scholarly journals Multiobjective Optimization of a Hybrid Wind/Solar Battery Energy System in the Arctic

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Thanh-Tuan Nguyen ◽  
Tobias Boström
Keyword(s):  
Multiobjective Optimization ◽  
Wind Turbine ◽  
Energy System ◽  
Cold Climate ◽  
The Arctic ◽  
Optimization Approach ◽  
Single Family ◽  
Hybrid Renewable Energy System ◽  
Pv Modules ◽  
Battery Energy

This paper presents an optimal design of a hybrid wind turbine/PV/battery energy system for a household application using a multiobjective optimization approach, namely, particle swarm optimization (PSO). The ultimately optimal component selection of the hybrid renewable energy system (HRES) is suggested by comprehensively investigating the effects of various factors on the cost-reliability relation, such as the mounting orientation, temperature on the PV modules, wind turbine hub height, different types of batteries, and different load profiles. The optimization results show the feasibility of HRES for a single-family household demand in the arctic region of Tromsø, Norway. As we will discuss in the results, an HRES operating in such a region can achieve great energy-autonomous levels at a reasonable cost partially thanks to the cold climate. The mounting structure and temperature effects on the PV modules and the battery type can significantly change the system performance in terms of cost and reliability, while a higher wind turbine hub offers little improvement. The result suggests an optimal HRES consisting of a wind turbine with a swept area of 21 m2 and a hub height of 12 m, a PV system of 12 m2 with 2-axis tracking, and a battery bank of 3 kWh. This system will achieve 98.2% in self-reliance. Assuming that the system lifetime is 20 years, the annual cost is about 900 USD. Even though this study focuses on an HRES for a single-family application in the arctic, such an approach can be extended for other applications and in other geographical areas.

Modeling of a Hybrid Renewable Energy System “HyRES”

Volume 4 ◽  
2004 ◽  
Author(s):  
K. Altaii ◽  
A. Bradway ◽  
A. M. Al-Jumaily
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Energy System ◽  
Renewable Energies ◽  
Total Power ◽  
Solar Photovoltaic ◽  
Photovoltaic Panel ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

This paper presents the modeling and simulation of a hybrid renewable-energy system. The sizing, availability, and contribution of solar photovoltaic, wind energy and hydro energy can be simulated to determine the viability, stability, and cost effectiveness of such systems. The model allows the user to enter site specific data (hourly, daily, monthly, and annually) such as solar radiation, wind speed and precipitation. Users can select the type and size of wind turbine, hydroelectric turbine, photovoltaic panel and the electrical load placed on the hybrid renewable system. The simulation will determine the total power that can be produced on an hourly, daily, monthly and annual basis, the optimum combination of renewable energies, and usage/storage of each type of renewable energies, given the specified system and the collected data. With the help of HyRES, the model, one can determine which hybrid renewable energy system would best suit a specific site, and also help to determine which type of wind turbine, hydroelectric turbine, or photovoltaic panels would best complement each other for that site.

scholarly journals Optimal Management of a Hybrid Renewable Energy System Coupled with a Membrane Bioreactor Using Enviro-Economic and Power Pinch Analyses for Sustainable Climate Change Adaption

2018 ◽  
Vol 11 (1) ◽  
pp. 66 ◽  
Author(s):  
Tuan-Viet Hoang ◽  
Pouya Ifaei ◽  
Kijeon Nam ◽  
Jouan Rashidi ◽  
Soonho Hwangbo ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Membrane Bioreactor ◽  
Energy System ◽  
Optimization Approach ◽  
Electrical Grid ◽  
Environmental Models ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Scale Optimization ◽  
Hybrid Renewable Energy

This study proposed an optimal hybrid renewable energy system (HRES) to sustainably meet the dynamic electricity demand of a membrane bioreactor. The model-based HRES consists of solar photovoltaic panels, wind turbines, and battery banks with grid connectivity. Three scenarios, 101 sub-scenarios, and three management cases were defined to optimally design the system using a novel dual-scale optimization approach. At the system scale, the power-pinch analysis was applied to minimize both the size of components and the outsourced needed electricity (NE) from Vietnam’s electrical grid. At a local-scale, economic and environmental models were integrated, and the system was graphically optimized using a novel objective function, combined enviro-economic costs (CEECs). The results showed that the optimal CEECs were $850,710/year, $1,030,628/year, and $1,693,476/year for the management cases under good, moderate, and unhealthy air qualities, respectively. The smallest CEEC was obtained when 47% of the demand load of the membrane bioreactor was met using the HRES and the rest was supplied by the grid, resulting in 6,800,769 kg/year of CO2 emissions.

Frequency control of a wind turbine generator–flywheel system

2017 ◽  
Vol 41 (6) ◽  
pp. 397-408 ◽  
Author(s):  
Djalloul Achour ◽  
Mohamed Kesraoui ◽  
Ahmed Chaib ◽  
Abdeldjalil Achour
Keyword(s):  
Wind Turbine ◽  
Power Flow ◽  
Frequency Control ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Turbine Generator ◽  
Integral Control ◽  
Wind Turbine Generator ◽  
Hybrid Renewable Energy System

The aim of this article is to propose an enhanced frequency regulator of a wind turbine generator associated with a flywheel applying an adaptive fuzzy proportional integral control, to supply a stand-alone load at 50 Hz. The flywheel energy storage system is used to balance the produced and consumed powers; it means the flywheel stores energy in case of power excess and delivers it in the opposite case. This power flow control stabilizes more the frequency around the set point. This hybrid renewable energy system is simulated by SIMPOWER in MATLAB Simulink software. Furthermore, performance improvement of the proposed new control is validated by the obtained satisfying results.

scholarly journals NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system

2019 ◽  
Vol 10 (1) ◽  
pp. 463 ◽  
Author(s):  
Mohamed Izdin Hlal ◽  
Vigna K. Ramachandaramurthya ◽  
Sanjeevikumar Padmanaban ◽  
Hamid Reza Kaboli ◽  
Aref Pouryekta ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Turbines ◽  
Energy System ◽  
Weather Data ◽  
Optimum Number ◽  
Economic Optimization ◽  
Nsga Ii ◽  
Battery Energy Storage ◽  
Hybrid Renewable Energy System ◽  
Battery Energy

<span lang="MS">This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES. </span>

scholarly journals Control of the Hybrid Renewable Energy System with Wind Turbine, Photovoltaic Panels and Battery Energy Storage

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1595
Author(s):  
Piotr Gajewski ◽  
Krzysztof Pieńkowski
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Energy System ◽  
Permanent Magnet Synchronous Generator ◽  
Renewable Energy Systems ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

The aim of the paper is the study of the Hybrid Renewable Energy System, which is consisted of two types of renewable energy systems (wind and sun) and is combined with storage energy system (battery). The paper presents the classification and review of architectures of Hybrid Renewable Energy Systems. The considered Hybrid Renewable Energy System was designed as a multi-converter system with gearless Wind Turbine driven Permanent Magnet Synchronous Generator and with a Photovoltaic Array and Battery Energy System. The mathematical models of individual elements of a complex Hybrid Renewable Energy System were described. In the control of both systems of Wind Turbine with Permanent Magnet Synchronous Generator and Photovoltaic array, the algorithms of Maximum Power Point Tracking have been implemented for higher efficiency of energy conversion. The energy storage in the battery has been managed by the control system of a bidirectional DC/DC converter. For the control of the Machine Side Converter and Wind Turbine with Permanent Magnet Synchronous Generator, the vector control method has been implemented. In the control system of the Grid Side Converter, the advanced method of Direct Power Control has been applied. The energy management strategies for optimal flows of electrical energy between individual systems of considered hybrid renewable energy system are developed and described. In order to determine the operation of proposed control systems, the simulation studies have been performed for different conditions of operation of individual elements of the complex hybrid system. The considered control methods and energy management strategies were tested thorough simulation studies for different wind speed variations, different sun irradiations, and different local load demands. The performed simulations are of practical importance in terms of proper operation requirements, design selection of components and energy management of Hybrid Renewable Energy Systems.

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