Optimized Operation and Control of Microgrid based on Multi-objective Genetic Algorithm

被引：0
|
作者：
Wang, Ruiqi [1 ,3 ]
Wu, Shaojun [1 ,3 ]
Wang, Chao [1 ,3 ]
An, Shuhuai [1 ,3 ]
Sun, Zhenhai [1 ,3 ]
Li, Wensheng [1 ,3 ]
Xu, Wei [2 ,3 ]
Mu, Shiyou [2 ,3 ]
Fu, Mengchao [2 ,3 ]
机构：
[1] State Grid Qingdao Elect Power Co, Qingdao, Shandong, Peoples R China
[2] Shandong Luneng Intelligence Technol CO Ltd, Jinan, Shandong, Peoples R China
[3] State Grid Shandong Elect Power Co, Jinan, Shandong, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2018年
基金：
中国国家自然科学基金;
关键词：
Microgrid; Distributed Gnenration; optimized operation; power quality; hierarchical control;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The steady-state performance and power quality of microgrid is closely related to control parameters. this paper develops hierarchical control of microgrid, which consists of power control stage, voltage control stage and current control stage. This control schemes can simultaneously regulate fundamental voltage and harmonic current to improve the power qualtiy of microgrid. In order to enhance steady state control pricision, unbalance and harmonics eliminate ability of microgrid, the control paramters of hierarchical control are optimized by multi-objective genetic algorithm. The simulation results show that the optimized control algorithm can effectively optimize the microgrid operation on steady control accuracy and power quality.
引用
收藏
页码：1539 / 1544
页数：6
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