Hybrid Optimization Model For Electric Renewable Research Articles

Comparative study of off-grid and grid-connected hybrid power system: issues, future prospects and policy framework

A sustainable energy system is of utmost importance for any significant development in any nation.This work identified some obstacles inhibiting rapid renewable energy growth in Nigeria and recommended some policy measures in overcoming them. Moreover, a comparative study of off-grid (OG) and grid-connected (GC) small hydro-solar photovoltaic-diesel hybrid system was carried out using Oyan river, Abeokuta, Nigeria as a case study. The hybrid components were modeled with and without the grid. The hydro solar resources data of the area were collected and analyzed using hybrid optimization model for electric renewable (HOMER) software. The simulation results proved that the GC hybrid power system is better than the OG hybrid power system in technical and economic terms depending on the location. This paper, therefore, proposed the use of OG hybrid power system for electrification of distant villages especially where extending the grid seems infeasible and the use of GC hybrid power system in the urban areas. The work will assist power sector stakeholders in making informed decisions towards the growth of hybrid power system technology in Nigeria.

Pseudo inspired gravitational search algorithm for optimal sizing of grid with integrated renewable energy and energy storage

This study presents proposed Pseudo-Inspired Gravitational Search Algorithm (PI-GSA) for solving complex Economic Dispatch (ED) problem in the power system and Optimal sizing of the components for a self-contained and grid connected hybrid energy system that meets the load demand of a particular village. This method can be scaled according to the need of the system under investigation. From the results obtained, it can be inferred that with the use of local available energy sources, the grid connected mode serves as more economical and reliable choice for the electrification of numerous villages when compared with the stand-alone hybrid energy system. To check the effectiveness and performance of proposed algorithm simulation results for Complex Economic Dispatch (Cases 1) are compared with other methods reported in literature and Optimal sizing of the components for self-contained and grid integrated renewable energy resources (Case 2) are compared with the results obtained from Hybrid Optimization Model for Electric Renewable (HOMER). A qualitative comparison of the obtained result with other standard population based meta-heuristic techniques manifests proposed technique's superiority.

A new decision-making process by integration of exergy analysis and techno-economic optimization tool for the evaluation of hybrid renewable systems

This investigation attempts to introduce an innovative decision-making process to assess the hybrid renewable configurations in various applications. For the first time, the two methodologies of Hybrid Optimization Model for Electric Renewables (HOMER) Pro software and exergetic evaluation are integrated. In this novel decision-making approach, a commercial and user-friendly optimizer software is hybridized with exergy calculations. In this study, techno-economic analysis for the rural electrification purpose is investigated. Accordingly, several combined energy systems consist of Photovoltaic panels (PV), Wind Turbines (WT), Battery banks (Bat), and Diesel Generator (DG) are techno-economically investigated. Also, to improve technical evaluation of suggested hybrid renewable systems, the detailed exergy analysis is conducted for each component and the whole system. By applying exergy assessment, the main source of exergy wasting is recognized and the feasible solutions can be introduced to improve the technical performance. The outcomes illustrated that the cost of energy and net present cost of best scenario are 0.17 $/kWh and 168,378 $, respectively. The overall exergy efficiency and exergy destruction rate of optimum configuration (PV/WT/DG/Bat) are accounted for 25.96% and 303206.86 kWh/year, respectively. Also, it was found that 88.68% of the overall exergy wasting occurred in the PV modules. The mean annual exergy efficiency of PV modules and wind plant are computed as 13.03% and 72.25%, respectively. Correspondingly, to diminish the exergy wasting of the system, utilization of different common solar trackers is examined. To investigate the cost-effectiveness of each proposed tracking system, the Cost-Effective Index (CEI) is defined. The more the CEI, the more the cost-effectiveness of energy configuration. The vertical tracking system with a capacity of 20.1 kW PV has the greatest value of CEI (13.49), as a result, this system is the most cost-effective option. By employing this configuration, the overall exergy efficiency increases to 32.14%, and the overall irreversibility rate reduces to 224054.14 kWh/year. Finally, the parametric analyses regarding the economic factors, exergy parameters, and renewable resources are conducted to generalize the outcomes of this project to other rural areas. This proposed decision-making process can be a powerful tool with high reliability for techno-economic evaluation of each hybrid renewable configuration.

Microgrids: A review on optimal hybrid technologies, configurations, and applications

This study aims to provide a comprehensive review about the configurations, operation, and integration of multiple energy sources for microgrid (MG) system. The applications of renewable and non-renewable energy sources have been discussed and analysed. Similarly, the several control strategies, protection schemes, and communication networks used for MG have been defined to provide a unique and distinct perspective for an optimal and real-time project. During the review analysis, different used software tools and techniques were observed and applied broadly. However, the most frequently used software and technique are hybrid optimization model for electric renewables (HOMER) Pro and particle swarm optimization algorithm. Additionally, the total global installed capacity for renewable sources is enhanced up to 2588 GW, including 627 GW of PV source, along with the global investment of USD 316.7 Billion on clean energy sources. Furthermore, the least levelized cost of energy for on-grid and off-grid hybrid systems using HOMER Pro was found as $0.072 and $0.145/kWh, respectively. Finally, the work has provided thorough study and future directions about MGs to assist engineers and researchers for their upcoming prospects in the field of renewable energy.

Optimal sizing and sensitivity analysis of Hybrid Renewable Energy Systems: A case of Ur island in Indonesia

This study presents the design optimization and sensitivity analysis of the hybrid renewable energy system (HRES) for Ur island in Indonesia. The Ur Island is a remote island where local residents unreachable by electrical network systems but has potential to utilize the solar Photovoltaic (PV) and wind energy. The analysis of the hybrid systems is modeling in the Hybrid Optimization Model for Electric Renewable (HOMER) to find out the most cost-effective configurations for electricity requirement of 234 kWh/day primary load with 25.6 kW peak load. The results show that system with the configuration of PV-Wind-Diesel-battery delivers the best optimal design for Ur island in terms of cost of energy (COE) and Total Net Present Cost (TNPC). In addition, the impact of solar radiation, wind speed, diesel price, O&M cost, investment cost and replacement cost are identified by carrying out the sensitivity analysis.

Exploring the best hybrid energy system for the off-grid rural energy scheme in Bangladesh using a comprehensive decision framework

ABSTRACT The dilemma of whether to expand the existing oil-based grid or to promote clean energy in off-grid areas has been challenging for developing countries. In response, the Hybrid Energy System (HES) has been reported to be a balanced solution. However, the traditional decision tool for HES cannot effectively address the associated socio-economic complexity and needs to be further enhanced. Therefore, this study proposed an innovative decision framework that incorporates HOMER (Hybrid Optimization Model for Electric Renewable) and MCDM (Multi-Criteria Decision Making), namely BWM-MCODAS (Best-Worst-Method and Modified Combinative Distance-based Assessment), to select the best HES design based on a case study in Bangladesh. Sixteen various criteria covering technical, economic, environmental, and social aspects were evaluated by three panels of energy experts in various fields. The results show that the best design is the Photovoltaic (PV)-Diesel Generator-Battery HES with the optimal capacity of 36.3 kW, 10 kW, 80.1kWh, which scored 0.11, 0.13, and 0.20, respectively, according to three expert panels. The cost of energy (COE) of the optimal design is 0.32 USD/kWh, which is more affordable than the national grid (0.34 USD/kWh) and cheaper than Solar Home Systems (0.72 USD/kWh). Additionally, the proposed system can reduce CO2 emissions by 64.80% compared to a diesel only system, which keeps the environment cleaner. Two types of sensitivity analyses were further adopted to verify the consistency and robustness of the results. The first one proves that the score remains stable when varying the proposed MCODAS used in the framework. Second, sensitivity analysis shows that ‘capital cost’ is the most sensitive criterion and further confirms the stability of the results. Hence, the proposed method enhances the information value to achieve a balanced solution, and offers a useful tool to ease the dilemmas faced in the rural energy schemes of developing countries.

Economic evaluation of a hybrid renewable energy system (HRES) using hybrid optimization model for electric renewable (HOMER) software—a case study of rural India

Abstract This paper unveils a sustainable energy plan for optimal utilization of available electrical energy resources for an energy-deficient village. The chosen village is Nangal, near Barnala, Punjab, India. Primarily, the requirements of electric energy are recorded and elaborated for around 450 households. Aiming this, the potential to harness electric power and its effective utilization has been identified from the available resources of energy: biomass, agriculture waste and solar photovoltaic (PV) technology. In order to achieve this, a hybrid renewable energy system (HRES) model is proposed whose performance is evaluated by implementing it in hybrid optimization model for electric renewable (HOMER) software. HOMER software provides optimal solution for a commercial biogas plant for catering cooking gas demand. Also, a coordinated solution for solar PV-operated water pumps used for irrigation, village water supply and solar PV street lights is presented and analyzed. In this way, the accurateness of proposed model is investigated by estimating the optimal electric power demand and its economic benefits. It has been revealed that the computed cost of energy and total net present cost are $0.032/KWh and $76,837, respectively, by the parametric assessment of proposed HRES system. It is envisaged that the proposed model can be a road map for future research engineers in designing an effective energy utilization for villages.

The optimization of hybrid power generator system (PV-Wind turbine) using Homer software

There is a higher electricity demand due to increasing population and economic development. Conventional power companies struggle to meet these needs both in generation and distribution. However, the common use of electric and other power generators, driven mostly by fossils fuels, shows certain limitations including decreasing efficiency and energy resources. Therefore, the application of renewable energy sources is greatly significant. The purpose of this research was to analyse the potentials of hybrid power generator system (PV-Wind turbine) and the optimization of electric energy requirement using hybrid optimization model for electric renewable (HOMER) software. The results confirmed this study as useful and a valid reference for government in building power generation systems through renewable energy utilization.

Performance optimization of a photovoltaic-diesel hybrid power system for Yanbu, Saudi Arabia

<abstract> <p>In the rural areas of Saudi Arabia, which are not connected to the national grid, electricity is supplied mainly from diesel generators. This is not just a non-renewable energy source, but it has also resulted in environmental damage and may be hazardous to human health. In order to mitigate the problem, integration with a solar photovoltaic system is proposed. A Photovoltaic-Diesel Hybrid System (PvDHS) was designed, analyzed, and optimized based on the climate data of Yanbu, Saudi Arabia. Measured local solar insolation and climate data were used in the Hybrid Optimization Model for Electric Renewables (HOMER) software with different system components and configurations in order to optimize the design that yields the best energy cost. A system consisting of a 3 kW photovoltaic system, a 2 kW diesel engine, a 1 kW converter, and 14 kWh batteries were identified to be the most cost-effective for the average daily electricity demand of 10.5 kWh. The total Net Present Cost (NPC) of this system is ＄17, 800, a reduction of 50% over the ＄35, 770 cost of the diesel-only system. The PvDHS useful electrical energy is found to be ＄0.36/kWh, while the Cost of Energy (COE) of the diesel-only system is ＄0.72/kWh. The system is expected to pay for itself in 2.8 years and reduce CO<sub>2</sub> emissions by 8110 kg per year.</p> </abstract>

Powering Mobile Networks with Optimal Green Energy for Sustainable Development

Green wireless networking is an emerging area for many societies, especially academia and industry, in light of economic and ecological perspectives. Empowering wireless infrastructures exploiting green power sources can enhance sustainability due to the adverse effects of conventional power sources and atmospheric circumstances. Moreover, the specific power supply requirements for a base station (BS), such as cost effectiveness, efficiency, sustainability, and reliability, can be met by utilizing technological advances in renewable energy. Numerous drivers and motivators are involved in the deployment of renewable energy technologies and the transition toward green energy. Renewable energy is free, clean, and abundant in most locations throughout the year. In this work, a sustainable optimal stand-alone solar-powered model envisioning green cellular BSs for urban locations in Oman is proposed. This model can extend 24 h uninterrupted power supply support to a cellular BS that fully utilizes an integrated storage device. The system analysis is conducted using a hybrid optimization model for electric renewables (HOMER) based on actual prevailing conditions of the regions and their technical feasibility. The results showed can be achieved operational expenditure savings up to 16%. These outcomes provide a huge benefit to the cellular operators of Oman economically, technically, and ecologically.

Prefeasibility Economic and Sensitivity Assessment of Hybrid Renewable Energy System

Nowadays, microgrids with hybrid renewable energy sources are increasing, and it is a promising solution to electrify remote areas where distribution network expansion is not feasible or economical. This study aims to find an ideal hybrid system grounded on solar, wind, diesel, biomass, hydro, and battery. This study utilizes the hybrid optimization model for electric renewable (HOMER) software to size the important components, perform technical, financial evaluation, renewable factor, estimate the harmful emissions, and sensitivity analysis. For optimum system selection, the lowest cost of energy is used as the criteria. Four different configurations of renewable energy sources are analyzed and found PV-WT-MH-CT-BT-DG-BG is the most feasible hybrid system amongst all configurations. The proposed PV-WT-MH-CT-BT-DG-BG hybrid system is more economic as the lowest cost of energy 0.196$, low operating cost 36,184$, low net present cost 831,217$. Also, this hybrid system is more environmentally friendly as it has less emission and a high renewable factor of 81.2%.

Size optimization of a hybrid photovoltaic/fuel cell grid connected power system including hydrogen storage

This paper describes the size optimization of a hybrid photovoltaic/fuel cell grid linked power system including hydrogen storage. The overall objective is the optimal sizing of a hybrid power system to satisfy the load demand of a university laboratory with an unreliable grid, with low energy cost and minimal carbon emissions. The aim is to shift from grid linked diesel power system to a clean and sustainable energy system. The optimum design architecture was established by adopting the energy-balance methods of HOMER (hybrid optimization model for electric renewables). Analysis of hourly simulations was performed to decide the optimal size, cost and performance of the hybrid system, using 22-years monthly averaged solar radiation data collected for Ambrose Alli University, Ekpoma (Lat. 6°44.3ʹN, Long. 6°4.8ʹE). The results showed that a hybrid system comprising 54.7 kW photovoltaic array, 7 kW fuel cell system, 14 kW power inverter and 3 kW electrolyzer with 8 kg hydrogen storage tank can sustainably augment the erratic grid with a very high renewable fraction of 96.7% at $0.0418/kWh. When compared with the conventional usage of grid/diesel generator system; energy cost saving of more than 88% and a return on investment of 41.3% with present worth of $308,965 can be derived in less than 3 years. The application of the optimally sized hybrid system would possibly help mitigate the rural-to-urban drift and resolve the electricity problems hindering the economic growth in Nigeria. Moreover, the hybrid system can alleviate CO2 emissions from other power generation sources to make the environment cleaner and more eco-friendly.

Technical and economic potential evaluation of an off-grid hybrid wind-fuel cell-battery energy system in Xining, China

ABSTRACT This study proposes a technical and economic evaluation of a stand-alone wind-fuel cell (FC)-battery hybrid energy system for a residential house in Xining, China. The techno-economic analysis of the two different systems including the wind-battery and wind-fuel cell-battery systems has been conducted by employing HOMER (Hybrid Optimization Model for Electric Renewables) software. The optimal allocation of the system types, cash flows, operating conditions, power generation, and sensitivity analysis have all been discussed. The results indicate that the optimal wind-battery hybrid system is more economical, when compared to the wind-FC-battery system, for a house in Xining. The power generation costs of these two energy systems are comparable, which also provides a possibility for the use of wind-FC-battery hybrid power system. Although the wind-FC-battery system is currently expensive, it is an important method to produce hydrogen, which facilitates the widespread use of hydrogen FC vehicles. The wind-battery and wind-FC-battery hybrid energy systems can adequately meet the load requirements for the considered house. The excess electricity from the wind-FC-battery system is less than the wind-battery system, since a portion of the surplus electricity is utilized to electrolyze the water to produce hydrogen.

Optimal Sizing of Hybrid Renewable Energy System for off-Grid Electrification: A Case Study of University of Ibadan Abdusalam Abubakar Post Graduate Hall of Residence

The main objective of this study is to design a Hybrid Renewable Energy System (HRES) to meet the energy demand of a major Post Graduate Student residential hostel. The specific objectives were to estimate the energy demand, perform economic and technical analysis of various combination of renewable energy technologies that can meet the estimated energy demand and to select the appropriate and optimum hybrid system for the hall of residence. Quantitative analysis was used to determine the energy demand of the hall of residence while the solar resource information was obtained from the NASA Surface Meteorology. The Hybrid Optimization Model for Electric Renewables (HOMER) software was used for analysis. The components of the system considered were solar photovoltaic (PV), diesel generator, batteries and inverter. The optimised hybrid system obtained was also compared to a system in which a diesel generator serves as the sole source of electricity supply. Economic analysis using the total net present cost and levelized cost of enegy was employed to determine the optimized hybrid combination. Environmental considerations were also made based on the amount of Carbon dioxide emitted per year. Results indicates that electricity generation through a hybrid system made up of 1000kW PV, 110 kVA generator, 11791 kWh Surrette S6CS25P battery arranged in parallel strings and a 220 kW Inverter had the lowest total net present cost, lowest cost of energy with a low emission. Hence, Hybrid Renewable Energy Systems (HRES) should be employed in the production of electricity in due to its ability to reduce environmental degradation while ensuring a low total net present cost and a low cost of energy.

Feasibility and optimal design of a hybrid power system for rural electrification for a small village

A hybrid renewable energy system is at present accepted globally, as the best option for rural electrification particularly in areas where grid extension is infeasible. However, the need for hybrid design to be optimal in terms of operation and component selection serves as a challenge in obtaining reliable electricity at a minimum cost. In this work, the feasibility of installing a small hydropower into an existing water supply dam and the development of an optimal sizing optimization model for a small village-Itapaji, Nigeria were carried out. The developed hybrid power system (HPS) model consists of solar photovoltaic, small hydropower, battery and diesel generator. The optimal sizing of the system’s components for optimum configuration was carried out using Genetic Algorithm. The hybrid model’s results were compared with hybrid optimization model for electric renewable (HOMER) using correlation coefficient (r) and root mean square error (RMSE) to verify its validity. The results of the simulation obtained from the developed model showed better correlation coefficient (r) of 0.88 and root mean square error (RMSE) of 0.001 when compared to that of HOMER. This will serve as a guide for the power system engineers in the feasibility assessment and optimal design of HPS for rural electrification.

Design Analysis of PV-Wind Energy System with Pumped Hydro Storage using HOMER Pro

Renewable energy in the recent era world-widely has proven to be a major shift for clean energy generation. It is a great opportunity or solutions to address increasing clean energy demand especially in a developing country such as India. As wind energy and solar energy are most commonly used renewable resources, gives their abundance in the region. Focusing aim of the analysis is to present the reliability of pumped hydro storage (PHS) system with respect to battery banks on the basis of operation and maintenance (O&M) cost with minimum loss. Thus, this system will have feasibility and practical capability to provide persistent supply operation to remote areas. The Hybrid Optimization Model for Electric Renewable (HOMER) software also known as HOMER Prois used to conduct simulation of the system.

A Techno-Economic Optimization and Performance Assessment of a 10 kWP Photovoltaic Grid-Connected System

The system under consideration in this paper consists of a photovoltaic (PV) array, described as having a 10 kWp capacity, battery storage, and connection to the grid via a university grid network. It is stated that the system meets a local load of 4–5 kVA. The system is in Ethiopia, and the authors give details of the location and solar resource to provide information to assess its performance. However, the performance assessment will be specific to the details of the installation and the operational rules, including the variable nature of the load profile, charging and discharging the battery storage, and importing from and exporting to the university grid. The nearby load is mostly supplied from PV and grid sources, and hence the battery installed is found to be idle, showing that the PV together with storage battery system was not utilized in an efficient and optimized way. This in turn resulted in inefficient utilization of sources, increased dependency of the load on the grid, and hence unnecessary operational expenses. Therefore, to alleviate these problems, this paper proposes a means for techno-economic optimization and performance analysis of an existing photovoltaic grid-connected system (PVGCS) by using collected data from a plant data logger for one year (2018) with a model-based Matlab/Simulink simulation and a hybrid optimization model for electric renewables (HOMER) software. According to the simulation result, the PVGCS with 5 kWp PV array optimized system was recommended, which provides a net present cost (NPC) of 5770 (€/kWh), and a cost of energy (COE) of 0.087 (€/kWh) compared to an existing 10 kWp PV system, which results in a NPC value of 6047 (€/kWh) and COE of 0.098 (€/kWh). Therefore, the resulting 5 kWp PV system connected with a storage battery was found to be more efficient and techno-economically viable as compared to the existing 10 kWp PVGCS plant.

Assessment of a decentralized grid-connected photovoltaic (PV)\xa0/\xa0wind /\xa0biogas hybrid power system in northern Nigeria

Electricity is considered a fundamental service which is highly correlated with sustainable development. Nigeria will serve as a case study that has been experiencing an energy deficit, and severely needs a strong adoption of alternative energy sources.This paper provides a detailed assessment of a grid-connected photovoltaic/wind/biogas hybrid energy system in the northern part of Nigeria using a combined Hybrid Optimization Model for Electric Renewables (HOMER), Microsoft Excel, and Ganzleitliche Bilanz (GaBi) tools. They are based on techno-economic modeling and optimization as well as comparison with the same configuration in its off-grid form. Sensitivity analysis as well as an energy efficiency assessment of the proposed grid-connected system was carried out, followed by a supplementary economic benefit assessment of a system switch over and an evaluation of the impacts of life cycle emissions. A wrap-up reliability assessment based on the utility grid status quo and policy implications was also carried out.The results of the analysis for the grid-connected system showed a 3% increase in the overall energy supply, and a 68% and 85% decrease in net present costs (NPC) and levelized costs of energy (LCOE), respectively, with avoided emissions as compared to its comparable off-grid configuration. Moreover, the energy efficiency (EE) determined for the proposed grid-connected system resulted in a massive reduction in the component sizing, energy supply, and an ultimate 88% and 81% reduction in overall NPC and LCOE, respectively. The sensitivity analysis as well as the other supplementary evaluations indicated clear impacts on the different performance measures.This approach is worthy of adoption coupled with expansions for an effective solution to the energy deficit and its sustainability in the case study country. This could be successfully provided if all the reliability concerns for the utility grid and policy measures are addressed significantly.

Determination of the optimal solar photovoltaic (PV) system for Sudan

Electricity access in Africa is a major challenge in rural areas. Despite considerable potential for the use of solar energy, investments in renewable energy projects are minimal due to poor promotion of solar energy. As a result, many people still rely on private diesel generators, which release significant levels of pollutants, and have negative effects on both humans and the environment. Situated in the sunbelt, Sudan is one of the largest countries in Africa endowed with an extremely high solar irradiation potential. However, no work has been done in the literature with a strategic context to study specifically the feasibility of renewable energy systems in Sudan despite the abundance of solar resource. The aim of this study was to utilize Hybrid Optimization Model for Electric Renewables (HOMER) to identify the optimal solar photovoltaic (PV) system for Sudan’s conditions, identify the best locations, and analyze the costs and the pollution that might be avoided by employing a PV system in place of a diesel system. HOMER simulation results demonstrated that the optimal type of PV for Sudan is the Studer VarioTrack VT-65 with Generic PV. The utilization of a solar PV system will avoid the production of approximately 27 million kg/year of pollutants and will reduce the cost of energy to USD$ 0.08746/kWh. The optimal locations found in Sudan for utilizing solar energy were Wawa, followed by Kutum, Wadi Halfa, Dongola and Al-Goled due to their low costs of electricity, high clearness index and high levels of solar radiation. Given the recent rapid decrease in PV pricing and predictions for continued reductions, the costs of PV were varied to deliver an understanding on the impact of PV costs on the project economics. Reducing the PV costs by 25% has a significant impact; the cost of energy produced reduces in the range of USD$ 0.06697/kWh and USD$ 0.06808/kWh, while a reduction in PV costs of 50% further reduces the cost of energy, ranging between USD$ 0.05273/kWh and USD$ 0.05361/kWh in the top five locations in Sudan. The output of this study is projected to raising the potentiality awareness of renewable energy in Sudan and delivering a valuable reference regarding the optimal utilization of solar PV system in energy sector.

Cost Optimization of Hybrid Energy System in Afghanistan using HOMER

This paper presents the Cost Optimization of hybrid energy systems in two of the most important provinces of Afghanistan, electrification of Khulm district (Uljato) for Balkh province and Zendeh Jan district (Hotel Safid) for Herat province is purposed in this study. HOMER (Hybrid Optimization Model for Electric Renewables) pro version 3.23.8 is used for optimization, simulation and sensitivity analysis, HOMER is a great software to design and evaluate technically and financially the options for off-grid and on-grid power systems. Renewable resources for selected areas are analyzed in Global Solar atlas (GSA) and Global wind atlas (GWA} the result is compared with the meteorological tower data set, the GSA/GWA is the online website that provides a summary of solar potential, solar resources, wind speed, wind density, and other related factors globally. it is provided from World Bank Group with funding from the Energy Sector Management Assistance Program (ESMAP). The modeling of the hybrid system is purposed as grid-connected for both sites, the system is designed for 2.348MW and 1.622MW for Khulm and Zendeh Jan district respectively, and 10% of load variability is considered. as a result of the study, the Levelized cost of energy (LCOE) from the hybrid system is obtained 0.0566 USD/kWh and 0.0537 USD/kWh for Khulm and Zendeh Jan district respectively which will be 30 to 50 percent cheaper than the price of electricity that is imported from neighboring countries. The total electricity generation for Khulm and Zendeh Jan districts from solar and wind are 7,988,376 kWh/year and 6,218,710 kWh/year respectively. Accessibility of electricity is the important factor for the economic growth of Afghanistan, more than 1000MW of electricity is imported from neighboring countries that are not sustainable and reliable, while Afghanistan has a great potential of renewable energy sources (REs) whose utilization could help to lessen future supply gaps at a cost level that are economically and financially attractive The development of domestic generation is vital for Afghanistan and renewable energy sources (RES) with great potential can successfully be harnessed to meet these two requirements. Besides these renewable energies (REs) are clean energies, friendly with the environment, free of harmful emissions, and have a great impact on the reduction of global warming and climate change.