Optimal Capacity Planning and Analysis of a Sustainable Solar/Wind Microgrid in Rural Areas

被引:0
作者
Ullah, Zia [1 ]
Wang, Shaorong [1 ]
Elkadeem, Mohamed R. [2 ]
Kotb, Kotb M. [2 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan, Peoples R China
[2] Tanta Univ, Fac Engn, Elect Power & Machines Engn Dept, Tanta, Egypt
来源
2023 IEEE GREEN TECHNOLOGIES CONFERENCE, GREENTECH | 2023年
关键词
Optimization; Hybrid Energy system; Solar Photovoltaic; Wind Turbine; Rural Electrification; Pakistan; RENEWABLE ENERGY SYSTEM; HYBRID; DESIGN; ELECTRIFICATION; OPTIMIZATION; FEASIBILITY; WIND;
D O I
10.1109/GreenTech56823.2023.10173808
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Conventional power systems are generally not efficient, economical, and environmentally friendly due to the primary energy demand met by fossil fuels. It is imperative to design efficient and sustainable systems considering hybrid renewable energy sources; however, integrating RES into the system poses design and integration challenges. This paper proposes an optimal planning and analysis approach for the hybrid solar/wind microgrid system integrated with battery energy storage to maximize the technical, cost, and environmental benefits. The system modelling and simulation are implemented using HOMER Pro optimizer with a representative case study to supply rural residential households in Pakistan. We evaluated the proposed system's performance and analyzed the penetration of renewable generation using real-time meteorological data. Moreover, multiple cases and scenarios were considered, compared, and investigated to prove the effectiveness and relevance of the proposed hybrid energy system. The simulation results and detailed comparisons show the proposed 100% renewable-based microgrid applicability and relevance to meet the load requirement at the lowest total net present cost ($226476.1) and energy costs (0.3523$/kWh), which were found to be 59.51% and 59.47% less than the diesel system.
引用
收藏
页码:299 / 303
页数:5
相关论文
共 30 条
[21]   Polygeneration as a future sustainable energy solution - A comprehensive review [J].
Jana, Kuntal ;
Ray, Avishek ;
Majoumerd, Mohammad Mansouri ;
Assadi, Mohsen ;
De, Sudipta .
APPLIED ENERGY, 2017, 202 :88-111
[22]   Optimal design of negative emission hybrid renewable energy systems with biochar production [J].
Li, Lanyu ;
Yao, Zhiyi ;
You, Siming ;
Wang, Chi-Hwa ;
Chong, Clive ;
Wang, Xiaonan .
APPLIED ENERGY, 2019, 243 :233-249
[23]   A review of Africa's transition from fossil fuels to renewable energy using circular economy principles [J].
Mutezo, G. ;
Mulopo, J. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 137
[24]   Stochastic load profile construction for the multi-tier framework for household electricity access using off-grid DC appliances [J].
Narayan, Nishant ;
Qin, Zian ;
Popovic-Gerber, Jelena ;
Diehl, Jan-Carel ;
Bauer, Pavol ;
Zeman, Miroslav .
ENERGY EFFICIENCY, 2020, 13 (02) :197-215
[25]  
Ndinechi M. C., 2022, LOAD CONTROL SYSTEM, V1, P1, DOI [10.1109/powerafrica53997.2022.9905259, DOI 10.1109/POWERAFRICA53997.2022.9905259]
[26]   An Optimal Sizing of Stand-Alone Hybrid PV-Fuel Cell-Battery to Desalinate Seawater at Saudi NEOM City [J].
Rezk, Hegazy ;
Alghassab, Mohammed ;
Ziedan, Hamdy A. .
PROCESSES, 2020, 8 (04)
[27]   Feasibility of solar hybrid energy system at a conservation park: Technical, economic, environmental analysis [J].
Sreenath, S. ;
Azmi, Azlin Mohd ;
Ismail, Zubir Ahmad Mohd .
ENERGY REPORTS, 2023, 9 :711-719
[28]   Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas [J].
Suresh, Vendoti ;
Muralidhar, M. ;
Kiranmayi, R. .
ENERGY REPORTS, 2020, 6 :594-604
[29]   Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply [J].
Ullah, Zia ;
Elkadeem, M. R. ;
Kotb, Kotb M. ;
Taha, Ibrahim B. M. ;
Wang, Shaorong .
RENEWABLE ENERGY, 2021, 179 :885-910
[30]   Multi-objective optimal design of hybrid renewable energy system under multiple scenarios [J].
Wang, Rui ;
Xiong, Jian ;
He, Min-fan ;
Gao, Liang ;
Wang, Ling .
RENEWABLE ENERGY, 2020, 151 :226-237