The Most Economical Mode of Power Supply for Remote and Less Developed Areas in China: Power Grid Extension or Micro-Grid?

被引:14
作者
Guo, Sen [1 ,2 ]
Zhao, Huiru [1 ,2 ]
Zhao, Haoran [1 ,2 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
power supply; economicalmode; levelized cost of electricity (LCOE); rural electrification; China; LEVELIZED COST; WIND POWER; DISTRIBUTED GENERATION; ENERGY LCOE; SOLAR PV; SYSTEM; ELECTRIFICATION; INTEGRATION; POLICY;
D O I
10.3390/su9060910
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There are still residents without access to electricity in some remote and less developed areas of China, which lead to low living standards and hinder sustainable development for these residents. In order to achieve the strategic targets of solving China's energy poverty, realizing basic energy service equalization, and comprehensively building up a moderately prosperous society, several policies have been successively promulgated in recent years, which aim to solve the electricity access issue for residents living in remote and less developed areas. It is of great importance to determine the most economical mode of power supply in remote and less developed areas, which directly affects the economic efficiency of public investment projects. Therefore, this paper focuses on how to select the most economical power supply mode for rural electrification in China. Firstly, the primary modes to supply electricity for residents living in the remote and less developed areas are discussed, which include power grid extension mode and micro-grid mode. Secondly, based on the levelized cost of electricity (LCOE) technique, the life cycle economic cost accounting model for different power supply modes are built. Finally, taking a minority nationality village in Yunnan province as an example, the empirical analysis is performed, and the LCOEs of various possible modes for rural electrification are accounted. The results show that the photovoltaic (PV)-based independent micro-grid system is the most economical due to the minimum LCOE, namely 0.658 RMB/kWh. However, other power supply modes have much higher LCOEs. The LCOEs of power grid extension model, wind-based independent micro-grid system and biomass-based independent micro-grid system are 1.078 RMB/kWh, 0.704 RMB/kWh and 0.885 RMB/kWh, respectively. The proposed approach is effective and practical, which can provide reference for rural electrification in China.
引用
收藏
页数:18
相关论文
共 51 条
[1]  
Alvarez D., 2004, EVALUATION IMPROVED
[2]   Overview of control and grid synchronization for distributed power generation systems [J].
Blaabjerg, Frede ;
Teodorescu, Remus ;
Liserre, Marco ;
Timbus, Adrian V. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2006, 53 (05) :1398-1409
[3]   A CAPITAL-ASSET PRICING MODEL WITH TIME-VARYING COVARIANCES [J].
BOLLERSLEV, T ;
ENGLE, RF ;
WOOLDRIDGE, JM .
JOURNAL OF POLITICAL ECONOMY, 1988, 96 (01) :116-131
[4]   Domestic distributed power generation: Effect of sizing and energy management strategy on the environmental efficiency of a photovoltaic-battery-fuel cell system [J].
Bruni, G. ;
Cordiner, S. ;
Mulone, V. .
ENERGY, 2014, 77 :133-143
[5]   The Levelized Cost of Energy (LCOE) of wave energy using GIS based analysis: The case study of Portugal [J].
Castro-Santos, Laura ;
Garcia, Geuffer Prado ;
Estanqueiro, Ana ;
Justin, Paulo A. P. S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 65 :21-25
[6]  
Driesen J., 2006, 2006 IEEE Power Engineering Society General Meeting
[7]   Discounted cash flow: accounting for uncertainty [J].
French, Nick ;
Gabrielli, Laura .
JOURNAL OF PROPERTY INVESTMENT & FINANCE, 2005, 23 (01) :76-+
[8]   Significant Factors Influencing Rural Residents' Well-Being with Regard to Electricity Consumption: An Empirical Analysis in China [J].
Guo, Sen ;
Zhao, Huiru ;
Li, Chunjie ;
Zhao, Haoran ;
Li, Bingkang .
SUSTAINABILITY, 2016, 8 (11)
[9]   Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective [J].
Guo, Sen ;
Zhao, Huiru .
APPLIED ENERGY, 2015, 158 :390-402
[10]   Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution [J].
Hernandez-Moro, J. ;
Martinez-Duart, J. M. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 20 :119-132