標題: Ice Storage Air-Conditioning System Simulation with Dynamic Electricity Pricing: A Demand Response Study
作者: Lo, Chi-Chun
Tsai, Shang-Ho
Lin, Bor-Shyh
影像與生醫光電研究所
電控工程研究所
Institute of Imaging and Biomedical Photonics
Institute of Electrical and Control Engineering
關鍵字: ice storage system;air-conditioning system;dynamic electricity price;demand response;bee swarm optimization
公開日期: 1-Feb-2016
摘要: This paper presents an optimal dispatch model of an ice storage air-conditioning system for participants to quickly and accurately perform energy saving and demand response, and to avoid the over contact with electricity price peak. The schedule planning for an ice storage air-conditioning system of demand response is mainly to transfer energy consumption from the peak load to the partial-peak or off-peak load. Least Squares Regression (LSR) is used to obtain the polynomial function for the cooling capacity and the cost of power consumption with a real ice storage air-conditioning system. Based on the dynamic electricity pricing, the requirements of cooling loads, and all technical constraints, the dispatch model of the ice-storage air-conditioning system is formulated to minimize the operation cost. The Improved Ripple Bee Swarm Optimization (IRBSO) algorithm is proposed to solve the dispatch model of the ice storage air-conditioning system in a daily schedule on summer. Simulation results indicate that reasonable solutions provide a practical and flexible framework allowing the demand response of ice storage air-conditioning systems to demonstrate the optimization of its energy savings and operational efficiency and offering greater energy efficiency.
URI: http://dx.doi.org/10.3390/en9020113
http://hdl.handle.net/11536/133532
ISSN: 1996-1073
DOI: 10.3390/en9020113
期刊: ENERGIES
Volume: 9
Issue: 2
起始頁: 0
結束頁: 0
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