Stochastic analysis of residential micro combined heat and power system

被引：33
|
作者：
Karami, H. [1 ]
Sanjari, M. J. [2 ]
Gooi, H. B. [2 ]
Gharehpetian, G. B. [1 ]
Guerrero, J. M. [3 ]
机构：
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[3] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark
来源：
ENERGY CONVERSION AND MANAGEMENT | 2017年 / 138卷
基金：
新加坡国家研究基金会;
关键词：
Combined heat and power (CHP); Hybrid energy system (HES); Time of use (TOU); Monte Carlo simulation (MCS); Stochastic load; Optimal scheduling; Residential load sector; Load demand uncertainty; Stochastic programming; ENERGY SYSTEM; DISPATCH; ALGORITHM; PLANT; CHP;
D O I：
10.1016/j.enconman.2017.01.073
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
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. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：190 / 198
页数：9
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