Microgrid black-start considering DG startup sequence and load restoration optimization

被引：0
|
作者：
Liu Z. [1 ]
Mu L. [1 ]
Xu X. [1 ]
机构：
[1] Department of Electrical Engineering, Tongji University, Shanghai
来源：
| 2016年 / Electric Power Automation Equipment Press卷 / 36期
基金：
中国国家自然科学基金;
关键词：
Black-start; Distributed power generation; Load restoration; Microgrid; MOPSO algorithm; Startup sequence;
D O I：
10.16081/j.issn.1006-6047.2016.03.008
中图分类号：
学科分类号：
摘要：
The restoration scheme of DG (Distributed Generation) plays an important role in the successful black-start of islanded microgrid after a large-area blackout. The optimization of DG startup sequence and the optimization of load restoration during the startup are studied. The black-start ability is assessed for different DG types according to their characteristics and a DG startup optimization model with the maximum energy generated by DGs and the greatest importance degree of their loads as its multiple objectives is then established. The DG restoration sequence is divided into several steps and the MOPSO (Multi-Objective Particle Swarm Optimization) algorithm is applied to solve the optimization model for each step. The optimal DG startup scheme is then selected and its optimal restoration path is searched. A single-objective optimization model is established for the load restoration and the MBPSO (Modified Binary Particle Swarm Optimization) algorithm is applied to solve the model for each step of DG restoration sequence. The effectiveness of the proposed scheme is verified by the results of case analysis. © 2016, Electric Power Automation Equipment Press. All right reserved.
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页码：46 / 52
页数：6
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