.png){kind=icon}
返回
Consensus-Based Distributed Economic Dispatch Control Method in Power Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TSG.2017.2756041.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper introduces a new consensus-based control scheme for distributed power systems to solve the distributed economic dispatch (DED) problem. With the development of renewable energy, smart grid, and microgrid, more and more distributed generators will be connected to power systems. Thus the distributed control schemes become more and more important for power systems to control and manage the distributed equipment. Therefore, some consensus-based methods arc published previously to solve the DED problem. But the challenge to apply the consensus-based method is to meet the power balance constraint without the centralized facility, since the value of power mismatch is hard to be obtained for a distributed control system. To solve the problem, this paper proposes the method to combine the frequency control methods with the consensus protocol from graph theory to develop the DED control method, so that the real power between the load and the generation can be balanced during the economic dispatch. With this method, a totally distributed optimal control scheme is obtained. The PI frequency controller and neural network frequency controller are employed to develop the DED control method. Then the communication failure problem is considered in this paper. The robust DED control method is proposed to improve the robustness of this distributed control method, allowing the system to stay at the optimal dispatching even if the communication is failed. In addition, the model of transmission line losses is incorporated in the DED problem to reduce the line losses. Finally, several case studies are given in this paper to verify the proposed method.
Keyword:
Consensus protocol
economic dispatch
graph theory
distributed network
neural network
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.8
论文数:
5.9K
被引数:
4.7W
机构
引用论文
.png){kind=icon}
Development of Knowledge of Unity of Tuberculosis and of the Portals of Entry of Tubercle Bacilli
PREAI
分享收藏SWOG0919: a Phase 2 study of idarubicin and cytarabine in combination with pravastatin for relapsed acute myeloid leukaemiaSWOG0919: 伊达比星和阿糖胞苷联合普伐他汀治疗复发性急性髓系白血病的2期研究
OAAI
OAAI分享收藏Particle swarm optimization to solving the economic dispatch considering the generator constraintsOAAI
OAAI分享收藏分享收藏
查看更多内容