by introducing the dynamic adjustment strategy of contraction and expansion coefficient and levy flight.The model proposed in this paper is used for simulation analysis, and compared with the results of other gravitation search algorithms and particle swarm optimization algorithms, the results show that the proposed algorithm has high solution accuracy and stability, and can ensure the economic and reliable operation of the independent microgrid system.