Design Approach of Integrated Renewable Energy System for Small Autonomous Power System

被引:0
作者
Patel, Alpesh M. [1 ]
Singal, Sunil Kumar [1 ]
机构
[1] Indian Inst Technol, Alternate Hydroenergy Ctr, Roorkee, Uttar Pradesh, India
来源
2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2016年
关键词
IRES design; sizing of IRES; off grid system; TECHNOECONOMIC ANALYSIS; PERFORMANCE ASSESSMENT; SIZING METHODOLOGIES; CONVERSION SYSTEMS; GENERATION SYSTEMS; GENETIC ALGORITHMS; HYBRID SYSTEM; WIND; OPTIMIZATION; PV;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Energy is the prime commodity of development today throughout the world. Energy needs of the world is increasing drastically in order to achieve the industrial and economical growth. The per capita generation and consumption of electrical energy is becoming the measure of strength of any country. Mostly the energy demand in the world is satisfied by conventional ways using fossil fuel based power generation. Enormous use of conventional fuels lead to the huge amount of harmful emissions which is detrimental for earth's environment. Also dwindling of fossil fuel resources creates perilous situation to sustain the world' economy. Beside this, renewable energy resources have enough potential to meet the energy demand of various sectors and create environment friendly sustainable energy infrastructure. Many remotely located communities of developing countries are still struggling for the electrical power. Use of renewable energy sources in integrated fashion can satisfy the demand of rural community effectively. In this study, design approach of integrated renewable energy system is presented with different design parameters and sizing methodologies.
引用
收藏
页数:5
相关论文
共 53 条
[1]  
AGHAEI J, 2012, GENER TRANSM DISTRIB, V6, P773
[2]   Multicriteria Optimal Sizing of Photovoltaic-Wind Turbine Grid Connected Systems [J].
Alsayed, Mohammed ;
Cacciato, Mario ;
Scarcella, Giuseppe ;
Scelba, Giacomo .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2013, 28 (02) :370-379
[3]   Genetic-Algorithm-Based Optimization Approach for Energy Management [J].
Arabali, A. ;
Ghofrani, M. ;
Etezadi-Amoli, M. ;
Fadali, M. S. ;
Baghzouz, Y. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (01) :162-170
[4]  
Ardakani FJ., 2010, 2010 9 INT C ENV EL, P29, DOI [10.1109/EEEIC.2010.5490006, DOI 10.1109/EEEIC.2010.5490006]
[5]   Optimised model for community-based hybrid energy system [J].
Ashok, S. .
RENEWABLE ENERGY, 2007, 32 (07) :1155-1164
[6]   A discrete chaotic harmony search-based simulated annealing algorithm for optimum design of PV/wind hybrid system [J].
Askarzadeh, Alireza .
SOLAR ENERGY, 2013, 97 :93-101
[7]   Economic Analysis and Power Management of a Small Autonomous Hybrid Power System (SAHPS) Using Biogeography Based Optimization (BBO) Algorithm [J].
Bansal, Ajay Kumar ;
Kumar, Rajesh ;
Gupta, R. A. .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (01) :638-648
[8]   Sizing stand-alone photovoltaic-wind hybrid system: Techno-economic analysis and optimization [J].
Belmili, Hocine ;
Haddadi, Mourad ;
Bacha, Seddik ;
Almi, Mohamed Faycal ;
Bendib, Boualem .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 30 :821-832
[9]  
Billinton R., 1994, RELIABILITY EVALUATI, DOI DOI 10.1007/978-1-4615-7731-7
[10]  
BILLINTON R, 1984, POWER SYSTEM RELIABI