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

Autor:	Chi-Cheng Chuang, Ching-Ping Wu, Ying-Yi Hong, Jie-Kai Lin
Rok vydání:	2012
Předmět:	Engineering Temperature control General Computer Science Operations research business.industry Fuzzy set Fuzzy control system Fuzzy logic Demand response Energy management system Electricity business Electricity retailing Simulation
Zdroj:	IEEE Transactions on Smart Grid. 3:1603-1610
ISSN:	1949-3061 1949-3053
DOI:	10.1109/tsg.2012.2210059
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::94981dd82ce9f2cc515bb0cc1de3110a https://doi.org/10.1109/tsg.2012.2210059 Zobrazit plný text záznamu