Optimization Control of Ice Storage Air-conditioning System

被引：1

作者：

Wu, Ting ^{[1
]}

Wu, Gang ^{[1
]}

Bao, Zhejing ^{[1
]}

Yan, Wenjun ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China

来源：

ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3 | 2013年 / 655-657卷

关键词：

Ice Storage Air-conditioning System; Improved Particle Swarm Optimization Algorithm; Chiller-priority; Ice-storage-priority;

D O I：

10.4028/www.scientific.net/AMR.655-657.1492

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Ice storage air-conditioning system can bring benefits to power supplier and consumers for its advantage of shifting power consumption at peak hours during day to the off-peak hours at night. In this paper, we adopted an improved particle swarm optimization algorithm to develop an optimal control strategy for ice storage air-conditioning system with the aim of minimizing operation cost subject to various operational constrains. Comparing with the usual chiller-priority and ice-storage-priority control strategy, the proposed control scheme can not only meet the building cooling load but also achieve the minimum operation cost.

引用

页码：1492 / 1495

页数：4

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