首页> 外文会议>IEEE Conference on Energy Internet and Energy System Integration >Research on Energy-Storage Capacity Optimal Configuration Based on Scenario Analysis and Seven-spot Ladybird Optimization
【24h】

Research on Energy-Storage Capacity Optimal Configuration Based on Scenario Analysis and Seven-spot Ladybird Optimization

机译:基于情景分析的储能容量最优配置研究及七分瓢虫优化

获取原文

摘要

One of pivotal question in wind/photovoltaic /energy storage system is the optimal configuration of energy-storage capacity. Regarding this question, a method for configuring the power and capacity of a single energy storage medium is proposed in grid-connected system of renewable energy. Firstly, the models of wind power, photovoltaics and storage are built, respectively. And then it establishes the objective function of energy-storage capacity's optimal configuration to minimize the sum of the initial investment cost and operating cost of energy storage, and resolves it based on scenario analysis and seven-spot ladybird optimization (SLO). Finally, a large number of cases are analyzed based on combined power generation system of wind/photovoltaics /battery storage hybrid power system and the effectiveness of the energy storage configuration strategy and high efficiency of algorithm are demonstrated through results of simulation.
机译:风/光伏/能量存储系统中的关键问题之一是能量存储容量的最佳配置。关于该问题,提出了一种配置单个能量存储介质的功率和容量的方法,以在可再生能量的网络连接系统中提出。首先,分别建造了风力,光伏和存储的模型。然后它建立了能量存储容量最佳配置的客观函数,以最大限度地减少初始投资成本和储能成本的总和,并根据情景分析和七分瓢虫优化(SLO)来解决它。最后,基于风/光伏/电池存储混合动力系统的组合发电系统分析了大量情况,通过模拟结果证明了能量存储配置策略的有效性和高效率的算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号