Off-grid System Research Articles

Design and performance evaluation of an off-grid hybrid solar system in a remote location: A case study of Legundi Island

Legundi Island, located in Lampung Bay, Indonesia, has high solar energy potential but still relies on Diesel Power Plants. This research aims to design a hybrid Solar Power Plant and Diesel Power plant system that is environmentally friendly and reliable. Analysis was conducted using the Homer software.•This research designs a hybrid Solar Power Plant system with a capacity of 170.2 kWp and a battery of 1,036 kWh, integrated with three existing Diesel Power Plants units with a capacity of 200 kW.•This system can generate electricity of 296,391 kWh/year with a renewable energy fraction reaching 79.9% and an electricity surplus of 0.988%.•Fuel consumption decreased by 79.3% compared to the existing Diesel Power Plant system.

Capacity optimization allocation method for off-grid RES-H2 microgrid system considering the load-follow-source mechanism

Based on the uncertainty of the output of renewable energy such as wind and photovoltaic (PV), a capacity optimization allocation method considering the load-follow-source mechanism is proposed to solve the shortages of traditional methods, which is low in utilization rate of energy and low in economy. Firstly, considering the fluctuations of renewable energy sources (RES) and the operating characteristics of the electrolyzer, this paper proposes a capacity optimization method for off-grid hydrogen(H2) production system of renewable energy sources considering the load-follow-source operation mechanism. Then, combined with this mechanism, a capacity optimization allocation model is established, the objectives contain minimizing the levelized cost of hydrogen (LCOH), minimizing the capacity of energy storage, and optimizing the efficiency of power supply. Finally, an adaptive non-dominated sorting differential evolution algorithm (ANSDE) with external archiving is proposed to solve the established model. The calculation results show that the load-follow-source mechanism is effective for improving the economy of the system, and the proposed algorithm is high in efficiency and good in convergence comparing with traditional algorithms.

Single-phase photovoltaic off-grid inverter based on quasi-PR control

Given the rapid growth of renewable energy generation, photovoltaic inverters have gained widespread adoption in power generation systems. To achieve improved precision in control and enhanced quality in the output waveform of the inverters, this article presents a single-phase photovoltaic inverter designed for both grid-connected and off-grid systems. It utilizes a quasi-proportional-resonant control technique. Initially, the mathematical representation of the grid-connected and off-grid inverter is established. Following this, the quasi-proportional resonant control strategy is introduced, with the corresponding implementation method of the controller derived from its equivalent block diagram. Furthermore, the control block diagrams of the grid-connected and off-grid inverters undergo a detailed analysis, and the system’s transfer function is obtained from the control block diagram. The incorporation of grid voltage feedforward control is introduced for examining the system’s tracking performance. Ultimately, the proposed control approach is validated for its effectiveness and practicality through Simulink simulation.

Investigating the role of subsistence renewables in alleviating power poverty within Nigeria’s energy-mix strategy

Nigeria, a country rich in renewable sources still heavily relies on nonrenewable energy, of which the government’s on-grid supply remains inadequate, and generally of poor services. This study, therefore, investigated subsistence renewables by citizens able to contribute to the country’s energy-mix plan and help ameliorate power poverty challenges. Qualitative primary data were sourced using the Delphi experts’ method from energy experts and practitioners possessing relevant knowledge bases regarding the energy-mix strategy with an understanding of the power poverty scenarios. The findings show that the effect size in the very high-level option for solar potentials was relatively more than wind and bio sources. The study reveals that citizens could mostly afford low-capacity solar installations, with considerable interest in the energy-mix strategy. Medium-capacity solar was found to be quite unaffordable, leading to a perceptually very low potential for solar. A showstopper in incorporating solar effectively into Nigeria’s energy-mix scenario was the citizens’ non-affordability of accessing high-capacity systems. It is, however, deduced that affordability and recognition of values are congruous. Conclusively, the experts are optimistic regarding subsistence renewables potentials in the energy-mix strategy. Solar is, however, considered the most crucial, surpassing wind and bio sources. The study suggests that the government could incentivize renewable energy systems, particularly solar, to promote subsistence solutions through affordability by citizens, adoption, and sustainability within the energy-mix strategy. It is further recommended that citizens’ income levels should be raised to favor the affordability of off-grid renewable energy systems.

Techno-Economic Analysis for Raja Ampat Off-Grid System

Indonesia, an expansive archipelagic nation with over 17,000 islands, encounters significant challenges in ensuring a sustainable and dependable electricity supply, particularly in its West Papua region. The reliance on diesel fuel for electricity generation in this area poses substantial environmental risks and incurs high costs. A comprehensive research study addressing the environmental and economic challenges associated with diesel dependence in West Papua proposed a shift towards sustainable and cost-effective solutions by advocating for adopting off-grid hybrid power systems. This study targeted Yensawai Village in the Raja Ampat Islands, employing a detailed techno-economic analysis through HOMER Pro to identify the most cost-effective system configurations. The findings indicated that the optimal setup consists of a 160 kW diesel generator, complemented by a 70.1 kW solar photovoltaic (PV) system, a 30 kW inverter, and an 80 kWh battery storage unit. This configuration not only proved to be economically viable by reducing the levelized cost of electricity (CoE) by 15.7%—achieving a CoE of $0.236/kWh compared to the base scenario's $0.280/kWh—but also highlighted the potential for similar benefits across regional systems. By focusing on the economic advantages of hybrid energy configurations, this research contributes significantly to the broader discourse on sustainability and the urgent need to reduce diesel dependence, offering a practical approach to cutting electricity generation costs in remote island communities and advancing sustainability initiatives.

Разработка эффективного контроллера отслеживания точки максимальной мощности для фотоэлектрической системы

A method is presented to improve the performance of off-grid photovoltaic systems using a battery charge controller equipped with solar panel maximum power point tracking (MPPT) technology. Today, the MPPT controller is an effective technology that ensures the ideal functioning of solar panels by searching and selecting the optimal power point. The purpose of the study is to develop and evaluate the performance of a battery charge controller for solar panels based on the maximum power point tracking method. The proposed method uses a perturbation and observation algorithm and tracks the maximum power point based on the current and voltage output characteristics. A DC/DC buck converter was used in the study. The model of the proposed method was implemented in the Matlab Simulink software environment, and the efficiency of the operating algorithm was assessed. In addition, based on this model, an MPPT controller was developed, which was tested in real conditions. The reliability of the proposed method was also assessed. As a result of the study, the effectiveness of the developed system was revealed through a comparative analysis with a commercial battery charge controller

Optimal planning of solar energy using a sensitivity factor for rural electricity needs in an off-grid system (case study: Sebesi Island, South Lampung, Indonesia)

ABSTRACT Small islands in Indonesia usually have a million beauty and extraordinary natural wealth. However, the development of remote islands is prolonged due to the limited electricity supply on these islands. This limitation occurs because the island is far from the primary power grid or uses a diesel generator (DG). Using the DG will increase the cost of shipping fuel oil through limited sea transportation. Therefore, this study aims to conduct a feasibility study of a solar power plant to meet the electricity needs of Sebesi Island, South Lampung, Indonesia. The availability of solar Energy and limited battery life are the main challenges in providing solar Energy today. Therefore, this study also considers the uncertainty of resources by using the sensitivity factor. This research uses HOMER software. This study assumes operating reserve peak, operating reserve, solar reserve, and lifetime battery life to account for resource uncertainty. This method is very effective in overcoming operational limitations and problems. The research results show that the optimal peak operating reserve, operating reserve, solar reserve, and lifetime battery are 10%, 10%, 10–30%, and 5 years, respectively. To meet the daily electrical energy needs of 505.1 kWh, the minimum net current cost (NPC) and energy cost (COE) are $1.26 million and 0.346 $/kWh, respectively. Therefore, this research succeeded in finding a scenario that takes into account sensitivity factors that are more economical. Compared with a diesel generator (DG) with a capacity of 100 kW, the NPC and COE values are $1.29 million and 0.397 $/kWh. Meanwhile, in terms of technology, solar power systems produce much more energy than DG. This system has an energy of 583,316 kWh/year, while the DG system can produce an energy of 268,469 kWh/year. As a result, this system can also reduce CO2 emissions by 241,812 kg/year.

Standalone hybrid power-hydrogen system incorporating daily-seasonal green hydrogen storage and hydrogen refueling station

In light of the recent developments in the green hydrogen industry, it is essential to investigate its compatibility and integration with existing electrical grids. This task becomes more challenging when considering its implementation in off-grid sites that solely rely on renewable energy. In cases where off-grid sites should provide electricity and hydrogen to a variety of consumers, it is compulsory to have electrical and hydrogen storage devices with long-term storage capabilities. Consequently, a precise programming technique is necessary to manage the storage and consumption of hydrogen and electricity. To investigate such a model, this paper presents a connected electricity-hydrogen grid in which all the required energy is supplied by solar and hydroelectric units. This off-grid system supplies the necessary energy for industrial and residential loads, electric vehicle charging stations, fuelcell car refueling stations, and natural gas pipelines. The power-to-hydrogen (P2H) and hydrogen-to-power (H2P) systems are used to facilitate energy flow between the electrical and hydrogen sectors. A daily-seasonal hydrogen storage is integrated as well. The proposed method contributes by integrating and improving the modeling, management, optimization, and operation of the daily-seasonal hydrogen storage and electrical storage. Its primary objective is to supply electricity and hydrogen to various consumers using solely renewable energy, even in the face of renewable energy fluctuations and outages. The model is mathematically expressed as a mixed integer linear optimization, implemented in GAMS software, and solved by the CPLEX solver. It aims at maximizing profit from selling electricity and hydrogen to the users. Results demonstrate that P2H and H2P units have a complementary operation with the solar system. When there is abundant solar energy, the P2H converts excess clean energy to green hydrogen and H2P operates when solar energy is not available. Seasonal storage also stores hydrogen from spring to autumn and discharges it in winter because of higher hydrogen prices in this season. Such an operation increases the annual profit by about 9%. When the hydroelectricity unit faces an outage in hours 8 to 13, the fuelcell uses the stored hydrogen and comes into operation to compensate hydropower outage. The net present value of profit amounts to $275,179 per year. The total hydrogen required is approximately 49,870 kg per year, with a total electricity requirement of 1190 MWh per year. The levelized revenue from hydrogen is achieved at around $4 per kilogram, while the levelized revenue from electricity is about $0.058 per kilowatt-hour. It is concluded that the integration of seasonal storage effectively reduces costs, boosts profits, and efficiently manages renewable energy fluctuations across different seasons.

Monitoring System Design of a 4 kWp Off-grid Solar Power Plant

A monitoring system is needed to determine the performance of an off-grid solar power plant. This paper presents a monitoring system design for an off-grid solar power plant with a capacity of 4 kWp. This off-grid solar power plant system was built on campus 2 of Institut Teknologi Nasional Malang. The purpose of a monitoring system is to collect and present information systematically about the state of the off-grid solar power plant system. This information can be accessed anywhere and anytime by users. Hardware used includes SPM91 to read energy meters digitally, PZEM-017 as a Modbus-based measuring instrument, and communication devices to send data to a database server. The monitoring system dashboard was built using Haiwell SCADA software. The result was a monitoring system that can display parameter data, data loggers, and graphs of the condition of the off-grid solar power plant. The PZEM-017 has an accuracy rate of 99.48% for voltage readings and 98.76% for current readings. Meanwhile, the SPM91 has an accuracy rate of 99.89% for voltage readings and 99.25% for current readings.
 Keywords: monitoring system, off-grid solar power plant, SCADA software

Design and optimization of battery and thermal management system for AC photovoltaic energy module

The utilization of renewable energy sources has increased due to concerns about climate change. However, injecting the power from renewable energy sources into grid-tied systems is challenging. The techno-economic analysis a photovoltaic (PV) energy systems is investigated. As a result, this paper presents AC-PV module for Grid-Tied and Off-Grid Scenarios via optimization, modeling, and test results. Even though the output of a PV panel is DC voltage, a three-port inverter and a lithium-ion battery pack are integrated with the back of the PV panel. They are packaged as a PV system module that makes the module output have AC voltage. Therefore, an optimized AC-PV module can be a solution for residential and commercial use, which are grid-tied systems; it can be very efficient for those without access to electricity, which is an off-grid system. An integrated battery and thermal management strategy is crucial for this AC-PV module. In the article, the battery capacity optimization, the electrical and the thermal model of the battery pack, battery heat generation model are discussed by using stochastic analysis techniques; the battery test results are also obtained to identify the models’ parameters and a control algorithm is proposed to extract the battery information such as temperature, current, voltage, SoC and SoH of the battery pack.

Hybrid off-grid energy systems optimal sizing with integrated hydrogen storage based on deterministic balance approach

The transition to sustainable power infrastructure necessitates integrating various renewable energy sources efficiently. Our study introduces the deterministic balanced method (DBM) for optimizing hybrid energy systems, with a particular focus on using hydrogen for energy balance. The DBM translates the sizing optimization problem into a deterministic one, significantly reducing the number of iterations compared to state-of-the-art methods. Comparative analysis with HOMER Pro demonstrates a strong alignment of results, with deviations limited to a 5% margin, confirming the precision of our method in sizing determinations. Utilizing solar and wind data, our research includes a case study of Cairo International Airport, applying the DBM to actual energy demands.

Techno-Economic Performance and Sensitivity Analysis of an Off-Grid Renewable Energy-Based Hybrid System: A Case Study of Kuakata, Bangladesh

Hybrid renewable energy sources (HRES) are increasingly being utilized to meet global energy demands, particularly in rural areas that rely on diesel generators and are disconnected from the utility grid, due to their environmental and human health benefits. This study investigates the performance of an off-grid, hybrid PV/diesel generator/battery system for a decentralized power plant in Kuakata, Bangladesh, meeting a load demand of 3000 kWh/day with a 501.61 kW peak load demand. HOMER Pro (hybrid optimization model for electric renewable) software (version 3.11) was used to simulate and optimize system operations utilizing real-time solar radiation and load profile data from that location. This study also includes a sensitivity analysis of the off-grid HRES system under different electrical load demands, project longevity, and derating variables. The results reveal that CO2 emissions have potentially decreased by more than 30% and over 10 tons per year, respectively, when compared to traditional power plants. The optimized system’s net present cost (NPC) was determined to be around USD 5.19 million, with a cost of energy (COE) of USD 0.367 per kWh per unit with a 100% renewable component. Furthermore, the current study’s findings are compared to previous research that has resulted in an economical hybrid renewable energy system with an affordable COE. The hybrid energy system under consideration might also be applicable to other parts of the world with comparable climate conditions.

Experimental Evaluation of a Solar-Powered Air Conditioner

Air conditioning is vital in maintaining indoor comfort and improving air quality, particularly in regions with high temperatures and humidity. However, the increasing demand for air conditioning has significant implications for energy consumption and the environment. Solar air conditioning can play a vital role in mitigating such impacts. This study presents an experimental setup that utilizes a solar photovoltaic system to power an air conditioning unit. The system is installed in a 36 m2-research lab at The University of Jordan, equipped with PV panels with a capacity of 2.67 kWp, a battery pack, a charge controller, an inverter charger, and an air conditioning unit. Two testing scenarios are conducted: an on-grid system connected to the electrical grid and an off-grid system operating independently. A clear sky day and a partially cloudy day were selected for each scenario in testing. The results were evaluated based on the solar fraction, energy consumption, and operational time fraction (OTF). The solar fraction was found to be higher during periods of higher demand and ambient temperature, and the average OTF was 70 % for all trials. In off-grid trials, the system had maintained operation solely on PV power during the studied load profile in the clear sky day. In contrast, limitations in charging power caused system shutdown in the partially cloudy trial. An economic analysis for the local payback period (PBP) was conducted based on the Hourly Analysis Program and PVsyst software simulation, which shows an attractive simple local PBP for on-grid and off-grid systems of 6.91 and 6.4 years, respectively.

Smart Solar PV Monitoring System Using IoT

In the era of modernization, the Internet of Things (IoT) emerges as a pivotal technology, particularly in enhancing the performance and monitoring of solar energy systems. By integrating IoT into solar plants, real-time supervision becomes feasible, allowing users to monitor crucial parameters such as current, voltage, and light intensity. This monitoring system addresses the challenges associated with remote location monitoring, making it especially relevant for off-grid solar home systems in remote areas, including coastal communities. The IoT-based monitoring system enables users to remotely track the performance of solar panels and receive alerts for abnormal conditions such as panel breakage or excessive dust accumulation. Through mobile connectivity, users can access real-time data and receive warning messages in case of anomalies, facilitating efficient fault detection and maintenance. The proposed solution aims to prototype this IoT-enabled monitoring system, offering a cost-effective and scalable approach to monitoring and maintaining solar plants in remote locations. Key Words: Internet of Things (IoT), Solar Energy, light, Smart Solar, Temperature, Remote areas.

Assessing the Performance of Off-Grid Solar Photovoltaic Power Plants in Supporting Aquaponics Systems

In an aquaponics system, the electricity produced by photovoltaic solar power (PLTS) is stored in batteries and used to power the water pumps. Using natural microorganisms to transform fish waste into plant nutrients, aquaponics is a cultivation method that blends fish and plant cultivation. The aquaponics system helps reduce the amount of trash released into the environment and is beneficial to the environment. The main goal of this study is to evaluate an off-grid PLTS system's functionality as a DC water pump power source in an aquaponics setting. This study's goal is to evaluate how well the PLTS operates when powering the DC water pump that circulates water in the aquaponics system.According to performance tests, the off-grid PLTS generates an average energy of 503.8 Wh, which is enough to power the DC pump for 20 hours a day of water circulation. The water pump uses only 382.6 Wh of electricity each day. With an average solar panel efficiency of 4.97%, an average solar charge controller (SCC) efficiency of 60.51%, and an average pump efficiency of 79.91%, the Off-grid PLTS demonstrates efficiency. With a daily solar irradiation of 7.8 kWh/m2, the average energy loss in the solar panel is 5.29 kWh/kWp, whereas the average energy loss in the system is 0.10 kWh/kWp. All things considered, these results provide insight into how well the Off-grid PLTS functions as a power source for the DC water pump in an aquaponics system.

Multi-objective optimization and long-term performance evaluation of a hybrid solar-hydrogen energy system with retired electric vehicle batteries for off-grid power and heat supply

This paper presents a novel off-grid hybrid renewable energy system integrated with hydrogen production and retired electric vehicle (EV) batteries for combined power and heat supply to a small rural community. The system consists of photovoltaic (PV) panels, evacuated tube solar collectors, a proton exchange membrane fuel cell (PEMFC), an alkaline electrolyzer, compressed hydrogen storage tanks, and reused lithium-ion batteries from EVs. A new battery model is developed in the Transient System Simulation Program (TRNSYS) to capture the capacity degradation of retired batteries. A two-stage energy management strategy is proposed to regulate power flow and maximize solar energy utilization. The system is optimized for minimum power supply disruption, hot water supply disruption, energy waste, and annualized costs over a 20-year lifetime using a multi-objective NSGA-II algorithm coupling MATLAB and TRNSYS. Optimization results reveal tradeoffs between the competing objectives. Dynamic simulations show the water tank temperature fluctuates between 20 and 100 °C with mean values dropping slightly in later years due to battery degradation. Energy waste from components rises in later years for the same reason. The replacement interval for a retired EV battery module is around 2.5 years. The integrated system proves feasible for off-grid combined power and heat supply using solar energy and retired EV batteries as storage, though battery degradation impacts long-term performance.

Optimizing Renewable Energy Integration: A Case Study of Standalone PV-Battery Systems in IZTECH Campus

In this research paper the feasibility of renewable-powered, self-sufficient university campuses was explored by conducting a technoeconomic analysis of standalone PV-Battery systems for the buildings of Izmir Institute of Technology (IZTECH) in Izmir, Turkey. Given the high energy demand and dependence on fossil-based grids by universities, integrating renewables becomes important for minimizing carbon footprints. In this study the campus's solar potential was focused and the techno-economic feasibility of grid-independent operations provided by PV-battery systems was evaluated. Four scenarios were investigated: (i) maximum PV installation for each building (MPVB), (ii) maximum PV installation for the entire campus (MPVC), (iii) necessary PV installation for self-sufficiency of each building (NPVB), and (iv) necessary PV installation for self-sufficiency of the whole campus (NPVC). The first two scenarios considered the maximum achievable rooftop PV installation while the latter two included additional PV installation to cover all electricity needs. For all scenarios both lead-acid and Li-ion batteries were considered. Mathematical models were developed using PVSol and TRNSYS software, and technoeconomic analysis was conducted using Levelized Cost of Energy (LCOE) and Net Present Value (NPV) methods. It was found that the NPVC scenario with lead-acid batteries is the most favorable, as it minimizes battery utilization by enabling more PV installation and facilitating energy transfer between buildings. Additionally, the research showed that off-grid PV-battery systems are economically less feasible compared to on-grid counterparts, primarily due to the high cost of batteries.

Sustainable off-grid residential heating and desalination: Integration of biomass boiler and solar energy with environmental impact analysis

As global energy demand rises and the environmental impact of fossil fuel-based heating systems becomes increasingly evident, transitioning to renewable energy sources like solar and biomass for residential use is imperative. This is further underscored by the growing scarcity of freshwater resources, especially in arid urban environments. This study introduces an innovative off-grid system that effectively integrates a floor heating system with a vapor compression desalination unit. The novelty of this study lies in its approach to combining solar and biomass energies for both heating and desalination in a single off-grid system. The system's electrical and thermal energy needs are met by combining photovoltaic thermal collectors and a biomass boiler. Using TRNSYS software, the system's performance was evaluated in varying design configurations across Riyadh, Doha, and Abu Dhabi, targeting optimal thermal comfort for a standard residence with four occupants. Results show Riyadh leading in solar fraction at 48.43%, followed by Abu Dhabi (47.23%) and Doha (44.85%). The optimal equivalent heat transfer coefficient for the floor heating system varied notably between these cities, with Abu Dhabi requiring a lower coefficient to achieve thermal comfort. Additionally, a life cycle analysis revealed that the biomass boiler is the predominant source of CO2 emissions, contributing over 70% of the total in each city. Riyadh exhibited the lowest CO2 emissions, attributed to its higher solar fraction. This study demonstrates the system's versatility across different urban climates and its potential to lessen dependence on traditional energy sources, positioning it as a promising solution for future off-grid applications.

Optimal Sizing and Techno-Economic Analysis of a Hybrid Power System for Postville

Providing reliable and sustainable electricity to remote communities poses a significant challenge. Techno-economic feasibility of an off-grid hybrid renewable energy system for Postville, a remote Northern Labrador, Canada community, is presented in this paper. The study integrates solar photovoltaic panels, wind turbines, battery storage, and diesel generators into a hybrid system, analyzing various components and optimizing using advanced Homer Pro software. Simulation results demonstrate that the most optimized hybrid structure ensures a stable power supply while minimizing diesel generator operation, reducing fuel consumption. Economically, this system offers substantial cost savings, alleviating the financial burden on the community. The designed system consists of 435 kW PV, 500 kW wind turbine, 455 kW diesel generator, and 815 kWh batteries. The proposed system will generate power with a net present cost of $5.57 million. This research also contributes to the broader goal of creating sustainable energy solutions and improving the quality of life in remote communities.

Multi-objective optimization and sustainable design: a performance comparison of metaheuristic algorithms used for on-grid and off-grid hybrid energy systems

Alternative energy sources are needed for a sustainable world due to rapidly increasing energy consumption, fossil fuels, and greenhouse gases worldwide. A hybrid renewable energy system (HRES) must be optimally dimensioned to be responsive to sudden load changes and cost-effective. In this study, the aim is to reduce the carbon emissions of a university campus by generating electricity from a hybrid energy production system with solar panels, wind turbine, a diesel generator, and battery components. On the university campus where the hybrid energy system will be installed, the ambient temperature, solar radiation, wind speed, and load demands have been recorded in our database. Optimization algorithms were used to select the power values of the system components to be installed using these data in an efficient and inexpensive manner according to the ambient conditions. For optimal sizing of HRES components, gray wolf optimizer combined with cuckoo search (GWOCS) technique was investigated using MATLAB/Simulink. In this way, it has been tried to increase their efficiency by combining current optimization techniques. The cornerstone of our optimization efforts for both on-grid and off-grid models pivots on a constellation of critical decision variables: the power harvested from wind turbines, the productivity of solar panels, the capacity of battery storage, and the power contribution of diesel generators. In our pursuit of minimizing the annual cost metric, we employ a tailor-made function, meticulously upholding an array of constraints, such as the quotient of renewable energy and the potential risk of power disruption. A robust energy management system is integral to our design, orchestrating the delicate power flow balance among micro-grid components—vital for satisfying energy demand. Upon analyzing the outcomes of the study, it is apparent that the proposed Scenario 1 HRES effectively utilizes solar and battery components within the off-grid model, surpassing the efficiency of four other hybrid scenarios under consideration. Regarding optimization processes, the off-grid model exhibits superior results with the implementation of the GWOCS algorithm, delivering faster and more reliable solutions relative to other methodologies. Conversely, the optimization of the on-grid model reaches its optimal performance with the application of the cuckoo search algorithm. A comprehensive comparison from both technical and economic view points suggests the on-grid model as the most feasible and suitable choice. Upon completion of the optimization process, the load demand is catered to by a combination of a 2963.827-kW solar panel, a 201.8896-kW battery, and an additional purchase of 821.9 MWh from the grid. Additionally, an energy surplus sale of 1379.8 MWh to the grid culminates in an annual cost of system (ACS) of 475782.8240 USD, a total net present cost of 4815520.2794 USD, and a levelized cost of energy of 0.12754 USD/kWh. Solar panels cover the entire system, and the renewable energy fraction is 100%.