Wind-solar Hybrid Power Generation Research Articles

Floating body motion coupling study and economic evaluation of different floating photovoltaic arrangement schemes under hybrid solar-wind power generation

Abstract Reducing the number of anchor points and moorings for floating platforms is one of the ways to reduce the integration and maintenance costs of floating offshore wind and solar farms. This paper focuses on the technical feasibility and economic viability of reducing the number of anchor points and moorings for floating offshore PV platforms by using a monopile of a stationary wind turbine as a mooring anchor point and introducing a shared line system. In this paper, three different floating solar layouts and their corresponding mooring systems are numerically evaluated and optimized under different environmental loading conditions using the commercial software OrcaFlex. The results of the study show that the implementation of a shared mooring solution maximizes the cost-effectiveness economically while technically ensuring stable operation.

The wind-solar hybrid energy could serve as a stable power source at multiple time scale in China mainland

The instability of wind and solar power hinders their penetration into electrical transmission networks. Hybrid wind-solar power generation can mitigate the instability of wind or solar power. However, research on complementary methods and the temporal distribution of wind and solar energies remains insufficient. In this study, well-validated and used high-resolution reanalysis data were used to explore the complementarity between wind and solar power on multiple time scales across China mainland. Researchers have found that wind and solar energies are strongly complementary from seasonal to hourly time scales. Wind-solar hybrid power generation can increase the availability of renewable energy by 15%–25 %, and a continuous renewable power supply can be achieved during daytime hours. In addition, the authors found that the complementary strength between wind and solar power could be enhanced by adjusting their proportions. This study highlights that hybrid wind-solar systems can provide a stable energy source. The complementary deployment of wind and solar energies should be considered in future applications.

A Stabilization Control Strategy for Wind Energy Storage Microgrid Based on Improved Virtual Synchronous Generator

In high-penetration renewable-energy grid systems, conventional virtual synchronous generator (VSG) control faces a number of challenges, especially the difficulty of maintaining synchronization during grid voltage drops. This difficulty may lead to current overloads and equipment disconnections, and it has an impact on the security and reliability of the system, as well as limiting the dynamic reactive power support capability of the system. To solve this problem, in this study, a wind–solar hybrid power generation system is designed with a battery energy storage device connected on the DC side, and proposes a low voltage ride-through (LVRT) control strategy for the grid-connected inverter based on an improved VSG. The control strategy employs an integrated current limiting technique combining virtual impedance and vector current limiting to ensure that the VSG exhibits good dynamic power support characteristics during symmetrical faults by adjusting the setpoint value of reactive power. At the same time, it maintains the synchronization and power angle stability of the VSG itself to achieve the goal of LVRT. Simulation results show that the proposed control strategy can effectively suppress the renewable power fluctuations (about 30% reduction in fluctuations compared to the conventional strategy) and ensure the safe and reliable operation of the renewable energy sources and VSGs during grid-side faults. In addition, it provides a given reactive power support and stable grid voltage control (voltage dips reduced by about 20%), which significantly enhances the LVRT capability of the hybrid wind–solar-storage generation system.

An Efficient Off-grid Express Cabinet Based on Wind-solar Hybrid Power Generation System

In order to effectively solve the shortcomings of traditional express cabinets such as limited service places and seasonal power supply obstacles, this paper studies an off-grid express cabinet using wind-solar complementary principle, which is mainly composed of near-ground and low-speed wind power generation device, solar photovoltaic battery pack, controller, battery pack and DC load. The double-axis tracking solar panels or fixed photovoltaic panels can be used for different regions. At the same time, it can be combined with a near-ground and low-speed wind power generation device to provide a stable power supply for the express cabinets. By programming the control, the power generated by wind-solar hybrid power generation is provided to the load as a priority. The remaining electric energy is stored in the battery pack. The system effectively overcomes the disadvantages of limited-service locations and unstable power supply caused by seasonal barriers in traditional express cabinets. It has the advantages of energy-saving, environmental protection, short payback period, and wide range of supply.

Study on the structure of offshore wind and solar hybrid power generation device under the background of green energy

There are sufficient solar and wind energy in the sea, which can be used as a good power generation energy and obtain great energy value. Therefore, the development of offshore green energy has become the mainstream trend. This paper mainly focuses on the study of offshore wind solar energy generation structures. This paper first introduces the principle of wind power generation and photovoltaic power generation and the existence of a large amount of energy offshore, and then leads to the basic structure of wind-solar hybrid power generation structure. Then it further studies the power generation, wind load, wave load, initial stability and economic type. Finally, the advantages and future environmental benefits of the structure are summarized, and the structure is reformed reasonably. The results show that the structure has good stability, load bearing capacity and economy, and the construction difficulty of the improved structure has been reduced.

Evaluation of wind-solar hybrid power generation system based on Monte Carlo method

<span lang="EN-US">The application of wind-photovoltaic complementary power generation systems is becoming more and more widespread, but its intermittent and fluctuating characteristics may have a certain impact on the system's reliability. To better evaluate the reliability of stand-alone power generation systems with wind and photovoltaic generators, a reliability assessment model for stand-alone power generation systems with wind and photovoltaic generators was developed based on the analysis of the impact of wind and photovoltaic generator outages and derating on reliability. A sequential Monte Carlo method was used to evaluate the impact of the wind turbine, photovoltaic (PV) turbine, wind/photovoltaic complementary system, the randomness of wind turbine/photovoltaic outage status and penetration rate on the reliability of Independent photovoltaic power generation system (IPPS) under the reliability test system (RBTS). The results show that this reliability assessment method can provide some reference for planning the actual IPP system with wind and complementary solar systems.</span>

Review of Hybrid Wind-Solar PV Technology in the Generation of Electricity

Achieving sustainability by utilizing alternative energy sources viable technological possibilities for creating sustainable energy, the sun, biomass, wind, geothermal resources, hydropower, and ocean resources are considered. Despite the fact that the total amount of energy produced by PV cells and wind turbines is still far less than that of fossil fuels, their ability to generate electricity has significantly expanded in recent years. This article provides an overview of the Solar-Wind hybrid power system, which generates electricity by combining the Sun and Wind, two renewable energy sources. Microcontrollers are widely used in the field of system management. We can maximize the utilization of those resources by employing this strategy, which takes into account the distinct production processes of each resource. Furthermore, it increases dependability and decreases reliance on any single input. This hybrid solar-wind power generation system is suitable for both industrial and residential applications.

Energy Storage Optimization of Wind Solar Hybrid Power Generation System Based on Improved Grasshopper Algorithm

During the heating period, the solid thermal storage electric boiler is added to use the waste electricity for local heating, and the corresponding energy storage optimization model of wind solar hybrid power generation system is constructed with the maximum waste electricity contotalityption and the minimum power purchase cost as the objective function, and the contotalityption and waste electricity constraint, system power balance constraint, electric boiler power constraint, heat storage constraint, and regulation times constraint as constraint conditions. Improved moth algorithm is constructed to solve the optimization model, and a Pareto solution set with both economy and reliability is obtained. Optimal compromise solution is screened out from the Pareto solution set, and optimal configuration capacity of the thermal storage electric boiler and annual amount of electricity discarded in the system can be obtained. Thus, the power rejection in the system can be reduced, promoting widespread use of independent renewable energy power generation systems.

Energy Mutual Networking Establishment Method Based on Hydrogen Production from Water Electrolysis Technology

The new power system has the characteristics of a high proportion of renewable energy power generation and multi-field interconnection. In order to reduce the carbon emission level of the new power system, it is necessary to improve the flexible response capability of the system in the form of different energy carriers. Analyze the feasibility of two hydrogen energy utilization technologies such as water electrolysis for hydrogen production and carbon dioxide hydromethanation, and propose to use hydrogen as an energy carrier to form an energy mutual networking, through the transformation between renewable energy-electricity-hydrogen energy-electricity-chemical energy, the flexible response capability of the new power system can be improved, and the carbon emission level of the new power system can be reduced. The method of building the energy mutual networking on the basis of water electrolysis for hydrogen production technology is as follows: first, use renewable energy for water electrolysis for hydrogen production, and use hydrogen to supplement power generation through fuel cells when the power output is insufficient; then, capture carbon dioxide generated by thermal power generation, use hydrogen to reduce carbon dioxide to produce methane and finally, hydrogen and methane are sent to the natural gas pipeline network for reuse. At the same time, an energy storage system with an appropriate capacity is installed in the new power system to stabilize the volatility of wind-solar hybrid power generation, and the use of wind-solar hybrid energy storage power generation technology can further improve the hydrogen production efficiency of renewable energy.

Design and Optimization of a Hybrid Solar–Wind Power Generation System for Greenhouses

The climate crisis and energy price increases make energy supply a crucial parameter in the design of greenhouses. One way to tackle both these issues is the local production of energy from renewable sources. Since the permitted photovoltaic power installation on a greenhouse roof is limited by the need for an adequate amount of photosynthetically active radiation at the crop level, the necessity of designing a hybrid production system combining different renewable sources, storage systems, and conventional sources arises. The present work addresses the multifactorial problem of the optimal design (in terms of energy production quality, produced electricity price and CO2 emissions) of a hybrid power generation system (photovoltaics/wind turbine/accumulators/oil generating unit) to meet greenhouse needs. The design accounts for the needs of production (for tomato cultivation) for different combinations of production and energy equipment (for microclimate management). Extended parametric studies for available solar and wind potential and energy demand are used to generalize the conclusions. Special attention is given to the contribution of various wind turbine sizes. The effect of greenhouse orientation and of photovoltaic modules arrangement on arched roofs is also examined and the different greenhouse energy systems are assessed in terms of energy cost and environmental footprint.

Normalized Maximum Correntropy Criterion Based Ripple Mitigation Strategy for Wind–Solar Hybrid Generation System Under Nonideal Grid Conditions

A doubly-fed induction generator (DFIG) integrated to a solar photovoltaic array for wind-solar hybrid power generation, exhibits large multiple-order ripples in DFIG torque as well as active and reactive grid powers, when subjected to a nonideal grid voltage scenario. In this context, this article aims to develop a ripple mitigation strategy based on a novel application of the normalized maximum correntropy criterion (NMCC). The NMCC-based strategy puts forth a comprehensive solution toward mitigating all the ripples emanating either due to voltage unbalance in the grid, or due to grid voltage distortions with both positive and negative sequences of any possible harmonic order. Additionally, the power ripples originating from unbalanced and nonlinear loads interfaced locally to the wind-solar hybrid system are also compensated. The strategy is devised to be parametrically robust and does not necessitate individual harmonics separation in either fluxes, voltages, or currents. Besides, need for inner loop PI, PR, or other complex regulators is also eliminated. Moreover, the control scheme is formulated as a modular structure to ensure distortion-less DFIG rotor currents and balanced-sinusoidal grid currents at nonideal voltages, even as the ripple mitigation loops are disabled. Experimental results from a laboratory test bench verify the effective operation of the NMCC-based control strategy.

Exploring the Regulation Reliability of a Pumped Storage Power Plant in a Wind–Solar Hybrid Power Generation System

In the coming decades, the proportion of wind–solar energy in power system significantly increases, resulting to uncertainties of power fluctuation in abundant wind–solar energy regions. The flexibility operation of Pumped Storage Power Plants (PSPPs) has already been widely recognized to regulate wind–solar power fluctuations; however, less is known about the regulation reliability of the PSPP affected by them. It is a challenge, since various uncertainties exist during this regulation process. Here, a mathematical model with a solar–wind–hydro hybrid power generation system is adopted to investigate the regulation reliability of PSPP. The uncertainties and limitations of model parameters are considered during this process. Five regulation indexes, i.e., rise time, settling time, peak value, peak time and overshoot of the reactive power generator terminal voltage, guide vane opening and angular velocity, are extracted to evaluate the PSSP’s regulation quality. Finally, the PSPP reliability probability affected by parametric uncertainties is presented. The obtained results show that the inertia coefficient is the most sensitivity parameters for the settling time, peak value and peak time with sensitivity index 33.7%, 72.55% and 71.59%, respectively. The corresponding total contribution rate of the top 10 sensitive parameters are 74.45%, 93.45% and 87.15%, respectively. Despite some types of uncertainties not being considered, the results of this research are important for the regulation reliability evaluation of PSPPs in suppressing power fluctuations of wind and solar generation.

Design of clean energy dispatching system for wind and solar storage

In order to optimize the capacity dispatch of energy storage system in grid-connected wind-solar hybrid power generation system, a method for optimizing the capacity of hybrid energy storage system composed of supercapacitors and batteries in grid-connected wind-solar hybrid power generation system is proposed by utilizing the generation data of wind power and photovoltaic and the dispatch data of power grid. Based on the method of Particle Swarm Optimizer (PSO), it was simulated that wind-solar hybrid power joined into the dispatch according to the rules of dispatch system. The best power dispatch was achieved by multi-objective particle swarm optimization (MPSO). The results show that the accuracy of capacity optimization of energy storage system can be improved by considering both the total continuous power loss and the instantaneous power loss. The hybrid energy storage system composed of supercapacitors and batteries can improve the overall security and economy of the power grid.

An Energy Storage Performance Improvement Model for Grid-Connected Wind-Solar Hybrid Energy Storage System.

This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system. In the specific solution, this study combines the distributed power generation system and the hybrid energy storage system, while using the static reactive power compensation system and the conductance-fuzzy dual-mode control method to increase output power in stages. At the same time, the optimal configuration model of the wind-solar hybrid power generation system is established using MATLAB/Simulink software. The output power of the microgrid to the wind-photovoltaic hybrid power generation system is calculated by simulation, and the optimization process of each component of the system is simulated. This study mainly uses the static reactive power compensation system and the conductance-fuzzy dual-mode control method to optimize the wind-solar hybrid power generation system. Using MATLAB software simulation verifies the feasibility and rationality of the optimal configuration of the system.

Modified Cascaded H-bridge Multilevel Inverter for Hybrid Renewable Energy Applications

Renewable energy sources and technologies have the potential to provide solutions to the long-standing energy problems being faced by developing countries. The renewable energy sources like wind energy, solar energy, geothermal energy, ocean energy, biomass energy and fuel cell technology can be used to overcome energy shortage in India. This paper proposes a modified multi-level inverter (MLI) topology for Hybrid Renewable Energy Sources (HRES) and a design of hybrid solar-wind power generation model with 9-level, 13-level and 17-level inverter topologies. A HRES connected to a modified Cascaded H-Bridge Multi Level Inverter (CHB-MLI) is developed, whose switches are controlled using Artificial Neural Network (ANN) model. The proposed hybrid energy system model consists of 10 Metal Oxide Semiconductor Field Effect Transistors (MOSFETs) that intend to give 17 levels of output voltage. The proposed topology performs effectively with reduced number of components and reduced Total Harmonic Distortion (THD). The performance of the proposed system is analyzed by designing the model in MATLAB/SIMULINK environment. The simulation results of the proposed inverter for the HRES application are compared with the results of the existing topologies to show the effectiveness of the proposed model.

Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region

Tourism development in ecologically vulnerable areas like the lake Baikal region in Eastern Siberia is a challenging problem. To this end, the dynamical models of AC/DC hybrid isolated power system consisting of four power grids with renewable generation units and energy storage systems are proposed using the advanced methods based on deep reinforcement learning and integral equations. First, the wind and solar irradiance potential of several sites on the lake Baikal’s banks is analyzed as well as the electric load as a function of the climatic conditions. The optimal selection of the energy storage system components is supported in online mode. The approach is justified using the retrospective meteorological datasets. Such a formulation will allow us to develop a number of valuable recommendations related to the optimal control of several autonomous AC/DC hybrid power systems with different structures, equipment composition and kind of AC or DC current. Developed approach provides the valuable information at different stages of AC/DC hybrid power systems projects development with stand-alone hybrid solar-wind power generation systems.

Design and implementation of a wind solar hybrid power generation system

Unmanned aerial vehicles (UAV) are becoming more and more popular. In all sectors of society can see the presence of unmanned aerial vehicles. However, the short flight time and flight distance always restrict the development of UAV. The most imminent and creative work is how to make the perfect combination of new energy technologies with UAVs. In this paper, a wind-solar hybrid power generation system and its operation scheme design are discussed, and the application of the wind solar hybrid power generation system controlled by a single-chip microcomputer is discussed. The experimental results show that this kind of power generation system and its operation scheme are improved compared with the conventional design.

Hybrid Power Generation by Using Solar and Wind Energy: Case Study

Energy is critical to the economic growth and social development of any country. Indigenous energy resources need to be developed to the optimum level to minimize dependence on imported fuels, subject to resolving economic, environmental and social constraints. This led to an increase in research and development as well as investments in the renewable energy industry in search of ways to meet the energy demand and to reduce the dependency on fossil fuels. Wind and solar energy are becoming popular owing to the abundance, availability and ease of harnessing the energy for electrical power generation. This paper focuses on an integrated hybrid renewable energy system consisting of wind and solar energies. Many parts of Libya have the potential for the development of economic power generation, so maps locations were used to identify where both wind and solar potentials are high. The focal point of this paper is to describe and evaluate a wind-solar hybrid power generation system for a selected location. Grid-tied power generation systems make use of solar PV or wind turbines to produce electricity and supply the load by connecting to the grid. In this study, the HOMER (Hybrid Optimization Model for Electric Renewable) computer modeling software was used to model the power system, its physical behavior and its life cycle cost. Computer modeling software was used to model the power system, its physical behavior and its life cycle cost. The hybrid power system was designed for a building at the University of Al-Marj (MARJU). Through the use of simulations, the installation of ten 100-kW wind turbines and 150-KW solar PV was evaluated.

Performance analysis of a wind-solar hybrid power generation system

In order to reduce wind curtailment, a wind-turbine coupled with a solar thermal power system to form a wind-solar hybrid system is proposed in this paper. In such a system, part or all of the curtailed wind power is turned into heat through an electric heater and stored in the thermal storage sub-system of the solar thermal power plant. To simulate and study the performance of the hybrid system, a simulation model of the hybrid system, which consists several modules/sub-models is developed. In addition, a capacity configurations optimization model based on particle swarm optimization algorithm is proposed to maximize the economic performance. An 80 MWe hybrid system in Zhangbei China is selected as the study case. The result shows that when the capacity ratio of the wind power generation to solar thermal power generation, thermal energy storage system capacity, solar multiple and electric heater capacity are 1.91, 13 h, 2.9 and 6 MW, respectively, the hybrid system has the highest net present value of $27.67 M. Correspondingly, compared to the conventional coal-fired power plant, it could reduce carbon dioxide emission by 15,470 tons per year. Besides, the sensitivity of each capacity parameter on the annual performances of hybrid system is analyzed in this paper. The results show that the electric heater can effectively reduce the wind curtailment and improve the overall system stability. The results also show that the hybrid system with bigger thermal storage system capacity and smaller solar multiple has better performance in reducing wind curtailment. And when the solar multiple is constant, mean power change rate decreases with the increase of thermal storage system capacity. The bigger the solar multiple is, the faster the decrease of mean power change rate is.

Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station

The wind-solar hybrid power generation project combined with electric vehicle charging stations can effectively reduce the impact on the power system caused by the random charging of electric cars, contribute to the in-situ wind-solar complementary system and reduce the harm arising from its output volatility. In this paper, the site selection index system of a landscape complementary power generation project is established by using the statistical methods and statistical analysis in the literature. Subsequently, using the Analytic Network Process to calculate the index weight, a cloud model was used in combination with preference ranking organization method for enrichment evaluations to transform and sort uncertain language information. Finally, using the results of the decision-making for the location of the Shanghai wind-solar complementary project and by carrying out contrast analysis and sensitivity analysis, the superiority and stability of the decision model constructed in this study was demonstrated.