• 首页|关于本刊|编委阵容|投稿指南|审稿指南|订阅指南|征稿启事|诚邀专家|学术道德|English
  • E-mail:
  • 密 码: 
  •    
  • 用户名:
  • 密 码: 
  •    
最新录用 更多>>
李世泽,高素萍,郭朝江.混合储能多目标容量优化配置[J].电源学报,2018,16(4):174-180
混合储能多目标容量优化配置
Multi-objective Optimal Capacity Allocation of Hybrid Energy Storage
投稿时间:2016-10-20  修订日期:2018-03-05
DOI:10.13234/j.issn.2095-2805.2018.4.174
中文关键词:  混合储能  优化配置  粒子群算法  控制策略
英文关键词:hybrid energy storage  optimal allocation  particle swarm optimization algorithm  control strategy
基金项目:深圳市科创委知识创新计划资助项目(JCYJ20140718172055170)
作者单位E-mail
李世泽 哈尔滨工业大学深圳研究生院, 深圳 518055 lsz532652692@126.coml 
高素萍 深圳职业技术学院机电工程学院, 深圳 518055  
郭朝江 哈尔滨工业大学深圳研究生院, 深圳 518055  
摘要点击次数: 344
全文下载次数: 260
中文摘要:
      针对蓄电池和超级电容混合储能系统的容量配置,提出了混合储能系统多目标容量优化配置模型,该模型以经济成本、供电可靠性、能量过剩和供需平衡为目标,以蓄电池的SOC、超级电容的端电压和最大功率为约束,同时考虑能量控制策略的影响,应用改进粒子群优化算法同时对蓄电池和超级电容的容量和功率进行设计,并通过仿真验证了所提多目标容量配置算法的快速收敛性和可靠性。
英文摘要:
      In this paper, a multi-objective optimal capacity allocation model is proposed for the capacity allocation of hybrid energy storage system consisting of storage battery and super capacitor. In this model, the objectives include economic cost, reliability of power supply, energy surplus, and balance between supply and demand, while the constraints include the state-of-charge(SOC) of storage battery, terminal voltage of super capacitor, and maximum power; meanwhile, the impact of energy control strategy is also taken into account. The capacity and power of the storage battery and super capacitor are synchronously designed using the improved particle swarm optimization(PSO) algorithm. Moreo-ver, the fast convergence and reliability of the proposed multi-objective capacity allocation algorithm are verified through simulations.
查看全文  查看/发表评论  下载PDF阅读器
关闭