Micro Grid Scheduling Optimization Based on Quantum Particle Swarm Optimization (QPSO) Algorithm

被引：0

作者：

Chen, Meitong ^{[1
]}

Ruan, Jianan ^{[1
]}

Xi, Dongmin ^{[1
]}

机构：

[1] Inner Mongolia Univ Technol, Elect Power Coll, Hohhot 010080, Inner Mongolia, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

关键词：

Micro grid; Energy Management; Optimization; QPSO;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the optimization of micro grid energy scheduling is studied; an energy management model with the objective of minimizing the total cost is established. This paper consider the operation cost, fuel cost, environmental cost and purchase price of each generating unit, and then uses the quantum behaved particle swarm optimization (QPSO) algorithm to solve the optimization problem. Under the grid connected mode, the operating characteristics of micro grid in different seasons and optimal unit commitment scheme are obtained. The results show that the method and strategy are effective.

引用

页码：6470 / 6475

页数：6

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