• 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
考虑分时电价时段划分的微电网优化配置
Optimal planning of microgrid considering time division of TOU
Received:January 14, 2019  Revised:January 14, 2019
DOI:10.19753/j.issn1001-1390.2020.11.009
中文关键词: 时段划分  分时电价  协同规划  微网  投资收益
英文关键词: time  division, time-of-use, coordinated  planning, micro-grid, investment  returns
基金项目:
Author NameAffiliationE-mail
Wu Yong College of Electrical Engineering and Information Technology, Sichuan University 1004809153@qq.com 
Lv Lin College of Electrical Engineering and Information Technology, Sichuan University lvlin@scu.edu.cn 
Xu Lixiong* College of Electrical Engineering and Information Technology, Sichuan University xulixiong@163.com 
He Shuaijia College of Electrical Engineering and Information Technology, Sichuan University 1825322276@qq.com 
Liu Jinyuan College of Electrical Engineering and Information Technology, Sichuan University 342591066@qq.com 
Li Jianhua College of Electrical Engineering and Information Technology, Sichuan University 943209834@qq.com 
Hits: 1606
Download times: 491
中文摘要:
      微网中安装光伏、风机等新能源之后,会完全改变微网的净负荷,在原有的时段划分下采用分时电价可能进一步恶化微网净负荷曲线,针对这种现象,考虑将分时电价时段划分纳入微网规划阶段,构建微网协同规划与时段划分双层模型,上层以微网寿命期内收益净现值最高为目标,协同规划电源容量和电价,下层采用Pairs Sum模型对上层得到的净负荷值进行时段划分,运用非线性规划工具分别求解双层模型,在算例中引入常规规划方案,验证了该模型的有效性。通过在微网规划阶段考虑分时电价时段划分,可以实现微网总收益最大的目标。算例还深入探讨了微网总收益与峰谷电价比上限约束、弃电惩罚价格之间的关系。
英文摘要:
      After installing new energy sources such as photovoltaic and wind turbines in microgrid, the net load of microgrid will be changed completely. It is possible to further deteriorate the net load curve of microgrid by adopting time-of-use under the original time division. Considering this phenomenon, the time-of-use period is divided into the planning stage of microgrid, a two-tier model of coordinated planning and time-division of microgrid is constructed. The upper level aims to maximize the NPV of revenue in the lifetime of microgrid, and coordinates the planning of power supply capacity and time-of-use price. Pairs Sum model is used in the lower level to divide the time period of the net load value obtained by the upper level. The two-level model is solved by using non-linear programming tools. The conventional programming scheme is introduced into the example to verify the effectiveness of the model. The goal of maximizing the total revenue of microgrid can be achieved by considering the time division of time-of-use in the planning stage of microgrid. The relationship between the total revenue of microgrid, peak-valley price ratio constraints and power abandonment penalties is also discussed.
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