scholarly journals Grid Connected Hybrid Renewable Energy System with Various Controller Implementation

2020 ◽  
Vol 9 (4) ◽  
pp. 1003-1011
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Fuel Cell ◽  
Renewable Energy Sources ◽  
Pi Controller ◽  
Voltage Source ◽  
Energy Sources ◽  
Renewable Sources ◽  
Hybrid Renewable Energy System ◽  
Hybrid Renewable Energy

In power industry due to fast industrialization the generation system has upswing towards strongly procuring energy from various non-conventional energy sources (RES). Persistent work is carried out in order to use additional energy obtained from the renewable sources and limiting the dependence on the conventional energy sources. The amalgamation of various Hybrid Renewable Energy Sources (HRES) i.e. Solar, Wind and Fuel cell including load forms a Micro grid, the realistic management of energy from these renewable sources to accommodate the demand at the consumer end with proper efficiency is necessary. This paper proposes a hybrid system comprising of three energy sources PV, Wind and Fuel Cell and is connected to the grid by using power electronic converters using MATLAB/SIMULINK. A control circuit is designed by using PI controller and fuzzy logic based controller for providing gate signals to the inverter. The voltage profile when connected to a load by using various controllers is studied. A comparison study and behavior of source voltage, source current, load voltage and load current is studied by using PI controller and fuzzy logic controller.

Fuzzy logic control of a hybrid renewable energy system: A comparative study

2021 ◽  
pp. 0309524X2110287
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Control Strategies ◽  
Storage System ◽  
Energy System ◽  
Renewable Sources ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Modeling Uncertainties ◽  
Hybrid Renewable Energy

In this paper the authors have developed a hybrid renewable energy system. The studied structure comprises a wind energy generator, a shaded photovoltaic generator associated to an inertial storage system. The modeling of the global structure is developed and the control strategy is discussed. Conventional methods have been used to control the renewable sources. However, they may not have a suitable performance if the controlled system contains nonlinearity, as the wind turbine system or the shaded photovoltaic generator. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. Fuzzy logic is used to control both the wind generator’s pitch angle and the maximum power point tracking (MPPT) of a shaded photovoltaic generator. The control of the storage flywheel, associated with the studied structure, to regulate the power supplied by renewable sources is also discussed. The design of the proposed strategy and its comparison with conventional controllers are carried out. The proposed method effectiveness is verified by MATLAB simulation results.

scholarly journals Future Challenges in Energy Management System for Hybrid Renewable Energy System

2020 ◽  
Vol 8 (6) ◽  
pp. 913-919
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Diesel Generator ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Future Challenges ◽  
Hybrid Renewable Energy

Taking into consideration of continuously increasing consumption of the electricity and perturb towards environmental issues, renewable energy sources have been broadly used for generation of electricity. A Hybrid Energy System can be elucidated as systems which consist of various energy sources such as wind, solar, fuel cell, diesel generator and storage systems such as batteries to store energy are integrated and interconnected to satisfy the load energy demand. This paper infers the generation of electricity by utilizing the Hybrid Renewable Energy System (HRES). This paper presents the modelling and future challenges of the HRES.

Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization

2021 ◽  
pp. 353-384
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Energy System ◽  
Energy Sources ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.

Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization

2018 ◽  
pp. 58-89 ◽  
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Energy System ◽  
Energy Sources ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.

Modeling an Energy Storage System Based on a Hybrid Renewable Energy System in Stand-alone Applications

2017 ◽  
Vol 68 (11) ◽  
pp. 2641-2645
Author(s):  
Alexandru Ciocan ◽  
Ovidiu Mihai Balan ◽  
Mihaela Ramona Buga ◽  
Tudor Prisecaru ◽  
Mohand Tazerout
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Hybrid Renewable Energy System

The current paper presents an energy storage system that stores the excessive energy, provided by a hybrid system of renewable energy sources, in the form of compressed air and thermal heat. Using energy storage systems together with renewable energy sources represents a major challenge that could ensure the transition to a viable economic future and a decarbonized economy. Thermodynamic calculations are conducted to investigate the performance of such systems by using Matlab simulation tools. The results indicate the values of primary and global efficiencies for various operating scenarios for the energy storage systems which use compressed air as medium storage, and shows that these could be very effective systems, proving the possibility to supply to the final user three types of energy: electricity, heat and cold function of his needs.

scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

scholarly journals Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1960
Author(s):  
Tatsuya Hinokuma ◽  
Hooman Farzaneh ◽  
Ayas Shaqour
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Economic Analysis ◽  
Fuzzy Logic Control ◽  
Energy System ◽  
Levelized Cost Of Electricity ◽  
Logic Control ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar–wind–hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing MPPTs, the proposed MPPT provides rapid power control with small oscillations. The dynamic simulation of the proposed hybrid renewable energy system (HRES) was performed in MATLAB-Simulink, and the model results were validated using an experimental setup installed in the Chikushi campus, Kyushu University, Japan. The techno-economic analysis (TEA) of the proposed system was performed to estimate the optimal configuration of the proposed HRES, subject to satisfying the required annual load in the Chikushi campus. The results revealed a potential of 2% surplus power generation from the proposed HRES, using the FLC-based MPPT system, which can guarantee a lower levelized cost of electricity (LOCE) for the HRES and significant savings of 2.17 million yen per year. The TEA results show that reducing the cost of the solar system market will lead to a reduction in LCOE of the HRES in 2030.

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