Wind-solar Hybrid Power System Research Articles

Enhancement of Power Quality through the Implementation of a Hybrid Artificial Intelligence Model within Solar-Wind Energy Systems

The generation of electricity is significantly assisted by hybrid solar-wind power systems, which also play a crucial role in the advancement of intelligent grids. Furthermore, the integration of wind and solar energy storage control systems, in conjunction with energy markets, has rendered the electricity grid more economically feasible. To meet the growing demand for electricity, hybrid renewable energy systems connected to microgrids consist of substantial identifying elements. The issue of harmonic distortion in microgrids arising from nonlinear loads is a fundamental area of research. Understanding the impact of microgrids on power quality is also of great importance. This study focuses on enhancing power quality in solar-wind hybrid systems by incorporating emerging Artificial Intelligence (AI) methodologies. The proposed approach comprises two main components: (i) detection of distortions caused by voltage fluctuations and (ii) improvement of power quality through an AI-based control system. Initially, power distortions are identified and eliminated using the Enhanced Kalman Filter (EKF) algorithm. A Hybrid Artificial Neural Network with Fuzzy Intelligence (HANFI) model is then developed based on this power data. This model integrates two prominent neural network architectures with fuzzy systems. Experimental validation of the system is conducted using MATLAB, which facilitates the simulation of hybrid energy systems.

An Analysis on Integration of Solar and Wind Power into a Single-Phase Grid with an Optimal Parameterized Fractional-Order Pid Controller

Because of the complimentary nature of solar and wind electricity, hybrid solar-wind power systems are the most effective renewable energy sources. Weather conditions have a significant impact on the amount of power that can be generated by wind and solar photovoltaic systems. Their intermittent nature causes output fluctuations. The purpose of this research is to offer a technique for a hybrid wind–solar power plant that makes the most efficient contribution of renewable energy resources and is backed by technology that allows batteries to store energy. The fact that solar and wind power display power profiles that are complimentary was the driving force for the construction of the hybrid solar–wind power system.

An Analysis on Integration of Solar and Wind Power into A Single-Phase Grid with an Optimal Parameterized Fractional-Order Pid Controller

Because of the complimentary nature of solar and wind electricity, hybrid solar-wind power systems are the most effective renewable energy sources. Weather conditions have a significant impact on the amount of power that can be generated by wind and solar photovoltaic systems. Their intermittent nature causes output fluctuations. The purpose of this research is to offer a technique for a hybrid wind–solar power plant that makes the most efficient contribution of renewable energy resources and is backed by technology that allows batteries to store energy. The fact that solar and wind power display power profiles that are complimentary was the driving force for the construction of the hybrid solar–wind power system.

Economic analysis of hybrid solar-wind power system for application in Heipang community

Economic feasibility is one of the major criteria for selecting energy options for application in any location. One of the main drawbacks of renewable energy technology is its initial cost of investment which results in high energy tariffs making it unaffordable for low-income earners. The cost of renewable energy depends on many factors such as the potential of the renewable resources of the site and government policies on renewable energy technology. This paper aimed to determine the annualized cost of a designed hybrid solar-wind power system for the Heipang community to meet a load demand of 158.3kW and the sensitivity analysis of bank loan interest rate, inflation rate, day of autonomy, depth of battery discharge, and wind turbine rated velocity on the investment payback time. The cost of the components of the designed system was obtained from vendors and a techno-economic analysis was done using MATLAB software. Results show that the annualized cost of the hybrid solar-wind power system is ₦ 52,268,266.97, with battery, solar, and wind power systems taking 85%, 8%, and 7% of the total annualized cost respectively, and Levelized cost of energy ₦ 154.53/kWh. The analysis further shows that for ₦ 185.00, N 160.00, and ₦ 127.00 per kWh cost of energy at a 19% inflation rate and 20% bank interest rate, the investment payback times are 8.3, 9.5 and 11.9 years respectively, and 9.8, 11.4 and 14.3 years respectively. Information from this work may help policy-makers and would-be investors make informed decisions on renewable energy technology investment.

POWER QUALITY ENHANCEMENT IN A SOLAR-WIND HYBRID ENERGY GENERATION SYSTEM CONNECTED TO A STANDALONE MICRO-GRID

The present paper highlights several concerns with solar-wind hybrid energy systems that are associated with microgrids as well as potential improvements. In recent years, there have been more renewable energy options available. Alternatives to the present energy sources, such as renewable energy, are very good. The utilization of renewable energy sources like solar and wind power as a consistent energy source is widespread. The focus of this study is on microgrid connected solar-wind hybrid energy system performance analysis and control. In this paper, the harmonics of the system are controlled by passive filters. Additionally, several control topologies based on power electronics control are needed for the micro grid’s integration of various energy sources. A power electronics application is used in microgrids that use a variety of renewable energy sources, however some power quality problems frequently arise. The whole microgrid system's voltage management and voltage stability must be maintained, therefore these power quality issues must be fixed or at the very least reduced. An example of a solar-wind hybrid power system simulation using MATLAB is provided in this study. For micro-grid parameter adjustments, PI-PWM control is included into the MATLAB microgrid simulation. The outcomes of the simulation show that the present THD levels in the grid are less than 5%. The energy storage system also serves as a backup power source in this simulation for power variations brought on by irregular solar and wind power generation in the microgrid.

Development of a small-scale hybrid solar-wind power system for supporting tourism program at Sepanjang beach, Indonesia

Although many solar power plant as well as wind power plant have been developed and built, but none of those plants are built in a small- scale bybrid system for supporting tourism program so far. Thus, the present work aims to develop and build a small scale solar-wind hybrid power plant for tourism program at Sepanjang beach, Yogyakarta, Indonesia. The small- scale hybrid solar-wind power system is developed and installed successfully at Sepanjang beach Yogyakarta Indonesia. It can be concluded that the system able to generated electric power to which is used for electrification at the site. The system help to promote the tourism program at Sepanjang beach. From the performance test, it can be concluded that the wind turbine and the solar efficiency are 46.89% and 48.10%, respectively. Meanwhile, the overall efficiency of the system is about 22.50%.

Design and Development of Wind-Solar Hybrid Power System with Compressed Air Energy Storage for Voltage and Frequency Regulations

The intermittent nature of wind and solar photovoltaic energy systems leads to the fluctuation of power generated due to the fact that the power output is highly dependent upon local weather conditions, which results to the load shading issue that led to the voltage and frequency instability. In additional to that, the high proportions of erratic renewable energy sources can lead to erratic frequency changes which affect the grid stability. In order to reduce this effect, the energy storage system is commonly used in most wind-solar energy systems to balance the voltage and frequency instability during load variations. One of the innovative energy storage systems is the compressed air energy storage system (CAES) for wind and solar hybrid energy system and this technology is the key focus in this research study. The aim of this research was to examine the system configuration of the CAES system through modelling and experimental approach with PID controller design for regulating the voltage and frequency under different load conditions. The essential elements and the entire system have been presented in this work as thorough modelling in the MATLAB/Simulink environment for different load conditions. The developed model was tested through an experimental workbench using the developed prototype of the compressed air storage in the Siemens Lab at DeKUT and explored the consequence of the working parameters on the system proficiency and the model accuracy. The performance of the system for the developed prototype of CAES system was validated using results from an experimental workbench with MATLAB/Simulink R2022b simulation. The modeling and experimental results, shows that the frequency fluctuation and voltage drop of the developed CAES system during load variations was governed by the I/P converter using a PID_Compact controller programed in the TIA Portal V17 software and downloaded into PLC S7 1200. Based on these results, the model can be applied as a basis for the performance assessment of the compressed air energy storage system so as to be included in current technology of wind and solar hybrid energy systems.

Development of a wind turbine for a hybrid solar-wind power system

Conventional energy supply has not been able to meet the energy needs of most developing nations. This calls for the need to invest in renewable energy systems which are not only sustainable but clean, abundant, and easily assessable. This research presents a study of wind variability by using wind data got from a weather station to design and fabricate a small-scale horizontal axis wind turbine (HAWT). This was done by using locally sourced materials for a Hybrid Solar-Wind power system for irrigation purposes, as a performance evaluation of the turbine. The materials used in the fabrication of the turbine include wood, polyvinyl chloride plastic, acrylic glass, Teflon, and steel all sourced locally. From the evaluation, the power capacity of the wind turbine was derived to be 40 W, 41 W and 43 W from the voltage and current output reading on the multi-meter from three average wind speed variations of 5 m/s, 10 m/s and 15 m/s measured from handheld digital anemometers respectively. A regression analysis of the relationship between the turbine's power capacity and the wind speed showed that the turbine operates best at low speed of 5 m/s, with an R2 value of 0.9602. The fabricated wind turbine was connected to a hybrid power system with the second energy source consisting of a 40 W solar tracking system to give a more stable power supply. The system was used for soil monitoring irrigation purposes. The design of the HAWT indicates a cheap, alternative and sustainable energy source that is more stable and suitable for smart solar panel irrigation system.

Generation of Hybrid Energy System (Solar-Wind) Supported with Battery Energy Storage

Abstract: The utilization of renewable energy is significantly important for the world because global energy consumption is increasing, while conventional energy sources are no longer sufficient to meet the energy demand, triggering energy crises. In recent years, the increasing prices of fossil fuels and concerns about the environmental consequences of greenhouse gas emissions have renewed the interest in the development of alternative energy resources. Renewable energy is now considered a more desirable source of fuel than nuclear power due to the absence of risk and disasters [1]. Considering that the major component of greenhouse gases is carbon dioxide, there is a global concern about reducing carbon emissions. In this regard, different policies could be applied to reducing carbon emissions, such as enhancing renewable energy deployment and encouraging technological innovations. There are various of renewable energy sources such as Solar, biomass, wind, hydrogen, fuel cell, nanocomposite, and supercapacitor. Each of the energy sources are suitable for specific geographical locations and can suits from region to region. However, variation in solar radiation and wind speed caused by climate and weather conditions restricts the stable operation of renewable energy systems, therefore, causing the output to fluctuate. A hybrid renewable energy generation system can be highly efficient by combining multiple renewable energy sources and is regarded as a promising solution to overcome from this issue. Hybrid solar systems are the systems combining two renewable sources of energy, like solar and wind. Then, energy is generated through solar on sunny days and when there is limited sunshine but there is wind, energy can be generated through it. The study aims to focus on generation of hybrid solar-wind power plant with the optimal contribution of renewable energy resources supported by battery energy storage technology. The motivating factor behind the hybrid solar–wind power system design is the fact that both solar and wind power exhibit complementary power profiles. Advantageous combination of solar and wind with optimal ratio will lead to clear benefits for hybrid solar-wind power plants such as smoothing of intermittent power, higher reliability, and availability. However, the potential challenges for its integration into power grids cannot be neglected. A potential solution is to utilise one of the energy storage technologies, though all of them are still very expensive for such applications, especially at large scale. Therefore, optimal capacity calculations for energy storage system are also vital to realise full benefits. Currently, battery energy storage technology is considered as one of the most promising choices for renewable power applications. However, solar-wind power technology are most suitable for off-grid services, serving the remote are without having to build or extend expensive and complicated grid infrastructure. Therefor standalone system using renewable energy sources have become a preferred option. Hence hybrid energy systems are an ideal solution since they can offer substantial improvements in performance and cost reduction and can be tailored to varying end user requirements

Design, Sizing and Optimization of a Solar- Wind Hybrid Power System

Design, sizing and optimization of a solar-wind hybrid power system was carried out to determine its economic feasibility using Hybrid optimized model for electric renewable (HOMER) software aimed at selecting the most feasible configuration based on the net present cost to meet the load demand of 425 W for the appliances in a departmental office at Joseph Sarwuan Tarka University, Makurdi. The simulation results were used to develop a working prototype by sizing the four major components: the solar panels (350 W), a wind turbine (100 W), 2 battery systems of 12 V/200Ah and a charge controller (35.4 A) to regulate battery charging. The efficiencies of the wind turbine, PV solar panels and the inverter system were 48, 29.2 and 50 % respectively. The contribution of PV was 98 % and that of the wind turbine was 2 % due to low average wind speed (1.96 m/s at 15 m) from February to April. The results showed that solar energy contributed more to the charging of the inverter than the wind energy due to the high favorable solar insolation in the region. The optimized system configuration was chosen and this was based on the net present cost, levelized cost of energy and its renewable fraction respectively. The results demonstrated that the best hybrid combination consists of 0.35 kW PV Panels, 1 unit of 0.1 kW wind turbine, 2 units of deep cycle batteries (12V each/200Ah) and 1 unit of 1600 W Inverter. The prototype of the solar - wind hybrid power system based on the optimized components met the load demand for the basic appliances in the office. The results can be expanded to cover the entire department and the templates so obtained can be used generally within the University Community.

A simulation study of solar wind hybrid power system

The global power shortages and pollution can be efficiently overcome by using renewable resources. But the continuous use of these sustainable resources is not very easy because of probability of availability and disturbances associated. The present work is based on a multiple renewable energy assets such as the sun and wind. In the proposed paper, the combination of a solar-powered and a wind-powered half-breed structure is studied and simulated in MATLAB software. The proposed work also validates the fact that a hybrid combination of multiple resource provide more reliable and economic feasible solutions than a single sun-based or a single wind based power unit. The proposed Simulink model also examined the management of active and reactive power profiles of the system.

Structural Optimization of Compact Spherical Wind-Solar Hybrid Power System

Structural Optimization of Compact Spherical Wind-Solar Hybrid Power System

Capacity Coordination Planning Model of wind solar storage hybrid power system

Based on the daily and monthly characteristics of wind power and photovoltaic output, the wind power / photovoltaic sequence model based on the daily and monthly characteristics is constructed. Considering the generation constraints, energy storage constraints, system power balance constraints and renewable energy consumption rate constraints of each unit, the coordinated optimization planning model of wind photovoltaic storage complementary power system capacity is constructed to determine the different renewable energy consumption rate fields The optimal capacity of wind power, photovoltaic and energy storage. The results show that the optimal installed capacity of wind power, photovoltaic power and energy storage is different under different scenarios of renewable energy consumption rate and tie line utilization rate, but the impact of energy storage capacity is small.

Utilization of renewable energy sources in generation and distribution optimization

Renewable energy is natural energy source, clean, affordable, and effectively infinite. It results in pollution free air and no harmful waste. The benefit of renewable energy doesn’t deplete where in case of fossil fuels happens. Here Fossil fuels prescribed and will be not their availability, but the same thing will not get with these natural sources like wind and solar because Sun will continue to bright, wind also continue to blow for sure. These generation systems now giving assurance and the great beneficial renewable energy methods. As per updates wind power industry is simply one of the fastest updated expanding industries because of huge growth of installed capacity. Hybrid wind-solar system fastest expanding industries because of rapid growth of existing capability. These sources when acting solo can oscillate, when combined both provides a continue generation of source. The suitable mitigation is to add both the renewable sources to get uninterrupted supply. This paper reveals how a standalone act in hybrid power generating system which contains of solar-wind hybrid power system and to strengthen benefit of natural energy creating system to reduce the entire cost of the method.

Paper Modeling of Wind-Solar Hybrid Power System for Off-Grid in Nepal and a Case Study

The adaptation of renewable energy has been increasing in a very encouraging way all over the world. Among various renewable energy resources, wind and solar energy are the promising sources of alternative energy. Wind and solar photovoltaic (PV) have been employed in parallel as a hybrid system for better electricity service. This paper presents a case study and modeling of wind-solar hybrid system in Hriharpur Gadi village, Sindhuli District, Nepal. The hybrid system yields 110kWh of energy per day meeting the village’s electricity demand of 87 kWh per day. Moreover, the hybrid power system with battery storage system is modeled using MATLAB simulator. Further, improvising in the existing modeling has been presented to enhance the efficiency and effectiveness of the system.

Study on Hybrid Solar Wind Power System with PMSG for Power Enhancement Using AI Technique

This paper reviews different permanent magnet synchronous generator (PMSG) operated in wind energy systems and solar energy systems. A complete survey has been made towards the new contributions for harmonic compensation and new efficient topologies in the last five years to improve the efficiency, reliability and cost of the wind energy system. Different power electronic converters, which are connected between generator and the load/ grid, have been investigated on based on harmonic compensation, efficient working, and high power rating conversion. The wind generation system is still a challenge to extract smooth power from wind. To improve the power quality of the system such as islanding problem and power variation, different renewable storage systems are discussed and compared. Finally, discussion about the different controller is presented to fulfill the load or grid requirement.

Study on Hybrid Solar Wind Power System with PMSG for Power Enhancement Using AI Technique

This paper reviews different permanent magnet synchronous generator (PMSG) operated in wind energy systems and solar energy systems. A complete survey has been made towards the new contributions for harmonic compensation and new efficient topologies in the last five years to improve the efficiency, reliability and cost of the wind energy system. Different power electronic converters, which are connected between generator and the load/ grid, have been investigated on based on harmonic compensation, efficient working, and high power rating conversion. The wind generation system is still a challenge to extract smooth power from wind. To improve the power quality of the system such as islanding problem and power variation, different renewable storage systems are discussed and compared. Finally, discussion about the different controller is presented to fulfill the load or grid requirement.

Cost Minimization of Battery-Supercapacitor Hybrid Energy Storage for Hourly Dispatching Wind-Solar Hybrid Power System

This study demonstrates a dispatching scheme of wind-solar hybrid power system (WSHPS) for a one-hour dispatching period for an entire day utilizing battery and supercapacitor hybrid energy storage subsystem (HESS). A frequency management approach is deployed to extend the longevity of the batteries through extensively utilizing the high energy density property of batteries and the high power density property of supercapacitors in the HESS framework. A low-pass filter (LPF) is employed to decouple the power between a battery and a supercapacitor (SC). The cost optimization of the HESS is computed based on the time constant of the LPF through extensive simulations in MATLAB/SIMULINK platform. The curve fitting and Particle Swarm Optimization approaches are applied to seek the optimum value of the LPF time constant. Several control algorithms as a function of the battery state of charge are developed to achieve accurate estimation of the grid reference power for each one-hour dispatching period. This estimation helps to minimize the energy storage cost, in addition to ensuring that the HESS has sufficient capacity for next-day operation. The optimum value of depth of discharge for HESS considering both cycling and calendar expenses has also been investigated for the best competitive energy storage cost for hourly dispatching the power of the WSHPS. This research also presents an economic comparison to investigate the significance of using different types of energy storage for hourly dispatching the WSHPS. The simulation results show that the presented HESS is superior to battery or SC-only operation.

Modeling and simulation of novel dynamic control strategy for PV–wind hybrid power system using FGS−PID and RBFNSM methods

During the past years, hybrid solar-wind power systems containing photovoltaic (PV) and wind generators are used to minimize the intermittency problem of renewable power generation units. The improved modeling and control schemes for a grid-tied hybrid PV–wind system is presented in the current research work. The maximum power point tracking namely “MPPT” algorithm together with controlling the pitch angle are used, respectively, for the PV system and wind power generation to attain the maximum power for any given external weather conditions. A radial basis function network sliding mode known as the RBFNSM method is used to control the pitch angle in the wind energy system, while the PV system uses a proportional–integral–derivative controller equipped with the fuzzy gain scheduling in order to enhance the transient state and mitigate the settling time to ensure the stability of the mentioned system. To test the suggested control scheme’s effectiveness, MATLAB simulations are carried out under various scenarios of the wind speed as well as solar irradiation. The obtained results show the efficiency of the adaptive MPPT method to harness the highest power under very challenging scenarios. The merits of the developed schemes are quickly and precisely tracking the maximum power output of the hybrid PV–wind system. Besides, the power flowing between the utility grid and the hybrid source with a fast transient response and improved stability performance is effectively controlled using the offered schemes.

Optimization Techniques and Multi-Objective Analysis in Hybrid Solar-Wind Power Systems for Grid-Connected Supply

Renewable energy has become a vital source for generating electricity, mitigating greenhouse gas emissions, and eliminating the reliance on non-renewable forms of energy. This work highlights on the urgent need for clean, efficient, and resilient energy sources through the development of advanced optimization methods. The hybrid solar-wind systems are meant to maximize power generation. Complexity arises when determining the optimum design, size, functionality, materials, distribution, and mechanism of each system as they are combined to ensure system reliability and optimal outcomes. The development of the new optimization methods (such as genetic algorithms, heuristic approaches, and particle swarm techniques) was generated to overcome the encountered barriers in traditional or classical approaches; such as in iterative techniques and linear programming methods. Additionally, the multi-objective analysis has been involved in various studies where vectors, criteria, and alternatives are applied with respect to the main objectives. However, further research efforts are encouraged to innovatively optimize hybrid solar-wind systems; including the optimization of hybrid solar-wind sizing (HSWS), design, capacity, battery storage, energy distribution systems and techno-economical considerations.