中国电机工程学报Issue(17)：4397-4407,11.DOI:10.13334/j.0258-8013.pcsee.2015.17.014
基于离散一致性的孤立直流微网自适应下垂控制
An Adaptive Droop Control for the Islanded DC Microgrid Based on Discrete Consensus Algorithm
摘要
Abstract
Conventional droop control based on constant virtual resistance has limitations on the application of load-sharing of isolated DC microgrid, due to the unbalanced distribution of the line impedance. In this paper, a distributed adaptive droop control strategy based on discrete consensus was proposed, an average voltage of grid was evaluated and an objective virtual resistance fulfilling above requirement was dynamically calculated by local controllers, which would communicate with its neighbors using voltage and current information within the synchronized clock, then the adaptive droop control based on variable virtual resistance was applied. Because of having no central controller, the robustness and flexibility of the control is increased significantly. A DC microgrid model including PV system, fuel cells, energy storage batteries, constant power loads was built based on the Matlab/Simulink, and JADE (Java agent development framework) was used to develop distributed algorithm and communication protocol, then the effectiveness of the control strategy was verified based on simulation. The influence of communication delay was analyzed, and some proposals were proposed to decrease the influence. In order to verify the ‘plug and play’ capability, a scheme of self-organization was designed and simulated.关键词
直流下垂控制/全网平均电压/目标虚拟电阻/离散一致性算法/通信延时/自组织投退Key words
DC droop control/networked average voltage/objective virtual resistance/discrete consensus algorithm/communication delay/self-organization分类
信息技术与安全科学引用本文复制引用
吕振宇,吴在军,窦晓波,胡敏强,赵波..基于离散一致性的孤立直流微网自适应下垂控制[J].中国电机工程学报,2015,(17):4397-4407,11.基金项目
国家自然科学基金(51177015)；新世纪优秀人才支持计划(NCET-13-0129)；国家电网公司项目(5211011400AX)。Project Supported by National Natural Science Foundation of China (51177015) （51177015）
Program for New Century Excellent Talents in University (NCET-13-0129) （NCET-13-0129）
The State Grid Corporation Project (5211011400AX) （5211011400AX）
