TY - JOUR
T1 - Stochastic analysis of residential micro combined heat and power system
AU - Karami, H.
AU - Sanjari, M. J.
AU - Gooi, H. B.
AU - Gharehpetian, Gevork B. GHAREHPETIAN
AU - Guerrero, J. M.
PY - 2017/4/15
Y1 - 2017/4/15
N2 - In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.
AB - In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.
KW - Combined heat and power (CHP)
KW - Hybrid energy system (HES)
KW - Load demand uncertainty
KW - Monte Carlo simulation (MCS)
KW - Optimal scheduling
KW - Residential load sector
KW - Stochastic load
KW - Stochastic programming
KW - Time of use (TOU)
UR - http://www.scopus.com/inward/record.url?scp=85012202995&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2017.01.073
DO - 10.1016/j.enconman.2017.01.073
M3 - Journal article
AN - SCOPUS:85012202995
SN - 0196-8904
VL - 138
SP - 190
EP - 198
JO - Energy Conversion and Management
JF - Energy Conversion and Management
ER -