摘要
全面提升分布式能源利用率与消纳能力,同时改善用户体验,是主动配电网区域能源优化配置工作面临的新问题。为此,围绕环境、运行、经济3个方面,按照广义电源定容选址、可控负荷签约量以及电网运行3个层次,建立了考虑多源协同的主动配电网区域能源三层优化配置模型,并综合考虑遗传算法及混合蛙跳算法的优利用率最大化缺点,将精英的遗传变异策略、蛙群的分组与混合策略引入至改进人群搜索算法,避免算法陷入局部最优,加速收敛。以IEEE33节点配电系统为例进行相关的仿真计算及结果分析,证明了该优化配置方案在提升分布式能源利用效率及用户体验的同时,有效降低主动配电网的综合成本。
Comprehensively enhanceing the distributed energy utilization and user experience is a new problem in the optimal configuration of regional energy in active distribution network. Therefore, considering environment, operation and economy, an optimal configuration model of regional energy in active distribution network considering multi-source coordination was established from three levels of located and sized the generalized power sources, contract volume of the controllable load and power grid operation. Meanwhile, an improved seeker optimization algorithm integrating with the characteristic of genetic algorithm and shuffled frog-leaping algorithm was proposed to avoid local optimal and accelerate the convergence. Finally, taking the IEEE33 node distribution system as an example, the simulation results were analyzed. It is proved that the proposed scheme can not only improve the efficiency of distributed energy utilization and user experience, but also effectively reduce the comprehensive investment cost.
作者
周旺
江修波
刘丽军
ZHOU Wang;JIANG Xiubo;LIU Lijun(College of Electrical Engineering and Automation, Fuzhou University, Fuzhou,Fujian 350116, China)
出处
《闽江学院学报》
2019年第2期23-30,共8页
Journal of Minjiang University
基金
福建省中青年教师教育科研项目(JA14064)
关键词
主动配电网
三层优化配置
多源协同
改进人群搜索算法
active distribution network
tri-level optimalconfiguration
multi-source coordinated optimization
improvedseeker optimization algorithm