Multi-Objective Air-Conditioning Control Considering Fuzzy Parameters Using Immune Clonal Selection Programming

被引：86

作者：

Hong, Ying-Yi ^{[1
]}

Lin, Jie-Kai ^{[1
]}

Wu, Ching-Ping ^{[1
]}

Chuang, Chi-Cheng ^{[2
]}

机构：

[1] Chung Yuan Christian Univ, Dept Elect Engn, Chungli 320, Taiwan

[2] Inst Informat Ind, Taipei 106, Taiwan

来源：

IEEE TRANSACTIONS ON SMART GRID | 2012年 / 3卷 / 04期

关键词：

Day-ahead pricing; demand response; fuzzy set theory; immune programming; smart home; ELECTRICITY MARKETS;

D O I：

10.1109/TSG.2012.2210059

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Smart home integrates disaster protection, medical care, entertainment and energy-saving systems, making the living environment more secure and comfortable. This paper investigates the demand response achieved by the "smart energy management system" in a smart home environment, and aims to obtain the optimal temperature scheduling for air-conditioning according to the day-ahead electricity price and outdoor temperature forecasts. Because the retail electricity price and temperature are predicted 24 h in advance and there exists uncertainty, the predicted retail electricity prices and temperatures are modeled by the fuzzy set. The immune clonal selection programming is employed to determine the day-ahead 24-h temperature schedule for air-conditioning. The electricity expense is hence minimized while comfort is still retained. The simulation result shows the applicability of the proposed method.

引用

页码：1603 / 1610

页数：8

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