• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于改进粒子群算法的风光蓄互补发电系统容量优化
Capacity optimization of hybrid wind-solar-battery power system based on improved particle swarm optimization
Received:November 29, 2016  Revised:November 29, 2016
DOI:
中文关键词: 风光蓄互补发电系统  粒子群算法  容量优化  成本
英文关键词: hybrid wind-solar-battery power system, particle swarm optimization, capacity optimization, cost
基金项目:国家自然科学基金资助项目(71263043);宁夏自治区自然科学基金资助项目(NZ12140);
Author NameAffiliationE-mail
tanghao Ningxia University 757986177@qq.com 
yangguohua* Ningxia University ghyangchina@126.com 
wangpengzhen Ningxia University 1543987185@qq.com 
lirui Ningxia University 757986177@qq.com 
zhanglina Ningxia University 641677568@qq.com 
wangjinmei Ningxia University 757986177@qq.com 
Hits: 2826
Download times: 764
中文摘要:
      合理配置风光蓄互补发电系统的容量,不仅能够利用风能和太阳能的互补特性减少能量的浪费,而且能够降低系统成本,提高系统供电可靠性。针对风光蓄互补发电系统提出了一种基于改进粒子群算法的容量优化方法。首先,按照全生命周期考虑搭建了系统成本的计算模型;其次,以成本最少为目标,负荷缺电率和能量浪费率等指标作为约束条件,采用非线性动态改进惯性权重策略对粒子群算法进行改进;然后对系统容量进行优化配置。最后在MATLAB中对算例进行仿真计算。结果表明,算法改进后得到的容量配置方案不仅降低了系统成本而且减少了能量浪费率。
英文摘要:
      Reasonable deploy the electric capacity of hybrid wind-solar-battery power system can reduce the energy waste and down-regulate the system cost as well as improve the reliability of power supply through utilizing the complementary characteristic of wind-solar. A capacity optimization method is realized based on the amelioration of particle swarm optimization for hybrid wind-solar-battery power system. Above all, established the calculation model of system costs according to the consideration of whole life cycle, and ameliorated the particle swarm optimization utilizing nonlinear dynamic improved inertial weight strategy in the limiting indexes of low cost, low loss of load probability and low energy wastage rate.Then made optimized configuration of system capacity and finished the simulation calculation of examples in MATLAB. The results show that this configuration scheme of capacity after improve the arithmetic can reduce the system cost and decrease the loss of load probability.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd