Hybrid wind-photovoltaic-diesel-battery system sizing tool development using empirical approach, life-cycle cost and performance analysis: A case study in Scotland

被引:110
|
作者
Gan, Leong Kit [1 ]
Shek, Jonathan K. H. [1 ]
Mueller, Markus A. [1 ]
机构
[1] Univ Edinburgh, Sch Engn, Inst Energy Syst, Edinburgh EH9 3DW, Midlothian, Scotland
关键词
Hybrid wind-photovoltaic-diesel-battery system; Off-grid; Standalone; Isolated; Optimum sizing; Energy cost; Renewable energy; Modelling; TECHNOECONOMIC ANALYSIS; POWER; OPTIMIZATION; DESIGN;
D O I
10.1016/j.enconman.2015.09.029
中图分类号
O414.1 [热力学];
学科分类号
摘要
The concept of off-grid hybrid wind energy system is financially attractive and more reliable than standalone power systems since it is based on more than one electricity generation source. One of the most expensive components in a stand-alone wind-power system is the energy storage system as very often it is oversized to increase system autonomy. In this work, we consider a hybrid system which consists of wind turbines, photovoltaic panels, diesel generator and battery storage. One of the main challenges experienced by project managers is the sizing of components for different sites. This challenge is due to the variability of the renewable energy resource and the load demand for different sites. This paper introduces a sizing model that has been developed and implemented as a graphical user interface, which predicts the optimum configuration of a hybrid system. In particular, this paper focuses on seeking the optimal size of the batteries and the diesel generator usage. Both of these components are seen to be trade-offs from each other. The model simulates real time operation of the hybrid system, using the annual measured hourly wind speed and solar irradiation. The benefit of using time series approach is that it reflects a more realistic situation; here, the peaks and troughs of the renewable energy resource are a central part of the sizing model. Finally, load sensitivity and hybrid system performance analysis are demonstrated. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:479 / 494
页数:16
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